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7. Context matters: using an Evidence to Decision (EtD) framework to develop and encourage uptake of opioid deprescribing guideline recommendations at the point-of-care

Author

Langford, Aili V., Bero, Lisa, Lin, Chung-Wei Christine, Blyth, Fiona M., Doctor, Jason N., Holliday, Simon, Jeon, Yun-Hee, Moullin, Joanna C., Murnion, Bridin, Nielsen, Suzanne, Penm, Jonathan, Reeve, Emily, Reid, Sharon, Wale, Janet, Osman, Rawa, Gnjidic, Danijela, and Schneider, Carl R.

Published
2024
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11. A grounded theory of successful Educational Psychology practice in Key Stage 4 Pupil Referral Units : a jointly constructed perspective

Author

Blyth, Fiona

Abstract

School exclusion rates in England have risen consistently in recent years, and Pupil Referral Units (PRUs) and other alternative provisions (APs) are often destinations for those excluded. Many of these young people have identified special educational needs and disabilities (SEND). Whilst there is a large body of research around school exclusion, and some specifically looking at 'good practice' in PRUs, very little research has looked at Educational Psychology (EP) practice in these provisions, and how Educational Psychologists (EPs) can be utilised most effectively. This is particularly relevant for Key Stage 4 (KS4), given the high levels of exclusion in this age group and consequently, the poor life outcomes associated with this cohort as they transition to adulthood. This study aimed to explore 'successful' EP practice in KS4 PRUs and to identify and explain the mechanisms and factors that can facilitate this. Taking a grounded theory approach (Charmaz, 2014) from a social constructionist perspective, five joint interviews were conducted with EPs and commissioners of EPs working in KS4 PRU settings. 12 participants (six EPs and six commissioners) from five London boroughs were included. Findings frame the EP-commissioner relationship as 'parents' who play a 'parental' role and function, impacting all other aspects of the system or 'family'. Relationships across the 'family' were fundamental for facilitating change through joint working, reflection and learning. The importance of shared values, goals, approaches and language were highlighted, such as strengths-based approaches, prioritising young people's involvement and agency, flexibly supporting needs, going above and beyond, taking a systemic approach and planning for positive futures. Literature relating to 'containment' (Bion, 1962b) in APs and ideas related to systems psychodynamics (Neumann, 1999) are discussed in relation to EP practice in PRUs.

Published
2021

13. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Author

Ferreira, Manuela L, de Luca, Katie, Haile, Lydia M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Ferreira, Paulo H, Blyth, Fiona M, Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony D, Collins, Gary S, Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E, Cruz, Jessica A, Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Azadnajafabad, Sina, Bärnighausen, Till Winfried, Barrero, Lope H, Barrow, Amadou, Barzegar, Akbar, Bearne, Lindsay M, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhandari, Bharti Bhandari, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Brazo-Sayavera, Javier, Briggs, Andrew M, Cao, Chao, Charalampous, Periklis, Chattu, Vijay Kumar, Cicuttini, Flavia M, Clarsen, Benjamin, Cuschieri, Sarah, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dehghan, Azizallah, Demie, Takele Gezahegn G, Denova-Gutiérrez, Edgar, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Diaz, Daniel, Didehdar, Mojtaba, Digesa, Lankamo Ena, Diress, Mengistie, Do, Hoa Thi, Doan, Linh Phuong, Ekholuenetale, Michael, Elhadi, Muhammed, Eskandarieh, Sharareh, Faghani, Shahriar, Fares, Jawad, Fatehizadeh, Ali, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Franklin, Richard Charles, Ganesan, Balasankar, Gemeda, Belete Negese Belete, Getachew, Motuma Erena, Ghashghaee, Ahmad, Gill, Tiffany K, Golechha, Mahaveer, Goleij, Pouya, Gupta, Bhawna, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hamal, Pawan Kumar, Hanif, Asif, Harlianto, Netanja I, Hasani, Hamidreza, Hay, Simon I, Hebert, Jeffrey J, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hlongwa, Mbuzeleni Mbuzeleni, Hosseini, Mohammad-Salar, Hsiao, Alexander Kevin, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Islam, Sheikh Mohammed Shariful, Janodia, Manthan Dilipkumar, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Kabito, Gebisa Guyasa, Kandel, Himal, Kaur, Rimple Jeet, Keshri, Vikash Ranjan, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Md Jobair, Khan, Moien AB, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Klugarová, Jitka, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Koyanagi, Ai, Kumar, G Anil, Kumar, Narinder, Lallukka, Tea, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Mahmoodpoor, Ata, Malagón-Rojas, Jeadran N, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malih, Narges, Mehndiratta, Man Mohan, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Mesregah, Mohamed Kamal, Miller, Ted R, Mirza-Aghazadeh-Attari, Mohammad, Mobarakabadi, Maryam, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammed, Shafiu, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Mostafavi, Ebrahim, Murray, Christopher J L, Nair, Tapas Sadasivan, Nazari, Javad, Nejadghaderi, Seyed Aria, Neupane, Subas, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nowroozi, Ali, Okati-Aliabad, Hassan, Omer, Emad, Oulhaj, Abderrahim, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pandey, Anamika, Park, Eun-Kee, Pawar, Shrikant, Pedersini, Paolo, Pereira, Jeevan, Peres, Mario F P, Petcu, Ionela-Roxana, Pourahmadi, Mohammadreza, Radfar, Amir, Rahimi-Dehgolan, Shahram, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahmani, Amir Masoud, Rajai, Nazanin, Rao, Chythra R, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Zahed, Roever, Leonardo, Ruela, Guilherme de Andrade, Saddik, Basema, Sahebkar, Amirhossein, Salehi, Sana, Sanmarchi, Francesco, Sepanlou, Sadaf G, Shahabi, Saeed, Shahrokhi, Shayan, Shaker, Elaheh, Shamsi, MohammadBagher, Shannawaz, Mohammed, Sharma, Saurab, Shaygan, Maryam, Sheikhi, Rahim Ali, Shetty, Jeevan K, Shiri, Rahman, Shivalli, Siddharudha, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Ambrish, Singh, Jasvinder A, Slater, Helen, Solmi, Marco, Somayaji, Ranjani, Tan, Ker-Kan, Thapar, Rekha, Tohidast, Seyed Abolfazl, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vo, Bay, Wang, Yuan-Pang, Wiangkham, Taweewat, Yadav, Lalit, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yonemoto, Naohiro, Younis, Mustafa Z, Zare, Iman, Zarrintan, Armin, Zoladl, Mohammad, Vos, Theo, and March, Lyn M

