Gender Differences in Psychosocial Pathways to Depression and Anxiety: Cross-Sectional and Bayesian Causal Network...

Area of Science:

• Psychiatry
• Network Analysis
• Mental Health Research

Background:

• Depression and anxiety are prevalent global disorders with known gender disparities.
• The interplay of childhood trauma, self-esteem, social support, and emotion regulation in gender-specific mental health outcomes is not fully understood.

Purpose of the Study:

• To investigate network structures of depression, anxiety, and psychosocial factors.
• To examine gender-specific pathways contributing to depression and anxiety development.

Main Methods:

• Cross-sectional network analysis of 6105 Chinese participants.
• Bayesian network analysis to infer causal pathways.
• Examination of gender differences in network structures.

Main Results:

• Strong associations found between depression, anxiety, insomnia, and somatic symptoms.
• Significant gender differences in network structures (P=.001).
• Anxiety preceded depression in males; depression preceded anxiety in females. Key factors varied by gender: insomnia, self-esteem, social support for females; emotion regulation for males.

Conclusions:

• Novel network analyses identified distinct gender-specific pathways for depression and anxiety.
• Highlights insomnia, self-esteem, and social support as targets for female mental health, and emotion regulation for males.
• Emphasizes the need for gender-sensitive mental health strategies and longitudinal validation.