28 results on '"Andrews, Kathryn G"'
Search Results
2. Financial Support to Medicaid-Eligible Mothers Increases Caregiving for Preterm Infants
- Author
-
Andrews, Kathryn G., Martin, Michelle W., Shenberger, Elyse, Pereira, Sunita, Fink, Günther, and McConnell, Margaret
- Subjects
Finance ,Care and treatment ,Economic aspects ,Social aspects ,Company financing ,Medicaid -- Social aspects -- Economic aspects ,Premature infants -- Care and treatment ,Child care -- Economic aspects -- Social aspects ,Mothers -- Finance -- Social aspects -- Economic aspects ,Infants (Premature) -- Care and treatment - Abstract
Author(s): Kathryn G. Andrews [sup.1] , Michelle W. Martin [sup.2] , Elyse Shenberger [sup.3] , Sunita Pereira [sup.4] , Günther Fink [sup.5] , Margaret McConnell [sup.1] [sup.6] Author Affiliations: (1) [...], Objectives To assess the impact of financial support on maternal caregiving activities for preterm infants. Methods We conducted a small randomized controlled trial (RCT) in two Massachusetts Neonatal Intensive Care Units (NICUs). We enrolled 46 Medicaid-eligible mothers of preterm infants between January 2017 and June 2018 and randomly assigned them to a treatment group (up to 3 weekly financial transfers of $200 each while their infant was in the hospital) or a control group. We collected hospital-record data while the infant was admitted. The primary outcome was a binary variable indicating skin-to-skin care (STSC) was provided during a hospital day. Secondary outcomes included daily maternal visitation, daily provision of breastmilk, neonatal growth and length of stay (LOS). Multilevel generalized linear models with random effects were used to estimate treatment effects on daily maternal behaviors and ordinary least squares models were used to estimate impacts on neonatal growth and LOS. Results We assigned 25 women to the intervention and 21 to the control and observed them over 703 days of their infants' hospitalization. Mothers who received financial support were more likely to provide STSC (adjusted risk ratio: 1.85; 95% confidence interval [CI] 1.31-2.62) and breastmilk (adjusted risk ratio: 1.36; 95% CI 1.06-1.75) while their infant was in the NICU. We see no statistically significant impact on neonatal growth outcomes or LOS, though estimated confidence intervals are imprecise. Conclusions Our evidence demonstrates the potential for financial support to increase mothers' engagement with caregiving behaviors for preterm infants during the NICU stay.
- Published
- 2020
- Full Text
- View/download PDF
3. Human resource challenges in health systems : evidence from 10 African countries
- Author
-
Sheffel, Ashley, Andrews, Kathryn G., Conner, Ruben, Di Giorgio, Laura, Evans, David K., Gatti, Roberta, Lindelow, Magnus, Sharma, Jigyasa, Svensson, Jakob, Wane, Waly, Welander Tärneberg, Anna, Sheffel, Ashley, Andrews, Kathryn G., Conner, Ruben, Di Giorgio, Laura, Evans, David K., Gatti, Roberta, Lindelow, Magnus, Sharma, Jigyasa, Svensson, Jakob, Wane, Waly, and Welander Tärneberg, Anna
- Abstract
Sub-Saharan Africa has fewer medical workers per capita than any region of the world, and that shortage has been highlighted consistently as a critical constraint to improving health outcomes in the region. This paper draws on newly available, systematic, comparable data from 10 countries in the region to explore the dimensions of this shortage. We find wide variation in human resources performance metrics, both within and across countries. Many facilities are barely staffed, and effective staffing levels fall further when adjusted for health worker absences. However, caseloads—while also varying widely within and across countries—are also low in many settings, suggesting that even within countries, deployment rather than shortages, together with barriers to demand, may be the principal challenges. Beyond raw numbers, we observe significant proportions of health workers with very low levels of clinical knowledge on standard maternal and child health conditions. This study highlights that countries may need to invest broadly in health workforce deployment, improvements in capacity and performance of the health workforce, and on addressing demand constraints, rather than focusing narrowly on increases in staffing numbers.