Published
2023
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17. Making Meaning from Experience: Collaborative Assessment with Young Adults Who Have Mental Health Needs and Social Communication Differences

Author

Kennedy, Emma-Kate, Blyth, Fiona, Sakata, Ellie, Yahyaoui, Leila, Canagaratnam, Myooran, and Nijabat, Kiran

Abstract

Aims: As the number of people aged 16-25 referred to mental health services rises, the increasing complexity of their presenting needs is apparent. For those with additional communication and interaction differences, psychological assessment may be especially challenging. They often have long-standing histories of interpersonal challenge, do not find making relationships with others easy and can find conventional information-gathering assessments difficult and at times, even unhelpful. Method/rationale: Educational psychologists (EPs) can make a distinctive contribution in this area because of: (1) their knowledge of adolescent and young adult development; (2) their skills in relational connection in time-limited assessment contexts; and (3) the value they place on person-centred approaches. This paper outlines one approach to psychological assessment that prioritises collaboration with clients aged 16-25 and emphasises understanding the meaning they make of their subjective experience of the world. Findings/implications: The use of projective techniques, where a free-flowing response to a stimulus was used as the basis of a dialogue with the client, is described in the broader context of collaborative assessment. Illustrative case studies that serve as the basis for reflection on experience are explored, with common themes identified. The benefits of the approach, especially in terms of supporting clients and for practitioner learning, are highlighted. Limitations: This approach, whilst facilitated by qualified and trainee EPs, has been developed in a specialist multidisciplinary clinical context. Challenges in using projective techniques as part of collaborative assessments, as well as capacity concerns as regards ongoing training and supervisory requirements, are examined. Conclusions: There are opportunities for the future development of EP practice in this area, as well as promising lines of practice-based research inquiry.

Published
2020

20. Using linked Census data to categorise the population by ethnicity and enhance understanding of ethnic inequalities in health in Australia

Author

Stanaway, Fiona, primary, Zhu, Lin, additional, McDonald, Bree, additional, Ravulo, Jioji, additional, Dickson, MIchelle, additional, Nassar, Natasha, additional, Yap, Mei Ling, additional, Jorm, Louisa, additional, Aitken, Sarah, additional, Kritharides, Leonard, additional, Wilson, Andrew, additional, Blyth, Fiona M., additional, Schneider, Carmen H, additional, Khalatbari-Soltani, Saman, additional, Hsu, Ben, additional, and Allen, Liz, additional

Published
2024
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23. Diet quality in an ethnically diverse population of older men in Australia

Author

Stanaway, Fiona F., Ribeiro, Rosilene V., Khalatbari-Soltani, Saman, Cvejic, Erin, Blyth, Fiona M., Naganathan, Vasi, and Handelsman, David J.

Subjects
Nutrition -- Product/Service Evaluations, Greeks -- Food and nutrition -- Health aspects, Italians -- Food and nutrition -- Health aspects, Aged men -- Food and nutrition -- Health aspects, Minority aged -- Food and nutrition -- Health aspects, Diet -- Evaluation, Food/cooking/nutrition, Health
Abstract

Background/objectives To compare the Australian Dietary Guideline Index (DGI-2013) and the Pyramid-based Mediterranean Diet Score (pyrMDS) as measures of diet quality in an ethnically diverse group of older men. Subjects/methods Seven hundred and ninety-four older men aged [greater than or equal to]75 participated in wave 3 (2012-2013) of the Concord Health and Ageing in Men Project. Dietary intake was assessed using a validated diet history questionnaire. Ethnicity was based on self-reported country of birth and categorised as Australian-born (418 men), Italian or Greek migrants (188), and other migrants (188). Incident cardiovascular outcomes until March 2018 were measured using the composite of major adverse cardiovascular events (MACE), which comprises all-cause mortality, acute myocardial infarction, congestive cardiac failure, coronary revascularisation and/or ischaemic stroke. Ability to predict incident cardiovascular outcomes and all-cause mortality were compared between standardised DGI-2013 pyrMDS scores by comparison of hazard ratios, discrimination (Harrell's C-statistic) and calibration (calibration plots). Results Italian and Greek migrant men had significantly lower DGI-2013 scores (91.7 vs. 93.9; p = 0.01) but significantly higher pyrMDS scores (8.8 vs. 8.2; p < 0.0001) than Australian-born men. In the whole sample (794 men), the pyrMDS was a better predictor of both MACE (age-adjusted HR = 0.84; 95% CI = 0.75-0.94 vs. HR = 0.92; 95% CI = 0.82-1.03 for DGI-2013) and all-cause mortality (age-adjusted HR = 0.69; 95% CI = 0.60-0.80 vs. HR = 0.86; 95% CI = 0.74-0.99). The pyrMDS also demonstrated superior discrimination for predicting all-cause mortality and superior calibration for MACE and all-cause mortality. Conclusions The DGI-2013 appears to underestimate diet quality in older Italian and Greek migrant men. The pyrMDS appears superior to the DGI-2013 for prediction of incident cardiovascular disease and mortality regardless of ethnic background., Author(s): Fiona F. Stanaway [sup.1] [sup.2] , Rosilene V. Ribeiro [sup.3] , Saman Khalatbari-Soltani [sup.1] [sup.2] , Erin Cvejic [sup.1] , Fiona M. Blyth [sup.1] [sup.2] , Vasi Naganathan [sup.4] [...]

