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1. Adolescents at risk of mental health problems in the COVID-19 pandemic: A prospective population-based study of the effects of government mandates and school closures

Author

Mundy, LK, Canterford, L, Dashti, SG, Husin, HM, Beatson, R, Edwards, B, Patton, GC, Mundy, LK, Canterford, L, Dashti, SG, Husin, HM, Beatson, R, Edwards, B, and Patton, GC

Abstract

There is increasing evidence that the COVID‐19 pandemic has had substantial mental health impacts for adolescents. Yet, few definitive studies have investigated which adolescents were at higher risk of poor mental health and well‐being during the pandemic. Data were drawn from the Childhood to Adolescence Transition Study, a prospective cohort study of students in Australia (N = 1211). Prevalence of mental health outcomes (depressive symptoms, anxiety symptoms, self‐harm and good subjective well‐being) was estimated in school Years 5–12, where Years 11 (2020) and 12 (2021) coincided with the pandemic. The age‐ and sex‐adjusted relative risk of each mental health outcome for each priority group during the pandemic were estimated. During the pandemic, over 50% of study participants reported depressive symptoms, and one quarter reported anxiety symptoms. There was a decrease in good subjective well‐being compared with pre‐pandemic years, while self‐harm prevalence remained similar. History of mental health problems, school disengagement and frequent peer victimisation increased the risk of experiencing mental health problems during the pandemic. Schools play a central role in maintaining the mental health and good subjective well‐being of students, and this is particularly important during periods of social disruption, such as the COVID‐19 pandemic.

Published
2023

2. Learning outcomes in primary school children with emotional problems: a prospective cohort study

Author

Mundy, LK, Canterford, L, Moreno-Betancur, M, Hoq, M, Viner, RM, Bayer, JK, Lietz, P, Redmond, G, Patton, GC, Mundy, LK, Canterford, L, Moreno-Betancur, M, Hoq, M, Viner, RM, Bayer, JK, Lietz, P, Redmond, G, and Patton, GC

Abstract

BACKGROUND: Academic difficulties are common in adolescents with mental health problems. Although earlier childhood emotional problems, characterised by heightened anxiety and depressive symptoms are common forerunners to adolescent mental health problems, the degree to which mental health problems in childhood may contribute independently to academic difficulties has been little explored. METHODS: Data were drawn from a prospective cohort study of students in Melbourne, Australia (N = 1239). Data were linked with a standardised national assessment of academic performance at baseline (9 years) and wave three (11 years). Depressive and anxiety symptoms were assessed at baseline and wave two (10 years). Regression analyses estimated the association between emotional problems (9 and/or 10 years) and academic performance at 11 years, adjusting for baseline academic performance, sex, age and socioeconomic status, and hyperactivity/inattention symptoms. RESULTS: Students with depressive symptoms at 9 years of age had lost nearly 4 months of numeracy learning two years later after controlling for baseline academic performance and confounders. Results were similar for anxiety symptoms. Regardless of when depressive symptoms occurred there were consistent associations with poorer numeracy performance at 11 years. The association of depressive symptoms with reading performance was weaker than for numeracy if they were present at wave two. Persistent anxiety symptoms across two waves led to nearly a 4 month loss of numeracy learning at 11 years, but the difference was not meaningful for reading. Findings were similar when including hyperactivity/inattention symptoms. CONCLUSIONS: Childhood anxiety and depression are not only forerunners of later mental health problems but predict academic achievement. Partnerships between education and health systems have the potential to not only improve childhood emotional problems but also improve learning.

Published
2023

3. Mortality among people who have experienced homelessness: protocol for a systematic review and meta-analysis

Author

Heerde, J, Borschmann, R, Young, J, Kinner, SA, Sawyer, SM, Patton, GC, Heerde, J, Borschmann, R, Young, J, Kinner, SA, Sawyer, SM, and Patton, GC

Abstract

INTRODUCTION: Homelessness is a major contributor to health inequalities. People who experience homelessness are at markedly increased risk of multiple and complex health morbidities which likely increase their susceptibility to early, preventable death. Despite this, the mortality burden in this group remains poorly understood, limited in part by insufficient synthesis of data at a global level. This systematic review will synthesise international literature examining rates of risk and protective factors for mortality among people who have experienced homelessness. METHODS AND ANALYSIS: We will search MEDLINE, PsycINFO, Embase and PubMed for peer-reviewed cohort studies examining mortality among people who have experienced homelessness. No study eligibility restrictions will be placed on the date, country of origin, or language of publications, or age of the sample. We will assess the quality of included studies using the Methodological Standards for Epidemiological Research scale. Our measures of mortality will include: (A) incidence-all cause and cause specific, expressed as a crude mortality rate (CMR) per 1000 person-years, with 95% CI and (B) all cause and cause specific, indirectly standardised mortality ratios (SMRs) with 95%CI. Associations between risk and protective factors and all-cause and cause-specific mortality will be reported using pooled relative risk ratios with 95% CI. Where there are sufficient data, the influence of subgroup and methodological factors on CMRs, SMRs and predictive factors will be examined using meta-regression. ETHICS AND DISSEMINATION: This study does not require institutional ethics review or approval as it will synthesise findings from published studies that have previously been granted relevant ethics approvals. Study findings will be disseminated through a peer-reviewed journal article, conference and seminar presentations. A plain language summary will be distributed through the authors' academic and professional networks

Published
2023

4. Parental personality and early life ecology: a prospective cohort study from preconception to postpartum

Author

Spry, EA, Olsson, CA, Aarsman, SR, Husin, HM, Macdonald, JA, Dashti, SG, Moreno-Betancur, M, Letcher, P, Biden, EJ, Thomson, KC, McAnally, H, Greenwood, CJ, Middleton, M, Hutchinson, DM, Carlin, JB, Patton, GC, Spry, EA, Olsson, CA, Aarsman, SR, Husin, HM, Macdonald, JA, Dashti, SG, Moreno-Betancur, M, Letcher, P, Biden, EJ, Thomson, KC, McAnally, H, Greenwood, CJ, Middleton, M, Hutchinson, DM, Carlin, JB, and Patton, GC

Abstract

Personality reliably predicts life outcomes ranging from social and material resources to mental health and interpersonal capacities. However, little is known about the potential intergenerational impact of parent personality prior to offspring conception on family resources and child development across the first thousand days of life. We analysed data from the Victorian Intergenerational Health Cohort Study (665 parents, 1030 infants; est. 1992), a two-generation study with prospective assessment of preconception background factors in parental adolescence, preconception personality traits in young adulthood (agreeableness, conscientiousness, emotional stability, extraversion, and openness), and multiple parental resources and infant characteristics in pregnancy and after the birth of their child. After adjusting for pre-exposure confounders, both maternal and paternal preconception personality traits were associated with numerous parental resources and attributes in pregnancy and postpartum, as well as with infant biobehavioural characteristics. Effect sizes ranged from small to moderate when considering parent personality traits as continuous exposures, and from small to large when considering personality traits as binary exposures. Young adult personality, well before offspring conception, is associated with the perinatal household social and financial context, parental mental health, parenting style and self-efficacy, and temperamental characteristics of offspring. These are pivotal aspects of early life development that ultimately predict a child's long-term health and development.

Published
2023

5. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Ferrari, AJ, Santomauro, DF, Herrera, AMM, Shadid, J, Ashbaugh, C, Erskine, HE, Charlson, FJ, Degenhardt, L, Scott, JG, McGrath, JJ, Allebeck, P, Benjet, C, Breitborde, NJK, Brugha, T, Dai, X, Dandona, L, Dandona, R, Fischer, F, Haagsma, JA, Maria Haro, J, Kieling, C, Knudsen, AKS, Kumar, GA, Leung, J, Majeed, A, Mitchell, PB, Moitra, M, Mokdad, AH, Molokhia, M, Patten, SB, Patton, GC, Phillips, MR, Soriano, JB, Stein, DJ, Stein, MB, Szoeke, CE, Naghavi, M, Hay, S, Murray, CJL, Vos, T, and Whiteford, HA

Subjects
Adult, Male, Adolescent, Substance-Related Disorders, Mental Disorders, Disability-Adjusted Life Years, Infant, Articles, Middle Aged, Global Health, Severity of Illness Index, Global Burden of Disease, Psychiatry and Mental health, Epidemiologic Studies, Young Adult, Age Distribution, Risk Factors, Child, Preschool, Prevalence, Humans, Female, Child, Biological Psychiatry, Aged
Abstract

Summary Background The mental disorders included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were depressive disorders, anxiety disorders, bipolar disorder, schizophrenia, autism spectrum disorders, conduct disorder, attention-deficit hyperactivity disorder, eating disorders, idiopathic developmental intellectual disability, and a residual category of other mental disorders. We aimed to measure the global, regional, and national prevalence, disability-adjusted life-years (DALYS), years lived with disability (YLDs), and years of life lost (YLLs) for mental disorders from 1990 to 2019. Methods In this study, we assessed prevalence and burden estimates from GBD 2019 for 12 mental disorders, males and females, 23 age groups, 204 countries and territories, between 1990 and 2019. DALYs were estimated as the sum of YLDs and YLLs to premature mortality. We systematically reviewed PsycINFO, Embase, PubMed, and the Global Health Data Exchange to obtain data on prevalence, incidence, remission, duration, severity, and excess mortality for each mental disorder. These data informed a Bayesian meta-regression analysis to estimate prevalence by disorder, age, sex, year, and location. Prevalence was multiplied by corresponding disability weights to estimate YLDs. Cause-specific deaths were compiled from mortality surveillance databases. The Cause of Death Ensemble modelling strategy was used to estimate death rate by age, sex, year, and location. The death rates were multiplied by the years of life expected to be remaining at death based on a normative life expectancy to estimate YLLs. Deaths and YLLs could be calculated only for anorexia nervosa and bulimia nervosa, since these were the only mental disorders identified as underlying causes of death in GBD 2019. Findings Between 1990 and 2019, the global number of DALYs due to mental disorders increased from 80·8 million (95% uncertainty interval [UI] 59·5–105·9) to 125·3 million (93·0–163·2), and the proportion of global DALYs attributed to mental disorders increased from 3·1% (95% UI 2·4–3·9) to 4·9% (3·9–6·1). Age-standardised DALY rates remained largely consistent between 1990 (1581·2 DALYs [1170·9–2061·4] per 100 000 people) and 2019 (1566·2 DALYs [1160·1–2042·8] per 100 000 people). YLDs contributed to most of the mental disorder burden, with 125·3 million YLDs (95% UI 93·0–163·2; 14·6% [12·2–16·8] of global YLDs) in 2019 attributable to mental disorders. Eating disorders accounted for 17 361·5 YLLs (95% UI 15 518·5–21 459·8). Globally, the age-standardised DALY rate for mental disorders was 1426·5 (95% UI 1056·4–1869·5) per 100 000 population among males and 1703·3 (1261·5–2237·8) per 100 000 population among females. Age-standardised DALY rates were highest in Australasia, Tropical Latin America, and high-income North America. Interpretation GBD 2019 showed that mental disorders remained among the top ten leading causes of burden worldwide, with no evidence of global reduction in the burden since 1990. The estimated YLLs for mental disorders were extremely low and do not reflect premature mortality in individuals with mental disorders. Research to establish causal pathways between mental disorders and other fatal health outcomes is recommended so that this may be addressed within the GBD study. To reduce the burden of mental disorders, coordinated delivery of effective prevention and treatment programmes by governments and the global health community is imperative. Funding Bill & Melinda Gates Foundation, Australian National Health and Medical Research Council, Queensland Department of Health, Australia.

Published
2022

6. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Author

Haeuser, E, Serfes, AL, Cork, MA, Yang, M, Abbastabar, H, Abhilash, ES, Adabi, M, Adebayo, OM, Adekanmbi, V, Adeyinka, DA, Afzal, S, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Akalu, Y, Akinyemi, RO, Akunna, CJ, Alahdab, F, Alanezi, FM, Alanzi, TM, Alene, KA, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amugsi, DA, Ancuceanu, R, Anvari, D, Appiah, SCY, Arabloo, J, Aremu, O, Asemahagn, MA, Jafarabadi, MA, Awedew, AF, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azari, S, Azene, ZN, Darshan, BB, Babalola, TK, Baig, AA, Banach, M, Bärnighausen, TW, Bell, AW, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bitew, ZW, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bozicevic, I, Butt, ZA, Cárdenas, R, Carvalho, F, Charan, J, Chattu, VK, Chowdhury, MAK, Chu, D-T, Cowden, RG, Dahlawi, SMA, Damiani, G, Darteh, EKM, Darwesh, AM, das Neves, J, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Deuba, K, Dharmaratne, S, Dianatinasab, M, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Dubljanin, E, Duko, B, El Tantawi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Eyawo, O, Ezeonwumelu, IJ, Ezzikouri, S, Farzadfar, F, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gebregiorgis, BG, Gebremedhin, KB, Getacher, L, Ghadiri, K, Ghashghaee, A, Golechha, M, Gubari, MIM, Gugnani, HC, Guimarães, RA, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hashi, A, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseini, M, Hosseinzadeh, M, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Islam, RM, Iwu, CCD, Jakovljevic, M, Jha, RP, Ji, JS, Johnson, KB, Joseph, N, Joshua, V, Joukar, F, Jozwiak, JJ, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Keramati, M, Khan, EA, Khan, G, Khan, MN, Khatab, K, Khubchandani, J, Kim, YJ, Kisa, A, Kisa, S, Kopec, JA, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kugbey, N, Kulkarni, V, Kumar, M, Kumar, N, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Larson, HJ, Lasrado, S, Lee, PH, Li, S, Liu, X, Maleki, A, Malik, P, Mansournia, MA, Martins-Melo, FR, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mestrovic, T, Mirica, A, Moazen, B, Mohamad, O, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moradi, M, Moraga, P, Mubarik, S, Mulu, GBB, Mwanri, L, Nagarajan, AJ, Naimzada, MD, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Ngalesoni, FN, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, HLT, Nnaji, CA, Noubiap, JJ, Nuñez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Olagunju, AT, Olakunde, BO, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Orisakwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Kan, FP, Patton, GC, Pawar, S, Peprah, EK, Postma, MJ, Preotescu, L, Syed, ZQ, Rabiee, N, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Regassa, LD, Rezaei, N, Rezapour, A, Riaz, MA, Ribeiro, AI, Ross, JM, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Moghaddam, SS, Sagar, R, Sahiledengle, B, Sahu, M, Salem, MR, Kafil, HS, Samy, AM, Sartorius, B, Sathian, B, Seidu, A-A, Shaheen, AA, Shaikh, MA, Shamsizadeh, M, Shiferaw, WS, Shin, JI, Shrestha, R, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Taveira, N, Tesfay, FH, Thapar, R, Tovani-Palone, MR, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Villafañe, JH, Violante, FS, Vo, B, Vu, GT, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Ward, P, Wickramasinghe, ND, Wilson, K, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Zastrozhin, MS, Zhang, Y, Zhang, Z-J, Hay, SI, Dwyer-Lindgren, L, Local Burden of Disease sub-Saharan Africa HIV Prevalence Collaborators, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Haeuser, Emily, Serfes, Audrey L., Cork, Michael A., Yang, Mingyou, Ahmed, Muktar Beshir, Dwyer Lindgrena, Laura, HUS Comprehensive Cancer Center, Helsinki University Hospital Area, Department of Oncology, Epidemiologie, and RS: NUTRIM - R3 - Respiratory & Age-related Health

