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Vol. 5 No. 1 (2025): Volume 5, Issue 1, Year 2025

Articles

Physical Characterstics of Junior Athletes in India Across Training Phase and Sports

  • Keren Harish Tiwari,
  • Venkata Ramana Yagnambhatt
Keren Harish Tiwari
Department of Sports Physiology and Nutrition, National Sports University, Manipur, India
Venkata Ramana Yagnambhatt
MYAS-NIN Dept. of Sports Science, ICMR - National Institute of Nutrition, Hyderabad, India
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DOI: https://doi.org/10.34256/ijk25111

Published 15-04-2025

Keywords

  • Junior Athletes,
  • Physical Characteristics,
  • Body composition,
  • Fat %

How to Cite

Tiwari, K. H., & Yagnambhatt, V. R. (2025). Physical Characterstics of Junior Athletes in India Across Training Phase and Sports. International Journal of Kinanthropometry, 5(1), 106–120. https://doi.org/10.34256/ijk25111

Copyright (c) 2025 Keren Harish Tiwari, Venkata Ramana Yagnambhatt

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Introduction: Adolescent athletes are at a crucial age, requiring energy for training, apart from growth and young athletes need to maintain a positive energy balance. Changes in physical characteristics, particularly body composition are also a part of the growing phase and may reflect on energy balance. Therefore, the present study aimed to understand the physical characteristics of junior athletes across the different phases of training.  Methods: In this longitudinal study, 79 junior athletes (Athletics: Boys=19, Girls=17; Football: Boys=13, Girls=16; Weightlifting: Boys=9, Girls=5 at PC-rest phase and sample size varies across the phases) aged 10-17 years were recruited from a State Sports School, with majority participating at the national-level and training for a minimum of 24-hours per week for a minimum period of 3-years. Physical characteristics including circumferences and body composition (using sum of 4-skinfolds) was assessed across post-competitive rest (PC-rest, January), preparatory (PP, July) & competition phase (CP, December) in a calendar year. The differences in physical characteristics across phases of training within sports was assessed using the mixed-method ANOVA and across events using univariate ANOVA. Results: Across training phases, the boys in athletics event, showed a decrease in circumferences like neck, waist, thigh, and calf from PC-rest to CP phase, however, male football players showed a significant increase in neck, waist, thigh, calf, and Mid-Upper Arm Circumferences (MUAC), along with supra-spinale skinfold. Further, weightlifting boys also exhibited a significant increase in Chest, MUAC and fat-free mass, with a significant decline in bicep and supra-spinale skinfold across PC-rest to CP phase. Across events, body fat percent was lower among athletic group and fat-free mass was higher among weightlifters, while footballers exhibited a higher fat percentage at CP. MUAC was higher in weightlifters, irrespective of training phase and event.  Conclusion : Physical characteristics, particularly circumferences and body composition varied across events and phases of training, with weightlifters exhibiting a greater improvement in fat-free mass, while track athletes exhibiting lower fat percentage at CP-phase. Further studies on larger data-sets are warranted for exploring normative standards for Indian athletes.

