Refined two-regression model for the ActiGraph accelerometer.
OBJECTIVE
The purpose of this study was to refine the 2006 Crouter two-regression model to eliminate the misclassification of walking or running when starting an activity in the middle of a minute on the ActiGraph clock.


METHODS
Forty-eight participants (mean [SD] age = 35 [11.4] yr) performed 10-min bouts of various activities ranging from sedentary behaviors to vigorous physical activity. Eighteen activities were divided into three routines, and 20 participants performed each routine. Participants wore an ActiGraph accelerometer on the hip, and a portable indirect calorimeter was used to measure energy expenditure. Forty-five routines were used to develop the refined two-regression model, and 15 routines were used to cross validate the model. Coefficient of variation (CV) was used to classify each activity as continuous walking or running (CV < or = 10) or intermittent lifestyle activity (CV > 10).


RESULTS
An exponential regression equation and a cubic equation using the natural log of the 10-s counts were developed to predict METs every 10 s for walking or running and intermittent lifestyle activities, respectively. The refined method examines each 10-s epoch and all combinations of the surrounding five 10-s epochs to find the lowest CV. In the cross-validation group, the refined method was not significantly different from measured METs for any activity (P > 0.05), except cycling (P < 0.05). In addition, the 2006 and the refined two-regression models had similar accuracy and precision for estimating energy expenditure during structured activities.


CONCLUSIONS
The refined two-regression model should eliminate the misclassification of transitional minutes when changing activities that start and stop in the middle of a minute on the ActiGraph clock, thus improving the estimate of free-living energy expenditure.
Crouter
Scott E
SE
Department of Exercise and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125, USA. scott.crouter@umb.edu
Kuffel
Erin
E
Haas
Jere D
JD
Frongillo
Edward A
EA
Bassett
David R
DR
D056044:Actigraphy / Q000295:instrumentation* / Q000592:standards*; D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009043:Motor Activity / Q000502:physiology; D012044:Regression Analysis; D011795:Surveys and Questionnaires; D013714:Tennessee
Lancet. 1986 Feb 8;1(8476):307-10
2868172
Int J Sports Med. 2003 Jan;24(1):43-50
12582951
Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S471-80
10993417
Eur J Clin Nutr. 2008 Jun;62(6):704-11
17440515
Med Sci Sports Exerc. 2003 Feb;35(2):320-6
12569223
Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S450-6
10993414
Int J Sports Med. 2001 May;22(4):280-4
11414671
Med Sci Sports Exerc. 2003 Aug;35(8):1447-54
12900703
Res Q Exerc Sport. 2000 Mar;71(1):36-43
10763519
J Appl Physiol (1985). 2006 Apr;100(4):1324-31
16322367
Eur J Appl Physiol. 2006 Dec;98(6):601-12
17058102
Br J Sports Med. 2008 Mar;42(3):217-24
17761786
Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S442-9
10993413
Med Sci Sports Exerc. 1998 May;30(5):777-81
9588623