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Cross-country variation in the sociodemographic factors associated with major depressive episode in Norway, the United Kingdom, Ghana, and Kenya

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  • Ambugo, Eliva A.

Abstract

Studies based on Western samples generally show that status characteristics like gender or marital status are associated with better mental health for individuals who occupy advantageous positions, such as men or the married. However, these patterns may not hold in developing regions that differ in important ways from the West. Guided by the Stress Process Model (SPM), this study uses logistic regression to examine the effect of gender, education, and other status characteristics on major depressive episode (MDE). Similarities and differences in these associations across two Western and two African countries are also assessed. Nationally representative data for adults ages 18 years and older are from the World Health Surveys (2002–2004) for Norway (N = 943), the United Kingdom (UK: N = 1195), Ghana (N = 3922), and Kenya (N = 4331). Results indicate a mixed pattern of associations between status characteristics and MDE across the four countries. Norwegian men face higher risk of MDE than Norwegian women—an anomalous finding. With some exceptions, education and employment status are not significantly related to MDE across the countries, providing little support for SPM. Marital status differences in risk of MDE are largest for Norway and smallest for Ghana. For the UK, men face lower risk of MDE than women across levels of mastery, and the gender gap in MDE is larger at higher levels of mastery. Overall, there is some heterogeneity in the associations between status characteristics and MDE even in somewhat similar environments like Ghana and Kenya. This study extends the reach of SPM to settings in sub-Saharan Africa, and contributes to the sparse empirical literature on the prevalence and sociodemographic correlates of MDE in the general populations of Ghana and Kenya.

Suggested Citation

  • Ambugo, Eliva A., 2014. "Cross-country variation in the sociodemographic factors associated with major depressive episode in Norway, the United Kingdom, Ghana, and Kenya," Social Science & Medicine, Elsevier, vol. 113(C), pages 154-160.
  • Handle: RePEc:eee:socmed:v:113:y:2014:i:c:p:154-160
    DOI: 10.1016/j.socscimed.2014.05.022
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    References listed on IDEAS

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    1. Burgard, Sarah A. & Brand, Jennie E. & House, James S., 2009. "Perceived job insecurity and worker health in the United States," Social Science & Medicine, Elsevier, vol. 69(5), pages 777-785, September.
    2. Power, C. & Stansfeld, S. A. & Matthews, S. & Manor, O. & Hope, S., 2002. "Childhood and adulthood risk factors for socio-economic differentials in psychological distress: evidence from the 1958 British birth cohort," Social Science & Medicine, Elsevier, vol. 55(11), pages 1989-2004, December.
    3. Fuhrer, R. & Stansfeld, S. A., 2002. "How gender affects patterns of social relations and their impact on health: a comparison of one or multiple sources of support from "close persons"," Social Science & Medicine, Elsevier, vol. 54(5), pages 811-825, March.
    4. Cifuentes, Manuel & Sembajwe, Grace & Tak, SangWoo & Gore, Rebecca & Kriebel, David & Punnett, Laura, 2008. "The association of major depressive episodes with income inequality and the human development index," Social Science & Medicine, Elsevier, vol. 67(4), pages 529-539, August.
    5. Strohschein, Lisa & McDonough, Peggy & Monette, Georges & Shao, Qing, 2005. "Marital transitions and mental health: Are there gender differences in the short-term effects of marital status change?," Social Science & Medicine, Elsevier, vol. 61(11), pages 2293-2303, December.
    6. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    7. Leonard I. Pearlin, 2010. "The Life Course and the Stress Process: Some Conceptual Comparisons," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 65(2), pages 207-215.
    8. Eikemo, Terje Andreas & Bambra, Clare & Judge, Ken & Ringdal, Kristen, 2008. "Welfare state regimes and differences in self-perceived health in Europe: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 66(11), pages 2281-2295, June.
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