Published
2021
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24. The association between multimorbidity and osteoporosis investigation and treatment in high-risk fracture patients in Australia: A prospective cohort study

Author

Bliuc, Dana, Tran, Thach, Chen, Weiwen, Alarkawi, Dunia, Alajlouni, Dima A., Blyth, Fiona, March, Lyn, Ensrud, Kristine E., Blank, Robert D., and Center, Jacqueline R.

Subjects
Osteoporosis -- Complications and side effects -- Care and treatment, Comorbidity -- Risk factors -- Demographic aspects, Fractures -- Risk factors -- Demographic aspects, Biological sciences
Abstract

Background Multimorbidity is common among fracture patients. However, its association with osteoporosis investigation and treatment to prevent future fractures is unclear. This limited knowledge impedes optimal patient care. This study investigated the association between multimorbidity and osteoporosis investigation and treatment in persons at high risk following an osteoporotic fracture. Methods and findings The Sax Institute's 45 and Up Study is a prospective population-based cohort of 267,153 people in New South Wales, Australia, recruited between 2005 and 2009. This analysis followed up participants until 2017 for a median of 6 years (IQR: 4 to 8). Questionnaire data were linked to hospital admissions (Admitted Patients Data Collection (APDC)), emergency presentations (Emergency Department Data Collection (EDDC)), Pharmaceutical Benefits Scheme (PBS), and Medicare Benefits Schedule (MBS). Data were linked by the Centre for Health Record Linkage and stored in a secured computing environment. Fractures were identified from APDC and EDDC, Charlson Comorbidity Index (CCI) from APDC, Dual-energy X-ray absorptiometry (DXA) investigation from MBS, and osteoporosis treatment from PBS. Out of 25,280 persons with index fracture, 10,540 were classified as high-risk based on 10-year Garvan Fracture Risk (age, sex, weight, prior fracture and falls) threshold [greater than or equal to]20%. The association of CCI with likelihood of investigation and treatment initiation was determined by logistic regression adjusted for education, socioeconomic and lifestyle factors). The high-risk females and males averaged 77 ± 10 and 86 ± 5 years, respectively; >40% had a CCI [greater than or equal to]2. Only 17% of females and 7% of males received a DXA referral, and 22% of females and 14% males received osteoporosis medication following fracture. A higher CCI was associated with a lower probability of being investigated [adjusted OR, females: 0.73 (95% CI, 0.61 to 0.87) and 0.43 (95% CI, 0.30 to 0.62); males: 0.47 (95% CI, 0.33 to 0.68) and 0.52 (0.31 to 0.85) for CCI: 2 to 3, and [greater than or equal to]4 versus 0 to 1, respectively] and of receiving osteoporosis medication [adjusted OR, females: 0.85 (95% CI, 0.74 to 0.98) and 0.78 (95% CI, 0.61 to 0.99); males: 0.75 (95% CI, 0.59 to 0.94) and 0.37 (95% CI, 0.23 to 0.53) for CCI: 2 to 3, and [greater than or equal to]4 versus 0 to 1, respectively]. The cohort is relatively healthy; therefore, the impact of multimorbidity on osteoporosis management may have been underestimated. Conclusions Multimorbidity contributed significantly to osteoporosis treatment gap. This suggests that fracture risk is either underestimated or underprioritized in the context of multimorbidity and highlights the need for extra vigilance and improved fracture care in this setting., Author(s): Dana Bliuc 1,2,*, Thach Tran 1,3, Weiwen Chen 1, Dunia Alarkawi 1,3, Dima A. Alajlouni 1,3, Fiona Blyth 4, Lyn March 5, Kristine E. Ensrud 6,7,8, Robert D. Blank [...]

Published
2023
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25. Cross-Sectional Associations between Nutrient Intake and Tooth Decay in Older Australian Men: The Concord Health and Ageing in Men Project.

