Evidence map›Paper›PMID 37720892›Full record

ArticlePLOS climate2022

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

Andrew Tomita, Busisiwe P Ncama, Yoshan Moodley, Rashieda Davids, Jonathan K Burns, Tafadzwanashe Mabhaudhi, Albert T Modi, Rob Slotow

Abstract read
In one paragraph

Article in PLOS climate, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andrew TomitaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Busisiwe P NcamaSchool of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-8084-4910
Yoshan MoodleySchool of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-4119-1734
Rashieda DavidsSchool of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.ORCID https://orcid.org/0000-0003-4756-4164
Jonathan K BurnsInstitute of Health Research, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0002-4155-2667
Tafadzwanashe MabhaudhiCentre for Transformative Agricultural and Food Systems, School of Agriculture, Earth and Environmental Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.ORCID https://orcid.org/0000-0002-9323-8127
Albert T ModiCentre for Transformative Agricultural and Food Systems, School of Agriculture, Earth and Environmental Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.ORCID https://orcid.org/0000-0002-6887-1721
Rob SlotowSchool of Life Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-9469-1508

Funding

Medical Research Council MR/T029803/1Wellcome Trust 205200
6 · The paper itself

Abstract

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.

Identifiers

PMID37720892
PMCPMC7615093

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.