Validity of consumer-based physical activity monitors

Medicine and Science in Sports and Exercise

Volumn 46, Issue 9, 2014, Pages 1840-1848

  Lee, Jung Min ^a   Kim, Youngwon ^b   Welk, Gregory J ^b  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Activity Monitor; Energy Expenditure; Physical Activity; Validation

Indexed keywords

ACCELEROMETRY; ADULT; AMBULATORY MONITORING; BASKETBALL; DEVICES; ENERGY METABOLISM; EXERCISE TEST; FEMALE; HUMAN; MALE; MOTOR ACTIVITY; OXYGEN CONSUMPTION; PHYSIOLOGY; RUNNING; VALIDATION STUDY; WALKING; YOUNG ADULT;

ACCELEROMETRY; ADULT; BASKETBALL; ENERGY METABOLISM; EXERCISE TEST; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; OXYGEN CONSUMPTION; RUNNING; WALKING; YOUNG ADULT;

EID: 84906748660     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0000000000000287     Document Type: Article

References (24)

1. Bassett DR, Ainsworth BE, Swartz AM, Strath SJ, O'Brien WL, King GA. Validity of four motion sensors in measuring moderate intensity physical activity. Med Sci Sports Exerc. 2000;32(9 Suppl): S471-80.
2. Bassett DR Jr. Validity and reliability issues in objective monitoring of physical activity. Res Q Exerc Sport. 2000;71(2 Suppl):S30-6.
3. Bonomi AG, Plasqui G, Goris AH, Westerterp KR. Estimation of free-living energy expenditure using a novel activity monitor designed to minimize obtrusiveness. Obesity (Silver Spring). 2010; 18(9):1845-51.
4. Calabro MA, Stewart JM, Welk GJ. Validation of patternrecognition monitors in children using doubly labeled water. Med Sci Sports Exerc. 2013;45(7):1313-22.
5. Calabro MA,Welk GJ, Eisenmann JC. Validation of the SenseWear Pro Armband algorithms in children. Med Sci Sports Exercise. 2009;41(9):1714-20.
6. Compher C, Frankenfield D, Keim N, Roth-Yousey L. Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006;106(6): 881-903.
7. Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR Jr. Refined two-regression model for the ActiGraph accelerometer. Med Sci Sports Exerc. 2010;42(5):1029-37.
8. Dannecker KL, Sazonova NA, Melanson EL, Sazonov ES, Browning RC. A comparison of energy expenditure estimation of several physical activity monitors. Med Sci Sports Exerc. 2013; 45(11):2105-12.
9. Dixon PM, Pechmann JHK. A statistical test to show negligible trend. Ecology. 2005;86(7):1751-6.
10. Drenowatz C, Eisenmann JC. Validation of the SenseWear Armband at high intensity exercise. Eur J Appl Physiol. 2011;111(5): 883-7.
11. Hauck WW, Anderson S. A new statistical procedure for testing equivalence in two-group comparative bioavailability trials. J Pharmacokinet Biopharm. 1984;12(1):83-91.
12. Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32(9 Suppl):S442-9.
13. Hendrick P, Boyd T, Low O, et al. Construct validity of RT3 accelerometer: a comparison of level-ground and treadmill walking at self-selected speeds. J Rehabil Res Dev. 2010;47(2):157-68.
14. Johannsen DL, Calabro MA, Stewart J, Franke W, Rood JC, Welk GJ. Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Med Sci Sports Exer. 2010;42(11): 2134-40.
15. John D, Tyo B, Bassett DR. Comparison of four ActiGraph accelerometers during walking and running. Med Sci Sports Exerc. 2010;42(2):368-74.
16. Lee KY, Macfarlane DJ, Cerin E. Comparison of three models of ActiGraph accelerometers during free living and controlled laboratory conditions. Eur J Sport Sci. 2013;13(3):332-9.
17. Rosdahl H, Gullstrand L, Salier-Eriksson J, Johansson P, Schantz P. Evaluation of the Oxycon Mobile metabolic system against the Douglas bag method. Eur J Appl Physiol. 2010;109(2):159-71.
18. Slootmaker SM, Chinapaw MJ, Seidell JC, van Mechelen W, Schuit AJ. Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention. Prev Med. 2010;51(1):31-6.
19. Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol. 2009;107(4):1300-7.
20. Trost SG, Way R, Okely AD. Predictive validity of three ActiGraph energy expenditure equations for children. Med Sci Sports Exerc. 2006;38(2):380-7.
21. Welk GJ, Almeida J, Morss G. Laboratory calibration and validation of the Biotrainer and Actitrac activity monitors. Med Sci Sports Exerc. 2003;35(6):1057-64.
22. Welk GJ, Blair SN, Wood K, Jones S, Thompson RW. A comparative evaluation of three accelerometry-based physical activity monitors. Med Sci Sports Exerc. 2000;32(9 Suppl):S489-97.
23. Welk GJ, Schaben JA, Morrow JR Jr. Reliability of accelerometrybased activity monitors: a generalizability study. Med Sci Sports Exerc. 2004;36(9):1637-45.
24. Wellek S. Testing Statistical Hypotheses of Equivalence. Boca Raton (FL): Chapman & Hall/CRC; 2003, xv, 284 p.