Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women
This study utilized Logistic Regression and Decision Tree models to identify key factors influencing PP-PTSD, which include postpartum duration, sleep quality, pregnancy stress, family support, and positive coping. The identified modifiable factors enable targeted PP-PTSD prevention, with Logistic Regression providing high-accuracy screening tools and Decision Trees simplifying risk assessment in community settings.
Authors
- Wen Guo (ORCID: https://orcid.org/0000-0002-3691-4942)
- Xin Nie (ORCID: https://orcid.org/0000-0003-2759-2950)
- Jin Li (ORCID: https://orcid.org/0000-0003-3385-0979)
- Liping Xu (ORCID: https://orcid.org/0000-0003-4434-1213)
- Tao Zhang (ORCID: https://orcid.org/0000-0002-7618-2563)
- Junyan Li (ORCID: https://orcid.org/0000-0002-4383-3630)
- Li Cheng (ORCID: https://orcid.org/0000-0001-8984-0812)
Institutions
- Hubei University of Medicine (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1186/s12888-025-07261-w
- Primary Topic
- Posttraumatic Stress Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00