Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019

Detalhes bibliográficos
Autor(a) principal: Celia Landmann Szwarcwald
Data de Publicação: 2022
Outros Autores: Wanessa da Silva de Almeida, Paulo Roberto Borges de Souza Júnior, Jéssica Muzy Rodrigues, Dalia Elena Romero
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8115
Resumo: The growth in longevity in Brazil has drawn attention to more useful population health measures to complement mortality. In this paper, we investigate socio-spatial differences in life expectancy and healthy life expectancy based on information from the Brazilian National Health Survey (PNS), 2013 and 2019. A three-stage cluster sampling with stratification of the primary sampling units and random selection in all stages was used in both PNS editions. Healthy life expectancy was estimated by Sullivan’s method by sex, age, and Federated Units (UF). Severe limitations to at least one noncommunicable chronic disease (NCD) or poor self-rated health were used to define the unhealthy state. Inequality indicators and a Principal Component analysis were used to investigate socio-spatial inequalities. From 2013 to 2019, both life expectancy and healthy life expectancy increased. The analysis by UF show larger disparities in healthy life expectancy than in life expectancy, with healthy life expectancy at age 60 varying from 13.6 to 19.9 years, in 2013, and from 14.9 to 20.1, in 2019. Healthy life expectancy in the wealthiest quintile was 20% longer than for those living in the poorest quintile. Wide socio-spatial disparities were found with the worst indicators in the UF located in the North and Northeast regions, whether considering poverty concentration or health care utilization. The socio-spatial inequalities demonstrated the excess burden of poor health experienced by older adults living in the less developed UF. The development of strategies at subnational levels is essential not only to provide equal access to health care but also to reduce risk exposures and support prevention policies for adoption of health behaviors.
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spelling Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019Life ExpectancyHealth Status DisparitiesHealth SurveysThe growth in longevity in Brazil has drawn attention to more useful population health measures to complement mortality. In this paper, we investigate socio-spatial differences in life expectancy and healthy life expectancy based on information from the Brazilian National Health Survey (PNS), 2013 and 2019. A three-stage cluster sampling with stratification of the primary sampling units and random selection in all stages was used in both PNS editions. Healthy life expectancy was estimated by Sullivan’s method by sex, age, and Federated Units (UF). Severe limitations to at least one noncommunicable chronic disease (NCD) or poor self-rated health were used to define the unhealthy state. Inequality indicators and a Principal Component analysis were used to investigate socio-spatial inequalities. From 2013 to 2019, both life expectancy and healthy life expectancy increased. The analysis by UF show larger disparities in healthy life expectancy than in life expectancy, with healthy life expectancy at age 60 varying from 13.6 to 19.9 years, in 2013, and from 14.9 to 20.1, in 2019. Healthy life expectancy in the wealthiest quintile was 20% longer than for those living in the poorest quintile. Wide socio-spatial disparities were found with the worst indicators in the UF located in the North and Northeast regions, whether considering poverty concentration or health care utilization. The socio-spatial inequalities demonstrated the excess burden of poor health experienced by older adults living in the less developed UF. The development of strategies at subnational levels is essential not only to provide equal access to health care but also to reduce risk exposures and support prevention policies for adoption of health behaviors.El crecimiento de la longevidad en Brasil ha atraído la atención sobre medidas de salud más útiles para la población, con el fin de complementar la mortalidad. En este trabajo, investigamos diferencias socioespaciales en la esperanza de vida y esperanza de vida saludable, basadas en la información de la Encuesta Nacional de Salud (PNS), de 2013 y 2019. Se utilizó en ambas ediciones de la PNS un muestreo por conglomerados en 3 etapas con estratificación de las unidades de muestreo primarias y una selección aleatoria en todas las etapas. La esperanza de vida saludable se estimó por el método de Sullivan por sexo, edad, y Unidades Federadas (UF). Se usaron limitaciones graves para al menos una enfermedad crónica no transmisible (ECNT) o mala salud autoevaluada para definir un estado de mala salud. Los indicadores de Desigualdad y el análisis de Componente Principal se usaron para investigar desigualdades socioespaciales. De 2013 a 2019, hubo un incremento tanto en la esperanza de vida, como en la esperanza de vida saludable. El análisis por UF mostró disparidades mayores en la esperanza de vida saludable que en la esperanza de vida, con una esperanza de vida saludable a la edad de 60 años, variando desde los 13.6 a los 19.9 años, en 2013, y desde los 14.9 a los 20.1, en 2019. La esperanza de una vida saludable en el quintil más rico fue un 20% más larga que aquellos que vivían en el quintil más pobre. Se encontraron grandes disparidades socioespaciales con los peores indicadores en las UF localizadas en las regiones Norte y Nordeste, teniendo en consideración concentración de la pobreza o utilización de los servicios de salud. Las desigualdades socioespaciales demostraron la carga excesiva de la mala salud vivida por los ancianos que vivían en UF menos desarrolladas. El desarrollo de estrategias a niveles subnacionales es esencial no solo para proporcionar un acceso igualitario a la salud, pero también para reducir el riesgo de exposición y apoyar las políticas de prevención para la adopción de comportamiento de salud.O aumento da longevidade no Brasil tem chamado