Risk factors and predictive modeling of postpartum depression among postpartum women: empirical evidence from Chongqing, China

Key risk factors for PPD in this study include low delivery-related knowledge, family dysfunction, low social support, and cesarean section. The developed model performs well in the early identification of high-risk women, enabling timely interventions to improve maternal mental health.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-02-13
DOI
https://doi.org/10.3389/fpubh.2026.1725970
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
0.00
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article

Risk factors and predictive modeling of postpartum depression among postpartum women: empirical evidence from Chongqing, China

Xinjing Liu, Yuxin Liu, Biao Xie, T. Y. Alvin Liu et al.
Frontiers in Public Health
Maternal Mental Health During Pregnancy and Postpartum
article

Risk factors and predictive modeling of postpartum depression among postpartum women: empirical evidence from Chongqing, China

Xinjing Liu, Yuxin Liu, Biao Xie, T. Y. Alvin Liu, Xiaoni Zhong, Haijiao Zeng, Guichuan Lai, Wenlong Li, Qian Wang, Jiaming Jiang
article en

Abstract

Key risk factors for PPD in this study include low delivery-related knowledge, family dysfunction, low social support, and cesarean section. The developed model performs well in the early identification of high-risk women, enabling timely interventions to improve maternal mental health.

Frontiers in Public HealthVol. 14
Chongqing Public Health Medical Center (CN), Chongqing Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 59%
Maternal Mental Health During Pregnancy and Postpartum
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