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References

  1. Aerenhouts, D., Clarys, P., Taeymans, J., & Van Cauwenberg, J. (2015). Estimating body composition in adolescent sprint athletes: Comparison of different methods in a 3 years longitudinal design. PloS one, 10(8), e0136788.
  2. Alburquerque, F., Sánchez, F., Prieto, J., López, N., & Santos, M. (2005). Kinanthropometric assessment of a football team over one season. European Journal of Anatomy, 9(1), 17-22
  3. Amorós, G. B., Padilla, E. L., & de la Rosa, F. J. B. (2015). Nutritional intake and nutritional status in elite Mexican teenagers soccer players of different ages. Nutricion Hospitalaria, 32(4), 1735-1743.
  4. Bellew, J. W., & Gehrig, L. (2006). A comparison of bone mineral density in adolescent female swimmers, soccer players, and weight lifters. Pediatric Physical Therapy, 18(1), 19-22.
  5. Berges, G.L., Llorente, Á.M., Bruton, A.G., Agüero, A.G., Rodríguez, G.V., Casajús, J.A. (2017). Body fat percentage comparisons between four methods in young football players: are they comparable?. Nutricion hospitalaria, 34(5): 1119-1124.
  6. Braun, H., von Andrian-Werburg, J., Schänzer, W., & Thevis, M. (2018). Nutrition Status of Young Elite Female German Football Players. Pediatric exercise science, 30(01), 1-11.
  7. Caccialanza, R., Cameletti, B., & Cavallaro, G. (2007). Nutritional intake of young Italian high-level soccer players: Under-reporting is the essential outcome. Journal of Sports Science and Medicine, 6, 538-542.
  8. Chamari, K., Moussa-Chamari, I., Boussaidi, L., Hachana, Y., Kaouech, F., & Wisløff, U. (2005). Appropriate interpretation of aerobic capacity: allometric scaling in adult and young soccer players. British Journal of Sports Medicine, 39(2), 97-101.
  9. Deprez, D., Valente-dos-Santos, J., e Silva, M. C., Lenoir, M., Philippaerts, R. M., & Vaeyens, R. (2014). Modeling developmental changes in the yo-yo intermittent recovery test level 1 in elite pubertal soccer players. International Journal of Sports Physiology and Performance, 9(6), 1006-1012.
  10. Douda, H. T., Toubekis, A. G., Avloniti, A. A., & Tokmakidis, S. P. (2008). Physiological and anthropometric determinants of rhythmic gymnastics performance. International Journal of Sports Physiology and Performance, 3(1), 41-54.
  11. Durnin, J., & Rahaman, M. M. (1967). The assessment of the amount of fat in the human body from measurements of skinfold thickness. British Journal of Nutrition, 21(03), 681-689.
  12. Etchison, W. C., Bloodgood, E. A., Minton, C. P., Thompson, N. J., Collins, M. A., Hunter, S. C., & Dai, H. (2011). Body mass index and percentage of body fat as indicators for obesity in an adolescent athletic population. Sports Health, 3(3), 249-252.
  13. Fry, A.C., Ciroslan, D., Fry, M. D., LeRoux, C.D., Schilling, B.K., Chiu, L.Z. (2006). Anthropometric and performance variables discriminating elite American junior men weightlifters. The Journal of Strength & Conditioning Research, 20(4): 861-866. https://doi.org/10.1519/R-18355.1
  14. García-Pinillos, F., Ruiz-Ariza, A., Moreno del Castillo, R., Latorre-Román, P. Á. (2015). Impact of limited hamstring flexibility on vertical jump, kicking speed, sprint, and agility in young football players. Journal of sports sciences, 33(12): 1293-1297. https://doi.org/10.1080/02640414.2015.1022577
  15. Garrido-Chamorro, R., Sirvent-Belando, J., Gonzalez-Lorenzo, M., Martin-Carratala, M., & Roche, E. (2009). Correlation between body mass index and body composition in elite athletes. Journal of sports medicine and physical fitness, 49(3), 278.
  16. Gioldasis, A., Bekris, E., & Gissis, I. (2014). Playing position: anthropometric and fitness demands in youth soccer. Sport Science Review, 23(3-4), 151-168.
  17. Greene, D. A., Naughton, G. A., Briody, J. N., Kemp, A., Woodhead, H. (2006). Assessment of bone strength at differentially-loaded skeletal regions in adolescent middle-distance runners. Journal of Science and Medicine in Sport, 9(3): 221-230. https://doi.org/10.1016/j.jsams.2006.03.030
