Professor
Exercise Physiology
HPER 343
865-974-1272
scrouter@utk.edu
COURSES TAUGHT
| KNS 380 | Exercise for Special Populations |
| KNS 493 | Directed Independent Study |
| KNS 532 | Exercise Physiology |
| KNS 661 | Seminar in Exercise and Applied Physiology |
EDUCATION
| Post-Doc | Cornell University (2005-07) | Nutritional Sciences |
| PhD | University of Tennessee, Knoxville (2005) | Exercise Phyisiology |
| MS | University of Wisconsin, La Crosse (2000) | Cardiac Rehabilitation/Adult Fitness |
| BS | Linfield College (1998) | Exercise Science |
RESEARCH INTERESTS
Dr. Crouter’s main research interests are in the area of measuring physical activity and energy expenditure in adults and youth using wearable physical activity monitors that have various sensors such as accelerometers and gyroscopes. Much of his work has been focused on improving how wearable devices are used to estimate energy expenditure and activity type in free-living youth and adults using machine learning algorithms. Currently, Dr. Crouter is working on the use of machine learning algorithms for classification of activity type and prediction of energy expenditure using accelerometer and gyroscope sensors worn at different body locations.
ADDITIONAL INFORMATION
Dr. Crouter is the director of the Applied Physiology Laboratory at The University of Tennessee. He is a Fellow of the American College of Sports Medicine and has served on several committees for the ACSM. He is an associate editor for Medicine and Science in Sports and Exercise, and serves on the editorial board for the Journal for the Measurement of Physical Behaviors. Dr. Crouter has served on committees within the National Physical Activity Plan Alliance (U.S. report card for children and adolescents advisory committee), Centers for Disease Control and Prevention and National Collaborative on Childhood Obesity Research (development of a youth compendium of physical activities), and the National Academy of Sciences, Engineering, and Medicine (dietary reference intakes for energy committee).
CURRENT FUNDING
Title: The Timing of Physical Activity for Pregnancy Hyperglycemia, a Randomized Crossover Trial
- Funder: American Diabetes Association (11-22-ICTSN-29; 11/15/2022-11/14/2025)
- Role: Co-investigator; PI: S. Ehrlich
- Major Goals: This randomized crossover trial will examine the potential effects of the timing of physical activity (i.e., after breakfast vs. after dinner) on glucose across the 24-cycle in pregnant individuals with gestational diabetes or gestational glucose intolerance.
Title: Use of Accelerometer and Gyroscope Data to Improve Precision of Estimates of Physical Activity Type and Energy Expenditure in Free-Living Adults.
- Funder: National Institutes of Health (R01DK129428-01A1; 05/15/2022-04/30/2026)
- Role: PI; Co-PI: W. Ding
- Major Goals: This project will develop and validate machine learning algorithms using raw accelerometer and gyroscope sensor data collected at the hip and wrist for use in free-living adults. These algorithms will be able to estimate energy expenditure and classify the type of activity being performed, significantly improving upon current methods that typically only use accelerometer data. These algorithms will have direct benefit to those examining dose response relationships between sedentary behaviors, physical activity and health outcomes in adults, in the physical activity and public health fields.
Title: Multilevel Physical Activity Intervention for Low Income Public Housing Residents.
- Funder: National Institutes of Health (R01MD015165; 05/27/2021-02/28/2026)
- Role: Consultant; PIs: L. Quintiliani and D. Bowen
- Major Goals: Acting as a consultant for the duration of the project. A focus of this project will be to examine the efficacy of individual and environmental intervention strategies on the physical activity behaviors among low-income residents of Boston public housing developments.
Title: Neighborhood Risk Factors for Falls in the Elderly
- Funder: National Institutes of Health (1RO1AG066492-01A1; 09/01/2020-04/30/2025)
- Role: Co-I (PI of sub-contract); PI: W. Li
- Description: This study investigates the differences in time and space use in relation to falls among older adults living in rural, suburban, and urban neighborhoods.
Title: Digital Health Supported Weight Management Intervention Delivered by Community Health Workers Among Public Housing Residents.
