Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol
The RF model effectively identified associations between exposure factors and PPD. Mg, Ca, MCHc, and K were found to be protective factors, while RC emerged as a potential risk factor, highlighting its potential as a novel biomarker for PPD.
Authors
- Hongxu Chen (ORCID: https://orcid.org/0000-0001-7963-8813)
- Duo Ma (ORCID: https://orcid.org/0000-0002-6736-551X)
- Wu Yan (ORCID: https://orcid.org/0000-0002-3943-774X)
- Guangxue Chen
- Denglan Wang
- Tiantian Kong (ORCID: https://orcid.org/0000-0001-7768-7275)
- Ni Yan (ORCID: https://orcid.org/0000-0001-5775-5488)
- Wang Fan (ORCID: https://orcid.org/0000-0002-1290-1688)
- Guohui Liu (ORCID: https://orcid.org/0000-0002-2013-1396)
- Juanjuan Shen
- Chun Song (ORCID: https://orcid.org/0000-0002-8160-7503)
- Baoyan Guo
Institutions
- Xinjiang Medical University (CN)
- Xiamen University (CN)
- Peking University (CN)
- Beijing Jishuitan Hospital (CN)
- Quzhou City People's Hospital (CN)
- Qinzhou Maternity and Child Health Care Hospital (CN)
- Beijing HuiLongGuan Hospital (CN)
- Inner Mongolia Maternal and Child Health (CN)
- Second Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1186/s12884-025-07656-3
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Xinjiang Medical University
- Natural Science Foundation of Xinjiang