Author

Snooky C. Venio
Mandaue City Comprehensive National High School
Plaridel St., Centro, Mandaue City, Philippines
Email: snooky.venio@deped.gov.ph

Abstract

This study examined the effectiveness of the Nike Fitness App in improving the physical activity levels of Grade 8 students at Mandaue City Comprehensive National High School. Specifically, it aimed to determine students’ baseline and post-intervention activity levels and examine whether significant differences existed between pre-test and post-test scores after using the app. It also explored students’ perceptions and challenges in using the application. The study employed a quasi-experimental one-group pre-test–post-test design involving 40 purposively selected Grade 8 students who had access to smartphones and internet connectivity. Data were collected using a researcher-made Physical Activity Checklist and a Perception Survey Questionnaire, both validated by experts. Descriptive statistics, including frequency, percentage, mean, and standard deviation, were used to summarize the data, while inferential analysis used the paired-samples t-test at the 0.05 level of significance. Results indicated that most respondents were 13 years old and had no prior experience using fitness applications. Baseline results showed that 80% of the students were highly active, 15% moderately active, and 5% had low activity levels. After the intervention, 90% were classified as highly active and 10% as moderately active. The findings indicated a statistically significant improvement in activity scores from pre-test to post-test, t (39) = ___, p < .001, d = 0.86. Students reported positive perceptions of the app across motivation, enjoyment, ease of use, and perceived benefits. However, challenges such as unstable internet connectivity and occasional technical issues were also noted. The findings suggest that the Nike Fitness App may serve as a supplementary tool in Physical Education (PE) programs to support student engagement in physical activity.

Keywords: Physical Education, fitness application, quasi-experimental research, Mandaue City, Philippines

DOI: http://doi.org/10.69651/PIJHSS0501852

Recommended citation:
Venio, S. C. (2026). Effectiveness of the Nike fitness app in improving the physical activity levels of Grade 8 students. Pantao (The International Journal of the Humanities and Social Sciences) 5 (1), 9610-9618. http://doi.org/10.69651/PIJHSS0501852

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References

Active Healthy Kids Global Alliance. (2022). 2022 Philippine report card on physical activity for children and adolescents. https://www.activehealthykids.org/wp-content/uploads/2022/11/Philippines-report-card-long-form-2022.pdf

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

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

Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer.

Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013). Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study. Journal of Medical Internet Research, 15(4), e86. https://doi.org/10.2196/jmir.2583

Department of Education. (2023). Revised guidelines on the implementation of the DepEd computerization program (DepEd Order No. 16, s. 2023). https://www.deped.gov.ph

Direito, A., Jiang, Y., Whittaker, R., & Maddison, R. (2021). Smartphone apps to improve fitness among young people: Systematic review. JMIR mHealth and uHealth, 9(2), e21015.

Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2019). Global trends in insufficient physical activity among adolescents: A pooled analysis of 298 population-based surveys with 1.6 million participants. The Lancet Child & Adolescent Health, 4(1), 23–35. https://doi.org/10.1016/S2352-4642(19)30323-2

Lazaro, J. A., & Tolentino, A. C. (2020). Exploring the impact of fitness mobile applications on the health behaviors of Filipino college students. Philippine Journal of Health Research and Development, 24(2), 31–38.

Payne, H. E., Lister, C., West, J. H., & Bernhardt, J. M. (2021). Behavioral functionality of mobile apps in health interventions: A systematic review of the literature. JMIR mHealth and uHealth, 3(1), e20. https://doi.org/10.2196/mhealth.3335

Peng, W., Pfeiffer, K. A., & Winn, B. (2019). Mobile apps and physical activity promotion among adolescents: A systematic review. JMIR mHealth and uHealth, 7(5), e12791.

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.

United Nations. (n.d.). Sustainable development goal 4: Quality education. https://sdgs.un.org/goals/goal4

Wang, Q., & Xue, M. (2022). Social influence of fitness apps on adolescents’ physical activity: The mediating role of self-efficacy. Computers in Human Behavior, 134, 107303.

World Health Organization. (2020). WHO guidelines on physical activity and sedentary behaviour. World Health Organization.

Yang, C.-H., Maher, J. P., & Conroy, D. E. (2022). Implementation of gamified elements in mobile health interventions to promote physical activity: A systematic review and meta-analysis. Preventive Medicine, 155, 106928. https://doi.org/10.1016/j.ypmed.2022.106928

Yang, X., Ma, L., & Zhao, X. (2023). Fitness app adoption among adolescents: A meta-analytic approach. Health Informatics Journal, 29(2), 14604582231152693.

Zhao, J., Freeman, B., & Li, M. (2021). Can mobile phone apps influence people’s health behavior change? An evidence review. JMIR mHealth and uHealth, 4(1), e47.