Harmonizing Monitor- and Report-Based Estimates of Physical Activity Through Calibration

in Kinesiology Review
View More View Less
Restricted access

Purchase article

USD  $24.95

Student 1 year online subscription

USD  $41.00

1 year online subscription

USD  $55.00

Student 2 year online subscription

USD  $79.00

2 year online subscription

USD  $105.00

A major challenge in public health research on physical activity is in reconciling the commonly observed differences between estimates provided by monitor-based methods and report-based methods. Calibration methods are widely used in measurement research to rescale or convert an estimate so that it matches a more robust criterion value. Accelerometry-based activity monitors are routinely calibrated against more robust estimates of indirect calorimetry, but surprisingly little research is done to calibrate report-based estimates. The purpose of the paper was to document the utility of calibration methods for harmonizing estimates from report-based measures to correspond with data from monitor-based methods. While there are also limitations associated with monitor-based methods, this procedure provides a systematic way to promote harmonization of estimates obtained from these different methods. This enables the more feasible report-based measures to provide more accurate group-level estimates of physical activity for different research applications.

The author is with the Dept. of Kinesiology, Iowa State University, Ames, IA.

Address correspondence to gwelk@iastate.edu.
  • Atienza, A.A., Moser, R.P., Perna, F., Dodd, K., Ballard-Barbash, R., Troiano, R.P., . . . Berrigan, D. (2011). Self-reported and objectively measured activity related to biomarkers using NHANES. Medicine & Science in Sports & Exercise, 43(5), 815821. PubMed ID: 20962693 doi:10.1249/MSS.0b013e3181fdfc32

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Belcher, B.R., Moser, R.P., Dodd, K.W., Atienza, A., Ballard-Barbash, R., & Berrigan, D. (2015). Self-reported versus accelerometer-measured physical activity and biomarkers among NHANES youth. Journal of Physical Activity & Health, 12(5), 708716. PubMed ID: 24909801 doi:10.1123/jpah.2013-0193

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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), 555565. doi:10.1080/02664763.2014.978271

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bowles, H.R. (2012). Measurement of active and sedentary behaviors: Closing the gaps in self-report methods. Journal of Physical Activity & Health, 9(Suppl. 1), 14. doi:10.1123/jpah.9.s1.s1

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Calabró, M.A., Kim, Y., Franke, W.D., Stewart, J.M., & Welk, G.J. (2015). Objective and subjective measurement of energy expenditure in older adults: A doubly labeled water study. European Journal of Clinical Nutrition, 69(7), 850855. doi:10.1038/ejcn.2014.241

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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. doi:10.1186/s12966-014-0119-7

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Calabró, M.A., Welk, G.J., Carriquiry, A.L., Nusser, S.M., Beyler, N.K., & Matthews, C.E. (2009). Validation of a computerized 24-hour physical activity recall (24PAR) instrument with pattern-recognition activity monitors. Journal of Physical Activity & Health, 6(2), 211220. doi:10.1123/jpah.6.2.211

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gabriel, K.K.P., Morrow, J.R., Jr., & Woolsey, A.L.T. (2012). Framework for physical activity as a complex and multidimensional behavior. Journal of Physical Activity & Health, 9(Suppl. 1), S11S18. doi:10.1123/jpah.9.s1.s11

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Johannsen, D.L., Calabró, M.A., Stewart, J., Franke, W., Rood, J.C., & Welk, G.J. (2010). Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Medicine & Science in Sports & Exercise, 42(11), 21342140. PubMed ID: 20386334 doi:10.1249/MSS.0b013e3181e0b3ff

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y., & Welk, G.J. (2015a). Criterion validity of competing accelerometry-based activity monitoring devices. Medicine & Science in Sports & Exercise, 47(11), 24562463. doi:10.1249/MSS.0000000000000691

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y., & Welk, G.J. (2015b). 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), 1218. doi:10.1186/s12889-015-2558-8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y., & Welk, G.J. (2017). 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), 255261. PubMed ID: 27019092 doi:10.1080/02640414.2016.1161218

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, C.E., Berrigan, D., Fischer, B., Gomersall, S.R., Hillreiner, A., Kim, Y., . . . Welk, G.J. (in press). Use of previous-day recalls of physical activity and sedentary behavior in epidemiologic studies: Results from four instruments. BMC Public Health.

