Prevalence and factors associated with antenatal depressive symptoms across trimesters: a study of 110,584 pregnant women covered by a mobile app-based screening programme in Shenzhen, China

• Published in: BMC pregnancy and childbirth Vol. 24; no. 1; pp. 480 - 14
• Main Authors: Wu, Dadong, Chen, Siqi, Zhong, Xiaoqi, Zhang, Jiayi, Zhao, Guanglin, Jiang, Lei
• Format: Journal Article
• Language: English
• Published: England BioMed Central 16.07.2024; BMC
• Subjects: Adult; Alcohol use; Antenatal depression; Anxiety; Associated factor; Birth weight; China - epidemiology; Cross-Sectional Studies; Data collection; Depression - diagnosis; Depression - epidemiology; Families & family life; Female; Hospitals; Humans; Information systems; Lifestyles; Mass Screening - methods; Medical personnel; Medical screening; Mental depression; Mental disorders; Mobile Applications; Obstetrics; Pandemics; Parents & parenting; Perinatal care, China; Portable computers; Postpartum depression; Pregnancy; Pregnancy Complications - epidemiology; Pregnancy Complications - psychology; Pregnancy Trimesters - psychology; Pregnant women; Pregnant Women - psychology; Premature birth; Prenatal care; Prevalence; Public health; Questionnaires; Retrospective Studies; Risk Factors; Sociodemographics; Systematic review; Womens health; Young Adult; China; Perinatal care, China; Associated factor; Prevalence; Pregnant women; Antenatal depression
• ISSN: 1471-2393; 1471-2393
• DOI: 10.1186/s12884-024-06680-z

Antenatal depression is a significant public health issue affecting pregnant women both globally and in China. Using data from a mobile app-based screening programme, this study explored the prevalence and factors associated with antenatal depressive symptoms across different trimesters in Shenzhen. A retrospective cross-sectional study was conducted on pregnant women who gave birth in any hospital in Shenzhen between July 2021 and May 2022 and underwent depression screening using an official maternal and infant health mobile app at least once during pregnancy. Depressive symptoms were evaluated using the 9-item Patient Health Questionnaire (PHQ-9), with cut-off scores of 5 and 10 for mild and high level of symptoms, respectively. The prevalence for each trimester was determined by calculating the proportion of women scoring 5 or higher. A variety of sociodemographic, obstetric, psychological, and lifestyle factors were assessed for their association with depressive symptoms. Chi-square test and multivariate logistic regression were performed to identify significant predictors. A total of 110,584 pregnant women were included in the study, with an overall prevalence of depressive symptoms of 18.0% and a prevalence of high-level symptoms of 4.2%. Depressive symptoms were most prevalent in the first trimester (10.9%) and decreased in the second (6.2%) and third trimesters (6.3%). Only a small proportion (0.4%) of women showed persistent depressive symptoms across all trimesters. Anxiety symptoms in early pregnancy emerged as the most significant predictor of depressive symptoms. Other factors linked to an increased risk throughout pregnancy include lower marital satisfaction, living with parents-in-law, experience of negative life events, as well as drinking before and during pregnancy. Factors associated with a reduced risk throughout pregnancy include multiparity and daily physical activity. This large-scale study provides valuable insights into the prevalence and factors associated with antenatal depressive symptoms in Shenzhen. The findings underscore the need for targeted interventions for high-risk groups and the integration of mental health care into routine antenatal services. Continuous, dynamic monitoring of depressive symptoms for pregnant women and ensuring at-risk women receive comprehensive follow-up and appropriate psychological or psychiatric care are crucial for effectively addressing antenatal depression and improving maternal and infant health outcomes.