Borghi Stefano, La Torre Antonio, Messina Carmelo, Sconfienza Luca M, Banfi Giuseppe, Vitale Jacopo A
IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
J Aging Phys Act. 2024 Aug 1;33(1):27-34. doi: 10.1123/japa.2023-0330. Print 2025 Feb 1.
The aims of this cross-sectional study were to (a) assess actigraphy-based sleep parameters (total sample and gender differences), (b) assess differences in morphological parameters and physical function between short- versus normal-sleepers and poor- versus good-sleepers, and (c) assess the possible correlations between sleep variables and morphological and physical function parameters in older subjects.
This study enrolled 42 healthy older participants (60-80 years). Participants completed the following clinical evaluations: (1) whole-body dual-energy X-ray absorptiometry to assess the appendicular skeletal muscle mass index; (2) magnetic resonance imaging acquisition to determine the cross-sectional muscle area of thigh muscles and intermuscular adipose tissue; (3) risk of fall assessment through the mini-Balance Evaluation Systems Test; (4) strength assessment: (a) chair stand test and (b) handgrip strength test; (5) sleep monitoring by actigraphy to assess total sleep time, sleep efficiency, wake after sleep onset, sleep latency, fragmentation index, mobile time, and subjective sleep quality.
31.0% of subjects were short-sleepers (total sleep time < 6 hr), 19.1% were poor-sleepers (sleep efficiency < 85%), and gender differences were detected in mobile time (males: 15.8 ± 6.0 and females: 13.4 ± 6.8; p < .001) and fragmentation index (males: 35.3 ± 14.3 and females: 29.6 ± 14.6; p < .001); no significant differences were observed between groups (short- vs. normal-sleepers and poor- vs. good-sleepers) in morphological and physical function variables; correlation analysis showed that sleep latency negatively correlated with Mini-Balance Evaluation Systems Test (r = -.352; p = .022) and a positive correlation was detected between cross-sectional muscle area and mobile time (r = .349, p = .023).
No differences were observed in morphological and function parameters between good- versus poor-sleepers, those subjects with worse sleep onset latency (i.e., longer time to fall asleep) registered higher for risk of fall. The potential role of sleep in the physiological mechanisms of muscular aging must be explored through cross-sectional cohort studies with a larger population.
本横断面研究的目的是:(a)评估基于活动记录仪的睡眠参数(总样本及性别差异);(b)评估短睡眠者与正常睡眠者、睡眠质量差者与睡眠质量好者之间形态学参数和身体功能的差异;(c)评估老年受试者睡眠变量与形态学和身体功能参数之间的可能相关性。
本研究纳入了42名健康老年参与者(60 - 80岁)。参与者完成了以下临床评估:(1)全身双能X线吸收法以评估四肢骨骼肌质量指数;(2)磁共振成像采集以确定大腿肌肉的横截面积和肌间脂肪组织;(3)通过简易平衡评估系统测试进行跌倒风险评估;(4)力量评估:(a)椅子起立测试和(b)握力测试;(5)通过活动记录仪进行睡眠监测以评估总睡眠时间、睡眠效率、睡眠开始后的觉醒时间、睡眠潜伏期、碎片化指数、活动时间和主观睡眠质量。
31.0%的受试者为短睡眠者(总睡眠时间<6小时),19.1%的受试者为睡眠质量差者(睡眠效率<85%),在活动时间(男性:15.8±6.0,女性:13.4±6.8;p<.001)和碎片化指数(男性:35.3±14.3,女性:29.6±14.6;p<.001)方面检测到性别差异;在形态学和身体功能变量方面,各组(短睡眠者与正常睡眠者、睡眠质量差者与睡眠质量好者)之间未观察到显著差异;相关性分析表明,睡眠潜伏期与简易平衡评估系统测试呈负相关(r = -.352;p = .022),横截面积与活动时间之间存在正相关(r = .349,p = .023)。
睡眠质量好者与睡眠质量差者在形态学和功能参数方面未观察到差异,那些睡眠开始潜伏期较差(即入睡时间较长)的受试者跌倒风险较高。必须通过对更大人群的横断面队列研究来探索睡眠在肌肉衰老生理机制中的潜在作用。