Author

Milledge, Kate, Cumming, Robert G., Wright, Fredrick A.C., Naganathan, Vasi, Blyth, Fiona M., Le Couteur, David G., Waite, Louise M., Handelsman, David J., and Hirani, Vasant

Subjects
HIGH-carbohydrate diet, LOW-carbohydrate diet, LOW-fat diet, OLDER men, NUTRITIONAL status
Abstract

Poor nutrition is a risk factor for dental decay in younger people. However, except for sugar, it is unclear if this is true in older age groups. The aim of this study was to analyze the possible associations between overall dietary intake of nutrients and diet quality and the presence of dental decay in community-dwelling older men. A cross-sectional analysis of a longitudinal study with a standardized validated diet history assessment and comprehensive oral health examination in 520 community-dwelling men (mean age: 84 years) participating in the Concord Health and Ageing in Men Project. Nutrient reference values were used to determine if individual micronutrients and macronutrients were meeting recommendations. Acceptable macronutrient distribution ranges (AMDRs) were attained for fat and carbohydrate intakes and were incorporated into a dichotomous variable to determine if the participants were consuming a high fat-low carbohydrate diet. Diagnosis of coronal caries was based on visual criteria and inspection and was completed on each of the five coronal surfaces. Root surface caries was textual changes across four root surfaces. This diagnosis was used to categorize participants by the presence and severity of coronal and root caries. The adjusted logistic regression showed not meeting the recommended intakes for thiamin (odds ratio [OR]: 2.32 95% confidence interval [CI] 1.15–4.67), and zinc (OR: 3.33, 95% CI: 1.71–6.48) were associated with presence of severe root decay. Adjusted analysis also showed that participants who were outside the recommended AMDR for fat (OR: 0.61, 95% CI: 0.38–0.98) and those who consumed a high fat and low carbohydrate diet (OR: 0.56, 95% CI: 0.35–0.91) were less likely to have coronal tooth decay. Our study shows associations between micronutrients and macronutrients and coronal and root surface decay. Although this study cannot prescribe causality or be generalized to all older adults, diet has a possible association with dental decay in older men. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Oxycodone initiation in Australia (2014–2018): Sociodemographic factors and preceding health service use.

Author

Gillies, Malcolm B., Camacho, Ximena, Bharat, Chrianna, Buizen, Luke, Blyth, Fiona, Currow, David, Wilson, Andrew, Degenhardt, Louisa, Gisev, Natasa, and Pearson, Sallie‐Anne

Subjects
EMERGENCY room visits, SOCIODEMOGRAPHIC factors, OXYCODONE, MEDICAL care, HOSPITAL admission & discharge, OPIOIDS, NONOPIOID analgesics
Abstract

Aims: Oxycodone is the most commonly prescribed strong opioid in Australia. This study describes health service antecedents and sociodemographic factors associated with oxycodone initiation. Methods: Population‐based new user cohort study linking medicine dispensings, hospitalizations, emergency department visits, medical services and cancer notifications from New South Wales (NSW) for 2014–2018. New users had no dispensings of any opioid in the preceding year. We analysed health service use in the 5 days preceding initiation and proportion of people on treatment over 1 year and fitted an area‐based, multivariable initiation model with sociodemographic covariates. Results: Oxycodone accounted for 30% of opioid initiations. Annually, 3% of the NSW population initiated oxycodone, and 5–6% were prevalent users; the new user cohort comprised 830 963 people. Discharge from hospital (39.3%), therapeutic procedures (21.4%) and emergency department visits (19.7%) were common; a hospital admission for injury (6.0%) or a past‐year history of cancer (7.2%) were less common. At 1 year after initiation, 4.6% of people were using oxycodone. In the multivariable model, new use of oxycodone increased with age and was higher for people outside major cities, for example, an incidence rate ratio of 1.43 (95% confidence interval 1.36–1.51) for inner regional areas relative to major cities; there was no evidence of variation in rates of new use by social disadvantage. Conclusion: About half of new oxycodone use in NSW was preceded by a recent episode of hospital care or a therapeutic procedure. Higher rates of oxycodone initiation in rural and regional areas were not explained by sociodemographic factors. [ABSTRACT FROM AUTHOR]

Published
2024
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31. The association of dietary antioxidants and the inflammatory potential of the diet with poor physical function and disability in older Australian men: the Concord Health and Ageing in Men Project

Author

Wizgier, Daniela, primary, Meng, Ying, additional, Das, Arpita, additional, Naganathan, Vasi, additional, Blyth, Fiona, additional, Le Couteur, David G., additional, Handelsman, David J., additional, Waite, Louise M., additional, Ribeiro, Rosilene V., additional, Shivappa, Nitin, additional, Hébert, James R., additional, and Hirani, Vasant, additional

Published
2024
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42. Clinical Observation, Management and Function Of low back pain Relief Therapies (COMFORT): A cluster randomised controlled trial protocol

Author

Abdel Shaheed, Christina, primary, Ivers, Rowena, additional, Vizza, Lisa, additional, McLachlan, Andrew, additional, Kelly, Patrick J, additional, Blyth, Fiona, additional, Stanaway, Fiona, additional, Clare, Philip James, additional, Thompson, Rachel, additional, Lung, Thomas, additional, Degenhardt, Louisa, additional, Reid, Sharon, additional, Martin, Bradley, additional, Wright, Michael, additional, Osman, Rawa, additional, French, Simon, additional, McCaffery, Kirsten, additional, Campbell, Gabrielle, additional, Jenkins, Hazel, additional, Mathieson, Stephanie, additional, Boogs, Monika, additional, McMaugh, Jarrod, additional, Bennett, Carol, additional, and Maher, Christopher, additional

Published
2023
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46. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Author

