ISAK Home

Vol. 5 Núm. 1 (2025): Volume 5, Issue 1, Year 2025

Articles

Position-Specific Anthropometric Characteristics and Body Composition of Female Field Hockey Players

  • Ekta Kapri,
  • Subrata Dey,
  • Manju Mehta,
  • Kiran Singh,
  • Keren Harish Tiwari,
  • Erika Zemková
Ekta Kapri
Department of Family Resource Management, Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana, India
Subrata Dey
Ergonomics and Sports Physiology Laboratory, Faculty of Health and Wellness, Sri Sri University, Cuttack, Odisha, India
Manju Mehta
Department of Family Resource Management, Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana, India
Kiran Singh
Department of Family Resource Management, Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana, India
Keren Harish Tiwari
Department of Sports Physiology and Nutrition, National Sports University (A Central University), Imphal, Manipur, India
Erika Zemková
Department of Biological and Medical Sciences, Faculty of Physical Education and Sport, Comenius University, Bratislava, Slovakia.
PDF (English)
DOI: https://doi.org/10.34256/ijk25118

Publicado 25-04-2025

Palabras clave

  • Rendimiento deportivo,
  • Porcentaje de grasa corporal,
  • Somatotipo,
  • Aptitud física,
  • Análisis de impedancia bioeléctrica,
  • Correlación
    • ...Más
    Menos

Cómo citar

Kapri, E., Dey, S., Mehta, M., Singh, K., Tiwari, K. H., & Zemková, E. (2025). Position-Specific Anthropometric Characteristics and Body Composition of Female Field Hockey Players. La Revista Internacional De Cineantropometría, 5(1), 180–191. https://doi.org/10.34256/ijk25118

Derechos de autor 2025 Ekta Kapri, Subrata Dey, Manju Mehta, Kiran Singh, Keren Harish Tiwari, Erika Zemková

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Dimensions

Crossref
Scopus
Google Scholar
Europe PMC

Resumen

Introducción: Este estudio tuvo como objetivo examinar las características antropométricas, la composición corporal y los somatotipos de jugadoras de hockey sobre césped.  Métodos: El estudio involucró a 30 atletas femeninas de entre 13 y 21 años del Centro Giri en Hisar, Haryana. Las mediciones antropométricas se realizaron de acuerdo con los protocolos de la Sociedad Internacional para el Avance de la Cineantropometría (ISAK). El análisis de impedancia bioeléctrica (BIA) se empleó para evaluar la composición corporal, mientras que el somatotipo se determinó utilizando el método de Heath-Carter. Los datos se analizaron utilizando estadística descriptiva, análisis de correlación e índices de somatotipo para explorar las diferencias posicionales. Resultados: Los resultados mostraron diferencias significativas en los atributos físicos basados ​​en las posiciones de los jugadores. El estudio encontró correlaciones significativas entre la altura y la masa corporal magra (r = 0,639, p ≤0,05), lo que indica la influencia de la altura en el desarrollo muscular. El análisis antropométrico mostró que las porteras tenían mediciones de pliegues cutáneos notablemente más altas, lo que significa mayores niveles de grasa subcutánea, lo que corresponde a menores demandas aeróbicas. Por el contrario, los delanteros mostraron un porcentaje de grasa corporal sustancialmente menor (18,48 ± 3,23 %) y una mayor masa muscular magra (41,85 ± 4,45 kg), lo que pone de relieve su necesidad de agilidad y velocidad. Los porteros mostraron una media de anchura de hombros (40,51 ± 1,81 cm, p ≤ 0,0001) y una altura de rodilla (51,56 ± 2,10 cm, p ≤ 0,0001) significativamente mayores. Además, el análisis del somatotipo reveló que la mayoría de los jugadores se clasificaron como ectomorfos-endomorfos (índices medios de 4,47-1,95-3,31), mientras que los laterales mostraron una mayor mesomorfia (media de 2,82).  Conclusiones: Estos hallazgos subrayan la necesidad de programas de entrenamiento específicos para cada posición de jugador para optimizar el rendimiento, reducir el riesgo de lesiones y mejorar la eficacia del equipo.

