ORIGINAL ARTICLES

A new 2-regression model for the Actical accelerometer

S E Crouter¹ and D R Bassett Jr²

¹ Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
² Department of Exercise, Sport and Leisure Studies, The University of Tennessee, Knoxville, TN, USA

Correspondence to:
Dr S Crouter, Department of Exercise and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, USA; Scott.crouter{at}umb.edu

Objective: The objective of this study was to develop a new 2-regression model relating Actical activity counts to METs.

Methods: Forty-eight participants (mean (SD) age 35 (11.4) years) performed 10 min bouts of various activities ranging from sedentary behaviours to vigorous physical activities. Eighteen activities were split into three routines with each routine being performed by 20 individuals. Forty-five routines were randomly selected for the development of a new 2-regression model and 15 tests were used to cross-validate the new 2-regression model and compare it against existing equations. During each routine, the participant wore an Actical accelerometer on the hip and oxygen consumption was simultaneously measured by a portable metabolic system. The coefficient of variation (CV) of four consecutive 15 s epochs was calculated for each minute. For each activity, the average CV and the counts min^–1 were calculated for minutes 4–9. If the CV was 13% a walk/run regression equation was used and if the CV was >13% a lifestyle/leisure time physical activity regression was used.

Results: An exponential regression line (R² = 0.912; standard error of the estimate (SEE) = 0.149) was used for activities with a CV13%, and a cubic regression line (R² = 0.884, SEE = 0.804) was used for activities with a CV>13%. In the cross-validation group the mean estimates, using the new 2-regression model with an inactivity threshold, were within 0.56 METs of measured METs for each of the activities performed (p0.05), except cycling (p<0.05).

Conclusion: For most activities examined the new 2-regression model predicted METs more accurately than currently available equations for the Actical accelerometer.

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