Spatial clustering of food insecurity and its association with depression: a geospatial analysis of nationally representative South African data, 2008–2015

While food insecurity is a persistent public health challenge, its long-term association with depression at a national level is unknown. We investigated the spatial heterogeneity of food insecurity and its association with depression in South Africa (SA), using nationally-representative panel data f...

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Veröffentlicht in:Scientific reports 2020-08, Vol.10 (1), p.13771, Article 13771
Hauptverfasser: Tomita, Andrew, Cuadros, Diego F., Mabhaudhi, Tafadzwanashe, Sartorius, Benn, Ncama, Busisiwe P., Dangour, Alan D., Tanser, Frank, Modi, Albert T., Slotow, Rob, Burns, Jonathan K.
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Sprache:eng
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Zusammenfassung:While food insecurity is a persistent public health challenge, its long-term association with depression at a national level is unknown. We investigated the spatial heterogeneity of food insecurity and its association with depression in South Africa (SA), using nationally-representative panel data from the South African National Income Dynamics Study (years 2008–2015). Geographical clusters (“hotpots”) of food insecurity were identified using Kulldorff spatial scan statistic in SaTScan. Regression models were fitted to assess association between residing in food insecure hotspot communities and depression. Surprisingly, we found food insecurity hotspots (p 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-70647-1