Body Composition Assessment of University Athletes: Comparison Between the Data Obtained by Bioelectrical Impedance and by Anthropometry

Authors

  • Bruno Abreu Faculty of Nutrition and Food Sciences, University of Porto, Rua do Campo Alegre, 4150- 180 Porto, Portugal https://orcid.org/0000-0003-0262-9438 (unauthenticated)
  • Rafael Henriques Department of Dietetics and Nutrition, Coimbra Health School, Polytechnic Institute of Coimbra, Rua 5 de Outubro, 3046-854 Coimbra, Portugal https://orcid.org/0000-0003-2335-1834 (unauthenticated)
  • João Paulo Figueiredo Department of Complementary Sciences, Coimbra Health School, Polytechnic Institute of Coimbra, Rua 5 de Outubro, 3046-854 Coimbra, Portugal
  • Helena Loureiro Department of Dietetics and Nutrition, Coimbra Health School, Polytechnic Institute of Coimbra, Rua 5 de Outubro, 3046-854 Coimbra, Portugal

DOI:

https://doi.org/10.34256/ijk2221

Keywords:

University athletes, Body composition, Bioelectrical impedance, Anthropometry

Abstract

Introduction: To compare the values obtained of the most used practical methods in clinical practice, by bioelectrical impedance and by anthropometry of the body composition of university athletes. Methods: Observational analytical study whose sample included 26 athletes of a Portuguese university football team. The assessment of individuals’ body composition was executed through bioelectrical impedance and anthropometry by an ISAK level one anthropometrist accredited completing the inherent protocol. For the data analysis was considered a critical significance level of 5% for a confidence level of 95% to test the hypotheses between the variables under study and their correlations, Pearson's parametric test of linear correlation coefficient was applied. Results: The variability of body composition assessed in the sample is highlighted. Significant correlations were found for fat mass and skinfolds sum (r=0,782; p=<0,001) as well as for individual skinfolds. Respectively through the elaboration of the scatter diagram, the following linear r2= 0.612 was obtained, representing the correlation between the variables. Similar correlations were found in the context of fat free mass and circumferences. However, in the case of the waist-to-hip ratio assessed by electrical bioimpedance and the waist-to-hip ratio assessed by anthropometry, there were lower correlations compared to the other parameters evaluated (r=0,441; p=0,036). Conclusion: It is intended to make it easier for interested sports professionals to select practical methods for assessing the body composition of their athletes, while eliminating the risk of selecting inappropriate methods. It is noted the possibility of replacing or complementing the bioelectrical impedance analysis with an accessible and viable anthropometric method such as the skinfolds sum, especially in teams with lower budgets like the university teams.

References

Achamrah, N., Colange, G., Delay, J., Rimbert, A., Folope, V., Petit A., Grigioni S., Déchelotte P., Coëffier, M. (2018). Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures. PLOS ONE, 13(7): e0200465. https://doi.org/10.1371/journal.pone.0200465

Amaro-Gahete, F.J., De-la-O, A., Jurado-Fasoli, L., Sanchez-Delgado, G., Ruiz, J.R., Castillo, M.J. (2020). Metabolic rate in sedentary adults, following different exercise training interventions: The FIT-AGEING randomized controlled trial. Clinical Nutrition, 39(11): 3230-3240. https://doi.org/10.1016/j.clnu.2020.02.001

Bahat, G., Tufan, A., Kilic, C., Ozturk, S., Akpinar, T.S., Kose, M., Erten, N., Karan, M.A., Cruz-Jentoft, A.J. (2019). Cut-off points for weight and body mass index adjusted bioimpedance analysis measurements of muscle mass. Aging Clinical and Experimental Research, 31(7): 935–942. https://doi.org/10.1007/s40520-018-1042-6

Campa, F., Toselli, S., Mazzilli, M., Gobbo, L.A., Coratella, G. (2021). Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis. Nutrients, 13(5): 1620. https://doi.org/10.3390/nu13051620

