Efficacy of Mobile Applications and Face-to-Face Social Interaction on Physical Activity, Motivation and Self-Efficacy in Insufficiently Active College Students

Authors

  • Jung E. Lee Author
  • Mikayla McCullough Author
  • Yoonsin Oh Author
  • Daehyoung Lee Author

DOI:

https://doi.org/10.51137/wrp.ijdht.306

Keywords:

Snapchat, Samsung Health, Pedometers, Social Networking, Self-Determination Theory, Social Support

Abstract

The purpose of this study was to examine the efficacy of mobile app-based intervention and face-to-face social interaction on physical activity and psychological outcomes in insufficiently active college students. Fourteen college students (Mage= 19.9, SD=1.1; 9 females) participated in a 4-week intervention using Samsung Health and Snapchat mobile applications, along with weekly in-person group meetings. Step counts were measured using Tri-Axis Pedometer (OMRON HJ-303), while exercise motivation and self-efficacy were assessed using Exercise Self-Regulation Questionnaire (SRQ-E) and 12-item abbreviated version of the Self-Efficacy for Exercise Habit Survey. Paired t-tests compared pre- and post- intervention outcomes. Results indicated significant improvements in introjected regulation, identified regulation, intrinsic motivation, and exercise self-efficacy. Average daily step counts increased from 5,839 to 6,610 steps, although this change was not statistically significant. These findings suggest that integrating mobile health apps with peer social support is feasible and may enhance exercise motivation and self-efficacy in insufficiently active college students. Fitness and health professionals may consider leveraging integrated online and offline interventions to optimize physical activity outcomes.

References

Al-Eisa, E., Al-Rushud, A., Alghadir, A., Anwer, S., Al-Harbi, B., Al-Sughaier, N., Al-Yoseef, N., Al-Otaibi, R., & Al-Muhaysin, H. A. (2016). Effect of motivation by "Instagram" on adherence to physical activity among female college students. BioMed Research International, 2016, 1546013. doi:10.1155/2016/1546013 DOI: https://doi.org/10.1155/2016/1546013

Al-Nawaiseh, H. K., McIntosh, W. A., & McKyer, L.J. (2022) An-M-health intervention using smartphone app to improve physical activity in college students: A randomized controlled trial. International. Journal of Environmental Research &. Public Health 19(12), 7228. https://doi.org/10.3390/ijerph19127228 PMID: 35742477 DOI: https://doi.org/10.3390/ijerph19127228

Alshahrani, A., Siddiqui, A., Khalil, S., Farag, S., Alshahrani, N., Alsabaani, A., & Korairi, H. (2021). WhatsApp-based intervention for promoting physical activity among female college students, Saudi Arabia: a randomized controlled trial. Eastern Mediterranean Health Journal, 27(8), 782–789. https://doi.org/10.26719/emhj.21.012 DOI: https://doi.org/10.26719/emhj.21.012

Bailey, C. P., Lowry, M., Napolitano, M., Hoban, M. T., Kukich, C., & Perna, F. M. (2022). Prevalence of physical activity requirements among US colleges/universities participating in the American college health association-National college health assessment II. Inquiry 59: 469580221087891. doi:10.1177/00469580221087891 DOI: https://doi.org/10.1177/00469580221087891

Buja, A., Lo Bue, R., Mariotti, F., Miatton, A., Zampieri, C., & Leone, G. (2024). Promotion of physical activity among university students with social media or text messaging: A systematic review. Inquiry, 61, 469580241248131. https://doi.org/10.1177/00469580241248131 DOI: https://doi.org/10.1177/00469580241248131

Cavallo, D. N., Tate, D. F., Ries, A. V., Brown, J. D., DeVellis, R. F., & Ammerman, A. S. (2012). A social media-based physical activity intervention: a randomized controlled trial. American Journal of Preventive Medicine, 43(5), 527–532. doi:10.1016/j.amepre.2012.07.019 DOI: https://doi.org/10.1016/j.amepre.2012.07.019

Castro, O., Bennie, J., Vergeer, I., Bosselut, G., & Biddle, S. J. H. (2020). How sedentary are university students? A systematic review and meta-analysis. Prevention Science : The official journal of the Society for Prevention Research, 21(3), 332–343. https://doi.org/ 10.1007/s11121-020-01093-8 DOI: https://doi.org/10.1007/s11121-020-01093-8

Cohen J. (1969) Statistical Power Analysis for the Behavioral Sciences. Cambridge, Massachusetts, United States: Academic Press.

