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Trajectories of antepartum depressive symptoms and birthweight: a multicenter and prospective cohort study

爱丁堡产后忧郁量表 医学 萧条(经济学) 怀孕 前瞻性队列研究 队列研究 产科 产后抑郁症 抑郁症状 逻辑回归 精神科 儿科 内科学 焦虑 经济 宏观经济学 生物 遗传学
作者
Jing Wang,Yimin Qu,Yongle Zhan,Haihui Ma,Xiaoxiu Li,Dongmei Man,Hongguo Wu,Ping Huang,Liangkun Ma,Yu Jiang
出处
期刊:Psychiatry and Clinical Neurosciences [Wiley]
卷期号:77 (12): 631-637 被引量:1
标识
DOI:10.1111/pcn.13590
摘要

Background Antepartum depression is a prevalent unhealthy mental health problem worldwide, particularly in low‐income countries. It is a major contributor to adverse birth outcomes. Previous studies linking antepartum depression to birthweight have yielded conflicting results, which may be the reason that the depressive symptoms were only measured once during pregnancy. This study aimed to explore the associations between trajectories of antepartum depressive symptoms and birthweight. Methods Depressive symptoms were assessed prospectively at each trimester in 3699 pregnant women from 24 hospitals across 15 provinces in China, using the Edinburgh Postpartum Depression Scale (EPDS). Higher scores of EPDS indicated higher levels of depressive symptoms. Associations between trajectories of depressive symptoms and birthweight were examined using group‐based trajectory modeling (GBTM), propensity score‐based inverse probability of treatment weighting (IPTW), and logistic regression. Results GBTM identified five trajectories. Compared with the low‐stable trajectory of depressive symptoms, only high‐stable (OR = 1.35, 95% CI: 1.15–2.52) and moderate‐rising (OR = 1.18, 95% CI: 1.12–1.85) had an increased risk of low birthweight (LBW) in the adjusted longitudinal analysis of IPTW. There was no significant increase in the risk of LBW in moderate‐stable and high‐falling trajectories. However, trajectories of depressive symptoms were not associated with the risk of macrosomia. Conclusion Antepartum depressive symptoms were not constant. Trajectories of depressive symptoms were associated with the risk of LBW. It is important to optimize and implement screening, tracking, and intervention protocols for antepartum depression, especially for high‐risk pregnant women, to prevent LBW.
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