A spatial epidemiological analysis of self-rated mental health in the slums of Dhaka

Oliver Gruebner, Mobarak H. Khan, Sven Lautenbach, Daniel Müller, Alexander Kraemer, Tobia Maike Lakes and Patrick Hostert

EconStor Open Access Articles and Book Chapters, 2011, vol. 10, 1-15

Abstract: BACKGROUND: The deprived physical environments present in slums are well-known to have adverse health effects on their residents. However, little is known about the health effects of the social environments in slums. Moreover, neighbourhood quantitative spatial analyses of the mental health status of slum residents are still rare. The aim of this paper is to study self-rated mental health data in several slums of Dhaka, Bangladesh, by accounting for neighbourhood social and physical associations using spatial statistics. We hypothesised that mental health would show a significant spatial pattern in different population groups, and that the spatial patterns would relate to spatially-correlated health-determining factors (HDF). METHODS: We applied a spatial epidemiological approach, including non-spatial ANOVA/ANCOVA, as well as global and local univariate and bivariate Moran's I statistics. The WHO-5 Well-being Index was used as a measure of self-rated mental health. RESULTS: We found that poor mental health (WHO-5 scores

Keywords: spatial autocorrelation; spatial cluster; housing quality; urban slum; slum settlement (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:176702

DOI: 10.1186/1476-072X-10-36

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