Author
Kyle J Foreman
Other affiliations: Imperial College London, University of Washington
Bio: Kyle J Foreman is an academic researcher from Institute for Health Metrics and Evaluation. The author has contributed to research in topics: Population & Years of potential life lost. The author has an hindex of 63, co-authored 80 publications receiving 92476 citations. Previous affiliations of Kyle J Foreman include Imperial College London & University of Washington.
Papers
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01 Jan 2015
TL;DR: The gap in mortality rates between men and women has reduced, but marked health inequalities between the least deprived and most deprived areas remain, and England ranked better than the UK and the EU15+ means.
Abstract: Summary Background In the Global Burden of Disease Study 2013 (GBD 2013), knowledge about health and its determinants has been integrated into a comparable framework to inform health policy. Outputs of this analysis are relevant to current policy questions in England and elsewhere, particularly on health inequalities. We use GBD 2013 data on mortality and causes of death, and disease and injury incidence and prevalence to analyse the burden of disease and injury in England as a whole, in English regions, and within each English region by deprivation quintile. We also assess disease and injury burden in England attributable to potentially preventable risk factors. England and the English regions are compared with the remaining constituent countries of the UK and with comparable countries in the European Union (EU) and beyond. Methods We extracted data from the GBD 2013 to compare mortality, causes of death, years of life lost (YLLs), years lived with a disability (YLDs), and disability-adjusted life-years (DALYs) in England, the UK, and 18 other countries (the first 15 EU members [apart from the UK] and Australia, Canada, Norway, and the USA [EU15+]). We extended elements of the analysis to English regions, and subregional areas defined by deprivation quintile (deprivation areas). We used data split by the nine English regions (corresponding to the European boundaries of the Nomenclature for Territorial Statistics level 1 [NUTS 1] regions), and by quintile groups within each English region according to deprivation, thereby making 45 regional deprivation areas. Deprivation quintiles were defined by area of residence ranked at national level by Index of Multiple Deprivation score, 2010. Burden due to various risk factors is described for England using new GBD methodology to estimate independent and overlapping attributable risk for five tiers of behavioural, metabolic, and environmental risk factors. We present results for 306 causes and 2337 sequelae, and 79 risks or risk clusters. Findings Between 1990 and 2013, life expectancy from birth in England increased by 5·4 years (95% uncertainty interval 5·0–5·8) from 75·9 years (75·9–76·0) to 81·3 years (80·9–81·7); gains were greater for men than for women. Rates of age-standardised YLLs reduced by 41·1% (38·3–43·6), whereas DALYs were reduced by 23·8% (20·9–27·1), and YLDs by 1·4% (0·1–2·8). For these measures, England ranked better than the UK and the EU15+ means. Between 1990 and 2013, the range in life expectancy among 45 regional deprivation areas remained 8·2 years for men and decreased from 7·2 years in 1990 to 6·9 years in 2013 for women. In 2013, the leading cause of YLLs was ischaemic heart disease, and the leading cause of DALYs was low back and neck pain. Known risk factors accounted for 39·6% (37·7–41·7) of DALYs; leading behavioural risk factors were suboptimal diet (10·8% [9·1–12·7]) and tobacco (10·7% [9·4–12·0]). Interpretation Health in England is improving although substantial opportunities exist for further reductions in the burden of preventable disease. The gap in mortality rates between men and women has reduced, but marked health inequalities between the least deprived and most deprived areas remain. Declines in mortality have not been matched by similar declines in morbidity, resulting in people living longer with diseases. Health policies must therefore address the causes of ill health as well as those of premature mortality. Systematic action locally and nationally is needed to reduce risk exposures, support healthy behaviours, alleviate the severity of chronic disabling disorders, and mitigate the effects of socioeconomic deprivation. Funding Bill & Melinda Gates Foundation and Public Health England.
20 citations
01 Jan 2018
TL;DR: The findings will guide evidence-based health policy decisions for interventions to achieve the ultimate goal of reducing the DD burden.
Abstract: Objectives: Diarrheal diseases (DD) are an important cause of disease burden, especially in children in low-income settings. DD can also impact children�s potential livelihood through growth faltering, cognitive impairment, and other sequelae. Methods: As part of the Global Burden of Disease study, we estimated DD burden, and the burden attributable to specific risk factors and etiologies, in the Eastern Mediterranean Region (EMR) between 1990 and 2015. We calculated disability-adjusted life-years (DALYs)�the sum of years of life lost and years lived with disability�for both sexes and all ages. Results: We estimate that over 103,692 diarrhea deaths occurred in the EMR in 2015 (95 uncertainty interval: 87,018�124,692), and the mortality rate was 16.0 deaths per 100,000 persons (95 UI: 13.4�19.2). The majority of these deaths occurred in children under 5 (63.3) (65,670 deaths, 95 UI: 53,640�79,486). DALYs per 100,000 ranged from 304 (95 UI 228�400) in Kuwait to 38,900 (95 UI 25,900�54,300) in Somalia. Conclusions: Our findings will guide evidence-based health policy decisions for interventions to achieve the ultimate goal of reducing the DD burden. © 2017, The Author(s).
