Worawan Sirichana1, Brett A Dolezal2, Eric V Neufeld2, Xiaoyan Wang3, Christopher B Cooper4. 1. Exercise Physiology Research Laboratory, Departments of Medicine and Physiology, David Geffen School of Medicine, University of California at Los Angeles, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Thailand. 2. Exercise Physiology Research Laboratory, Departments of Medicine and Physiology, David Geffen School of Medicine, University of California at Los Angeles, USA. 3. Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California at Los Angeles, USA. 4. Exercise Physiology Research Laboratory, Departments of Medicine and Physiology, David Geffen School of Medicine, University of California at Los Angeles, USA. Electronic address: ccooper@mednet.ucla.edu.
Abstract
OBJECTIVES: Triaxial accelerometry is commonly used to estimate oxygen uptake (VO2) and energy expenditure in health and fitness studies. We tested the correlation of a triaxial accelerometer in terms of a summation of vector magnitudes with gravity subtracted (SVMgs) and measured VO2 for different daily physical activities. DESIGN: Original research, cross-sectional. METHODS: Twenty volunteers wore a triaxial accelerometer on both wrists while performing 12 assigned daily physical activities for 6min for each activity. The VO2 was determined by indirect calorimetry using a portable metabolic measurement system. The last 3min of each activity was assumed to represent steady-state. The VO2 measured during these periods was averaged and converted into metabolic equivalents (METs). RESULTS: The range of VO2 for all activities was 0.18-3.2L/min (0.8-12.2 METs). Significant differences in SVMgs existed between accelerometer placements on the dominant (120.9±8.7gmin) versus non-dominant hand (99.9±6.8gmin; P=0.016) for the lowest levels of physical activity defined as <1.5 METs. Piecewise linear regression model using 6 METs as the transition point showed similar significant correlations for the non-dominant wrist (r2=0.85; P<0.001) and the dominant wrist (r2=0.86; P<0.001). Using the non-dominant wrist below 6 METs, the slope of the relationship between SVMgs and METs was 105.3±4.3 (95% CI 96.9 to 113.7) indicating an increase in SVMgs of approximately 100 units for every MET increase in oxygen uptake. CONCLUSIONS: Wrist-worn triaxial accelerometry reliably predicted energy expenditure during common physical activities <6 METs. More consistent correlations were found when the accelerometer was worn on the non-dominant wrist rather than the dominant wrist.
OBJECTIVES: Triaxial accelerometry is commonly used to estimate oxygen uptake (VO2) and energy expenditure in health and fitness studies. We tested the correlation of a triaxial accelerometer in terms of a summation of vector magnitudes with gravity subtracted (SVMgs) and measured VO2 for different daily physical activities. DESIGN: Original research, cross-sectional. METHODS: Twenty volunteers wore a triaxial accelerometer on both wrists while performing 12 assigned daily physical activities for 6min for each activity. The VO2 was determined by indirect calorimetry using a portable metabolic measurement system. The last 3min of each activity was assumed to represent steady-state. The VO2 measured during these periods was averaged and converted into metabolic equivalents (METs). RESULTS: The range of VO2 for all activities was 0.18-3.2L/min (0.8-12.2 METs). Significant differences in SVMgs existed between accelerometer placements on the dominant (120.9±8.7gmin) versus non-dominant hand (99.9±6.8gmin; P=0.016) for the lowest levels of physical activity defined as <1.5 METs. Piecewise linear regression model using 6 METs as the transition point showed similar significant correlations for the non-dominant wrist (r2=0.85; P<0.001) and the dominant wrist (r2=0.86; P<0.001). Using the non-dominant wrist below 6 METs, the slope of the relationship between SVMgs and METs was 105.3±4.3 (95% CI 96.9 to 113.7) indicating an increase in SVMgs of approximately 100 units for every MET increase in oxygen uptake. CONCLUSIONS: Wrist-worn triaxial accelerometry reliably predicted energy expenditure during common physical activities <6 METs. More consistent correlations were found when the accelerometer was worn on the non-dominant wrist rather than the dominant wrist.
Authors: Heleen Demeyer; Divya Mohan; Chris Burtin; Anouk W Vaes; Matthew Heasley; Russell P Bowler; Richard Casaburi; Christopher B Cooper; Solange Corriol-Rohou; Anja Frei; Alan Hamilton; Nicholas S Hopkinson; Niklas Karlsson; William D-C Man; Marilyn L Moy; Fabio Pitta; Michael I Polkey; Milo Puhan; Stephen I Rennard; Carolyn L Rochester; Harry B Rossiter; Frank Sciurba; Sally Singh; Ruth Tal-Singer; Ioannis Vogiatzis; Henrik Watz; Rob Van Lummel; Jeremy Wyatt; Debora D Merrill; Martijn A Spruit; Judith Garcia-Aymerich; Thierry Troosters Journal: Chronic Obstr Pulm Dis Date: 2021-10-28
Authors: Arindam Dutta; Owen Ma; Meynard Toledo; Alberto Florez Pregonero; Barbara E Ainsworth; Matthew P Buman; Daniel W Bliss Journal: Sensors (Basel) Date: 2018-11-12 Impact factor: 3.576