Bao Ciqing, Jin Dongzhen, Sun Shiyu, Xu Ling, Wang Chaoyue, Tang Weina, Zhang Wenmiao, Bao Yin, Xu Dongwu, Zhou Siyao, Yu Xin, Zhao Ke
Wenzhou Seventh People's Hospital, Wenzhou, China.
Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Front Psychiatry. 2022 Mar 31;13:762719. doi: 10.3389/fpsyt.2022.762719. eCollection 2022.
Most women in the perinatal period face sleep issues, which can affect their mental health. Only a few studies have focused on sleep trajectories and depressive symptoms of women during the perinatal period in China. This study aims to explore the development trajectory of sleep quality by classifying pregnant women according to the changes in their sleep quality during pregnancy and postpartum and investigate the correlation between different sleep quality trajectory groups and depressive symptoms. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality, and the Edinburgh Postnatal Depression Scale (EPDS) was used to assess the symptoms of depression. Participants ( = 412) completed the assessment of sleep quality, depressive symptoms, and some sociodemographic and obstetric data at 36 weeks of gestation, 1 week after delivery, and 6 weeks after delivery. The group-based trajectory model (GBTM) was used to complete the trajectory classification, and logistic regression was used to analyze the predictive factors of postpartum depressive symptoms. Four different sleep quality trajectories were determined: "stable-good," "worsening," "improving," and "stable-poor" groups. The results demonstrate that poor sleep trajectories, social support and parenting experience during the perinatal period are related to postpartum depression. Screening for prenatal sleep problems is crucial for identifying the onset of perinatal depressive symptoms.
大多数围产期女性面临睡眠问题,这可能会影响她们的心理健康。在中国,只有少数研究关注围产期女性的睡眠轨迹和抑郁症状。本研究旨在根据孕期和产后睡眠质量的变化对孕妇进行分类,探索睡眠质量的发展轨迹,并调查不同睡眠质量轨迹组与抑郁症状之间的相关性。采用匹兹堡睡眠质量指数(PSQI)评估睡眠质量,采用爱丁堡产后抑郁量表(EPDS)评估抑郁症状。参与者(n = 412)在妊娠36周、产后1周和产后6周完成了睡眠质量、抑郁症状以及一些社会人口学和产科数据的评估。采用基于群体的轨迹模型(GBTM)完成轨迹分类,并采用逻辑回归分析产后抑郁症状的预测因素。确定了四种不同的睡眠质量轨迹:“稳定-良好”、“恶化”、“改善”和“稳定-较差”组。结果表明,围产期睡眠轨迹不佳、社会支持和育儿经历与产后抑郁有关。筛查产前睡眠问题对于识别围产期抑郁症状的发作至关重要。