Journal article
Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016
The Lancet (British edition), Vol.390(10100), pp.1345-1422
09/16/2017
DOI: 10.1016/S0140-6736(17)32366-8
PMCID: PMC5614451
PMID: 28919119
Abstract
Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.
Methods We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.
Findings Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124.1 million DALYs [95% UI 111.2 million to 137.0 million]), high systolic blood pressure (122.2 million DALYs [110.3 million to 133.3 million], and low birthweight and short gestation (83.0 million DALYs [78.3 million to 87.7 million]), and for women, were high systolic blood pressure (89.9 million DALYs [80.9 million to 98.2 million]), high body-mass index (64.8 million DALYs [44.4 million to 87.6 million]), and high fasting plasma glucose (63.8 million DALYs [53.2 million to 76.3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9.3% (6.9-11.6) decline in deaths and a 10.8% (8.3-13.1) decrease in DALYs at the global level, while population ageing accounts for 14.9% (12.7-17.5) of deaths and 6.2% (3.9-8.7) of DALYs, and population growth for 12.4% (10.1-14.9) of deaths and 12.4% (10.1-14.9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27.3% (24.9-29.7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.
Interpretation Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Details
- Title: Subtitle
- Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016
- Creators
- Emmanuela Gakidou - Institute for Health Metrics and EvaluationAshkan Afshin - Institute for Health Metrics and EvaluationAmanuel Alemu Abajobir - Institute for Health Metrics and EvaluationKalkidan Hassen Abate - Institute for Health Metrics and EvaluationCristiana Abbafati - Institute for Health Metrics and EvaluationKaja M. Abbas - Institute for Health Metrics and EvaluationFoad Abd-Allah - Institute for Health Metrics and EvaluationAbdishakur M. Abdulle - Institute for Health Metrics and EvaluationSemaw Ferede Abera - Institute for Health Metrics and EvaluationVictor Aboyans - Institute for Health Metrics and EvaluationLaith J. Abu-Raddad - Institute for Health Metrics and EvaluationNiveen M. E. Abu-Rmeileh - Institute for Health Metrics and EvaluationGebre Yitayih Abyu - Institute for Health Metrics and EvaluationIsaac Akinkunmi Adedeji - Institute for Health Metrics and EvaluationOlatunji Adetokunboh - Institute for Health Metrics and EvaluationMohsen Afarideh - Institute for Health Metrics and EvaluationAnurag Agrawal - Institute for Health Metrics and EvaluationSutapa Agrawal - Institute for Health Metrics and EvaluationAliasghar Ahmad Kiadaliri - Lund UniversityHamid Ahmadieh - Institute for Health Metrics and EvaluationMuktar Beshir Ahmed - Institute for Health Metrics and EvaluationAmani Nidhal Aichour - Institute for Health Metrics and EvaluationIbtihel Aichour - Institute for Health Metrics and EvaluationMiloud Taki Eddine Aichour - Institute for Health Metrics and EvaluationRufus Olusola Akinyemi - Institute for Health Metrics and EvaluationNadia Akseer - Institute for Health Metrics and EvaluationFares Alahdab - Institute for Health Metrics and EvaluationZiyad Al-Aly - Institute for Health Metrics and EvaluationKhurshid Alam - Institute for Health Metrics and EvaluationNoore Alam - Institute for Health Metrics and EvaluationTahiya Alam - University of WashingtonDeena Alasfoor - Institute for Health Metrics and EvaluationKefyalew Addis Alene - Institute for Health Metrics and EvaluationKomal Ali - Institute for Health Metrics and EvaluationReza Alizadeh-Navaei - Institute for Health Metrics and EvaluationAla'a Alkerwi - Luxembourg Inst Hlth, Strassen, LuxembourgFrancois Alla - Institute for Health Metrics and EvaluationPeter Allebeck - Institute for Health Metrics and EvaluationRajaa Al-Raddadi - Institute for Health Metrics and EvaluationUbai Alsharif - Institute for Health Metrics and EvaluationKhalid A. Altirkawi - Institute for Health Metrics and EvaluationNelson Alvis-Guzman - Institute for Health Metrics and EvaluationAzmeraw T. Amare - Institute for Health Metrics and EvaluationErfan Amini - Institute for Health Metrics and EvaluationWalid Ammar - Institute for Health Metrics and EvaluationYaw Ampem Amoako - Institute for Health Metrics and EvaluationHossein Ansari - Institute for Health Metrics and EvaluationJosep M. Anto - Institute for Health Metrics and EvaluationCarl Abelardo T. Antonio - Institute for Health Metrics and EvaluationPalwasha Anwari - Institute for Health Metrics and EvaluationNicholas Arian - Institute for Health Metrics and EvaluationJohan Arnlov - Institute for Health Metrics and EvaluationA. Artaman - Institute for Health Metrics and EvaluationKrishna