Subjects
Male, Adult, Settore MED/17 - Malattie Infettive, Adolescent, Settore MED/42 - Igiene Generale e Applicata, HIV Infections, Settore MED/01 - Statistica Medica, Young Adult, HIV Infections/prevention & control, Pregnancy, Seroepidemiologic Studies, General & Internal Medicine, Prevalence, Humans, Geostatistics, Africa, Demographics, HIV, HIV prevalence, Mapping, Spatial statistics, 11 Medical and Health Sciences, Africa South of the Sahara, Acquired Immunodeficiency Syndrome, Acquired Immunodeficiency Syndrome/epidemiology, General Medicine, Middle Aged, Settore SECS-S/04 - Demografia, Africa South of the Sahara/epidemiology, 3142 Public health care science, environmental and occupational health, 3121 General medicine, internal medicine and other clinical medicine, Female
Abstract

Background Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15–59 years across SSA. Methods We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units. Results We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group. Conclusions As the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA.

Published
2022

7. Nutrition in adolescent growth and development

Author

Norris SA, Frongillo EA, Black MM, Dong Y, Fall C, Lampl M, Liese AD, Naguib M, Prentice A, Rochat T, Stephensen CB, Tinago CB, Ward KA, Wrottesley SV, and Patton GC

Subjects
General Economics, Econometrics and Finance
Published
2022

8. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author

Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto

Subjects
RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.

Published
2021

9. Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Collaborators, GAM, Ward, JL, Azzopardi, PS, Francis, KL, Santelli, JS, Skirbekk, V, Sawyer, SM, Kassebaum, NJ, Mokdad, AH, Hay, SI, Abd-Allah, F, Abdoli, A, Abdollahi, M, Abedi, A, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adebayo, OM, Adekanmbi, V, Adham, D, Advani, SM, Afshari, K, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmed, AE, Aji, B, Akombi-Inyang, B, Alahdab, F, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemu, BW, Al-Hajj, S, Alhassan, RK, Ali, S, Alicandro, G, Alijanzadeh, M, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, S, Aminorroaya, A, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Androudi, S, Ansari, F, Ansari, I, Antonio, CAT, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Ärnlöv, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Atout, MMW, Ausloos, M, Avenyo, EK, Avila-Burgos, L, Quintanilla, BPA, Ayano, G, Aynalem, YA, Azari, S, Azene, ZN, Bakhshaei, MH, Bakkannavar, SM, Banach, M, Banik, PC, Barboza, MA, Barker-Collo, SL, Bärnighausen, TW, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Bekuma, TT, Bell, AW, Bell, ML, Benjet, C, Bensenor, IM, Berhe, AK, Berhe, K, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Biondi, A, Birhanu, TTM, Biswas, RK, Bohlouli, S, Bolla, SR, Boloor, A, Borschmann, R, Boufous, S, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Brenner, H, Britton, GB, Burns, RA, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Cámera, LA, Campos-Nonato, IR, Rincon, JCC, Cárdenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chang, H-Y, Chang, J-C, Charan, J, Chattu, VK, Chaturvedi, S, Choi, J-YJ, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Chung, MT, Chung, S-C, Cicuttini, FM, Constantin, TV, Costa, VM, Dahlawi, SMA, Dai, H, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dávila-Cervantes, CA, Davletov, K, De la Hoz, FP, De Leo, D, Dervenis, N, Desai, R, Desalew, A, Deuba, K, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, da Silva, DD, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Doshi, CP, Doshmangir, L, Doyle, KE, Duraes, AR, Kalan, ME, Ebtehaj, S, Edvardsson, D, Tantawi, ME, Elgendy, IY, El-Jaafary, SI, Elsharkawy, A, Eshrati, B, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, S, Faro, A, Farzadfar, F, Fattahi, N, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gallus, S, Gebre, T, Gebremedhin, KB, Gebremeskel, GG, Gebremeskel, L, Gebreslassie, AA, Gesesew, HA, Ghadiri, K, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gilani, SA, Gnedovskaya, EV, Godinho, MA, Golechha, M, Goli, S, Gona, PN, 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Subjects
Male, Joves -- Mortalitat, ADOLESCENT HEALTH, CHILDREN, Socioeconomic Factor, Global Burden of Disease, RA0421, Cause of Death, Medicine, Young adult, Child, 11 Medical and Health Sciences, Cause of death, education.field_of_study, Adolescent, Age Distribution, Female, Humans, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, Mortality rate, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Articles, Hälsovetenskaper, MIDDLE-INCOME, MENTAL-HEALTH, Adolescent health, INTERVENTIONS, Human, SUICIDE, Total fertility rate, Population, Adolescent Health, Adolescents -- Mortalitat, General & Internal Medicine, Health Sciences, QUALITY, Medicine [Science], Social determinants of health, INCOME COUNTRIES, education, business.industry, TRENDS, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, INJURIES, business, Demography
Abstract

Background Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10–24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10–24 years by age group (10–14 years, 15–19 years, and 20–24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10–24 years with that in children aged 0–9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10–24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). Findings In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39–1·59) worldwide in people aged 10–24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10–14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15–19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1–4 years (2·4%), and around a third less than in females aged 1–4 years (2·5%). The proportion of global deaths in people aged 0–24 years that occurred in people aged 10–24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. Interpretation Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10–24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. Funding Bill & Melinda Gates Foundation.

Published
2021

11. Impact of early intervention on the population prevalence of common mental disorders: 20-year prospective study.

Author

Moran, P, Moreno-Betancur, M, Coffey, C, Spry, Liz, Patton, GC, Moran, P, Moreno-Betancur, M, Coffey, C, Spry, Liz, and Patton, GC

Abstract

BACKGROUND: The potential for early interventions to reduce the later prevalence of common mental disorders (CMD) first experienced in adolescence is unclear. AIMS: To examine the course of CMD and evaluate the extent to which the prevalence of CMD could be reduced by preventing adolescent CMD, or by intervening to change four young adult processes, between the ages of 20 and 29 years, that could be mediating the link between adolescent and adult disorder. METHOD: This was a prospective cohort study of 1923 Australian participants assessed repeatedly from adolescence (wave 1, mean age 14 years) to adulthood (wave 10, mean age 35 years). Causal mediation analysis was undertaken to evaluate the extent to which the prevalence of CMD at age 35 years in those with adolescent CMD could be reduced by either preventing adolescent CMD, or by intervening on four young adult mediating processes: the occurrence of young adult CMD, frequent cannabis use, parenting a child by age 24 years, and engagement in higher education and employment. RESULTS: At age 35, 19.2% of participants reported CMD; a quarter of these participants experienced CMD during both adolescence and young adulthood. In total, 49% of those with CMD during both adolescence and young adulthood went on to report CMD at age 35 years. Preventing adolescent CMD reduced the population prevalence at age 35 years by 3.9%. Intervening on all four young adult processes among those with adolescent CMD, reduced this prevalence by 1.6%. CONCLUSIONS: In this Australian cohort, a large proportion of adolescent CMD resolved by adulthood, and by age 35 years, the largest proportion of CMD emerged among individuals without prior CMD. Time-limited, early intervention in those with earlier adolescent disorder is unlikely to substantially reduce the prevalence of CMD in midlife.

Published
2022

13. Coverage of school health monitoring systems in China: a large national cross-sectional survey

Author

Yan, X, Hu, P, Ma, N, Luo, D, Zhang, J, Wang, J, Dong, Y, Xing, Y, Song, Y, Ma, J, Patton, GC, Sawyer, SM, Yan, X, Hu, P, Ma, N, Luo, D, Zhang, J, Wang, J, Dong, Y, Xing, Y, Song, Y, Ma, J, Patton, GC, and Sawyer, SM

Abstract

BACKGROUND: There is growing interest in the role that schools can play in promoting student health. The aim of this study was to describe the coverage of school health monitoring systems for infectious diseases, non-communicable diseases, and school physical environments in China, and to explore differences by geography, regional wealth, and school type. METHODS: A cross-sectional study was performed using data from 2428 schools from 17 provinces in China in 2018. Data were collected using a questionnaire administered by the Ministry of Education through its monitoring system, and included infectious diseases (e.g., reporting system for student infectious diseases), non-communicable diseases (e.g., regular student health examinations), and school physical environments (e.g., monitoring of classroom light, microclimate and drinking water). FINDINGS: Overall, the coverage rate of full school health monitoring systems was 16·6%. The coverage rates of school health monitoring systems for infectious diseases, non-communicable diseases, and school physical environments were 71·2%, 68·5%, and 24·9%, respectively. Coverage was higher in schools from urban rather than rural areas, in schools from areas with greater wealth, and in senior secondary schools rather than junior secondary and primary schools. INTERPRETATION: Systems for monitoring infectious diseases in school students have been widely implemented in China. Systems for monitoring non-communicable diseases and physical environments need to be strengthened. Beyond greater attention in poorer and rural areas, increased investment in more comprehensive approaches to school health is indicated. FUNDING: This study was supported by National Statistical Science Research Project (2021LY052 to YS) and China Scholarship Council (201906015028 to PH).

Published
2022

14. Global, regional, and national time trends in mortality for congenital heart disease, 1990-2019: An age-period-cohort analysis for the Global Burden of Disease 2019 study

Author

Su, Z, Zou, Z, Hay, SI, Liu, Y, Li, S, Chen, H, Naghavi, M, Zimmerman, MS, Martin, GR, Wilner, LB, Sable, CA, Murray, CJL, Kassebaum, NJ, Patton, GC, Zhang, H, Su, Z, Zou, Z, Hay, SI, Liu, Y, Li, S, Chen, H, Naghavi, M, Zimmerman, MS, Martin, GR, Wilner, LB, Sable, CA, Murray, CJL, Kassebaum, NJ, Patton, GC, and Zhang, H

Abstract

BACKGROUND: Congenital heart disease (CHD) is the leading cause of morbidity and mortality from birth defects worldwide. We report an overview of trends in CHD mortality in 204 countries and territories over the past 30 years and associations with age, period, and birth cohort. METHODS: Cause-specific CHD mortality estimates were derived from the Global Burden of Disease 2019 study. We utilised an age-period-cohort model to estimate overall annual percentage changes in mortality (net drifts), annual percentage changes from 0 to 4 to 65-69 years (local drifts), period and cohort relative risks (period/cohort effects) between 1990 and 2019. This approach allows for the examination and differentiation of age, period, and cohort effects in the mortality trends, with the potential to identify disparities and treatment gaps in cardiac care. FINDINGS: CHD is the leading cause of deaths from non-communicable diseases (NCDs) in those under 20 years. Global CHD deaths in 2019 were 217,000 (95% uncertainty interval 177,000-262,000). There were 129 countries with at least 50 deaths. India, China, Pakistan, and Nigeria had the highest mortality, accounting for 39.7% of deaths globally. Between 1990 and 2019, the net drift of CHD mortality ranged from -2.41% per year (95% confidence interval [CI] -2.55, -2.67) in high Socio-demographic Index (SDI) countries to -0.62% per year (95% CI: -0.82, -0.42) in low-SDI countries. Globally, there was an emerging transition in the age distribution of deaths from paediatric to adult populations, except for an increasing trend of mortality in those aged 10-34 years in Mexico and Pakistan. During the past 30 years, favourable mortality reductions were generally found in most high-SDI countries like South Korea (net drift = -4.0% [95% CI -4.8 to -3.1] per year) and the United States (-2.3% [-2.5 to -2.0]), and also in many middle-SDI countries like Brazil (-2.7% [-3.1 to 2.4]) and South Africa (-2.5% [-3.2 to -1.8]). However, 52 of 129 countries

Published
2022

15. Health, social and economic implications of adolescent risk behaviours/states: protocol for Raine Study Gen2 cohort data linkage study

Author

Marino, JL, Tait, RJ, Straker, LM, Schofield, DJ, Doherty, DA, Ivers, RQ, Graham, PL, Steinbeck, K, Lymer, S, Sanci, LA, Patton, GC, Liu, B, Brooks, FM, Kang, MS, Hickey, M, Cunich, M, Bista, S, Skinner, SR, Marino, JL, Tait, RJ, Straker, LM, Schofield, DJ, Doherty, DA, Ivers, RQ, Graham, PL, Steinbeck, K, Lymer, S, Sanci, LA, Patton, GC, Liu, B, Brooks, FM, Kang, MS, Hickey, M, Cunich, M, Bista, S, and Skinner, SR

Abstract

Background: Risk-taking behaviours are a major contributor to youth morbidity and mortality. Vulnerability to these negative outcomes is constructed from individual behaviour including risktaking, and from social context, ecological determinants, early life experience, developmental capacity and mental health, contributing to a state of higher risk. However, although risktaking is part of normal adolescent development, there is no systematic way to distinguish young people with a high probability of serious adverse outcomes, hindering the capacity to screen and intervene. This study aims to explore the association between risk behaviours/states in adolescence and negative health, social and economic outcomes through young adulthood. Methods: The Raine Study is a prospective cohort study which recruited pregnant women in 1989–91, in Perth, Western Australia. The offspring cohort (N = 2,868) was followed up at regular intervals from 1 to 27 years of age. These data will be linked to State government health and welfare administrative data.We will empirically examine relationships across multiple domains of risk (for example, substance use, sexual behaviour, driving) with health and social outcomes (for instance, roadcrash injury, educational underachievement). Microsimulation models will measure the impact of risk-taking on educational attainment and labour force outcomes. Discussion: Comprehensive preventive child health programmes and policy prioritise a healthy start to life. This is the first linkage study focusing on adolescence to adopt a multidomain approach, and to integrate health economic modelling. This approach captures a more complete picture of health and social impacts of risk behaviour/ states in adolescence and young adulthood.

