Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
- PMID: 33069326
- PMCID: PMC7567026
- DOI: 10.1016/S0140-6736(20)30925-9
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
Erratum in
-
Department of Error.Lancet. 2020 Nov 14;396(10262):1562. doi: 10.1016/S0140-6736(20)32226-1. Epub 2020 Oct 23. Lancet. 2020. PMID: 33198906 Free PMC article. No abstract available.
Abstract
Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries.
Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution.
Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI.
Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve.
Funding: Bill & Melinda Gates Foundation.
Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
Figures
Comment in
-
An urgent plea for surgical care in Lebanon.Lancet. 2022 May 7;399(10337):1777-1778. doi: 10.1016/S0140-6736(22)00776-0. Lancet. 2022. PMID: 35526550 No abstract available.
-
Extra criteria for quality assessment of clinical trials in physiotherapy.Musculoskelet Sci Pract. 2024 Feb;69:102910. doi: 10.1016/j.msksp.2024.102910. Epub 2024 Jan 17. Musculoskelet Sci Pract. 2024. PMID: 38246812 No abstract available.
Similar articles
-
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.Lancet. 2024 May 18;403(10440):2133-2161. doi: 10.1016/S0140-6736(24)00757-8. Epub 2024 Apr 17. Lancet. 2024. PMID: 38642570 Free PMC article.
-
Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021.Lancet. 2024 May 18;403(10440):2204-2256. doi: 10.1016/S0140-6736(24)00685-8. Lancet. 2024. PMID: 38762325 Free PMC article.
-
Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.Lancet. 2017 Sep 16;390(10100):1151-1210. doi: 10.1016/S0140-6736(17)32152-9. Lancet. 2017. PMID: 28919116 Free PMC article.
-
Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.Lancet. 2015 Aug 22;386(9995):743-800. doi: 10.1016/S0140-6736(15)60692-4. Epub 2015 Jun 7. Lancet. 2015. PMID: 26063472 Free PMC article. Review.
-
Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010.Lancet. 2013 Nov 9;382(9904):1575-86. doi: 10.1016/S0140-6736(13)61611-6. Epub 2013 Aug 29. Lancet. 2013. PMID: 23993280 Review.
Cited by
-
An Analysis of Cost Variation Among Drugs Available in the Indian Market for the Treatment of Chronic Bone-Related Ailments.Cureus. 2024 Oct 22;16(10):e72092. doi: 10.7759/cureus.72092. eCollection 2024 Oct. Cureus. 2024. PMID: 39575037 Free PMC article.
-
Economic costs attributable to modifiable risk factors: an analysis of 24 million urban residents in China.BMC Med. 2024 Nov 21;22(1):549. doi: 10.1186/s12916-024-03772-7. BMC Med. 2024. PMID: 39574122 Free PMC article.
-
KMT2A regulates the autophagy-GATA4 axis through METTL3-mediated m6A modification of ATG4a to promote NPCs senescence and IVDD progression.Bone Res. 2024 Nov 21;12(1):67. doi: 10.1038/s41413-024-00373-1. Bone Res. 2024. PMID: 39572532 Free PMC article.
-
Bundling of unhealthy food products in Johannesburg, South Africa: an exploratory study.Health Promot Int. 2024 Dec 1;39(6):daae167. doi: 10.1093/heapro/daae167. Health Promot Int. 2024. PMID: 39569803 Free PMC article.
-
Trends in the Use of Pit and Fissure Sealants in Adolescents and Their Impact on the Decayed, Missing, and Filled Teeth (DMFT) Index: An Ecological Study in Mexico.Cureus. 2024 Oct 21;16(10):e72064. doi: 10.7759/cureus.72064. eCollection 2024 Oct. Cureus. 2024. PMID: 39569227 Free PMC article.
References
-
- Kyu HH, Abate D, Abate KH. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1859–1922. - PMC - PubMed
-
- James SL, Abate D, Abate KH. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1789–1858. - PMC - PubMed
-
- WHO Third United Nations high-level meeting on NCDs. 2018. http://www.who.int/ncds/governance/third-un-meeting/en
-
- WHO . WHO Regional Office for Europe; Copenhagen: 2016. Action plan for the prevention and control of noncommunicable diseases in the WHO European Region.
Uncited Reference
-
- Schultze-Kraft M, Chinchilla FA, Moriconi M. New perspectives on crime, violence and insecurity in Latin America. Crime Law Soc Change. 2018;69:465–473.
MeSH terms
Grants and funding
- K43 TW010716/TW/FIC NIH HHS/United States
- SPHSU15/CSO_/Chief Scientist Office/United Kingdom
- G0601022/MRC_/Medical Research Council/United Kingdom
- MR/R024227/1/MRC_/Medical Research Council/United Kingdom
- MC_UU_12026/3/MRC_/Medical Research Council/United Kingdom
- G9901400/MRC_/Medical Research Council/United Kingdom
- WT_/Wellcome Trust/United Kingdom
- MR/M015084/1/MRC_/Medical Research Council/United Kingdom
- MC_U137686857/MRC_/Medical Research Council/United Kingdom
- P01 HD031921/HD/NICHD NIH HHS/United States
- R01 MH110163/MH/NIMH NIH HHS/United States
- MC_UU_00022/2/MRC_/Medical Research Council/United Kingdom
- SCAF/15/02/CSO_/Chief Scientist Office/United Kingdom
- MC_UU_12017/13/MRC_/Medical Research Council/United Kingdom
- T32 AG000247/AG/NIA NIH HHS/United States
- MR/R00160X/1/MRC_/Medical Research Council/United Kingdom
- 206471/Z/17/Z/WT_/Wellcome Trust/United Kingdom
- U01 AG009740/AG/NIA NIH HHS/United States
- R01 AG031716/AG/NIA NIH HHS/United States
- P30 AG047845/AG/NIA NIH HHS/United States
- K23 DK106515/DK/NIDDK NIH HHS/United States
- 109949/Z/15/Z/WT_/Wellcome Trust/United Kingdom
- 205039/Z/16/Z/WT_/Wellcome Trust/United Kingdom
- MR/S011676/1/MRC_/Medical Research Council/United Kingdom
- SPHSU13/CSO_/Chief Scientist Office/United Kingdom
- HHSN271201300071C/AG/NIA NIH HHS/United States
- SPHSU17/CSO_/Chief Scientist Office/United Kingdom
- MC_UU_12017/15/MRC_/Medical Research Council/United Kingdom
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous