Journal of Behavioral Medicine

, Volume 36, Issue 1, pp 20–33 | Cite as

A transdisciplinary approach to the selection of moderators of an exercise promotion intervention: baseline data and rationale for Colorado STRIDE

  • Renee E. MagnanEmail author
  • Renea Nilsson
  • Bess H. Marcus
  • Joseph T. Ciccolo
  • Angela D. Bryan


A transdisciplinary approach incorporating biological, psychological, behavioral, and genetic factors was taken to better identify proposed moderators of the effectiveness of an intervention to increase physical activity. This paper illustrates how theory-based individual difference variables can be integrated into a complex randomized controlled trial. The transdisciplinary framework guiding the selection of moderators, the COSTRIDE intervention study and sample, and the relationships among baseline variables are provided. Participants were non-active individuals randomly assigned to either the STRIDE exercise or health-and-wellness contact control condition. Structural equation modeling was utilized to demonstrate that relationships among baseline variables confirm hypothesized relationships in the transdisciplinary framework. Preliminary data from COSTRIDE suggest that interventions among sedentary individuals may be more effective if a broader range of factors influencing physical activity are considered.


Exercise Intervention study Transdisciplinary Physiology Mood 



The research was supported by grants awarded to Angela Bryan from the National Cancer Institute (RO1 CA109858), and the General Clinical Research Center Program of the National Center for Research Resources, National Institutes of Health (M01-RR00051)—now the Colorado Clinical and Translational Sciences Institute (UL1-RR025780).

Supplementary material

10865_2011_9385_MOESM1_ESM.doc (86 kb)
Supplementary material 1 (DOC 86 kb)