Published
2022

16. Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019

Author

Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, Ivers, RQ, Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, and Ivers, RQ

Abstract

BACKGROUND: Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. METHODS: Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. FINDINGS: In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31·1 million DALYs (of which 16·2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34·4% (from 17·5 to 11·5 per 100 000) for transport injuries, and by 47·7% (from 15·9 to 8·3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80·5% to 42 774 for transport injuries and by 39·4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19

Published
2022

17. The Australian Temperament Project Generation 3 study: a population-based multigenerational prospective cohort study of socioemotional health and development

Author

Olsson, CA, Letcher, P, Greenwood, CJ, McIntosh, JE, Barker, S, Olsson, CM, Macdonald, JA, Spry, EA, Hutchinson, D, Ryan, J, Edwards, B, McGee, R, Patton, GC, Sanson, A, Olsson, CA, Letcher, P, Greenwood, CJ, McIntosh, JE, Barker, S, Olsson, CM, Macdonald, JA, Spry, EA, Hutchinson, D, Ryan, J, Edwards, B, McGee, R, Patton, GC, and Sanson, A

Abstract

PURPOSE: The Australian Temperament Project Generation 3 Study (ATPG3) was established to examine the extent to which offspring social and emotional development is shaped in the decades prior to conception, in parent and grandparent histories of psychosocial adjustment (eg, emotional regulation, relationship quality and prosociality) and maladjustment (eg, depressive symptoms, substance use and antisociality). PARTICIPANTS: The Australian Temperament Project (ATP) commenced in 1983 as a population representative survey of the social and emotional health of 2443 young Australians (Generation 2: 4-8 months old) and their parents (Generation 1). Since then, families have been followed from infancy to young adulthood (16 waves). Between 2012 and 2018, the cohort was screened biannually for pregnancies (Generation 3), with assessments conducted in the third trimester of pregnancy, and at 8 weeks and 1 year postpartum. FINDINGS TO DATE: A total of 1167 offspring (607 female) born to 703 Generation 2 parents (400 mothers) were recruited into the ATPG3 Study. Findings to date highlight: (1) strong continuities in depressive symptoms and substance use from adolescence through to becoming a parent; (2) a role for persistent preconception mental health problems in risk for parent-child bonding difficulties, as well as infant emotional reactivity and behaviour problems; (3) the importance of secure attachments in adolescence in reducing long-term risk for postpartum mental health problems; and (4) the protective nature of perceived social support, both preconception and postpartum, in strengthening relationship quality and social support during the COVID-19 pandemic. FUTURE PLANS: Assessments of ATPG3 families in preschool and middle childhood are currently funded and underway. We intend to maintain the offspring cohort through childhood, adolescence, young adulthood and into parenthood. Data will be used to map preconception determinants of emotional health, and enhance approa

Published
2022

18. The Cumulative Effect of Multilevel Factors on Myopia Prevalence, Incidence, and Progression Among Children and Adolescents in China During the COVID-19 Pandemic

Author

Dong, Y, Jan, C, Chen, L, Ma, T, Liu, J, Zhang, Y, Ma, Q, Zhong, P, Song, Y, Ma, J, Patton, GC, Sawyer, SM, Dong, Y, Jan, C, Chen, L, Ma, T, Liu, J, Zhang, Y, Ma, Q, Zhong, P, Song, Y, Ma, J, Patton, GC, and Sawyer, SM

Abstract

PURPOSE: To estimate the effects of school closures and associated lifestyle changes on myopia in Chinese children and adolescents during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Two cross-sectional surveys recruited 14,296 Chinese students aged 7 to 18 years in November 2019 and June 2020 from which an open cohort study (nested queue design) was derived and used to assess myopia prevalence, incidence, and progression rates (defined as students with progression in myopia severity at the second survey wave among those with myopia at baseline). The severity of myopia was determined by measurements of visual acuity (<5.0) and noncycloplegic refraction (spherical equivalent <-0.50 diopters). Twenty-three myopia-influencing factors were divided into three categories: eye-use habits, lifestyle, and family and subjective factors. Responses to each of these 23 factors were labeled as either positive or negative options and then combined to generate a comprehensive score. RESULTS: Boys and girls were equally represented (50%) and had the same average age (11.5 years) at each wave. The myopia prevalence increased from 48.2% to 60.0%, with 27.1% myopia incidence and 13.2% myopia progression rates for Chinese children and adolescents. Each of the 23 factors was associated with myopia prevalence but had no significant effect on myopia incidence or progression. However, these 23 factors had a cumulative effect on myopia risks; higher scores were associated with more positive factors and lower risk ratios of myopia and vice versa. Except for the progression rate, the myopia prevalence and incidence and risk ratios decreased with higher comprehensive scores. CONCLUSIONS: School closures during the COVID-19 pandemic increased the risk of myopia in Chinese children and adolescents due to the accumulation of poor eyesight habits, unhealthy lifestyles, and excessive screen time. TRANSLATIONAL RELEVANCE: Rather than focusing on single risk factors for myopia, future my

Published
2022

19. The role of school connectedness in the prevention of youth depression and anxiety: a systematic review with youth consultation

Author

Raniti, M, Rakesh, D, Patton, GC, Sawyer, SM, Raniti, M, Rakesh, D, Patton, GC, and Sawyer, SM

Abstract

BACKGROUND: School connectedness reflects the quality of students' engagement with peers, teachers, and learning in the school environment. It has attracted attention from both the health and education sectors as a potentially modifiable protective factor for common mental health problems. However, the extent to which school connectedness may prevent the onset of youth depression or anxiety or promote their remission is unclear. This systematic review examined evidence for prospective relationships between school connectedness and depression and anxiety, and the effect of interventions to improve school connectedness on depression and anxiety. METHODS: We searched MEDLINE, PsycINFO, PubMed, and ERIC electronic databases for peer-reviewed quantitative longitudinal, or intervention studies published from 2011-21 in English examining relationships between school connectedness and anxiety and/or depression. Participants were 14-24 years old when depression and anxiety outcomes were assessed in any education setting in any country. We partnered with five youth advisers (aged 16-21 years) with lived experience of mental health problems and/or the schooling system in Australia, Indonesia, and the Philippines to ensure that youth perspectives informed the review. RESULTS: Our search identified 3552 unique records from which 34 longitudinal and 2 intervention studies were ultimately included. Studies were primarily from the United States of America (69.4%). Depression and anxiety outcomes were first measured at 14 years old, on average. Most studies found a significant protective relationship between higher levels of school connectedness and depressive and/or anxiety symptoms; more measured depression than anxiety. A few studies found a non-significant relationship. Both intervention studies designed to increase school connectedness improved depression, one through improvements in self-esteem and one through improvements in relationships at school. CONCLUSIONS: These finding

Published
2022

21. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author

Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, Madureira-Carvalho, AM, Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, and Madureira-Carvalho, AM

Abstract

BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attribu

Published
2022

22. World Health Organization and knowledge translation in maternal, newborn, child and adolescent health and nutrition.

Author

STAGE (Strategic Technical Advisory Group of Experts), Duke, T, AlBuhairan, FS, Agarwal, K, Arora, NK, Arulkumaran, S, Bhutta, ZA, Binka, F, Castro, A, Claeson, M, Dao, B, Darmstadt, GL, English, M, Jardali, F, Merson, M, Ferrand, RA, Golden, A, Golden, MH, Homer, C, Jehan, F, Kabiru, CW, Kirkwood, B, Lawn, JE, Li, S, Patton, GC, Ruel, M, Sandall, J, Sachdev, HS, Tomlinson, M, Waiswa, P, Walker, D, Zlotkin, S, STAGE (Strategic Technical Advisory Group of Experts), Duke, T, AlBuhairan, FS, Agarwal, K, Arora, NK, Arulkumaran, S, Bhutta, ZA, Binka, F, Castro, A, Claeson, M, Dao, B, Darmstadt, GL, English, M, Jardali, F, Merson, M, Ferrand, RA, Golden, A, Golden, MH, Homer, C, Jehan, F, Kabiru, CW, Kirkwood, B, Lawn, JE, Li, S, Patton, GC, Ruel, M, Sandall, J, Sachdev, HS, Tomlinson, M, Waiswa, P, Walker, D, and Zlotkin, S

Abstract

The World Health Organization (WHO) has a mandate to promote maternal and child health and welfare through support to governments in the form of technical assistance, standards, epidemiological and statistical services, promoting teaching and training of healthcare professionals and providing direct aid in emergencies. The Strategic and Technical Advisory Group of Experts (STAGE) for maternal, newborn, child and adolescent health and nutrition (MNCAHN) was established in 2020 to advise the Director-General of WHO on issues relating to MNCAHN. STAGE comprises individuals from multiple low-income and middle-income and high-income countries, has representatives from many professional disciplines and with diverse experience and interests.Progress in MNCAHN requires improvements in quality of services, equity of access and the evolution of services as technical guidance, community needs and epidemiology changes. Knowledge translation of WHO guidance and other guidelines is an important part of this. Countries need effective and responsive structures for adaptation and implementation of evidence-based interventions, strategies to improve guideline uptake, education and training and mechanisms to monitor quality and safety. This paper summarises STAGE's recommendations on how to improve knowledge translation in MNCAHN. They include support for national and regional technical advisory groups and subnational committees that coordinate maternal and child health; support for national plans for MNCAHN and their implementation and monitoring; the production of a small number of consolidated MNCAHN guidelines to promote integrated and holistic care; education and quality improvement strategies to support guidelines uptake; monitoring of gaps in knowledge translation and operational research in MNCAHN.