- Funder: National Institutes of Health (1RO1CA238335; 02/14/2020-01/31/2025)
- Role: Consultant; PI: L. Quintiliani
- Major Goals: Acting as a consultant for the duration of the project. This project will examine the efficacy of using a computer-assisted counseling system for weight management in overweight/obese multicultural residents of Boston public housing developments
Title: Translating Basic Habituation Research to Childhood Obesity Treatment
- Funder: National Institutes of Health (1RO1DK121360-01; 03/01/2019-02/31/2024)
- Role: Co-investigator; PI: H. Raynor
- Major Goals: This grant is testing a limited dietary prescription within an 18-month family-based multicomponent intervention on weight outcomes in children
COMPLETED FUNDING (Last five years)
Title: Novel Approaches for Predicting Unstructured Short Periods of Physical Activities in Youth
- Funder: National Institutes of Health (R01HD083431-02; 06/06/2016-03/31/2021)
- Role: PI; Co-PIs: W. Ding (UMass Boston) and E. Keogh (U.C. Riverside)
- Description: This project will develop and validate machine learning algorithms using raw accelerometer data collected at the hip or wrist for use in youth. These algorithms will be able to detect the start and end times of free-living physical activity bouts, classify the type of activity being performed, and estimate energy expenditure, significantly improving upon current methods.
Title: Neighborhood Risk Factors for Falls in the Elderly
- Funder: National Institutes of Health (R56AG028738-05A1; 09/30/2017-08/31/2019)
- Role: Co-I (PI of sub-contract); PI: W. Li (UMass Medical School)
- Description: This study investigates the differences in time and space use in relation to falls among older adults living in rural, suburban, and urban neighborhoods.
SELECTED RECENT PUBLICATIONS
(names in italics were students working directly with Dr. Crouter)
For complete list of published work see: http://www.ncbi.nlm.nih.gov/sites/myncbi/scott.crouter.1/bibliography/41160973/public/?sort=date&direction=ascending.
Butte, N.F., Watson, K.B., Ridley, K., Zakeri, I.F., McMurray, R.G., Pfeiffer, K.A., Crouter, S.E., Herrmann, S., Bassett, D.R., Long, A., Berhane, Z., Trost, S.G., Ainsworth, B.E., Berrigan, D., and Fulton, J.E. Youth compendium of physical activities: activity codes and metabolic intensities. Medicine and Science in Sports and Exercise. 50: 246-256, 2017. https://doi.org/10.1249/MSS.0000000000001430.
Opotowsky, A.R., Rhodes, J., Landzberg, M., Graham, D.A., Bhatt, A.B., Yeh, D.D., Crouter S., and Tikkanen, A.U. A randomized trial comparing cardiac rehabilitation to standard-of-care for adults with congenital heart disease. World Journal for Pediatric and Congenital Heart Surgery. 9: 185-193, 2018. doi: http://dx.doi.org/10.1177/2150135117752123.
Hibbing, P.R., LaMunion, S.R., Kaplan, A.S., and Crouter, S.E. Energy expenditure estimation with ActiGraph GT9X inertial measurement unit. Medicine and Science in Sports and Exercise. 50: 1093-1102, 2018. doi: https://dx.doi.org/10.1249/MSS.0000000000001532.
Marcotte, R.T, Bassett, D.R., Weinhandl, J.T., and Crouter, S.E. Application of the ActiGraph GT9X IMU for the assessment of turning during walking and running. Biomedical Physics and Engineering Express. 4:065003, 2018. doi: https://doi.org/10.1088/2057-1976/aad0d0.
Crouter S.E., Hibbing P.R., and LaMunion S.R. Objective Measures of Sedentary Time in Youth. Journal for the Measurement of Physical Behaviour. 1: 136-142, 2018. doi: https://doi.org/10.1123/jmpb.2018-0007.
Tenan, M.S., Bohannon, A.W., Macfarlane, D.J., and Crouter S.E. Determining day-to-day human variation in indirect calorimetry using Bayesian decision theory. Experimental Physiology. 1-7, 2018. doi: https://doi.org/10.1113/EP087115.
Gharghabi, S., Yeh C.M., Ding Y., Ding W., Hibbing P., LaMunion S., Kaplan A., Crouter S.E., and Keogh E. Domain agnostic online semantic segmentation for multi-dimensional time series. Data Mining and Knowledge Discovery. 33: 96-130, 2019. doi: https://doi.org/10.1007/s10618-018-0589-3.
