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dc.contributor.authorKyu, Hmwe Hmwespa
dc.contributor.authorAbate, Deguspa
dc.contributor.authorAbate, Kalkidan Hassenspa
dc.contributor.authorAbay, Solomon Mspa
dc.contributor.authorAbbafati, Cristianaspa
dc.contributor.authorAbbasi, Nooshinspa
dc.contributor.authorAbbastabar, Hedayatspa
dc.contributor.authorAbd-Allah, Foadspa
dc.contributor.authorAbdela, Jemalspa
dc.contributor.authorAbdelalim, Ahmedspa
dc.date.accessioned2019-06-10T13:01:41Z
dc.date.available2019-06-10T13:01:41Z
dc.date.issued2018-11-10
dc.identifier.issn0140-6736spa
dc.identifier.issn1474-547Xspa
dc.identifier.urihttp://hdl.handle.net/11323/4820spa
dc.description.abstractBackground How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life-years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Socio-demographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1–7·8), from 65·6 years (65·3–65·8) in 1990 to 73·0 years (72·7–73·3) in 2017. The increase in years of life varied from 5·1 years (5·0–5·3) in high SDI countries to 12·0 years (11·3–12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1–33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8–15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9–6·7), from 57·0 years (54·6–59·1) in 1990 to 63·3 years (60·5–65·7) in 2017. The increase varied from 3·8 years (3·4–4·1) in high SDI countries to 10·5 years (9·8–11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4–1·7) in Saint Vincent and the Grenadines (62·4 years [59·9–64·7] in 1990 to 63·5 years [60·9–65·8] in 2017) to 23·7 years (21·9–25·6) in Eritrea (30·7 years [28·9–32·2] in 1990 to 54·4 years [51·5–57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6–2·3) in Algeria to 11·9 years (10·9–12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4–78·7]) and males (72·6 years [69·8–75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7–50·2] for females and 42·8 years [40·1–45·6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8–43·5) for communicable diseases and by 49·8% (47·9–51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8–43·0), although age-standardised DALY rates decreased by 18·1% (16·0–20·2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health.spa
dc.language.isoeng
dc.publisherThe Lancetspa
dc.relation.ispartofhttps://doi.org/10.1016/S0140-6736(18)32335-3spa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.titleGlobal, 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 2017spa
dc.typeArtículo de revistaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.references1 United Nations. Sustainable development goal 3. https://sustainabledevelopment.un.org/sdg3 (accessed Oct 24, 2018). 2 Shetty P. Grey matter: ageing in developing countries. Lancet 2012; 379: 1285–87. 3 GBD 2016 Mortality Collaborators. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1084–150. 4 Lancet. Ageing well: a global priority. Lancet 2012; 379: 1274. 5 Marmot M, Allen JJ. Social determinants of health equity. Am J Public Health 2014; 104 (suppl 4): S517–19. 6 Salomon JA, Wang H, Freeman MK, et al. Healthy life expectancy for 187 countries, 1990–2010: a systematic analysis for the Global Burden Disease Study 2010. Lancet 2012; 380: 2144–62. 7 GBD 2013 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition. Lancet 2015; 386: 2145–91. 8 GBD 2015 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1603–58. 9 GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1260–344. 10 Beltrán-Sánchez H, Soneji S, Crimmins EM. Past, present, and future of healthy life expectancy. Cold Spring Harb Perspect Med 2015; 5: 025957. 11 GBD 2017 Cause of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88. 12 GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. 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: 1789–858. 13 GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1684–735. 14 Stevens GA, Alkema L, Black RE, et al. Guidelines for accurate and transparent health estimates reporting: the GATHER statement. PLoS Med 2016; 13: e1002056. 15 Murray CJ, Ezzati M, Flaxman AD, et al. GBD 2010: design, definitions, and metrics. Lancet 2012; 380: 2063–66. 16 Foreman KJ, Lozano R, Lopez AD, Murray CJ. Modeling causes of death: an integrated approach using CODEm. Popul Health Metr 2012; 10: 1. 17 GBD 2017 Population and Fertility Collaborators. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1995–2051. 18 Flaxman AD, Vos T, Murray CJ. An integrative metaregression framework for descriptive epidemiology. University of Washington Press, 2015. 19 Salomon JA, Vos T, Hogan DR, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2129–43. 20 Salomon JA, Haagsma JA, Davis A, et al. Disability weights for the Global Burden of Disease 2013 study. Lancet Glob Health 2015; 3: e712–23. 21 Sullivan DF. A single index of mortality and morbidity. HSMHA Health Rep 1971; 86: 347–54. 22 Courtenay WH. Constructions of masculinity and their influence on men’s well-being: a theory of gender and health. Soc Sci 2000; 50: 1385–401. 23 Institute of Medicine (US) Committee on Understanding the Biology of Sex and Gender Differences. Exploring the biological contributions to human health: does sex matter? Washington (DC): National Academies Press (US), 2001. 