Submitted:
08 July 2025
Posted:
11 July 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
- A statistically significant increase in maximal aerobic capacity (VO₂ Max), indicating improved cardiovascular efficiency;
- Enhanced lower body muscular power, evidenced by greater vertical jump height performance;
- A significant reduction in total body fat percentage, reflecting improved body composition and metabolic health.
Literature Review
2. Methods
Participants
Study Design
Training Protocol
- Warm up: The initial phase of each session consisted of a comprehensive 10 minute warm-up routine. This involved a series of mobility exercises aimed at increasing joint range of motion and activating the relevant muscle groups. Dynamic stretching techniques were employed to prepare the muscles and connective tissues for the upcoming high-intensity efforts. Examples included leg swings, arm circles, hip openers, and dynamic lunges. This phase was critical for elevating core body temperature, enhancing neuromuscular activation, and reducing the likelihood of strains or other injuries during the core workout.
- Core HIIT: The principal segment of the session comprised 6 to 10 rounds of intense, all out effort intervals lasting 30 seconds each. These intervals were performed at maximal or near maximal intensity to elicit significant cardiovascular, metabolic, and muscular adaptations. Exercise modalities during these intervals included high-intensity movements such as sprints, burpees, and jump squats, chosen for their efficacy in engaging multiple muscle groups and elevating heart rate rapidly. Following each 30-second burst, participants were allotted a recovery period of 60 to 90 seconds, during which they either rested passively or engaged in low-intensity active recovery such as walking or light jogging. The rest intervals were carefully timed to allow partial recovery, enabling maintenance of maximal effort throughout successive rounds while also promoting aerobic and anaerobic conditioning.
- Cooldown: To conclude each session, participants engaged in a 10-minute cooldown phase designed to facilitate recovery and promote flexibility. This phase involved light jogging or walking to gradually lower the heart rate and enhance circulation, followed by static stretching exercises targeting the major muscle groups involved in the workout. The static stretches were held for 20 to 30 seconds each, focusing on areas such as the quadriceps, hamstrings, calves, hip flexors, and lower back. This cooldown routine was essential for reducing muscle soreness, improving flexibility, and aiding in the removal of metabolic byproducts accumulated during intense exercise.
Performance Measures
- VO₂ Max (ml/kg/min): Maximal oxygen uptake was evaluated using the Bruce protocol, a widely accepted graded exercise test that progressively increases in intensity to determine cardiovascular endurance capacity. Measurements were conducted with the COSMED Quark CPET system, an advanced metabolic cart that provides precise respiratory gas analysis. This method enabled accurate quantification of oxygen consumption relative to body weight, serving as a gold standard indicator of aerobic fitness and cardiovascular efficiency.
- Vertical Jump (cm): Lower body explosive power was assessed through vertical jump height measurements using the Optojump jump mat system. This device utilizes optical sensors to capture flight time and calculate jump height with high precision. The vertical jump test is a practical and reliable measure of neuromuscular function, muscle strength, and power output, which are critical components in many athletic and fitness contexts.
- Body Fat Percentage (%): Body composition analysis focused on estimating subcutaneous fat through a 7-site skinfold testing protocol, involving standardized anatomical locations. Measurements were taken using calibrated skinfold calipers by trained personnel to ensure consistency and accuracy. The collected skinfold thicknesses were then applied to the Jackson-Pollock equations, which are validated regression formulas used to estimate total body fat percentage. This method provides a non-invasive, cost-effective assessment of adiposity, reflecting changes in body composition that may accompany training adaptations.
Data Collection
Statistical Analysis
3. Results
| Metric | Pre-Intervention (Mean ± SD) |
Post-Intervention (Mean ± SD) | Change (%) |
p-value | Effect Size (Cohen's d) |
|---|---|---|---|---|---|
| VO₂ Max (ml/kg/min) | 44.8 ± 2.1 | 49.9 ± 2.2 | +11.38% | < 0.001 | 2.33 (Large) |
| Vertical Jump (cm) | 39.5 ± 3.0 | 43.1 ± 3.2 | +9.11% | < 0.001 | 1.20 (Large) |
| Body Fat (%) | 21.3 ± 2.1 | 18.1 ± 2.0 | -15.02% | < 0.001 | 1.56 (Large) |
4. Discussion
5. Conclusions
- HIIT should be considered a core component of general fitness program for 20-25 year olds
- Two to three sessions per week are sufficient for producing robust physiological adaptations
- Exercise variety enhances engagement and broadens performance outcomes
References
- Gibala, M. J. Little, J. P., Macdonald, M. J., & Hawley, J. A. (2012). Physiological adaptations to low-volume, high-intensity interval training in health and disease. Journal of Physiology, 590(5), 1077–1084. [CrossRef]
- Weston, K. S. Wisløff, U., & Coombes, J. S. (2014). High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: A systematic review and meta-analysis. British Journal of Sports Medicine, 48(16), 1227–1234. [CrossRef]
- Burgomaster, K. A. Howarth, K. R., Phillips, S. M., Rakobowchuk, M., MacDonald, M. J., McGee, S. L., & Gibala, M. J. (2008). Similar metabolic adaptations during exercise after low-volume sprint interval and traditional endurance training in humans. Journal of Physiology, 586(1), 151–160. [CrossRef]
- Boutcher, S. H. (2011). High-intensity intermittent exercise and fat loss. Journal of Obesity, 2011, 868305. [CrossRef]
- Tremblay, A. Simoneau, J. A., & Bouchard, C. (1994). Impact of exercise intensity on body fatness and skeletal muscle metabolism. Metabolism, 43(7), 814–818.