  18. Helsen, F.W., Hodges, N.J., Winckel, J. V., Starkes, J.L. (2000). The roles of talent, physical precocity and practice in the development of soccer expertise. Journal of sports sciences, 18(9): 727-736. https://doi.org/10.1080/02640410050120104
  19. Hosseinzadeh, J., Maghsoudi, Z., Abbasi, B., Daneshvar, P., Hojjati, A., & Ghiasvand, R. (2017). Evaluation of dietary intakes, body composition, and cardiometabolic parameters in adolescent team sports elite athletes: a cross-sectional study. Advanced biomedical research, 6(1): 107. https://doi.org/10.4103/2277-9175.213667
  20. Iglesias-Gutiérrez, E., García-Rovés, P.M., García, Á., Patterson, Á. M. (2008). Food preferences do not influence adolescent high-level athletes’ dietary intake. Appetite, 50(2-3): 536-543. https://doi.org/10.1016/j.appet.2007.11.003
  21. Jacobson, B. H., Cook, D., Redus, B. (2003). Correlation between body mass index and percent body fat of trained body builders. Perceptual and motor skills, 96(3): 931-932. https://doi.org/10.2466/pms.2003.96.3.931
  22. Koşar, Ş.N. (2016). Associations of lean and fat mass measures with whole body bone mineral content and bone mineral density in female adolescent weightlifters and swimmers. The Turkish Journal of Pediatrics, 58(1): 79-85. https://doi.org/10.24953/turkjped.2016.01.011
  23. Koury, J.C., Trugo, N.M., Torres, A.G. (2014). Phase angle and bioelectrical impedance vectors in adolescent and adult male athletes. International journal of sports physiology and performance, 9(5): 798-804. https://doi.org/10.1123/ijspp.2013-0397
  24. le Gall, F., Carling, C., Williams, M., & Reilly, T. (2010). Anthropometric and fitness characteristics of international, professional and amateur male graduate soccer players from an elite youth academy. Journal of science and medicine in sport, 13(1), 90-95.
  25. Loprinzi, P., Cardinal, B., Karp, J., Brodowicz, G. (2011). Group training in adolescent runners: Influence on VO2max and 5-km race performance. Journal of Strength and Conditioning Research, 25(10): 2696-2703. https://doi.org/10.1519/JSC.0b013e318207e978
  26. Lozano Berges, G., Matute Llorente, Á., Gómez Bruton, A., González Agüero, A., Rodríguez, G. V., & Casajús, J. A. (2017). Body fat percentage comparisons between four methods in young football players: are they comparable? Nutricion hospitalaria, 34(5).
  27. Lutoslawska, G., Malara, M., Tomaszewski, P., Mazurek, K., Czajkowska, A., Kęska, A., & Tkaczyk, J. (2014). Relationship between the percentage of body fat and surrogate indices of fatness in male and female Polish active and sedentary students. Journal of Physiological Anthropology, 33: 1-6. https://doi.org/10.1186/1880-6805-33-10
  28. Malina, R. M. (2006). Weight training in youth-growth, maturation, and safety: an evidence-based review. Clinical journal of sport medicine, 16(6): 478-487. https://doi.org/10.1097/01.jsm.0000248843.31874.be
  29. Malina, R.M., Eisenmann, J.C., Cumming, S.P., Ribeiro, B., Aroso, J. (2004). Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13–15 years. European journal of applied physiology, 91: 555-562. https://doi.org/10.1007/s00421-003-0995-z
  30. Marfell-Jones, M. J., Stewart, A., & de Ridder, J. (2012). International standards for anthropometric assessment.
  31. Muia, E.N., Wright, H.H., Onywera, V.O., Kuria, E.N. (2016). Adolescent elite Kenyan runners are at risk for energy deficiency, menstrual dysfunction and disordered eating. Journal of Sports Sciences, 34(7): 598-606. https://doi.org/10.1080/02640414.2015.1065340
  32. Naughton, R.J., Drust, B., O’Boyle, A., Morgans, R., Abayomi, J., Davies, I.G., James P.M., Mahon, E. (2016). Daily distribution of carbohydrate, protein and fat intake in elite youth academy soccer players over a 7-day training period. International journal of sport nutrition and exercise metabolism, 26(5): 473-480. https://doi.org/10.1123/ijsnem.2015-0340
