Paternal postpartum depression in Suzhou: An analysis of prevalence and risk factors

doi:10.5498/wjp.119221

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Psychiatry. Jul 19, 2026; 16(7): 119221
Published online Jul 19, 2026. doi: 10.5498/wjp.119221

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Figure 2 Forest plot of binary logistic regression analysis for paternal postpartum depression. Odds ratios and 95% confidence intervals for significant predictors of paternal postpartum depression in the multivariate binary logistic regression model. Significant protective factors include place of residence, living conditions, education level, and marital satisfaction, while caregivers during pregnancy was a significant risk factor. OR: Odds ratio; CI: Confidence interval.

Citation: Wang XX, Chao LH, Ji CF, Li HJ. Paternal postpartum depression in Suzhou: An analysis of prevalence and risk factors. World J Psychiatry 2026; 16(7): 119221
URL: https://www.wjgnet.com/2220-3206/full/v16/i7/119221.htm
DOI: https://dx.doi.org/10.5498/wjp.119221

Wang XX, Chao LH, Ji CF, Li HJ. Paternal postpartum depression in Suzhou: An analysis of prevalence and risk factors. World J Psychiatry 2026; 16(7): 119221 [DOI: 10.5498/wjp.119221]

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