|KNS 380||Exercise for Special Populations|
|KNS 493||Directed Independent Study|
|KNS 532||Exercise Physiology|
Crouter’s main research interests are in the area of measuring physical activity and energy expenditure in adults and children using devices such as accelerometers, pedometers and heart rate monitors. Much of his work has been focused on improving how accelerometers are used to estimate energy expenditure in free-living children and adults and he has developed novel techniques for these estimations of energy expenditure using accelerometers. Currently Crouter is working on the use of machine learning algorithms for classification of activity type and prediction of energy expenditure using accelerometers worn at different body locations. Crouter is also investigating ways to reduce sedentary time in the workplace through the use of standing workstations and walking breaks.
|PhD||University of Tennessee, Knoxville||Exercise Phyisiology|
|MS||University of Wisconsin, La Crosse||Cardiac Rehabilitation/Adult Fitness|
|BS||Linfield College||Exercise Science|
Crouter is a Fellow of the American College of Sports Medicine, is an ACSM Certified Clinical Exercise Specialist, serves on the editorial board of ACSM’s Health and Fitness Journal, and serves on various committees within ACSM.
Crouter, S.E., Kuffel, E, Haas, J.D., Frongillo, E.A., and Bassett, D.R., Jr. Refined 2-regression model for the ActiGraph accelerometer. Medicine and Science in Sports and Exercise. 42: 1029-1037, 2010; doi: 10.1249/MSS.0b013e3181c37458. NIHMSID: NIHMS161238.
Crouter, S.E., DellaValle, D.M., Horton, M., Haas, J.D., Frongillo, E.A., and Bassett, D.R., Jr. Validity of the Actical for estimating free-living physical activity. European Journal of Applied Physiology. 111: 1381-1389, 2011; doi: 10.1007/s00421-010-1758-2. PMCID: PMC3110990.
Kuffel, E.E., Crouter, S.E., Haas, J.D., Frongillo, E.A., and Bassett, D.R., Jr. Validity of estimating minute-by-minute energy expenditure of continuous walking bouts by accelerometry. International Journal of Behavioral Nutrition and Physical Activity. 8: 92, 2011; doi: 10.1186/1479-5868-8-92.
Crouter, S.E., Horton, M, and Bassett, D.R., Jr. Use of a two-regression model for estimating energy expenditure in children. Medicine and Science in Sports and Exercise. 44: 1177-1185, 2012; doi: 10.1249/MSS.0b013e3182447825. PMCID: PMC3324667
Crouter, S.E., DellaValle, D.M., and Haas, J.D. Relationship between physical activity, physical performance, and iron status in adult women. Applied Physiology, Nutrition, and Metabolism. 37: 697-705, 2012; doi: 10.1139/h2012-044.
Churilla, J.R., Johnson, T.M., Magyari, P.M., Crouter, S.E. Descriptive analysis of resistance exercise and metabolic syndrome. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 6: 42-47, 2012; doi: 10.1016/j.dsx.2012.05.004.
Dudley, P., Bassett, D.R, John, D., Crouter, S.E. Validity of a multi-sensor armband for estimating energy expenditure during eighteen different activities. Journal of Obesity and Weight Loss Therapy, 2: 146, 2012; doi: 10.4172/2165-7904.1000146.
Crouter, S.E., DellaValle, D.M., Haas, J.D., Frongillo, E.A., and Bassett, D.R., Jr. Validity of ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living activity. Journal of Physical Activity and Health. 10: 504-514, 2013. PMCID: PMC4199088
Crouter, S.E., Horton, M, and Bassett, D.R. Validity of ActiGraph Child-Specific Equations during Various Physical Activities. Medicine and Science in Sports and Exercise. 45: 1403-1409, 2013; doi: 10.1249/MSS.0b013e318285f03b. PMCID: PMC3686914.
Taylor, N.J., Crouter, S.E., Lawton, R.J., Conner, M.T., and Prestwich, A. Development and validation of the online self-reported walking and exercise questionnaire (OSWEQ). Journal of Physical Activity and Health. 10: 1091-1101, 2013.
Ausburn, T.F., LaCoursiere, S., Crouter, S.E., And McKay, T. Review of Worksite Weight Management Programs. Workplace Health and Safety. 62: 122-126, 2014.
Mu, Y., Lo, H., Ding, W., Amaral, K., and Crouter, S.E. Bipart: Learning block structure for activity detection. IEEE Transactions on Knowledge and Data Engineering. 26: 2397-2409, 2014. Doi: 10.1109/TKDE.2014.2300480. PMCID: PMC3686914
Dentro, K.N, Beals, K. Crouter, S.E., Eisenmann, J.C., McKenzie, T.L., Pate, R.R., Saelens, B.E., Sisson, S.B., Spruijt-Metz, D., Sothern, M.S., and Katzmarzyk, P.T. Results From the United States’ 2014 Report Card on Physical Activity for Children and Youth. Journal of Physical Activity and Health. 11(Supp 1): S105-112, 2014.
Crouter, S.E., Flynn, J.I., and Bassett, D.R. Estimating Physical Activity in Youth Using a Wrist Accelerometer. Medicine and Science in Sports and Exercise. Epub ahead of print, September 9, 2014. doi: 10.1249/MSS.0000000000000502. NIHMS: NIHMS625482
Kim, Y., Crouter, S.E., Lee, J.M., Dixon, P.M., Gaesser, G.A., and Welk, G.J. Comparisons of Prediction Equations for Estimating Energy Expenditure in Youth. Journal of Science and Medicine in Sport. Epub ahead of print, October 18, 2014. doi: 10.1016/j.jsams.2014.10.002.