Muscle quality index is associated with trouble sleeping: a cross-sectional population based study

• Published in: BMC public health Vol. 23; no. 1; p. 489
• Main Authors: You, Yanwei, Chen, Yuquan, Zhang, Qi, Yan, Ning, Ning, Yi, Cao, Qiang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 14.03.2023; BioMed Central; BMC
• Subjects: Adolescent; Adult; Age; Alcohol; Arm; Body composition; Body mass index; Cross-Sectional Studies; Design; Education; Ethnicity; Hand Strength; Health aspects; Hispanic people; Humans; Insomnia; Lifestyles; Low income groups; Medical examination; Middle Aged; Muscle quality index; Muscles; National Health and Nutrition Examination Survey; Nutrition Surveys; Physical fitness; Population; Population studies; Population-based studies; Population-based study; Poverty; Prevention; Regression analysis; Regression models; Risk factors; Sampling designs; Skeletal muscle; Sleep; Sleep disorders; Sociodemographics; Subgroups; Trouble sleeping; Variables; Young Adult; United States; Population-based study; National Health and Nutrition Examination Survey; Trouble sleeping; Muscle quality index
• ISSN: 1471-2458; 1471-2458
• 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.