Katzmarzyk, P.T., Denstel, K.N, Beals, K., Carlson, J., Crouter, S.E., McKenzie, T.L., Pate, R.R., Sisson, S.B., Staiano, A.E., Stanish, H.I., Ward, D.S., Whitt-Glover, M., and Wright, C. Results from the United States 2018 report card on physical activity for children and youth. Journal of Physical Activity and Health. 15 (suppl 2): S422-S424, 2018. doi: http://dx.doi.org/10.1123/jpah.2018-0476.
Cooley, M, Blonquist, T.M., Hong, F., Nayak, M.M., Crouter, S.E., Hayman, L.L., Jaklitsch, M., Bueno, R., and Emmons, K.M. The effect of a lifestyle risk reduction intervention on lifestyle adherence and health-related quality of life in non-small cell lung cancer survivors: A feasibility study. Psycho-Oncology. 28: 920-923, 2019. doi: http://dx.doi.org/10.1002/pon.5002.
Camhi, S., Troped, P.J., Garvey, M., Hayman, L.L., Must, A., Lichtenstein, A.H., and Crouter, S.E. Associations between walk score and objective measures of physical activity in urban overweight and obese women. PloS One. 14: e0214092 doi: http://dx.doi.org/10.1371/journal.pone.0214092.
LaMunion, S.R., Blythe, A.L., Hibbing P.R., Kaplan, A.S., Clendenin, B.J., and Crouter, S.E. Use of consumer monitors for estimating energy expenditure in youth. Applied Physiology, Nutrition, and Metabolism. 45:161-168, 2020. doi: http://dx.doi.org/10.1139/apnm-2019-0129.
Spaeth, A.M., Hawley, N.L., Raynor, H.A., Jelalian, E., Greer, A., Crouter S.E., Coffman, D.L., Carskadon, M.A., Owens, M.A., Wing, R.R., and Hart, C.N. Sleep, energy balance, and meal timing in school-aged children. Sleep Medicine. 60: 139-144, 2019. doi: http://dx.doi.org/10.1016/j.sleep.2019.02.003.
Crouter, S.E., LaMunion, S.R., Hibbing, P.R., Kaplan, A.S., and Bassett, D.R. Accuracy of the Cosmed K5 Portable Calorimeter. PloS One. 14: e0226290, 2019. doi: https://dx.doi.org/10.1371/journal.pone.0226290.
Hibbing, P.R., Bassett, D.R., Coe, D.P., LaMunion, S.R., and Crouter, S.E. Youth metabolic equivalents differ depending on operational definitions. Medicine and Science in Sports and Exercise. 52: 1846-1853, 2020. doi: http://dx.doi.org/10.1249/MSS.0000000000002299.
Ehrlich, S., Casteel, A.J., Crouter, S.E., Hibbing, P.R., Hedderson, M.M., Brown, S.D., Galarce, M., Coe, D.P., Bassett, D.R., Ferrara, A. Alternative wear-time estimation methods compared to traditional diary logs for wrist-worn ActiGraph accelerometers in pregnant women. Journal for the Measurement of Physical Behaviour. 3: 110-117, 2020. doi: http://dx.doi.org/10.1123/jmpb.2019-0049.
LaMunion, S.R., Fitzhugh, E.F., and Crouter, S.E. Challenges and opportunities related to the objective assessment of physical activity within United States surveillance systems. Annals of Epidemiology. 43: 1-10, 2020. doi: http://dx.doi.org/10.1016/j.annepidem.2020.01.011.
Hibbing, P.R., LaMunion, S.R., Hilafu, H., and Crouter, S.E. Evaluating the performance of sensor-based bout detection algorithms: the transition pairing method. Journal for the Measurement of Physical Behaviour. 3: 219-227, 2020. doi: http://dx.doi.org/10.1123/jmpb.2019-0039.
Hawley, N.L., Pomer, A., Rivara, A.C., Rosenthal, S.L., Duckham, R.L., Carlson, J.C., Naseri, T., Reupena, M.S., Selu, M., Lupematisila, V., Unasa, F., Vesi, L., Fatu, T., Unasa, S., Faasalele-Savusa, K., Wetzel, A.I., Soti-Ulberg, C., Prescott, V., Choy, C.C., Crouter, S.E., Redline, S., Deka, R., Kershaw, E.E., Urban, Z., Minster, R.L., Weeks, D.E., and McGarvey, S.T. Exploring the paradoxical relationship of a CREBRF missense variant with body mass index and diabetes among Samoans: study protocol for the Soifua Manuia (‘Good Health’) observational cohort study. Journal of Medical Internet Research (JMIR) Research Protocols. 9: e17329, 2020. doi: http://dx.doi.org/10.2196/17329.