Canda, A.S. (2021). Muscle mass index estimated by anthropometry vs bioelectrical impedance: Study in athletes competing by weight categories. Apunts Sports Medicine, 56(211): 100360. https://doi.org/10.1016/j.apunsm.2021.100360

Dimitrijevic, M., Lalovic, D., Milovanov, D. (2021). Correlation of Different Anthropometric Methods and Bioelectric Impedance in Assessing Body Fat Percentage of Professional Male Athletes. Serbian Journal of Experimental and Clinical Research, 1(1): 1–9. https://doi.org/10.2478/sjecr-2021-0026

Dodd, K.D., Newans, T.J. (2018). Talent identification for soccer: Physiological aspects. Journal of Science and Medicine in Sport, 21(10): 1073–1078. https://doi.org/10.1016/j.jsams.2018.01.009

Egan, K.P. (2019). Supporting Mental Health and Well-being Among Student-Athletes. Clinics in Sports Medicine, 38(4): 537–544. https://doi.org/10.1016/j.csm.2019.05.003

Esparza-Ros, F., Vaquero-Cristóbal R., Marfell-Jones M. (2019). International Standards for Anthropometric Assessment (UCAM Universidad Católica de Murcia, Ed.). The International Society for the Advancement of Kinanthropometry.

Hannon, M.P., Carney, D.J., Floyd, S., Parker, L.J. F., McKeown, J., Drust, B., Unnithan, V. B., Close, G.L., Morton J.P. (2020). Cross-sectional comparison of body composition and resting metabolic rate in Premier League academy soccer players: Implications for growth and maturation. Journal of Sports Sciences, 38(11–12): 1326–1334. https://doi.org/10.1080/02640414.2020.1717286

Jagim, A.R., Camic, C.L., Kisiolek, J., Luedke, J., Erickson, J., Jones, M.T., Oliver, J.M. (2018). Accuracy of Resting Metabolic Rate Prediction Equations in Athletes. Journal of Strength and Conditioning Research, 32(7): 1875–1881. https://doi.org/10.1519/JSC.0000000000002111

Jung, M.H., Namkoong, K., Lee, Y., Koh, Y.J., Eom, K., Jang, H., Jung, W., Bae, J., Park, J. (2021). Wrist-wearable bioelectrical impedance analyzer with miniature electrodes for daily obesity management. Scientific Reports, 11(1): 1238. https://doi.org/10.1038/s41598-020-79667-3

Kasper, A.M., Langan-Evans, C., Hudson, J.F., Brownlee, T.E., Harper, L.D., Naughton, R.J., Morton, J.P., Close G.L. (2021). Come Back Skinfolds, All Is Forgiven: A Narrative Review of the Efficacy of Common Body Composition Methods in Applied Sports Practice. Nutrients, 13(4): 1075.

Kim, H., Song, K. H., Ambegaonkar, J.P., Chung, S., Jeon, K., Jiang, F.L., Eom, J. J., Kim, C.H. (2022). Two-megahertz impedance index prediction equation for appendicular lean mass in Korean older people. BMC Geriatrics, 22(1): 385. https://doi.org/10.1186/s12877-022-02997-6

Lee, L.W., Liao, Y.S., Lu, H.K., Hsiao, P.L., Chen, Y.Y., Chi, C.C., Hsieh, K.C. (2017). Validation of two portable bioelectrical impedance analyses for the assessment of body composition in school age children. PLOS ONE, 12(2): e0171568. https://doi.org/10.1371/journal.pone.0171568

López-Taylor, J.R., González-Mendoza, R.G., Gaytán-González, A., Jiménez-Alvarado, J.A., Villegas-Balcázar, M., Jáuregui-Ulloa, E.E., Torres-Naranjo, F. (2018). Accuracy of Anthropometric Equations for Estimating Body Fat in Professional Male Soccer Players Compared with DXA. Journal of Sports Medicine, 2018(1): 1–7. https://doi.org/10.1155/2018/6843792

