Wang Yueying, Wang Jinle, Chen Pei, Zhang Jiahui, Lin Qin, Izci-Balserk Bilgay, Li Yan, Bei Bei, Zhu Bingqian
School of Nursing, Shanghai Jiao Tong University, 227 S Chongqing Rd, Shanghai, 200025, China.
School of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
BMC Psychiatry. 2025 Jun 6;25(1):592. doi: 10.1186/s12888-025-07026-5.
Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional construct of sleep health could be a protective or risk factor for prenatal depression remains unknown. This study aimed to examine the relationship between multidimensional sleep health and depression during late pregnancy.
This study was conducted among women during late pregnancy (28-40 weeks). Sleep health was measured by self-report questionnaires. Each dimension (sleep quality, duration, efficiency, timing, regularity and daytime sleepiness) was categorized as "good" or "poor". A composite sleep health score was calculated. Depression was measured using the Edinburgh Postnatal Depression Scale. Logistic regression analyses were used to examine the associations between individual sleep health dimensions and depression. Restricted cubic spline analysis was used to explore the dose-response relationship between overall sleep health and depression.
A total of 329 women were included. Their mean age was 31.6 years and the mean gestational age was 34.7 weeks. Sixty (18.2%) had clinically elevated depression. There was a dose-response relationship between composite sleep health score and depression, with a higher sleep health score associated with a lower risk of depression (OR = 0.572, 95%CI = 0.423-0.774, p for linearity < 0.001). Controlling for covariates, poor sleep quality (OR = 3.485, 95%CI = 1.817-6.683, p < 0.001), short sleep duration (OR = 3.462, 95%CI = 1.513-7.924, p = 0.003), and excessive daytime sleepiness (OR = 3.409, 95%CI = 1.804-6.442, p < 0.001) were associated with a higher risk of depression.
Both overall sleep health and individual dimensions (sleep quality, short sleep duration, and daytime sleepiness) were associated with depression during late pregnancy. These findings highlight the potential benefits of maintaining sleep health to achieve mental wellbeing in pregnant women. Healthcare providers may consider adding the assessment and management of sleep health as part of routine prenatal care.
Not applicable.
抑郁症在孕妇中很常见，识别可改变的风险因素至关重要（例如睡眠）。个体睡眠维度，如睡眠时间短和睡眠质量差，与患抑郁症的风险较高有关，而睡眠健康的多维结构是否可能是产前抑郁症的保护因素或风险因素仍不清楚。本研究旨在探讨妊娠晚期多维睡眠健康与抑郁症之间的关系。
本研究在妊娠晚期（28 - 40周）的女性中进行。睡眠健康通过自我报告问卷进行测量。每个维度（睡眠质量、时长、效率、时间、规律性和日间嗜睡）分为“良好”或“不佳”。计算综合睡眠健康评分。使用爱丁堡产后抑郁量表测量抑郁症。采用逻辑回归分析来检验个体睡眠健康维度与抑郁症之间的关联。使用受限立方样条分析来探索总体睡眠健康与抑郁症之间的剂量反应关系。
共纳入329名女性。她们的平均年龄为31.6岁，平均孕周为34.7周。60名（18.2%）有临床抑郁症症状。综合睡眠健康评分与抑郁症之间存在剂量反应关系，睡眠健康评分越高，患抑郁症的风险越低（OR = 0.572，95%CI = 0.423 - 0.774，线性p值<0.001）。在控制协变量后，睡眠质量差（OR = 3.485，95%CI = 1.817 - 6.683，p < 0.001）、睡眠时间短（OR = 3.462，95%CI = 1.513 - 7.924，p = 0.003）和日间过度嗜睡（OR = 3.409，95%CI = 1.804 - 6.442，p < 0.001）与患抑郁症的风险较高有关。
总体睡眠健康和个体维度（睡眠质量、睡眠时间短和日间嗜睡）均与妊娠晚期的抑郁症有关。这些发现凸显了维持睡眠健康对孕妇实现心理健康的潜在益处。医疗保健提供者可考虑将睡眠健康的评估和管理作为常规产前护理的一部分。
不适用。
