| تعداد نشریات | 62 |
| تعداد شمارهها | 2,323 |
| تعداد مقالات | 19,161 |
| تعداد مشاهده مقاله | 61,614,141 |
| تعداد دریافت فایل اصل مقاله | 31,238,220 |
Anthropometric Predictors of Acute Ventilatory Responses to Maximal Field Exercise in Adolescents | ||
| New Approaches in Exercise Physiology | ||
| دوره 6، شماره 12، اسفند 2024، صفحه 38-58 اصل مقاله (353.95 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22054/nass.2025.88149.1185 | ||
| نویسندگان | ||
| mortaz beiramy* 1؛ Fakhreddin Yaghoob Nezhad2 | ||
| 1Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Urmia University, Urmia, Iran. | ||
| 2Exercise Physiology (PhD)TUM School of Medicine and Health, Technical University of Munich, Germany, | ||
| چکیده | ||
| Purpose: The acute ventilatory response to exercise in adolescents is a critical indicator of cardiorespiratory fitness, yet the predictive power of basic anthropometric measures for this response, particularly in field-based settings, is not fully established. This study aimed to investigate the relationship between anthropometric variables (height, weight, BMI) and acute ventilatory responses both at rest and immediately following a maximal one-mile (1600m) field run in healthy adolescent boys. Method: In a pre-test/post-test experimental design, 80 healthy adolescent boys (mean age: 14.65 ± 1.22 years, height: 168.20 ± 9.72, body mass index: 19.54 ± 2.80) were selected via cluster sampling. Anthropometric data (height, weight, BMI) and estimated VO₂max were recorded. Pulmonary function variables (FVC, FEV₁, VC, TV, MVV) were measured via spirometry at rest and immediately after a maximal one-mile run. Stepwise multiple regression analysis was used to predict ventilatory responses from anthropometric and physiological variables. Results: Height, weight, and BMI were all significant predictors of pulmonary function (FVC, FEV₁, VC) in both pre- and post-test conditions (p < 0.05). Height emerged as the strongest single predictor. A slight but consistent decrease in mean FVC, FEV₁, and VC values was observed post-exercise. VO₂max was a weaker predictor compared to anthropometric measures. Conclusion: Basic anthropometric characteristics, most notably height, are strong and consistent predictors of pulmonary function in adolescent boys, both at rest and following acute strenuous exercise. These findings highlight the importance of using individual morphometric characteristics for accurately assessing and interpreting exercise-induced ventilatory responses in youth populations. Field-based testing provides a valid practical method for such evaluations. | ||
| کلیدواژهها | ||
| Exercise؛ Adolescents؛ Anthropometry؛ Pulmonary Ventilation | ||
| مراجع | ||
|
Chatterjee, S., et al. (2018). Pulmonary function in Indian twin children: Correlation with anthropometric variables. Indian Journal of Pediatrics, 85(4), 300-306.
Global Initiative for Asthma (GINA). (2023). Global strategy for asthma management and prevention. Retrieved from
https://ginasthma.org/
Mercier, J., et al. (2021). Influence of lean body mass on tidal volume response to exercise in adolescent boys. Journal of Applied Physiology, 130(2), 345-352.
Quanjer, P. H., et al. (2012). Multi-ethnic reference values for spirometry for the 3–95-yr age range: The global lung function 2012 equations. European Respiratory Journal, 40(6), 1324-1343.
Stocks, J., & Quanjer, P. H. (2013). Reference values for lung function testing: Past, present and future. European Respiratory Journal, 42(6), 1439-1449.
Torres, M., et al. (2020). Anthropometric predictors of pulmonary function in children and adolescents. Respiratory Medicine, 170, 106034.
Wang, L., et al. (2022). Impact of obesity on ventilatory responses during exercise in children. Pediatric Pulmonology, 57(5), 11001107.
Zorrio, M., & Gandu, P. (2019). Pulmonary function and anthropometric characteristics in Malawian children. African Journal of Respiratory Medicine, 14(1), 12-18.
Heyward, V. H., & Gibson, A. L. (2014). Advanced fitness assessment and exercise prescription (7th ed.). Human Kinetics.
Graham, B. L., Steenbruggen, I., Miller, M. R., Barjaktarevic, I. Z., Cooper, B. G., Hall, G. L., …& Brusasco, V. (2019). Standardization of spirometry 2019 update. An official American Thoracic Society and European Respiratory Society technical statement. American Journal of Respiratory and Critical Care Medicine, 200(8), e70-e88.
Rosenthal, M., & Bain, S. H. (2018). Lung function in children and adolescents. Paediatric Respiratory Reviews, 26, 58-63.
Stanojevic, S., Wade, A., Stocks, J., Hankinson, J., Coates, A. L., Pan, H., & Cole, T. J. (2008). Reference ranges for spirometry across all ages: a new approach. American Journal of Respiratory and Critical Care Medicine, 177(3), 253-260.
Tartibian, Bakhtyar & Khorshidi, Mehdi. (2005). Predicting of Physiological indexes in exercise (field and laboratory), Tehran, Teimorzadeh Press. ISBN: 964-420-211-2.
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates R. Crapo, P. Enright CM, van der Grinten P, Gustafsson R, Jensen DC, Johnson N, MacIntyre R, McKay D, Navajas OF, Pedersen R, Pellegrino G, Viegi G, Wanger J. (2005). "Standardisation of spirometry". Eur Respiratory Journal. 26:319-338.
Laveneziana, P., Albuquerque, A., Aliverti, A., Babb, T., Barreiro, E., Dres, M., & O'Donnell, D. E. (2019). ERS statement on respiratory muscle testing at rest and during exercise. European Respiratory Journal, 53(6), 1801214.
Dixon, A. E., & Peters, U. (2018). The effect of obesity on lung function. Expert Review of Respiratory Medicine, 12(9), 755– 767.
Weiler, J. M., Brannan, J. D., Randolph, C. C., Hallstrand, T. S., Parsons, J., Silvers, W., & Bernstein, D. I. (2016). Exerciseinduced bronchoconstriction update—2016. Journal of Allergy and Clinical Immunology, 137(1), 1-10.
Bassett, D. R., & Howley, E. T. (2000). Limiting factors for maximum oxygen uptake and determinants of endurance performance. Medicine & Science in Sports & Exercise, 32(1), 70–84. https://doi.org/10.1097/00005768-200001000-00012
Fasihi, A., Siyahkohiyan, M., Jafarnezhadgero, A., Fasihi, L., & Sheikhalizade, H. (2021). The effect of exhaustive fatigue protocol on knee muscle co-contraction in healthy and pronated foot individuals during walking. Razi Journal of Medical Sciences, 28(8), 21–32.
Fasihi, L., Tartibian, B., & Eslami, R. (2021). Evaluation of osteoporosis using serum osteocalcin and alkaline phosphatase in active middle-aged women. Yafteh, 23, 112–125.
Jokar, P., Behpoor, N., Fasihi, L., Fasihi, A., & Ebrahimi Torkamani, B. (2021). The Effect of a Twelve-week Endurance Swimming Training on Structural and Functional Features of Heart in Inactive Male Adolescents. Scientific Journal of Rehabilitation Medicine, 10(4), 756–767.
Krchegani, A. M., & Savari, M. (2025). Integrating the Protection Motivation Model with Place Attachment Theory to Examine
Rural Residents’ Intentions toward Low-Carbon Behaviors: Empirical Evidence from Iran. Results in Engineering, 107180. | ||
|
آمار تعداد مشاهده مقاله: 197 تعداد دریافت فایل اصل مقاله: 71 |
||