atenção para a necessidade de medidas mais úteis de saúde populacional, para complementar o índice de mortalidade. Os autores investigam diferenças socioespaciais na expectativa de vida e na esperança de vida saudável, com base em dados da Pesquisa Nacional de Saúde (PNS), edições de 2013 e 2019. Em ambas as edições da PNS, foi utilizada amostragem de clusters em três estágios, com estratificação das unidades amostrais primárias e seleção randômica em todos os estágios. A esperança de vida saudável foi estimada pelo método de Sullivan, de acordo com o sexo, idade e Unidade da Federação (UF). Limitações graves em função de pelo menos uma doença crônica não transmissível (DCNT) ou autoavaliação de saúde ruim foram utilizadas para definir o estado não saudável. Foram usados indicadores de desigualdade e análises de componentes principais para investigar as desigualdades socioespaciais. Entre 2013 e 2019, houve aumento na expectativa de vida e na esperança de vida saudável. A análise por UF mostrou disparidades maiores na esperança de vida saudável comparada com a expectativa de vida, onde a esperança de vida saudável aos 60 anos variava de 13,6 a 19,9 anos em 2013, e de 14,9 a 20,1 em 2019. A esperança de vida saudável no quintil mais rico foi 20% maior, comparado com o quintil mais pobre. Foram identificadas disparidades socioespaciais grandes, com os piores indicadores nas UFs localizadas nas regiões Norte e Nordeste, tanto de acordo com a concentração de pobreza ou pela utilização de serviços de saúde. As desigualdades socioespaciais demonstraram o excesso de carga de vida não saudável vivenciada por idosos vivendo nas UFs brasileiras menos desenvolvidas. O desenvolvimento de estratégias nos níveis subnacionais é essencial, não apenas para prover acesso igualitário aos cuidados de saúde, como também, para reduzir a exposição aos riscos e para apoiar políticas de prevenção, voltadas para a adoção de comportamentos de saúde.Reports in Public HealthCadernos de Saúde Pública2022-05-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8115Reports in Public Health; Vol. 38 No. 13 (2022): Supplement 1Cadernos de Saúde Pública; v. 38 n. 13 (2022): Suplemento 11678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8115/18194https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8115/18195Celia Landmann SzwarcwaldWanessa da Silva de AlmeidaPaulo Roberto Borges de Souza JúniorJéssica Muzy RodriguesDalia Elena Romeroinfo:eu-repo/semantics/openAccess2024-03-06T15:30:23Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/8115Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:09:18.337332Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
title Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
spellingShingle Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
Celia Landmann Szwarcwald
Life Expectancy
Health Status Disparities
Health Surveys
title_short Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
title_full Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
title_fullStr Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
title_full_unstemmed Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
title_sort Socio-spatial inequalities in healthy life expectancy in the elderly, Brazil, 2013 and 2019
author Celia Landmann Szwarcwald
author_facet Celia Landmann Szwarcwald
Wanessa da Silva de Almeida
Paulo Roberto Borges de Souza Júnior
Jéssica Muzy Rodrigues
Dalia Elena Romero
author_role author
author2 Wanessa da Silva de Almeida
Paulo Roberto Borges de Souza Júnior
Jéssica Muzy Rodrigues
Dalia Elena Romero
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Celia Landmann Szwarcwald
Wanessa da Silva de Almeida
Paulo Roberto Borges de Souza Júnior
Jéssica Muzy Rodrigues
Dalia Elena Romero
dc.subject.por.fl_str_mv Life Expectancy
Health Status Disparities
Health Surveys
topic Life Expectancy
Health Status Disparities
Health Surveys
description The growth in longevity in Brazil has drawn attention to more useful population health measures to complement mortality. In this paper, we investigate socio-spatial differences in life expectancy and healthy life expectancy based on information from the Brazilian National Health Survey (PNS), 2013 and 2019. A three-stage cluster sampling with stratification of the primary sampling units and random selection in all stages was used in both PNS editions. Healthy life expectancy was estimated by Sullivan’s method by sex, age, and Federated Units (UF). Severe limitations to at least one noncommunicable chronic disease (NCD) or poor self-rated health were used to define the unhealthy state. Inequality indicators and a Principal Component analysis were used to investigate socio-spatial inequalities. From 2013 to 2019, both life expectancy and healthy life expectancy increased. The analysis by UF show larger disparities in healthy life expectancy than in life expectancy, with healthy life expectancy at age 60 varying from 13.6 to 19.9 years, in 2013, and from 14.9 to 20.1, in 2019. Healthy life expectancy in the wealthiest quintile was 20% longer than for those living in the poorest quintile. Wide socio-spatial disparities were found with the worst indicators in the UF located in the North and Northeast regions, whether considering poverty concentration or health care utilization. The socio-spatial inequalities demonstrated the excess burden of poor health experienced by older adults living in the less developed UF. The development of strategies at subnational levels is essential not only to provide equal access to health care but also to reduce risk exposures and support prevention policies for adoption of health behaviors.
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dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 38 No. 13 (2022): Supplement 1
Cadernos de Saúde Pública; v. 38 n. 13 (2022): Suplemento 1
1678-4464
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reponame:Cadernos de Saúde Pública
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reponame_str Cadernos de Saúde Pública
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