Calibration of the GENEA accelerometer for assessment of physical activity intensity in children

Journal of Science and Medicine in Sport

Volumn 16, Issue 2, 2013, Pages 124-128

  Phillips, Lisa R S ^a   Parfitt, Gaynor ^b   Rowlands, Alex V ^b  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

ActiGraph; Activity intensity; Cut points; Physical activity; Wrist worn

Indexed keywords

ACCELEROMETER; ACTIMETRY; ADOLESCENT; ARTICLE; AUTOANALYZER; BODY MASS; CALIBRATION; CHILD; CONCURRENT VALIDITY; CONTROLLED STUDY; CORRELATION COEFFICIENT; EXERCISE INTENSITY; FEMALE; HIP; HUMAN; HUMAN EXPERIMENT; MALE; MONITOR; MONITORING; NORMAL HUMAN; OXYGEN CONSUMPTION; PHYSICAL ACTIVITY; RECEIVER OPERATING CHARACTERISTIC; SCHOOL CHILD; SEDENTARY LIFESTYLE; SUPINE POSITION; VALIDATION STUDY; WRIST;

ACCELEROMETRY; ACTIGRAPHY; ADOLESCENT; ANALYSIS OF VARIANCE; CALIBRATION; CALORIMETRY, INDIRECT; CHILD; EXERCISE; FEMALE; HIP; HUMANS; MALE; OXYGEN CONSUMPTION; REGRESSION ANALYSIS; ROC CURVE; RUNNING; WALKING; WRIST;

EID: 84873569639     PISSN: 14402440     EISSN: 18781861     Source Type: Journal    
DOI: 10.1016/j.jsams.2012.05.013     Document Type: Article

References (16)

1. Trost S., Pate R., Freedson P., et al. Using objective physical activity measures with youth: how many days of monitoring are needed?. Med Sci Sports Exerc 2000, 32:426-431.
2. Colley R., Gorber S.C., Tremblay M. Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Rep 2010, 21:63-64.
3. Crocker P.R.E., Holowachuk D.R., Kowalski K.C. Feasibility of using the tritrac motion sensor over a 7-day trial with older children. Pediatr Exerc Sci 2001, 13:70-81.
4. Troiano R., Berrigan D., Dodd K., et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008, 40:181-188.
5. Evenson K.R., Terry J.W. Assessment of differing definitions of accelerometer non-wear time. Res Q Exerc Sport 2009, 80(2):355-362.
6. Esliger D.W., Rowlands A.V., Hurst T.L., et al. Validation of the GENEA accelerometer. Med Sci Sports Exerc 2011, 43:1085-1093.
7. Van Hees V.T., Renström F., Wright A., et al. Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist worn tri-axial accelerometer. PLoS ONE 2011, 6:e22922. 10.1371/journal.pone.0022922.
8. 2 portable metabolic system. Int J Sports Med 2001, 22:280-284.
9. Puyau M.R., Adolph A.L., Vohra F.A., et al. Validation and calibration of physical activity monitors in children. Obes Res 2002, 10:150-157.
10. Karantonis D.M., Narayanan M.R., Mathie M., et al. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans Inf Technol Biomed 2006, 10(1):156-167.
11. Stevens J., Repeated measures analysis, Chapter 13 Applied Multivariate Statistics for the Social Sciences 2002, Lawrence Erlbaum Associates, New Jersey, p. 520-521. 4th ed.
12. Meng X.L., Rosenthal R., Rubin D.B. Comparing correlated correlation coefficients. Psychol Bull 1992, 111:172-175.
13. Harrell J., McMurray R., Bagget C., et al. Energy costs of physical activity in children and adolescents. Med Sci Sports Exerc 2005, 37:329-336.
14. Mathie M.J., Coster A.C.F., Lovell N.H., et al. Accelerometry: providing an integrated, practical method for long term, ambulatory monitoring of human movement. Physiol Meas 2004, 25:R1-R20.
15. Reilly J.J., Penpraze V., Hislop J., et al. Objective measurement of physical activity and sedentary behaviour: review with new data. Arch Dis Child 2008, 93:614-619.
16. Trost S.G., Pate R.R., Sallis J.F., et al. Age and gender differences in objectively measured physical activity in youth. Med Sci Sports Exerc 2002, 34:350-355.