Literature DB >> 19424900

Equivalence of accelerometer data for walking and running: treadmill versus on land.

Jeremy Vanhelst1, Gautier Zunquin, Denis Theunynck, Jacques Mikulovic, Gilles Bui-Xuan, Laurent Beghin.   

Abstract

The aim of this study was to compare equivalence and agreement of physical activity output data collected by a Research Tri-axial accelerometer (R3T) during walking and running on a treadmill versus on land. Fifty healthy volunteers, 35 males (age 21.9 +/- 1.8 years) and 15 females (age 21.6 +/- 0.7 years), underwent a series of tests on a treadmill and on land with the order of testing administered randomly. Each participant walked for 10 min at 4 km x h(-1) and 6 km x h(-1), and ran at 8 km x h(-1) and 10 km x h(-1), with the same accelerometer. Analysis of output data was assessed by two statistical tests: the equivalence test and Bland and Altman method. Mean differences for walking were 41.2 +/- 129.8 counts per minute and -68.8 +/- 173.15 counts per minute at 4 km . h(-1) and km x h(-1), respectively. Mean differences for running were 19.1 +/- 253.20 counts per minute and 38.9 +/- 270.2 counts per minute at 8 km x h(-1) and 10 km x h(-1), respectively. The physical activity output data from the treadmill were higher by an average of 3.5% than the data collected on land. The differences obtained between the treadmill and on land were small and non-significant. The equivalence test showed that output data from the treadmill versus on land were equivalent (P < 0.05). The Bland and Altman method showed good agreement between the counts obtained on the treadmill and on land (P < 0.05). In conclusion, physical activity output data were similar as measured by the RT3 accelerometer on a treadmill and on land. The findings suggest that the RT3 may be used in a laboratory and extrapolated to data obtained on land.

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Year:  2009        PMID: 19424900     DOI: 10.1080/02640410802680580

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  7 in total

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Authors:  James A Johnstone; Paul A Ford; Gerwyn Hughes; Tim Watson; Andrew C S Mitchell; Andrew T Garrett
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2.  The Relationship Between Intra-Abdominal Pressure and Body Acceleration During Exercise.

Authors:  Johanna Day de Gennaro; Claire K de Gennaro; Janet M Shaw; Tomasz J Petelenz; Ingrid E Nygaard; Robert W Hitchcock
Journal:  Female Pelvic Med Reconstr Surg       Date:  2019 May/Jun       Impact factor: 2.091

3.  Validation of Cut-Points for Evaluating the Intensity of Physical Activity with Accelerometry-Based Mean Amplitude Deviation (MAD).

Authors:  Henri Vähä-Ypyä; Tommi Vasankari; Pauliina Husu; Ari Mänttäri; Timo Vuorimaa; Jaana Suni; Harri Sievänen
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

4.  Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs.

Authors:  Samantha Bolton; Nick Cave; Naomi Cogger; G R Colborne
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

5.  Validation of the Vivago Wrist-Worn accelerometer in the assessment of physical activity.

Authors:  Jérémy Vanhelst; Rémy Hurdiel; Jacques Mikulovic; Gilles Bui-Xuân; Paul Fardy; Denis Theunynck; Laurent Béghin
Journal:  BMC Public Health       Date:  2012-08-22       Impact factor: 3.295

6.  Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions.

Authors:  Louise A Kelly; Duncan Ge McMillan; Alexandra Anderson; Morgan Fippinger; Gunnar Fillerup; Jane Rider
Journal:  BMC Med Phys       Date:  2013-11-26

7.  Physical activity and sedentary behavior during pregnancy and postpartum, measured using hip and wrist-worn accelerometers.

Authors:  Kathryn R Hesketh; Kelly R Evenson; Marissa Stroo; Shayna M Clancy; Truls Østbye; Sara E Benjamin-Neelon
Journal:  Prev Med Rep       Date:  2018-04-19
  7 in total

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