Published
2022

24. Mapping routine measles vaccination in low- and middle-income countries

Author

Sbarra, AN, Rolfe, S, Nguyen, JQ, Earl, L, Galles, NC, Marks, A, Abbas, KM, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abegaz, KH, Abiy, HAA, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Adabi, M, Adebayo, OM, Adekanmbi, V, Adetokunboh, OO, Adham, D, Afarideh, M, Aghaali, M, Ahmad, T, Ahmadi, R, Ahmadi, K, Ahmed, MB, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemnew, BT, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipoor, R, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Amare, B, Amini, S, Amini-Rarani, M, Amiri, F, Amit, AML, Amugsi, DA, Ancuceanu, R, Andrei, CL, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Ansha, MG, Antonio, CAT, Antriyandarti, E, Anvari, D, Arabloo, J, Arab-Zozani, M, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Asgari, S, Atafar, Z, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azadmehr, A, Azari, S, Babaee, E, Badawi, A, Badiye, AD, Bahrami, MA, Baig, AA, Bakhtiari, A, Balakrishnan, S, Banach, M, Banik, PC, Barac, A, Baradaran-Seyed, Z, Baraki, AG, Basu, S, Bayati, M, Bayou, YT, Bedi, N, Behzadifar, M, Bell, ML, Berbada, DA, Berhe, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Birhanu, M, Bisanzio, D, Biswas, A, Bohlouli, S, Bolla, SR, Borzouei, S, Brady, OJ, Bragazzi, NL, Briko, AN, Briko, NI, Nagaraja, SB, Butt, ZA, Cámera, LA, Campos-Nonato, IR, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castro, F, Chattu, VK, Chehrazi, M, Chin, KL, Chu, D-T, Cook, AJ, Cormier, NM, Cunningham, B, Dahlawi, SMA, Damiani, G, Dandona, R, Dandona, L, Danovaro, MC, Dansereau, E, Daoud, F, Darwesh, AM, Darwish, AH, Das, JK, Weaver, ND, De Neve, J-W, Demeke, FM, Demis, AB, Denova-Gutiérrez, E, Desalew, A, Deshpande, A, Desta, DM, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, Diaz, D, Dipeolu, IO, Djalalinia, S, Do, HT, Dorostkar, F, Doshmangir, L, Doyle, KE, Dunachie, SJ, Duraes, AR, Kalan, ME, Leylabadlo, HE, Edinur, HA, Effiong, A, Eftekhari, A, El, Sayed, I, El, Sayed, Zaki, M, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Elsharkawy, A, Emamian, MH, Enany, S, Eshrati, B, Eskandari, K, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, A, Etisso, AE, Farahmand, M, Faraon, EJA, Fareed, M, Faridnia, R, Farioli, A, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Foroutan, M, Fukumoto, T, Fullman, N, Gad, MM, Geberemariyam, BS, Gebrehiwot, TT, Gebrehiwot, AM, Gebremariam, KT, Gebremedhin, KB, Gebremeskel, GG, Gebreslassie, AA, Gedefaw, GA, Gezae, KE, Ghadiri, K, Ghaffari, R, Ghaffarifar, F, Ghajarzadeh, M, Gheshlagh, RG, Ghashghaee, A, Ghiasvand, H, Gholamian, A, Gilani, SA, Gill, PS, Girmay, A, Gomes, NGM, Gopalani, SV, Goulart, BNG, Grada, A, Guimarães, RA, Guo, Y, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Handiso, DW, Hanif, A, Haririan, H, Hasaballah, AI, Hasan, MM, Hasanpoor, E, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Heydarpour, F, Hollerich, GI, Rad, EH, Hoogar, P, Hossain, N, Hosseini, M, Hosseinzadeh, M, Househ, M, Hu, G, Huda, TM, Humayun, A, Ibitoye, SE, Ikilezi, G, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani-Nasab, MH, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, SMS, Islam, MM, Iwu, CJ, Iwu, CCD, Jadidi-Niaragh, F, Jafarinia, M, Jahanmehr, N, Jakovljevic, M, Jalali, A, Jalilian, F, Javidnia, J, Jenabi, E, Jha, V, Ji, JS, John, O, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, Z, Kabir, A, Kalani, H, Kalankesh, LR, Kalhor, R, Kamal, Z, Kanchan, T, Kapoor, N, Karami, M, Matin, BK, Karch, A, Karimi, SE, Kayode, GA, Karyani, AK, Keiyoro, PN, Khader, YS, Khafaie, MA, Khammarnia, M, Khan, MS, Khan, EA, Khan, J, Khan, MN, Khatab, K, Khater, MM, Khatib, MN, Khayamzadeh, M, Khazaei, M, Khazaei, S, Khosravi, A, Khubchandani, J, Kianipour, N, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kolola, T, Komaki, H, Kosen, S, Koul, PA, Koyanagi, A, Kraemer, MUG, Krishan, K, Kuate Defo, B, Kumar, M, Kumar, P, Kumar, GA, Kusuma, D, La Vecchia, C, Lacey, B, Lad, SD, Lal, DK, Lam, F, Lami, FH, Lansingh, VC, Larson, HJ, Lasrado, S, Lee, SWH, Lee, PH, LeGrand, KE, Lenjebo, TL, Li, S, Liang, X, Liu, PY, Lopukhov, PD, Machado, DB, Mahasha, PW, Mahdavi, MM, Maheri, M, Mahotra, NB, Maled, V, Maleki, S, Malik, MA, Malta, DC, Mansour-Ghanaei, F, Mansouri, B, Mansourian, M, Mansournia, MA, Martins-Melo, FR, Masaka, A, Mayala, BK, Mehndiratta, MM, Mehri, F, Mehta, KM, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, EW, Mestrovic, T, Mihretie, KM, Miller-Petrie, MK, Mills, EJ, Milne, GJ, Mirabi, P, Mirrakhimov, EM, Mirzaei, R, Mirzaei, M, Mirzaei, HR, Mirzaei, H, Mirzaei-Alavijeh, M, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, DK, Mohammad, Y, Mohammad, KA, Mohammad Gholi Mezerji, N, Mohammadbeigi, A, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, AS, Mohammed, H, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, MA, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Joo, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Mosapour, A, Mouodi, S, Mousavi, SM, Khaneghah, AM, Mueller, UO, Muluneh, AG, Munro, SB, Murray, CJL, Murthy, GVS, Muthupandian, S, Naderi, M, Nagarajan, AJ, Naghavi, M, Nangia, V, Nansseu, JR, Nayak, VC, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, CTK, Nguyen, TH, Nigatu, YT, Nikbakhsh, R, Nikfar, S, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Oh, I-H, Oladnabi, M, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Omer, MO, Onwujekwe, OE, Osgood-Zimmerman, AE, Owolabi, MO, P, A, M, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pando-Robles, V, Pashaei, T, Pasupula, DK, Paternina-Caicedo, AJ, Patton, GC, Pazoki Toroudi, H, Pepito, VCF, Pescarini, JM, Pigott, DM, Pilgrim, T, Pirsaheb, M, Poljak, M, Postma, MJ, Pourjafar, H, Pourmalek, F, Pourmirza, Kalhori, R, Prada, SI, Prakash, S, Quazi Syed, Z, Quintana, H, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rajati, F, Rameto, MA, Ramezanzadeh, K, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rawat, R, Renjith, V, Renzaho, AMN, Reshmi, B, Reta, MA, Rezaei, N, Rezai, MS, Rezapour, A, Riahi, SM, Ribeiro, AI, Rickard, J, Rios-Blancas, M, Rios-González, CM, Roever, L, Rostamian, M, Rubino, S, Rwegerera, GM, Saad, AM, Saadatagah, S, Sabour, S, Sadeghi, E, Moghaddam, SS, Saeidi, S, Sagar, R, Sahebkar, A, Sahraian, MA, Sajadi, SM, Salahshoor, MR, Salam, N, Salem, H, Salem, MR, Salomon, JA, Kafil, HS, Sambala, EZ, Samy, AM, Saraswathy, SYI, Sarmiento-Suárez, R, Saroshe, S, Sartorius, B, Sarveazad, A, Sathian, B, Sathish, T, Schaeffer, LE, Schwebel, DC, Senthilkumaran, S, Shabaninejad, H, Shahabi, S, Shaheen, AA, Shaikh, MA, Shalash, AS, Shams-Beyranvand, M, Shamsi, MB, Shamsizadeh, M, Sharafi, K, Sharifi, H, Sheikh, A, Sheikhtaheri, A, Shetty, RS, Shiferaw, WS, Shigematsu, M, Shin, JI, Shirkoohi, R, Siabani, S, Siddiqi, TJ, Silverberg, JIS, Simonetti, B, Singh, JA, Sinha, DN, Sinke, AH, Soheili, A, Sokhan, A, Soltani, S, Soofi, M, Sorrie, MB, Soyiri, IN, Spotin, A, Spurlock, EE, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Suleria, HAR, Abdulkader, RS, Taherkhani, A, Tapak, L, Taveira, N, Taymoori, P, Tefera, YM, Tehrani-Banihashemi, A, Teklehaimanot, BF, Tekulu, GH, Tesfay, BE, Tessema, ZT, Tessema, B, Thankappan, KR, Tohidinik, HR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Uddin, R, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vaezi, M, Valadan, Tahbaz, S, Valdez, PR, Vasseghian, Y, Veisani, Y, Violante, FS, Vollmer, S, Waheed, Y, Wakefield, J, Wang, Y, Wang, Y-P, Weldesamuel, GT, Werdecker, A, Westerman, R, Wiangkham, T, Wiens, KE, Wiysonge, CS, Woldu, G, Wondafrash, DZ, Wonde, TE, Wu, A-M, Yadollahpour, A, Jabbari, SHY, Yamada, T, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yip, P, Yonemoto, N, Younis, MZ, Yousefi, Z, Yousefifard, M, Yousefinezhadi, T, Yu, C, Yusefzadeh, H, Zadey, S, Zahirian, Moghadam, T, Zaki, L, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zangeneh, A, Zarei, F, Zerfu, TA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zhou, M, Ziapour, A, Hay, SI, Lim, SS, Mosser, JF, Local Burden of Disease Vaccine Coverage Collaborators, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), HUS Comprehensive Cancer Center, Clinicum, Department of Oncology, Sbarra, Alyssa N., Rolfe, Sam, Nguyen, Jason Q., Earl, Lucas, Ahmed, MB, Mosser, Jonathan F, Collaborators, Local Burden of Disease Vaccine Coverage, Bill & Melinda Gates Foundation, Alexander von Humboldt-Stiftung, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Universiti Sains Malaysia (Malasia), Panjab University (India), NIHR - Oxford Biomedical Research Centre (Reino Unido), Australian Research Council, Instituto de Saúde Pública da Universidade do Porto, Local Burden Dis Educ Attainment C, Local Burden of Disease Vaccine Coverage Collaborator, and Violante FS

Subjects
and promotion of well-being, Vacunación Masiva, Internationality, Disease prevention, children under 5 years old, Geographic Mapping, Rural Health, medicine.disease_cause, Cross-reactivity, 0302 clinical medicine, RA0421, Vaccination Refusal, 030212 general & internal medicine, Child, immunity patterns, Pediatric, 0303 health sciences, Public health, Multidisciplinary, biology, Vaccination, Uncertainty, IMMUNIZATION, 3142 Public health care science, environmental and occupational health, COVERAGE, 3. Good health, TIME, 3.4 Vaccines, Child, Preschool, Infectious diseases, A990 Medicine and Dentistry not elsewhere classified, Antibody, Engineering sciences. Technology, AFRICA, General Science & Technology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, 610 Medicine & health, Global Vaccine Action Plan (GVAP), Local Burden of Disease Vaccine Coverage Collaborators, Article, Vaccine Related, 03 medical and health sciences, measles vaccine, Measels, Low- and middle-income countries, Local burden of disease, Clinical Research, medicine, Humans, Healthcare Disparities, Preschool, PROGRESS, 030304 developmental biology, business.industry, MORTALITY, Developed Countries, Prevention, Comment, Vacunación, Urban Health, Prevention of disease and conditions, Virology, Coronavirus, Good Health and Well Being, Cobertura de Vacunación, biology.protein, Immunization, business, Measles
Abstract

The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1–4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5–8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children., Although progress in the coverage of routine measles vaccination in children in low- and middle-income countries was made during 2000–2019, many countries remain far from the goal of 80% coverage in all districts by 2019.

Published
2021

25. Preventing postnatal depression: A causal mediation analysis of a 20-year preconception cohort

Author

Spry, Elizabeth, Moreno-Betancur, M, Middleton, M, Howard, LM, Brown, SJ, Molyneaux, E, Greenwood, Christopher, Letcher, Primrose, Macdonald, Jacqueline, Thomson, KC, Biden, Ebony, Olsson, Craig, Patton, GC, Spry, Elizabeth, Moreno-Betancur, M, Middleton, M, Howard, LM, Brown, SJ, Molyneaux, E, Greenwood, Christopher, Letcher, Primrose, Macdonald, Jacqueline, Thomson, KC, Biden, Ebony, Olsson, Craig, and Patton, GC

Published
2021

26. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author

Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, Jenabi, E, Jha, RP, Ji, JS, John, O, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kamyari, N, Kanchan, T, Kapoor, N, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, EA, Khan, G, Khan, M, Khan, MN, Khang, Y-H, Khatab, K, Khater, AM, Khater, MM, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kissoon, N, Kopec, JA, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Defo, BK, Bicer, BK, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, FH, Landires, I, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Lee, YH, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L-L, Limenih, MA, Lin, R-T, Liu, X, Lodha, R, Lopez, AD, Lozano, R, Lugo, A, Lunevicius, R, Mackay, MT, Kunjathur, SM, Magnani, FG, Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, Kassebaum, NJ, Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, Jenabi, E, Jha, RP, Ji, JS, John, O, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kamyari, N, Kanchan, T, Kapoor, N, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, EA, Khan, G, Khan, M, Khan, MN, Khang, Y-H, Khatab, K, Khater, AM, Khater, MM, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kissoon, N, Kopec, JA, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Defo, BK, Bicer, BK, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, FH, Landires, I, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Lee, YH, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L-L, Limenih, MA, Lin, R-T, Liu, X, Lodha, R, Lopez, AD, Lozano, R, Lugo, A, Lunevicius, R, Mackay, MT, Kunjathur, SM, Magnani, FG, Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, and Kassebaum, NJ

Published
2021

27. Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators

Author

Moreno-Betancur, M, Moran, P, Becker, Denise, Patton, GC, Carlin, JB, Moreno-Betancur, M, Moran, P, Becker, Denise, Patton, GC, and Carlin, JB

Abstract

Many epidemiological questions concern potential interventions to alter the pathways presumed to mediate an association. For example, we consider a study that investigates the benefit of interventions in young adulthood for ameliorating the poorer mid-life psychosocial outcomes of adolescent self-harmers relative to their healthy peers. Two methodological challenges arise. First, mediation methods have hitherto mostly focused on the elusive task of discovering pathways, rather than on the evaluation of mediator interventions. Second, the complexity of such questions is invariably such that there are no well-defined mediator interventions (i.e. actual treatments, programs, etc.) for which data exist on the relevant populations, outcomes and time-spans of interest. Instead, researchers must rely on exposure (non-intervention) data, that is, on mediator measures such as depression symptoms for which the actual interventions that one might implement to alter them are not well defined. We propose a novel framework that addresses these challenges by defining mediation effects that map to a target trial of hypothetical interventions targeting multiple mediators for which we simulate the effects. Specifically, we specify a target trial addressing three policy-relevant questions, regarding the impacts of hypothetical interventions that would shift the mediators’ distributions (separately under various interdependence assumptions, jointly or sequentially) to user-specified distributions that can be emulated with the observed data. We then define novel interventional effects that map to this trial, simulating shifts by setting mediators to random draws from those distributions. We show that estimation using a g-computation method is possible under an expanded set of causal assumptions relative to inference with well-defined interventions, which reflects the lower level of evidence that is expected with ill-defined interventions. Application to the self-harm example in the Vict

Published
2021

29. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E

Published
2021

30. Growth and adrenarche: findings from the CATS observational study

Author

Goddings, AL, Viner, RM, Mundy, L, Romaniuk, Helena, Molesworth, Charlotte, Carlin, JB, Allen, NB, Patton, GC, Goddings, AL, Viner, RM, Mundy, L, Romaniuk, Helena, Molesworth, Charlotte, Carlin, JB, Allen, NB, and Patton, GC

Abstract

BackgroundThere is increasing evidence that patterns of pubertal maturation are associated with different patterns of health risk. This study aimed to explore the associations between anthropometric measures and salivary androgen concentrations in pre-adolescent children.MethodsWe analysed a stratified random sample (N=1151) of pupils aged 8–9 years old from 43 primary schools in Melbourne, Australia from the Childhood to Adolescence Transition Study. Saliva samples were assayed for dehydroepiandrosterone (DHEA), DHEA-sulfate and testosterone. Anthropometric measures included height, weight, body mass index (BMI) and waist circumference. Associations between (1) anthropometric measures and each androgen, and (2) hormone status with obesity and parental report of pubertal development were investigated using linear regression modelling with general estimating equations.ResultsGreater height, weight, BMI and waist circumference were positively associated with higher androgen concentrations, after adjusting for sex and socioeconomic status. Being overweight or obese was associated with higher testosterone and DHEA concentrations compared with the normal BMI category. Those who were obese were more likely (OR=2.7, 95% CI 1.61 to 4.43, p<0.001) to be in the top tertile of age-adjusted androgen status in both sexes.ConclusionThis study provides clear evidence for an association between obesity and higher androgen levels in mid-childhood. The adrenal transition may be a critical time period for weight management intervention strategies in order to manage the risk for metabolic problems in later life for high-risk individuals.

