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Accelerometer Output and MET Values of Common Physical Activities

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Specialty Orthopedics
Date 2010 Feb 10
PMID 20142781
Citations 51
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Abstract

Purpose: This article 1) provides the calibration procedures and methods for metabolic and activity monitor data collection, 2) compares measured MET values to the MET values from the compendium of physical activities, and 3) examines the relationship between accelerometer output and METs for a range of physical activities.

Methods: Participants (N = 277) completed 11 activities for 7 min each from a menu of 23 physical activities. Oxygen consumption (V O2) was measured using a portable metabolic system, and an accelerometer was worn. MET values were defined as measured METs (V O2/measured resting metabolic rate) and standard METs (V O2/3.5 mL.kg.min). For the total sample and by subgroup (age [young < 40 yr], sex, and body mass index [normal weight < 25 kg.m]), measured METs and standard METs were compared with the compendium, using 95% confidence intervals to determine statistical significance (alpha = 0.05). Average counts per minute for each activity and the linear association between counts per minute and METs are presented.

Results: Compendium METs were different than measured METs for 17/21 activities (81%). The number of activities different than the compendium was similar between subgroups or when standard METs were used. The average counts for the activities ranged from 11 counts per minute (dishes) to 7490 counts per minute (treadmill: 2.23 m.s, 3%). The r between counts and METs was 0.65.

Conclusions: This study provides valuable information about data collection, metabolic responses, and accelerometer output for common physical activities in a diverse participant sample. The compendium should be updated with additional empirical data, and linear regression models are inappropriate for accurately predicting METs from accelerometer output.

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References
1.
Crouter S, Clowers K, Bassett Jr D . A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol (1985). 2005; 100(4):1324-31. DOI: 10.1152/japplphysiol.00818.2005. View

2.
Ainsworth B, Haskell W, Whitt M, Irwin M, Swartz A, Strath S . Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000; 32(9 Suppl):S498-504. DOI: 10.1097/00005768-200009001-00009. View

3.
Withers R, Brooks A, Gunn S, Plummer J, Gore C, Cormack J . Self-selected exercise intensity during household/garden activities and walking in 55 to 65-year-old females. Eur J Appl Physiol. 2006; 97(4):494-504. DOI: 10.1007/s00421-006-0177-x. View

4.
Corder K, Brage S, Ekelund U . Accelerometers and pedometers: methodology and clinical application. Curr Opin Clin Nutr Metab Care. 2007; 10(5):597-603. DOI: 10.1097/MCO.0b013e328285d883. View

5.
Kozey S, Lyden K, Staudenmayer J, Freedson P . Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption. J Phys Act Health. 2010; 7(4):508-16. DOI: 10.1123/jpah.7.4.508. View