Sleep Disturbances in Early Pregnancy and the Risk of Preeclampsia: Qazvin Maternal and Neonatal Metabolic Outcomes Study (QMNMS)

妊娠早期睡眠障碍与先兆子痫风险:卡兹温母婴代谢结局研究(QMNMS)

阅读:1

Abstract

OBJECTIVES: The association between sleep disturbances and hypertension has been reported in numerous studies. However, prospective cohort data on the role of sleep disturbances in the development of preeclampsia remain limited. METHODS: This prospective cohort study was conducted on pregnant women with a in Iran. Sleep quality was assessed at the first prenatal visit (gestational age ≤14 weeks) using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Multivariate logistic regression was run to investigate the independent role of sleep abnormalities in the development of preeclampsia. RESULTS: The final analysis was performed on 576 participants, of whom 3.5% developed preeclampsia. In the univariate analysis, short sleep duration (< 6 hours) and prolonged sleep latency was associated with a 5.5 times and 3.5 times higher risk of developing preeclampsia (95% confidence interval [CI], 1.5 to 20.9; p=0.011, and 95% CI, 1.2 to 10.1; p=0.019, respectively). Considering the total PSQI score, fairly bad or very bad sleep quality was a risk factor for developing preeclampsia, with a relative risk of 4.9 in the univariate analysis (95% CI, 1.4 to 17.8; p=0.014). In the fully adjusted model, short sleep duration and prolonged sleep latency were associated with 7.2 times and 4.5 times higher risk of preeclampsia, respectivey (95% CI, 1.6 to 33.1; p=0.011 and 95% CI, 1.4 to 14.6; p=0.012, respectively). In this model, pregnant women with fairly bad or very bad sleep quality had 5.9 times higher risk of preeclampsia development (95% CI, 1.5 to 22.8; p=0.011). CONCLUSIONS: This cohort study demonstrated the role of short sleep duration and prolonged sleep latency as the main components of poor sleep quality in the development of preeclampsia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。