The Effect of a High-Intensity Interval Training (HIIT) Program on Body Composition and Health Status Indicators in Men Aged 30–40 Years
DOI:
https://doi.org/10.65405/v5jtqw70Keywords:
High-Intensity Interval Training (HIIT), Body Composition, Health Status, Resting Metabolic Rate, Men (30–40 years).Abstract
This study aimed to examine the effect of a High-Intensity Interval Training (HIIT) program on health status indicators and body composition components among men aged 30–40 years. The researchers employed a one-group pretest-posttest experimental design on a purposive sample of 10 men. Data were collected using a bioelectrical impedance body composition analyzer (InBody) to evaluate biological variables. Due to the small sample size and non-normal distribution, the Wilcoxon Signed-Rank Test was utilized to determine statistical differences, alongside calculating Hedges' g for effect size and confidence intervals. The results revealed statistically significant differences (P ≤ 0.05) between the pre- and post-measurements in favor of the post-measurement across all variables. A significant decrease was observed in body weight, body mass index (BMI), body fat mass, and visceral fat, accompanied by a significant increase in resting metabolic rate, general health status, skeletal muscle mass, total body water, protein, and minerals. The study concluded that the HIIT program was effective in producing comprehensive positive adaptations in body composition and health indicators for this age group. The researchers recommended adopting standardized HIIT programs and evaluating multifaceted body composition parameters rather than relying solely on body weight.
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References
Anderson, G., Garcia, C. J., Sweed, T., & Medler, S. (2024). Measuring Body Composition and Functional Strength: Implications for the Clinical Assessment of Skeletal Muscle. Physiology. doi:https://doi.org/10.1152/physiol.2024.39.s1.385
Cavedon, V., Milanese, C., Marchi, A., & Zancanaro, C. (2020). Different amount of training affects body composition and performance in High-Intensity Functional Training participants. Plos one, 15(8), p. e0237887. doi:https://doi.org/10.1371/journal.pone.0237887
Chen, X., He, H., Xie, K., Zhang, L., & Cao, C. (2024). Effects of various exercise types on visceral adipose tissue in individuals with overweight and obesity: A systematic review and network meta-analysis of 84 randomized controlled trials. Obesity Reviews, 25(3), p. e13666. doi:https://doi.org/10.1111/obr.13666
Edwards, J. J., Griffiths, M., Deenmamode, A. P., & Drisooll, J. M. (2023). High-Intensity Interval Training and Cardiometabolic Health in the General Population: A Systematic Review and Meta-Analysis of Randomised Controlled Trials. Sports Medicine (Auckland, N. Z), 53(9), pp. 1753-1763. doi:https://doi.org/10.1007/s40279-023-01863-8
Fritz, P., Fritz, R., & Mayer, L. (2022). Hungarian male water polo players’ body composition can predict specific playing positions and highlight different nutritional needs for optimal sports performance. BMC Sports Sci Med Rehabil, 14(165). doi:https://doi.org/10.1186/s13102-022-00560-9
Fuller, N., Wells, J. K., & Elia, M. (Journal of Nuytition). Evaluation of a model for total body protein mass based on dual-energy X-ray absorptiometry: comparison with a reference four-component model. British, 86(1), pp. 45-52. doi:https://doi.org/10.1079/BJN2001387
Griffiths, M., Edwards, J. J., & McNamara, J. (2025). The effects of high intensity interval training on quality of life: a systematic review and meta-analysis. J Public Health (Berl), 33, pp. 2175-2185. doi: https://doi.org/10.1007/s10389-024-02192-4
Iglay, H., Thyfault, J., & Apolzan, J. (n.d.). Resistance training and dietary protein: effects on glucose tolerance and contents of skeletal muscle insulin signaling proteins in older persons. The American Journal of Clinical Nutrition, 85, pp. 1005-1013.