    • Search Google Scholar
    • Export Citation
  • Matthews, C.E., Keadle, S.K., Berrigan, D., Staudenmayer, J., Maurice, P.S., Troiano, R.P., . . . Freedson, P.S. (2018). Influence of accelerometer calibration approach on MVPA estimates for adults. Medicine & Science in Sports & Exercise, 50(11), 22852291. PubMed ID: 29933344 doi:10.1249/MSS0000000000001691

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, C.E., Keadle, S.K., Sampson, J., Lyden, K., Bowles, H.R., Moore, S.C., . . . Fowke, J.H. (2013). Validation of a previous-day recall measure of active and sedentary behaviors. Medicine & Science in Sports & Exercise, 45(8), 16291638. PubMed ID: 23863547 doi:10.1249/MSS.0b013e3182897690

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nusser, S.M., Beyler, N.K., Welk, G.J., Carriquiry, A.L., Fuller, W.A., & King, B.M.N. (2012). Modeling errors in physical activity recall data. Journal of Physical Activity & Health, 9(Suppl. 1), S56S67. doi:10.1123/jpah.9.s1.s56

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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), 880887. PubMed ID: 28526365 doi:10.1016/j.amepre.2016.12.010

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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), e269. PubMed ID: 25448192 doi:10.2196/jmir.3626

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Saint-Maurice, P.F., & Welk, G.J. (2015). Validity and calibration of the youth activity profile. PLoS One, 10(12), e0143949. PubMed ID: 26630346 doi:10.1371/journal.pone.0143949

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Saint-Maurice, P.F., Welk, G.J., Bartee, R.T., & Heelan, K. (2017). Calibration of context-specific survey items to assess youth physical activity behaviour. Journal of Sports Sciences, 35(9), 866872. PubMed ID: 27326748 doi:10.1080/02640414.2016.1194526

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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 International Physical Activity Questionnaire varies by fitness level. Journal of Physical Activity & Health, 13(1), 7986. PubMed ID: 25898394 doi:10.1123/jpah.2014-0543

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Troiano, R.P., Berrigan, D., Dodd, K.W., Masse, L.C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine & Science in Sports & Exercise, 40(1), 181188. PubMed ID: 18091006 doi:10.1249/mss.0b013e31815a51b3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Troiano, R.P., Gabriel, K.K.P., Welk, G.J., Owen, N., & Sternfeld, B. (2012). Reported physical activity and sedentary behavior: Why do you ask? Journal of Physical Activity & Health, 9(Suppl. 1), S68S75. doi:10.1123/jpah.9.s1.s68

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Troiano, R.P., McClain, J.J., Brychta, R.J., & Chen, K.Y. (2014). Evolution of accelerometer methods for physical activity research. British Journal of Sports Medicine, 48(13), 10191023. PubMed ID: 24782483 doi:10.1136/bjsports-2014-093546

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tucker, J.M., Welk, G.J., & Beyler, N.K. (2011). Physical activity in US adults: Compliance with the physical activity guidelines for Americans. American Journal of Preventive Medicine, 40(4), 454461. PubMed ID: 21406280 doi:10.1016/j.amepre.2010.12.016

    • Crossref
    • Search Google Scholar
    • Export Citation
  • U.S. Department of Health and Human Services. (2008). Physical activity guidelines for Americans. http://www.healthgov/paguidelines/guidelines/default.aspx

    • Export Citation
  • Welk, G.J. (2005). Principles of design and analyses for the calibration of accelerometry-based activity monitors. Medicine & Science in Sports & Exercise, 37(Suppl. 11), S501S511. PubMed ID: 16294113 doi:10.1249/01.mss.0000185660.38335.de

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Welk, G.J., Bai, Y., Saint-Maurice, P.F., Candeleria, N., Allums-Featherston, K.A., & Anderson, K. (2016). Design and evaluation of the NFL PLAY 60 Fitnessgram partnership project. Research Quarterly for Exercise and Sport, 87(1), 113. PubMed ID: 26889580 doi:10.1080/02701367.2015.1127126

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Welk, G.J., Beyler, N.K., Kim, Y., & Matthews, C.E. (2017). Calibration of self-report measures of physical activity and sedentary behavior. Medicine & Science in Sports & Exercise, 49(7), 14731481. PubMed ID: 28240704 doi:10.1249/MSS.0000000000001237

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Welk, G.J., & Kim, Y. (2015). The context of physical activity in a representative sample of adults. Medicine & Science in Sports & Exercise, 47(10), 21022110. PubMed ID: 25699482 doi:10.1249/MSS.0000000000000641

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Welk, G.J., Kim, Y., Stanfill, B., Osthus, D.A., Calabró, A.M., Nusser, S.M., & Carriquiry, A. (2014). Validity of 24-h physical activity recall: Physical Activity Measurement Survey. Medicine & Science in Sports & Exercise, 46(10), 20142024. PubMed ID: 24561818 doi:10.1249/MSS.0000000000000314

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 104 88 7
Full Text Views 5 5 0
PDF Downloads 2 2 0