Department of Medicine, Section of Geriatrics and Palliative Medicine, Illinois.
Department of Public Health Sciences, University of Chicago, Illinois.
J Gerontol A Biol Sci Med Sci. 2018 Apr 17;73(5):622-629. doi: 10.1093/gerona/glx208.
BACKGROUND/OBJECTIVES: Accelerometry measures older adult (in)activity with high resolution. Most studies summarize activity over the entire wear time. We extend prior work by analyzing hourly activity data to determine how frailty and other characteristics relate to activity among older adults.
Using wrist accelerometry data collected from the National Social Life, Health and Aging Project (n = 651), a nationally-representative probability sample of older adults, we used mixed effects linear regression to model the logarithm of hourly counts per minute as a function of an adapted phenotypic frailty score, adjusting for demographic and health characteristics, season, day of week and time of day.
Higher frailty scores were associated with modestly lower activity; each frailty point (0-4) corresponded to a 7% lower mean hourly counts per minute. Older age, more comorbidities, male gender, and higher BMI were also associated with lower activity, though the latter was not evident among frail respondents. After adjusting for differences associated with frailty and other covariates, a substantial amount of between-individual variability in activity remained, as well as within-individual variability across days.
Our findings indicate that frail elders, men, those who are older, overweight or have multiple comorbidities are most likely to have low activity. However, residual differences between individuals remain larger than the differences associated with frailty and other covariates. We suggest defining individual-specific activity goals and further research to identify the sources of between-individual variability to better understand how activity reflects health status and to permit the development of more effective interventions.
背景/目的:加速度计以高分辨率测量老年人的(身体)活动情况。大多数研究都对整个佩戴时间内的活动进行总结。我们通过分析每小时的活动数据来扩展之前的工作,以确定虚弱程度和其他特征与老年人的活动之间的关系。
我们使用来自国家社会生活、健康和老龄化项目(n = 651)的腕部加速度计数据,这是一个具有全国代表性的老年人群概率样本,我们使用混合效应线性回归来对每小时每分钟计数的对数建模,作为适应表型虚弱评分的函数,同时调整人口统计学和健康特征、季节、星期几和一天中的时间。
更高的虚弱评分与略低的活动水平相关;每个虚弱点(0-4)对应平均每小时计数每分钟降低 7%。年龄较大、合并症较多、男性和更高的 BMI 也与较低的活动水平相关,但在虚弱的受访者中并不明显。在调整了与虚弱和其他协变量相关的差异后,活动的个体间差异仍然很大,并且个体内的日间差异也很大。
我们的发现表明,虚弱的老年人、男性、年龄较大、超重或患有多种合并症的人最有可能活动量低。然而,个体之间的剩余差异仍然大于与虚弱和其他协变量相关的差异。我们建议为个人定义具体的活动目标,并进一步研究以确定个体间差异的来源,以更好地了解活动如何反映健康状况,并允许开发更有效的干预措施。