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

INTRODUCTION:Low 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 fi...

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Main Authors: Nisha Naicker, Pieter de Jager, Shan Naidoo, Angela Mathee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4701361?pdf=render
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spelling doaj-46a78b9535224a759b1b589fb6875c182020-11-25T01:33:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01111e014623910.1371/journal.pone.0146239Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.Nisha NaickerPieter de JagerShan NaidooAngela MatheeINTRODUCTION:Low 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. METHODS:Annual 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. RESULTS:A 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). CONCLUSION:This 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.http://europepmc.org/articles/PMC4701361?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Nisha Naicker
Pieter de Jager
Shan Naidoo
Angela Mathee
spellingShingle Nisha Naicker
Pieter de Jager
Shan Naidoo
Angela Mathee
Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
PLoS ONE
author_facet Nisha Naicker
Pieter de Jager
Shan Naidoo
Angela Mathee
author_sort Nisha Naicker
title Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
title_short Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
title_full Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
title_fullStr Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
title_full_unstemmed Household Factors Associated with Self-Harm in Johannesburg, South African Urban-Poor Households.
title_sort household factors associated with self-harm in johannesburg, south african urban-poor households.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description INTRODUCTION:Low 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. METHODS:Annual 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. RESULTS:A 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). CONCLUSION:This 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.
url http://europepmc.org/articles/PMC4701361?pdf=render
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