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

  • By

  • Olivia Kalinowski

  • Wulf Rössler

  • September 3, 2026

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Objective:

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.

Sources:

Original Source(s)

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