Lozano, Rafael, Naghavi, Mohsen, Foreman, Kyle, Lim, Stephen, Shibuya, Kenji, Aboyans, Victor, Abraham, Jerry, Adair, Timothy, Aggarwal, Rakesh, Ahn, Stephanie, Alvarado, Miriam, Anderson, H, Anderson, Laurie, Andrews, Kathryn, Atkinson, Charles, Baddour, Larry, Barker-Collo, Suzanne, Bartels, David, Bell, Michelle, Benjamin, Emelia, Bennett, Derrick, Bhalla, Kavi, Bikbov, Boris, Bin Abdulhak, Aref, Birbeck, Gretchen, Blyth, Fiona, Bolliger, Ian, Boufous, Soufiane, Bucello, Chiara, Burch, Michael, Burney, Peter, Carapetis, Jonathan, Chen, Honglei, Chou, David, Chugh, Sumeet, Coffeng, Luc, Colan, Steven, Colquhoun, Samantha, Colson, K, Condon, John, Connor, Myles, Cooper, Leslie, Corriere, Matthew, Cortinovis, Monica, de Vaccaro, Karen, Couser, William, Cowie, Benjamin, Criqui, Michael, Cross, Marita, Dabhadkar, Kaustubh, Dahodwala, Nabila, De Leo, Diego, Degenhardt, Louisa, Delossantos, Allyne, Denenberg, Julie, Des Jarlais, Don, Dharmaratne, Samath, Dorsey, E, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Erwin, Patricia, Espindola, Patricia, Ezzati, Majid, Feigin, Valery, Flaxman, Abraham, Forouzanfar, Mohammad, Fowkes, Francis, Franklin, Richard, Fransen, Marlene, Freeman, Michael, Gabriel, Sherine, Gakidou, Emmanuela, Gaspari, Flavio, Gillum, Richard, Gonzalez-Medina, Diego, Halasa, Yara, Haring, Diana, Harrison, James, Havmoeller, Rasmus, Hay, Roderick, Hoen, Bruno, Hotez, Peter, Hoy, Damian, Jacobsen, Kathryn, James, Spencer, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Karthikeyan, Ganesan, Kassebaum, Nicholas, Keren, Andre, Khoo, Jon-Paul, Knowlton, Lisa, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Lipnick, Michael, Lipshultz, Steven, and Ohno, Summer

Subjects
Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Global Health, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mortality, Sex Factors, Young Adult
Abstract

BACKGROUND: Reliable and timely information on the leading causes of death in populations, and how these are changing, is a crucial input into health policy debates. In the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), we aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex. METHODS: We attempted to identify all available data on causes of death for 187 countries from 1980 to 2010 from vital registration, verbal autopsy, mortality surveillance, censuses, surveys, hospitals, police records, and mortuaries. We assessed data quality for completeness, diagnostic accuracy, missing data, stochastic variations, and probable causes of death. We applied six different modelling strategies to estimate cause-specific mortality trends depending on the strength of the data. For 133 causes and three special aggregates we used the Cause of Death Ensemble model (CODEm) approach, which uses four families of statistical models testing a large set of different models using different permutations of covariates. Model ensembles were developed from these component models. We assessed model performance with rigorous out-of-sample testing of prediction error and the validity of 95% UIs. For 13 causes with low observed numbers of deaths, we developed negative binomial models with plausible covariates. For 27 causes for which death is rare, we modelled the higher level cause in the cause hierarchy of the GBD 2010 and then allocated deaths across component causes proportionately, estimated from all available data in the database. For selected causes (African trypanosomiasis, congenital syphilis, whooping cough, measles, typhoid and parathyroid, leishmaniasis, acute hepatitis E, and HIV/AIDS), we used natural history models based on information on incidence, prevalence, and case-fatality. We separately estimated cause fractions by aetiology for diarrhoea, lower respiratory infections, and meningitis, as well as disaggregations by subcause for chronic kidney disease, maternal disorders, cirrhosis, and liver cancer. For deaths due to collective violence and natural disasters, we used mortality shock regressions. For every cause, we estimated 95% UIs that captured both parameter estimation uncertainty and uncertainty due to model specification where CODEm was used. We constrained cause-specific fractions within every age-sex group to sum to total mortality based on draws from the uncertainty distributions. FINDINGS: In 2010, there were 52·8 million deaths globally. At the most aggregate level, communicable, maternal, neonatal, and nutritional causes were 24·9% of deaths worldwide in 2010, down from 15·9 million (34·1%) of 46·5 million in 1990. This decrease was largely due to decreases in mortality from diarrhoeal disease (from 2·5 to 1·4 million), lower respiratory infections (from 3·4 to 2·8 million), neonatal disorders (from 3·1 to 2·2 million), measles (from 0·63 to 0·13 million), and tetanus (from 0·27 to 0·06 million). Deaths from HIV/AIDS increased from 0·30 million in 1990 to 1·5 million in 2010, reaching a peak of 1·7 million in 2006. Malaria mortality also rose by an estimated 19·9% since 1990 to 1·17 million deaths in 2010. Tuberculosis killed 1·2 million people in 2010. Deaths from non-communicable diseases rose by just under 8 million between 1990 and 2010, accounting for two of every three deaths (34·5 million) worldwide by 2010. 8 million people died from cancer in 2010, 38% more than two decades ago; of these, 1·5 million (19%) were from trachea, bronchus, and lung cancer. Ischaemic heart disease and stroke collectively killed 12·9 million people in 2010, or one in four deaths worldwide, compared with one in five in 1990; 1·3 million deaths were due to diabetes, twice as many as in 1990. The fraction of global deaths due to injuries (5·1 million deaths) was marginally higher in 2010 (9·6%) compared with two decades earlier (8·8%). This was driven by a 46% rise in deaths worldwide due to road traffic accidents (1·3 million in 2010) and a rise in deaths from falls. Ischaemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, lung cancer, and HIV/AIDS were the leading causes of death in 2010. Ischaemic heart disease, lower respiratory infections, stroke, diarrhoeal disease, malaria, and HIV/AIDS were the leading causes of years of life lost due to premature mortality (YLLs) in 2010, similar to what was estimated for 1990, except for HIV/AIDS and preterm birth complications. YLLs from lower respiratory infections and diarrhoea decreased by 45-54% since 1990; ischaemic heart disease and stroke YLLs increased by 17-28%. Regional variations in leading causes of death were substantial. Communicable, maternal, neonatal, and nutritional causes still accounted for 76% of premature mortality in sub-Saharan Africa in 2010. Age standardised death rates from some key disorders rose (HIV/AIDS, Alzheimers disease, diabetes mellitus, and chronic kidney disease in particular), but for most diseases, death rates fell in the past two decades; including major vascular diseases, COPD, most forms of cancer, liver cirrhosis, and maternal disorders. For other conditions, notably malaria, prostate cancer, and injuries, little change was noted. INTERPRETATION: Population growth, increased average age of the worlds population, and largely decreasing age-specific, sex-specific, and cause-specific death rates combine to drive a broad shift from communicable, maternal, neonatal, and nutritional causes towards non-communicable diseases. Nevertheless, communicable, maternal, neonatal, and nutritional causes remain the dominant causes of YLLs in sub-Saharan Africa. Overlaid on this general pattern of the epidemiological transition, marked regional variation exists in many causes, such as interpersonal violence, suicide, liver cancer, diabetes, cirrhosis, Chagas disease, African trypanosomiasis, melanoma, and others. Regional heterogeneity highlights the importance of sound epidemiological assessments of the causes of death on a regular basis. FUNDING: Bill & Melinda Gates Foundation.

