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Int Health ; 8(6): 413-422, 2016 11.
Article in English | MEDLINE | ID: mdl-27620920

ABSTRACT

BACKGROUND: Employment is a key determinant of health disparity. We examined gender-specific relationships between employment status and health outcomes among Brazilian adults. METHODS: Nationally representative data (n=463 223) came from the 2003 and 2008 Brazilian National Household Surveys. Logistic regressions were performed to estimate gender-specific associations between employment status and health outcomes. RESULTS: Compared with employed counterparts, the odds of depression were higher among unemployed men (AOR 2.04; 95% CI 1.80-2.32) and women (AOR 1.60; 95% CI 1.49-1.72). Economically inactive men were more likely to report depression than their employed counterparts (AOR 3.33; 95% CI 3.08-3.59), whereas the effect was smaller for economically inactive women (AOR 2.24; 95% CI 1.19-1.29). Compared with their employed counterparts, the odds of functional limitation were higher among economically inactive men (AOR 6.61; 95% CI 5.90-7.41) and women (AOR 1.95; 95% CI 1.83-2.08). The odds of very poor or poor self-rated health were higher among economically inactive men (AOR 4.58; 95% CI 4.28-4.90) and women (AOR 1.53; 95% CI 1.44-1.62) than among employed counterparts. Unemployed men were more likely to report poor health compared with those employed (AOR 1.26; 95% CI 1.09-1.46); whereas no difference in very poor or poor self-rated health was found between employed and unemployed women. CONCLUSIONS: Employment was associated with better health outcomes among Brazilian adults. Policies should also facilitate access to preventive services and adequate treatment to those inactive or unemployed.


Subject(s)
Depression/epidemiology , Depressive Disorder/epidemiology , Employment , Health Status , Activities of Daily Living , Adult , Brazil/epidemiology , Disabled Persons , Family Characteristics , Female , Health Status Disparities , Humans , Logistic Models , Male , Odds Ratio , Prevalence , Self Report , Sex Factors , Surveys and Questionnaires , Unemployment
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