Assessing the validity and reliability and determining cut-points of the Actiwatch 2 in measuring physical activity

被引:11
作者
Kemp, Chadley [1 ,2 ]
Pienaar, Paula R. [1 ,2 ,3 ]
Henst, Rob H. P. [1 ,2 ]
Roden, Laura C. [1 ,2 ,4 ]
Kolbe-Alexander, Tracy L. [1 ,2 ,5 ,6 ]
Rae, Dale E. [1 ,2 ]
机构
[1] Univ Cape Town, Fac Hlth Sci, Lifestyle & Sport Res Ctr, Hlth Phys Act, Rondebosch, South Africa
[2] Univ Cape Town, Fac Hlth Sci, Div Exercise Sci & Sports Med, Dept Human Biol, Rondebosch, South Africa
[3] Vrije Univ Amsterdam, Amsterdam UMC, Amsterdam Publ Hlth Res Inst, Dept Publ & Occupat Hlth, Amsterdam, Netherlands
[4] Coventry Univ, Fac Hlth & Life Sci, Sch Life Sci, Coventry, W Midlands, England
[5] Univ Southern Queensland, Fac Hlth Engn & Sci, Sch Hlth & Wellbeing, Toowoomba, Qld, Australia
[6] Univ Queensland, Sch Human Movement & Nutr Sci, Brisbane, Qld, Australia
基金
新加坡国家研究基金会;
关键词
accelerometry; motion sensors; sedentary behavior; physical activity; CALIBRATION; SLEEP; RECOMMENDATIONS; ACCELEROMETERS; VALIDATION; BEHAVIOR; MONITOR; GUIDE;
D O I
10.1088/1361-6579/aba80f
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Objective: The Actiwatch 2 (AW2) is a wrist-worn accelerometer typically used to measure sleep. Although it can measure physical activity, there is limited evidence supporting its validity. We assessed the validity and reliability of the AW2 to measure sedentary behavior and physical activity (light, moderate, vigorous intensities), and reported their respective count cut-points.Approach: Twenty-eight males and 22 females completed a task battery comprising three sedentary tasks and six randomized physical activity tasks at varying intensities, whilst wearing the AW2, a reference accelerometry device (Actigraph GT3X) and a cardiopulmonary gas analyzer on two separate occasions. Validity was assessed using correlations (AW2 counts versus GT3X counts and metabolic equivalent (MET) values), reliability using Bland-Altman analyses, and cut-points were determined using receiver operating characteristic (ROC) area under the curve (AUC) analyses.Main results: AW2 counts were positively correlated with GT3X counts (rho = 0.902,p< 0.001) and METs (rho = 0.900,p< 0.001). AW2-derived counts were comparable across independent assessment periods. Sedentary (AUC = 0.99, cut-point: 256 cpm) and vigorous activity (AUC = 0.95, cut-point: 720 cpm) were strongly characterized, and moderate activity (AUC = 0.66, cut-point: 418 cpm) was weakly characterized.Significance: The use of the AW2 in physical activity monitoring looks promising for sedentary behavior, moderate and vigorous activity, however, further validation is needed.
引用
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页数:12
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