Summary of study site characteristics.

<p>Summary of study site characteristics.</p

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

<div><p>Introduction</p><p>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.</p><p>Methods</p><p>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.</p><p>Results</p><p>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).</p><p>Conclusion</p><p>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.</p></div

Frequencies and bivariate analysis of violence and health-status as factors potentially associated with self-harm (2006–2011).

<p>Frequencies and bivariate analysis of violence and health-status as factors potentially associated with self-harm (2006–2011).</p

Frequencies and bivariate analysis of household demographic, socio-economic and environmental factors potentially associated with self-harm (2006–2011).

<p>Frequencies and bivariate analysis of household demographic, socio-economic and environmental factors potentially associated with self-harm (2006–2011).</p

Factors associated with self-harm by stepwise multiple logistic regression: Johannesburg, South Africa (2006–2011).

<p>Factors associated with self-harm by stepwise multiple logistic regression: Johannesburg, South Africa (2006–2011).</p

sj-docx-1-new-10.1177_10482911221150237 - Supplemental material for Strengthening Social Compact and Innovative Health Sector Collaborations in Addressing COVID-19 in South African Workplaces

Supplemental material, sj-docx-1-new-10.1177_10482911221150237 for Strengthening Social Compact and Innovative Health Sector Collaborations in Addressing COVID-19 in South African Workplaces by Mohamed F. Jeebhay, Rajen N. Naidoo, Saloshni Naidoo, Shahieda Adams, Muzimkhulu Zungu, Spo Kgalomono, Nisha Naicker and Barry Kistnasamy in NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy</p