Kumar Aryal - Institute for Health Metrics and EvaluationHamid Asayesh - Institute for Health Metrics and EvaluationSolomon Weldegebreal Asgedom - Institute for Health Metrics and EvaluationTesfay Mehari Atey - Institute for Health Metrics and EvaluationLeticia Avila-Burgos - Institute for Health Metrics and EvaluationEuripide Frinel G. Arthur Avokpaho - IRCB, Cotonou, BeninAshish Awasthi - Institute for Health Metrics and EvaluationPeter Azzopardi - Institute for Health Metrics and EvaluationUmar Bacha - Institute for Health Metrics and EvaluationAlaa Badawi - Institute for Health Metrics and EvaluationKalpana Balakrishnan - Institute for Health Metrics and EvaluationShoshana H. Ballew - Institute for Health Metrics and EvaluationAleksandra Barac - Institute for Health Metrics and EvaluationRyan M. Barber - Institute for Health Metrics and EvaluationSuzanne L. Barker-Collo - Institute for Health Metrics and EvaluationTill Barnighausen - Institute for Health Metrics and EvaluationSimon Barquera - Institute for Health Metrics and EvaluationLars Barregard - Institute for Health Metrics and EvaluationLope H. Barrero - Institute for Health Metrics and EvaluationCarolina Batis - Institute for Health Metrics and EvaluationKatherine E. Battle - Institute for Health Metrics and EvaluationBernhard T. Baune - Institute for Health Metrics and EvaluationJustin Beardsley - Institute for Health Metrics and EvaluationNeeraj Bedi - Institute for Health Metrics and EvaluationEttore Beghi - Institute for Health Metrics and EvaluationMichelle L. Bell - Institute for Health Metrics and EvaluationDerrick A. Bennett - Institute for Health Metrics and EvaluationJames R. Bennett - Institute for Health Metrics and EvaluationIsabela M. Bensenor - Institute for Health Metrics and EvaluationAdugnaw Berhane - Institute for Health Metrics and EvaluationDerbew Fikadu Berhe - Institute for Health Metrics and EvaluationEduardo Bernabe - Institute for Health Metrics and EvaluationBalem Demtsu Betsu - Institute for Health Metrics and EvaluationMircea Beuran - Institute for Health Metrics and EvaluationAddisu Shunu Beyene - Institute for Health Metrics and EvaluationAnil Bhansali - Institute for Health Metrics and EvaluationZulfiqar A. Bhutta - Institute for Health Metrics and EvaluationBoris Bikbov - Institute for Health Metrics and EvaluationCharles Birungi - Institute for Health Metrics and EvaluationStan Biryukov - Institute for Health Metrics and EvaluationChristopher D. Blosser - University of WashingtonDube Jara Boneya - Institute for Health Metrics and EvaluationIbrahim R. Bou-Orm - Institute for Health Metrics and EvaluationMichael Brauer - Institute for Health Metrics and EvaluationNicholas J. K. Breitborde - Institute for Health Metrics and EvaluationHermann Brenner - Institute for Health Metrics and EvaluationTraolach S. Brugha - Institute for Health Metrics and EvaluationGBD 2016 Risk Factors CollaboratorsDavid C Schwebel (Contributor) - Research Administration
- Resource Type
- Journal article
- Publication Details
- The Lancet (British edition), Vol.390(10100), pp.1345-1422
- DOI
- 10.1016/S0140-6736(17)32366-8
- PMID
- 28919119
- PMCID
- PMC5614451
- NLM abbreviation
- Lancet
- ISSN
- 0140-6736
- eISSN
- 1474-547X
- Publisher
- Elsevier
- Number of pages
- 78
- Grant note
- ES/J023299/1 / Economic and Social Research Council; UK Research & Innovation (UKRI); Economic & Social Research Council (ESRC) ES/J023299/1 / ESRC; UK Research & Innovation (UKRI); Economic & Social Research Council (ESRC) SPHSU15; SCAF/15/02; SPHSU13 / Chief Scientist Office; Chief Scientist Office - Scotland MC_UU_12011/2; G0400491; MC_UU_12011/1; U1475000002; MC_UP_A620_1014; MC_U147585827; MR/K013351/1; MC_U147585819; MC_UU_12017/15; MC_UP_A620_1015; MC_UU_12017/13; MC_U147585824; U1475000001 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC) Bill AMP; Melinda Gates Foundation; CGIAR 15K08762 / Grants-in-Aid for Scientific Research; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science; Grants-in-Aid for Scientific Research (KAKENHI) 1499934 / Engineering and Physical Sciences Research Council; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) Bloomberg Philanthropies NF-SI-0508-10082; CDF-2011-04-048; NF-SI-0513-10085 / National Institute for Health Research; National Institutes of Health Research (NIHR) G0400491; MR/K013351/1; MC_UU_12017/13; MC_U147585819; MC_UU_12017/15; MC_U147585827; MC_UU_12011/2; MC_UP_A620_1015 / MRC; UK Research & Innovation (UKRI); Medical Research Council UK (MRC)
- Language
- English
- Date published
- 09/16/2017
- Academic Unit
- Research Administration
- Record Identifier
- 9984949202802771
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