Khodadadi, F., Bagheri, R., Negaresh, R., Moradi, S., Nordvall, M., Camera, D. M., . . . Suzuki, K. (2023). ). The Effect of High-Intensity Interval Training Type on Body Fat Percentage, Fat and Fat-Free Mass: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Journal of Clinical Medicine, 12(6), p. 2291. doi:https://doi.org/10.3390/jcm12062291
Khodadadi, F., Bagheri, R., Negaresh, R., Moradi, S., Nordvall, M., Camera, D. M., . . . Suzuki, K. (2023). The Effect of High-Intensity Interval Training Type on Body Fat Percentage, Fat and Fat-Free Mass: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Journal of clinical medicine, 12(6), p. 2291. doi:https://doi.org/10.3390/jcm12062291
Kim, E. S., Kim, D. H., Kim, D. A., Kim, J. W., Choi, J. Y., & Yoon, S. J. (2022). ). The Effects of 8-week Low-Volume High Intensity Interval Exercise on Leptin, Blood Lipid and Resting Metabolic Rate in Obese Men. The Korean Journal of Physical Educayion, 61(5), pp. 135-147.
MacKenzie-Shalders, K., Kelly, J. T., So, D., Coffey, V. G., & Byrne, N. M. (2020). The effect of exercise interventions on resting metabolic rate: A systematic review and meta-analysis. Journal of sports sciences, 38(14), pp. 1635-1649. doi:https://doi.org/10.1080/02640414.2020.1754716
Mohajan, D., & Mohajan, H. K. (2024). Visceral Fat Increases Cardiometabolic Risk Factors Among Type 2 Diabetes Patients. Innovation in Science and Technology, 3(5), pp. 26-30. doi:https://doi.org/10.56397/ist.2024.09.03
Pklaza-Florido, A., & Alcantara, J. M. (n.d.). Resting Metabolic Rate of Individuals. Mwtabolites, 13(8), p. 926. doi:https://doi.org/10.3390/metabo13080926
Poon, E. T., Wongpipit, W., Li, H. Y., Wong, S. H., Siu, P. M., Kong, A. P., & Johnson, N. A. (2024). High-intensity interval training for cardiometabolic health in adults with metabolic syndrome: a systematic review and meta-analysis of randomised controlled trials. British Journal of Sports medicine, 58(21), pp. 1267-1284. doi:https://doi.org/10.1136/bjsports-2024-108481
Poon, L. T., Li, H. Y., Little, J. P., Wong, S. H., & Ho, R. S. (2024). Efficacy of Interval Training in Improving Body Composition and Adiposity in Apparently Healthy Adults: An Umbrella Review with Meta-Analysis. Aports Medicine (Auckland, N. Z,), 54(11), pp. 2817-2840. doi:https://doi.org/10.1007/s40279-024-02070-9
Prado, C. M., Conzalez, M. C., Norman, K., Barazzoni, R., Cederholm, T., Compher, C., . . . Bosy-Westphal, A. (2025). Methodological standards for body composition-an expert-endorsed guide for research and clinical applications: levels, models, and terminology. The American journal of clinical nutrition, 122(2), pp. 384-391. doi:https://doi.org/10.1016/j.ajcnut.2025.05.022
Quah, S. R. (2025). Public Health and Epidemiology in a Perilous World, International Encyclopedia of Public Health. Academic Press, Third Edtion, pp. 2-10. doi:https://doi.org/10.1016/b978-0-323-99967-0.00171-x
Rodriguez, J. B., Rodriguez de Vera, G., Belmonte, L. S., Mesa Diaz, A. M., Caballero, M. I., Galan, I., & Martinez-Brocca, M. A. (2024). Transforming body composition with semaglutide in adults with obesity and type 2 diabetes mellitus. Frontiers in Endocrinology, 1386542, p. 15.
Scoubeau, C., Bonnechere, B., Cnop, M., Faoro, V., & Klass, M. (2022). Effectiveness of Whole-Body High-Intensity Interval Training on Health-Related Fitness: A Systematic Review and Meta-Analysis. International Journal of Inviromental research and public health, 19(5), p. 9559. doi:https://doi.org/10.3390/ijerph19159559
Song, X., Cui, X., & Su, W. (2024). Comparative effects of high-intensity interval training and moderate-intensity continuous training on weight and metabolic health in college students with obesity. Sci Rep, 14(16558). doi: https://doi.org/10.1038/s41598-024-67331-z
Yanmeng, Q., Han, Y., Dandan, L., Xiao, W., Xitong, J., & Xuesong, S. (2025). Association between body composition components and bone mineral density in older adults. Scientific Report, 15(1), p. 26190. doi:https://www.nature.com/articles/s41598-025-11642-2
