A Pilot Study of the the impact of time trends on exercise frequency and enjoyment in college-age male and female students

Issue: Vol. 5 No 3

Published by Journal of Fitness Research, 08/12/2016. Volume 5.3

Tags: Physical Activity , Exercise , Frequency , Enjoyment , Time Trends , PACES

Download PDF Version »

  1. Jacob Brunnquell (Corresponding Author)
    University of Wisconsin - Eau Claire, Department of Kinesiology
  2. Katee Spaeth
    University of Wisconsin - Eau Claire, Department of Kinesiology
  3. Malorie Casalegno
    University of Wisconsin - Eau Claire, Department of Kinesiology
  4. Cole Gatzke
    University of Wisconsin - Eau Claire, Department of Kinesiology
  5. Scott Mateski
    University of Wisconsin - Eau Claire, Department of Kinesiology
  6. Matt Wiggins
    University of Wisconsin - Eau Claire, Department of Kinesiology
  7. Saori Braun
    University of Wisconsin - Eau Claire, Department of Kinesiology

Abstract

Introduction: The breadth of research regarding time trends in exercise participation is miniscule, although it is a facet of exercise behavior and could contribute to exercise adherence. Furthermore, exercise enjoyment may also play a role in exercise adherence. The purpose of this study was to identify any correlation between exercise time trends on exercise enjoyment and frequency in order to identify times of the day when exercise may be more enjoyable.

Participants: Forty-one college-age participants completed the study, seventeen were male and twenty-four were female, ranging in age from 18 to 27.

Methods: Participants’ attendance to university fitness facilities were tracked for 3 weeks. A demographics survey was distributed before the data collection period. A survey measuring enjoyment called Physical Activity Enjoyment Scale (PACES) was distributed to participants after data collection was completed.

Results: Two independent t-tests looking at exercise frequency and PACES scores between males and females indicated the average exercise frequency for males was significantly different than average exercise frequency for females (M = 8.75; SD = 7.71 vs. M = 2.79; SD = 3.81). A one-way ANOVA indicated that time trend categories was a significant predictor of exercise frequency, F(2, 37) = 7.01, MSE = 30.70, p = .003.Another one-way ANOVA indicated that time trend categories was a significant predictor of PACES scores,F(2,33) = 4.80, MSE = 166.01, p = .015. A Pearson correlation analysis revealed a significant correlation between exercise frequency and PACES scores (r = .390, p < .05).

Conclusions: Certain exercise time trends may be more efficient than others at promoting exercise enjoyment and frequency. It could be suggested that more frequent exercisers may enjoy exercise more.More research regarding time trends and their effect on frequency and enjoyment is needed; such data could aid in health promotion to sedentary populations.

Download PDF Version »


Related Articles

Also In This Issue

« Back to Articles


Article Title

A Pilot Study of the the impact of time trends on exercise frequency and enjoyment in college-age male and female students

Journal Title

Journal of Fitness Research Volume 5.3

Online Publication Date

08/12/2016

Author Names

Jacob Brunnquell (Corresponding Author)
Katee Spaeth
Malorie Casalegno
Cole Gatzke
Scott Mateski
Matt Wiggins
Saori Braun

DellaVigna, S. & Malmendier, U. (2006). Paying not to go to the gym. The American Economic Review, 694-719.

2. Ebben, W. & Brudzynski, L. (2008). Motivations and barriers to exercise among college students. Journal of Exercise Physiology Online, 11(5), 1-11.

3. Plante, T. G., Oppezzo, M. A., Diaz, L. A., Pistoresi, S., Santos, M., & Fahey, J. E. (2014). The influence of exercise environment and gender on mood and exertion. International Journal of Exercise Science, 7(3), 220-227.

4. Leslie, E., Owen, N., Salmon, J., Bauman, A., Sallis, J. F., & Lo, S. K. (1999). Insufficiently active Australian college students: Perceived personal, social, and environmental influences. Preventive Medicine, 28(1), 20-27.

