Dunietz Galit Levi, Shedden Kerby, Lyu Xiru, Chervin Ronald D, Baylin Ana, O'Brien Louise M, Jansen Erica C, Wactawski-Wende Jean, Schisterman Enrique F, Mumford Sunni L
Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
J Clin Endocrinol Metab. 2025 Jan 21;110(2):e363-e371. doi: 10.1210/clinem/dgae191.
Along the menstrual cycle, associations between inconsistent sleep duration and levels of metabolic biomarkers are uncertain and could involve fluctuations in estrogen concentrations.
To examine associations between patterns of sleep duration and metabolic biomarkers across 2 menstrual cycles within a cohort of premenopausal women.
The BioCycle Study was conducted in New York between 2005 and 2007, enrolling 259 premenopausal women over 2 menstrual cycles. This microlongitudinal cohort study involved intensive data collection including daily sleep diaries and biomarker assessments of leptin, insulin, and glucose at 16 key points timed to menstrual cycle phases. We considered dynamic sleep duration as hours slept 1 night or as mean hours slept during the 2 nights before each biomarker assessment. Variability in habitual sleep duration (ie, reported daily sleep duration) was summarized across both menstrual cycles. Variation in habitual sleep duration was computed using L-moments, a robust version of dispersion, skewness, and kurtosis. To examine associations between patterns of sleep duration and metabolic biomarkers, we fitted a series of linear mixed models with random intercepts and inverse probability weighting. These models were adjusted for potential demographic, lifestyle, health confounders, and menstrual cycle phase.
Sleep duration 1 night or 2 nights before clinic visits were not associated with metabolic biomarker measures. However, overall variability (dispersion) in habitual sleep duration was associated with lower mean insulin Homeostatic Model Assessment for Insulin Resistance levels, but not glucose. Moreover, extremely short or long bouts of sleep duration were associated with higher mean levels of leptin, insulin, and Homeostatic Model Assessment for Insulin Resistance.
These data suggest that variation in habitual sleep duration along the menstrual cycle may be associated with metabolic function.
在整个月经周期中，睡眠时间不一致与代谢生物标志物水平之间的关联尚不确定，可能涉及雌激素浓度的波动。
研究绝经前女性队列中两个月经周期内睡眠时间模式与代谢生物标志物之间的关联。
2005年至2007年在纽约进行了生物周期研究，招募了259名绝经前女性，进行两个月经周期的研究。这项微纵向队列研究涉及密集的数据收集，包括每日睡眠日记以及在与月经周期阶段相关的16个关键点对瘦素、胰岛素和葡萄糖进行生物标志物评估。我们将动态睡眠时间定义为某一晚的睡眠时间或每次生物标志物评估前两晚的平均睡眠时间。总结了两个月经周期内习惯性睡眠时间（即报告的每日睡眠时间）的变异性。使用L矩计算习惯性睡眠时间的变异性，L矩是一种用于离散度、偏度和峰度的稳健版本。为了研究睡眠时间模式与代谢生物标志物之间的关联，我们拟合了一系列具有随机截距和逆概率加权的线性混合模型。这些模型针对潜在的人口统计学、生活方式、健康混杂因素以及月经周期阶段进行了调整。
就诊前一晚或两晚的睡眠时间与代谢生物标志物测量值无关。然而，习惯性睡眠时间的总体变异性（离散度）与较低的平均胰岛素抵抗稳态模型评估水平相关，但与葡萄糖无关。此外，极短或极长的睡眠时间与较高的平均瘦素、胰岛素和胰岛素抵抗稳态模型评估水平相关。
这些数据表明，月经周期中习惯性睡眠时间的变化可能与代谢功能有关。