PDF (English)

Citas

  1. Astorino, T.A., Tam, P.A., Rietschel, J.C., Johnson, S.M., Freedman, T.P. (2004). Changes in physical fitness parameters during a competitive field hockey season. The Journal of Strength & Conditioning Research, 18(4): 850–854. https://doi.org/10.1519/00124278-200411000-00029
  2. Bacchi, E., Cavedon, V., Zancanaro, C., Moghetti, P., Milanese, C. (2017). Comparison between dual-energy X-ray absorptiometry and skinfold thickness in assessing body fat in overweigh/obese adult patients with type-2 diabetes. Scientific Reports, 7(1): 17424. https://doi.org/10.1038/s41598-017-17788-y
  3. Carter, J.E.L. (2002). Part 1: The Heath-Carter anthropometric somatotype-instruction manual. Department of Exercise and Nutritional Sciences San Diego State University.1-26
  4. Cole, T.J., Bellizzi, M.C., Flegal, K.M., Dietz, W.H. (2000). Establishing a standard definition for child overweight and obesity worldwide: international survey. Bmj, 320: 1240. https://doi.org/10.1136/bmj.320.7244.1240
  5. Durnin, J.V, Womersley, J.V.G.A (1974a). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British Journal of Nutrition, 32(1): 77–97.
  6. Durnin, J.V.G.A., 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(3): 681–689. https://doi.org/10.1079/BJN19670070
  7. Durnin, J.V.G.A., Womersley, J. (1974b). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British Journal of Nutrition, 32(1): 77–97.
  8. Fedotova, E. (2001). Morphological, Functional, and Fitness-Related Characteristics of Young Female Field Hockey Players. Women in Sport and Physical Activity Journal, 10(2): 145–168. https://doi.org/10.1123/wspaj.10.2.145
  9. Gleeson, M., Nieman, D.C., Pedersen, B.K. (2004). Exercise, nutrition and immune function. Food, Nutrition and Sports Performance, Journal of sports sciences, 22(1), 115-125.
  10. Halson, S.L., Lancaster, G.I., Achten, J., Gleeson, M., Jeukendrup, A.E. (2004). Effects of carbohydrate supplementation on performance and carbohydrate oxidation after intensified cycling training. Journal of Applied Physiology, 97(4): 1245–1253. https://doi.org/10.1152/japplphysiol.01368.2003
  11. Heath, B.H., Carter, J.E.L. (1967). A modified somatotype method. American Journal of Physical Anthropology, 27(1): 57–74. https://doi.org/10.1002/ajpa.1330270108
  12. Hinkle, D.E., Wiersma, W., Jurs, S.G. (2003). Applied statistics for the behavioral sciences (Vol. 663). Houghton Mifflin Boston.
  13. Hirani, V., Mindell, J. (2008). A comparison of measured height and demi-span equivalent height in the assessment of body mass index among people aged 65 years and over in England. Age and Ageing, 37(3): 311–317. https://doi.org/10.1093/ageing/afm197
  14. Holway, F.E., Garavaglia, R. (2009). Kinanthropometry of group I rugby players in Buenos Aires, Argentina. Journal of Sports Sciences, 27(11): 1211–1220. https://doi.org/10.1080/02640410903207408
  15. Hu, H.M., Zhao, C.Y., Zhang, X., Ran, L.H., Liu, T.J. (2015). Correlation analysis on the main and basic body dimension for Chinese adults. Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health: 6th International Conference, DHM 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part II 6, Springer International Publishing,37–43.
  16. Hume, R. (1966). Prediction of lean body mass from height and weight. Journal of Clinical Pathology, 19(4): 389–391. https://doi.org/10.1136/jcp.19.4.389
  17. Kapri, E., Dey, S., Mehta, M., Deshpande, N., Zemková, E. (2023). Analysis of Daily Activity Pattern to Estimate the Physical Activity Level and Energy Expenditure of Elite and Non-Elite Athletes. Applied Sciences, 13(5): 2763. https://doi.org/10.3390/app13052763
  18. Karkare, A. (2011). Anthropometric measurements and body composition of hockey players with respect to their playing positions. Indian Streams Research Journal, 1: 5–8.