Deliens, T., Deforche, B., De Bourdeaudhuij, I., & Clarys, P. (2015). Determinants of physical activity and sedentary behavior in university students: A qualitative study using focus group discussions. BMC Public Health, 15, 201. https://doi.org/10.1186/s12889-015-1553-4. DOI: https://doi.org/10.1186/s12889-015-1553-4

Divine, A., Watson, P. M., Baker, S., & Hall, C. R. (2019). Facebook, relatedness and exercise motivation in university students: A mixed methods investigation. Computers in Human Behavior, 91(1),138-150. https://doi.org/10.1016/j.chb.2018.09.037 DOI: https://doi.org/10.1016/j.chb.2018.09.037

Emberson, M. A., Lalande, A., Wang, D., McDonough, D. J., Liu, W., & Gao, Z. (2021). Effectiveness of smartphone-based physical activity interventions on individuals' health outcomes: A systematic review. Biomed Research International, 2021, 6296896. doi:10.1155/2021/6296896 DOI: https://doi.org/10.1155/2021/6296896

Epton, T., Norman, P., Dadzie, A. S., Harris, P. R., Webb, T. L., Sheeran, P., Julious, S. A., Ciravegna, F., Brennan, A., Meier, P. S., Naughton, D., Petroczi, A., Kruger, J., & Shah, I. (2014). A theory-based online health behaviour intervention for new university students (U@Uni): Results from a randomised controlled trial. BMC Public Health.14, 563. https://doi.org/10.1186/1471-2458-14-563 PMID:24903620 DOI: https://doi.org/10.1186/1471-2458-14-563

Gabbiadini, A., & Greitemeyer, T. (2019). Fitness mobile apps positively affect attitudes, perceived behavioral control and physical activities. The Journal of Sports Medicine and Physical Fitness, 59(3), 407-414. doi:10.23736/S0022-4707.18.08260-9 DOI: https://doi.org/10.23736/S0022-4707.18.08260-9

Goodyear, V. A., Wood, G., Skinner, B., & Thompson, J. L. (2021). The effect of social media interventions on physical activity and dietary behaviours in young people and adults: a systematic review. The International Journal of Behavioral Nutrition and Physical Activity, 18(1), 72. https://doi.org/10.1186/s12966-021-01138-3 DOI: https://doi.org/10.1186/s12966-021-01138-3

Grasaas, E., & Sandbakk, Ø. (2024). Adherence to physical activity recommendations and associations with self-efficacy among Norwegian adolescents: trends from 2017 to 2021. Frontiers in Public Health, 12, 1382028. https://doi.org/10.3389/fpubh.2024.1382028 DOI: https://doi.org/10.3389/fpubh.2024.1382028

Gropper, S. S., Simmons, K. P., Connell, L. J., & Ulrich, P. V. (2012). Weight and body composition changes during the first three years of college. Journal of obesity, 2012, 1-6. doi:10.1155/2012/634048 DOI: https://doi.org/10.1155/2012/634048

Hartson, K. R., Della, L. J., King, K. M., Liu, S., Chatman, J. M., & Rhodes, R. E. (2024). A web-based intervention for insufficiently active college students: Feasibility and preliminary efficacy. Western Journal of Nursing Research, 46(7), 541–551. https://doi.org/10.1177/01939459241253218 DOI: https://doi.org/10.1177/01939459241253218