- Published
- 2024
- Full Text
- View/download PDF
4. 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
5. 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
6. Caregiving can be costly: A qualitative study of barriers and facilitators to conducting kangaroo mother care in a US tertiary hospital neonatal intensive care unit
- Author
-
Lewis, Todd P., Andrews, Kathryn G., Shenberger, Elyse, Betancourt, Theresa S., Fink, Günther, Pereira, Sunita, and McConnell, Margaret
- Published
- 2019
- Full Text
- View/download PDF
7. Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010 : a systematic analysis including 266 country-specific nutrition surveys
- Author
-
Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE), Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Fahimi, Saman, Lim, Stephen, Andrews, Kathryn G, Engell, Rebecca E, Powles, John, Ezzati, Majid, and Mozaffarian, Dariush
- Published
- 2014
8. 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 Y, AlMazroa, Mohammad A, Alvarado, Miriam, Anderson, H Ross, Anderson, Laurie M, Andrews, Kathryn G, Atkinson, Charles, Baddour, Larry M, Barker-Collo, Suzanne, Bartels, David H, Bell, Michelle L, Benjamin, Emelia J, Bennett, Derrick, Bhalla, Kavi, Bikbov, Boris, Abdulhak, Aref Bin, Birbeck, Gretchen, Blyth, Fiona, Bolliger, Ian, Boufous, Soufiane, Bucello, Chiara, Burch, Michael, Burney, Peter, Carapetis, Jonathan, Chen, Honglei, 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, Dahodwala, Nabila, De Leo, Diego, Degenhardt, Louisa, Delossantos, Allyne, Denenberg, Julie, Des Jarlais, Don C, Dharmaratne, Samath D, Dorsey, E Ray, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Erwin, Patricia J, Espindola, Patricia, Ezzati, Majid, Feigin, Valery, Flaxman, Abraham D, Forouzanfar, Mohammad H, Fowkes, Francis Gerry R, Franklin, Richard, Fransen, Marlene, Freeman, Michael K, Gabriel, Sherine E, Gakidou, Emmanuela, Gaspari, Flavio, Gillum, Richard F, Gonzalez-Medina, Diego, Halasa, Yara A, Haring, Diana, Harrison, James E, Havmoeller, Rasmus, Hay, Roderick J, Hoen, Bruno, Hotez, Peter J, Hoy, Damian, Jacobsen, Kathryn H, James, Spencer L, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Karthikeyan, Ganesan, Kassebaum, Nicholas, Keren, Andre, Khoo, Jon-Paul, Knowlton, Lisa Marie, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Lipnick, Michael, Lipshultz, Steven E, Ohno, Summer Lockett, Mabweijano, Jacqueline, MacIntyre, Michael F, Mallinger, Leslie, March, Lyn, Marks, Guy B, Marks, Robin, Matsumori, Akira, Matzopoulos, Richard, Mayosi, Bongani M, McAnulty, John H, McDermott, Mary M, McGrath, John, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Michaud, Catherine, Miller, Matthew, Miller, Ted R, Mock, Charles, Mocumbi, Ana Olga, Mokdad, Ali A, Moran, Andrew, Mulholland, Kim, Nair, M Nathan, Naldi, Luigi, Narayan, K M Venkat, Nasseri, Kiumarss, Norman, Paul, O'Donnell, Martin, Omer, Saad B, Ortblad, Katrina, Osborne, Richard, Ozgediz, Doruk, Pahari, Bishnu, Pandian, Jeyaraj Durai, Rivero, Andrea Panozo, Padilla, Rogelio Perez, Perez-Ruiz, Fernando, Perico, Norberto, Phillips, David, Pierce, Kelsey, Pope, C Arden, III, Porrini, Esteban, Pourmalek, Farshad, Raju, Murugesan, Ranganathan, Dharani, Rehm, Jürgen T, Rein, David B, Remuzzi, Guiseppe, Rivara, Frederick P, Roberts, Thomas, De León, Felipe Rodriguez, Rosenfeld, Lisa C, Rushton, Lesley, Sacco, Ralph L, Salomon, Joshua A, Sampson, Uchechukwu, Sanman, Ella, Schwebel, David C, Segui-Gomez, Maria, Shepard, Donald S, Singh, David, Singleton, Jessica, Sliwa, Karen, Smith, Emma, Steer, Andrew, Taylor, Jennifer A, Thomas, Bernadette, Tleyjeh, Imad M, Towbin, Jeffrey A, Truelsen, Thomas, Undurraga, Eduardo A, Venketasubramanian, N, Vijayakumar, Lakshmi, Vos, Theo, Wagner, Gregory R, Wang, Mengru, Wang, Wenzhi, Watt, Kerrianne, Weinstock, Martin A, Weintraub, Robert, Wilkinson, James D, Woolf, Anthony D, Wulf, Sarah, Yeh, Pon-Hsiu, Yip, Paul, Zabetian, Azadeh, Zheng, Zhi-Jie, Lopez, Alan D, and Murray, Christopher JL
- Published
- 2012
- Full Text
- View/download PDF
9. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
- Author
-
Murray, Christopher J L, Vos, Theo, Lozano, Rafael, Naghavi, Mohsen, Flaxman, Abraham D, 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, Abdulhak, Aref Bin, 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, Leo, Diego De, Degenhardt, Louisa, Dellavalle, Robert, Delossantos, Allyne, Denenberg, Julie, Derrett, Sarah, Des Jarlais, Don C, Dharmaratne, Samath D, Dherani, Mukesh, Diaz-Torne, Cesar, Dolk, Helen, Dorsey, E Ray, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Edmond, Karen, Elbaz, Alexis, Ali, Suad Eltahir, Erskine, Holly, Erwin, Patricia J, Espindola, Patricia, Ewoigbokhan, Stalin E, Farzadfar, Farshad, Feigin, Valery, Felson, David T, Ferrari, Alize, Ferri, Cleusa P, Fèvre, Eric M, Finucane, Mariel M, Flaxman, Seth, Flood, Louise, Foreman, Kyle, Forouzanfar, Mohammad H, Fowkes, Francis Gerry R, Fransen, Marlene, Freeman, Michael K, Gabbe, Belinda J, Gabriel, Sherine E, Gakidou, Emmanuela, Ganatra, Hammad A, Garcia, Bianca, Gaspari, Flavio, Gillum, Richard F, Gmel, Gerhard, Gonzalez-Medina, Diego, Gosselin, Richard, Grainger, Rebecca, Grant, Bridget, Groeger, Justina, Guillemin, Francis, Gunnell, David, Gupta, Ramyani, Haagsma, Juanita, Hagan, Holly, Halasa, Yara A, Hall, Wayne, Haring, Diana, Haro, Josep Maria, Harrison, James E, Havmoeller, Rasmus, Hay, Roderick J, Higashi, Hideki, Hill, Catherine, Hoen, Bruno, Hoffman, Howard, Hotez, Peter J, Hoy, Damian, Huang, John J, Ibeanusi, Sydney E, Jacobsen, Kathryn H, James, Spencer L, Jarvis, Deborah, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Jonas, Jost B, Karthikeyan, Ganesan, Kassebaum, Nicholas, Kawakami, Norito, Keren, Andre, Khoo, Jon-Paul, King, Charles H, Knowlton, Lisa Marie, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Laden, Francine, Lalloo, Ratilal, Laslett, Laura