  19. López-Fernández, J., García-Unanue, J., Sánchez-Sánchez, J., Colino, E., Hernando, E., Gallardo, L. (2020). Bilateral asymmetries assessment in elite and sub-elite male futsal players. International Journal of Environmental Research and Public Health, 17(9): 3169. https://doi.org/10.3390/ijerph17093169
  20. Machado, R.S.P., Coelho, M.A.S.C., Coelho, K.S.C. (2010). Percentual de gordura corporal em idosos: comparação entre os métodos de estimativa pela área adiposa do braço, pela dobra cutânea tricipital e por bioimpedância tetrapolar. Revista Brasileira de Geriatria e Gerontologia, 13(1): 17–27. https://doi.org/10.1590/S1809-98232010000100003
  21. Manna, I., Khanna, G.L., Dhara, P.C. (2010). Effect of training on anthropometric, physiological and biochemical variables of elite field hockey players. International Journal of Sports Science and Engineering, 4(4): 229–238.
  22. Mascherini, G., Petri, C., Galanti, G. (2015). Integrated total body composition and localized fat-free mass assessment. Sport Sciences for Health, 11: 217–225. https://doi.org/10.1007/s11332-015-0228-y
  23. McGuigan, M.R., Cormack, S.J., Gill, N.D. (2013). Strength and Power Profiling of Athletes. Strength & Conditioning Journal, 35(6): 7–14. https://doi.org/10.1519/SSC.0000000000000011
  24. Nuttall, F.Q. (2015). Body mass index: obesity, BMI, and health: a critical review. Nutrition Today, 50(3): 117–128. https://doi.org/10.1097/NT.0000000000000092
  25. Petri, C., Campa, F., Hugo Teixeira, V., Izzicupo, P., Galanti, G., Pizzi, A., Badicu, G., Mascherini, G. (2020). Body fat assessment in international elite soccer referees. Journal of Functional Morphology and Kinesiology, 5(2): 38. https://doi.org/10.3390/jfmk5020038
  26. Puri, T., Blake, G.M. (2022). Comparison of ten predictive equations for estimating lean body mass with dual-energy X-ray absorptiometry in older patients. The British Journal of Radiology, 95(1133): 20210378. https://doi.org/10.1259/bjr.20210378
  27. Reilly, T., Borrie, A. (1992). Physiology applied to field hockey. Sports Medicine, 14: 10–26. https://doi.org/10.2165/00007256-199214010-00002
  28. Silveira, E.A., Barbosa, L.S., Rodrigues, A.P.S., Noll, M., De Oliveira, C. (2020). Body fat percentage assessment by skinfold equation, bioimpedance and densitometry in older adults. Archives of Public Health, 78: 1–9. https://doi.org/10.1186/s13690-020-00449-4
  29. Singh, S., Singh, K., Singh, M. (2010). Anthropometric measurements, body composition and somatotyping of high jumpers. Brazilian Journal of Biomotricity, 4(4): 266–271.
  30. Suarez-Arrones, L., Petri, C., Maldonado, R.A., Torreno, N., Munguía-Izquierdo, D., Di Salvo, V., Méndez-Villanueva, A. (2018). Body fat assessment in elite soccer players: cross-validation of different field methods. Science and Medicine in Football, 2(3): 203–208. https://doi.org/10.1080/24733938.2018.1445871
  31. Summer, L.C., Cheng, R., Moran, J.T., Lee, M., Belanger, A.J., Taylor IV, W.L., Gardner, E.C. (2024). Changes in Body Composition and Athletic Performance in National Collegiate Athletic Association Division I Female Field Hockey Athletes Throughout a Competitive Season. The Journal of Strength & Conditioning Research, 38(1): 146–152. https://doi.org/10.1519/JSC.0000000000004591
  32. Toro-Román, V., Robles-Gil, M.C., Muñoz, D., Bartolomé, I., Grijota, F.J., Maynar-Mariño, M. (2023). Sex differences in cadmium and lead concentrations in different biological matrices in athletes. Relationship with iron status. Environmental Toxicology and Pharmacology, 99: 104107. https://doi.org/10.1016/j.etap.2023.104107
  33. Ucan, Y. (2015). Effect of National-Level Field Hockey on Physical Fitness and Body Composition Parameters In Turkish Females. The Sport Journal, 1–9. https://doi.org/10.17682/sportjournal/2015.014
  34. Wassmer, D.J., Mookerjee, S. (2002). A descriptive profile of elite US women’s collegiate field hockey players. Journal of Sports Medicine and Physical Fitness, 42(2): 165.