Analysis and Interpretation of Accelerometry Data in Older Adults: The LIFE Study

被引:44
作者
Rejeski, W. Jack [1 ]
Marsh, Anthony P. [1 ]
Brubaker, Peter H. [1 ]
Buman, Matthew [2 ]
Fielding, Roger A. [3 ]
Hire, Don [4 ]
Manini, Todd [5 ]
Rego, Alvito [6 ]
Miller, Michael E. [4 ]
机构
[1] Wake Forest Univ, Dept Hlth & Exercise Sci, Box 7868, Winston Salem, NC 27109 USA
[2] Arizona State Univ, SNHP Exercise Sci & Hlth, Tempe, AZ USA
[3] Tufts Univ, Nutr Exercise Physiol & Sarcopenia Lab, Boston, MA 02111 USA
[4] Wake Forest Univ, Sch Med, Dept Biostat Sci, Box 7868, Winston Salem, NC 27109 USA
[5] Univ Florida, Dept Aging & Geriatr Res, Gainesville, FL USA
[6] Northwestern Univ, Feinberg Sch Med, Gen Internal Med & Geriatr & Prevent Med, Chicago, IL 60611 USA
来源
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES | 2016年 / 71卷 / 04期
基金
美国国家卫生研究院;
关键词
Older adults; Accelerometry; Cutpoints; Mobility disability; LIFE-study; PHYSICAL-ACTIVITY; CALIBRATION; DISABILITY; ASSOCIATION; PERFORMANCE; MORTALITY; TIME;
D O I
10.1093/gerona/glv204
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background. 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. Methods. 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. Results. 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, age2, 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. Conclusions. 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.
引用
收藏
页码:521 / 528
页数:8
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