Have a personal or library account? Click to login
Correlation of Different Anthropometric Methods and Bioelectric Impedance in Assessing Body Fat Percentage of Professional Male Athletes Cover

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

Open Access
|May 2021

Figures & Tables

Selected anthropometric methods and equations developed for assessing body fat in different male athlete populations_

Author(s)/methodAnthropometric equation
Yuhasz (25)Equation using 6 skinfolds. %BF = 3.64 + (0.097 (Ch + Tr + Sb + Si + Ab + Th))
Faulkner (26)Equation using 4 skinfolds, today considered a modified Yuhasz method (27). %BF = 5.783 + (0.153 (Tr + Sb + Si + Ab))
Forsyth & Sinning 1 (11)Equation using 2 skinfolds (equation no. 2a). BD = 1.103 − (0.00168 x Sb) − (0.00127 x Ab)
Forsyth & Sinning 2 (11)Equation using 4 skinfolds (equation no. 2b). BD = 1.10647 − (0.00162 x Sb) − (0.00144 x Ab) − (0.00077 x Tr) + (0.00071 x Ma)
Forsyth & Sinning 3 (11)Equation using 2 skinfolds and height (equation no. 3a). BD = 1.02415 − (0.00169 x Sb) + (0.00444 x Ht) − (0.00130 x Ab)
Forsyth & Sinning 4 (11)Equation using 4 skinfolds and height (equation no. 3b). BD = 1.03316 − (0.00164 x Sb) + (0.00410 x Ht) − (0.00144 x Ab) − (0.00069 x Tr) + (0.00062 x Ma)
White et al. (12)Equation using 2 skinfolds. BD = 1.0958 − (0.00088 x Si) − (0.0006 x Th)
Thorland et al. 1 (19)Equation using 7 skinfolds. BD = 1.1091 − (0.00052 (Tr + Sb + Ma + Si + Ab + Th + Ca)) + (0.00000032 (Tr + Sb + Ma + Si + Ab + Th + Ca)2)
Thorland et al. 2 (19)Equation using 3 skinfolds. BD = 1.1136 − (0.00154 (Tr + Sb + Ma)) + (0.00000516 (Tr + Sb + Ma)2)
Withers et al. (28)Equation using 7 skinfolds, not fully published in the original 1987 paper by Withers et al. (28), but can be found in Reilly et al. study (13) derived from Withers et al. data. BD = 1.0988 − (0.0004 (Tr + Sb + Bc + Sp + Ab + Th + Ca))
Evans et al. 1 (18)Equation using 7 skinfolds, gender and race. %BF = 10.566 + (0.12077 (Sb + Tr + Ch + Ma + Si + Ab + Th)) − (8.057 x gender) − (2.545 x race)
Evans et al. 2 (18)Equation using 3 skinfolds, gender and race. %BF = 8.997 + (0.24658 (Ab + Th + Tr)) − (6.343 x gender) − (1.998 x race)
Oliver et al. (14)Equation using 7 skinfolds (equation model number 3). %BF = 3.53 + (0.132 (Ch + Tr + Sb + Ma + Si + Ab + Th))
Reilly et al. (13)Equation using 4 skinfolds. %BF = 5.174 + (0.124 x Th) + (0.147 x Ab) + (0.196 x Tr) + (0.13 x Ca)
Civar et al. (16)Equation using 3 skinfolds and weight. BF% = (0.432 x Tr) + (0.193 x Ab) + (0.364 x Bc) + (0.077 x Wt) − 0.891
Stewart & Hannan (17)Equation using 2 skinfolds and weight. This equation estimates body fat in grams, which are then converted into body fat percentage for BIA comparison. BFM = (331.5 x Ab) + (356.2 x Th) + (111.9 x Wt) − 9108

Correlation of different anthropometric methods and BIA method in assessing body fat percentage of professional male athletes_

MethodNrsBCa CI 95% lower - upper
Yuhasz (25)vs BIA850.769 ***0.649 – 0.840
Faulkner (26)vs BIA850.792***0.712 – 0.849
Forsyth & Sinning 1 (11)vs BIA850.743 ***0.619 – 0.823
Forsyth & Sinning 2 (11)vs BIA850.738 ***0.627 – 0.019
Forsyth & Sinning 3 (11)vs BIA850.676 ***0.536 – 0.775
Forsyth & Sinning 4 (11)vs BIA850.685 ***0.545 – 0.786
White et al. (12)vs BIA850.761 ***0.665 – 0.837
Thorland et al. 1 (19)vs BIA850.760 ***0.650 – 0.848
Thorland et al. 2 (19)vs BIA850.736 ***0.613 – 0.830
Whiters et al. (13)vs BIA850.674 ***0.502 – 0.796
Evans et al. 1 (18)vs BIA850.761 ***0.642 – 0.845
Evans et al. 2 (18)vs BIA850.674 ***0.518 – 0.791
Oliver et al. (14)vs BIA850.761 ***0.614 – 0.843
Reilly et al. (13)vs BIA850.681 ***0.535 – 0.793
Civar et al. (16)vs BIA850.740 ***0.625 – 0.819
Stewart & Hannan (17)vs BIA850.681 ***0.543 – 0.787

Athlete characteristics

SportBasketball (n=14)Football (n=28)Boxing (n=15)Wrestling (n=28)Total (n=85)
VariablesX ± SD rangeX ± SD rangeX ± SD rangeX ± SD rangeX ± SD range
Age (years)25.4 ± 4.223.9 ± 4.223.687 ± 4.221.4 ± 6.423.7 ± 4.3
17.2 – 3117.5 – 3317.4 – 32.217.5 – 32.917.2 – 33

Height (cm)198.3 ± 10.8181.9 ± 5.1186.4 ± 7.2176.7 ± 7.7183.7 ± 10.4
171.2 – 211169.0 – 190.5175 – 198155.0 – 191.5155 – 211

Weight (kg)96.1 ± 19.277.2 ± 5.687.7 ± 17.580.6 ± 11.783.3 ± 14.4
43.7 – 120.667.3 – 86.559.8 – 123.459.5 – 105.243.7 – 123.4

BMI (kg/m2)24.1 ± 323.3 ± 1.125.1 ± 3.425.7 ± 2.524.6 ± 2.6
14.9 – 27.321.2 – 25.319.3 – 32.322.4 – 31.214.9 – 32.3

FFMI (kg/m2)21.7 ± 2.521.2 ± 0.921.9 ± 2.222.4 ± 1.721.8 ± 1.8
14 – 25.419.7 – 22.917.6 – 26.420.1 – 26.114 – 26.4

BIA-BF (%)10 ± 3.28.8 ± 2.112.2 ± 3.612.6 ± 2.810.8 ± 3.3
5.5 – 15.4169.0 – 190.57 – 19.27.4 – 18.44.9 – 19.2
DOI: https://doi.org/10.2478/sjecr-2021-0026 | Journal eISSN: 2956-2090 | Journal ISSN: 2956-0454
Language: English
Page range: 127 - 136
Submitted on: Mar 25, 2021
Accepted on: Apr 17, 2021
Published on: May 29, 2021
Published by: University of Kragujevac, Faculty of Medical Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Marko Dimitrijevic, Dijana Lalovic, Djordje Milovanov, published by University of Kragujevac, Faculty of Medical Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.