He, Z., Hassan, M. A., Saiz-González, P., Ryu, S., Wang, R., & Gao, Z. (2024). Smartphone app-based interventions on physical activity behaviors and psychological correlates in healthy young adults: A systematic review. PLoS One 19(4), e0301088. https://doi.org/10.1371/journal.pone.0301088 DOI: https://doi.org/10.1371/journal.pone.0301088

Lacaille, L. J., Dauner, K. N., Krambeer, R. J., & Pedersen, J. (2011). Psychosocial and environmental determinants of eating behaviors, physical activity, and weight change among college students: A qualitative analysis. Journal of American College Health 59(6), 531–538. https://doi.org/10.1080/07448481.2010.523855 DOI: https://doi.org/10.1080/07448481.2010.523855

Lev-Arey, D., Gutman, T., & Levental, O. (2024). Empowering Movement: Enhancing Young Adults' Physical Activity through Self-Determination Theory and Acceptance and Commitment Therapy-Based Intervention. Behavioral sciences (Basel, Switzerland), 14(2), 130. https://doi.org/10.3390/bs14020130 DOI: https://doi.org/10.3390/bs14020130

Mendoza, J. A., Baker, K. S., Moreno, M. A., Whitlock, K., Abbey-Lambertz, M., Waite, A., Colburn, T., & Chow, E. J. (2017). A Fitbit and Facebook mHealth intervention for promoting physical activity among adolescent and young adult childhood cancer survivors: a pilot study. Pediatric Blood & Cancer, 64(12), 10.1002/pbc.26660. https://doi.org/10.1002/pbc.26660 DOI: https://doi.org/10.1002/pbc.26660

Ntoumanis, N., Ng, J. Y. Y., Prestwich, A., Quested, E., Hancox, J. E., Thøgersen-Ntoumani, C., Deci, E. L., Ryan, R. M., Lonsdale, C., & Williams, G. C. (2021). A meta-analysis of self-determination theory-informed intervention studies in the health domain: effects on motivation, health behavior, physical, and psychological health. Health psychology review, 15(2), 214–244. https://doi.org/10.1080/17437199.2020.1718529 DOI: https://doi.org/10.1080/17437199.2020.1718529

Pew Research Center (2024, November 13). Social media fact sheet. Retrieved from https://www.pewresearch.org/internet/fact-sheet/social-media/

Pingan, L. (2020). Effects on social support to autonomy motivation and physical exercise of adolescent. Journal of Guangzhou Sport University, 40, 33–37. doi: 10.13830/j.cnki.cn44-1129/g8.2020.03.010

Pope, Z. C., & Gao, Z. (2022). Feasibility of smartphone application- and social media-based intervention on college students' health outcomes: A pilot randomized trial. Journal of American College Health ,70(1), 89-98. doi:10.1080/07448481.2020.1726925 DOI: https://doi.org/10.1080/07448481.2020.1726925

Pumper, M. A., Mendoza, J. A., Arseniev-Koehler, A., Holm, M., Waite, A., & Moreno, M. A. (2015). Using a Facebook group as an adjunct to a pilot mHealth physical activity intervention: a mixed methods approach. Studies in Health Technology and Informatics, 219, 97–101. doi: 10.3233/978-1-61499-595-1-97. DOI: https://doi.org/10.3233/978-1-61499-595-1-97

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. The American Psychologist, 55(1), 68–78. https://doi.org/10.1037//0003-066x.55.1.68 DOI: https://doi.org/10.1037//0003-066X.55.1.68

Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: examining reasons for acting in two domains. Journal of Personality and Social Psychology, 57(5), 749–761. https://doi.org/10.1037//0022-3514.57.5.749 DOI: https://doi.org/10.1037//0022-3514.57.5.749

Sallis, J. F., Pinski, R. B., Grossman, R. M., Patterson, T. L., & Nader, P. R. (1988). The development of self-efficacy scales for health-related diet and exercise behaviors. Health Education Research, 3, 283-292. DOI: https://doi.org/10.1093/her/3.3.283

