Dooley Erin E, Pompeii Lisa A, Palta Priya, Martinez-Amezcua Pablo, Hornikel Bjoern, Evenson Kelly R, Schrack Jennifer A, Pettee Gabriel Kelley
The University of Alabama at Birmingham, Birmingham, AL, USA.
Baylor College of Medicine, Houston, TX, USA.
Prev Med Rep. 2022 Jun 9;28:101859. doi: 10.1016/j.pmedr.2022.101859. eCollection 2022 Aug.
This cross-sectional study of older adults ≥ 65 years describes daily and hourly patterns of accelerometer-derived steps, sedentary, and physical activity behaviors and examines differences by day of the week and sociodemographic and health-related factors to identify time-use patterns. Data were from 459 Atherosclerosis Risk in Communities (ARIC) study participants (60% female; mean ± SD age = 78.3 ± 4.6 years; 20% Black) who wore a hip accelerometer ≥ 4 of 7 days, for ≥ 10 h/day in 2016. We used linear mixed models to examine daily patterns of steps, sedentary, low light, high light, and moderate-to-vigorous intensity physical activity (MVPA). Differences by sex, median age (</≥ 78 years), body mass index, self-rated health, depressive symptoms, and performance in a two-minute walk test were explored. Men (vs women), and those with overweight and obesity (vs normal weight), had significantly higher sedentary minutes and lower minutes of low light per day. For each additional meter walked during the two-minute walk test, sedentary behavior was lower while high light, MVPA, and daily steps were higher. No significant differences in time-use behaviors were found by self-reported race, age, education, self-rated health, or depressive symptoms. Participants were least active (22.5 min MVPA, 95% CI: 11.5, 33.5) and most sedentary (453.9 min, 95% CI: 417.7, 490.2) on Sunday. Most activity was accrued in the morning (before 12 PM) while the evening hours (3-11 PM) were spent ≥ 50% sedentary. Movement patterns suggest opportunities for promotion of activity and reduction in sedentary time on Sundays, in the evening hours, and for those with overweight or obesity.
这项针对65岁及以上老年人的横断面研究描述了通过加速度计得出的每日和每小时的步数、久坐行为以及身体活动行为模式，并按星期几、社会人口统计学和健康相关因素进行差异分析，以确定时间使用模式。数据来自社区动脉粥样硬化风险（ARIC）研究的459名参与者（60%为女性；平均年龄±标准差=78.3±4.6岁；20%为黑人），他们在2016年7天中至少有4天佩戴髋部加速度计，每天佩戴时间不少于10小时。我们使用线性混合模型来研究步数、久坐行为、低强度活动、高强度活动以及中等至剧烈强度身体活动（MVPA）的每日模式。探讨了性别、年龄中位数（<78岁/≥78岁）、体重指数、自我健康评价、抑郁症状以及两分钟步行测试表现的差异。男性（与女性相比）以及超重和肥胖者（与正常体重者相比）每天的久坐时间显著更长，低强度活动时间显著更短。在两分钟步行测试中，每多走一米，久坐行为就会减少，而高强度活动、MVPA和每日步数则会增加。自我报告的种族、年龄、教育程度、自我健康评价或抑郁症状在时间使用行为方面未发现显著差异。参与者在周日最不活跃（MVPA为22.5分钟，95%置信区间：11.5，33.5）且久坐时间最长（453.9分钟，95%置信区间：417.7，490.2）。大部分活动集中在上午（中午12点之前），而晚上（下午3点至晚上11点）有超过50%的时间处于久坐状态。运动模式表明在周日、晚上以及超重或肥胖者中存在促进活动和减少久坐时间的机会。