Published
2012

47. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

Author

Lim, Stephen S, Vos, Theo, Flaxman, Abraham D, Danaei, Goodarz, Shibuya, Kenji, Adair-Rohani, Heather, AlMazroa, Mohammad A, Amann, Markus, Anderson, H Ross, Andrews, Kathryn G, Aryee, Martin, Atkinson, Charles, Bacchus, Loraine J, Bahalim, Adil N, Balakrishnan, Kalpana, Balmes, John, Barker-Collo, Suzanne, Baxter, Amanda, Bell, Michelle L, Blore, Jed D, Blyth, Fiona, Bonner, Carissa, Borges, Guilherme, Bourne, Rupert, Boussinesq, Michel, Brauer, Michael, Brooks, Peter, Bruce, Nigel G, Brunekreef, Bert, Bryan-Hancock, Claire, Bucello, Chiara, Buchbinder, Rachelle, Bull, Fiona, Burnett, Richard T, Byers, Tim E, Calabria, Bianca, Carapetis, Jonathan, Carnahan, Emily, Chafe, Zoe, Charlson, Fiona, Chen, Honglei, Chen, Jian Shen, Cheng, Andrew Tai-Ann, Child, Jennifer Christine, Cohen, Aaron, Colson, K Ellicott, Cowie, Benjamin C, Darby, Sarah, Darling, Susan, Davis, Adrian, Degenhardt, Louisa, Dentener, Frank, Jarlais, Don C Des, Devries, Karen, Dherani, Mukesh, Ding, Eric L, Dorsey, E Ray, Driscoll, Tim, Edmond, Karen, Ali, Suad Eltahir, Engell, Rebecca E, Erwin, Patricia J, Fahimi, Saman, Falder, Gail, Farzadfar, Farshad, Ferrari, Alize, Finucane, Mariel M, Flaxman, Seth, Fowkes, Francis Gerry R, Freedman, Greg, Freeman, Michael K, Gakidou, Emmanuela, Ghosh, Santu, Giovannucci, Edward, Gmel, Gerhard, Graham, Kathryn, Grainger, Rebecca, Grant, Bridget, Gunnell, David, Gutierrez, Hialy R, Hall, Wayne, Hoek, Hans W, Hogan, Anthony, Hosgood, H Dean, Hoy, Damian, Hu, Howard, Hubbell, Bryan J, Hutchings, Sally J, Ibeanusi, Sydney E, Jacklyn, Gemma L, Jasrasaria, Rashmi, Jonas, Jost B, Kan, Haidong, Kanis, John A, Kassebaum, Nicholas, Kawakami, Norito, Khang, Young-Ho, Khatibzadeh, Shahab, Khoo, Jon-Paul, and Kok, Cindy

