Literature DB >> 12582951

Ability of different physical activity monitors to detect movement during treadmill walking.

N Y J M Leenders1, T E Nelson, W M Sherman.   

Abstract

This study assessed the ability of four different activity monitors to discriminate changes in treadmill walking velocity. The relationships between walking velocity and bodily movement and between bodily movement and energy expenditure determined by indirect calorimetry (IC-EE or METs) were determined. Twenty-eight subjects walked at 3.2, 4.0, 4.8, 5.6, and 6.4 km/h (0 % grade) for 30 min on separate occasions. The Tritrac-R3D (TT), Computer Science & Applications, Inc. (CSA), and Mini-Logger (ML) activity monitors that measure bodily acceleration in one or three planes, and a Yamax Digiwalker-500 (YX) that records footsteps, were secured at the waistline of each subject. CSA monitors were also worn at the wrist and ankle. Walking velocity and bodily movement were significantly related (r = 0.89 to 0.93) for TT, CSA, ML, and YX. Importantly, changing each walking velocity produced significant changes in bodily movement that was detected by each monitor. Bodily movement and IC-EE were significantly related for TT, CSA, ML, and YX (r = 0.47 to 0.94). Compared to IC-EE, and at all walking speeds, EE was significantly overestimated by the TT, and EE was significantly underestimated by the YX. These results indicate that the activity monitors can differentiate bodily movement associated with walking at slow speeds better than they can estimate energy expenditure associated with walking at slow speeds.

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Year:  2003        PMID: 12582951     DOI: 10.1055/s-2003-37196

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  34 in total

1.  Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers.

Authors:  Kong Y Chen; Sari A Acra; Karen Majchrzak; Candice L Donahue; Lemont Baker; Linda Clemens; Ming Sun; Maciej S Buchowski
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

2.  Comparison of two waist-mounted and two ankle-mounted electronic pedometers.

Authors:  Murat Karabulut; Scott E Crouter; David R Bassett
Journal:  Eur J Appl Physiol       Date:  2005-10-27       Impact factor: 3.078

3.  Validity of self-reported total physical activity questionnaire among older women.

Authors:  Nicola Orsini; Rino Bellocco; Matteo Bottai; Maria Hagströmer; Michael Sjöström; Marcello Pagano; Alicja Wolk
Journal:  Eur J Epidemiol       Date:  2008-08-14       Impact factor: 8.082

4.  Higher Precision of Heart Rate Compared with VO2 to Predict Exercise Intensity in Endurance-Trained Runners.

Authors:  Victor M Reis; Roland Van den Tillaar; Mario C Marques
Journal:  J Sports Sci Med       Date:  2011-03-01       Impact factor: 2.988

5.  Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth.

Authors:  Leena Choi; Kong Y Chen; Sari A Acra; Maciej S Buchowski
Journal:  J Appl Physiol (1985)       Date:  2009-12-03

6.  Estimating absolute and relative physical activity intensity across age via accelerometry in adults.

Authors:  Nora E Miller; Scott J Strath; Ann M Swartz; Susan E Cashin
Journal:  J Aging Phys Act       Date:  2010-04       Impact factor: 1.961

7.  Assessing the contribution of parks to physical activity using global positioning system and accelerometry.

Authors:  Kelly R Evenson; Fang Wen; Amy Hillier; Deborah A Cohen
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

8.  Measuring physical activity among pregnant women using a structured one-week recall questionnaire: evidence for validity and reliability.

Authors:  Kelly R Evenson; Fang Wen
Journal:  Int J Behav Nutr Phys Act       Date:  2010-03-21       Impact factor: 6.457

9.  Physical activity levels in American-Indian adults: the Strong Heart Family Study.

Authors:  Kristi L Storti; Vincent C Arena; M Michael Barmada; Clareann H Bunker; Robert L Hanson; Sandra L Laston; Jeun-Liang Yeh; Joseph M Zmuda; Barbara V Howard; Andrea M Kriska
Journal:  Am J Prev Med       Date:  2009-12       Impact factor: 5.043

10.  Comparison of four ActiGraph accelerometers during walking and running.

Authors:  Dinesh John; Brian Tyo; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2010-02       Impact factor: 5.411

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