时间类型对老年人身体活动和认知表现的不同影响

Frontiers in epidemiology Pub Date : 2023-04-17 eCollection Date: 2023-01-01 DOI:10.3389/fepid.2023.1029221
Hilary Hicks, Kayla Meyer, Amber Watts
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引用次数: 0

摘要

时间类型反映了个人偏好的活动和睡眠模式(例如,“早晨型”与“晚上型”),并与健康和身体活动有关。人们对老年人的睡眠类型和认知健康之间的关系知之甚少。目前还不清楚睡眠类型的影响是由睡眠时间还是睡眠中断造成的。这项研究探讨了有或没有自我报告睡眠障碍的老年人的睡眠类型、身体活动和认知表现之间的关系。方法153名老年人(M = 70.35, SD = 5.89)在非优势手腕佩戴活动记录仪7天,测量总体力活动、峰值体力活动和时间类型(睡眠间隔中点)。我们将参与者分为早睡型、晚睡型和中睡型,并评估了注意力、执行功能和言语记忆领域的认知表现。结果:MANCOVAs显示,不同时间类型的人在24小时内的活动模式不同,例如,早晨类型的人活动得更早,而晚上类型的人活动得更晚。总体力活动和平均峰值活动在不同时间类型之间没有差异(ps≥0.117)。活动高峰的时间与预期一致(上午类型的活动高峰最早(p = 0.019)。夜猫子的执行功能和注意力显著差于中级人,p = 0.008。当排除有睡眠障碍的参与者时,夜猫子的总体体力活动明显少于其他组,但认知表现没有差异。我们发现两组之间的总体力活动或峰值体力活动没有差异,这与年轻样本的研究结果不一致。这表明时间类型对身体活动的影响可能会随着年龄的增长而变化,并指出方法差异的潜在影响。虽然夜猫子表现出更差的执行功能和注意力表现,但当有睡眠障碍的参与者被排除在外时,这一发现就消失了。造成这种差异的可能是睡眠失调,而不是睡眠时间。最近的体育活动研究趋势探讨了24小时内的活动模式,并承认不同活动类型之间的相互依赖性。我们的研究结果表明,随着研究人员在老年人中开展这方面的研究,生物钟和活动时间可能很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential effects of chronotype on physical activity and cognitive performance in older adults.

Introduction: Chronotypes reflect individuals' preferred activity and sleep patterns (e.g., "morning-types" vs. "evening-types") and are associated with health and physical activity. Less is known about the relationship between chronotype and cognitive health in older adults. It is unclear whether chronotype's influence is driven by sleep timing or disruption. This study explored the relationship between chronotype, physical activity, and cognitive performance in older adults with and without self-reported sleep disorders.

Methods: Participants were 153 older adults (M = 70.35, SD = 5.89) who wore an Actigraph on the non-dominant wrist for seven days to measure total physical activity, peak physical activity, and chronotype (sleep interval midpoint). We categorized participants as morning-, evening-, and intermediate-chronotypes and assessed cognitive performance in domains of attention, executive function, and verbal memory.

Results: MANCOVAs showed patterns of activity across the 24-hour day differed between chronotypes such that morning-types were active earlier and evening-types active later, ps > .001. Total physical activity and average peak activity did not differ between chronotypes, (ps≥ .117). Timing of peak activity followed expectations (morning-types peaked earliest (p = .019). Evening-types exhibited significantly worse executive function and attention than intermediate-types, p = .008. When excluding participants with sleep disorders, evening-types engaged in significantly less total physical activity than other groups, but cognitive performance did not differ.

Discussion: We found no differences in total or peak physical activity between groups, which is inconsistent with findings from studies in younger samples. This suggests the role of chronotype on physical activity may change with age and points to the potential impact of methodological discrepancies. While evening-types exhibited worse executive function and attention performance, this finding disappeared when participants with sleep disorders were excluded. Sleep dysregulation rather than sleep timing may be driving this difference. Recent trends in physical activity research explore activity patterns across the 24-hour day and acknowledge codependence between different activity types. Our findings suggest chronotype and activity timing may be important as researchers advance this line of research in older adults.

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