Rejeski W Jack, Marsh Anthony P, Brubaker Peter H, Buman Matthew, Fielding Roger A, Hire Don, Manini Todd, Rego Alvito, Miller Michael E
Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
SNHP Exercise Science & Health, Arizona State University, Tempe.
J Gerontol A Biol Sci Med Sci. 2016 Apr;71(4):521-8. doi: 10.1093/gerona/glv204. Epub 2015 Oct 29.
Accelerometry has become the gold standard for evaluating physical activity in the health sciences. An important feature of using this technology is the cutpoint for determining moderate to vigorous physical activity (MVPA) because this is a key component of exercise prescription. This article focused on evaluating what cutpoint is appropriate for use with older adults 70-89 years who are physically compromised.
The analyses are based on data collected from the Lifestyle Interventions and Independence for Elders (LIFE) study. Accelerometry data were collected during a 40-minute, overground, walking exercise session in a subset of participants at four sites; we also used 1-week baseline and 6-month accelerometry data collected in the main trial.
There was extreme variability in median counts per minute (CPM) achieved during a controlled bout of exercise (n = 140; median = 1,220 CPM (25th, 75th percentile = 715, 1,930 CPM). An equation combining age, age(2), and 400 m gait speed explained 61% of the variance in CPM achieved during this session. When applied to the LIFE accelerometry data (n = 1,448), the use of an individually tailored cutpoint based on this equation resulted in markedly different patterns of MVPA as compared with using standard fixed cutpoints.
The findings of this study have important implications for the use and interpretations of accelerometry data and in the design/delivery of physical activity interventions with older adults.
在健康科学领域,加速度计已成为评估身体活动的金标准。使用该技术的一个重要特征是确定中度至剧烈身体活动(MVPA)的切点,因为这是运动处方的关键组成部分。本文重点评估对于70 - 89岁身体机能受损的老年人,何种切点适用于加速度计数据。
分析基于从老年人生活方式干预与独立性(LIFE)研究中收集的数据。在四个地点的部分参与者进行的40分钟地面步行锻炼期间收集加速度计数据;我们还使用了在主要试验中收集的1周基线和6个月的加速度计数据。
在一次受控锻炼期间,每分钟的中位数计数(CPM)存在极大差异(n = 140;中位数 = 1,220 CPM(第25、75百分位数 = 715、1,930 CPM)。一个结合年龄、年龄²和400米步态速度的方程解释了本次锻炼期间CPM变化的61%。当应用于LIFE加速度计数据(n = 1,448)时,与使用标准固定切点相比,使用基于该方程的个体定制切点会导致MVPA模式明显不同。
本研究结果对加速度计数据的使用和解读以及针对老年人的身体活动干预的设计/实施具有重要意义。