Sleep duration and incident frailty: The Rural Frailty Study

Author:

Moreno-Tamayo Karla,Manrique-Espinoza Betty,Morales-Carmona Evangelina,Salinas-Rodríguez Aarón

Abstract

Abstract Background The association between sleep duration and frailty remains unconclusive since most of the studies have been cross-sectional. Therefore, this study aimed to analyze the association between sleep duration, sleep complaints, and incident frailty. Methods A community-based cohort study from rural areas in Mexico with 309 older adults aged 70 and over. Data from waves two and three of the Rural Frailty Study were used. We operationalized the Fried frailty phenotype to describe prevalent and incident frailty at two consecutive waves. Sleep duration was classified as: ≤ 5 h, 6 h, 7–8 h, and ≥ 9 h; and the self-reported sleep complaints as a dichotomous variable. Analyses were performed using Poison regression models. Results The average age was 76.2 years and 55.3% were women; the incidence of frailty was 30.4%; 13.3% slept ≤5 h, and 38.5% ≥ 9 h. Compared with the group that slept 7–8 h, the risk of frailty at 4.4 years of follow-up was significantly higher among those who slept ≤5 h (adjusted RR 1.80, 95% CI: 1.04–3.11) and among those who slept ≥9 h (adjusted RR 1.69, 95% CI: 1.10–2.58). Sleep complaints were not associated with incident frailty (adjusted RR 1.41, 95% CI: 0.94–2.12). Conclusions Our results show that short and long sleep duration are associated with the incidence of frailty. Studies that objectively evaluate sleep duration are needed to clarify whether meeting the recommended hours of sleep decreases frailty incidence.

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3