Published
2021

31. International consensus on a standard set of outcome measures for child and youth anxiety, depression, obsessive-compulsive disorder, and post-traumatic stress disorder

Author

Krause, KR, Chung, S, Adewuya, AO, Albano, AM, Babins-Wagner, R, Birkinshaw, L, Brann, P, Creswell, C, Delaney, K, Falissard, B, Forrest, CB, Hudson, JL, Ishikawa, S-I, Khatwani, M, Kieling, C, Krause, J, Malik, K, Martinez, V, Mughal, F, Ollendick, TH, Ong, SH, Patton, GC, Ravens-Sieberer, U, Szatmari, P, Thomas, E, Walters, L, Young, B, Zhao, Y, Wolpert, M, Krause, KR, Chung, S, Adewuya, AO, Albano, AM, Babins-Wagner, R, Birkinshaw, L, Brann, P, Creswell, C, Delaney, K, Falissard, B, Forrest, CB, Hudson, JL, Ishikawa, S-I, Khatwani, M, Kieling, C, Krause, J, Malik, K, Martinez, V, Mughal, F, Ollendick, TH, Ong, SH, Patton, GC, Ravens-Sieberer, U, Szatmari, P, Thomas, E, Walters, L, Young, B, Zhao, Y, and Wolpert, M

Abstract

A major barrier to improving care effectiveness for mental health is a lack of consensus on outcomes measurement. The International Consortium for Health Outcomes Measurement (ICHOM) has already developed a consensus-based standard set of outcomes for anxiety and depression in adults (including the Patient Health Questionnaire-9, the Generalised Anxiety Disorder 7-item Scale, and the WHO Disability Schedule). This Position Paper reports on recommendations specifically for anxiety, depression, obsessive-compulsive disorder, and post-traumatic stress disorder in children and young people aged between 6 and 24 years. An international ICHOM working group of 27 clinical, research, and lived experience experts formed a consensus through teleconferences, an exercise using an adapted Delphi technique (a method for reaching group consensus), and iterative anonymous voting, supported by sequential research inputs. A systematic scoping review identified 70 possible outcomes and 107 relevant measurement instruments. Measures were appraised for their feasibility in routine practice (ie, brevity, free availability, validation in children and young people, and language translation) and psychometric performance (ie, validity, reliability, and sensitivity to change). The final standard set recommends tracking symptoms, suicidal thoughts and behaviour, and functioning as a minimum through seven primarily patient-reported outcome measures: the Revised Children's Anxiety and Depression Scale, the Obsessive Compulsive Inventory for Children, the Children's Revised Impact of Events Scale, the Columbia Suicide Severity Rating Scale, the KIDSCREEN-10, the Children's Global Assessment Scale, and the Child Anxiety Life Interference Scale. The set's recommendations were validated through a feedback survey involving 487 participants across 45 countries. The set should be used alongside the anxiety and depression standard set for adults with clinicians selecting age-appropriate measures.

Published
2021

33. Life-course predictors of homelessness from adolescence into adulthood: A population-based cohort study

Author

Heerde, JA, Bailey, JA, Kelly, AB, McMorris, BJ, Patton, GC, Toumbourou, JW, Heerde, JA, Bailey, JA, Kelly, AB, McMorris, BJ, Patton, GC, and Toumbourou, JW

Abstract

INTRODUCTION: Internationally, the prevalence of young adult homelessness is concerning. Few data on life-course predictors from longitudinal studies exist, limiting our capacity to inform prevention strategies at the population-level. METHODS: Data were drawn from a state representative population-based sample of young adults from Victoria, Australia participating in the International Youth Development Study (IYDS; N = 927, 54% female). Participants were recruited in state-representative secondary school samples at Grade 7 (age 13, 2002), with follow-up in Grades 9 (age 15) and 11 (age 17) and at ages 21, 23 and 25. Using longitudinal path modelling, we conducted a series of analyses testing life-course predictors of young adult homelessness across multiple socializing contexts, and the interrelationships among them. RESULTS: The rate of young adult homelessness was 5.5%. Path modelling showed higher levels of family conflict at ages 13 and 15 uniquely predicted homelessness by age 25. This effect remained after accounting for other risk factors in peer-group (e.g., interactions with antisocial peers), school (e.g., low academic performance), and community contexts (e.g., low neighborhood attachment). Peer drug use and interaction with antisocial peers at age 15 mediated the association between family conflict at age 13 and homelessness by age 25. CONCLUSIONS: Findings point to the vulnerability of early adolescents to family conflict. This vulnerability heightens risk for young adult homelessness. Findings strengthen the case for both primary prevention programs that build healthy relationships between family members from early on in adolescence and for investment in homelessness prevention at key developmental periods.

Published
2021

35. Matching action to need: an analysis of Global Burden of Disease 2017 and population health data to focus adolescent health policy and actions in Myanmar

Author

Cini, K, Win, PM, Swe, ZY, Than, KK, Win, TM, Aung, YW, Myint, AA, Wulan, NR, Burns, LJ, Kennedy, EC, Francis, KL, Sanda, Myat, SM, Swe, S, Ko, AK, Yadanar, Hellard, M, Hughes, CL, Patton, GC, Mokdad, AH, Azzopardi, PS, Cini, K, Win, PM, Swe, ZY, Than, KK, Win, TM, Aung, YW, Myint, AA, Wulan, NR, Burns, LJ, Kennedy, EC, Francis, KL, Sanda, Myat, SM, Swe, S, Ko, AK, Yadanar, Hellard, M, Hughes, CL, Patton, GC, Mokdad, AH, and Azzopardi, PS

Abstract

Background: Myanmar is a country undergoing rapid transitions in health. Its national strategic policy for young people's health is being revised but there is a paucity of population data to inform local priorities and needs. Objective: In this paper we describe a comprehensive profile of adolescent health in Myanmar to focus policy and health actions. Methods: We used available primary data, and modelled estimates from the GBD 2017, to describe health outcomes (mortality and morbidity), health risks and determinants for adolescents in Myanmar between 1990-2017. A governance group of key stakeholders guided the framing of the study, interpretation of findings, and recommendations. Results: Overall health has improved for adolescents in Myanmar since 1990, however adolescent mortality remains high, particularly so for older adolescent males; all-cause mortality rate for 10-24 years was 70 per 100,000 for females and 149 per 100,000 for males (16,095 adolescent deaths in 2017). Overall, the dominant health problems were injuries for males and non-communicable disease for females in a context of ongoing burden of communicable and nutritional diseases for both sexes, and reproductive health needs for females. Health risks relating to undernutrition (thinness and anaemia) remain prevalent, with other health risks (overweight, binge alcohol use, and substance use) relatively low by global and regional standards but increasing. Gains have been made in social determinants such as adolescent fertility and modern contraception use; however, advances have been more limited in secondary education completion and engagement in employment and post education training. Conclusions: These results highlight the need to focus current efforts on addressing disease and mortality experienced by adolescents in Myanmar, with a specific focus on injury, mental health and non-communicable disease.

Published
2021

36. Longitudinal prediction of periconception alcohol use: a 20-year prospective cohort study across adolescence, young adulthood and pregnancy

Author

Hutchinson, D, Spry, EA, Mohamad Husin, H, Middleton, M, Hearps, S, Moreno-Betancur, M, Elliott, EJ, Ryan, J, Olsson, CA, Patton, GC, Hutchinson, D, Spry, EA, Mohamad Husin, H, Middleton, M, Hearps, S, Moreno-Betancur, M, Elliott, EJ, Ryan, J, Olsson, CA, and Patton, GC

Abstract

BACKGROUND AND AIMS: Alcohol consumption is common in adolescence and young adulthood and may continue into pregnancy, posing serious risk to early fetal development. We examine the frequency of periconception alcohol use (prior to pregnancy awareness) and the extent to which adolescent and young adult alcohol use prospectively predict periconception use. DESIGN: A longitudinal, population-based study. SETTING: Victoria, Australia. PARTICIPANTS: A total of 289 women in trimester three of pregnancy (age 29-35 years; 388 pregnancies). MEASURES: The main exposures were binge [≥ 4.0 standard drinks (SDs)/day] and frequent (≥ 3 days/week) drinking in adolescence (mean age = 14.9-17.4 years) and young adulthood (mean age 20.7-29.1 years). Outcomes were frequency (≥ 3 days/week, ≥ monthly, never) and quantity (≥ 4.0 SDs, ≥ 0.5 and < 4.0 SDs, none) of periconception drinking. FINDINGS: Alcohol use was common in young adulthood prior to pregnancy (72%) and in the early weeks of pregnancy (76%). The proportions drinking on most days and binge drinking were similar at both points. Reflecting a high degree of continuity in alcohol use behaviours, most women who drank periconceptionally had an earlier history of frequent (77%) and/or binge (85%) drinking throughout the adolescent or young adult years. Young adult binge drinking prospectively predicted periconception drinking quantity [odds ratio (OR) = 3.7, 95% confidence interval (CI) = 1.9-7.4], compared with women with no prior history. Similarly, frequent young adult drinking prospectively predicted frequent periconception drinking (OR = 30.7, 95% CI = 12.3-76.7). CONCLUSIONS: Women who engage in risky (i.e. frequent and binge) drinking in their adolescent and young adult years are more likely to report risky drinking in early pregnancy prior to pregnancy recognition than women with no prior history of risky drinking.

Published
2021

37. Growth and adrenarche: findings from the CATS observational study.

Author

Goddings, A-L, Viner, RM, Mundy, L, Romaniuk, H, Molesworth, C, Carlin, JB, Allen, NB, Patton, GC, Goddings, A-L, Viner, RM, Mundy, L, Romaniuk, H, Molesworth, C, Carlin, JB, Allen, NB, and Patton, GC

Abstract

BACKGROUND: There is increasing evidence that patterns of pubertal maturation are associated with different patterns of health risk. This study aimed to explore the associations between anthropometric measures and salivary androgen concentrations in pre-adolescent children. METHODS: We analysed a stratified random sample (N=1151) of pupils aged 8-9 years old from 43 primary schools in Melbourne, Australia from the Childhood to Adolescence Transition Study. Saliva samples were assayed for dehydroepiandrosterone (DHEA), DHEA-sulfate and testosterone. Anthropometric measures included height, weight, body mass index (BMI) and waist circumference. Associations between (1) anthropometric measures and each androgen, and (2) hormone status with obesity and parental report of pubertal development were investigated using linear regression modelling with general estimating equations. RESULTS: Greater height, weight, BMI and waist circumference were positively associated with higher androgen concentrations, after adjusting for sex and socioeconomic status. Being overweight or obese was associated with higher testosterone and DHEA concentrations compared with the normal BMI category. Those who were obese were more likely (OR=2.7, 95% CI 1.61 to 4.43, p<0.001) to be in the top tertile of age-adjusted androgen status in both sexes. CONCLUSION: This study provides clear evidence for an association between obesity and higher androgen levels in mid-childhood. The adrenal transition may be a critical time period for weight management intervention strategies in order to manage the risk for metabolic problems in later life for high-risk individuals.

