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
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作者:
Wu, Dadong
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Shenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Shenzhen Key Lab Maternal & Child Hlth & Dis, Shenzhen 518000, Guangdong, Peoples R ChinaShenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Wu, Dadong
[1
,2
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Chen, Siqi
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Shenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R ChinaShenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Chen, Siqi
[1
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Zhong, Xiaoqi
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机构:
Southern Med Univ, Zhujiang Hosp, Clin Med Sch 2, Guangzhou 510280, Guangdong, Peoples R ChinaShenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Zhong, Xiaoqi
[3
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机构:
Zhang, Jiayi
[4
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Zhao, Guanglin
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机构:
Shenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R ChinaShenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Zhao, Guanglin
[1
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Jiang, Lei
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Shenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R ChinaShenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
Jiang, Lei
[1
]
机构:
[1] Shenzhen Matern & Child Healthcare Hosp, Shenzhen 518000, Guangdong, Peoples R China
[2] Shenzhen Key Lab Maternal & Child Hlth & Dis, Shenzhen 518000, Guangdong, Peoples R China
[3] Southern Med Univ, Zhujiang Hosp, Clin Med Sch 2, Guangzhou 510280, Guangdong, Peoples R China
[4] Southern Med Univ, Sch Hlth Management, Guangzhou 510515, Guangdong, Peoples R China
BackgroundAntenatal 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.MethodsA 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.ResultsA 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.ConclusionsThis 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.