The construction and validation of the novel nomograms for the risk prediction of prenatal depression: a cross-sectional study
The prevalence of prenatal depression was considerably high. Risk factors associated with prenatal depression included unemployment, poor relationship with partners, antecedent history of gynecologic diseases, unplanned pregnancy, an earlier stage of pregnancy, more severe vomiting symptoms, and prenatal stress. The risk prediction model I could be used for fasting screening, while model II could generate more precise risk estimations.
Authors
- Xingfeng Yu (ORCID: https://orcid.org/0000-0002-9353-7637)
- Anum Nisar (ORCID: https://orcid.org/0000-0003-0862-0303)
- Lanting Huo (ORCID: https://orcid.org/0009-0003-3228-5119)
- Xiaomei Li (ORCID: https://orcid.org/0000-0001-7231-8358)
- Lei Yang (ORCID: https://orcid.org/0000-0002-3494-8161)
Institutions
- University of Liverpool (GB)
- Shanxi Medical University (CN)
- Shaanxi Provincial People's Hospital (CN)
- Shanxi Provincial People’s Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3389/fpsyt.2024.1478565
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00