Anthropometric indicators as predictors of fat-free mass in college 3-on-3 basketball players
DOI:
https://doi.org/10.12873/441garciaKeywords:
mas libre de grasa, indicadores, basquetbolistas, jovenesAbstract
Introduction: In several sports, body composition (BC) is
an important characteristic that is periodically evaluated in
athletes, as it is considered an important indicator of physical condition.
Objective: To identify the anthropometric indices that
allow predicting fat-free mass (FFM) in selected university 3x3 basketball players belonging to the International University Sports Federation (FISU).
Methodology: A descriptive cross-sectional study was designed in young basketball players from 5 university teams belonging to FISU (Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Mexico and Peru). Forty-six basketball players (24 males and 22 females) with an age range of 18 to 23 years participated voluntarily. Weight, height and FFM were evaluated by electrical bioimpedance. Body mass index (BMI), tri-ponderal index (TPI), and body surface area (BSA) were calculated.
Results: The mean age of males was 21.1±1.9 years and
of females 21.3±2.0 years. The explanatory power between
FFM with BSA in both sexes were high (males R2= 79%, and
in women 80<%). BMI and TPI showed lower values ranging
from R2= 0.07 to R2= 36%). The best fits of the RMSE were
for BSA and in both sexes (RMSE= 3.2 to 4.3).
Conclusion: The results of the study have shown that ASC
is the best predictor of FFM in relation to BMI and TPI. These
findings suggest the use of BSA to estimate the FFM in young 3x3 basketball players of both sexes.
References
Scanlan AT, Dascombe BJ, Kidcaff AP, Peucker JL, Dalbo VJ. Gender-specific activity demands experienced during semiprofessional basketball game play. Int J Sports Physiol Perform. 2015;10(5):618–25. https://doi.org/10.1123/ijspp.2014-0407. DOI: https://doi.org/10.1123/ijspp.2014-0407
Sansone P, Makivic B, Csapo R, Hume P, Martínez-Rodríguez A, Bauer P. Body Fat of Basketball Players: A Systematic Review and Meta-Analysis. Sports Med Open. 2022;8(1):26. doi: 10.1186/s40798-022-00418-x. PMID: 35192081; PMCID: PMC8864055. DOI: https://doi.org/10.1186/s40798-022-00418-x
Drinkwater EJ, Pyne DB, McKenna MJ. Design and interpretation of anthropometric and fitness testing of basketball players. Sport Med. 2008;38(7):565–578. doi: 10.2165/00007256-200838070-00004 DOI: https://doi.org/10.2165/00007256-200838070-00004
Mala L, Maly T, Zahalka F, Bunc V, Kaplan A, Jebavy R, Tuma M. Body composition of elite female players in five different sports games. J Hum Kinet. 2015;45:207-15. doi: 10.1515/hukin-2015-0021. PMID: 25964823; PMCID: PMC4415834. DOI: https://doi.org/10.1515/hukin-2015-0021
Brocherie F, Girard O, Forchino F, Al Haddad H, Dos Santos GA, Millet GP. Relationships between anthropometric measures and athletic performance, with special reference to repeated-sprint ability, in the Qatar national soccer team. Journal of sports sciences. 2014;32(13):1243-54. DOI: https://doi.org/10.1080/02640414.2013.862840
Spiteri T, Newton RU, Binetti M, Hart NH, Sheppard JM, Nimphius S. Mechanical Determinants of faster change of direction and agility performance in female basketball athletes. J Strength Cond Res. 2015;29(8):2205–14. https://doi.org/10.1519/JSC.0000000000000876. DOI: https://doi.org/10.1519/JSC.0000000000000876
Reilly T. Fitness assessment. In: Reilly T, editor. Science and Soccer. London: E & F Spon; 1996. pp. 25–50.
