PhD Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei City, 110, Taiwan.
School of Aging Studies, University of South Florida, 4202 East Fowler Ave., MHC 1344 Tampa, Florida, USA.
Sleep Health. 2022 Oct;8(5):528-535. doi: 10.1016/j.sleh.2022.05.003. Epub 2022 Jul 3.
Although individual sleep characteristics are related to frailty, these characteristics do not occur separately. A multidimensional measure of sleep might provide a better estimation of frailty compared to isolated sleep characteristics. This study investigated the association of a multidimensional measure of sleep health with frailty both across and within sex groups.
Data were from the Taiwan Longitudinal Study on Aging (2011), a survey with a nationally representative sample of Taiwanese older adults (N = 2,015). Frailty was defined using the Fried criteria. Self-reported sleep during the past month was used to conceptualize the five sleep health dimensions in the SATED model. Their relationship was estimated using logistic regression analysis adjusting for sociodemographic characteristics (age, sex, education), health status (comorbidity, cognitive function, pain, depressive symptoms [excluding items overlapping with frailty and sleep]), and health risk behaviors (drinking, smoking, lack of exercise).
Having a better sleep health composite score was significantly related to lower odds of being frail in both sexes adjusting for sociodemographic characteristics. This association remained significant among women but not among men after adding health and risk behaviors to the models. Satisfaction and alertness in both sexes and duration among women were significantly associated with frailty adjusting for sociodemographic characteristics. Only alertness among men was significantly related to frailty in the model with all covariates.
Our findings show that having better sleep health across multiple dimensions is related to a lower risk of being frail, with differential risks for women and men.
尽管个体睡眠特征与虚弱有关，但这些特征并非孤立存在。与孤立的睡眠特征相比，睡眠健康的多维衡量可能能更好地估计虚弱程度。本研究调查了多维睡眠健康衡量指标与男女两性群体中虚弱之间的关系。
数据来自台湾老龄化纵向研究（2011 年），这是一项对具有全国代表性的台湾老年人样本（N=2015）的调查。虚弱的定义采用 Fried 标准。过去一个月的自我报告睡眠用于概念化 SATED 模型中的五个睡眠健康维度。使用逻辑回归分析估计它们之间的关系，调整社会人口统计学特征（年龄、性别、教育程度）、健康状况（合并症、认知功能、疼痛、抑郁症状[不包括与虚弱和睡眠重叠的项目]）和健康风险行为（饮酒、吸烟、缺乏运动）。
在调整社会人口统计学特征后，男女两性中睡眠健康综合评分较高与虚弱的几率较低显著相关。在加入健康和风险行为模型后，这种关联在女性中仍然显著，但在男性中则不显著。男女两性的满意度和警觉性以及女性的睡眠时间与调整社会人口统计学特征后的虚弱显著相关。只有男性的警觉性与所有协变量模型中的虚弱显著相关。
我们的研究结果表明，在多个维度上拥有更好的睡眠健康与虚弱风险降低有关，女性和男性的风险存在差异。