L, Lathlean, Tim, Leasher, Janet L, Lee, Yong Yi, Leigh, James, Levinson, Daphna, Lim, Stephen S, Limb, Elizabeth, Lin, John Kent, Lipnick, Michael, Lipshultz, Steven E, Liu, Wei, Loane, Maria, Ohno, Summer Lockett, Lyons, Ronan, Mabweijano, Jacqueline, MacIntyre, Michael F, Malekzadeh, Reza, Mallinger, Leslie, Manivannan, Sivabalan, Marcenes, Wagner, March, Lyn, Margolis, David J, Marks, Guy B, Marks, Robin, Matsumori, Akira, Matzopoulos, Richard, Mayosi, Bongani M, McAnulty, John H, McDermott, Mary M, McGill, Neil, McGrath, John, Medina-Mora, Maria Elena, Meltzer, Michele, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Meyer, Ana-Claire, Miglioli, Valeria, Miller, Matthew, Miller, Ted R, Mitchell, Philip B, Mock, Charles, Mocumbi, Ana Olga, Moffitt, Terrie E, Mokdad, Ali A, Monasta, Lorenzo, Montico, Marcella, Moradi-Lakeh, Maziar, Moran, Andrew, Morawska, Lidia, Mori, Rintaro, Murdoch, Michele E, Mwaniki, Michael K, Naidoo, Kovin, Nair, M Nathan, Naldi, Luigi, Narayan, K M Venkat, Nelson, Paul K, Nelson, Robert G, Nevitt, Michael C, Newton, Charles R, Nolte, Sandra, Norman, Paul, Norman, Rosana, O'Donnell, Martin, O'Hanlon, Simon, Olives, Casey, Omer, Saad B, Ortblad, Katrina, Osborne, Richard, Ozgediz, Doruk, Page, Andrew, Pahari, Bishnu, Pandian, Jeyaraj Durai, Rivero, Andrea Panozo, Patten, Scott B, Pearce, Neil, Padilla, Rogelio Perez, Perez-Ruiz, Fernando, Perico, Norberto, Pesudovs, Konrad, Phillips, David, Phillips, Michael R, Pierce, Kelsey, Pion, Sébastien, Polanczyk, Guilherme V, Polinder, Suzanne, Pope, C Arden, III, Popova, Svetlana, Porrini, Esteban, Pourmalek, Farshad, Prince, Martin, Pullan, Rachel L, Ramaiah, Kapa D, Ranganathan, Dharani, Razavi, Homie, Regan, Mathilda, Rehm, Jürgen T, Rein, David B, Remuzzi, Guiseppe, Richardson, Kathryn, Rivara, Frederick P, Roberts, Thomas, Robinson, Carolyn, De Leòn, Felipe Rodriguez, Ronfani, Luca, Room, Robin, Rosenfeld, Lisa C, Rushton, Lesley, Sacco, Ralph L, Saha, Sukanta, Sampson, Uchechukwu, Sanchez-Riera, Lidia, Sanman, Ella, Schwebel, David C, Scott, James Graham, Segui-Gomez, Maria, Shahraz, Saeid, Shepard, Donald S, Shin, Hwashin, Shivakoti, Rupak, Silberberg, Donald, Singh, David, Singh, Gitanjali M, Singh, Jasvinder A, Singleton, Jessica, Sleet, David A, Sliwa, Karen, Smith, Emma, Smith, Jennifer L, Stapelberg, Nicolas JC, Steer, Andrew, Steiner, Timothy, Stolk, Wilma A, Stovner, Lars Jacob, Sudfeld, Christopher, Syed, Sana, Tamburlini, Giorgio, Tavakkoli, Mohammad, Taylor, Hugh R, Taylor, Jennifer A, Taylor, William J, Thomas, Bernadette, Thomson, W Murray, Thurston, George D, Tleyjeh, Imad M, Tonelli, Marcello, Towbin, Jeffrey A, Truelsen, Thomas, Tsilimbaris, Miltiadis K, Ubeda, Clotilde, Undurraga, Eduardo A, van der Werf, Marieke J, van Os, Jim, Vavilala, Monica S, Venketasubramanian, N, Wang, Mengru, Wang, Wenzhi, Watt, Kerrianne, Weatherall, David J, Weinstock, Martin A, Weintraub, Robert, Weisskopf, Marc G, Weissman, Myrna M, White, Richard A, Whiteford, Harvey, Wiebe, Natasha, Wiersma, Steven T, Wilkinson, James D, Williams, Hywel C, Williams, Sean RM, Witt, Emma, Wolfe, Frederick, Woolf, Anthony D, Wulf, Sarah, Yeh, Pon-Hsiu, Zaidi, Anita KM, Zheng, Zhi-Jie, Zonies, David, and Lopez, Alan D
- Published
- 2012
- Full Text
- View/download PDF
10. Global malaria mortality between 1980 and 2010: a systematic analysis
- Author
-
Murray, Christopher JL, Rosenfeld, Lisa C, Lim, Stephen S, Andrews, Kathryn G, Foreman, Kyle J, Haring, Diana, Fullman, Nancy, Naghavi, Mohsen, Lozano, Rafael, and Lopez, Alan D
- Published
- 2012
- Full Text
- View/download PDF
11. Rethinking the Human Resource Crisis in Africa’s Health Systems: Evidence across Ten Countries
- Author
-
Sheffel, Ashley, primary, Andrews, Kathryn G., additional, Conner, Ruben, additional, Giorgio, Laura Di, additional, Evans, David K., additional, Gatti, Roberta, additional, Lindelow, Magnus, additional, Sharma, Jigyasa, additional, Svensson, Jakob, additional, Wane, Waly, additional, and Welander, Anna, additional
- Published
- 2022
- Full Text
- View/download PDF
12. Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys
- Author
-
Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Fahimi, Saman, Lim, Stephen, Andrews, Kathryn G, Engell, Rebecca E, Powles, John, Ezzati, Majid, and Mozaffarian, Dariush
- Published
- 2014
- Full Text
- View/download PDF
13. Overall and Sex-Specific Associations Between Fetal Adversity and Child Development at Age 1 Year: Evidence From Brazil
- Author
-
Fink, Günther, Andrews, Kathryn G., Brentani, Helena, Grisi, Sandra, Scoleze Ferrer, Ana Paula, Brentani, Alexandra, Fink, Günther, Andrews, Kathryn G., Brentani, Helena, Grisi, Sandra, Scoleze Ferrer, Ana Paula, and Brentani, Alexandra
- Abstract
A growing body of epigenetic research suggests that in-utero adaptations to environmental changes display important sex-specific variation. We tested this heterogeneous adaptation hypothesis using data from 900 children born at the University Hospital in São Paulo, Brazil, between October 2013 and April 2014. Crude and adjusting linear models were used to quantify the associations between prematurity, being small for gestational age, and children's physical and mental development at 12 months of age. Prematurity was negatively associated with neuropsychological development in final models (z score difference, −0.42, 95% confidence intervals: −0.71, −0.14), but associations did not vary significantly by sex. For being small for gestational age, associations with height-for-age, weight-for-age, and neuropsychological development were also negative, but they were systematically larger for male than for female infants (P < 0.05 for all). These results suggest that male fetuses may be more vulnerable to intrauterine adversity than female fetuses. Further research will be needed to better understand the mechanisms underlying these sex-specific associations.
