Sean M Tweedy1, Stewart G Trost. 1. School of Human Movement Studies, University of Queensland, Australia. scant@hms.uq.edu.au
Abstract
PURPOSE: To evaluate the validity of a uniaxial accelerometer (MTI Actigraph) for measuring physical activity in people with acquired brain injury (ABI) using portable indirect calorimetry (Cosmed K4b(2)) as a criterion measure. METHODS: Fourteen people with ABI and related gait pattern impairment (age 32 +/- 8 yr) wore an MTI Actigraph that measured activity (counts.min(-1)) and a Cosmed K4b(2) that measured oxygen consumption (mL.kg(-1).min(-1)) during four activities: quiet sitting (QS) and comfortable paced (CP), brisk paced (BP), and fast paced (FP) walking. MET levels were predicted from Actigraph counts using a published equation and compared with Cosmed measures. Predicted METs for each of the 56 activity bouts (14 participants x 4 bouts) were classified (light, moderate, vigorous, or very vigorous intensity) and compared with Cosmed-based classifications. RESULTS: Repeated-measures ANOVA indicated that walking condition intensities were significantly different (P < 0.05) and the Actigraph detected the differences. Overall correlation between measured and predicted METs was positive, moderate, and significant (r = 0.74). Mean predicted METs were not significantly different from measured for CP and BP, but for FP walking, predicted METs were significantly less than measured (P < 0.05). The Actigraph correctly classified intensity for 76.8% of all activity bouts and 91.5% of light- and moderate-intensity bouts. CONCLUSIONS: Actigraph counts provide a valid index of activity across the intensities investigated in this study. For light to moderate activity, Actigraph-based estimates of METs are acceptable for group-level analysis and are a valid means of classifying activity intensity. The Actigraph significantly underestimated higher intensity activity, although, in practice, this limitation will have minimal impact on activity measurement of most community-dwelling people with ABI.
PURPOSE: To evaluate the validity of a uniaxial accelerometer (MTI Actigraph) for measuring physical activity in people with acquired brain injury (ABI) using portable indirect calorimetry (Cosmed K4b(2)) as a criterion measure. METHODS: Fourteen people with ABI and related gait pattern impairment (age 32 +/- 8 yr) wore an MTI Actigraph that measured activity (counts.min(-1)) and a Cosmed K4b(2) that measured oxygen consumption (mL.kg(-1).min(-1)) during four activities: quiet sitting (QS) and comfortable paced (CP), brisk paced (BP), and fast paced (FP) walking. MET levels were predicted from Actigraph counts using a published equation and compared with Cosmed measures. Predicted METs for each of the 56 activity bouts (14 participants x 4 bouts) were classified (light, moderate, vigorous, or very vigorous intensity) and compared with Cosmed-based classifications. RESULTS: Repeated-measures ANOVA indicated that walking condition intensities were significantly different (P < 0.05) and the Actigraph detected the differences. Overall correlation between measured and predicted METs was positive, moderate, and significant (r = 0.74). Mean predicted METs were not significantly different from measured for CP and BP, but for FP walking, predicted METs were significantly less than measured (P < 0.05). The Actigraph correctly classified intensity for 76.8% of all activity bouts and 91.5% of light- and moderate-intensity bouts. CONCLUSIONS: Actigraph counts provide a valid index of activity across the intensities investigated in this study. For light to moderate activity, Actigraph-based estimates of METs are acceptable for group-level analysis and are a valid means of classifying activity intensity. The Actigraph significantly underestimated higher intensity activity, although, in practice, this limitation will have minimal impact on activity measurement of most community-dwelling people with ABI.
Authors: Katherine S Hall; Cheryl A Howe; Sharon R Rana; Clara L Martin; Miriam C Morey Journal: Med Sci Sports Exerc Date: 2013-03 Impact factor: 5.411
Authors: Kristie L Bell; Roslyn N Boyd; Sean M Tweedy; Kelly A Weir; Richard D Stevenson; Peter S W Davies Journal: BMC Public Health Date: 2010-04-06 Impact factor: 3.295
Authors: Roslyn N Boyd; Emmah Baque; Adina Piovesana; Stephanie Ross; Jenny Ziviani; Leanne Sakzewski; Lee Barber; Owen Lloyd; Lynne McKinlay; Koa Whittingham; Anthony C Smith; Stephen Rose; Simona Fiori; Ross Cunnington; Robert Ware; Melinda Lewis; Tracy A Comans; Paul A Scuffham Journal: BMC Neurol Date: 2015-08-19 Impact factor: 2.474