Division of Sports Science and Physical Education, Tsinghua University, 100084, Beijing, China.
Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, 100020, Beijing, China.
BMC Public Health. 2023 Mar 14;23(1):489. doi: 10.1186/s12889-023-15411-6.
Trouble sleeping is one of the major health issues nowadays. Current evidence on the correlation between muscle quality and trouble sleeping is limited.
A cross-sectional study design was applied and participants aged from 18 to 60 years in the National Health and Nutrition Examination Survey (NHANES) 2011-2014 was used for analysis. Muscle quality index (MQI) was quantitatively calculated as handgrip strength (HGS, kg) sum/ arm and appendicular skeletal muscle mass (ASM, kg) by using the sum of the non-dominant hand and dominant hand. Sleeping data was obtained by interviews and self-reported by individuals. The main analyses utilized weighted multivariable logistic regression models according to the complex multi-stage sampling design of NHANES. Restricted cubic spline model was applied to explore the non-linear relationship between MQI and trouble sleeping. Moreover, subgroup analyses concerning sociodemographic and lifestyle factors were conducted in this study.
5143 participants were finally included in. In the fully adjusted model, an increased level of MQI was significantly associated with a lower odds ratio of trouble sleeping, with OR = 0.765, 95% CI: (0.652,0.896), p = 0.011. Restricted cubic spline showed a non-linear association between MQI and trouble sleeping. However, it seemed that the prevalence of trouble sleeping decreased with increasing MQI until it reached 2.362, after which the odds ratio of trouble sleeping reached a plateau. Subgroup analyses further confirmed that the negative association between the MQI and trouble sleeping was consistent and robust across groups.
Overall, this study revealed that MQI can be used as a reliable predictor in odds ratio of trouble sleeping. Maintaining a certain level of muscle mass would be beneficial to sleep health. However, this was a cross-sectional study, and causal inference between MQI and trouble sleeping was worthy of further exploration.
睡眠问题是当前主要的健康问题之一。目前关于肌肉质量与睡眠问题之间相关性的证据有限。
本研究采用横断面研究设计,对 2011-2014 年国家健康和营养调查(NHANES)中 18-60 岁的参与者进行分析。肌肉质量指数(MQI)通过使用非优势手和优势手的总和来定量计算,即握力(HGS,kg)总和/手臂和四肢骨骼肌质量(ASM,kg)。睡眠数据通过访谈和个人自我报告获得。主要分析根据 NHANES 的复杂多阶段抽样设计,利用加权多变量逻辑回归模型进行。应用限制三次样条模型探索 MQI 与睡眠问题之间的非线性关系。此外,本研究还进行了与社会人口统计学和生活方式因素有关的亚组分析。
最终纳入 5143 名参与者。在完全调整模型中,MQI 水平升高与睡眠问题的比值比降低显著相关,OR=0.765,95%CI:(0.652,0.896),p=0.011。限制三次样条显示 MQI 与睡眠问题之间存在非线性关系。然而,似乎随着 MQI 的增加,睡眠问题的患病率下降,直到达到 2.362,之后睡眠问题的比值比达到一个平台。亚组分析进一步证实,MQI 与睡眠问题之间的负相关在各亚组中是一致且稳健的。
总的来说,本研究表明 MQI 可以作为睡眠问题比值比的可靠预测指标。保持一定水平的肌肉质量将有利于睡眠健康。然而,这是一项横断面研究,MQI 与睡眠问题之间的因果关系值得进一步探讨。