  33. Perroni, F., Vetrano, M., Camolese, G., Guidetti, L., Baldari, C. (2015). Anthropometric and somatotype characteristics of young soccer players: Differences among categories, subcategories, and playing position. The Journal of Strength & Conditioning Research, 29(8): 2097-2104. https://doi.org/10.1519/JSC.0000000000000881
  34. Plaza-Carmona, M., Vicente-Rodríguez, G., Gómez-Cabello, A., Martin-Garcia, M., Sanchez-Sanchez, J., Gallardo, L., Ara, I. (2016). Higher bone mass in prepubertal and peripubertal female footballers. European journal of sport science, 16(7): 877-883. https://doi.org/10.1080/17461391.2016.1144794
  35. Quiterio, A.L.D., Carnero, E.A., Baptista, F.M., Sardinha, L.B. (2011). Skeletal mass in adolescent male athletes and nonathletes: relationships with high-impact sports. The Journal of Strength & Conditioning Research, 25(12): 3439-3447. https://doi.org/10.1519/JSC.0b013e318216003b
  36. Rauh, M.J., Barrack, M., Nichols, J.F. (2014). Associations between the female athlete triad and injury among high school runners. International journal of sports physical therapy, 9(7): 948.
  37. Reilly, T., Bangsbo, J., Franks, A. (2000). Anthropometric and physiological predispositions for elite soccer. Journal of sports sciences, 18(9): 669-683. https://doi.org/10.1080/02640410050120050
  38. Reilly, T., Williams, A.M., Nevill, A., Franks, A. (2000). A multidisciplinary approach to talent identification in soccer. Journal of sports sciences, 18(9): 695-702. https://doi.org/10.1080/02640410050120078
  39. Slaughter, M.H., Lohman, T.G., Boileau, R., Horswill, C., Stillman, R.J., Van Loan, M.D., Bemben, D.A. (1988). Skinfold equations for estimation of body fatness in children and youth. Human biology, 709-723.
  40. Stanforth, P.R., Crim, B.N., Stanforth, D., Stults-Kolehmainen, M.A. (2014). Body composition changes among female NCAA division 1 athletes across the competitive season and over a multiyear time frame. The Journal of Strength & Conditioning Research, 28(2): 300-307. https://doi.org/10.1519/JSC.0b013e3182a20f06
  41. Takai, Y., Nakatani, M., Aoki, T., Komori, D., Oyamada, K., Murata, K., Fujita, E., Akamine, T., Urita, Y., Yamamoto M., Kanehisa, H. (2018). Body shape indices are predictors for estimating fat-free mass in male athletes. PloS one, 13(1): e0189836. https://doi.org/10.1371/journal.pone.0189836
  42. Teixeira, A.S., Valente-dos-Santos, J., Coelho-E-Silva, M.J., Malina, R.M., Fernandes-da-Silva, J., do Nascimento Salvador, P.C., De Lucas, R.D., Wayhs, M.C., Guglielmo, L.G.A. (2015). Skeletal maturation and aerobic performance in young soccer players from professional academies. International Journal of Sports Medicine, 36(13): 1069-1075. https://doi.org/10.1055/s-0035-1549922
  43. Trexler, E.T., Smith-Ryan, A.E., Mann, J.B., Ivey, P.A., Hirsch, K.R., Mock, M.G. (2017). Longitudinal body composition changes in NCAA Division I college football players. The Journal of Strength & Conditioning Research, 31(1): 1-8. https://doi.org/10.1519/JSC.0000000000001486
  44. Valente-dos-Santos, J., Coelho-e-Silva, M. J., Tavares, O.M., Brito, J., Seabra, A., Rebelo, A., Sherar, L.B., Elferink-Gemser, M.T., Malina, R.M. (2015). Allometric modelling of peak oxygen uptake in male soccer players of 8–18 years of age. Annals of human biology, 42(2): 126-134. https://doi.org/10.3109/03014460.2014.932007
  45. Vänttinen, T., Blomqvist, M., Nyman, K., Häkkinen, K. (2011). Changes in body composition, hormonal status, and physical fitness in 11-, 13-, and 15-year-old Finnish regional youth soccer players during a two-year follow-up. The Journal of Strength & Conditioning Research, 25(12): 3342-3351. https://doi.org/10.1519/JSC.0b013e318236d0c2
  46. Wong, P.L., Chamari, K., Dellal, A., Wisløff, U. (2009). Relationship between anthropometric and physiological characteristics in youth soccer players. The Journal of Strength & Conditioning Research, 23(4): 1204-1210. https://doi.org/10.1519/JSC.0b013e31819f1e52