Published
2021

38. World Health Organization and knowledge translation in maternal, newborn, child and adolescent health and nutrition

Author

Duke, T, AlBuhairan, FS, Agarwal, K, Arora, NK, Arulkumaran, S, Bhutta, ZA, Binka, F, Castro, A, Claeson, M, Dao, B, Darmstadt, GL, English, M, Jardali, F, Merson, M, Ferrand, RA, Golden, A, Golden, MH, Homer, C, Jehan, F, Kabiru, CW, Kirkwood, B, Lawn, JE, Li, S, Patton, GC, Ruel, M, Sandall, J, Sachdev, HS, Tomlinson, M, Waiswa, P, Walker, D, Zlotkin, S, Duke, T, AlBuhairan, FS, Agarwal, K, Arora, NK, Arulkumaran, S, Bhutta, ZA, Binka, F, Castro, A, Claeson, M, Dao, B, Darmstadt, GL, English, M, Jardali, F, Merson, M, Ferrand, RA, Golden, A, Golden, MH, Homer, C, Jehan, F, Kabiru, CW, Kirkwood, B, Lawn, JE, Li, S, Patton, GC, Ruel, M, Sandall, J, Sachdev, HS, Tomlinson, M, Waiswa, P, Walker, D, and Zlotkin, S

Abstract

The World Health Organization (WHO) has a mandate to promote maternal and child health and welfare through support to governments in the form of technical assistance, standards, epidemiological and statistical services, promoting teaching and training of healthcare professionals and providing direct aid in emergencies. The Strategic and Technical Advisory Group of Experts (STAGE) for maternal, newborn, child and adolescent health and nutrition (MNCAHN) was established in 2020 to advise the Director-General of WHO on issues relating to MNCAHN. STAGE comprises individuals from multiple low-income and middle-income and high-income countries, has representatives from many professional disciplines and with diverse experience and interests.Progress in MNCAHN requires improvements in quality of services, equity of access and the evolution of services as technical guidance, community needs and epidemiology changes. Knowledge translation of WHO guidance and other guidelines is an important part of this. Countries need effective and responsive structures for adaptation and implementation of evidence-based interventions, strategies to improve guideline uptake, education and training and mechanisms to monitor quality and safety. This paper summarises STAGE's recommendations on how to improve knowledge translation in MNCAHN. They include support for national and regional technical advisory groups and subnational committees that coordinate maternal and child health; support for national plans for MNCAHN and their implementation and monitoring; the production of a small number of consolidated MNCAHN guidelines to promote integrated and holistic care; education and quality improvement strategies to support guidelines uptake; monitoring of gaps in knowledge translation and operational research in MNCAHN.

Published
2021

39. Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017

Author

James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, S Roberts, NL, Sylte, DO, Henry, NJ, LeGrand, KE, Abdelalim, A, Abdoli, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Agudelo-Botero, M, Ahmad, T, Ahmed, R, Ahmed, MB, Eddine Aichour, MT, Alahdab, F, Alamene, GM, Alanezi, FM, Alebel, A, Alema, NM, Alghnam, SA, Al-Hajj, S, Ali, BA, Ali, S, Alikhani, M, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Abdeldayem Amer, YS, Amini, S, Loreche Amit, AM, Andrei, CL, Ansari-Moghaddam, A, T Antonio, CA, Yaw Appiah, SC, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Asghari, B, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Azari, S, Azarian, G, Badawi, A, Badiye, AD, Bagli, E, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barrero, LH, Barzegar, A, Bayati, M, Baye, BA, Bedi, N, Behzadifar, M, Bekuma, TT, Belete, H, Benjet, C, Bennett, DA, Bensenor, IM, Berhe, K, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bibi, S, Bijani, A, Bin Sayeed, MS, Borges, G, Borzì, AM, Boufous, S, Brazinova, A, Briko, NI, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chanie, WF, Chattu, SK, Chattu, VK, Chatziralli, I, Chaudhary, N, Cho, DY, Kabir Chowdhury, MA, Chu, D-T, Colquhoun, SM, Constantin, M-M, Costa, VM, Damiani, G, Daryani, A, Dávila-Cervantes, CA, Demeke, FM, Demis, AB, Demoz, GT, Demsie, DG, Derakhshani, A, Deribe, K, Desai, R, Nasab, MD, da Silva, DD, Dibaji Forooshani, ZS, Doyle, KE, Driscoll, TR, Dubljanin, E, Adema, BD, Eagan, AW, Eftekhari, A, Ehsani-Chimeh, E, Sayed Zaki, ME, Elemineh, DA, El-Jaafary, SI, El-Khatib, Z, Ellingsen, CL, Emamian, MH, Endalew, DA, Eskandarieh, S, Faris, PS, Faro, A, Farzadfar, F, Fatahi, Y, Fekadu, W, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Feyissa, GT, Filip, I, Fischer, F, Folayan, MO, Foroutan, M, Francis, JM, Franklin, RC, Fukumoto, T, Geberemariyam, BS, Gebre, AK, Gebremedhin, KB, Gebremeskel, GG, Gebremichael, B, Gedefaw, GA, Geta, B, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gholamian, A, Gill, TK, Goulart, AC, Grada, A, Grivna, M, Mohialdeen Gubari, MI, Guimarães, RA, Guo, Y, Gupta, G, Haagsma, JA, Hafezi-Nejad, N, Bidgoli, HH, Hall, BJ, Hamadeh, RR, Hamidi, S, Haro, JM, Hasan, MM, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Hassen, HY, Havmoeller, R, Hayat, K, Hendrie, D, Heydarpour, F, Híjar, M, Ho, HC, Hoang, CL, Hole, MK, Holla, R, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Hu, G, Ibitoye, SE, Ilesanmi, OS, Ilic, I, Ilic, MD, Inbaraj, LR, Indriasih, E, Naghibi Irvani, SS, Shariful Islam, SM, Islam, MM, Ivers, RQ, Jacobsen, KH, Jahani, MA, Jahanmehr, N, Jakovljevic, M, Jalilian, F, Jayaraman, S, Jayatilleke, AU, Jha, RP, John-Akinola, YO, Jonas, JB, Joseph, N, Joukar, F, Jozwiak, JJ, Jungari, SB, Jürisson, M, Kabir, A, Kadel, R, Kahsay, A, Kalankesh, LR, Kalhor, R, Kamil, TA, Kanchan, T, Kapoor, N, Karami, M, Kasaeian, A, Kassaye, HG, Kavetskyy, T, Kebede, HK, Keiyoro, PN, Kelbore, AG, Kelkay, B, Khader, YS, Khafaie, MA, Khalid, N, Khalil, IA, Khalilov, R, Khammarnia, M, Khan, EA, Khan, M, Khanna, T, Khazaie, H, Shadmani, FK, Khundkar, R, Kiirithio, DN, Kim, Y-E, Kim, D, Kim, YJ, Kisa, A, Kisa, S, Komaki, H, M Kondlahalli, SK, Korshunov, VA, Koyanagi, A, G Kraemer, MU, Krishan, K, Bicer, BK, Kugbey, N, Kumar, V, Kumar, N, Kumar, GA, Kumar, M, Kumaresh, G, Kurmi, OP, Kuti, O, Vecchia, CL, Lami, FH, Lamichhane, P, Lang, JJ, Lansingh, VC, Laryea, DO, Lasrado, S, Latifi, A, Lauriola, P, Leasher, JL, Huey Lee, SW, Lenjebo, TL, Levi, M, Li, S, Linn, S, Liu, X, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Madadin, M, El Razek, MMA, Mahotra, NB, Majdan, M, Majeed, A, Malagon-Rojas, JN, Maled, V, Malekzadeh, R, Malta, DC, Manafi, N, Manafi, A, Manda, A-L, Manjunatha, N, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Maravilla, JC, March, LM, Mason-Jones, AJ, Masoumi, SZ, Massenburg, BB, Maulik, PK, Meles, GG, Melese, A, Melketsedik, ZA, N Memiah, PT, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, MM, Meretoja, TJ, Meretoja, A, Merie, HE, Mestrovic, T, Miazgowski, B, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mirzaei-Alavijeh, M, Mithra, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, Y, Mohammad, KA, Darwesh, AM, Gholi Mezerji, NM, Mohammadian-Hafshejani, A, Mohammadoo-Khorasani, M, Mohammadpourhodki, R, Mohammed, S, Mohammed, JA, Mohebi, F, Molokhia, M, Monasta, L, Moodley, Y, Moosazadeh, M, Moradi, M, Moradi, G, Moradi-Lakeh, M, Moradpour, F, Morawska, L, Velásquez, IM, Morisaki, N, Morrison, SD, Mossie, TB, Muluneh, AG, Murthy, S, Musa, KI, Mustafa, G, Nabhan, AF, Nagarajan, AJ, Naik, G, Naimzada, MD, Najafi, F, Nangia, V, Nascimento, BR, Naserbakht, M, Nayak, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, CT, Thi Nguyen, HL, Nikbakhsh, R, Anggraini Ningrum, DN, Nnaji, CA, Nyasulu, PS, Ogbo, FA, Oghenetega, OB, Oh, I-H, Okunga, EW, Olagunju, AT, Olagunju, TO, Bali, AO, Onwujekwe, OE, Asante, KO, Orpana, HM, Ota, E, Otstavnov, N, Otstavnov, SS, A, MP, Padubidri, JR, Pakhale, S, Pakshir, K, Panda-Jonas, S, Park, E-K, Patel, SK, Pathak, A, Pati, S, Patton, GC, Paulos, K, Peden, AE, Filipino Pepito, VC, Pereira, J, Pham, HQ, Phillips, MR, Pinheiro, M, Polibin, RV, Polinder, S, Poustchi, H, Prakash, S, Angga Pribadi, DR, Puri, P, Syed, ZQ, Rabiee, M, Rabiee, N, Radfar, A, Rafay, A, Rafiee, A, Rafiei, A, Rahim, F, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ranganathan, K, Rao, SJ, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, S, Rawal, L, Rawassizadeh, R, Renjith, V, N Renzaho, AM, Resnikoff, S, Rezapour, A, Ribeiro, AI, Rickard, J, Rios González, CM, Ronfani, L, Roshandel, G, Saad, AM, Sabde, YD, Sabour, S, Saddik, B, Safari, S, Safari-Faramani, R, Safarpour, H, Safdarian, M, Sajadi, SM, Salamati, P, Salehi, F, Zahabi, SS, Rashad Salem, MR, Salem, H, Salman, O, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Santric Milicevic, MM, Sarker, AR, Sarveazad, A, Sathian, B, Sawhney, M, Sawyer, SM, Saxena, S, Sayyah, M, Schwebel, DC, Seedat, S, Senthilkumaran, S, Sepanlou, SG, Seyedmousavi, S, Sha, F, Shaahmadi, F, Shahabi, S, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sharifi, H, Sheikh, A, Shigematsu, M, Shin, JI, Shiri, R, Siabani, S, Sigfusdottir, ID, Singh, PK, Singh, JA, Sinha, DN, Smarandache, C-G, R Smith, EU, Soheili, A, Soleymani, B, Soltanian, AR, Soriano, JB, Sorrie, MB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Rasul Suleria, HA, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taddele, BW, Tadesse, DB, Tamiru, AT, Tarigan, IU, Tefera, YM, Tehrani-Banihashemi, A, Tekle, MG, Tekulu, GH, Tesema, AK, Tesfay, BE, Thapar, R, Tilahune, AB, Tlaye, KG, Tohidinik, HR, Topor-Madry, R, Tran, BX, Tran, KB, Tripathy, JP, Tsai, AC, Car, LT, Ullah, S, Ullah, I, Umar, M, Unnikrishnan, B, Upadhyay, E, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Weldesamuel, GT, Werdecker, A, Wiangkham, T, Wolde, HF, Woldeyes, DH, Wondafrash, DZ, Wondmeneh, TG, Wondmieneh, AB, Wu, A-M, Yadav, R, Yadollahpour, A, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Youm, Y, Younis, MZ, Yousefi, Z, Yu, Y, Yu, C, Yusefzadeh, H, Moghadam, TZ, Zaidi, Z, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zarei, A, Zare, F, Zhang, Z-J, Zhang, Y, Zodpey, S, Dandona, L, Dandona, R, Degenhardt, L, Dharmaratne, SD, Hay, SI, Mokdad, AH, Reiner, RC, Sartorius, B, and Vos, T

Subjects
Life Expectancy, Incidence, burden of disease, descriptive epidemiology, global, Humans, Wounds and Injuries, Public Health, Quality-Adjusted Life Years, Morbidity, Global Health, 1106 Human Movement and Sports Sciences, 1117 Public Health and Health Services, 1701 Psychology, Global Burden of Disease
Abstract

BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries.; METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs).; FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100000. In 1990, there were 354064302 (95% uncertainty interval: 338174876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100000 to 3267 (3058 to 3505).; INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Published
2020

40. Parental mental health before and during pregnancy and offspring birth outcomes: A 20-year preconception cohort of maternal and paternal exposure

Author

Spry, Elizabeth, Wilson, CA, Middleton, M, Moreno-Betancur, M, Doyle, LW, Howard, LM, Hannan, AJ, Wlodek, ME, Cheong, JL, Hines, LA, Coffey, C, Brown, S, Olsson, Craig, Patton, GC, Spry, Elizabeth, Wilson, CA, Middleton, M, Moreno-Betancur, M, Doyle, LW, Howard, LM, Hannan, AJ, Wlodek, ME, Cheong, JL, Hines, LA, Coffey, C, Brown, S, Olsson, Craig, and Patton, GC

Published
2020

41. Self-harm in primary school-aged children: Prospective cohort study

Author

Wasserman, D, Borschmann, R, Mundy, LK, Canterford, L, Moreno-Betancur, M, Moran, PA, Allen, NB, Viner, RM, Degenhardt, L, Kosola, S, Fedyszyn, I, Patton, GC, Wasserman, D, Borschmann, R, Mundy, LK, Canterford, L, Moreno-Betancur, M, Moran, PA, Allen, NB, Viner, RM, Degenhardt, L, Kosola, S, Fedyszyn, I, and Patton, GC

Abstract

INTRODUCTION: No prospective studies have examined the prevalence, antecedents or concurrent characteristics associated with self-harm in non-treatment-seeking primary school-aged children. METHODS: In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8-9 years (wave 1) to 11-12 years (wave 4) on a range of health, social, educational and family measures. Past-year self-harm was assessed at wave 4. We estimated the prevalence of self-harm and used multivariable logistic regression to examine associations with concurrent and antecedent factors. RESULTS: 28 participants (3% of the 1059 with self-harm data; 18 girls [3%], 10 boys [2%]) reported self-harm at age 11-12 years. Antecedent (waves 1-3) predictors of self-harm were: persistent symptoms of depression (sex-age-socioeconomic status adjusted odds ratio [aOR]: 7.8; 95% confidence intervals [CI] 2.6 to 24) or anxiety (aOR: 5.1; 95%CI 2.1 to 12), frequent bullying victimisation (aOR: 24.6; 95%CI 3.8 to 158), and recent alcohol consumption (aOR: 2.9; 95%CI 1.2 to 7.1). Concurrent (wave 4) associations with self-harm were: having few friends (aOR: 8.7; 95%CI 3.2 to 24), poor emotional control (aOR: 4.2; 95%CI 1.9 to 9.6), antisocial behaviour (theft-aOR: 3.1; 95%CI 1.2 to 7.9; carrying a weapon-aOR: 6.9; 95%CI 3.1 to 15), and being in mid-puberty (aOR: 6.5; 95%CI 1.5 to 28) or late/post-puberty (aOR: 14.4; 95%CI 2.9 to 70). CONCLUSIONS: The focus of intervention efforts aimed at preventing and reducing adolescent self-harm should extend to primary school-aged children, with a focus on mental health and peer relationships during the pubertal transition.

