Evidence map›Paper›PMID 30700798›Full record

ArticleScientific reports2019

Spatial structure of depression in South Africa: A longitudinal panel survey of a nationally representative sample of households.

Diego F Cuadros, Andrew Tomita, Alain Vandormael, Rob Slotow, Jonathan K Burns, Frank Tanser

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  10. Depression and Its Phytopharmacotherapy-A Narrative Review.International journal of molecular sciences · 2023
    Review
  11. Perceptions and attitudes of black men in a rural district of South Africa towards depression and its treatment.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
    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

6 authors at 5 institutions in 3 countries.

Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, USA. diego.cuadros@uc.edu.
Andrew TomitaKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Alain VandormaelKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Rob SlotowSchool of Life Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0001-9469-1508
Jonathan K BurnsDepartment of Psychiatry, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0002-4155-2667
Frank TanserSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
University of KwaZulu-Natal · ZAAfrica Health Research Institute · ZAUniversity College London · GBUniversity of Cincinnati · USUniversity of Exeter · GB

Funding

Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
FIC NIH HHS D43 TW009337FIC NIH HHS R25 TW009337Wellcome Trust 205200/Z/16/Z
6 · The paper itself

Abstract

Wider recognition of the mental health burden of disease has increased its importance as a global public health concern. However, the spatial heterogeneity of mental disorders at large geographical scales is still not well understood. Herein, we investigate the spatial distribution of incident depression in South Africa. We assess depressive symptomatology from a large longitudinal panel survey of a nationally representative sample of households, the South African National Income Dynamics Study. We identified spatial clusters of incident depression using spatial scan statistical analysis. Logistic regression was fitted to establish the relationship between clustering of depression and socio-economic, behavioral and disease risk factors, such as tuberculosis. There was substantial geographical clustering of depression in South Africa, with the excessive numbers of new cases concentrated in the eastern part of the country. These clusters overlapped with those of self-reported tuberculosis in the same region, as well as with poorer, less educated people living in traditional rural communities. Herein, we demonstrate, for the first time, spatial structuring of depression at a national scale, with clear geographical 'hotspots' of concentration of individuals reporting new depressive symptoms. Such geographical clustering could reflect differences in exposure to various risk factors, including socio-economic and epidemiological factors, driving or reinforcing the spatial structure of depression. Identification of the geographical location of clusters of depression should inform policy decisions.

Indexed as

Family CharacteristicsSpatial AnalysisCluster AnalysisDepressionGeographyHumansLongitudinal StudiesSouth AfricaSpatio-Temporal AnalysisTuberculosis

Identifiers

PMID30700798
PMCPMC6354020
OpenAlexW2912955299

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.