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

Detalhes bibliográficos
Autor(a) principal: World Health Organization. Global Burden of Disease
Data de Publicação: 2017
Outros Autores: Wang, Haidong, Duncan, Bruce Bartholow, Kieling, Christian Costa, Schmidt, Maria Inês, Murray, Christopher J. L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/201455
Resumo: Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15–60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled.
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spelling World Health Organization. Global Burden of DiseaseWang, HaidongDuncan, Bruce BartholowKieling, Christian CostaSchmidt, Maria InêsMurray, Christopher J. L.2019-11-08T03:44:24Z20170140-6736http://hdl.handle.net/10183/201455001075241Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15–60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled.application/pdfengThe Lancet. London. Vol. 390, no. 10100 (Sept. 2017), p. 1084-1150Saúde globalMortalidadeExpectativa de vidaGlobal, 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 2016Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001075241.pdf.txt001075241.pdf.txtExtracted Texttext/plain330885http://www.lume.ufrgs.br/bitstream/10183/201455/2/001075241.pdf.txte8f55b3727a533ebbd0ad4a9e2ebd796MD52ORIGINAL001075241.pdfTexto completo (inglês)application/pdf8107849http://www.lume.ufrgs.br/bitstream/10183/201455/1/001075241.pdfd09da67cf0d08b2ddf52bb7f924c2ee4MD5110183/2014552019-11-09 04:51:38.221919oai:www.lume.ufrgs.br:10183/201455Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-11-09T06:51:38Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv 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
title 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
spellingShingle 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
World Health Organization. Global Burden of Disease
Saúde global
Mortalidade
Expectativa de vida
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
author World Health Organization. Global Burden of Disease
author_facet World Health Organization. Global Burden of Disease
Wang, Haidong
Duncan, Bruce Bartholow
Kieling, Christian Costa
Schmidt, Maria Inês
Murray, Christopher J. L.
author_role author
author2 Wang, Haidong
Duncan, Bruce Bartholow
Kieling, Christian Costa
Schmidt, Maria Inês
Murray, Christopher J. L.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv World Health Organization. Global Burden of Disease
Wang, Haidong
Duncan, Bruce Bartholow
Kieling, Christian Costa
Schmidt, Maria Inês
Murray, Christopher J. L.
dc.subject.por.fl_str_mv Saúde global
Mortalidade
Expectativa de vida
topic Saúde global
Mortalidade
Expectativa de vida
description Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15–60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled.
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dc.relation.ispartof.pt_BR.fl_str_mv The Lancet. London. Vol. 390, no. 10100 (Sept. 2017), p. 1084-1150
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