- Published
- 2021
14. Harmonization of community health worker programs for HIV: A four-country qualitative study in Southern Africa
- Author
-
De Neve, Jan-Walter, Garrison-Desany, Henri, Andrews, Kathryn G., Sharara, Nour, Boudreaux, Chantelle, Gill, Roopan, Geldsetzer, Pascal, Vaikath, Maria, Bärnighausen, Till, and Bossert, Thomas J.
- Subjects
Practice ,Research ,HIV -- Case studies -- Research ,Wellness programs -- Research ,Community health aides -- Practice - Abstract
Author(s): Jan-Walter De Neve 1,2,*, Henri Garrison-Desany 3, Kathryn G. Andrews 2, Nour Sharara 4, Chantelle Boudreaux 2, Roopan Gill 5, Pascal Geldsetzer 2, Maria Vaikath 2, Till Bärnighausen 1,2,6, [...], Background Community health worker (CHW) programs are believed to be poorly coordinated, poorly integrated into national health systems, and lacking long-term support. Duplication of services, fragmentation, and resource limitations may have impeded the potential impact of CHWs for achieving HIV goals. This study assesses mediators of a more harmonized approach to implementing large-scale CHW programs for HIV in the context of complex health systems and multiple donors. Methods and findings We undertook four country case studies in Lesotho, Mozambique, South Africa, and Swaziland between August 2015 and May 2016. We conducted 60 semistructured interviews with donors, government officials, and expert observers involved in CHW programs delivering HIV services. Interviews were triangulated with published literature, country reports, national health plans, and policies. Data were analyzed based on 3 priority areas of harmonization (coordination, integration, and sustainability) and 5 components of a conceptual framework (the health issue, intervention, stakeholders, health system, and context) to assess facilitators and barriers to harmonization of CHW programs. CHWs supporting HIV programs were found to be highly fragmented and poorly integrated into national health systems. Stakeholders generally supported increasing harmonization, although they recognized several challenges and disadvantages to harmonization. Key facilitators to harmonization included (i) a large existing national CHW program and recognition of nongovernmental CHW programs, (ii) use of common incentives and training processes for CHWs, (iii) existence of an organizational structure dedicated to community health initiatives, and (iv) involvement of community leaders in decision-making. Key barriers included a wide range of stakeholders and lack of ownership and accountability of non-governmental CHW programs. Limitations of our study include subjectively selected case studies, our focus on decision-makers, and limited generalizability beyond the countries analyzed. Conclusion CHW programs for HIV in Southern Africa are fragmented, poorly integrated, and lack long-term support. We provide 5 policy recommendations to harmonize CHW programs in order to strengthen and sustain the role of CHWs in HIV service delivery.
- Published
- 2017
- Full Text
- View/download PDF
15. Risk Factors for Childhood Stunting in 137 Developing Countries: A Comparative Risk Assessment Analysis at Global, Regional, and Country Levels
- Author
-
Danaei, Goodarz, Andrews, Kathryn G., Sudfeld, Christopher R., Fink, Günther, McCoy, Dana Charles, Peet, Evan, Sania, Ayesha, Smith Fawzi, Mary C., Ezzati, Majid, and Fawzi, Wafaie W.
