Correlation of Different Anthropometric Methods and Bioelectric Impedance in Assessing Body Fat Percentage of Professional Male Athletes

Dimitrijevic, Marko; Lalovic, Dijana; Milovanov, Djordje

doi:10.2478/sjecr-2021-0026

Abstract

Studies examining correlation of existing anthropometric methods developed for specific and general athlete population and BIA method are much more scarce and often conducted using only one anthropometry method for comparison with BIA method per study. Aim: Examination of the correlation between different anthropometric methods and BIA method in assessing body fat percentage of general male athlete population. The study was conducted using 85 professional athletes from Serbia, average age of 23,7 ± 4,3 years. Correlation between anthropometric methods and BIA method was examined using Spearman rang correlation. Sixteen anthropometric equations using a total of ten skinfolds were selected from eleven anthropometric methods developed for specific or general male athlete population. All sixteen anthropometric equations revealed a strong correlation with BIA method. Faulkner's anthropometric skinfold equation (%BF = 5,783 + (0,153 (triceps + subscapular + supra-iliac + abdominal)) revealed the strongest correlation coefficient (r_s = 0,792) and the shortest bias-corrected and accelerated confidence interval length (BCa CI 95% (0,712 – 0,849)). Even though ten of the sixteen anthropometric equations revealed a very strong correlation, Faulkner's equation showed the largest Spearman's correlation coefficient with BIA method in assessing body fat of professional male athletes. Faulkner's equation may be the best candidate that can be used as replacement of BIA method for general male athlete population. It would be useful and interesting to repeat a similar study with the addition of one of the referent methods from the second level of validity group.

