Gender differences in the effects of economic inequality on mental conditions: a multivariate meta-analysis of Gini index and relative income position in high-income OECD countries - Summary - MDSpire
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Sex-Based Variations in the Impact of Economic Disparities on Mental Health: A Comprehensive Meta-Analysis of Gini Coefficient and Relative Income Status in Affluent OECD Nations
To examine the role of gender in the relationship between economic inequalities and mental health conditions, particularly focusing on the differential impact on women.
Approach:
Evaluation of Relative Poverty: Assessed sex disparities in relative poverty across high-income OECD countries using Welch t-tests and sensitivity analyses for COVID-19 periods.
Systematic Review and Meta-Analysis: Conducted a PRISMA-guided systematic review and multivariate random-effects meta-analysis of 21 studies providing gender-disaggregated associations of income rank and income inequality with mental health conditions.
Key Findings:
Relative poverty was more prevalent among women (20.5%) than men (18.3%), with a significant mean difference of 2.2 percentage points (p < 0.001).
The meta-analysis revealed a significant relationship between lower income and poorer mental health (log(OR)=0.55, 95% CI 0.26–0.85).
Gender did not moderate effects across all outcomes, but in depression-focused analyses, significant moderation by gender was found (p=0.016), indicating larger effects among women.
The Gini index was not associated with mental health, but gender remained a significant moderator, with effects concentrated in women.
Interpretation:
Gender influences both exposure to economic disadvantage and susceptibility to its mental health effects, with women disproportionately affected, especially regarding depression.
Limitations:
The study primarily focuses on high-income OECD countries, which may limit generalizability.
Cross-sectional studies dominate the existing literature, hindering causal conclusions.
Conclusion:
Research and policy addressing socioeconomic determinants of mental health should incorporate gender-sensitive approaches.