Published
2020

43. Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

Author

Haagsma, JA, James, SL, Castle, CD, Dingels, Z, Fox, JT, Hamilton, EB, Liu, Z, Lucchesi, LR, Roberts, NLS, Sylte, DO, Adebayo, OM, Ahmadi, A, Ahmed, MB, Aichour, MTE, Alahdab, F, Alghnam, SA, Aljunid, SM, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Anjomshoa, M, Antonio, CAT, Appiah, SCY, Aremu, O, Arora, A, Asayesh, H, Assadi, R, Awasthi, A, Ayala Quintanilla, BP, Balalla, S, Banstola, A, Barker-Collo, SL, Baernighausen, TW, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Benjet, C, Bennett, DA, Bensenor, IM, Bhaumik, S, Bhutta, ZA, Bijani, A, Borges, G, Borschmann, R, Bose, D, Boufous, S, Brazinova, A, Rincon, JCC, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Choi, J-YJ, Christopher, DJ, Crowe, CS, Dalal, K, Daryani, A, Davitoiu, DV, Degenhardt, L, De Leo, D, De Neve, J-W, Deribe, K, Dessie, GA, deVeber, GA, Dharmaratne, SD, Linh, PD, Dolan, KA, Driscoll, TR, Dubey, M, El-Khatib, Z, Ellingsen, CL, Zaki, MES, Endries, AY, Eskandarieh, S, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Franklin, RC, Fukumoto, T, Gezae, KE, Gill, TK, Goulart, AC, Grada, A, Guo, Y, Gupta, R, Bidgoli, HH, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Henok, A, Hijar, M, Hole, MK, Rad, EH, Hossain, N, Hostiuc, S, Hu, G, Igumbor, EU, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ivers, RQ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, M, Jayatilleke, AU, Jha, RP, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kalani, R, Kasaeian, A, Kelbore, AG, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khan, EA, Khoja, AT, Kiadaliri, AA, Kim, Y-E, Kim, D, Kisa, A, Koyanagi, A, Defo, BK, Bicer, BK, Kumar, M, Lalloo, R, Lam, H, Lami, FH, Lansingh, VC, Leasher, JL, Li, S, Linn, S, Lunevicius, R, Machado, FR, Abd El Razek, HM, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Malik, MA, Malta, DC, Manda, A-L, Mansournia, MA, Massenburg, BB, Maulik, PK, Meheretu, HAA, Mehndiratta, MM, Melese, A, Mendoza, W, Mengesha, MM, Meretoja, TJ, Meretoja, A, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mezerji, NMG, Mohammadibakhsh, R, Mohammed, S, Molokhia, M, Monasta, L, Mondello, S, Montero-Zamora, PA, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Morawska, L, Moreno Velasquez, I, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Ndwandwe, DE, Negoi, I, Trang, HN, Son, HN, Long, HN, Huong, LTN, Ningrum, DNA, Nirayo, YL, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Oladimeji, O, Olagunju, AT, Olagunju, TO, Olivares, PR, Orpana, HM, Otstavnov, SS, Mahesh, PA, Pakhale, S, Park, E-K, Patton, GC, Pesudovs, K, Phillips, MR, Polinder, S, Prakash, S, Radfar, A, Rafay, A, Rafiei, A, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rai, RK, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Renzaho, AMN, Resnikoff, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Sabde, YD, Saddik, B, Salamati, P, Salimi, Y, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Milicevic, MMS, Satpathy, M, Sawhney, M, Sawyer, SM, Saxena, S, Saylan, M, Schneider, IJC, Schwebel, DC, Seedat, S, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sheikh, A, Shen, J, Shigematsu, M, Shiri, R, Shiue, I, Silva, JP, Singh, JA, Sinha, DN, Soares Filho, AM, Soriano, JB, Soshnikov, S, Soyiri, IN, Starodubov, V, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunshine, JE, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Tessema, GA, Thakur, JS, Khanh, BT, Bach, XT, Car, LT, Uthman, OA, Uzochukwu, BSC, Valdez, PR, Varavikova, E, Nogales Vasconcelos, AM, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wijeratne, T, Winkler, AS, Yadav, P, Yano, Y, Yenesew, MA, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yu, C, Zafar, S, Zaidi, Z, Bin Zaman, S, Zamani, M, Zhao, Y, Zodpey, S, Hay, S, Lopez, AD, Mokdad, AH, Vos, T, Haagsma, JA, James, SL, Castle, CD, Dingels, Z, Fox, JT, Hamilton, EB, Liu, Z, Lucchesi, LR, Roberts, NLS, Sylte, DO, Adebayo, OM, Ahmadi, A, Ahmed, MB, Aichour, MTE, Alahdab, F, Alghnam, SA, Aljunid, SM, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Anjomshoa, M, Antonio, CAT, Appiah, SCY, Aremu, O, Arora, A, Asayesh, H, Assadi, R, Awasthi, A, Ayala Quintanilla, BP, Balalla, S, Banstola, A, Barker-Collo, SL, Baernighausen, TW, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Benjet, C, Bennett, DA, Bensenor, IM, Bhaumik, S, Bhutta, ZA, Bijani, A, Borges, G, Borschmann, R, Bose, D, Boufous, S, Brazinova, A, Rincon, JCC, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Choi, J-YJ, Christopher, DJ, Crowe, CS, Dalal, K, Daryani, A, Davitoiu, DV, Degenhardt, L, De Leo, D, De Neve, J-W, Deribe, K, Dessie, GA, deVeber, GA, Dharmaratne, SD, Linh, PD, Dolan, KA, Driscoll, TR, Dubey, M, El-Khatib, Z, Ellingsen, CL, Zaki, MES, Endries, AY, Eskandarieh, S, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Franklin, RC, Fukumoto, T, Gezae, KE, Gill, TK, Goulart, AC, Grada, A, Guo, Y, Gupta, R, Bidgoli, HH, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Henok, A, Hijar, M, Hole, MK, Rad, EH, Hossain, N, Hostiuc, S, Hu, G, Igumbor, EU, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ivers, RQ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, M, Jayatilleke, AU, Jha, RP, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kalani, R, Kasaeian, A, Kelbore, AG, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khan, EA, Khoja, AT, Kiadaliri, AA, Kim, Y-E, Kim, D, Kisa, A, Koyanagi, A, Defo, BK, Bicer, BK, Kumar, M, Lalloo, R, Lam, H, Lami, FH, Lansingh, VC, Leasher, JL, Li, S, Linn, S, Lunevicius, R, Machado, FR, Abd El Razek, HM, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Malik, MA, Malta, DC, Manda, A-L, Mansournia, MA, Massenburg, BB, Maulik, PK, Meheretu, HAA, Mehndiratta, MM, Melese, A, Mendoza, W, Mengesha, MM, Meretoja, TJ, Meretoja, A, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mezerji, NMG, Mohammadibakhsh, R, Mohammed, S, Molokhia, M, Monasta, L, Mondello, S, Montero-Zamora, PA, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Morawska, L, Moreno Velasquez, I, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Ndwandwe, DE, Negoi, I, Trang, HN, Son, HN, Long, HN, Huong, LTN, Ningrum, DNA, Nirayo, YL, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Oladimeji, O, Olagunju, AT, Olagunju, TO, Olivares, PR, Orpana, HM, Otstavnov, SS, Mahesh, PA, Pakhale, S, Park, E-K, Patton, GC, Pesudovs, K, Phillips, MR, Polinder, S, Prakash, S, Radfar, A, Rafay, A, Rafiei, A, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rai, RK, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Renzaho, AMN, Resnikoff, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Sabde, YD, Saddik, B, Salamati, P, Salimi, Y, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Milicevic, MMS, Satpathy, M, Sawhney, M, Sawyer, SM, Saxena, S, Saylan, M, Schneider, IJC, Schwebel, DC, Seedat, S, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sheikh, A, Shen, J, Shigematsu, M, Shiri, R, Shiue, I, Silva, JP, Singh, JA, Sinha, DN, Soares Filho, AM, Soriano, JB, Soshnikov, S, Soyiri, IN, Starodubov, V, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunshine, JE, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Tessema, GA, Thakur, JS, Khanh, BT, Bach, XT, Car, LT, Uthman, OA, Uzochukwu, BSC, Valdez, PR, Varavikova, E, Nogales Vasconcelos, AM, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wijeratne, T, Winkler, AS, Yadav, P, Yano, Y, Yenesew, MA, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yu, C, Zafar, S, Zaidi, Z, Bin Zaman, S, Zamani, M, Zhao, Y, Zodpey, S, Hay, S, Lopez, AD, Mokdad, AH, and Vos, T

Abstract

BACKGROUND: The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. METHODS: Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. RESULTS: For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. CONCLUSIONS: The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

Published
2020

44. The health of adolescents in detention: a global scoping review

Author

Borschmann, R, Junca, E, Carter, A, Willoughby, M, Hughes, N, Snow, K, Stockings, E, Hill, NTM, Hocking, J, Love, A, Patton, GC, Sawyer, SM, Fazel, S, Puljevic, C, Robinson, J, Kinner, SA, Borschmann, R, Junca, E, Carter, A, Willoughby, M, Hughes, N, Snow, K, Stockings, E, Hill, NTM, Hocking, J, Love, A, Patton, GC, Sawyer, SM, Fazel, S, Puljevic, C, Robinson, J, and Kinner, SA

Abstract

Adolescents detained within the criminal justice system are affected by complex health problems, health-risk behaviours, and high rates of premature death. We did a global synthesis of the evidence regarding the health of this population. We searched Embase, PsycINFO, Education Resources Information Center, PubMed, Web of Science, CINCH, Global Health, the Cochrane Database of Systematic Reviews, the Campbell Library, the National Criminal Justice Reference System Abstract database, and Google Scholar for peer-reviewed journal articles, including reviews, that reported the prevalence of at least one health outcome (physical, mental, sexual, infectious, and neurocognitive) in adolescents (aged <20 years) in detention, and were published between Jan 1, 1980, and June 30, 2018. The reference lists of published review articles were scrutinised for additional relevant publications. Two reviewers independently screened titles and abstracts, and three reviewed full texts of relevant articles. The protocol for this Review was registered with PROSPERO (CRD42016041392). 245 articles (204 primary research articles and 41 reviews) were included, with most primary research (183 [90%]) done in high-income countries. A high lifetime prevalence of health problems, risks, and conditions was reported in detained adolescents, including mental disorders (0–95%), substance use disorders (22–96%), selfharm (12–65%), neurodevelopmental disabilities (2–47%), infectious diseases (0–34%), and sexual and reproductive conditions (pregnant by age 19 years 20–37%; abnormal cervical screening test result 16%). Various physical and mental health problems and health-risk behaviours are more common among adolescents in detention than among their peers who have not been detained. As the social and structural drivers of poor health overlap somewhat with factors associated with exposure to the criminal justice system, strategies to address these factors could help to reduce both rates of adolescent det

Published
2020

46. Electronic media use and academic performance in late childhood: A longitudinal study

Author

Taheri, S, Mundy, LK, Canterford, L, Hoq, M, Olds, T, Moreno-Betancur, M, Sawyer, S, Kosola, S, Patton, GC, Taheri, S, Mundy, LK, Canterford, L, Hoq, M, Olds, T, Moreno-Betancur, M, Sawyer, S, Kosola, S, and Patton, GC

Abstract

INTRODUCTION: The effects of electronic media use on health has received much attention but less is known about links with academic performance. This study prospectively examines the effect of media use on academic performance in late childhood. MATERIALS AND METHODS: 1239 8- to 9-year-olds and their parents were recruited to take part in a prospective, longitudinal study. Academic performance was measured on a national achievement test at baseline and 10-11 years of age. Parents reported on their child's duration of electronic media use. RESULTS: After control for baseline reading, watching more than two hours of television per day at 8-9 years of age predicted a 12-point lower performance in reading at 10-11 years, equivalent to the loss of a third of a year in learning. Using a computer for more than one hour a day predicted a similar 12-point lower numeracy performance. Regarding cross-sectional associations (presumed to capture short-term effects) of media use on numeracy, after controlling for prior media exposure, watching more than two hours of television per day at 10-11 years was concurrently associated with a 12-point lower numeracy score and using a computer for more than one hour per day with a 13-point lower numeracy performance. There was little evidence for concurrent effects on reading. There was no evidence of short- or long-term associations between videogame use and academic performance. DISCUSSION: Cumulative television use is associated with poor reading and cumulative computer use with poorer numeracy. Beyond any links between heavy media use and health risks such as obesity, physical activity and mental health, these findings raise a possibility of additional risks of both television and computer use for learning in mid-childhood. These findings carry implications for parents, teachers and clinicians to consider the type and timing of media exposure in developing media plans for children.

