Community disaster exposure and first onset of depression: A panel analysis of nationally representative South African data, 2008-2017.

Journal: PLOS climate

Volume: 1

Issue: 4

Year of Publication: 

Affiliated Institutions:  Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa. School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa. School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa. Institute of Health Research, University of Exeter, Exeter, United Kingdom. Centre for Transformative Agricultural and Food Systems, School of Agriculture, Earth and Environmental Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa. School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa.

Abstract summary 

Sub-Saharan Africa faces unprecedented disasters, with climate change expected to exacerbate the frequency and severity of unpredictable and stressful catastrophic events. Unlike developed nations, reconstruction in developing nations is hindered by resource constraints, with certain communities potentially experiencing multiple and enduring effects of disasters. Despite the potential danger of such cumulative community disaster exposure on mental health (e.g. depression), large-scale population-level evidence for the region is limited. We investigated the association between exposure to cumulative disaster and the first onset of depression in a nationally representative survey in South Africa. We used panel data from the South African National Income Dynamics Study (SA-NIDS) from 2008-2017, consisting of 17,255 adult study participants who were depression free at baseline. Risk of first depression onset between individuals exposed and unexposed to community disaster was measured, accounting for multiple disaster exposure over time by fitting generalized estimating equation (GEE) regression models. Data on the geographic location of disasters were obtained from the South African government gazette, and mapped with the government delineated SA-NIDS households' locations. Of the sampled individuals, 2,986 were exposed to disaster during the study duration (17.3%). Increased cumulative community disaster was significantly associated with the likelihood of depression onset (adjusted relative risk [aRR] = 1.20, p<0.01, 95% CI: 1.09-1.33), even after controlling for socio-demographic factors. In sub-group analyses, greater likelihood of depression onset was found among females [but not in men] (aRR = 1.23, p<0.01, 95% CI: 1.09-1.38), Black African [but not in other population group] (aRR = 1.21, p<0.01, 95% CI: 1.09-1.36), lower education attainment group [but not in tertiary and above educational attainment group] (aRR = 1.20, p<0.01, 95% CI: 1.08-1.33), and lower income attainment group [but not in the top income quartile group] (aRR = 1.24, p<0.01, 95% CI: 1.11-1.38), due to cumulative community disaster. Although cumulative community disaster exposure was significantly associated with the first onset of depression, its negative impact may be more pronounced among individuals considered chronically socially vulnerable (i.e. the groups above) in South Africa. Given that many individuals in South Africa rely on social, food parcel relief, and health services from government/public sector, timely access to community-based supportive intervention is needed for disaster survivors, prioritizing socially vulnerable groups to help mitigate problems associated with mental health challenges.

Authors & Co-authors:  Tomita Andrew A Ncama Busisiwe P BP Moodley Yoshan Y Davids Rashieda R Burns Jonathan K JK Mabhaudhi Tafadzwanashe T Modi Albert T AT Slotow Rob R

Study Outcome 

Source Link: Visit source

Statistics
Citations :  World Health Organization. Disasters and emergencies: Definition. [accessed September 21,2021]. Accessed from https://apps.who.int/disasters/repo/7656.pdf.
Authors :  8
Identifiers
Doi : 0000024
SSN : 2767-3200
Study Population
Females
Mesh Terms
Other Terms
Study Design
Cross Sectional Study
Study Approach
Country of Study
South Africa
Publication Country
United States