Scroggs, G. J., Battista, R. A., & Kappus, R. M. (2025). Bridging the gap: Promoting physical activity in college-aged students. Preventing Chronic Disease, 22, E36. https://doi. org/10.5888/ pcd22.250118 DOI: https://doi.org/10.5888/pcd22.250118

Simons, D., De Bourdeaudhuij, I., Clarys, P., De Cocker, K., Vandelanotte, C., & Deforche, B. (2018). Effect and process evaluation of a smartphone app to promote an active lifestyle in lower educated working young adults: Cluster randomized controlled trial. JMIR Mhealth and Uhealth, 6(8), e10003. DOI: https://doi.org/10.2196/10003

Sultoni, K., Peralta, L., & Cotton, W. (2021). Technology-supported university courses for increasing university students' physical activity levels: A systematic review and set of design principles for future practice. International Journal of Environmental Research and Public Health, 18(11), 5947. https://doi.org/10.3390/ijerph18115947 DOI: https://doi.org/10.3390/ijerph18115947

Teixeira, P. J., Carraça, E. V., Markland, D., Silva, M. N., & Ryan, R. M. (2012). Exercise, physical activity, and self-determination theory: a systematic review. The international journal of behavioral nutrition and physical activity, 9, 78. https://doi.org/10.1186/1479-5868-9-78 DOI: https://doi.org/10.1186/1479-5868-9-78

Tong, H. L., Coiera, E., Tong, W., Wang, Y., Quiroz, J. C., Martin, P., & Laranjo, L. (2019). Efficacy of a mobile social networking intervention in promoting physical activity: Quasi-experimental study. JMIR Mhealth and Uhealth 7(3), e12181. doi:10.2196/12181 DOI: https://doi.org/10.2196/12181

Van Luchene, P., & Delens, C. (2021). The influence of social support specific to physical activity on physical activity among college and university students: A systematic review. Journal of Physical Activity & Health 18(6), 737-747. https://doi.org/10.1123/jpah.2020-0713 DOI: https://doi.org/10.1123/jpah.2020-0713

Wallmann-Sperlich, B., Froboese, I., Reed, J. L., Mathes, S., & Sperlich, B. (2015). How accurate are Omron X-HJ-304-E and Yamax SW-700/701 pedometers at different speeds and various inclinations?. The Journal of Sports Medicine and Physical Fitness, 55(1-2), 113–117.

Wang, X., Yang, X., Juzaily Bin Mohd Nasiruddin, N., Wei, S., Dong, D., & Bin Samsudin, S. (2024). Social support and physical activity in college and university students: A meta-analysis. Health Education & Behavior, 51(4), 533-543. doi:10.1177/10901981231216735 DOI: https://doi.org/10.1177/10901981231216735

Warburton, D. E., Jamnik, V. K., Bredin, S. S., McKenzie, D. C., Stone, J., Shephard, R. J., & Gledhill, N. (2011). Evidence-based risk assessment and recommendations for physical activity clearance: An introduction. Applied Physiology, Nutrition, and Metabolism, 36 Suppl 1,S1-2. doi:10.1139/h11-060 DOI: https://doi.org/10.1139/h11-060

WHO (2022). Global status report on physical activity 2022. https://www.who.int/teams/health-promotion/physical-activity/global-status-report-on-physical-activity-2022

Zhang, Y., Hasibagen, & Zhang, C. (2022). The influence of social support on the physical exercise behavior of college students: The mediating role of self-efficacy. Frontiers in Psychology, 13, 1037518. https://doi.org/10.3389/fpsyg.2022.1037518 DOI: https://doi.org/10.3389/fpsyg.2022.1037518

Downloads

Published

2025-10-09

How to Cite

Lee, J. E., McCullough, M., Oh, Y., & Lee, D. (2025). Efficacy of Mobile Applications and Face-to-Face Social Interaction on Physical Activity, Motivation and Self-Efficacy in Insufficiently Active College Students. International Journal of Digital Health and Telemedicine, 1(2). https://doi.org/10.51137/wrp.ijdht.306