Imani, S., Madrid, F., Ding, W., Crouter S.E., and Keogh E. Introducing time series snippets: a new primitive for summarizing long time series. Data Mining and Knowledge Discovery. 34: 1713-1743, 2020. doi: http://dx.doi.org/10.1007/s10618-020-00702-y.
LaMunion, S.R., Crouter, S.E., Broskey, N.T., Altazan, A.D., and Redman, L.M. Discrimination of wear and non-wear in infants using data from hip- and ankle-worn devices. PloS One. 15: e0240604, 2020. doi: http://dx.doi.org/10.1371/journal.pone.0240604.
Quintiliani, L.M., Whiteley, J.A., Murillo, J., Lara, R., Jean, C., Quinn, E.K., Kane, J., Crouter, S.E., Heeren, T.C., and Bowen, D.J. Community health worker-delivered weight management intervention among public housing residents: a feasibility study. Preventive Medicine Reports. 22: 101360, 2021. doi: http://dx.doi.org/10.1016/j.pmedr.2021.101360.
Almeida, M., Zhuang, Y., Ding, W., Crouter, S., and Chen, P. Mitigating class boundary label uncertainty to reduce both model bias and variance. ACM Transactions on Knowledge Discovery from Data. 15: 27, 1-18, 2021. doi: http://dx.doi.org/10.1145/3429447.
Andreeva, O., Almeida, M., Ding, W., Crouter, S., and Chen, P. Maximizing fairness in deep neural networks via mode connectivity. IEEE Intelligent Systems. 37(3): 36-44, 2022. doi: http://dx.doi.org/10.1109/MIS.2022.3168514.
Amaral, K., Zihan, L., Ding, W., Crouter, S., and Chen, P. SummerTime: Variable-length time series summarization with application to physical activity analysis. ACM Transactions on Computing for Healthcare. 3: Article No 47, 1-15, 2022. doi: http://dx.doi.org/10.1145/3532628.
Strohacker, K., Toth, L.P., Sheridan, L.F., and Crouter, S.E. Tracking of walking and running for exercise: alignment between ecological momentary assessment and accelerometer-based estimates. Journal for the Measurement of Physical Behaviour. 5: 156-167, 2022. doi: http://dx.doi.org/10.1123/jmpb.2022-0016.
Solar, C., Nansubuga, A., Murillo, J., Ranker, L., Borrelli, B., Bowen, D.J., Xuan, Z., Kane, J., Werntz, S., Crouter, S.E., and Quinitliani, L.M. Mobile health plus community health worker support for weight management among public housing residents (Path to Health): a randomized controlled trial protocol. Contemporary Clinical Trials. 119: 106836, 2022. doi: http://dx.doi.org/10.1016/j.cct.2022.106836.
Tikkanen, A.U., Vova, J., Holman, L., Chrisman, M., Clarkson, K., Santiago, R., Schonberger, L., White, K., Badaly, D., Gauthier, N., Pham, TD.N., Britt, J.J., Crouter, S.E., Giangregoria, M., Nathan, M., and Akamagwuna, U.O. Core Components of a rehabilitation program in pediatric cardiac disease. Frontiers in Pediatrics. 11: 1104794. doi: http://dx.doi.org/10.3389/fped.223.1104794.
Ahn, S., Chung, J.W., Crouter, S.E., Lee, J-A., Lee, C.E., and Anderson, J.G. Gait and/or balance disturbances associated with Alzheimer’s dementia among older adults with amnestic mild cognitive impairment: A longitudinal observation study. Journal of Advanced Nursing 00, 1-13. doi: http://dx.doi.org/10.1111/jan.15768.
Quintiliani, L.M., Dedier, J., Amezquita, M., Sierra-Ruiz, M., Romero, D., Murillo, J., Mahar, S., Goodman, M., Kane, J.B., Cummings, D., Wooley, T.G., Spinola, I., and Crouter, S.E. Community Walks: a cluster randomized controlled trial of a multilevel physical activity intervention for low income public housing residents. BMC Public Health. 23: Article No: 1676, 2023. doi: http://dx.doi.org/10.1186/s12889-023-16574-y.