15 citations
01 Jan 2010
TL;DR: Researchers at IHME working in collaboration with researchers at the University of Queensland gathered vital registration data censuses surveys and other sources to create datasets that were more than twice as large as those available for previous studies on maternal and child mortality.
Abstract: This detailed report includes data on mortality trends for more than 180 countries over two decades. Researchers at IHME working in collaboration with researchers at the University of Queensland gathered vital registration data censuses surveys and other sources to create datasets that were more than twice as large as those available for previous studies on maternal and child mortality. Their findings show surprising progress in reducing maternal and child deaths worldwide especially in countries where declines in mortality have been difficult to achieve. IHME intends to regularly update its estimates of maternal and child mortality to help policymakers decide where to focus health resources part of the Institute’s ongoing effort to work with governments and non-governmental organizations to gather and analyze data and generate the best possible picture of health outcomes.
12 citations
TL;DR: In this article, the authors estimate that over 103,692 diarrhea deaths occurred in the Eastern Mediterranean Region (EMR) between 1990 and 2015, and the mortality rate was 16.0 deaths per 100,000 persons (95% UI: 13.4-19.2).
Abstract: OBJECTIVES: Diarrheal diseases (DD) are an important cause of disease burden, especially in children in low-income settings. DD can also impact children's potential livelihood through growth faltering, cognitive impairment, and other sequelae.METHODS: As part of the Global Burden of Disease study, we estimated DD burden, and the burden attributable to specific risk factors and etiologies, in the Eastern Mediterranean Region (EMR) between 1990 and 2015. We calculated disability-adjusted life-years (DALYs)-the sum of years of life lost and years lived with disability-for both sexes and all ages.RESULTS: We estimate that over 103,692 diarrhea deaths occurred in the EMR in 2015 (95% uncertainty interval: 87,018-124,692), and the mortality rate was 16.0 deaths per 100,000 persons (95% UI: 13.4-19.2). The majority of these deaths occurred in children under 5 (63.3%) (65,670 deaths, 95% UI: 53,640-79,486). DALYs per 100,000 ranged from 304 (95% UI 228-400) in Kuwait to 38,900 (95% UI 25,900-54,300) in Somalia.CONCLUSIONS: Our findings will guide evidence-based health policy decisions for interventions to achieve the ultimate goal of reducing the DD burden.
12 citations
TL;DR: A novel Bayesian hierarchical model is presented that jointly forecasts cause-specific death rates for geographic subunits and has lower out-of-sample error than alternative commonly used models for forecasting mortality.
Abstract: Mortality forecasts are typically limited in that they pertain only to national death rates, predict only all-cause mortality or do not capture and utilize the correlation between diseases. We present a novel Bayesian hierarchical model that jointly forecasts cause-specific death rates for geographic subunits. We examine its effectiveness by applying it to US vital statistics data for 1979–2011 and produce forecasts to 2024. Not only does the model generate coherent forecasts for mutually exclusive causes of death, but also it has lower out-of-sample error than alternative commonly used models for forecasting mortality.
10 citations
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TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)
13,400 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 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, using the Cause of Death Ensemble model.
11,809 citations
Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
TL;DR: In this paper, the authors 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.
9,324 citations
University of Washington1, Sapienza University of Rome2, Mekelle University3, University of Texas at San Antonio4, King Saud bin Abdulaziz University for Health Sciences5, Debre markos University6, Emory University7, University of Oxford8, University of Cartagena9, United Nations Population Fund10, University of Birmingham11, Stanford University12, Aga Khan University13, University of Melbourne14, National Taiwan University15, University of Cambridge16, University of California, San Diego17, Public Health Foundation of India18, Public Health England19, University of Peradeniya20, Harvard University21, National Institutes of Health22, Tehran University of Medical Sciences23, Auckland University of Technology24, University of Sheffield25, University of Western Australia26, Karolinska Institutet27, Birzeit University28, Brandeis University29, American Cancer Society30, Ochsner Medical Center31, Yonsei University32, University of Bristol33, Heidelberg University34, Vanderbilt University35, South African Medical Research Council36, Jordan University of Science and Technology37, New Generation University College38, Northeastern University39, Simmons College40, Norwegian Institute of Public Health41, Boston University42, Chinese Center for Disease Control and Prevention43, University of Bari44, University of São Paulo45, University of Otago46, University of Crete47, International Centre for Diarrhoeal Disease Research, Bangladesh48, Fred Hutchinson Cancer Research Center49, Teikyo University50, Bhabha Atomic Research Centre51, University of Tokyo52, Finnish Institute of Occupational Health53, Heriot-Watt University54, University of Alabama at Birmingham55, Griffith University56, National Center for Disease Control and Public Health57, University of California, Irvine58, Johns Hopkins University59, New York University60, University of Queensland61, Universidade Federal de Minas Gerais62, National Research University – Higher School of Economics63, University of Bergen64, Columbia University65, Shandong University66, University of North Carolina at Chapel Hill67, Fujita Health University68, Korea University69, Chongqing Medical University70, Zhejiang University71
TL;DR: The global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013 is estimated using a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs).
9,180 citations