Martinez-Ferran, M., Rafei, E., Romero-Morales, C., Pérez-Ruiz, M., Lam-Meléndez, A., Munguia-Izquierdo, D., Pareja-Galeano H. (2022). Optimizing Field Body Fat Percentage Assessment in Professional Soccer Players. Applied Sciences, 12(2): 727. https://doi.org/10.3390/app12020727

Munguía-Izquierdo, D., Suárez-Arrones, L., di Salvo, V., Paredes-Hernández, V., Ara, I., Mendez-Villanueva, A. (2019). Estimating fat-free mass in elite youth male soccer players: cross-validation of different field methods and development of prediction equation. Journal of Sports Sciences, 37(11): 1197–1204. https://doi.org/10.1080/02640414.2018.1551045

Nunez, F.J., Munguia-Izquierdo, D., Petri C., Suarez-Arrones, L. (2019). Field Methods to Estimate Fat-free Mass in International Soccer Players. International Journal of Sports Medicine, 40(10): 619–624. https://doi.org/10.1055/a-0969-8591

Nunez, F.J., Munguía-Izquierdo, D., Suárez-Arrones, L. (2020). Validity of Field Methods to Estimate Fat-Free Mass Changes Throughout the Season in Elite Youth Soccer Players. Frontiers in Physiology, 11(16): 1–6. https://doi.org/10.3389/fphys.2020.00016

Pestana, M.H., Gageiro, J.N. (2003). Data analysis for social sciences: the complementarity of SPSS, Edicoes Silabo.

Quinaud, R.T., Fernandes, A., Gonçalves, C.E., Carvalho, H.M. (2020). Student-Athletes’ Motivation and Identity: Variation Among Brazilian and Portuguese University Student-Athletes. Psychological Reports, 123(5): 1703–1723. https://doi.org/10.1177/0033294119892885

Silva, A.M. (2019). Structural and functional body components in athletic health and performance phenotypes. European Journal of Clinical Nutrition, 73(1): 215–224. https://doi.org/10.1038/s41430-018-0321-9

Silva, A.M., Júdice, P.B., Carraça, E. v., King, N., Teixeira, P.J., & Sardinha, L.B. (2018). What is the effect of diet and/or exercise interventions on behavioural compensation in non-exercise physical activity and related energy expenditure of free-living adults? A systematic review. British Journal of Nutrition, 119(12): 1327–1345. https://doi.org/10.1017/S000711451800096X

Smith-Ryan, A.E., Hirsch, K.R., Saylor, H.E., Gould, L.M., Blue, M.N.M. (2020). Nutritional Considerations and Strategies to Facilitate Injury Recovery and Rehabilitation. Journal of Athletic Training, 55(9): 918–930. https://doi.org/10.4085/1062-6050-550-19

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

Villada-Gómez, J. S., González-Correa, C.H., Pineda-Zuluaga, M.C. (2021). Skeletal Muscle Mass Index cut-offs by bioelectrical impedance analysis to determine Sarcopenia Based on healthy young or old Populations: A Comparative Study. Journal of Physics: Conference Series, 2008(1): 012012. https://doi.org/10.1088/1742-6596/2008/1/012012

Wagner, D.R., Teramoto, M. (2020). Interrater reliability of novice examiners using A-mode ultrasound and skinfolds to measure subcutaneous body fat. PLOS ONE, 15(12): e0244019. https://doi.org/10.1371/journal.pone.0244019

Wu, P.F., Ke, Y.P. (2022). Participation in Sports Clubs during College Is an Important Factor Associated with School Counselors’ Participation in Leisure Time Activities. International Journal of Environmental Research and Public Health, 19(9): 5632. https://doi.org/10.3390/ijerph19095632

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Published

2022-12-31

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Articles

How to Cite

Abreu, B., Henriques, R., Figueiredo, J. P., & Loureiro, H. (2022). Body Composition Assessment of University Athletes: Comparison Between the Data Obtained by Bioelectrical Impedance and by Anthropometry. International Journal of Kinanthropometry, 2(2), 1-12. https://doi.org/10.34256/ijk2221