@article{ref1,
title="Association between sleep and motoric cognitive risk syndrome among community-dwelling older adults: results from the China Health and Retirement Longitudinal Study",
journal="Frontiers in aging neuroscience",
year="2021",
author="Xu, Weihao and Bai, Anying and Huang, Xin and Gao, Yinghui and Liu, Lin",
volume="13",
number="",
pages="e774167-e774167",
abstract="BACKGROUND: Sleep is increasingly recognized as an important lifestyle contributor to health; however, its relationship with Motoric cognitive risk syndrome (MCR) is still unclear. The present study aimed to examine the associations between sleep duration, sleep quality, and MCR among community-dwelling Chinese older adults. <br><br>METHODS: We recruited 5,387 participants aged ≥60 years from the China Health and Retirement Longitudinal Study (CHARLS). Sleep-related variables including night sleep duration and sleep quality were assessed via self-reported questionnaires. MCR syndrome was defined as cognitive complaints and slow gait speed without dementia or impaired mobility. Multivariate logistic regression analysis was performed to explore the associations between sleep-related variables and MCR after controlling for all potential confounders including demographic characteristics, lifestyle factors, and comorbidities. <br><br>RESULTS: We found that sleep duration was significantly associated with MCR, and the multivariate-adjusted odds ratios (OR) were highest for those with the shortest (<6 h OR = 1.55, 95% CI = 1.18-2.04) and longest (≥10 h OR = 1.73, 95% CI = 1.03-2.91) sleep durations. Moreover, an increasing frequency of self-perceived poor sleep quality was significantly associated with MCR in the adjusted model (3-4 days OR = 1.58, 95% CI = 1.16-2.17; 5-7 days OR = 1.81, 95% CI = 1.37-2.40). <br><br>CONCLUSIONS: Our study indicated an inverted U-shaped association between night sleep duration and MCR. Poor sleep quality was also associated with higher odds of MCR in community-dwelling Chinese elders. Longitudinal studies with a larger population size are needed to establish causality in the future and further explore potential action mechanisms.<p /> <p>Language: en</p>",
language="en",
issn="1663-4365",
doi="10.3389/fnagi.2021.774167",
url="http://dx.doi.org/10.3389/fnagi.2021.774167"
}