Construction and validation of a simple model for predicting the risk of prenatal depression

BackgroundMental illness during pregnancy has become a major public health problem in China over the recent years, and depression is the most common psychological symptom during pregnancy. Current research efforts are directed towards the therapy on prenatal depression, whereas the construction of p...

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Bibliographic Details
Published in:Sichuan Jingshen Weisheng 2023-10, Vol.36 (5), p.466-472
Main Authors: Liao Yujia, Chen Siyu, Deng Xiangyu, Gan Yanqiong, Han Shulei, Tan, Xinlin, Huang, Yue
Format: Article
Language:Chinese
Subjects:
Menstruation
Mental depression
prediction model
Pregnancy
prenatal depression
risk factor
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Summary:BackgroundMental illness during pregnancy has become a major public health problem in China over the recent years, and depression is the most common psychological symptom during pregnancy. Current research efforts are directed towards the therapy on prenatal depression, whereas the construction of prediction model for prenatal depression risk has been little studied.ObjectiveTo construct a simple model for predicting the risk of prenatal depression, thus providing a valuable reference for the prevention of maternal depression during pregnancy. MethodsA total of 803 pregnant women attending three hospitals in Nanchong city were consecutively recruited from May 2021 to February 2022. A self-administered questionnaire was developed for of social demographic variables, obstetrical and general medical indexes and psychological status of all participants, and Self-rating Depression Scale (SDS) was utilized to screen for the presence of maternal depression. Subjects were randomly assigned into modelling group (n=635
ISSN:1007-3256
DOI:10.11886/scjsws20230303001