- Subjects
Control ,Analysis ,Research ,Risk factors ,Demographic aspects ,Health aspects ,Prevalence studies (Epidemiology) -- Analysis ,Health risk assessment -- Analysis ,Child malnutrition -- Research -- Demographic aspects -- Risk factors -- Control ,Developing countries -- Health aspects -- Research -- Comparative analysis - Abstract
Author(s): Goodarz Danaei 1,2,*, Kathryn G. Andrews 1, Christopher R. Sudfeld 1, Günther Fink 1, Dana Charles McCoy 3, Evan Peet 1,4, Ayesha Sania 1, Mary C. Smith Fawzi 5, [...], Background Stunting affects one-third of children under 5 y old in developing countries, and 14% of childhood deaths are attributable to it. A large number of risk factors for stunting have been identified in epidemiological studies. However, the relative contribution of these risk factors to stunting has not been examined across countries. We estimated the number of stunting cases among children aged 24-35 mo (i.e., at the end of the 1,000 days' period of vulnerability) that are attributable to 18 risk factors in 137 developing countries. Methods and Findings We classified risk factors into five clusters: maternal nutrition and infection, teenage motherhood and short birth intervals, fetal growth restriction (FGR) and preterm birth, child nutrition and infection, and environmental factors. We combined published estimates and individual-level data from population-based surveys to derive risk factor prevalence in each country in 2010 and identified the most recent meta-analysis or conducted de novo reviews to derive effect sizes. We estimated the prevalence of stunting and the number of stunting cases that were attributable to each risk factor and cluster of risk factors by country and region. The leading risk worldwide was FGR, defined as being term and small for gestational age, and 10.8 million cases (95% CI 9.1 million-12.6 million) of stunting (out of 44.1 million) were attributable to it, followed by unimproved sanitation, with 7.2 million (95% CI 6.3 million-8.2 million), and diarrhea with 5.8 million (95% CI 2.4 million-9.2 million). FGR and preterm birth was the leading risk factor cluster in all regions. Environmental risks had the second largest estimated impact on stunting globally and in the South Asia, sub-Saharan Africa, and East Asia and Pacific regions, whereas child nutrition and infection was the second leading cluster of risk factors in other regions. Although extensive, our analysis is limited to risk factors for which effect sizes and country-level exposure data were available. The global nature of the study required approximations (e.g., using exposures estimated among women of reproductive age as a proxy for maternal exposures, or estimating the impact of risk factors on stunting through a mediator rather than directly on stunting). Finally, as is standard in global risk factor analyses, we used the effect size of risk factors on stunting from meta-analyses of epidemiological studies and assumed that proportional effects were fairly similar across countries. Conclusions FGR and unimproved sanitation are the leading risk factors for stunting in developing countries. Reducing the burden of stunting requires a paradigm shift from interventions focusing solely on children and infants to those that reach mothers and families and improve their living environment and nutrition.
- Published
- 2016
- Full Text
- View/download PDF
16. Correction: Global, Regional, and National Consumption of Sugar-Sweetened Beverages, Fruit Juices, and Milk: A Systematic Assessment of Beverage Intake in 187 Countries
- Author
-
Singh, Gitanjali M., Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Lim, Stephen, Andrews, Kathryn G., Engell, Rebecca E., Ezzati, Majid, and Mozaffarian, Dariush
- Subjects
Adult ,Male ,Correction ,Bayes Theorem ,Feeding Behavior ,Middle Aged ,Global Health ,Nutrition Surveys ,Beverages ,Fruit and Vegetable Juices ,Young Adult ,Milk ,Sweetening Agents ,Dietary Carbohydrates ,Animals ,Humans ,Female ,Aged - Abstract
Sugar-sweetened beverages (SSBs), fruit juice, and milk are components of diet of major public health interest. To-date, assessment of their global distributions and health impacts has been limited by insufficient comparable and reliable data by country, age, and sex.To quantify global, regional, and national levels of SSB, fruit juice, and milk intake by age and sex in adults over age 20 in 2010.We identified, obtained, and assessed data on intakes of these beverages in adults, by age and sex, from 193 nationally- or subnationally-representative diet surveys worldwide, representing over half the world's population. We also extracted data relevant to milk, fruit juice, and SSB availability for 187 countries from annual food balance information collected by the United Nations Food and Agriculture Organization. We developed a hierarchical Bayesian model to account for measurement incomparability, study representativeness, and sampling and modeling uncertainty, and to combine and harmonize nationally representative dietary survey data and food availability data.In 2010, global average intakes were 0.58 (95%UI: 0.37, 0.89) 8 oz servings/day for SSBs, 0.16 (0.10, 0.26) for fruit juice, and 0.57 (0.39, 0.83) for milk. There was significant heterogeneity in consumption of each beverage by region and age. Intakes of SSB were highest in the Caribbean (1.9 servings/day; 1.2, 3.0); fruit juice consumption was highest in Australia and New Zealand (0.66; 0.35, 1.13); and milk intake was highest in Central Latin America and parts of Europe (1.06; 0.68, 1.59). Intakes of all three beverages were lowest in East Asia and Oceania. Globally and within regions, SSB consumption was highest in younger adults; fruit juice consumption showed little relation with age; and milk intakes were highest in older adults.Our analysis highlights the enormous spectrum of beverage intakes worldwide, by country, age, and sex. These data are valuable for highlighting gaps in dietary surveillance, determining the impacts of these beverages on global health, and targeting dietary policy.
