IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v59y2004i7p1339-1353.html
   My bibliography  Save this article

Social inequality and depressive disorders in Bahia, Brazil: interactions of gender, ethnicity, and social class

Author

Listed:
  • Almeida-Filho, Naomar
  • Lessa, Ines
  • Magalhães, Lucélia
  • Araújo, Maria Jenny
  • Aquino, Estela
  • James, Sherman A.
  • Kawachi, Ichiro

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.

Suggested Citation

  • Almeida-Filho, Naomar & Lessa, Ines & Magalhães, Lucélia & Araújo, Maria Jenny & Aquino, Estela & James, Sherman A. & Kawachi, Ichiro, 2004. "Social inequality and depressive disorders in Bahia, Brazil: interactions of gender, ethnicity, and social class," Social Science & Medicine, Elsevier, vol. 59(7), pages 1339-1353, October.
  • Handle: RePEc:eee:socmed:v:59:y:2004:i:7:p:1339-1353
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(03)00645-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adrian Mundt & T Kliewe & S Yayla & Y Ignatyev & MA Busch & H Heimann & A Heinz & MA Rapp & M Schouler-Ocak & A Ströhle & MC Aichberger, 2014. "Social characteristics of psychological distress in disadvantaged areas of Berlin," International Journal of Social Psychiatry, , vol. 60(1), pages 75-82, February.
    2. Eleonora Trappolini & Cristina Giudici, 2021. "Gendering health differences between nonmigrants and migrants by duration of stay in Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(7), pages 221-258.
    3. Perreira, Krista M. & Telles, Edward E., 2014. "The color of health: Skin color, ethnoracial classification, and discrimination in the health of Latin Americans," Social Science & Medicine, Elsevier, vol. 116(C), pages 241-250.
    4. Morasae, Esmaeil Khedmati & Forouzan, Ameneh Setareh & Asadi-Lari, Mohsen & Majdzadeh, Reza, 2012. "Revealing mental health status in Iran's capital: Putting equity and efficiency together," Social Science & Medicine, Elsevier, vol. 75(3), pages 531-537.
    5. Malmusi, Davide & Borrell, Carme & Benach, Joan, 2010. "Migration-related health inequalities: Showing the complex interactions between gender, social class and place of origin," Social Science & Medicine, Elsevier, vol. 71(9), pages 1610-1619, November.
    6. Judith EB van der Waerden & Cees Hoefnagels & Clemens MH Hosman & Maria WJ Jansen, 2014. "Defining subgroups of low socioeconomic status women at risk for depressive symptoms: The importance of perceived stress and cumulative risks," International Journal of Social Psychiatry, , vol. 60(8), pages 772-782, December.
    7. Verónica Amarante & Martín Brun & Cecilia Rossel, 2020. "Poverty and inequality in Latin America’s research agenda: A bibliometric review," Development Policy Review, Overseas Development Institute, vol. 38(4), pages 465-482, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:59:y:2004:i:7:p:1339-1353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.