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Publications [#277792] of Sherman A. James

Journal Articles

  1. Almeida-Filho, N; Lessa, I; Magalhães, L; Araújo, MJ; Aquino, E; James, SA; Kawachi, I, Social inequality and depressive disorders in Bahia, Brazil: interactions of gender, ethnicity, and social class., Social science & medicine (1982), vol. 59 no. 7 (October, 2004), pp. 1339-1353 [doi]
    (last updated on 2024/03/28)

    Abstract:
    We conducted a study of the association between gender, race/ethnicity, and social class and prevalence of depressive disorders in an urban sample (N = 2302) in Bahia, Brazil. Individual mental health status was assessed by the PSAD/QMPA scale. Family SES and head of household's schooling and occupation were taken as components for a 4-level social class scale. Race/ethnicity (white, moreno, mulatto, black) was assessed with a combination of self-designation and a system of racial classification. The overall 12-month prevalence of depressive symptoms was 12%, with a female:male ratio of 2:1. Divorced/widowed persons showed the highest prevalence and single the lowest. There was a negative correlation with education: the ratio college educated:illiterate was 4:1. This gradient was stronger for women than men. There was no F:M difference in depression among Whites, upper-middle classes, college-educated, or illiterate. Prevalence ratios for single, widowed and Blacks were well above the overall pattern. Regarding race/ethnicity, higher prevalences of depression were concentrated in the Moreno and Mulatto subgroups. There was a consistent social class and gender interaction, along all race/ethnicity strata. Three-way interaction analyses found strong gender effect for poor and working-class groups, for all race/ethnicity strata but Whites. Black poor yielded the strongest gender effect of all (up to nine-fold). We conclude that even in a highly unequal context such as Bahia, Blacks, Mulattos and women were protected from depression by placement into the local dominant classes; and that the social meaning of ethnic-gender-generation diversity varies with being unemployed or underemployed, poor or miserable, urban or rural, migrant or non-migrant.


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