Published
2020

47. Understanding mental health and its determinants from the perspective of adolescents: A qualitative study across diverse social settings in Indonesia

Author

Willenberg, L, Wulan, N, Medise, BE, Devaera, Y, Riyanti, A, Ansariadi, A, Wiguna, T, Kaligis, F, Fisher, J, Luchters, S, Jameel, A, Sawyer, SM, Thach, T, Kennedy, E, Patton, GC, Wiweko, B, Azzopardi, PS, Willenberg, L, Wulan, N, Medise, BE, Devaera, Y, Riyanti, A, Ansariadi, A, Wiguna, T, Kaligis, F, Fisher, J, Luchters, S, Jameel, A, Sawyer, SM, Thach, T, Kennedy, E, Patton, GC, Wiweko, B, and Azzopardi, PS

Abstract

Poor mental health is a leading contributor to the burden of disease experienced by adolescents, including in resource constrained settings. However, little is known about how adolescents in these countries conceptualise mental health and its determinants which is essential to informing effective responses. This study aimed to explore how adolescents in Indonesia (a populous and rapidly developing country) conceptualise mental health and what they identify as important determinants. Eight focus group discussions (FGDs) were conducted with 86 Indonesian adolescents (aged 16-18 years), sampled from schools and community settings from Jakarta and South Sulawesi. FGDs were recorded, transcribed, translated and thematically analysed. Mental health was recognised as a significant concern by adolescents in Indonesia. Good mental health was conceptualised as emotional wellbeing and happiness. By contrast, poor mental health was predominantly described in terms of substantial mental illness manifesting as behavioural and physical disturbance. Further, poor mental health only happened to 'other' people, with stigmatising views prevalent. Absent from the discussions were common symptoms of poor mental health (stress, loneliness, poor sleep) and common mental disorders (e.g. depression, anxiety) or a conceptualisation that reflected poor mental health to be a normal human experience. Discussions around determinants of poor mental health suggested that family connections (particularly with parents), school pressures, and adverse exposures on social media were important drivers of poor mental health, with religion also surfacing as an important determinant. In highlighting mental health as an important issue for Indonesian adolescents, this study provides a foundation for targeted responses.

Published
2020

48. Chinese trends in adolescent marriage and fertility between 1990 and 2015: a systematic synthesis of national and subnational population data

Author

Luo, D, Yan, X, Xu, R, Zhang, J, Shi, X, Ma, J, Song, Y, Patton, GC, Sawyer, SM, Luo, D, Yan, X, Xu, R, Zhang, J, Shi, X, Ma, J, Song, Y, Patton, GC, and Sawyer, SM

Abstract

BACKGROUND: Early marriage and fertility are major social determinants of health and wellbeing. Rapid shifts in the past three decades, including a rise in sexual activity in unmarried adolescents, a large population of young migrant workers, and a high proportion of males relative to females, have the potential to alter patterns of reproductive health in Chinese adolescents and young women. We aimed to establish long-term trends of marriage and fertility for girls and women aged 15-24 years in China. METHODS: We did a longitudinal study in which we extracted aggregated data for marriage and childbearing status for Chinese girls and women aged 15-24 years from the Chinese National Population Census (in 1990, 2000, and 2010) and the Chinese 1% National Population Sample Survey (in 1995, 2005, and 2015). The census included all individuals with Chinese nationality who resided in China when the survey was done. For the 1% sample survey, communities or villages were randomly selected and all residents with Chinese nationality in the selected communities or villages were included. In all censuses and sample surveys, forms that included information on basic demographic characteristics, education, marriage, and fertility were completed and verified by the census enumerators at the household residence, based on responses provided by the householder or another adult in the household. We calculated the ever-married rate and age-specific fertility rate (ASFR) for all included individuals. We built multivariate random-effects generalised least squares regression models on panel data to test whether marriage or fertility rate was associated with education level, sex ratio, and the proportion of the population who are an ethnic minority in a province. FINDINGS: The ever-married rate for those aged 15-19 years decreased from 4·7% in 1990 to 1·2% (95% CI 1·2-1·3) in 2000, but rebounded to 2·4% (2·4-2·5) in 2015. The ASFR for this age group decreased from 22·0 births per 1000 indivi

Published
2020

49. Delinquency, School Context, and Risk Factors in India, Australia, and the United States: Implications for Prevention

Author

Parks, MJ, Solomon, RJ, Solomon, S, Rowland, BC, Hemphill, SA, Patton, GC, Toumbourou, JW, Parks, MJ, Solomon, RJ, Solomon, S, Rowland, BC, Hemphill, SA, Patton, GC, and Toumbourou, JW

Abstract

There is a dearth of research on delinquency, school context, and risk factors across developed and developing nations. Using representative samples and matched surveys, we examined delinquency among cohorts in Mumbai, India (N = 3,717); Victoria, Australia (N = 1,842); and Washington State (WA), United States (N = 1,828). We used multivariate Poisson hierarchical linear modeling. Risk factor and delinquency levels varied across sites. Delinquency clustered within certain schools, particularly in Mumbai. Community disorganization exhibited an association with delinquency as a school-level context effect in Mumbai and Victoria. Peer delinquency, sensation seeking, and poor family management exhibited cross-nationally consistent associations with delinquency. Programs that target schools, the clustering of problem behaviors, and cross-nationally consistent risk factors should be considered internationally.

Published
2020

50. Mapping child growth failure across low- and middle-income countries

Author

Kinyoki, DK, Osgood-Zimmerman, AE, Pickering, BV, Schaeffer, LE, Marczak, LB, Lazzar-Atwood, A, Collison, ML, Henry, NJ, Abebe, Z, Adamu, AA, Adekanmbi, V, Ahmadi, K, Ajumobi, O, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amini, S, Andrei, CL, Antonio, CAT, Arabloo, J, Aremu, O, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Avila, M, Awasthi, A, Quintanilla, BPA, Azari, S, Badawi, A, Barnighausen, TW, Bassat, Q, Baye, K, Bedi, N, Bekele, BB, Bell, ML, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Biadgo, B, Bikbov, B, Briko, AN, Britton, G, Burstein, R, Butt, ZA, Car, J, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chipeta, MG, Chu, D-T, Cork, MA, Cromwell, EA, Cuevas-Nasu, L, Dandona, L, Dandona, R, Daoud, F, Das Gupta, R, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Diaz, D, Dinberu, MT, Doku, DT, Dubey, M, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, El-Khatib, Z, Eshrati, B, Fareed, M, Faro, A, Fereshtehnejad, S-M, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Fukumoto, T, Gebrehiwot, TT, Gezae, KE, Ghajar, A, Gill, PS, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Haj-Mirzaian, A, Hall, JB, Hamidi, S, Henok, A, Prado, BH, Herrero, M, Herteliu, C, Hoang, CL, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Islam, SMS, Jakovljevic, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Kahsay, A, Kanchan, T, Karami, M, Kasaeian, A, Khader, YS, Khan, EA, Khater, MM, Kim, YJ, Kimokoti, RW, Kisa, A, Kochhar, S, Kosen, S, Koyanagi, A, Krishan, K, Defo, BK, Kumar, GA, Kumar, M, Lad, SD, Lami, FH, Lee, PH, Levine, AJ, Li, S, Linn, S, Lodha, R, Abd El Razek, HM, Abd El Razek, MM, Majdan, M, Majeed, A, Malekzadeh, R, Malta, DC, Mamun, AA, Mansournia, MA, Martins-Melo, FR, Masaka, A, Massenburg, BB, Mayala, BK, Mejia-Rodriguez, F, Melku, M, Mendoza, W, Mensah, GA, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Moodley, Y, Moradi, G, Moradi-Lakeh, M, Moraga, P, Morrison, SD, Mosser, JF, Mousavi, SM, Mueller, UO, Murray, CJL, Mustafa, G, Naderi, M, Naghavi, M, Najafi, F, Nangia, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, LH, Nguyen, SH, Nie, J, Nnaji, CA, Noubiap, JJ, Shiadeh, MN, Nyasulu, PS, Ogbo, FA, Olagunju, AT, Olusanya, BO, Olusanya, JO, Ortiz-Panozo, E, Otstavnov, SS, Mahesh, PA, Pana, A, Pandey, A, Pati, S, Patil, ST, Patton, GC, Perico, N, Pigott, DM, Pirsaheb, M, Piwoz, EG, Postma, MJ, Pourshams, A, Prakash, S, Quintana, H, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Rajati, F, Rawaf, DL, Rawaf, S, Rawat, R, Remuzzi, G, Renzaho, AMN, Rios-Gonzalez, C, Roever, L, Ross, JM, Rostami, A, Sadat, N, Safari, Y, Safdarian, M, Sahebkar, A, Salam, N, Salamati, P, Salimi, Y, Salimzadeh, H, Samy, AM, Sartorius, B, Sathian, B, Schipp, MF, Schwebel, DC, Senbeta, AM, Sepanlou, SG, Shaikh, MA, Levy, TS, Shamsi, M, Sharafi, K, Sharma, R, Sheikh, A, Shil, A, Silva, DAS, Singh, JA, Sinha, DN, Soofi, M, Sudaryanto, A, Sufiyan, MB, Tabares-Seisdedos, R, Tadesse, BT, Temsah, M-H, Terkawi, AS, Tessema, ZT, Thorne-Lyman, AL, Tovani-Palone, MR, Tran, BX, Tran, KB, Ullah, I, Uthman, OA, Vaezghasemi, M, Vaezi, A, Valdez, PR, Vanderheide, J, Veisani, Y, Violante, FS, Vlassov, V, Vu, GT, Vu, LG, Waheed, Y, Walson, JL, Wang, Y, Wang, Y-P, Wangia, EN, Werdecker, A, Xu, G, Yamada, T, Yisma, E, Yonemoto, N, Younis, MZ, Yousefifard, M, Yu, C, Bin Zaman, S, Zamani, M, Zhang, Y, Kassebaum, NJ, Hay, SI, Kinyoki, DK, Osgood-Zimmerman, AE, Pickering, BV, Schaeffer, LE, Marczak, LB, Lazzar-Atwood, A, Collison, ML, Henry, NJ, Abebe, Z, Adamu, AA, Adekanmbi, V, Ahmadi, K, Ajumobi, O, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amini, S, Andrei, CL, Antonio, CAT, Arabloo, J, Aremu, O, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Avila, M, Awasthi, A, Quintanilla, BPA, Azari, S, Badawi, A, Barnighausen, TW, Bassat, Q, Baye, K, Bedi, N, Bekele, BB, Bell, ML, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Biadgo, B, Bikbov, B, Briko, AN, Britton, G, Burstein, R, Butt, ZA, Car, J, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chipeta, MG, Chu, D-T, Cork, MA, Cromwell, EA, Cuevas-Nasu, L, Dandona, L, Dandona, R, Daoud, F, Das Gupta, R, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Diaz, D, Dinberu, MT, Doku, DT, Dubey, M, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, El-Khatib, Z, Eshrati, B, Fareed, M, Faro, A, Fereshtehnejad, S-M, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Fukumoto, T, Gebrehiwot, TT, Gezae, KE, Ghajar, A, Gill, PS, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Haj-Mirzaian, A, Hall, JB, Hamidi, S, Henok, A, Prado, BH, Herrero, M, Herteliu, C, Hoang, CL, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Islam, SMS, Jakovljevic, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Kahsay, A, Kanchan, T, Karami, M, Kasaeian, A, 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Yu, C, Bin Zaman, S, Zamani, M, Zhang, Y, Kassebaum, NJ, and Hay, SI

Abstract

Childhood malnutrition is associated with high morbidity and mortality globally1. Undernourished children are more likely to experience cognitive, physical, and metabolic developmental impairments that can lead to later cardiovascular disease, reduced intellectual ability and school attainment, and reduced economic productivity in adulthood2. Child growth failure (CGF), expressed as stunting, wasting, and underweight in children under five years of age (0-59 months), is a specific subset of undernutrition characterized by insufficient height or weight against age-specific growth reference standards3-5. The prevalence of stunting, wasting, or underweight in children under five is the proportion of children with a height-for-age, weight-for-height, or weight-for-age z-score, respectively, that is more than two standard deviations below the World Health Organization's median growth reference standards for a healthy population6. Subnational estimates of CGF report substantial heterogeneity within countries, but are available primarily at the first administrative level (for example, states or provinces)7; the uneven geographical distribution of CGF has motivated further calls for assessments that can match the local scale of many public health programmes8. Building from our previous work mapping CGF in Africa9, here we provide the first, to our knowledge, mapped high-spatial-resolution estimates of CGF indicators from 2000 to 2017 across 105 low- and middle-income countries (LMICs), where 99% of affected children live1, aggregated to policy-relevant first and second (for example, districts or counties) administrative-level units and national levels. Despite remarkable declines over the study period, many LMICs remain far from the ambitious World Health Organization Global Nutrition Targets to reduce stunting by 40% and wasting to less than 5% by 2025. Large disparities in prevalence and progress exist across and within countries; our maps identify high-prevalence areas e

Published
2020

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