Development and validation of a predictive nomogram for antenatal depression in China

The predictive model for antenatal depression in the Chinese population provides a valuable tool for early detection, intervention, and personalized care for pregnant women.

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Publication Details

Journal
BMC Pregnancy and Childbirth
Published
2025-10-03
DOI
https://doi.org/10.1186/s12884-025-08189-5
Citations
1
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
1.88
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article

Development and validation of a predictive nomogram for antenatal depression in China

Xiaohong Li, Xiaobin Zhang, Peiyun Zhang, Ju Gao et al.
1 citations
BMC Pregnancy and Childbirth
Maternal Mental Health During Pregnancy and Postpartum
1.88
article

Development and validation of a predictive nomogram for antenatal depression in China

Xiaohong Li, Xiaobin Zhang, Peiyun Zhang, Ju Gao, Linghua Kong, Shengying Zhang, Hongbao Chen, Yang Yong, Renjie Yu, Jia Liu, Luyang Guan, Jun Zhang, Lanlan Zhang, Tingting Jin
article en
1 citations

Abstract

The predictive model for antenatal depression in the Chinese population provides a valuable tool for early detection, intervention, and personalized care for pregnant women.

BMC Pregnancy and ChildbirthVol. 25(1)
Nantong University (CN), Soochow University (CN), Suzhou Guangji Hospital (CN), Second People's Hospital of NanTong (CN), Suzhou Municipal Hospital (CN), Hanzhong People's Hospital (CN)
Openalex Percentile: Top 12%
Maternal Mental Health During Pregnancy and Postpartum
1.88
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Development and validation of a predictive nomogram for antenatal depression in China — Xiaohong Li, Xiaobin Zhang, et al. · BMC Pregnancy and Childbirth (2025) | TGRS Research Map | TGRS