BMI, pre-exercise meal timing, and running performance in college students: A mediation model

https://doi.org/10.25299/sportarea.2026.vol11(1).21520

Authors

  • Muhammad Fahmi Hasan Department of Sport Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia https://orcid.org/0000-0003-1782-1086
  • Tommy Apriantono Department of Sport Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia
  • Marisa Noviyanti Fajrah Ilsya Department of Physical Education, Faculty of Sport and Health Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Gifran Rihla Gifarka Latief Department of Sports Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia https://orcid.org/0009-0003-6062-494X
  • Agung Dwi Juniarsyah Department of Sports Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

Keywords:

BMI, pre-exercise meal timing, running performance, mediation model, college students

Abstract

Background: Body Mass Index (BMI) is widely used as an indicator of body composition and nutritional status, yet its interaction with nutritional habits—particularly pre-exercise meal timing—remains underexplored among college students. Understanding these relationships is important for promoting active and healthy lifestyles within this population. Objectives: This study aims to test a mediation model in which pre-exercise meal timing serves as a potential mechanism linking BMI to running performance among college students. Methods: This quantitative study involved 213 college students who completed an online questionnaire reporting self-reported BMI, pre-exercise meal timing, and running pace (minutes per kilometre). Mediation analysis using the PROCESS macro (Model 4) in SPSS with bootstrapping procedures was applied to examine the mediating role of pre-exercise meal timing. Results: BMI was positively associated with running pace, indicating that higher BMI values were linked to slower running performance. The model explained 24.3% of the variance in running pace (R² = 0.243). The indirect effect of pre-exercise meal timing was minimal and not statistically significant (B = −0.004, 95% CI [−0.010, 0.001]), suggesting a limited mediating role. Students with higher BMI tended to consume meals closer to exercise time, reflecting potential behavioral differences. Conclusion: Although the mediating role of pre-exercise meal timing was negligible, BMI remained a significant predictor of running performance among college students. These findings suggest that physiological factors may play a more prominent role than short-term dietary timing in endurance outcomes. Campus health interventions may benefit from integrating body composition management with balanced nutritional strategies to enhance student fitness and well-being.

Downloads

Download data is not yet available.

Author Biographies

Muhammad Fahmi Hasan, Department of Sport Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0000-0003-1782-1086

mceclip0-d8d24652f9a810bc0209cbb5db9f173d.png

Tommy Apriantono, Department of Sport Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0000-0002-5169-0924

mceclip1-51403d0da566d4ac66a75cf04bff2457.png

Marisa Noviyanti Fajrah Ilsya, Department of Physical Education, Faculty of Sport and Health Education, Universitas Pendidikan Indonesia, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0009-0004-3808-0365

mceclip2-095543690d4faf8a8d69c1d4c3f2a623.png

Gifran Rihla Gifarka Latief, Department of Sports Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0009-0003-6062-494X

mceclip3-bf29a063a442d63e020ffd539341f20c.png

Agung Dwi Juniarsyah, Department of Sports Science, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0000-0002-6888-5365

mceclip4-fd98a4b8b1ae466a7c3b0ede979867da.png

References

Alves, J. M., Yunker, A. G., DeFendis, A., Xiang, A. H., & Page, K. A. (2021). BMI Status and Associations Between Affect, Physical Activity and Anxiety among U.S. Children during COVID-19. Pediatric Obesity, 16(9), e12786. https://doi.org/10.1111/ijpo.12786

Burke, L. M., Castell, L. M., Casa, D. J., Close, G. L., Costa, R. J. S., Melin, A. K., Sygo, J., Desbrow, B., Peeling, P., Witard, O. C., Halson, S. L., Saunders, P. U., Bermon, S., Lis, D. M., Slater, G. J., & Stellingwerff, T. (2019). International Association of Athletics Federations Consensus Statement 2019: Nutrition for Athletics. International Journal of Sport Nutrition and Exercise Metabolism, 29(2), 73–84. https://doi.org/10.1123/ijsnem.2019-0065

Capsi, J., & Llopis-Goig, R. (2023). Understanding the Expansion of Running from a Social Practice Theory Perspective. A Case Study Focused on the City of Valencia. Sport in Society, 26(1), 67–87. https://doi.org/10.1080/17430437.2021.1970139

Carballo-Fazanes, A., Rico-Díaz, J., Barcala-Furelos, R., Rey, E., Rodríguez-Fernández, J. E., Varela-Casal, C., & Abelairas-Gómez, C. (2020). Physical Activity Habits and Determinants, Sedentary Behaviour and Lifestyle in University Students. International Journal of Environmental Research and Public Health, 17(9), 3272. https://doi.org/10.3390/ijerph17093272

Carrier, B., Helm, M. M., Cruz, K., Barrios, B., & Navalta, J. W. (2023). Validation of Aerobic Capacity (VO2max) and Lactate Threshold in Wearable Technology for Athletic Populations. Technologies, 11(3), 71. https://doi.org/10.3390/technologies11030071

