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This paper is in the following e-collection/theme issue:

New Methods (1189) Depression and Mood Disorders; Suicide Prevention (1770) Cross-Sectional Studies in Public Health (474) Anxiety and Stress Disorders (1380) Diagnostic Tools in Mental Health (342) Theme Issue: Bayesian Methods In Medical Research (30)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76913, first published .
Gender Differences in Psychosocial Pathways to Depression and Anxiety: Cross-Sectional and Bayesian Causal Network Study

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

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

Authors of this article:

Han Zhang1 Author Orcid Image ;   Ye Xia1 Author Orcid Image ;   Peicai Fu1 Author Orcid Image ;   Cun Li2 Author Orcid Image ;   Ke Shi1 Author Orcid Image ;   Yuan Yang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Gao Q, Ren W, Du X, Yu Y, Ma Z, Cui Y, Song X, Wu Z, Zhang Z, Liao Q, Tian M, Wei H, Dong J. Sex-specific associations between depression and cardiovascular–kidney–metabolic syndrome progression: a national cohort study. European Journal of Preventive Cardiology 2026 View
  2. Rea-Rodríguez C, Agulló-Tomás E, Llosa J, Menéndez-Espina S, Oliveros B, Mateos-González L, Nivedita R. Suicidal Ideation as a Multifactorial Concept: A Systematic Review of Psychosocial Risk Factors in Women. Health & Social Care in the Community 2026;2026(1) View
  3. Tan Y, Zhang W, Xie l, Lan Q, Li L, Dai W. Gender differences and dynamic mechanisms in depressive symptom trajectories among middle-aged and older adults: a study based on latent trajectory modeling and cross-lagged network analysis. BMC Public Health 2026 View