Effect of efitbuddy on promoting physical activity and motivation in college students

Peng Zhang, You Fu, Ryan Burns, Steven Godin

Abstract

The purpose of this study was to examine the effect of a theory-based smartphone application, efitbuddy, on college students’ physical activity and motivation. A convenience sample of 106 college students (mean age = 20.4 ± 2.8 years; 77 females) were recruited from a university located in the Northeastern U.S. Participants installed the efitbuddy application on their smartphone, and used it every day over a 2-week time period. Physical activity was measured using a self-recall questionnaire and motivational variables were collected using established surveys. All measures were collected at baseline and at a 2-week post-test time-point. A 2 × 2 Doubly Multivariate Analysis of Covariance (MANCOVA) test was employed to test time main effect and the sex × time interaction effect on each outcome measure, using age as covariate.Results of the study indicated that there was a statistically significant multivariate model (Wilks’  = 0.87, F (12, 542.7)= 2.49, p = 0.003). Statistically significant effects included a sex main effect (F (1, 205) = 4.98, p = 0.002) and the statistical significance of the age covariate (F (3, 205) = 3.73, p = 0.012). There were no significant time main effects (p = 0.594). To conclude, efitbuddy has limited effect on young adults’ physical activity and motivation over a 2-week intervention. Additional research with longer intervention periods should be conducted to explore potential effectiveness.


Keywords

Smartphone application; Physical activity; Enjoyment; Self-efficacy; College student

References

Banas, T. (2017). How to Convert Pedometer Steps to Calories. Retrieved from https://www.livestrong.com/article/238020-how-to-convert-pedometer-steps-to-calories/

Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248-287. https://doi.org/10.1016/0749-5978(91)90022-L

Bort-Roig, J., Gilson, N., Puig-Ribera, A., Contreras, R., & Trost, S. (2014). Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine, 44(5), 671-686. https://doi.org/10.1007/s40279-014-0142-5

Conroy, D. E., Yang, C., & Maher, J. P. (2014). Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity. American Journal Of Preventive Medicine, 46(6), 649-652. https://doi.org/10.1016/j.amepre.2014.01.010

Conroy, M. B., Yang, K., Elci, O. U., Gabriel, K. P., Styn, M. A., Wang, J., & Burke, L. E. (2010). Physical activity self-monitoring and weight loss: 6-month results of the SMART trial. Medicine & Science in Sports & Exercise, 43, 1568-1574. https://doi.org/10.1249/MSS.0b013e31820b9395

Coughlin, S. S., Whitehead, M., Sheats, J. Q., Mastromonico, J., & Smith, S. (2016). A Review of Smartphone Applications for Promoting Physical Activity. Jacobs Journal Of Community Medicine, 2(1).

Crocker, P. E., Bouffard, M., & Gessaroli, M. E. (1995). Measuring enjoyment in youth sport settings: a confirmatory factor analysis of the Physical activity enjoyment scale. Journal Of Sport & Exercise Psychology, 17200-205. https://doi.org/10.1123/jsep.17.2.200

Department of Health and Ageing. (1999). National physical activity guidelines for Australians. Canberra, ACT, Australia: Author.

Fan, X., Miller, B. C., Park, K., Winward, B. W., Christensen, M., Grotevant, H. D., & Tai, R. H. (2006). An Exploratory Study about Inaccuracy and Invalidity in Adolescent Self-Report Surveys. Field Methods, 18(3), 223-244. https://doi.org/10.1177/152822X06289161

Fukuoka, Y., Kamitani, E., Dracup, K., & So Son, J. (2011). New Insights Into Compliance With a Mobile Phone Diary and Pedometer Use in Sedentary Women. Journal Of Physical Activity & Health, 8(3), 398-403. https://doi.org/10.1123/jpah.8.3.398

Fukuoka, Y., Vittinghoff, E., Jong, S. S., & Haskell, W. (2010). Innovation to motivation—pilot study of a mobile phone intervention to increase physical activity among sedentary women. Preventive Medicine: An International Journal Devoted To Practice And Theory, 51(3-4), 287-289. https://doi.org/10.1016/j.ypmed.2010.06.006

Hebden, L., Cook, A., van der Ploeg, H. P., & Allman-Farinelli, M. (2012). Development of smartphone applications for nutrition and physical activity behavior change. JMIR Research Protocols, 1(2), e9. https://doi.org/10.2196/resprot.2205

Huong Q, N., Dawn P, G., Seth, W., & et, a. (2009). Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD. International Journal Of COPD, Vol 2009, Iss Default, Pp 301-313.