- Published
- 2019
17. Lifetime economic impact of the burden of childhood stunting attributable to maternal psychosocial risk factors in 137 low/middle-income countries
- Author
-
Smith Fawzi, Mary C, primary, Andrews, Kathryn G, additional, Fink, Günther, additional, Danaei, Goodarz, additional, McCoy, Dana Charles, additional, Sudfeld, Christopher R, additional, Peet, Evan D, additional, Cho, Jeanne, additional, Liu, Yuanyuan, additional, Finlay, Jocelyn E, additional, Ezzati, Majid, additional, Kaaya, Sylvia F, additional, and Fawzi, Wafaie W, additional
- Published
- 2019
- Full Text
- View/download PDF
18. Overall and Sex-Specific Associations Between Fetal Adversity and Child Development at Age 1 Year: Evidence From Brazil
- Author
-
Fink, Günther, primary, Andrews, Kathryn G, additional, Brentani, Helena, additional, Grisi, Sandra, additional, Scoleze Ferrer, Ana Paula, additional, and Brentani, Alexandra, additional
- Published
- 2018
- Full Text
- View/download PDF
19. Impact of Nonoptimal Intakes of Saturated, Polyunsaturated, and Trans Fat on Global Burdens of Coronary Heart Disease
- Author
-
Wang, Qianyi, Afshin, Ashkan, Yakoob, Mohammad Yawar, Singh, Gitanjali M., Rehm, Colin D., Khatibzadeh, Shahab, Micha, Renata, Shi, Peilin, Mozaffarian, Dariush, Ezzati, Majid, Fahimi, Saman, Wirojratana, Pattra, Powles, John, Elmadfa, Ibrahim, Rao, Mayuree, Alpert, Warren, Lim, Stephen S., Engell, Rebecca E., Andrews, Kathryn G., Abbott, Pamela A., Abdollahi, Morteza, Abeyá Gilardon, Enrique O., Ahsan, Habibul, Al Nsour, Mohannad Abed Alfattah, Al-Hooti, Suad N., Arambepola, Carukshi, Fernando, Dulitha N., Barennes, Hubert, Barquera, Simon, Baylin, Ana, Becker, Wulf, Bjerregaard, Peter, Bourne, Lesley T., Capanzana, Mario V., Castetbon, Katia, Chang, Hsing Yi, Chen, Yu, Cowan, Melanie J., Riley, Leanne M., De Henauw, Stefaan, Ding, Eric L., Duante, Charmaine A., Duran, Pablo, Barbieri, Heléne Enghardt, Farzadfar, Farshad, Hadziomeragic, Aida Filipovic, Fisberg, Regina M., Forsyth, Simon, Garriguet, Didier, Gaspoz, Jean Michel, Gauci, Dorothy, Calleja, Neville, Ginnela, Brahmam N V, Guessous, Idris, Gulliford, Martin C., Hadden, Wilbur, Haerpfer, Christian, Hoffman, Daniel J., Houshiar-Rad, Anahita, Huybrechts, Inge, Hwalla, Nahla C., Ibrahim, Hajah Masni, Inoue, Manami, Jackson, Maria D., Johansson, Lars, Keinan-Boker, Lital, Kim, Cho il, Koksal, Eda, Lee, Hae Jeung, Li, Yanping, Lipoeto, Nur Indrawaty, Ma, Guansheng, Mangialavori, Guadalupe L., Matsumura, Yasuhiro, McGarvey, Stephen T., Fen, Chan Mei, Monge-Rojas, Rafael A., Musaiger, Abdulrahman Obaid, Nagalla, Balakrishna, Naska, Androniki, Ocke, Marga C., Oltarzewski, Maciej, Szponar, Lucjan, Orfanos, Philippos, Ovaskainen, Marja Leena, Tapanainen, Heli, Pan, Wen Harn, Panagiotakos, Demosthenes B., Pekcan, Gulden Ayla, Petrova, Stefka, Piaseu, Noppawan, Pitsavos, Christos, Posada, Luz Gladys, Sánchez-Romero, Luz Maria, Selamat, Rusidah B T, Sharma, Sangita, Sibai, Abla Mehio, Sichieri, Rosely, Simmala, Chansimaly, Steingrimsdottir, Laufey, Swan, Gillian, Sygnowska, Elzbieta Halina, Templeton, Robert, Thanopoulou, Anastasia, Thorgeirsdóttir, Holmfridur, Thorsdottir, Inga, Trichopoulou, Antonia, Tsugane, Shoichiro, Turrini, Aida, Vaask, Sirje, van Oosterhout, Coline, Veerman, J. Lennert, Verena, Nowak, Waskiewicz, Anna, Zaghloul, Sahar, and Zajkás, Gábor
- Subjects
Male ,saturated fat ,Time Factors ,Trans fatty acids ,FATORES DE RISCO ,Epidemiology ,Saturated fat ,Coronary Disease ,030204 cardiovascular system & hematology ,Recommended Dietary Allowances ,Polyunsaturated fat ,0302 clinical medicine ,cardiovascular disease ,Risk Factors ,Medicine ,030212 general & internal medicine ,ω‐6 polyunsaturated fat ,Original Research ,2. Zero hunger ,chemistry.chemical_classification ,1. No poverty ,food and beverages ,trans fat ,Trans Fatty Acids ,Cardiovascular disease ,Markov Chains ,Nutritionally induced diseases ,3. Good health ,Coronary heart disease ,dietary fat ,Female ,Cardiology and Cardiovascular Medicine ,Risk assessment ,Monte Carlo Method ,Polyunsaturated fatty acid ,medicine.medical_specialty ,Trans fat ,Health surveys ,Uncertainty interval ,Diet Surveys ,Risk Assessment ,03 medical and health sciences ,Chd mortality ,Age Distribution ,Lipids in human nutrition ,X-6 polyunsaturated fat ,Fatty Acids, Omega-6 ,Environmental health ,Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE) ,Humans ,Saturated fatty acids ,coronary heart disease ,Sex Distribution ,Coronary heart disease -- Nutritional aspects ,Unsaturated fatty acids ,business.industry ,Correction ,Bayes Theorem ,Protective Factors ,Dietary Fats ,Surgery ,Food -- Fat content ,chemistry ,business ,Dietary fat - Abstract
Background: Saturated fat (SFA), ω‐6 (n‐6) polyunsaturated fat (PUFA), and trans fat (TFA) influence risk of coronary heart disease (CHD), but attributable CHD mortalities by country, age, sex, and time are unclear. Methods and Results: National intakes of SFA, n‐6 PUFA, and TFA were estimated using a Bayesian hierarchical model based on country‐specific dietary surveys; food availability data; and, for TFA, industry reports on fats/oils and packaged foods. Etiologic effects of dietary fats on CHD mortality were derived from meta‐analyses of prospective cohorts and CHD mortality rates from the 2010 Global Burden of Diseases study. Absolute and proportional attributable CHD mortality were computed using a comparative risk assessment framework. In 2010, nonoptimal intakes of n‐6 PUFA, SFA, and TFA were estimated to result in 711 800 (95% uncertainty interval [UI] 680 700–745 000), 250 900 (95% UI 236 900–265 800), and 537 200 (95% UI 517 600–557 000) CHD deaths per year worldwide, accounting for 10.3% (95% UI 9.9%–10.6%), 3.6%, (95% UI 3.5%–3.6%) and 7.7% (95% UI 7.6%–7.9%) of global CHD mortality. Tropical oil–consuming countries were estimated to have the highest proportional n‐6 PUFA– and SFA‐attributable CHD mortality, whereas Egypt, Pakistan, and Canada were estimated to have the highest proportional TFA‐attributable CHD mortality. From 1990 to 2010 globally, the estimated proportional CHD mortality decreased by 9% for insufficient n‐6 PUFA and by 21% for higher SFA, whereas it increased by 4% for higher TFA, with the latter driven by increases in low‐ and middle‐income countries. Conclusions: Nonoptimal intakes of n‐6 PUFA, TFA, and SFA each contribute to significant estimated CHD mortality, with important heterogeneity across countries that informs nation‐specific clinical, public health, and policy priorities., peer-reviewed
