Trajectories of sleep health during the perinatal period: A systematic review and meta-analysis.

IF 5.6 2区 医学 Q1 Medicine
Sleep Pub Date : 2025-04-28 DOI:10.1093/sleep/zsaf095
Man Wang, Jialu Qian, Youngmin Cho, Zhiting Guo, Xiaoyan Yu, Junxin Li
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引用次数: 0

Abstract

Study objectives: This review aims to summarize trajectories of sleep quality, duration, efficiency, timing and insomnia symptoms from pregnancy to one year postpartum, with a specific focus on identifying the number, proportion, shape, associated factors and outcomes of these trajectories.

Methods: We conducted a systematic search across eight databases from inception to August 13, 2024. Longitudinal studies who recruited 100 or more pregnant or postpartum women with at least three sleep assessments during pregnancy and one year postpartum, and modeled independent sleep health trajectories using trajectory analysis methods were included. Meta-analyses were performed to assess the pooled prevalence of nonoptimal sleep health trajectories. The prevalence was compared across geographical regions by subgroup meta-analysis. Group-based trajectory model (GBTM) was used to reidentify clusters of sleep health trajectories if available.

Results: Five studies modeled a single trajectory, and the other 12 studies identified two to four distinct trajectories. The pooled prevalence of nonoptimal sleep quality and duration trajectories was 36% and 22%, respectively. The mean prevalence of the nonoptimal sleep efficiency trajectory was 15%, while the prevalence of delayed bedtime, late wake-up time, and clinical insomnia trajectories was reported as 51%, 17%, and 13%, respectively. Nonoptimal sleep trajectories were associated with higher risks of adverse maternal and infant outcomes. Low socioeconomic status, high pre-pregnancy body mass index, poor baseline sleep quality and self-reported health, and high initial levels of fatigue, anxiety and depressive symptoms were key factors associated with these trajectories. Additionally, GBTM identified three trajectory groups of perinatal sleep quality: consistently good (38.9%), increasingly poor (37.6%) and decreasingly poor (23.5%).

Conclusions: Perinatal sleep health trajectories demonstrate significant heterogeneity, with a notable proportion of women following high-risk trajectories. Further research should focus on identifying key risk factors for sleep health trajectories early in the perinatal period, and developing targeted public health strategies and interventions to address these factors.

围产期睡眠健康的轨迹:系统回顾和荟萃分析。
研究目的:本综述旨在总结从怀孕到产后一年的睡眠质量、持续时间、效率、时间和失眠症状的轨迹,并特别关注这些轨迹的数量、比例、形状、相关因素和结局。方法:我们对8个数据库进行了系统检索,检索时间从成立到2024年8月13日。纵向研究招募了100名或更多孕妇或产后妇女,在怀孕期间和产后一年内至少进行了三次睡眠评估,并使用轨迹分析方法建立了独立的睡眠健康轨迹。进行荟萃分析以评估非最佳睡眠健康轨迹的总患病率。通过亚组荟萃分析比较不同地理区域的患病率。使用基于组的轨迹模型(GBTM)重新识别可用的睡眠健康轨迹簇。结果:五项研究模拟了单一轨迹,另外12项研究确定了两到四个不同的轨迹。非最佳睡眠质量和持续时间轨迹的总患病率分别为36%和22%。非最佳睡眠效率轨迹的平均患病率为15%,而延迟就寝时间、晚起时间和临床失眠轨迹的患病率分别为51%、17%和13%。非最佳睡眠轨迹与母婴不良结局的高风险相关。低社会经济地位、高孕前体重指数、差的基线睡眠质量和自我报告的健康状况,以及高水平的初始疲劳、焦虑和抑郁症状是与这些轨迹相关的关键因素。此外,GBTM确定了围产期睡眠质量的三个轨迹组:持续良好(38.9%),越来越差(37.6%)和越来越差(23.5%)。结论:围产期睡眠健康轨迹显示出显著的异质性,有显著比例的女性遵循高危轨迹。进一步的研究应侧重于确定围产期早期睡眠健康轨迹的关键风险因素,并制定有针对性的公共卫生战略和干预措施来解决这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sleep
Sleep Medicine-Neurology (clinical)
CiteScore
8.70
自引率
10.70%
发文量
0
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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