Research Publications on Assessment of Physical Activity

  1. Welk, G. J., Saint-Maurice, P. F., Kim, Y., Ellingson, L. D., Hibbing, P., Wolff-Hughes, D. L., & Perna, F. M. (2017). Understanding and interpreting error in physical activity data: insights from the FLASHE study. American journal of preventive medicine, 52(6), 836-838.
  2. 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.
  3. Saint-Maurice, P. F., Kim, Y., Hibbing, P., Oh, A. Y., Perna, F. M., & Welk, G. J. (2017). Calibration and validation of the Youth Activity Profile: the FLASHE study. American Journal of Preventive Medicine, 52(6), 880-887.
  4. Kim, Y., & Welk, G. J. (In Press). The accuracy of the 24-h activity recall method for assessing sedentary behaviour: the physical activity measurement survey (PAMS) project. Journal of Sports Sciences. 35(3):255-261.
  5. An, H.S, Jones, G.C., Kang, S.K., Welk, G.J. & Lee, J.M. (In Press). How valid are wearable physical activity trackers for measuring steps? European Journal of Sports Science.
  6. 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.
  7. Saint-Maurice, P. F., Welk, G. J., Bartee, R. T., & Heelan, K. (2016). Calibration of context-specific survey items to assess youth physical activity behaviour. Journal of Sports Sciences, June 1-7.
  8. Saint-Maurice, P. F., Kim, Y., & Welk, G. J. (2016). Evidence for data missing at random in youth physical activity monitoring research. Journal of Sports Sciences, April: 1-7.
  9. 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.
  10. Bai, Y., Welk G.J., Nam, Y.H., Lee, J.A., Lee, J.M., Kim, Y., Meier, N.F., & Dixon, P.M. (2016). Comparison of consumer and research monitors under semi-structured settings. Medicine & Science in Sports & Exercise, 48(1):151-8.
  11. 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.
  12. Saint-Maurice, P. F., Kim, Y., Welk, G. J., & Gaesser, G. A. (2016). Kids are not little adults: what MET threshold captures sedentary behavior in children? European Journal of Applied Physiology, 116(1), 29-38.
  13. Shook, R. P., Gribben, N. C., Hand, G. A., Paluch, A. E., Welk, G. J., Jakicic, J. M. & Blair, S. N. (2016). Subjective Estimation of Physical Activity Using the IPAQ Varies by Fitness Level. Journal of Physical Activity & Health. 13(1), 79-86.
  14. 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
  15. Lee, J. M., Kim, Y. W., Kwon, Y. S., Derrick, T. R., & Welk, G. J. (2015). Feasibility of calibrating smartphone to access physical activity. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 17(3), 1-10.
  16. Kim, Y., & Welk, G. J. (2015). Characterizing the context of sedentary lifestyles in a representative sample of adults: a cross-sectional study from the physical activity measurement study project. BMC Public Health, 15(1), 1.
  17. Saint-Maurice, P. F., & Welk, G. J. (2015). Validity and Calibration of the Youth Activity Profile. PloS one, 10(12).
  18. 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.
  19. 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.
  20. Welk, G. J., & Kim, Y. (2015). The Context of Physical Activity in a Representative Sample of Adults. Medicine and Science in Sports and Exercise. 47(10): 2102-2110.
  21. 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.
  22. 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.
  23. Beyler, N., Fuller, W., Nusser, S., & Welk, G. (2015). Predicting objective physical activity from self-report surveys: a model validation study using estimated generalized least-squares regression. Journal of Applied Statistics, 42(3), 555-565.
  24. 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
  25. Saint-Maurice, P. F., & Welk, G. J. (2014). Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of medical Internet research, 16(12). PMID: 25448192
  26. 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
  27. 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
  28. Saint-Maurice, P. F., Welk, G. J., Beyler, N. K., Bartee, R. T., & Heelan, K. A. (2014). Calibration of self-report tools for physical activity research: the Physical Activity Questionnaire (PAQ). BMC Public Health, 14(1), 461. PMID: 24886625
  29. Lee, J. M., Kim, Y., & Welk, G. J. (2014). Validity of Consumer-Based Physical Activity Monitors. Medicine and Science in Sports and Exercise. Sep;46(9):1840-8. PMID: 24777201.
  30. Welk, G. J., Kim, Y., Stanfill, B., Osthus, D. A., Calabro, A. M., Nusser, S. M., & Carriquiry, A. (2014). Validity of 24-h Physical Activity Recall: Physical Activity Measurement Survey. Medicine and Science in Sports and Exercise. 46(10), 2014-2024. PMID: 24561818
  31. Lee, J.M., Kim, Y., & Welk, G.J. (2014). Validity and utility of consumer based physical activity monitors. ACSM's Health & Fitness Journal. 18(4): 16-21
  32. Chen, S., Zhu, X., Welk, G.J., Kim, Y., Lee, J., & Meier, N.F. (2014). Using Sensewear armband and diet journal to promote adolescents’ energy balance knowledge and motivation. Journal of Sport and Health Science. 3(4): 326-332.
  33. 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
  34. 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
  35. Nusser SM, Beyler NK, Welk GJ, Carriquiry AL, Fuller WA, King B MN.(2012). Modeling errors in physical activity recall data. Journal of Physical Activity and Health. 9 (Suppl 1):S56-67.
