Evidence map›Paper›PMID 26731114›Full record

ArticlePloS one2016

Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.

Nisha Naicker, Pieter de Jager, Shan Naidoo, Angela Mathee

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Indoor Temperatures in Low Cost Housing in Johannesburg, South Africa.International journal of environmental research and public health · 2017
    Article
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

4 authors.

Nisha NaickerEnvironment & Health Research Unit, South African Medical Research Council, Johannesburg, South Africa.
Pieter de JagerDepartment of Community Medicine, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Shan NaidooDepartment of Community Medicine, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Angela MatheeEnvironment & Health Research Unit, South African Medical Research Council, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLow and middle income countries bear the majority burden of self-harm, yet there is a paucity of evidence detailing risk-factors for self-harm in these populations. This study aims to identify environmental, socio-economic and demographic household-level risk factors for self-harm in five impoverished urban communities in Johannesburg, South Africa.

methodsAnnual serial cross-sectional surveys were undertaken in five impoverished urban communities in Johannesburg for the Health, Environment and Development (HEAD) study. Logistic regression analysis using the HEAD study data (2006-2011) was conducted to identify household-level risk factors associated with self-harm (defined as a self-reported case of a fatal or non-fatal suicide attempt) within the household during the preceding year. Stepwise multivariate logistic regression analysis was employed to identify factors associated with self-harm.

resultsA total of 2 795 household interviews were conducted from 2006 to 2011. There was no significant trend in self-harm over time. Results from the final model showed that self-harm was significantly associated with households exposed to a violent crime during the past year (Adjusted Odds Ratio (AOR) 5.72; 95% CI 1.64-19.97); that have a member suffering from a chronic medical condition (AOR 8.95; 95% 2.39-33.56) and households exposed to indoor smoking (AOR 4.39; CI 95% 1.14-16.47).

conclusionThis study provides evidence on household risk factors of self-harm in settings of urban poverty and has highlighted the potential for a more cost-effective approach to identifying those at risk of self-harm based on household level factors.

Indexed as

Family CharacteristicsHousingCross-Sectional StudiesFemaleHumansMalePovertyRisk FactorsSelf-Injurious BehaviorSocioeconomic FactorsSouth AfricaUrban Population

Identifiers

PMID26731114
PMCPMC4701361

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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.