- Published
- 2016
- Full Text
- View/download PDF
20. Global, regional and national consumption of major food groups in 1990 and 2010 : a systematic analysis including 266 country-specific nutrition surveys worldwide
- Author
-
Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Andrews, Kathryn G., Engell, Rebecca E., Mozaffarian, Dariush, and Calleja, Neville
- Subjects
Nutrition surveys ,Food habits ,food and beverages ,Food consumption ,Food supply - Abstract
Objective: To quantify global intakes of key foods related to non-communicable diseases in adults by region (n=21), country (n=187), age and sex, in 1990 and 2010. Design: We searched and obtained individual-level intake data in 16 age/sex groups worldwide from 266 surveys across 113 countries. We combined these data with food balance sheets available in all nations and years. A hierarchical Bayesian model estimated mean food intake and associated uncertainty for each age-sex-country-year stratum, accounting for differences in intakes versus availability, survey methods and representativeness, and sampling and modelling uncertainty. Setting/population: Global adult population, by age, sex, country and time. Results: In 2010, global fruit intake was 81.3 g/day (95% uncertainty interval 78.9–83.7), with country-specific intakes ranging from 19.2–325.1 g/day; in only 2 countries (representing 0.4% of the world's population), mean intakes met recommended targets of ≥300 g/day. Country-specific vegetable intake ranged from 34.6–493.1 g/day (global mean=208.8 g/day); corresponding values for nuts/seeds were 0.2–152.7 g/day (8.9 g/day); for whole grains, 1.3–334.3 g/day (38.4 g/day); for seafood, 6.0–87.6 g/day (27.9 g/day); for red meats, 3.0–124.2 g/day (41.8 g/day); and for processed meats, 2.5–66.1 g/day (13.7 g/day). Mean national intakes met recommended targets in countries representing 0.4% of the global population for vegetables (≥400 g/day); 9.6% for nuts/seeds (≥4 (28.35 g) servings/week); 7.6% for whole grains (≥2.5 (50 g) servings/day); 4.4% for seafood (≥3.5 (100 g) servings/week); 20.3% for red meats (≤1 (100 g) serving/week); and 38.5% for processed meats (≤1 (50 g) serving/week). Intakes of healthful foods were generally higher and of less healthful foods generally lower at older ages. Intakes were generally similar by sex. Vegetable, seafood and processed meat intakes were stable over time; fruits, nuts/seeds and red meat, increased; and whole grains, decreased. Conclusions: These global dietary data by nation, age and sex identify key challenges and opportunities for optimising diets, informing policies and priorities for improving global health., peer-reviewed
- Published
- 2015
21. Global, Regional, and National Consumption of Sugar-Sweetened Beverages, Fruit Juices, and Milk: A Systematic Assessment of Beverage Intake in 187 Countries.
- Author
-
Singh, Gitanjali M, Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Lim, Stephen, Andrews, Kathryn G, Engell, Rebecca, Ezzati, Majid, Mozaffarian, Dariush, Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE), Castetbon, Katia, Singh, Gitanjali M, Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Lim, Stephen, Andrews, Kathryn G, Engell, Rebecca, Ezzati, Majid, Mozaffarian, Dariush, Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE), and Castetbon, Katia
- Abstract
Sugar-sweetened beverages (SSBs), fruit juice, and milk are components of diet of major public health interest. To-date, assessment of their global distributions and health impacts has been limited by insufficient comparable and reliable data by country, age, and sex., 0, info:eu-repo/semantics/published
- Published
- 2015
22. Missed opportunities to deliver intermittent preventive treatment for malaria to pregnant women 2003–2013: a systematic analysis of 58 household surveys in sub-Saharan Africa
- Author
-
Andrews, Kathryn G., primary, Lynch, Michael, additional, Eckert, Erin, additional, and Gutman, Julie, additional
- Published
- 2015
- Full Text
- View/download PDF
23. Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide
- Author
-
Micha, Renata, primary, Khatibzadeh, Shahab, additional, Shi, Peilin, additional, Andrews, Kathryn G, additional, Engell, Rebecca E, additional, and Mozaffarian, Dariush, additional
- Published
- 2015
- Full Text
- View/download PDF
24. Linear Growth and Child Development in Low- and Middle-Income Countries: A Meta-Analysis
- Author
-
Sudfeld, Christopher R., primary, Charles McCoy, Dana, additional, Danaei, Goodarz, additional, Fink, Günther, additional, Ezzati, Majid, additional, Andrews, Kathryn G., additional, and Fawzi, Wafaie W., additional
- Published
- 2015
- Full Text
- View/download PDF
25. Is there preferential coverage for the most at risk? A survey-based analysis of malaria vector control by endemicity level
- Author
-
Andrews, Kathryn G, primary, Gething, Peter, additional, Lim, Stephen S, additional, Lynch, Michael, additional, and Cibulskis, Richard, additional
- Published
- 2013
- Full Text
- View/download PDF
26. Global, Regional, and National Consumption of Sugar-Sweetened Beverages, Fruit Juices, and Milk: A Systematic Assessment of Beverage Intake in 187 Countries.
