Browsing by Subject "CESD-10"

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    The association between neighbourhood-level deprivation and depression: evidence from the south african national income dynamics study
    (2017) Dowdall, Nicholas; Ward, Catherine L; Lund, Crick
    BACKGROUND: Depression contributes substantially to the burden of disease in South Africa. Little is known about how neighbourhoods affect the mental health of the people living in them. METHODS: Using nationally representative data (N=11,955) from the South African National Income Dynamics Study and the South African Indices of Multiple Deprivation (SAIMD) modelled at small-area level, this study tested associations between neighbourhood-level deprivation and depression, after controlling for individual-level covariates. RESULTS: Results showed a significant positive association between neighbourhood-level deprivation and depression using the composite SAIMD (β = 0.31 (0.15); p=0.04) as well as the separate deprivation domains. Living environment deprivation (β =0.53 (0.16); p=0.001) and employment deprivation (β = 0.38 (0.13); p=0.004), respectively, were the two most salient domains in predicting this relationship. CONCLUSIONS: Findings supported the hypothesis that there is a positive association between living in a more deprived neighbourhood and depression, even after controlling for individual-level covariates. This study suggests that alleviating structural poverty could reduce the burden of depression in South Africa.
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    Open Access
    The association between neighbourhood-level deprivation and depression: evidence from the south african national income dynamics study
    (BioMed Central, 2017-12-11) Dowdall, Nicholas; Ward, Catherine L; Lund, Crick
    Background: Depression contributes substantially to the burden of disease in South Africa. Little is known about how neighbourhoods affect the mental health of the people living in them. Methods: Using nationally representative data (N=11,955) from the South African National Income Dynamics Study and the South African Indices of Multiple Deprivation (SAIMD) modelled at small-area level, this study tested associations between neighbourhood-level deprivation and depression, after controlling for individual-level covariates. Results: Results showed a significant positive association between neighbourhood-level deprivation and depression using the composite SAIMD (β = 0.31 (0.15); p=0.04) as well as the separate deprivation domains. Living environment deprivation (β =0.53 (0.16); p=0.001) and employment deprivation (β = 0.38 (0.13); p=0.004), respectively, were the two most salient domains in predicting this relationship. Conclusions: Findings supported the hypothesis that there is a positive association between living in a more deprived neighbourhood and depression, even after controlling for individual-level covariates. This study suggests that alleviating structural poverty could reduce the burden of depression in South Africa.