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Assesses depression symptoms in adults, revealing key health and socio-demographic associations.
The aim of this study was to assess depression symptoms and socio-demographic and health correlates in a recent (2014-2015) national population-based survey of South Africa adults (n = 22 752; females =57 5%; mean age 37 1 years, SD = 17 6) The participants reported on their socio-demographic variables, health statuses, and experience of depression symptoms the previous four weeks About 13% of the sample scored positive for depression symptoms In adjusted logistic regression analysis, being female, older age, being long term sick or disabled, having two or more pain disorders, having been diagnosed with diabetes, and having smoked regularly were associated with high risk for depression symptoms Being a student, having below or average household income, and having exercised three or more times a week was associated with lower risk for depression symptoms.
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Human Sciences Research Council (2026) studied this question.
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