  1. Adlard, P., Perreau, V., & Cotman, C. (2005). The exercise-induced expression of BDNF within the hippocampus varies across life-span. Neurobiology of Aging, 26, 511–520.PubMedCrossRefGoogle Scholar
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRefGoogle Scholar
  3. Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453–474.CrossRefGoogle Scholar
  4. Annesi, J. J. (2005). Relations of self-motivation, perceived physical condition, and exercise induced changes in revitalization and exhaustion with attendance in women initiating a moderate cardiovascular exercise regimen. Women and Health, 42, 77–93.Google Scholar
  5. Armitage, C. J. (2005). Can the theory of planned behavior predict the maintenance of physical activity. Health Psychology, 24, 235–245.PubMedCrossRefGoogle Scholar
  6. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  7. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.PubMedCrossRefGoogle Scholar
  8. Blair, S. N., Haskell, W. L., Ho, P., Paffenbarger, R. S., Vranizan, K. M., Farquhar, J. W., et al. (1985). Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. American Journal of Epidemiology, 122, 794–804.PubMedGoogle Scholar
  9. Blom, G. (1958). Statistical estimates and transformed beta variables. New York: Wiley.Google Scholar
  10. Bock, B. C., Marcus, B. H., Pinto, B. M., & Forsyth, L. H. (2001). Maintenance of physical activity following an individualized motivationally tailored intervention. Annals of Behavioral Medicine, 23, 79–87.PubMedCrossRefGoogle Scholar
  11. Bock, B. C., Morrow, K. M., Becker, B. M., Williams, D. M., Tremont, G., Gaskins, R. B., et al. (2010). Yogas as a complementary treatment for smoking cessation: Rationale, study design, and participant characteristics of the Quitting-in-Balance study. BMC Complimentary and Alternative Medicine, 10, 14.CrossRefGoogle Scholar
  12. Booth, F. W., & Neufer, P. D. (2006). Exercise genomics and proteomics. In C. M. Tipton (Ed.), ACSM’s Advanced Exercise Physiology (pp. 623–651). Baltimore, MD: Lippincott, Williams& Wilkins.Google Scholar
  13. Borg, G. (1998). Borg’s perceived exertion and pain scales (pp. 44–52). Champaign, IL: Human Kinetics.Google Scholar
  14. Brown, R. A., Abrantes, A. M., Read, J. P., Marcus, B. H., Jakicic, J., Strong, D. R., et al. (2009). Aerobic exercise for alcohol recover: Rationale, program description, and preliminary findings. Behavior Modification, 33, 220–249.PubMedCrossRefGoogle Scholar
  15. Bryan, A. D., Hutchison, K. E., Seals, D. R., & Allen, D. E. (2007a). A transdisciplinary model integrating genetic, physiological, and psychological correlates of voluntary exercise. Health Psychology, 26, 30–39.PubMedCrossRefGoogle Scholar
  16. Bryan, A. D., Magnan, R. E., Nilsson, R., Marcus, B. H., Tompkins, S. A., & Hutchison, K. E. (2011). The big picture of individual differences in physical activity behavior change: A transdisciplinary approach. Psychology of Sport and Exercise, 12, 20–26.PubMedCrossRefGoogle Scholar
  17. Bryan, A. D., & Rocheleau, C. A. (2002). Predicting aerobic versus resistance exercise using the theory of planned behavior. American Journal Health Behavior, 26, 83–94.CrossRefGoogle Scholar
  18. Bryan, A., Schmiege, S. J., & Broaddus, M. R. (2007b). Mediational analysis in HIV/AIDS research: Estimating multivariate path analytic models in a structural equation modeling framework. AIDS and Behavior, 11, 365–383.PubMedCrossRefGoogle Scholar
  19. Buckworth, J., Lee, R. E., Regan, G., Schneider, L. K., & DiClemente, C. C. (2007). Decomposing intrinsic and extrinsic motivation for exercise: Application to stages of motivational readiness. Psychology of Sport and Exercise, 8, 441–461.CrossRefGoogle Scholar
  20. Caldwell Hooper, A. E., & Bryan, A. D. (2011). What keeps a body moving? The BDNF SNP and intrinsic motivation to exercise. Manuscript under review.Google Scholar
  21. Christou, D. D., Gentile, C. L., DeSouza, C. A., Seals, D. R., & Gates, P. E. (2005). Fatness is a better predictor of cardiovascular disease risk factor profile than aerobic fitness in healthy men. Circulation, 111, 1904–1914.PubMedCrossRefGoogle Scholar
  22. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.Google Scholar
  23. Dishman, R. K., Washburn, R. A., & Schoeller, D. A. (2001). Measurement of physical activity. Quest, 53, 295–309.CrossRefGoogle Scholar
  24. Donovan, M. J., Lin, M. I., Wiegn, P., Ringstedt, T., Kraemer, R., Hahn, R., et al. (2000). Brain derived neurotropic factor is an endothelial cell survival factor required for intramyocardial vessel stabilization. Development, 127, 4531–4540.PubMedGoogle Scholar
  25. Dunn, A. L., Marcus, B. H., Kampert, J. B., Garcia, M. E., Kohl, H. W., & Blair, S. N. (1999). Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: A randomized trial. Journal of the American Medical Association, 281, 327–334.PubMedCrossRefGoogle Scholar
  26. Edwards, J. R. (2001). Ten difference score myths. Organizational Research Methods, 4, 265–287.CrossRefGoogle Scholar
  27. Evans, S. L., Davy, K. P., Stevenson, E. T., & Seals, D. R. (1995). Physiological determinants of 10 km performance in highly trained female runners of different ages. Journal of Applied Physiology, 78, 1931–1941.PubMedGoogle Scholar