Montgomery PG, and Maloney BD. 3x3 Basketball Competition: Physical and Physiological Characteristics of Elite Players. J Phy Fit Treatment & Sportsl. 2018;5(3): JPFMTS.MS.ID.555664. DOI: https://doi.org/10.19080/JPFMTS.2018.05.555664
Cabarkapa D, Krsman D, Cabarkapa DV, Philipp NM, Fry AC. Physical and Performance Characteristics of 3× 3 Professional Male Basketball Players. Sports. 2023 Jan 12;11(1):17. DOI: https://doi.org/10.3390/sports11010017
Sociedad Internacional para el Avance de la Kineantropometría (ISAK). Estándares internacionales para la valoración antropométrica. Australia. 2001
Du Bois D, Du Bois EF. Clinical calorimetry: tenth paper a formula to estimate the approximate surface area if height and weight be known. Archives of internal medicine. 1916;17(6-2):863-71. DOI: https://doi.org/10.1001/archinte.1916.00080130010002
Sheikhsaraf B, Allah NH, Ali AM. Association of body surface area and body composition with heart structural characteristics of female swimmers. Int J Exerc Sci. 2010;3(3):97-101. PMID: 27182334; PMCID: PMC4738895. DOI: https://doi.org/10.70252/FLLP4773
Teixeira PJ, Sardinha LB, Going SB, Lohman TG. Total and regional fat and serum cardiovascular disease risk factors in lean and obese children and adolescents. Obes Res. 2001;9(8):432-42. doi: 10.1038/oby.2001.57. PMID: 11500523. DOI: https://doi.org/10.1038/oby.2001.57
Yoshizumi T, Shirabe K, Nakagawara H, Ikegami T, Harimoto N, Toshima T, Yamashita Y, Ikeda T, Soejima Y, Maehara Y. Skeletal muscle area correlates with body surface area in healthy adults. Hepatol Res. 2014;44(3):313-8. doi: 10.1111/hepr.12119. Epub 2013 Apr 24. PMID: 23607375. DOI: https://doi.org/10.1111/hepr.12119
Villa C, Primeau C, Hesse U, Hougen HP, Lynnerup N, Hesse B. Body surface area determined by whole-body CT scanning: need for new formulae?. Clinical physiology and functional imaging. 2017;37(2):183-93. DOI: https://doi.org/10.1111/cpf.12284
Zanforlini BM, Alessi A, Pontarin A, De Rui M, Zoccarato F, Seccia DM, Trevisan C, Brunello A, Basso U, Manzato E, Sergi G. Association of body surface area with fat mass, free fat mass and total weight in healthy individuals, and implications for the dosage of cytotoxic drugs. Clinical Nutrition ESPEN. 2021;43:471-7. DOI: https://doi.org/10.1016/j.clnesp.2021.03.003
Piccirilli M, Doretto G, Adjeroh D. A Framework for Analyzing the Whole Body Surface Area from a Single View. PLoS One. 2017;12(1):e0166749. doi: 10.1371/journal.pone.0166749. PMID: 28045895; PMCID: PMC5207503. DOI: https://doi.org/10.1371/journal.pone.0166749
Sansone P, Tessitore A, Paulauskas H, Lukonaitiene I, Tschan H, Pliauga V, et al. Physical and physiological demands and hormonal responses in basketball small-sided games with different tactical tasks and training regimes. J Sci Med Sport. 2019;22(5):602–6. https://doi.org/10.1016/j.jsams.2018.11.017. DOI: https://doi.org/10.1016/j.jsams.2018.11.017
Hector AJ, McGlory C, Damas F, Mazara N, Baker SK, Phillips SM. Pronounced energy restriction with elevated protein intake results in no change in proteolysis and reductions in skeletal muscle protein synthesis that are mitigated by resistance exercise. FASEB J. 2018;32(1):265-275. doi: 10.1096/fj.201700158RR. Epub 2017 Sep 12. PMID: 28899879. DOI: https://doi.org/10.1096/fj.201700158RR
Takai Y, Nakatani M, Aoki T, Komori D, Oyamada K, Murata K, Fujita E, Akamine T, Urita Y, Yamamoto M, Kanehisa H. Body shape indices are predictors for estimating fat-free mass in male athletes. PLoS One. 2018;13(1):e0189836. doi: 10.1371/journal.pone.0189836. PMID: 29346452; PMCID: PMC5772999. DOI: https://doi.org/10.1371/journal.pone.0189836
Lee SY, Gallagher D. Assessment methods in human body composition. Current Opinion in Clinical Nutrition and Metabolic Care. 2008;11(5):566-72. doi: 10.1097/MCO.0b013e32830b5f7a DOI: https://doi.org/10.1097/MCO.0b013e32830b5f23
Looney DP, Potter AW, Arcidiacono DM, Santee WR, Friedl KE. Body surface area equations for physically active men and women. Am J Hum Biol. 2023;35(2):e23823. doi: 10.1002/ajhb.23823. Epub 2022 Oct 26. PMID: 36285812. DOI: https://doi.org/10.1002/ajhb.23823
Fuentes-Lopez J, Callata-Gallegos Z, Mamani-Luque O, Ibañez-Quispe V, Canqui-Flores B, Mendoza-Mollocondo C, Villegas-Abril C, Mamani-Velasquez D, Pacompía-Cari E, Limachi-Flores M, Apaza-Cruz J. Aplicabilidad de la superficie corporal e índices antropométricos para valorar el tamaño corporal en adolescentes que viven a gran altitud. Nutrición Clínica y Dietética Hospitalaria. 2022;42(2). https://doi.org/10.12873/422fuentes DOI: https://doi.org/10.12873/422fuentes
Alvear-Vasquez F, Vidal-Espinoza R, Gomez-Campos R, de Campos LF, Lazari E, Guzmán-Luján JF, Pablos-Monzó A, Cossio-Bolaños M. Body surface area is a predictor of maturity status in school children and adolescents. BMC pediatrics. 2023;23(1):1-7. https://doi.org/10.1186/s12887-023-04222-8 DOI: https://doi.org/10.1186/s12887-023-04222-8
Downloads
Published
License
Copyright (c) 2023 Nutrición Clínica y Dietética Hospitalaria

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Los lectores pueden utilizar los textos publicados de acuerdo con la definición BOAI (Budapest Open Access Initiative)