- Moran, J. Sandercock, G. R. H., Ramírez-Campillo, R., Meylan, C., Collison, J., & Granacher, U. (2018). Maturation-related adaptations in lower limb neuromuscular performance: A systematic review with meta-analysis. Sports Medicine, 48(3), 585–603.
- Laursen, P. B. Jenkins, D. G. (2002). The scientific basis for high-intensity interval training: Optimising training programmes and maximizing performance in highly trained endurance athletes. Sports Medicine, 32(1), 53–73. [CrossRef]
- Gillen, J. B. Gibala, M. J. (2014). Is high-intensity interval training a time-efficient exercise strategy to improve health and fitness? Applied Physiology, Nutrition, and Metabolism, 39(3), 409–412. [CrossRef]
- Metcalfe, R. S. Vollaard, N. B., Federici, A., Wisloff, U., & Richardson, S. (2012). Towards the minimal amount of exercise for improving metabolic health: Beneficial effects of reduced-exertion high-intensity interval training. European Journal of Applied Physiology, 112(6), 2767–2775.
- Little, J. P. Safdar, A., Wilkin, G. P., Tarnopolsky, M. A., & Gibala, M. J. (2010). A practical model of low-volume high-intensity interval training induces mitochondrial biogenesis in human skeletal muscle: Potential mechanisms. Journal of Physiology, 588(Pt 6), 1011–1022. [CrossRef]
- Tabata, I. Nishimura, K., Kouzaki, M., Hirai, Y., Ogita, F., Miyachi, M., & Yamamoto, K. (1996). Effects of moderate-intensity endurance and high-intensity intermittent training on anaerobic capacity and VO₂max. Medicine & Science in Sports & Exercise, 28(10), 1327–1330. [CrossRef]
- Buchheit, M. Laursen, P. B. (2013). High-intensity interval training, solutions to the programming puzzle: Part I: Cardiopulmonary emphasis. Sports Medicine, 43(5), 313–338. [CrossRef]
- Buchheit, M. Laursen, P. B. (2013). High-intensity interval training, solutions to the programming puzzle: Part II: Anaerobic energy, neuromuscular load, and practical applications. Sports Medicine, 43(10), 927–954. [CrossRef]
- Ross, A. Leveritt, M. (2001). Long-term metabolic and skeletal muscle adaptations to short-sprint training: Implications for sprint training and tapering. Sports Medicine, 31(15), 1063–1082. [CrossRef]
- Helgerud, J. Høydal, K., Wang, E., Karlsen, T., Berg, P., Bjerkaas, M., ... Hoff, J. (2007). Aerobic high-intensity intervals improve VO₂max more than moderate training. Medicine & Science in Sports & Exercise, 39(4), 665–671. [CrossRef]
- Bacon, A. P. Carter, R. E., Ogle, E. A., & Joyner, M. J. (2013). VO₂max trainability and high intensity interval training in humans: A meta-analysis. PLoS ONE, 8(9), e73182. [CrossRef]
- Sloth, M. Sloth, D., Overgaard, K., & Dalgas, U. (2013). Effects of sprint interval training on VO₂max and aerobic exercise performance: A systematic review and meta-analysis. Scandinavian Journal of Medicine & Science in Sports, 23(6), e341–e352. [CrossRef]
- Gist, N. H. Fedewa, M. V., Dishman, R. K., & Cureton, K. J. (2014). Sprint interval training effects on aerobic capacity: A systematic review and meta-analysis. Sports Medicine, 44(2), 269–279.
