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多维睡眠健康与孕期体重增加之间的关联:nuMoM2b睡眠时长与连续性研究

The association between multidimensional sleep health and gestational weight gain: nuMoM2b Sleep Duration and Continuity Study.

作者信息

Hawkins Marquis S, Pokutnaya Darya Y, Bodnar Lisa M, Levine Michele D, Buysse Daniel J, Davis Esa M, Wallace Meredith L, Zee Phyllis C, Grobman William A, Reid Kathryn J, Facco Francesca L

出版信息

medRxiv. 2023 Feb 24:2023.02.21.23285931. doi: 10.1101/2023.02.21.23285931.

Abstract

BACKGROUND

Although poor sleep health is associated with weight gain and obesity in the non-pregnant population, research on the impact of sleep health on weight change among pregnant people using a multidimensional sleep-health framework is needed. This study examined associations among mid-pregnancy sleep health indicators, multidimensional sleep health, and gestational weight gain (GWG).

METHODS

We conducted a secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n=745). Indicators of individual sleep domains (i.e., regularity, nap duration, timing, efficiency, and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined "healthy" sleep in each domain based on empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis. Total GWG, the difference between self-reported pre-pregnancy weight and the last measured weight before delivery, was converted to z-scores using gestational age- and BMI-specific charts. GWG was defined as low (<-1 SD), moderate (-1 or +1 SD), and high (>+1 SD).

RESULTS

Nearly 50% of the participants had a healthy sleep profile (i.e., healthy sleep in most domains), whereas others had a sleep profile defined as having varying degrees of poor health in each domain. While indicators of individual sleep domains were not associated with GWG, multidimensional sleep health was related to low and high GWG. Participants with a sleep profile characterized as having low efficiency, late timing, and long sleep duration (vs. healthy sleep profile) had a higher risk (RR 1.7; 95% CI 1.0, 3.1) of low GWG a lower risk of high GWG (RR 0.5 95% CI 0.2, 1.1) (vs. moderate GWG).

CONCLUSIONS

Multidimensional sleep health was more strongly associated with GWG than individual sleep domains. Future research should determine whether sleep health is a valuable intervention target for optimizing GWG.

SYNOPSIS

What is the association between mid-pregnancy multidimensional sleep health and gestational weight gain? Sleep is associated with weight and weight gain outside of pregnancy We identified patterns of sleep behaviors associated with an increased risk of low gestational weight gain.

摘要

背景

尽管睡眠健康状况不佳与非孕妇人群的体重增加和肥胖有关,但仍需要使用多维睡眠健康框架来研究睡眠健康对孕妇体重变化的影响。本研究调查了孕中期睡眠健康指标、多维睡眠健康与孕期体重增加(GWG)之间的关联。

方法

我们对初产妇妊娠结局研究:监测准妈妈睡眠时长与连续性研究(n = 745)进行了二次数据分析。通过在妊娠16至21周期间使用活动记录仪评估各个睡眠领域的指标(即规律性、午睡时长、时间安排、效率和时长)。我们根据经验阈值定义每个领域的“健康”睡眠。多维睡眠健康基于潜在类别分析得出的睡眠概况。使用特定孕周和BMI的图表将总GWG(自我报告的孕前体重与分娩前最后测量体重之间的差值)转换为z分数。GWG被定义为低(<-1 SD)、中(-1或+1 SD)和高(>+1 SD)。

结果

近50%的参与者具有健康的睡眠概况(即大多数领域的睡眠健康),而其他人的睡眠概况被定义为在每个领域都有不同程度的健康不佳。虽然各个睡眠领域的指标与GWG无关,但多维睡眠健康与低GWG和高GWG有关。睡眠概况特征为效率低、时间晚和睡眠时长长(与健康睡眠概况相比)的参与者发生低GWG的风险较高(RR 1.7;95% CI 1.0,3.1),发生高GWG的风险较低(RR 0.5,95% CI 0.2,1.1)(与中度GWG相比)。

结论

与各个睡眠领域相比,多维睡眠健康与GWG的关联更强。未来的研究应确定睡眠健康是否是优化GWG的有价值的干预目标。

概要

孕中期多维睡眠健康与孕期体重增加之间有何关联?睡眠与非孕期的体重及体重增加有关。我们确定了与低孕期体重增加风险增加相关的睡眠行为模式。

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