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Inequalities in healthy life expectancy by Federated States

Overview of attention for article published in Revista de Saúde Pública, June 2017
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Title
Inequalities in healthy life expectancy by Federated States
Published in
Revista de Saúde Pública, June 2017
DOI 10.1590/s1518-8787.2017051000105
Pubmed ID
Authors

Célia Landmann Szwarcwald, Dália Elena Romero Montilla, Aline Pinto Marques, Giseli Nogueira Damacena, Wanessa da Silva de Almeida, Deborah Carvalho Malta

Abstract

To estimate the healthy life expectancy at 60 years by sex and Federated States and to investigate geographical inequalities by socioeconomic status. Healthy life expectancy was estimated by the Sullivan method, based on the information of the National Survey on Health, 2013. Three criteria were adopted for the definition of "unhealthy state": self-assessment of bad health, functionality for performing the activities of daily living, and the presence of noncommunicable disease with intense degree of limitation. The indicator of socioeconomic status was built based on the number of goods at household and educational level of the head of household. To analyze the geographical inequalities and socioeconomic level, inequality measures were calculated, such as the ratio, the difference, and the angular coefficient. Healthy life expectancy among men ranged from 13.8 (Alagoas) to 20.9 (Espírito Santo) for the self-assessment criterion of bad health. Among women, the corresponding estimates were always higher and ranged from 14.9 (Maranhão) to 22.2 (São Paulo). As to the ratio of inequality by Federated State, the medians were always higher for healthy life expectancy than for life expectancy, regardless of the definition adopted for healthy state. Regarding the differences per Federated State, the healthy life expectancy was seven years higher in one state than in another. By socioeconomic status, differences of three and four years were found, approximately, between the last and first fifth, for men and women, respectively. Despite the association of the mortality indicators with living conditions, the inequalities are even more pronounced when the welfare and the limitations in usual activities are considered, showing the necessity to promote actions and programs to reduce the socio-spatial gradient. Estimar a esperança de vida saudável aos 60 anos por sexo e Unidade da Federação e investigar as desigualdades geográficas e por nível socioeconômico. A esperança de vida saudável foi estimada pelo método de Sullivan, com base nas informações da Pesquisa Nacional de Saúde, 2013. Foram adotados três critérios para definição de estado "não saudável": autoavaliação de saúde ruim, funcionalidade para realização das atividades da vida diária, e presença de doença crônica não transmissível com grau intenso de limitação. O indicador de nível socioeconômico foi construído com base no número de bens no domicílio e grau de escolaridade do responsável. Para analisar as desigualdades geográficas e por nível socioeconômico, foram calculadas medidas de desigualdade, como a razão, a diferença e o coeficiente angular. A esperança de vida saudável entre os homens variou de 13,8 (Alagoas) a 20,9 (Espírito Santo) para o critério de autoavaliação de saúde ruim. Entre as mulheres, as estimativas correspondentes foram sempre mais altas e variaram de 14,9 (Maranhão) a 22,2 (São Paulo). Quanto à razão de desigualdades por Unidade da Federação, as medianas foram sempre maiores para a esperança de vida saudável do que para a esperança de vida, independentemente da definição adotada para estado saudável. Quanto às diferenças por Unidade da Federação, a esperança de vida saudável chegou a ser sete anos maior em um estado do que em outro. Por nível socioeconômico, foram encontradas diferenças de três e quatro anos, aproximadamente, entre os últimos e primeiro quintos, para homens e mulheres, respectivamente. Além de os indicadores de mortalidade estarem associados às condições de vida, as desigualdades são ainda mais pronunciadas quando o bem-estar e as limitações nas atividades habituais são levados em consideração, mostrando a necessidade de promover ações e programas para diminuir o gradiente socioespacial.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Researcher 8 13%
Student > Ph. D. Student 7 11%
Student > Bachelor 5 8%
Other 3 5%
Other 11 18%
Unknown 17 27%
Readers by discipline Count As %
Nursing and Health Professions 11 18%
Medicine and Dentistry 7 11%
Social Sciences 7 11%
Agricultural and Biological Sciences 2 3%
Economics, Econometrics and Finance 2 3%
Other 11 18%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Revista de Saúde Pública
#868
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Outputs of similar age
#239,358
of 330,503 outputs
Outputs of similar age from Revista de Saúde Pública
#25
of 30 outputs
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So far Altmetric has tracked 1,138 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.