5. Lerner, J., Burns, C., & Róiste, Á. D. (2011). Correlates of physical activity among college students. Recreational Sports Journal, 35(2), 95-106.

6. Wilson, K. & Brookfield, D. (2009). Effect of goal setting on motivation and adherence in a six-week exercise program. International Journal of Sport and Exercise Psychology, 7(1), 89-100.

7. Martin, J. E. & Dubbert, P. M. (1985). Adherence to exercise. Exercise and Sport Sciences Reviews, 13(1), 137-168.

8. Dishman, R. K., Sallis, J. F., & Orenstein, D. R. (1985). The determinants of physical activity and exercise. Public Health Reports, 100, 158-170.

9. Heinzelmann, F., & Bagley, R. W. (1970). Response to physical activity programs and their effects on health behavior. Public Health Reports, 85, 905-911.

10. Martin, J. E., Dubbert, P. M., Ketell, A. D., Thompson, J. K., Raczynski, J. R., Lake, M., Smith, P. O., … Cohen, R.E. (1984). Behavioral control of exercise in sedentary adults: Studies 1 through 6. Journal of Consulting and Clinical Psychology, 52, 795-811.

11. Wankel, L. M. (1985). Personal and situational factors affecting exercise involvement: The importance of enjoyment. Research Quarterly for Exercise and Sport, 56, 275-282.

12. Kendzierski, D. & DeCarlo, K. J. (1991). Physical activity enjoyment scale: Two validation studies. Journal of Sport and Exercise Psychology, 13, 50-64.

13. Buchanan, C. (2008). Social norms theory and exercise, nutrition, and sexual behaviors and their relationship to perception of health in female and male college students (Doctoral dissertation). Retrieved from ProQuest LLC. (3332744)

14. Kilpatrick, M., Herbert, E., & Bartholomew, J. (2005). College students\' motivation for physical activity: Differentiating men and women\'s motives for sport participation and exercise. Journal of American College Health, 54(2), 87-94.

15. Jones, H., Green, D. J., George, K. P., Black, M. A., & Atkinson, G. (2009). Evidence for a greater elevation in vascular shear stress after morning exercise. Medicine and Science in Sports and Exercise, 41(6), 1188–1193.

16. Mazzoccante, R. P., Sales, M. M., Castro de Sousa, I. R., Novade de Moraes, J. F. V., Simões, G. H., & Campbell, C. S. G. (2015). Effects of combined exercises performed in different periods of the day on post-exercise blood pressure Brazilian Jiu Jitsu athletes. Revista Brasileira de Ciência e Movimento, 23(4), 150-158.

17. Callero, P. (1985). Role-identity salience. Social Psychology Quarterly, 48(3), 203-215.

18. Wininger, S. R. & Pargman, D. (2003) Assessment of factors associated with exercise enjoyment. Journal of Music Therapy, XL(1), 57-73.

19. Anderson, D., Cychosz, C., & Frank, W. (1998). Association of exercise identity with measures of exercise commitment and physiological indicators of fitness in a law enforcement cohort. Journal of Sport Behavior, 21(3), 233-241.

20. Cox, K. L., Burke, V., Gorely, T. J., Beilin, L. J., & Puddey, I. B. (2003). Controlled comparison of retention and adherence in home- vs center-initiated exercise interventions in women ages 40–65 years: The S.W.E.A.T. study (sedentary women exercise adherence trial). Preventive Medicine, 36(1), 17-29.

21. Roberts, C. K. & Barnard, R. J. (2005). Effects of exercise and diet on chronic disease. Journal of Applied Physiology, 98(1), 3-30.

22. Chan, C. B. & Ryan, D. A. (2009). Assessing the effects of weather conditions on physical activity participation using objective measures. International Journal of Environmental Research and Public Health, 6(10), 2639–2654.

No citations available


Comments

Blog comments powered by Disqus