Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA.
Department of Statistics, Donald Bren School of Information & Computer Sciences, University of California, Irvine, Irvine, CA, USA.
Womens Health (Lond). 2023 Jan-Dec;19:17455057231190952. doi: 10.1177/17455057231190952.
Sleep disturbances are associated with adverse perinatal outcomes. Thus, it is necessary to understand the continuous patterns of sleep during pregnancy and how moderators such as maternal age and pre-pregnancy body mass index impact sleep.
This study aimed to examine the continuous changes in sleep parameters objectively (i.e. sleep stages, total sleep time, and awake time) in pregnant women and to describe the impact of maternal age and/or pre-pregnancy body mass index as moderators of these objective sleep parameters.
This was a longitudinal observational design.
Seventeen women with a singleton pregnancy participated in this study. Mixed model repeated measures were used to describe weekly patterns, while aggregated changes describe these three pregnancy periods (10-19, 20-29, and 30-39 gestational weeks).
For the weekly patterns, we found significantly decreased deep (1.26 ± 0.18 min/week, p < 0.001), light (0.72 ± 0.37 min/week, p = 0.05), and total sleep time (1.56 ± 0.47 min/week, p < 0.001) as well as increased awake time (1.32 ± 0.34 min/week, p < 0.001). For the aggregated changes, we found similar patterns to weekly changes. Women (⩾30 years) had an even greater decrease in deep sleep (1.50 ± 0.22 min/week, p < 0.001) than those younger (0.84 ± 0.29 min/week, p = 0.04). Women who were both overweight/obese and ⩾30 years experienced an increase in rapid eye movement sleep (0.84 ± 0.31 min/week, p = 0.008), but those of normal weight (<30 years) did not.
This study appears to be the first to describe continuous changes in sleep parameters during pregnancy at home. Our study provides preliminary evidence that sleep parameters could be potential non-invasive physiological markers predicting perinatal outcomes.
睡眠障碍与不良围产期结局有关。因此,有必要了解怀孕期间睡眠的连续模式,以及母亲年龄和孕前体重指数等调节因素如何影响睡眠。
本研究旨在客观(即睡眠阶段、总睡眠时间和清醒时间)检测孕妇睡眠参数的连续变化,并描述母亲年龄和/或孕前体重指数作为这些客观睡眠参数的调节因素的影响。
这是一项纵向观察设计。
17 名单胎妊娠的女性参与了这项研究。混合模型重复测量用于描述每周模式,而聚合变化则描述这三个妊娠时期(10-19、20-29 和 30-39 孕周)。
对于每周模式,我们发现深度(1.26±0.18 分钟/周,p<0.001)、浅度(0.72±0.37 分钟/周,p=0.05)和总睡眠时间(1.56±0.47 分钟/周,p<0.001)显著减少,清醒时间(1.32±0.34 分钟/周,p<0.001)增加。对于聚合变化,我们发现与每周变化相似的模式。年龄(≥30 岁)较大的女性比年龄较小的女性(0.84±0.29 分钟/周,p=0.04)深度睡眠减少更多(1.50±0.22 分钟/周)。超重/肥胖且年龄(≥30 岁)较大的女性快速眼动睡眠增加(0.84±0.31 分钟/周,p=0.008),但体重正常(<30 岁)的女性则没有。
本研究似乎是第一个在家中描述怀孕期间睡眠参数连续变化的研究。我们的研究提供了初步证据,表明睡眠参数可能是预测围产期结局的潜在非侵入性生理标志物。