  28. Focht, B. C., Knapp, D. J., Gavin, T. P., Raedeke, T. D., & Hickner, R. C. (2007). Affective and self-efficacy responses to acute aerobic exercise in sedentary older and younger adults. Journal of Aging and Physical Activity, 15, 123–138.PubMedGoogle Scholar
  29. Hall, E. E., Ekkekakis, P., & Petruzzello, S. J. (2002). The affective beneficence of vigorous exercise revisited. British Journal of Health Psychology, 7, 47–66.PubMedCrossRefGoogle Scholar
  30. Hardy, C. J., & Rejeski, W. J. (1989). Not what, but how one feels: The measurement of affect during exercise. Journal of Sport and Exercise Psychology, 11, 304–317.Google Scholar
  31. Haskell, W. A., Lee, I., Pate, R. R., Powell, K. E., Blair, S. N., Franklin, B. A., et al. (2007). Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise, 39, 1423–1434.PubMedCrossRefGoogle Scholar
  32. Jerome, G. J., Marquez, D. X., McAuley, E., Canaklisova, S., Snook, E., & Vickers, M. (2002). Self-efficacy effects on feeling states in women. International Journal of Behavioral Medicine, 9, 139–154.PubMedCrossRefGoogle Scholar
  33. Johnson, R. A., & Mitchell, G. S. (2003). Exercise-induced changes in hippocampal brain-derived neurotrophic factor and neuotrophin-3: Effects of rat strain. Brain Research, 983, 108–114.PubMedCrossRefGoogle Scholar
  34. Judd, C. M., & McClelland, G. H. (1989). Data analysis: A model comparison approach. San Diego, CA: Harcourt, Brace, Jovanovich.Google Scholar
  35. Jung, M. E., Fitzgeorge, L., Prapavessis, H., Faulkner, G., & Maddison, R. (2010). The getting physical on cigarettes trial: Rationale and methods. Mental Health and Physical Activity, 3, 35–44.CrossRefGoogle Scholar
  36. Kendzierski, D., & DeCarlo, K. J. (1991). Physical activity enjoyment scale: Two validation studies. Journal of Sport and Exercise Psychology, 13, 50–64.Google Scholar
  37. Kwan, B. M., & Bryan, A. (2010a). In-task and post-task affective response to exercise: Translating exercise intentions into behavior. British Journal of Health Psychology, 15, 115–131.PubMedCrossRefGoogle Scholar
  38. Kwan, B. M., & Bryan, A. (2010b). Affective response to exercise as a component of exercise motivation: Self-efficacy, outcome expectations and temporal stability of intentions. Psychology of Sport and Exercise, 11, 71–79.PubMedCrossRefGoogle Scholar
  39. Kwan, B. M., Tompkins, S. A., Bryan, A. D., Marcus, B. H., & Ciccolo, J. T. (2007, May). Physical activity measures in sedentary participants: Comparison of 3 day PAR, 3-item self-report and accelerometer. In Poster presented at the American College of Sports Medicine conference. New Orleans, LA.Google Scholar
  40. Lee, R. E., & DiClemente, C. C. (2001). Extrinsic and intrinsic motivation: Which is important for exercise? Medicine and Science in Sports and Exercise, 33, S112.CrossRefGoogle Scholar
  41. Lox, C. L., Jackson, S., Tuholski, S., et al. (2000). Revisiting the measurement of exercise induced feeling states: The physical activity affect scale (PAAS). Measurement in Physical Education and Exercise Science, 4, 79–95.CrossRefGoogle Scholar
  42. Maddison, R., Roberts, V., Bullen, C., McRobbie, H., Jiang, Y., Prapavessis, H., et al. (2010). Design and conduct of a pragmatic randomized controlled trial to enhance smoking-cessation outcomes with exercise: The Fit2Quit study. Mental Health and Physical Activity, 3, 92–101.CrossRefGoogle Scholar
  43. Marcus, B. H., King, T. K., Albrecht, A. E., Parisi, A. F., & Abrams, D. B. (1997). Rationale, design, and baseline data for commit to quit: An exercise efficacy trail for smoking cessation among women. Preventive Medicine, 26, 586–597.PubMedCrossRefGoogle Scholar
  44. Marcus, B. H., Napolitano, M. A., King, A. C., Lewis, B. A., Whiteley, J. A., Albrecht, A., et al. (2007a). Telephone versus print delivery of an individualized motivationally-tailored physical activity intervention: Project STRIDE. Health Psychology, 26, 401–409.PubMedCrossRefGoogle Scholar
  45. Marcus, B. H., Napolitano, M. A., King, A. C., Lewis, B. A., Whiteley, J. A., Albrecht, A., et al. (2007b). Examination of print and telephone channels for physical activity promotion: Rationale, design, and baseline data from project STRIDE. Contemporary Clinical Trials, 28, 90–104.PubMedCrossRefGoogle Scholar
  46. Marcus, B. H., Nigg, C. R., Riebe, D., & Forsyth, L. H. (2000). Interactive communication strategies: Implications for population-based physical activity promotions. American Journal of Preventive Medicine, 19, 121–126.PubMedCrossRefGoogle Scholar
  47. McAuley, E., Duncan, T., & Tammen, V. V. (1989). Psychometric properties of the intrinsic motivation inventory in a competitive sport setting: A confirmatory factor analysis. Research Quarterly for Exercise and Sport, 11, 84–93.Google Scholar
  48. McAuley, E., Jerome, G. J., Marquez, D. X., Elavsky, S., & Blissmer, B. (2003). Exercise self efficacy in older adults: Social, affective, and behavioral influences. Annals of Behavioral Medicine, 25, 1–7.PubMedCrossRefGoogle Scholar
