Usage of Mobile Health Applications and Fitness Habits among College Students

References

[1] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

[2] Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology (UTAUT2). MIS Quarterly, 36(1), 157–178.

[3] Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., & Haines, A. (2013). The effectiveness of mobile-health technologies to improve health outcomes: A systematic review. PLOS Medicine, 10(1), e1001362.

[4] Zhao, J., Freeman, B., & Li, M. (2016). Can mobile phone apps influence people’s health behavior change? An evidence review. Journal of Medical Internet Research, 18(11), e287.

[5] Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: A national survey. JMIR mHealth and uHealth, 3(4), e101.

[6] Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013). Opportunities and challenges for smartphone applications in supporting health behavior change. British Journal of Health Psychology, 18(4), 715–731.

[7] Payne, H. E., Lister, C., West, J. H., & Bernhardt, J. M. (2015). Behavioral functionality of mobile apps in health interventions: A systematic review. JMIR mHealth and uHealth, 3(1), e20.

[8] Direito, A., Jiang, Y., Whittaker, R., & Maddison, R. (2015). Apps for improving fitness and increasing physical activity among young people: The AIMFIT randomized controlled trial. Journal of Medical Internet Research, 17(8), e210.

[9] Fanning, J., Mullen, S. P., & McAuley, E. (2012). Increasing physical activity with mobile devices: A meta-analysis. Journal of Medical Internet Research, 14(6), e161.

[10] Higgins, J. P. (2016). Smartphone applications for patients' health and fitness. The American Journal of Medicine, 129(1), 11–19.

[11] Bort-Roig, J., Gilson, N. D., Puig-Ribera, A., Contreras, R. S., & Trost, S. G. (2014). Measuring and influencing physical activity with smartphone technology. Sports Medicine, 44(5), 671–686.

[12] Yang, C. H., Maher, J. P., & Conroy, D. E. (2015). Implementation of behavior change techniques in mobile applications for physical activity. American Journal of Preventive Medicine, 48(4), 452–455.

[13] 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. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 97.

[14] Kumar, S., & Preetha, G. S. (2012). Health promotion: An effective tool for global health. Indian Journal of Community Medicine, 37(1), 5–12.

[15] Lupton, D. (2014). Self-tracking modes: Reflexive self-monitoring and data practices. Social Science & Medicine, 132, 1–8.

@article{1715965,
      author = {Jayanthi Vijaya Vara Prasanna Sarma, Prof. Amita Garg},
      title = {Usage of Mobile Health Applications and Fitness Habits among College Students},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {81-87},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715965.pdf},
      abstract = {The increasing adoption of mobile health and fitness applications has significantly influenced the lifestyle and health behavior of college students. These applications provide features such as activity tracking, calorie monitoring, workout planning, and sleep analysis, enabling users to manage their fitness conveniently. The purpose of this study is to examine the usage patterns, awareness, perceived effectiveness, and privacy concerns associated with mobile health applications among college students. A descriptive research design was adopted, and primary data was collected from 260 respondents through a structured questionnaire using Google Forms. The sample included undergraduate and postgraduate students. The findings indicate that a majority of students are aware of mobile health applications and have used them for tracking physical activities and improving fitness habits. However, the statistical analysis using Chi-square tests reveals that there is no significant relationship between awareness and adoption, usage patterns, perceived effectiveness, and fitness improvements. The study concludes that while mobile health applications are widely recognized and used, their direct impact on improving fitness habits depends on individual motivation, consistency, and engagement. The study suggests that developers should focus on personalization, user engagement, and data privacy to enhance the effectiveness of these applications.},
      keywords = {Mobile Health Applications, Fitness Habits, College Students, Digital Health, Chi-Square Analysis, Usage Patterns},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1715965}
  }