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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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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