- McKay, B. R. Paterson, D. H., & Kowalchuk, J. M. (2009). Effect of short-term high-intensity interval training vs. continuous training on O₂ uptake kinetics, muscle deoxygenation, and exercise performance. Journal of Applied Physiology, 107(4), 128–136. [CrossRef]
- Bailey, S. J. Wilkerson, D. P., Dimenna, F. J., et al. (2009). Influence of repeated sprint training on pulmonary O₂ uptake and muscle deoxygenation kinetics in humans. Journal of Applied Physiology, 106(6), 1875–1887. [CrossRef]
- Boyd, J. C. Simpson, C. A., Jung, M. E., et al. (2013). Reducing the intensity and volume of interval training diminishes cardiovascular adaptation but not mitochondrial biogenesis in overweight/obese men. PLoS ONE, 8(7), e68091. [CrossRef]
- Babraj, J. A. Vollaard, N. B., Keast, C., et al. (2009). Extremely short-duration high intensity interval training substantially improves insulin action in young healthy males. BMC Endocrine Disorders, 9, 3. [CrossRef]
- Richards, J. C. Johnson, T. K., Kuzma, J. N., et al. (2010). Short-term sprint interval training increases insulin sensitivity in healthy adults but does not affect the thermogenic response to β-adrenergic stimulation. Journal of Physiology, 588(15), 2961–2972.
- Ma, J. K. Scribbans, T. D., Edgett, B. A., et al. (2013). Extremely low-volume, high-intensity interval training improves exercise capacity and increases mitochondrial protein content in human skeletal muscle. Journal of Molecular and Integrative Physiology, 3, 202–210.
- Currie, K. D. Dubberley, J. B., McKelvie, R. S., et al. (2013). Low-volume, high-intensity interval training in patients with CAD. Medicine & Science in Sports & Exercise, 45(8), 1436–1442. [CrossRef]
- Cuddy, T. F. Ramos, J. S., & Dalleck, L. C. (2019). Reduced-exertion high-intensity interval training is more effective at improving cardiores piratory fitness and cardiometabolic health than traditional moderate-intensity continuous training. International Journal of Environmental Research and Public Health, 16(3), 483. [CrossRef]
- Gillen, J. B. Percival, M. E., Ludzki, A., et al. (2013). Interval training in the fed or fasted state improves body composition and muscle oxidative capacity in overweight women. Obesity, 21(11), 2249–2255. [CrossRef]
- Laursen, P. B. (2010). Training for intense exercise performance: High-intensity or high-volume training? Scandinavian Journal of Medicine & Science in Sports, 20(Suppl 2), 1–10. [CrossRef]
- Helgerud, J. Hoff, J., Wang, E., et al. (2001). Aerobic interval training vs. moderate continuous training: Cardiorespiratory and metabolic effects. Medicine & Science in Sports & Exercise, 33(9), 1360–1366. [CrossRef]
- Laursen, P. B. Buchheit, M. (2019). Science and application of high-intensity interval training: A brief review. Sports Medicine, 49(6), 843–866.
- Slørdahl, R. Slørdal, O., Fosså, A., et al. (2004). Atrioventricular plane displacement in untrained and trained females. Medicine & Science in Sports & Exercise, 36(11), 1871–1878.
- Helgerud, J. Ellingsen, Ø., & Hoff, J. (2001). Training-induced modulation of stroke volume and cardiac output: Comparisons between interval and continuous exercise. Journal of Sports Sciences, 19(10), 1045–1055.
- Badau D, Badau A, Joksimović M, Manescu CO, Manescu DC, Dinciu CC, Margarit IR, Tudor V, Mujea AM, Neofit A, et al. Identifying the level of symmetrization of reaction time according to manual lateralization between team sports athletes, individual sports athletes, and non-athletes. Symmetry. 2023;16:28.
- Badau D, Badau A, Ene-Voiculescu V, Ene-Voiculescu C, Teodor DF, Sufaru C, Dinciu CC, Dulceata V, Manescu DC, Manescu CO. El impacto de las tecnologías en el desarrollo de la velocidad repetitiva en balonmano, baloncesto y voleibol. Retos. 2025;64:809–24.
- Cano LA, Albarracín AL, Pizá AG, García-Cena CE, Fernández-Jover E, Farfán FD. Assessing cognitive workload in motor decision-making through functional connectivity analysis: Towards early detection and monitoring of neurodegenerative diseases. Sensors. 2024;24:1089.
- Ozarslan FS, Duru AD. Differences in anatomical structures and resting-state brain networks between elite wrestlers and handball athletes. Brain Sci. 2025;15(3):285.
- Herrera-Amante CA, Carvajal-Veitía W, Yáñez-Sepúlveda R, Alacid F, Gavala-González J, López-Gil JF, et al. Body asymmetry and sports specialization: An exploratory anthropometric comparison of adolescent canoeists and kayakers. J Funct Morphol Kinesiol. 2025;10:70.
- Mănescu, CO. Fotbal - aspecte privind pregătirea fizică a juniorilor. Bucharest: Editura ASE; 2008.