- Author
-
Singh, Gitanjali M., Micha, Renata, Khatibzadeh, Shahab, Shi, Peilin, Lim, Stephen, Andrews, Kathryn G., Engell, Rebecca E., Ezzati, Majid, Mozaffarian, Dariush, and null, null
- Subjects
BEVERAGES ,FRUIT juices ,MILK consumption ,PUBLIC health ,NUTRITION policy - Abstract
Background: Sugar-sweetened beverages (SSBs), fruit juice, and milk are components of diet of major public health interest. To-date, assessment of their global distributions and health impacts has been limited by insufficient comparable and reliable data by country, age, and sex. Objective: To quantify global, regional, and national levels of SSB, fruit juice, and milk intake by age and sex in adults over age 20 in 2010. Methods: We identified, obtained, and assessed data on intakes of these beverages in adults, by age and sex, from 193 nationally- or subnationally-representative diet surveys worldwide, representing over half the world’s population. We also extracted data relevant to milk, fruit juice, and SSB availability for 187 countries from annual food balance information collected by the United Nations Food and Agriculture Organization. We developed a hierarchical Bayesian model to account for measurement incomparability, study representativeness, and sampling and modeling uncertainty, and to combine and harmonize nationally representative dietary survey data and food availability data. Results: In 2010, global average intakes were 0.58 (95%UI: 0.37, 0.89) 8 oz servings/day for SSBs, 0.16 (0.10, 0.26) for fruit juice, and 0.57 (0.39, 0.83) for milk. There was significant heterogeneity in consumption of each beverage by region and age. Intakes of SSB were highest in the Caribbean (1.9 servings/day; 1.2, 3.0); fruit juice consumption was highest in Australia and New Zealand (0.66; 0.35, 1.13); and milk intake was highest in Central Latin America and parts of Europe (1.06; 0.68, 1.59). Intakes of all three beverages were lowest in East Asia and Oceania. Globally and within regions, SSB consumption was highest in younger adults; fruit juice consumption showed little relation with age; and milk intakes were highest in older adults. Conclusions: Our analysis highlights the enormous spectrum of beverage intakes worldwide, by country, age, and sex. These data are valuable for highlighting gaps in dietary surveillance, determining the impacts of these beverages on global health, and targeting dietary policy. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
27. Overall and Sex-Specific Associations Between Fetal Adversity and Child Development at Age 1 Year: Evidence From Brazil
- Author
-
Fink, Günther, Andrews, Kathryn G., Brentani, Helena, Grisi, Sandra, Scoleze Ferrer, Ana Paula, Brentani, Alexandra, Fink, Günther, Andrews, Kathryn G., Brentani, Helena, Grisi, Sandra, Scoleze Ferrer, Ana Paula, and Brentani, Alexandra
- Abstract
A growing body of epigenetic research suggests that in-utero adaptations to environmental changes display important sex-specific variation. We tested this heterogeneous adaptation hypothesis using data from 900 children born at the University Hospital in São Paulo, Brazil, between October 2013 and April 2014. Crude and adjusting linear models were used to quantify the associations between prematurity, being small for gestational age, and children's physical and mental development at 12 months of age. Prematurity was negatively associated with neuropsychological development in final models (z score difference, −0.42, 95% confidence intervals: −0.71, −0.14), but associations did not vary significantly by sex. For being small for gestational age, associations with height-for-age, weight-for-age, and neuropsychological development were also negative, but they were systematically larger for male than for female infants (P < 0.05 for all). These results suggest that male fetuses may be more vulnerable to intrauterine adversity than female fetuses. Further research will be needed to better understand the mechanisms underlying these sex-specific associations.
28. Human resource challenges in health systems: evidence from 10 African countries.
- Author
-
Sheffel A, Andrews KG, Conner R, Di Giorgio L, Evans DK, Gatti R, Lindelow M, Sharma J, Svensson J, Wane W, and Welander Tärneberg A
- Subjects
- Humans, Africa South of the Sahara, Delivery of Health Care organization & administration, Health Services Needs and Demand, Health Workforce, Health Personnel
- Abstract
Sub-Saharan Africa has fewer medical workers per capita than any region of the world, and that shortage has been highlighted consistently as a critical constraint to improving health outcomes in the region. This paper draws on newly available, systematic, comparable data from 10 countries in the region to explore the dimensions of this shortage. We find wide variation in human resources performance metrics, both within and across countries. Many facilities are barely staffed, and effective staffing levels fall further when adjusted for health worker absences. However, caseloads-while also varying widely within and across countries-are also low in many settings, suggesting that even within countries, deployment rather than shortages, together with barriers to demand, may be the principal challenges. Beyond raw numbers, we observe significant proportions of health workers with very low levels of clinical knowledge on standard maternal and child health conditions. This study highlights that countries may need to invest broadly in health workforce deployment, improvements in capacity and performance of the health workforce, and on addressing demand constraints, rather than focusing narrowly on increases in staffing numbers., (© The Author(s) 2024. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.