  49. McAuley, E., Wraith, S., & Duncan, T. E. (1991). Self-efficacy, perceptions of success, and intrinsic motivation for exercise. Journal of Applied Social Psychology, 21, 139–155.CrossRefGoogle Scholar
  50. Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2004). Actual causes of death in the United States, 2000. Journal of the American Medical Association, 291, 1238–1245.Google Scholar
  51. Olson, A. K., Eadie, B. D., Ernst, C., & Christie, B. R. (2006). Environmental enrichment and voluntary exercise massively increase neurogenesis in the adult hippocampus via dissociable pathways. Hippocampus, 16, 250–260.PubMedCrossRefGoogle Scholar
  52. Penedo, F. J., & Dahn, J. R. (2005). Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Current Opinion in Psychiatry, 18, 189–193.PubMedCrossRefGoogle Scholar
  53. Pereira, M. A., FitzerGerald, S. J., Gregg, E. W., Joswiak, M. L., Ryan, W. J., Suminski, R. R., et al. (1997). A collection of physical activity questionnaires for health-related research. Medicine and Science in Sports and Exercise, 29, S1–S205.PubMedGoogle Scholar
  54. Petruzzello, S. J., Hall, E. E., & Ekkekakis, P. (2001). Regional brain activation as a biological marker of affective responsivity to acute exercise: Influences of fitness. Psychophysiology, 38, 99–106.PubMedCrossRefGoogle Scholar
  55. Pimentel, A. E., Gentile, C. L., Tanaka, H., Seals, D. R., & Gates, P. E. (2003). Greater rate of decline in maximal aerobic capacity with age in endurance-trained than in sedentary men. Journal of Applied Physiology, 94, 2406–2413.PubMedGoogle Scholar
  56. Pleis, J. R., Lucas, J. W., & Ward, B. W. (2009). Summary health statistics for U.S. adults: National health interview survey, 2008. National Center for Health Statistics. Vital Health Statistics, 10, 74–75.Google Scholar
  57. Prochaska, J. O., & DiClemente, C. C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51, 390–395.PubMedCrossRefGoogle Scholar
  58. Reed, J. (2005). Acute physical activity and self-reported affect: A review. In A. V. Clark (Ed.), Causes, role, and influence of mood states (pp. 91–113). Hauppauge, NY: Nova Science Publishers.Google Scholar
  59. Rothman, A. J., Bladwin, A. S., & Hertel, A. W. (2004). Self-regulation and behavior change. In R. R. Baumeister & K. D. Vohs (Eds.), Handbook of self regulation: Research, theory and applications (pp. 130–148). New York: Guilford.Google Scholar
  60. Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.CrossRefGoogle Scholar
  61. Ryan, R. M., Frederick, C. M., Lepes, D., Rubio, N., & Sheldon, K. M. (1997). Intrinsic motivation and exercise adherence. International Journal of Sport Psychology, 28, 335–354.Google Scholar
  62. Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177.PubMedCrossRefGoogle Scholar
  63. Sevick, M., Napolitano, M. A., Papandonatos, G. D., Gordon, A. J., Reiser, L. M., & Marcus, B. H. (2007). Cost-effectiveness of alternative approaches for motivating activity in sedentary adults: Results of project STRIDE. Preventive Medicine, 45, 54–61.PubMedCrossRefGoogle Scholar
  64. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton-Mifflin (hereafter, SCC).Google Scholar
  65. Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42, 893–898.CrossRefGoogle Scholar
  66. Steiger, J. H., & Lind, J. C. (1980). Statistically based tests for the number of factors. In Paper presented at the annual spring meeting of the Psychometric Society. Iowa City, IA.Google Scholar
  67. Svebak, E., & Murgatroyd, S. (1985). Metamotivational domincance: A multimethod validation of reversal theory constructs. Journal of Personality and Social Psychology, 48, 107–116.CrossRefGoogle Scholar
  68. U.S. Department of Health and Human Services. (2008). Physical activity guidelines for Americans. Available at: Accessed November 4, 2008.
  69. Vallerand, R. J., & Fortier, M. S. (1998). Measures of intrinsic and extrinsic motivation in sport and physical activity: A review and critique. In J. Duda (Ed.), Advances in sport and exercise psychology measurement (pp. 81–101). Morgantown, WV: Fitness Information Technology.Google Scholar
  70. Williams, D. M., Dunsiger, S., Ciccolo, J. T., Lewis, B. A., Albrecht, A. E., & Marcus, B. H. (2008). Acute affective response to a moderate-intensity exercise stimulus predicts physical activity participation 6 and 12 months later. Psychology of Sport and Exercise, 9, 231–245.PubMedCrossRefGoogle Scholar
  71. Yuan, K., & Bentler, P. M. (2000). Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. Sociological Methodology, 30, 167–202.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Renee E. Magnan
    • 1
    Email author
  • Renea Nilsson
    • 2
  • Bess H. Marcus
    • 3
  • Joseph T. Ciccolo
    • 4
  • Angela D. Bryan
    • 1
    • 5
  1. 1.Department of PsychologyUniversity of New MexicoAlbuquerqueUSA
  2. 2.Department of Psychology and NeuroscienceUniversity of ColoradoBoulderUSA
  3. 3.Department of Family and Preventive MedicineUniversity of California, San DiegoLa JollaUSA
  4. 4.Department of Behavioral and Social SciencesBrown UniversityProvidenceUSA
  5. 5.Department of Psychology and NeuroscienceUniversity of ColoradoBoulderUSA

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