References

Ostojic SM. Changes in body fat content of top-level soccer players. J Sports Sci Med. 2002;1(2):54–5.
Search in Google Scholar Back to article
Reilly T. Science and Soccer. In: Reilly T, editor. London: E. & F.N. Spon; 1996. p. 25–49.
Search in Google Scholar Back to article
Ostojic SM, Zivanic S. Effects of training on anthropometric and physiological characteristics of elite Serbian soccer players. Acta Biol Med Exp. 2001;(27):48.
Search in Google Scholar Back to article
Reilly T, Collins K. Science and the Gaelic sports: Gaelic football and hurling. Eur J Sport Sci. 2008;8(5):231–40.
Search in Google Scholar Back to article
Torres Navarro V, Campos Granell J, Aranda Malavés R. Influencia de la masa grasa para el VO2max y Umbrales Ventilatorios en jóvenes deportistas de especialidades deportivas de resistencia. Sport Sci J Sch Sport Phys Educ Psychomot. 2016;3(1):530.
Search in Google Scholar Back to article
Ramos NJ, Zubeldía GD. Masa Muscular y Masa Grasa, y su relación con la Potencia Aeróbica y Anaeróbica en Futbolistas de 18 a 20 años de Edad (Parte II). PubliCE. 2003;173.
Search in Google Scholar Back to article
Kelly RA, Collins K. The seasonal variations in anthropometric and performance characteristics of elite intercounty gaelic football players. J Strength Cond Res. 2018;32(12):3466–73.
Search in Google Scholar Back to article
Stojanović D, Branković N. Association Between Body Composition and Cardiorespiratory Fitness of Adolescents. Facta Univ Ser Phys Educ Sport. 2018;16(2):297.
Search in Google Scholar Back to article
Mooses M, Hackney AC. Anthropometrics and Body Composition in East African Runners: Potential Impact on Performance. Int J Sports Physiol Perform. 12(4):422–30.
Search in Google Scholar Back to article
Heyward VH, Wagner D. Applied Body Composition Assessment. 2nd ed. Champaign (IL): Human Kinetics; 2004. 280 p.
Search in Google Scholar Back to article
Forsyth HL, Sinning WE. The anthropometric estimation of body density and lean body weight of male athletes. Med Sci Sports. 1973;5(3):174–80.
Search in Google Scholar Back to article
White J, Mayhew JL, Piper FC. Prediction of body composition in college football players. J Sports Med Phys Fitness. 1980;20(3):317–24.
Search in Google Scholar Back to article
Reilly T, George K, Marfell-Jones M, Scott M, Sutton L, Wallace JA. How well do skinfold equations predict percent body fat in elite soccer players? Int J Sports Med. 2009;30(8):607–13.
Search in Google Scholar Back to article
Oliver JM, Lambert BS, Martin SE, Green JS, Crouse SF. Predicting football players' dual-energy x-ray absorptiometry body composition using standard anthropometric measures. J Athl Train. 2012;47(3):257–63.
Search in Google Scholar Back to article
Bell W. Football Players. 1995;29(1):46–51.
Search in Google Scholar Back to article
Civar S, Aktop A, Tercan E, Ozdol Y, Ozer K. Validity of leg-to-leg bioelectrical impedance measurement in highly active women. J Strength Cond Res. 2006;20(2):359–65.
Search in Google Scholar Back to article
Stewart AD, James Hannan W. Prediction of fat and fat-free mass in male athletes using dual x-ray absorptiometry as the reference method. J Sports Sci. 2000;18(4):263–74.
Search in Google Scholar Back to article
Evans EM, Rowe DA, Misic MM, Prior BM, Arngrímsson SÁ. Skinfold prediction equation for athletes developed using a four-component model. Med Sci Sports Exerc. 2005;37(11):2006–11.
Search in Google Scholar Back to article
Thorland W, Johnson G, Tharp G, Housh T, Cisar C. Estimation of body density in adolescent athletes. Hum Biol. 1984;56:439–45.
Search in Google Scholar Back to article
Ostojic SM. Estimation of body fat in athletes: Skinfolds vs bioelectrical impedance. J Sports Med Phys Fitness. 2006;46(3):442–6.
Search in Google Scholar Back to article
Utter AC, Scott JR, Oppliger RA, Visich PS, Goss FL, Marks BL, et al. A Comparison of Leg-to-Leg Bioelectrical Impedance and Skinfolds in Assessing Body Fat in Collegiate Wrestlers. J Strength Cond Res. 2001;15(2):157–60.
Search in Google Scholar Back to article
Stewart A, Marfell-Jones M, Olds T, de Ridder H. Preliminary considerations. In: Stewart A, Marfell-Jones M, Olds T, de Ridder H, editors. International Standards for Anthropometric Assessment. 3rd ed. Lower Hutt, New Zealand: International Society for the Advancement of Kinanthropometry; 2011. p. 12.
Search in Google Scholar Back to article
Norton K. Standards for anthropometry assessment. In: Norton, K., Eston, R. (Eds.), Kinanthropometry and Exercise Physiology. London: Routledge, Taylor & Francis Group; 2018. 131–2 p.
Search in Google Scholar Back to article
Gibson, Ann L, Wagner, Dale R, Heyward VH. Advanced Fitness Assessment and Exercise Prescription. 8th ed. Champaign, Ilinois: Human Kinetics; 2018. 262 p.
Search in Google Scholar Back to article
Yuhasz MS. Physical Fitness Manual. 1_a. London, Ontario: University of Western Canada; 1974.
Search in Google Scholar Back to article
Faulkner JA. Physiology of swimming and diving. In: Falls H Exercise physiology. Baltimore: Academic Press; 1968. p. 415–46.
Search in Google Scholar Back to article
Pires-Neto SC, Glaner MF. Ponto de vista “Equação de Faulkner” para predizer a gordura corporal: O fim de um mito The “Faulkner equation” for predicting body fat: The end of a myth. Rev Bras Cineantropometria e Desempenho Hum. 2007;9(1415–8426):207–13.
Search in Google Scholar Back to article
Withers R, Craig N, Bourdon P, Norton K. The relative body fat and anthropometric predicition of body density of male athletes. Eur J Appl Physiol Occup Physiol. 1987;56(2):191–200.
Search in Google Scholar Back to article
Siri WE. Body composition from fluid spaces and density: Analysis of methods. In: Brožek, J. Hanschels A, editor. Techniques for Measuring Body Composition. Washington, D.C.: National Academy of Science; 1961. p. 223.
Search in Google Scholar Back to article
IBM SPSS Statistics for Windows. Armonk, NY: IBM Corp; 2017.
Search in Google Scholar Back to article
Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–13.
Search in Google Scholar Back to article
Riyahi-Alam S, Mansournia MA, Kabirizadeh Y, Mansournia N, Steyerberg E, Kordi R. Development and Validation of a Skinfold Model for Estimation of Body Density for a Safe Weight Reduction in Young Iranian Wrestlers. Sports Health. 2017;9(6):564–9.
Search in Google Scholar Back to article
Eston RG, Fu F, Fung L. Validity of conventional anthropometric techniques for predicting body composition in healthy Chinese adults. Br J Sports Med. 1995;29(1):52–6.
Search in Google Scholar Back to article
Demura S, Yamaji S, Goshi F, Kobayashi H, Sato S, Nagasawa Y. The validity and reliability of relative body fat estimates and the construction of new prediction equations for young Japanese adult males. J Sports Sci. 2002;20(2):153–64.
Search in Google Scholar Back to article
Davidson LE, Wang J, Thornton JC, Kaleem Z, Silva-Palacios F, Pierson RN, et al. Predicting fat percent by skinfolds in racial groups: Durnin and womersley revisited. Med Sci Sports Exerc. 2011;43(3):542–9.
Search in Google Scholar Back to article
Hastuti J, Kagawa M, Byrne NM, Hills AP. Development and validation of anthropometric prediction equations for estimation of body fat in indonesian men. Asia Pac J Clin Nutr. 2013;22(4):522–9.
Search in Google Scholar Back to article
Liu X, Sun Q, Sun L, Zong G, Lu L, Liu G, et al. The development and validation of new equations for estimating body fat percentage among Chinese men and women. Br J Nutr. 2015;113(9):1365–72.
Search in Google Scholar Back to article
Jackson AS, Pollock ML. Generalized equations for predicting body density of men. 1978; British Jo (40):497–504.
Search in Google Scholar Back to article
Durnin J, Womersley J. 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. Br J Nutr. 1974;32(1):77–97.
Search in Google Scholar Back to article
Sloan AW. Estimation of body fat in young men. J Appl Physiol. 1967;23(3):311–5.
Search in Google Scholar Back to article
Lohman TG. Skinfolds and body density and their relation to body fatness: a review. Hum Biol. 1981;53(2):181–225.
Search in Google Scholar Back to article
Yuhasz MS. The effects of sports training on body fat in man with predictions of optimal body weight. [Doctoral Dissertation - Phylosophy in Physical Education in the Graduate College of the University of Illinois]. Urbana (IL): University of Illinois; 1962.
Search in Google Scholar Back to article

Correlation of Different Anthropometric Methods and Bioelectric Impedance in Assessing Body Fat Percentage of Professional Male Athletes

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