Kendzierski, D., & DeCarlo, K. J. (1991). Physical activity enjoyment scale: two validation studies. Journal Of Sport & Exercise Psychology, 1350-64. https://doi.org/10.1123/jsep.13.1.50

Kuroda Y, Sato Y, Ishizaka Y, Yamakado M, Yamaguchi N. Exercise motivation, self-efficacy, and enjoyment as indicators of adult exercise behavior among the transtheoretical model stages. Glob Health Promot, 2012; 19:14-22. https://doi.org/10.1177/1757975911423073

Lewis, Z. H., Lyons, E. J., Jarvis, J. M., & Baillargeon, J. (2015). Using an electronic activity monitor system as an intervention modality: A systematic review. BMC Public Health, 15585. https://doi.org/10.1186/s12889-015-1947-3

Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28, 690-701. https://doi.org/10.1037/a0016136

Middelweerd, A., Mollee, J. S., van der Wal, C. N., Brug, J., & te Velde, S. J. (2014). Apps to promote physical activity among adults: A review and content analysis. The International Journal Of Behavioral Nutrition And Physical Activity, 11. https://doi.org/10.1186/s12966-014-0097-9

Middelweerd, A., van der Laan, D. M., van Stralen, M. M., Mollee, J. S., Stuij, M., te Velde, S. J., & Brug, J. (2015). What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal Of Behavioral Nutrition & Physical Activity, 121-11. https://doi.org/10.1186/s12966-015-0189-1

Moore, J. B., Yin, Z., Hanes, J., Duda, J., Gutin, B., & Barbeau, P. (2009). Measuring Enjoyment of Physical Activity in Children: Validation of the Physical Activity Enjoyment Scale. Journal Of Applied Sport Psychology, 21116-129. https://doi.org/10.1080/10413200802593612

Motl, R. W., Dishman, R. K., Saunders, R., Dowda, M., Felton, G., & Pate, R. R. (2001). Measuring enjoyment of physical activity in adolescent girls. American Journal Of Preventive Medicine, 21(2), 110-117. https://doi.org/10.1016/S0749-3797(01)00326-9

Neve, M., Morgan, J. P., & Collins, E. C. (2011). Weight change in a commercial web-based weight loss program and its associa¬tion with website use: Cohort study. Journal of Medical Inter¬net Research, 13(4), e83. https://doi.org/10.2196/jmir.1756

Nguyen, E., Bugno, L., Kandah, C., Plevinsky, J., Poulopoulos, N., Wojtowicz, A., & Greenley, R. N. (2016). Is there a good app for that? Evaluating m-health apps for strategies that promote pediatric medication adherence. Telemedicine And E-Health, 22(11), 929-937. https://doi.org/10.1089/tmj.2015.0211

Pagano, M., Gauvreau, K. (2000). Principles of Biostatistics (2nd Ed.). Belmont, CA: Brooks/Cole, Cengage Learning.

Stephens, J., & Allen, J. (2013). Mobile phone interventions to increase physical activity and reduce weight: A systematic review. Journal Of Cardiovascular Nursing, 28(4), 320-329. https://doi.org/10.1097/JCN.0b013e318250a3e7

Stuckey, M., Russell-Minda, E., Read, E., Munoz, C., Shoemaker, K., Kleinstiver, P., & Petrella, R. (2011). Diabetes and Technology for Increased Activity (DaTA) study: results of a remote monitoring intervention for prevention of metabolic syndrome. Journal Of Diabetes Science And Technology, 5(4), 928-935. https://doi.org/10.1177/193229681100500416

Welk, G. (2002). Physical activity assessments for health-related research. Champaign, IL.; Human Kinetics.

Wing, R. R., & Phelan, S. (2005). Long-term weight loss main¬tenance. American Journal of Clinical Nutrition, 82(1), 222S-225S. https://doi.org/10.1093/ajcn/82.1.222S




DOI: https://doi.org/10.14198/jhse.2018.134.08





License URL: http://creativecommons.org/licenses/by-nc-nd/4.0/