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The Association Between Socioeconomic Status and Adult Mortality in a Developing Country: Evidence From a Nationally Representative Longitudinal Survey of Indonesian Adults.


ABSTRACT: OBJECTIVES:To estimate the association between socioeconomic status (SES) and adult mortality in Indonesia and determine the contribution of adult behavioral risk factors to SES differences in mortality. METHODS:Discrete failure-time regression models and period life tables were used to estimate life expectancy at age 30 (e30) across wealth and consumption groups by sex and urban/rural residence. RESULTS:For urban men, e30 increases by an average of 1.10 years per wealth quartile (p = .014) from 38.7 years (95% confidence interval (CI): 37.4-40.5) in the bottom wealth quartile to 42.1 years (95% CI: 40.3-44.1) in the top quartile; for rural men, e30 increases by an average of 1.35 years per quartile (p = .007) from 40.6 years (95% CI: 39.2-42.5) in the bottom wealth quartile to 44.3 years (95% CI: 42.4-46.6) in the top quartile. SES differences are smaller for women. Behavioral risk factors are inconsistently patterned across SES and do not explain SES differences in mortality. DISCUSSION:The associations between SES and adult life expectancy in Indonesia are moderate when compared with developed countries and are not explained by traditional behavioral risk factors. In a context where behavioral risk factors are inconsistent across SES groups, mortality inequality may be driven by inequalities in health care access or other social factors.

SUBMITTER: Sudharsanan N 

PROVIDER: S-EPMC6377031 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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The Association Between Socioeconomic Status and Adult Mortality in a Developing Country: Evidence From a Nationally Representative Longitudinal Survey of Indonesian Adults.

Sudharsanan Nikkil N  

The journals of gerontology. Series B, Psychological sciences and social sciences 20190201 3


<h4>Objectives</h4>To estimate the association between socioeconomic status (SES) and adult mortality in Indonesia and determine the contribution of adult behavioral risk factors to SES differences in mortality.<h4>Methods</h4>Discrete failure-time regression models and period life tables were used to estimate life expectancy at age 30 (e30) across wealth and consumption groups by sex and urban/rural residence.<h4>Results</h4>For urban men, e30 increases by an average of 1.10 years per wealth qu  ...[more]

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