Wang Ning, Wang Ting, Tang Meiling, Zu Biqi, Chen Jiamiao
Obstetrics Department, Dalian Women and Children's Medical Group, 154 Zhongshan Road, Xigang District, Dalian, China.
School of Nursing, Dalian University, Dalian, China.
BMC Pregnancy Childbirth. 2025 May 28;25(1):622. doi: 10.1186/s12884-025-07754-2.
Improving maternal and child health has been a global priority since the early 2000s, with a focus on reducing perinatal complications and improving overall maternal well-being. Sleep characteristics influence various health outcomes, yet their role in perinatal complications and adverse outcomes remains poorly understood.
A Mendelian randomization analysis was conducted, using seven common sleep characteristics (sleeplessness, sleep duration, getting up in the morning, daytime napping, morning/evening person, narcolepsy, snoring) as exposure factors and twelve common perinatal complications and adverse outcomes (preterm birth, polyhydramnios, slow fetal growth and fetal malnutrition, dystocia, umbilical cord-related complications, postpartum hemorrhage, fetal distress, gestational diabetes, pregnancy hypertension, eclampsia, abruptio placentae, placenta previa) as outcomes. A two-sample Mendelian randomization analysis was performed to infer causal effects.
The inverse variance weighted (IVW) analysis showed that sleeplessness was associated with preterm birth, sleep duration with gestational diabetes, and narcolepsy with pregnancy hypertension and eclampsia. These results were consistently supported by other methods, suggesting that sleep characteristics are causal risk factors for perinatal complications and adverse outcomes.
This study found that sleeplessness is associated with preterm birth, sleep duration with gestational diabetes, and narcolepsy with pregnancy hypertension and eclampsia. These findings contribute to a better understanding of the impact of sleep characteristics on common perinatal complications and adverse outcomes. Targeting sleep interventions, such as improving sleep duration and addressing sleep disorders like sleeplessness and narcolepsy, may reduce the incidence of preterm birth, gestational diabetes, and pregnancy hypertension, offering effective strategies to improve maternal and infant health outcomes.
自21世纪初以来，改善母婴健康一直是全球优先事项，重点是减少围产期并发症并改善孕产妇的整体健康状况。睡眠特征会影响各种健康结果，但其在围产期并发症和不良结局中的作用仍知之甚少。
进行了一项孟德尔随机化分析，将七种常见的睡眠特征（失眠、睡眠时间、早晨起床、白天小睡、早/晚型人、发作性睡病、打鼾）作为暴露因素，将十二种常见的围产期并发症和不良结局（早产、羊水过多、胎儿生长缓慢和胎儿营养不良、难产、脐带相关并发症、产后出血、胎儿窘迫、妊娠期糖尿病、妊娠高血压、子痫、胎盘早剥、前置胎盘）作为结局。进行了两样本孟德尔随机化分析以推断因果效应。
逆方差加权（IVW）分析表明，失眠与早产有关，睡眠时间与妊娠期糖尿病有关，发作性睡病与妊娠高血压和子痫有关。这些结果得到了其他方法的一致支持，表明睡眠特征是围产期并发症和不良结局的因果风险因素。
本研究发现，失眠与早产有关，睡眠时间与妊娠期糖尿病有关，发作性睡病与妊娠高血压和子痫有关。这些发现有助于更好地理解睡眠特征对常见围产期并发症和不良结局的影响。针对睡眠进行干预，如改善睡眠时间以及解决失眠和发作性睡病等睡眠障碍，可能会降低早产、妊娠期糖尿病和妊娠高血压的发生率，为改善母婴健康结局提供有效的策略。