- Ruzbarska B, Cech P, Bakalar P, Vaskova M, Sucka J. Cognition and sport: How does sport participation affect cognitive function? Monten J Sports Sci Med. 2025;14(1):37–43.
- Steff N, Badau D, Badau A. Improving agility and reactive agility in basketball players U14 and U16 by implementing Fitlight technology in the sports training process. Appl Sci. 2024;14(9).
- Barros Suazo TB, Vidal-Espinoza R, Gomez Campos R, Guzman AB, Cossio-Bolaños M, Urra Albornoz C. Comparación de la memoria de trabajo y la velocidad de reacción de miembros superiores entre jóvenes tenismesistas y estudiantes universitarios. Sportis. 2025;11(2):1–14.
- Živković A, Marković S, Cuk I, Knežević OM, Mirkov DM. Reliability and validity of key performance metrics of modified 505 test. Life. 2025;15(2):198.

| Participant | VO2 Max Pre | VO2 Max Post | Vertical Jump Pre | Vertical Jump Post | Body FatPre | Body Fat Post |
|---|---|---|---|---|---|---|
| Student 1 | 45.84 | 48.58 | 38.06 | 43.41 | 22.96 | 18.6 |
| Student 2 | 44.51 | 53.98 | 38.94 | 46.2 | 19.39 | 18.79 |
| Student 3 | 46.16 | 49.87 | 36.18 | 40.85 | 24.25 | 16.74 |
| Student 4 | 48.0 | 47.57 | 35.91 | 42.05 | 18.36 | 18.56 |
| Student 5 | 44.31 | 51.71 | 41.94 | 41.85 | 22.53 | 18.69 |
| Student 6 | 44.31 | 47.21 | 43.57 | 38.42 | 25.9 | 16.67 |
| Student 7 | 48.12 | 50.36 | 39.28 | 44.05 | 19.22 | 21.83 |
| Student 8 | 46.41 | 45.59 | 42.51 | 43.94 | 20.11 | 19.05 |
| Student 9 | 43.81 | 46.98 | 40.58 | 43.12 | 21.51 | 15.72 |
| Student 10 | 45.94 | 50.33 | 37.56 | 42.35 | 20.24 | 19.41 |
| Student 11 | 43.83 | 51.52 | 40.58 | 38.57 | 18.04 | 16.15 |
| Student 12 | 43.82 | 50.28 | 44.11 | 41.75 | 21.44 | 19.67 |
| Student 13 | 45.31 | 49.65 | 39.39 | 42.0 | 19.07 | 20.42 |
| Student 14 | 40.78 | 49.24 | 44.19 | 40.53 | 22.29 | 16.46 |
| Student 15 | 41.18 | 46.65 | 31.64 | 42.58 | 19.37 | 20.03 |
| Student 16 | 43.62 | 48.32 | 41.97 | 44.39 | 24.55 | 18.93 |
| Student 17 | 42.67 | 48.89 | 39.76 | 49.14 | 19.66 | 19.74 |
| Student 18 | 45.46 | 52.23 | 38.6 | 43.66 | 20.62 | 21.89 |
| Student 19 | 42.89 | 50.66 | 39.78 | 43.92 | 23.01 | 17.61 |
| Student 20 | 41.83 | 46.02 | 33.54 | 42.86 | 18.72 | 16.59 |
| Student 21 | 47.88 | 50.61 | 38.84 | 36.96 | 21.78 | 16.32 |
| Student 22 | 44.33 | 49.05 | 40.57 | 43.02 | 24.04 | 16.47 |
| Student 23 | 44.94 | 48.41 | 43.93 | 43.29 | 17.92 | 17.95 |
| Student 24 | 41.81 | 51.25 | 37.95 | 50.98 | 21.69 | 18.78 |
| Student 25 | 43.66 | 52.17 | 37.07 | 42.48 | 21.85 | 18.65 |
| Student 26 | 45.03 | 51.95 | 37.99 | 44.06 | 22.94 | 19.75 |
| Student 27 | 42.38 | 48.05 | 42.25 | 42.99 | 18.7 | 18.13 |
| Student 28 | 45.59 | 49.22 | 40.49 | 39.36 | 18.53 | 21.01 |
| Student 29 | 43.54 | 50.63 | 37.91 | 46.76 | 22.4 | 17.57 |
| Student 30 | 44.19 | 52.05 | 41.04 | 45.51 | 21.92 | 23.54 |
| Variable pair | Correlation coefficient (r) |
p-value | Interpretation |
|---|---|---|---|
| VO₂ Max & Body Fat Reduction |
-0.61 | < 0.01 | Significant inverse relationship |
| VO₂ Max & Vertical Jump |
0.24 | 0.19 | Not statistically significant |
| Vertical Jump & Body Fat Reduction |
-0.45 | 0.015 | Moderate inverse correlation |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).