Colberg, S. R., Sigal, R. J., Yardley, J. E., Riddell, M. C., Dunstan, D. W., Dempsey, P. C., Horton, E. S., Castorino, K., & Tate, D. F. (2016). Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association. Diabetes Care, 39(11), 2065–2079. https://doi.org/10.2337/dc16-1728

Dempsey, P. C., Musicha, C., Rowlands, A. V., Davies, M., Khunti, K., Razieh, C., Timmins, I., Zaccardi, F., Codd, V., Nelson, C. P., Yates, T., & Samani, N. J. (2022). Erratum: Author Correction: Investigation of a UK Biobank Cohort Reveals Causal Associations of Self-Reported Walking Pace with Telomere Length (Communications Biology (2022) 5 1 (381)). Communications Biology, 5(1), 498. https://doi.org/10.1038/s42003-022-03459-w

Edinburgh, R. M., Koumanov, F., & Gonzalez, J. T. (2022). Impact of Pre-Exercise Feeding Status on Metabolic Adaptations to Endurance-Type Exercise Training. Journal of Physiology, 600(6), 1327–1338. https://doi.org/10.1113/JP280748

Guntoju, S., & Pramod, N. (2024). When You Eat is as Important as What You Eat - A Kap Study on Chrono Nutrition in Athletes. International Journal of Science and Research (IJSR), 13(7), 1120–1125. https://doi.org/10.21275/sr24722094818

Hayes, A. F. (2018). Partial, Conditional, and Moderated Moderated Mediation: Quantification, Inference, and Interpretation. Communication Monographs, 85(1), 4–40. https://doi.org/10.1080/03637751.2017.1352100

Kyung Kim, H., Qu, H., & Chou, L. S. (2024). Center of Mass Motion and Plantar Pressure Distribution during Walking in Overweight Individuals. Gait and Posture, 108, 307–312. https://doi.org/10.1016/j.gaitpost.2024.01.003

Lockie, R. G., Orr, R. M., Montes, F., & Dawes, J. J. (2023). Change-of-Direction Speed in Firefighter Trainees: Fitness Relationships and Implications for Occupational Performance. Journal of Human Kinetics, 87, 225–233. https://doi.org/10.5114/jhk/161545

Ravindra, P. V, Janhavi, P., Divyashree, S., & Muthukumar, S. P. (2022). Nutritional Interventions for Improving the Endurance Performance in Athletes. Archives of Physiology and Biochemistry, 128(4), 851–858. https://doi.org/10.1080/13813455.2020.1733025

Ribichini, E., Scalese, G., Cesarini, A., Mocci, C., Pallotta, N., Severi, C., & Corazziari, E. S. (2023). Exercise-Induced Gastrointestinal Symptoms in Endurance Sports: A Review of Pathophysiology, Symptoms, and Nutritional Management. Dietetics, 2(3), 289–307. https://doi.org/10.3390/dietetics2030021

Scully, T., Ettela, A., LeRoith, D., & Gallagher, E. J. (2021). Obesity, Type 2 Diabetes, and Cancer Risk. Frontiers in Oncology, 10, 615375. https://doi.org/10.3389/fonc.2020.615375

Sedeaud, A., Marc, A., Marck, A., Dor, F., Schipman, J., Dorsey, M., Haida, A., Berthelot, G., & Toussaint, J. F. (2014). BMI, A Performance Parameter for Speed Improvement. PLoS ONE, 9(2), e90183. https://doi.org/10.1371/journal.pone.0090183

Stratton, M. T., Holden, S. L., Davis, R., & Massengale, A. T. (2025). The Impact of Breakfast Consumption or Omission on Exercise Performance and Adaptations: A Narrative Review. Nutrients, 17(2), 300. https://doi.org/10.3390/nu17020300

Vincent, H. K., Kilgore, J. E., Chen, C., Bruner, M., Horodyski, M. B., & Vincent, K. R. (2020). Impact of Body Mass Index on Biomechanics of Recreational Runners. PM and R, 12(11), 1106–1112. https://doi.org/10.1002/pmrj.12335

Wirnitzer, K., Tanous, D., Motevalli, M., Wirnitzer, G., Leitzmann, C., Pichler, R., Rosemann, T., & Knechtle, B. (2022). Prevalence of Female and Male Vegan and Non-Vegan Endurance Runners and the Potential Associations of Diet Type and BMI with Performance—Results from the NURMI Study (Step 1). Nutrients, 14(18), 3803. https://doi.org/10.3390/nu14183803

Published

2026-04-07

How to Cite

Hasan, M. F., Apriantono, T., Ilsya, M. N. F., Latief, G. R. G., & Juniarsyah, A. D. (2026). BMI, pre-exercise meal timing, and running performance in college students: A mediation model. Journal Sport Area, 11(1), 1–8. https://doi.org/10.25299/sportarea.2026.vol11(1).21520

Issue

Section

RESEARCH ARTICLES
Received 2025-02-20
Accepted 2026-02-22
Published 2026-04-07

Most read articles by the same author(s)