Assessment of emotional status and risk factors in early pregnancy using multidimensional data: a cross-sectional study
Utilizing multidimensional data to assess the emotional state and risk factors of pregnant women, and conducting intelligent analysis can accurately identify emotional risks during pregnancy. In the future, integrating sleep interventions, lifestyle optimization, and social support networks could lead to the development of digital health tools for dynamic early warning. It is recommended to embed these tools into routine prenatal management processes to advance the precision and personalization of mental health services during pregnancy.
Authors
- Guopeng Gao
- Zhenhua Li (ORCID: https://orcid.org/0000-0001-6327-9561)
- Xiujun Zhang
- Xiaomin Jia
- Shuangqin Yan
- Cheng‐Yang Hu (ORCID: https://orcid.org/0000-0002-0052-9030)
Institutions
- Anhui Medical University (CN)
- Anshan Hospital (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1186/s12884-025-08253-0
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China