Evidence map›Paper›PMID 25642654›Full record

ArticleThe American journal of orthopsychiatry2015

A multilevel analysis of the relationship between neighborhood social disorder and depressive symptoms: evidence from the South African National Income Dynamics Study.

Andrew Tomita, Charlotte A Labys, Jonathan K Burns

Abstract read
In one paragraph

Article in The American journal of orthopsychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

3 authors.

Andrew TomitaDepartment of Psychiatry, University of KwaZulu-Natal.
Charlotte A LabysDepartment of Psychiatry, University of KwaZulu-Natal.
Jonathan K BurnsDepartment of Psychiatry, University of KwaZulu-Natal.

Funding

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 R25 TW009337
6 · The paper itself

Abstract

The apartheid regime that governed South Africa from 1948-1994 established spatial segregation that is understood to have contributed to the magnitude of neighborhood social disorder in the postapartheid era. Although a number of neighborhood social disorder characteristics, such as perceived violence and crime in the community, are prominent issues in South Africa, the extent to which these perceived spatial attributes are linked to depression is unknown at the population level. Multilevel modeling of data from the second wave of the South African National Income Dynamics Study (SA-NIDS) was utilized to examine the relationship between depressive symptomatology and neighborhood social disorder as indicated by the perceived frequency of violent, criminal and illicit activities in the community. Depressive symptomatology was assessed using the 10-item version of the Center for Epidemiologic Studies Depression Scale. A cut-off score of 10 or higher was used to indicate the presence of significant depressive symptomatology. Results showed that perception of neighborhood social disorder was independently associated with significant levels of depressive symptomatology. Gender, race or ethnicity, perceived health status, and education were significant for individual-level covariates of depression. Community intervention strategies that reduce the risk of neighborhood disorganization and emphasize positive social norms in the neighborhood are warranted. Taking into account the residential deracialization of a country transitioning from apartheid to nonracial democracy, a longitudinal spatial study design assessing the dynamics between depression and the aforementioned perceptions of neighborhood attributes may also be warranted.

Indexed as

Social ProblemsAdolescentAdultBlack PeopleCrimeDepressionFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedMultilevel AnalysisResidence CharacteristicsSocial SupportSouth Africa

Identifiers

PMID25642654
PMCPMC4322132

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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.