  36. Troiano RP, Pettee Gabriel KK, Welk GJ, Owen N, Sternfeld B.  (2012). Reported physical activity and sedentary behavior: why do you ask? Journal of Physical Activity and  Health. 9 (Suppl 1):S68-75.
  37. 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.
  38. 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.
  39. 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
  40. 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
  41. Tucker, J. M., Welk, G., Nusser, S. M., Beyler, N. K., & Dzewaltowski, D. (2011). Estimating minutes of physical activity from the previous day physical activity recall: validation of a prediction equation. Journal of Physical Activity and Health. 8, 71-78.
  42. 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
  43. Martínez-Gómez D, Wärnberg J, Welk GJ, Sjöström M, Veiga OL, Marcos A. (2010).Validity of the Bouchard activity diary in Spanish adolescents. Public Health Nutrition. 2010 Feb;13(2):261-8. PMID: 19758479
  44. Wickel EE, Welk GJ. (2010). Applying Generalizability Theory to Estimate Habitual Activity Levels. Medicine and Science in Sports and Exercise 42(8):1528-34. PMID: 20139788
  45. Calabro MA, Welk GJ, Beyler N, Carriquiry AL, Nusser SM, Matthews CE. (2009). Validation of a computerized 24 hour physical activity recall (24hPAR) instrument with pattern recognition activity monitors. Journal of Physical Activity and Health. 6(2):211-20. PMID: 19420399
  46. 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
  47. Welk, G.J. (2008). The role of physical activity assessments for school-based physical activity promotion. Measurement in Physical Education and Exercise Science. 12: 184-206.
  48. 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
  49. 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
  50. Welk, G.J., Wickel, E., Petersen, M., Heitzler, C.D., Fulton, J.E., Poitter, L. (2007). Validity and Reliability of the Youth Media Campaign Longitudinal Survey. Medicine and Science in Sports and Exercise, 39(4), 612-621. PMID: 17414798
  51. Wickel, E.E., Welk, G.J., & Eisenmann, J.C. (2006). Concurrent validation of the Bouchard diary with an accelerometry-based activity monitor. Medicine and Science in Sports and Exercise, 38(2): 373-379. PMID: 16531909
  52. Welk, G.J. (2005). Principles of design and analyses for the calibration of accelerometry-based activity monitors. Medicine and Science in Sports and Exercise 37: S501-S511. PMID: 16294113
  53. McMurray, R.G., Ring, K.B. Treuth, M.S., Welk, G.J., Pate, R.R., Schmitz, M.K.  Pickrel, J., Gonzalez, V., Almedia, M.J.C.A., Rohm Young, D., & Sallis, J.F. (2004). Comparison of two approaches to structured physical activity surveys for adolescents. Medicine and Science in Sports and Exercise, 36(12):2135-2143. PMID: 15570151
  54. Welk, G.J., Dzewaltowski, D.A., Ryan, G.J., Sepulveda-Jowers, E.M., & Hill, J.L.  (2004). Comparison of the computerized ACTIVITYGRAM instrument and the Previous Day Physical Activity Recall for assessing physicial activity in children. Research Quarterly for Exercise and Sport, 75(4): 370-380. PMID: 15673036
  55. Welk, G.J., Morrow, J., & Schaben, J.A. (2004) Reliability of four accelerometry-based activity monitors: A generalizability study. Medicine and Science in Sports and Exercise 36(9), 1637-1645. PMID: 15354049
  56. Welk, G.J., Almeida, J., & Morss, G. (2003). Laboratory calibration and validation of the Biotrainer and Actitrac activity monitors. Medicine and Science in Sports and Exercise, 35, 1057-1064. PMID: 12783056
  57. Welk, G.J., Thompson, R.W. & Galper, D.I. (2001). A temporal validation of scoring algorithms for the 7-day physical activity recall. Measurement in Exercise Science and Physical Education, 5(3), 123-138.
  58. Welk, G.J., Differding, J.A., Thompson, R.W., Blair, S.N., Dziura, J., & Hart, P. (2000). The utility of the Digi-Walker step counter to assess daily physical activity patterns. Medicine and Science in Sports and Exercise, 32(9), S481-S488. PMID: 10993418
  59. Welk, G.J., Blair, S.N., Wood, K., Jones, S., & Thompson, K.W. (2000).  A comparative evaluation of three accelerometry-based physical activity monitors.  Medicine and Science in Sports and Exercise, 32(9), S489-S497. PMID: 10993419
  60. Welk, G.J., Corbin, C.B., & Dale, D. (2000) Measurement issues for the assessment of physical activity in children.  Research Quarterly for Exercise and Sport, 71(2 Suppl), S59-S73. PMID:10925827
  61. Welk, G.J., Corbin, C.B. & Kampert, J. (1998). The validity of the Tritrac-R3D activity monitor for the assessment of physical activity in children II: temporal relationships among objective assessments. Research Quarterly for Exercise and Sport, 69, 395-399. PMID: 9864757
  62. Welk, G.J., & Corbin, C.B. (1995). The validity of  the Tritrac-R3D activity monitor for the assessment of physical activity in children. Research Quarterly for Exercise and Sport, 66, 202-209. PMID: 7481081