Determinants of suicide among female population in South Africa: A comparative analysis of socio-economic factors.

This study conducted a comparative analysis of socio-economic determinants of suicide among the South African women using longitudinal data from 1995 to 2020 with five-year intervals. It examined the relationship between female suicide rates and significant economic determinants (per capita income and employment rate) and social determinants (gender inequality and education level in women). Graphical analysis was employed to identify trends and patterns throughout the years. The results showed non-linear and inconsistent patterns, with none of the variables having a direct or consistent effect on female suicide rates. Although some were observed-such as between declining employment and rising suicide-other variables like income and education did not show clear patterns. Based on these findings, the study recommended the implementation of gender-sensitive mental health policies, greater access to mental health care-particularly in poor communities-and the development of employment and education policies that promote women's overall well-being. A multi-sectoral, integrated strategy was deemed necessary to address the complex and interrelated determinants of female suicide in South Africa effectively.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-11-25
DOI
https://doi.org/10.29063/ajrh2025/v29i11.13
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of suicide among female population in South Africa: A comparative analysis of socio-economic factors.

Xi Mei Zhan
PubMed
Suicide and Self-Harm Studies
article

Determinants of suicide among female population in South Africa: A comparative analysis of socio-economic factors.

Xi Mei Zhan
article en

Abstract

This study conducted a comparative analysis of socio-economic determinants of suicide among the South African women using longitudinal data from 1995 to 2020 with five-year intervals. It examined the relationship between female suicide rates and significant economic determinants (per capita income and employment rate) and social determinants (gender inequality and education level in women). Graphical analysis was employed to identify trends and patterns throughout the years. The results showed non-linear and inconsistent patterns, with none of the variables having a direct or consistent effect on female suicide rates. Although some were observed-such as between declining employment and rising suicide-other variables like income and education did not show clear patterns. Based on these findings, the study recommended the implementation of gender-sensitive mental health policies, greater access to mental health care-particularly in poor communities-and the development of employment and education policies that promote women's overall well-being. A multi-sectoral, integrated strategy was deemed necessary to address the complex and interrelated determinants of female suicide in South Africa effectively.

PubMedVol. 29(11)
Sun Yat-sen University (CN)
Openalex Percentile: Top 51%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.