Research on Accelerometry-based Activity Monitors
One of the main focuses of our lab is to improve the accuracy, feasibility and utility of different types of accelerometry-based activity monitors as well as consumer-based monitors. As objective measurement methods, activity monitors are more robust to typically identified measurement errors (e.g. recall bias, subjectivity) than self-report methods. We have conducted research with most of the commonly used activity monitors that are available to researchers as well as many new consumer-based monitors.
The SenseWear armband monitor utilizes multiple heat detecting sensors in addition to a tri-axial accelerometer to assess physical activity, which considerably enhances its accuracy in comparison to other commonly used monitors. We have tested varying functions of the SenseWear armband relative to the doubly-labelled method, portable indirect calorimetry system, etc. The Sensewear was widely accepted as perhaps the most valid research grade tool. While it is no longer commercially available, our lab still uses it in studies as a de-facto "alloyed standard" for comparisons with other monitors and assessments.
Published Articles Related to Research Grade Monitors
- Welk, G. J., Beyler, N. K., Kim, Y., & Matthews, C. E. (2017). Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior. Medicine and science in sports and exercise.
- Ellingson, L. D., Hibbing, P. R., Kim, Y., Frey-Law, L. A., Saint-Maurice, P. F., & Welk, G. J. (2017). Lab-based validation of different data processing methods for wrist-worn ActiGraph accelerometers in young adults. Physiological Measurement, 38(6), 1045.
- Kim, Y., Hibbing, P., Saint-Maurice, P. F., Ellingson, L. D., Hennessy, E., Wolff-Hughes, D. L., & Welk, G. J. (2017). Surveillance of youth physical activity and sedentary behavior with wrist accelerometry. American Journal of Preventive Medicine, 52(6), 872-879.
- Ellingson, L. D., Schwabacher, I. J., Kim, Y., Welk, G. J., & Cook, D. B. (2016). Validity of an Integrative Method for Processing Physical Activity Data. Medicine and Science in Sports and Exercise, 48(8):1629-38.
- Hibbing, P. R., Kim, Y., Saint-Maurice, P. F., & Welk, G. J. (2016). Impact of activity outcome and measurement instrument on estimates of youth compliance with physical activity guidelines: a cross-sectional study. BMC Public Health, 16(1), 1.
- Tucker, J. M., Welk, G. J., Beyler, N. K., & Kim, Y. (2016). Associations Between Physical Activity and Metabolic Syndrome: Comparison Between Self-Report and Accelerometry. American Journal of Health Promotion, 30(3):155-62.
- Lee, J. M., Kim, Y., Bai, Y., Gaesser, G. A., & Welk, G. J. (2016). Validation of the SenseWear Mini Armband in Children during Semi-Structure Activity Settings. Journal of Science and Medicine in Sport, 19(1):41-5. PMID: 25459233
- Kim, Y., Welk, G. J., Braun, S. I., & Kang, M. (2015). Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications. PloS one, 10(2), e0118078.
- Kim, Y., & Welk, G. J. (2015). Criterion Validity of Competing Accelerometry-based Activity Monitoring Devices. Medicine and Science in Sports and Exercise. 47(11):2456-63.
- Laurson, K. R., Welk, G. J., & Eisenmann, J. C. (2015). Estimating physical activity in children: impact of pedometer wear time and metric. Journal of Physical Activity & Health, 12(1), 124-131.
- Kim, Y., Crouter, S. E., Lee, J. M., Dixon, P. M., Gaesser, G. A., & Welk, G. J. (2014). Comparisons of prediction equations for estimating energy expenditure in youth. Journal of Science and Medicine in Sport. doi: 10.1016/j.jsams.2014.10.002. PMID: 25459235
- Calabro, M. A., Kim, Y., Franke, W. D., Stewart, J. M., & Welk, G. J. (2014). Objective and subjective measurement of energy expenditure in older adults: a doubly labeled water study. European Journal of Clinical Nutrition. doi:10.1038/ejcn.2014.241 PMID: 25351651
- Calabró, M. A., Lee, J. M., Saint-Maurice, P. F., Yoo, H., & Welk, G. J. (2014). Validity of physical activity monitors for assessing lower intensity activity in adults. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 119. PMID: 25260625
- Calabro, M.A., Stewart, J.M., Welk, G.J. (2013). Validation of pattern-recognition monitors in children using doubly labeled water. Medicine and Science in Sports and Exercise. 45(7): 1313-1322. PMID: 23299766
- Smith KM, Lanningham-Foster LM, Welk GJ, Campbell CG. (2012). Validity of the SenseWear® Armband to predict energy expenditure in pregnant women. Medicine and Science in Sports and Exercise. 2012 Oct;44(10):2001-8. PMID: 22617395
- Welk, G.J., McClain, J., & Ainsworth, B.E. (2012). Protocols for evaluating equivalency of accelerometry-based activity monitors. Medicine and Science in Sports and Exercise. 44: S39-49. PMID: 22157773.
- Tucker J.M., Welk, G.J. & Beyler, N.K. (2011). Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans. American Journal of Preventive Medicine. 40(4):454-61. PMID: 21406280.
- Harrington, D.M., Welk, G.J. & Donnelly, A.E. (2011). Validation of MET estimates and step measurement using the ActivPAL physical activity logger. Journal of Sports Science. 29(6):627-33. PMID: 21360402
- Rowe, D. A., Welk, G. J., Heil, D. P., Mahar, M. T., Kemble, C. D., Calabro, M. A. et al. (2011). Stride rate recommendations for moderate-intensity walking. Medicine and Science in Sports and Exercise. 43, 312-318. PMID: 20543754
- Johannsen, D.L., Calabro, M.A., Stewart, J., Franke, W., Rood, J.C. and Welk, G.J. (2010). Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Medicine and Science in Sports and Exercise. Vol. 42, No. 11, pp. 2134-2140, PMID: 20386334
- Calabro, M.A., Welk, G.J., Eisenmann. (2009). Validation of the Sensewear Pro armband monitor algorithms in children. Medicine and Science in Sports and Exercise. Sep;41(9):1714-20.PMID: 19657300
- Welk, G.J., Eisenmann, J.C., Trost, S., Schaben, J.W., Dale, D.D. (2007) Calibration of the Biotrainer Pro Activity Monitor for Youth using Receiver Operator Characteristic (ROC) Curves. Pediatric Exercise Science, 19, 145-158. PMID: 17603138
- Welk, G.J., McClain, J., Eisenmann, J.C., Wickel, E.E., Beier, S. & Flakol, P. (2007). Field Validation of the MTI and BodyMedia monitors usingthe IDEEA monitor. Obesity, 15, 918-928. PMID: 17426327