Raghuveer Pracheth, Yadav Ravi, Shankar Ravi Girikematha, Reddy Deepika Sudha
Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, 560029 India.
Department of Neurology, National Institute of Mental Health and Neurosciences Neurosciences, Bengaluru, 560029 India.
Sleep Biol Rhythms. 2024 Nov 13;23(2):127-136. doi: 10.1007/s41105-024-00556-7. eCollection 2025 Apr.
Our study aimed to assess the prevalence and determinants of sleep disturbances among pregnant women in Kolar District, Karnataka, India. It focused on specific disturbances, such as obstructive sleep apnea (OSA), insomnia, restless leg syndrome (RLS), excessive daytime sleepiness (EDS), and poor sleep quality across pregnancy trimesters. A cross-sectional community-based study among 251 pregnant women was conducted. Sleep disturbances using validated tools, including the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI), STOP-Bang and single-question RLS screener tool were measured. Bivariate logistic regression was followed by multivariate logistic regression identified significant predictors. Sleep disturbances were highly prevalent, with poor sleep quality being most common (39.84%), followed by OSA (13.55%), EDS-moderate and severe category (11.56%), insomnia (9.6%), and RLS (6.80%). Proportion of pregnant women who screened positive for any sleep disturbance was 49.4%. Disturbances increased as pregnancy progressed, particularly in the third trimester. Significant predictors included increased neck circumference (aOR 1.08; = 0.003), high-risk pregnancy (aOR 3.37; < 0.001), and pregnancy trimester. Primigravida women were less likely to experience sleep issues compared to multigravida women (aOR 0.54; = 0.034). High-risk pregnancies were associated with increased odds of OSA, insomnia, and EDS. Our study highlights the significant burden of sleep disturbances among pregnant women, with poor sleep quality being the most prevalent. High-risk pregnancies, increased neck circumference, and multigravida status were key determinants. Our findings emphasize the need for targeted interventions to improve maternal sleep quality and reduce potential adverse outcomes.
The online version contains supplementary material available at 10.1007/s41105-024-00556-7.
我们的研究旨在评估印度卡纳塔克邦科拉尔区孕妇睡眠障碍的患病率及其决定因素。研究聚焦于特定的睡眠障碍，如阻塞性睡眠呼吸暂停（OSA）、失眠、不宁腿综合征（RLS）、日间过度嗜睡（EDS）以及孕期各阶段的睡眠质量差等问题。我们对251名孕妇开展了一项基于社区的横断面研究。使用经过验证的工具，包括匹兹堡睡眠质量指数（PSQI）、爱泼华嗜睡量表（ESS）、失眠严重程度指数（ISI）、STOP - Bang问卷以及单问题RLS筛查工具来测量睡眠障碍情况。先进行双变量逻辑回归分析，然后通过多变量逻辑回归分析确定显著的预测因素。睡眠障碍非常普遍，其中睡眠质量差最为常见（39.84%），其次是阻塞性睡眠呼吸暂停（13.55%）、中度和重度日间过度嗜睡（11.56%）、失眠（9.6%）以及不宁腿综合征（6.80%）。筛查出存在任何睡眠障碍阳性的孕妇比例为49.4%。随着孕期进展，睡眠障碍有所增加，尤其是在孕晚期。显著的预测因素包括颈围增加（调整优势比[aOR]为1.08；P = 0.003）、高危妊娠（aOR为3.37；P < 0.001）以及孕期阶段。与经产妇相比，初产妇出现睡眠问题的可能性较小（aOR为0.54；P = 0.034）。高危妊娠与阻塞性睡眠呼吸暂停、失眠和日间过度嗜睡的几率增加有关。我们的研究凸显了孕妇睡眠障碍的重大负担，其中睡眠质量差最为普遍。高危妊娠、颈围增加和经产妇状态是关键的决定因素。我们的研究结果强调了采取针对性干预措施以改善孕产妇睡眠质量并减少潜在不良后果的必要性。
在线版本包含可在10.1007/s41105 - 024 - 00556 - 7获取的补充材料。
