Association Between Sleep Architecture and Measures of Body Composition
Association Between Sleep Architecture and Measures of Body Composition
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DOI：
10.1093/sleep/32.4.483
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发表时间：
2009-04-01
期刊：
影响因子：
5.6
通讯作者：
Stone, Katie L.
中科院分区：
文献类型：
--
作者：
Rao, Madhu N.;Blackwell, Terri;Stone, Katie L.
研究目的：确定慢波睡眠（SWS）是否与身体质量指数（BMI）和其他身体成分指标呈负相关。设计：横断面观察性研究。设置:以社区为基础的。参与者：2745名来自mrs睡眠研究的老年男性，他们完成了多导睡眠记录。干预措施：N/测量和结果：SWS占总睡眠时间的百分比是通过在家过夜多导睡眠仪获得的。身体组成测量包括BMI、体重、腰围和总体脂量通过标准技术确定。分析中的其他协变量包括年龄、种族/民族、诊所地点、体力活动、呼吸障碍指数（RDI）、总睡眠时间和睡眠效率。在多变量分析中，SWS的四分位数与BMI呈显著负相关（P-trend = 0.0095）。SWS最低四分位数的老年男性的平均BMI为27.4 kg/m(2)，而SWS最高四分位数的老年人的平均BMI为26.8。这种关联在RDI bb0 = 15的男性中减弱。此外，SWS最低四分位数的参与者与最高四分位数的参与者相比，肥胖的几率增加了1.4倍（P = 0.03, 95% CI 1.0, 1.8）。SWS与腰围和体重之间也存在类似的负相关。快速眼动睡眠与身体成分测量无关。结论：与睡眠时间无关，在老年男性人群中，SWS时间百分比与BMI和其他身体成分指标呈负相关。SWS最低四分之一的参与者（与最高四分之一的参与者相比）肥胖的风险增加。
Study Objectives: To determine whether slow wave sleep (SWS) is inversely associated with body mass index (BMI) and other measures of body composition.Design: Cross-sectional, observational study.Setting: Community-based.Participants: 2745 older men from the MrOS Sleep Study who completed polysomnography.Interventions: N/AMeasurements and Results: SWS as a percentage of total sleep duration was obtained from in-home, overnight polysomnography. Measures of body composition including BMI, weight, waist circumference and total body fat mass were determined by standard techniques. Other covariates in the analysis were age, race/ethnicity, clinic site, physical activity, respiratory disturbance index (RDI), total sleep time, and sleep efficiency. In the multivariate analysis, there was a significant inverse association between quartiles of SWS and BMI (P-trend = 0.0095). Older men in the lowest quartile of SWS had an average BMI of 27.4 kg/m(2), compared to 26.8 for those in the highest quartile of SWS. This association was attenuated in men with RDI >= 15. Furthermore, participants in the lowest quartile of SWS had a 1.4-fold increased odds for obesity (P = 0.03, 95% CI 1.0, 1.8) compared to those in the highest quartile. A similar inverse association between SWS and waist circumference as well as weight was observed. REM sleep was not associated with measures of body composition.Conclusions: Independent of sleep duration, percentage time in SWS is inversely associated with BMI and other measures of body composition in this population of older men. Participants in the lowest quartile of SWS (compared to those in the highest quartile) are at increased risk for obesity.