24 Barbeau EM, Leavy-Sperounis A, Balbach ED. Smoking, social class, and gender: what can public health learn from the tobacco industry about disparities in smoking? Tob Control 2004; 13: 115–20. 25 Slade T, Chapman C, Swift W, Keyes K, Tonks Z, Teesson M. Birth cohort trends in the global epidemiology of alcohol use and alcohol-related harms in men and women: systematic review and metaregression. BMJ Open 2016; 6: e011827. 26 Treaster DE, Burr D. Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics 2004; 47: 495–526. 27 GBD 2016 Risk Factors Collaborators. 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. Lancet 2017; 390: 1345–422. 28 van Rijn RM, Robroek SJW, Brouwer S, Burdorf A. Influence of poor health on exit from paid employment: a systematic review. Occup Environ Med 2014; 71: 295–301. 29 Lahelma E, Pietiläinen O, Rahkonen O, Lallukka T. Common mental disorders and cause-specific disability retirement. Occup Environ Med 2015; 72: 181–87 30 GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1211–59. 31 Begg S, Vos T, Goss J, Mann N. An alternative approach to projecting health expenditure in Australia. Aust Health Rev 2008; 32: 148–55. 32 Universal health care, worldwide, is within reach. The Economist 2018; published online April 26. https://www.economist.com/news/ leaders/21741138-case-it-powerful-oneincluding-poor-countriesuniversal-health-care-worldwide (accessed May 13, 2018). 33 Dickman SL, Himmelstein DU, Woolhandler S. Inequality and the health-care system in the USA. Lancet 2017; 389: 1431–41. 34 Hedegaard H, Warner M, Miniño AM. Drug overdose deaths in the united states, 1999–2016. NCHS Data Brief 2017; 294: 1–8. 35 Prekupec MP, Mansky PA, Baumann MH. Misuse of novel synthetic opioids: a deadly new trend. J Addict Med 2017; 11: 256–65. 36 WHO. The health of the people: what works. The African regional health report, 2014. Brazzaville: World Health Organization, Regional Office for Africa, 2014. 37 Bhutta ZA, Ahmed T, Black RE, et al. What works? Interventions for maternal and child undernutrition and survival. Lancet 2008; 371: 417–40. 38 Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346: 393–403. 39 Tuomilehto J, Lindstrom J, Eriksson JG, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001; 344: 1343–50. 40 Knowler WC, Fowler SE, Hamman RF, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009; 374: 1677–86. 41 Soleymani T, Daniel S, Garvey WT. Weight maintenance: challenges, tools and strategies for primary care physicians. Obes Rev 2016; 17: 81–93. 42 WHO. Double-duty actions for nutrition: policy brief. Geneva: World Health Organization, 2017. 43 Hawkes C, Demaio AR, Branca F. Double-duty actions for ending malnutrition within a decade. Lancet Glob Health 2017; 5: e745–46. 44 Thachil J. Iron deficiency: still under-diagnosed? Br J Hosp Med (Lond) 2015; 76: 528–32. 45 Office of Disease Prevention and Health Promotion. Nutrition and weight status. NWS-21 Reduce iron deficiency among young children and females of childbearing age. Washington, DC: Healthy People 2020. https://www.healthypeople.gov/2020/topicsobjectives/topic/nutrition-and-weight-status/objectives (accessed May 13, 2018). 46 Ramsay LC, Charles CV. Review of iron supplementation and fortification. In: Topics in Public Health. InTechOpen, 2015. https://www.intechopen.com/books/topics-in-public-health/reviewof-iron-supplementation-and-fortification (accessed Sept 15, 2018). 47 Baltussen R, Knai C, Sharan M. Iron fortification and iron supplementation are cost-effective interventions to reduce iron deficiency in four subregions of the world. J Nutr 2004; 134: 2678–84. 48 Finkelstein JL, Haas JD, Mehta S. Iron-biofortified staple food crops for improving iron status: a review of the current evidence. Curr Opin Biotechnol 2017; 44: 138–45. 49 WHO. Dengue and severe dengue. Geneva: World Health Organization, 2018. http://www.who.int/news-room/fact-sheets/ detail/dengue-and-severe-dengue (accessed May 13, 2018). 50 WHO. Revised SAGE recommendation on use of dengue vaccine. Geneva: World Health Organization, 2018. http://www.who.int/ immunization/diseases/dengue/revised_SAGE_recommendations_ dengue_vaccines_apr2018/en/ (accessed May 13, 2018). 51 Sommerfeld J, Kroeger A. Innovative community-based vector control interventions for improved dengue and Chagas disease prevention in Latin America: introduction to the special issue. Trans R Soc Trop Med Hyg 2015; 109: 85–88. 52 Idele P, Gillespie A, Porth T, et al. Epidemiology of HIV and AIDS among adolescents: current status, inequities, and data gaps. J Acquir Immune Defic Syndr 2014; 66 (suppl 2): S144–53. 53 UNICEF. Immunization. UNICEF DATA, 2018. https://data.unicef. org/topic/child-health/immunization/ (accessed May 13, 2018). 54 Mahy M, Penazzato M, Ciaranllo A, et al. Improving estimates of children living with HIV from the spectrum AIDS impact model. AIDS 2017; 31: S13 –22. https://journals.lww.com/aidsonline/ Fulltext/2017/04001/Improving_estimates_of_children_living_with_ HIV.3.aspx (accessed Aug 30, 2018).spa
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