Subjects
Tobacco Smoke and Health, Prevention, Tobacco, Burden of Illness, Nutrition, Pediatric, 2.2 Factors relating to the physical environment, 2.3 Psychological, social and economic factors, Aetiology, Respiratory, Cardiovascular, Good Health and Well Being, Clean Water and Sanitation, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Global Health, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mortality, Quality-Adjusted Life Years, Risk Assessment, Risk Factors, Sex Factors, Young Adult, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundQuantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time.MethodsWe estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010. We estimated exposure distributions for each year, region, sex, and age group, and relative risks per unit of exposure by systematically reviewing and synthesising published and unpublished data. We used these estimates, together with estimates of cause-specific deaths and DALYs from the Global Burden of Disease Study 2010, to calculate the burden attributable to each risk factor exposure compared with the theoretical-minimum-risk exposure. We incorporated uncertainty in disease burden, relative risks, and exposures into our estimates of attributable burden.FindingsIn 2010, the three leading risk factors for global disease burden were high blood pressure (7·0% [95% uncertainty interval 6·2-7·7] of global DALYs), tobacco smoking including second-hand smoke (6·3% [5·5-7·0]), and alcohol use (5·5% [5·0-5·9]). In 1990, the leading risks were childhood underweight (7·9% [6·8-9·4]), household air pollution from solid fuels (HAP; 7·0% [5·6-8·3]), and tobacco smoking including second-hand smoke (6·1% [5·4-6·8]). Dietary risk factors and physical inactivity collectively accounted for 10·0% (95% UI 9·2-10·8) of global DALYs in 2010, with the most prominent dietary risks being diets low in fruits and those high in sodium. Several risks that primarily affect childhood communicable diseases, including unimproved water and sanitation and childhood micronutrient deficiencies, fell in rank between 1990 and 2010, with unimproved water and sanitation accounting for 0·9% (0·4-1·6) of global DALYs in 2010. However, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued breastfeeding were the leading risks in 2010, while HAP was the leading risk in south Asia. The leading risk factor in Eastern Europe, most of Latin America, and southern sub-Saharan Africa in 2010 was alcohol use; in most of Asia, North Africa and Middle East, and central Europe it was high blood pressure. Despite declines, tobacco smoking including second-hand smoke remained the leading risk in high-income north America and western Europe. High body-mass index has increased globally and it is the leading risk in Australasia and southern Latin America, and also ranks high in other high-income regions, North Africa and Middle East, and Oceania.InterpretationWorldwide, the contribution of different risk factors to disease burden has changed substantially, with a shift away from risks for communicable diseases in children towards those for non-communicable diseases in adults. These changes are related to the ageing population, decreased mortality among children younger than 5 years, changes in cause-of-death composition, and changes in risk factor exposures. New evidence has led to changes in the magnitude of key risks including unimproved water and sanitation, vitamin A and zinc deficiencies, and ambient particulate matter pollution. The extent to which the epidemiological shift has occurred and what the leading risks currently are varies greatly across regions. In much of sub-Saharan Africa, the leading risks are still those associated with poverty and those that affect children.FundingBill & Melinda Gates Foundation.

Published
2012

48. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

Author

Vos, Theo, Flaxman, Abraham D, Naghavi, Mohsen, Lozano, Rafael, Michaud, Catherine, Ezzati, Majid, Shibuya, Kenji, Salomon, Joshua A, Abdalla, Safa, Aboyans, Victor, Abraham, Jerry, Ackerman, Ilana, Aggarwal, Rakesh, Ahn, Stephanie Y, Ali, Mohammed K, AlMazroa, Mohammad A, Alvarado, Miriam, Anderson, H Ross, Anderson, Laurie M, Andrews, Kathryn G, Atkinson, Charles, Baddour, Larry M, Bahalim, Adil N, Barker-Collo, Suzanne, Barrero, Lope H, Bartels, David H, Basáñez, Maria-Gloria, Baxter, Amanda, Bell, Michelle L, Benjamin, Emelia J, Bennett, Derrick, Bernabé, Eduardo, Bhalla, Kavi, Bhandari, Bishal, Bikbov, Boris, Bin Abdulhak, Aref, Birbeck, Gretchen, Black, James A, Blencowe, Hannah, Blore, Jed D, Blyth, Fiona, Bolliger, Ian, Bonaventure, Audrey, Boufous, Soufiane, Bourne, Rupert, Boussinesq, Michel, Braithwaite, Tasanee, Brayne, Carol, Bridgett, Lisa, Brooker, Simon, Brooks, Peter, Brugha, Traolach S, Bryan-Hancock, Claire, Bucello, Chiara, Buchbinder, Rachelle, Buckle, Geoffrey, Budke, Christine M, Burch, Michael, Burney, Peter, Burstein, Roy, Calabria, Bianca, Campbell, Benjamin, Canter, Charles E, Carabin, Hélène, Carapetis, Jonathan, Carmona, Loreto, Cella, Claudia, Charlson, Fiona, Chen, Honglei, Cheng, Andrew Tai-Ann, Chou, David, Chugh, Sumeet S, Coffeng, Luc E, Colan, Steven D, Colquhoun, Samantha, Colson, K Ellicott, Condon, John, Connor, Myles D, Cooper, Leslie T, Corriere, Matthew, Cortinovis, Monica, de Vaccaro, Karen Courville, Couser, William, Cowie, Benjamin C, Criqui, Michael H, Cross, Marita, Dabhadkar, Kaustubh C, Dahiya, Manu, Dahodwala, Nabila, Damsere-Derry, James, Danaei, Goodarz, Davis, Adrian, De Leo, Diego, Degenhardt, Louisa, Dellavalle, Robert, Delossantos, Allyne, Denenberg, Julie, Derrett, Sarah, Jarlais, Don C Des, and Dharmaratne, Samath D

Subjects
Epidemiology, Biomedical and Clinical Sciences, Public Health, Health Sciences, Pain Research, Mental Health, Infectious Diseases, Prevention, Rare Diseases, Aetiology, 2.2 Factors relating to the physical environment, 2.4 Surveillance and distribution, Good Health and Well Being, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Global Health, Health Status, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Prevalence, Quality-Adjusted Life Years, Sex Factors, Wounds and Injuries, Young Adult, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundNon-fatal health outcomes from diseases and injuries are a crucial consideration in the promotion and monitoring of individual and population health. The Global Burden of Disease (GBD) studies done in 1990 and 2000 have been the only studies to quantify non-fatal health outcomes across an exhaustive set of disorders at the global and regional level. Neither effort quantified uncertainty in prevalence or years lived with disability (YLDs).MethodsOf the 291 diseases and injuries in the GBD cause list, 289 cause disability. For 1160 sequelae of the 289 diseases and injuries, we undertook a systematic analysis of prevalence, incidence, remission, duration, and excess mortality. Sources included published studies, case notification, population-based cancer registries, other disease registries, antenatal clinic serosurveillance, hospital discharge data, ambulatory care data, household surveys, other surveys, and cohort studies. For most sequelae, we used a Bayesian meta-regression method, DisMod-MR, designed to address key limitations in descriptive epidemiological data, including missing data, inconsistency, and large methodological variation between data sources. For some disorders, we used natural history models, geospatial models, back-calculation models (models calculating incidence from population mortality rates and case fatality), or registration completeness models (models adjusting for incomplete registration with health-system access and other covariates). Disability weights for 220 unique health states were used to capture the severity of health loss. YLDs by cause at age, sex, country, and year levels were adjusted for comorbidity with simulation methods. We included uncertainty estimates at all stages of the analysis.FindingsGlobal prevalence for all ages combined in 2010 across the 1160 sequelae ranged from fewer than one case per 1 million people to 350,000 cases per 1 million people. Prevalence and severity of health loss were weakly correlated (correlation coefficient -0·37). In 2010, there were 777 million YLDs from all causes, up from 583 million in 1990. The main contributors to global YLDs were mental and behavioural disorders, musculoskeletal disorders, and diabetes or endocrine diseases. The leading specific causes of YLDs were much the same in 2010 as they were in 1990: low back pain, major depressive disorder, iron-deficiency anaemia, neck pain, chronic obstructive pulmonary disease, anxiety disorders, migraine, diabetes, and falls. Age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010. Regional patterns of the leading causes of YLDs were more similar compared with years of life lost due to premature mortality. Neglected tropical diseases, HIV/AIDS, tuberculosis, malaria, and anaemia were important causes of YLDs in sub-Saharan Africa.InterpretationRates of YLDs per 100,000 people have remained largely constant over time but rise steadily with age. Population growth and ageing have increased YLD numbers and crude rates over the past two decades. Prevalences of the most common causes of YLDs, such as mental and behavioural disorders and musculoskeletal disorders, have not decreased. Health systems will need to address the needs of the rising numbers of individuals with a range of disorders that largely cause disability but not mortality. Quantification of the burden of non-fatal health outcomes will be crucial to understand how well health systems are responding to these challenges. Effective and affordable strategies to deal with this rising burden are an urgent priority for health systems in most parts of the world.FundingBill & Melinda Gates Foundation.

Published
2012

49. Five-Year Trajectories of Prescription Opioid Use

Author

Gisev, Natasa, primary, Buizen, Luke, additional, Hopkins, Ria E., additional, Schaffer, Andrea L., additional, Daniels, Benjamin, additional, Bharat, Chrianna, additional, Dobbins, Timothy, additional, Larney, Sarah, additional, Blyth, Fiona, additional, Currow, David C., additional, Wilson, Andrew, additional, Pearson, Sallie-Anne, additional, and Degenhardt, Louisa, additional

Published
2023
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50. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bicer, Burcu Kucuk, Bienhoff, Kelly, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Blyth, Fiona M, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Bourne, Rupert R A, Brainin, Michael, Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul S, Britton, Gabrielle, Brugha, Traolach S, Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campos-Nonato, Ismael Ricardo, Carabin, Hélène, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Carvalho, Felix, Casey, Daniel, Castañeda-Orjuela, Carlos A, Castle, Chris D, Catalá-López, Ferrán, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Colombara, Danny, Cooper, Leslie Trumbull, Cooper, Cyrus, Cortesi, Paolo Angelo, Cortinovis, Monica, Criqui, Michael H, Cromwell, Elizabeth A, Cross, Marita, Crump, John A, Dadi, Abel Fekadu, Dalal, Koustuv, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dhillon, Preet K, Dicker, Daniel, Djalainia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dorsey, E Ray, dos Santos, Kadine Priscila Bender, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Echko, Michelle, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshetie, Setegn, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farag, Tamer, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Franklin, Richard C, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Goel, Kashish, Goenka, Shifalika, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gosselin, Richard A, Gotay, Carolyn C, Goto, Atsushi, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Rahul, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Harun, Kimani M, Harvey, James, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J, Hedayati, Mohammad T, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, Jassal, Simerjot K, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kar, Chittaranjan, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah T, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kumar, G Anil, Kumar, Pushpendra, Kyu, Hmwe H, Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Anders, Leasher, Janet L, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Liu, Patrick Y, Liu, Angela, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Lunevicius, Raimundas, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Hassan Magdy Abd, Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Manhertz, Treh, Mantovani, Lorenzo G, Mapoma, Chabila C, March, Lyn M, Marczak, Laurie B, Martinez-Raga, Jose, Martins, Paulo Henrique Viegas, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, McKee, Martin, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Muktar Sano Kedir, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, 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2017
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