Skinfold prediction equation for collegiate athletes developed using a four-component model

E. Evans, D.A. Rowe, M. Misic, B. Prior, S. Arngrimsson

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Introduction: Skinfold (SKF) equations exist to predict percent body fat (%BF) in athletes; however, none have been derived from multicomponent model reference measures. Purpose: To develop and cross-validate a %BF prediction equation based on SKF in athletes using a fourcomponent model as the reference measure. Methods: Subjects were 132 collegiate athletes (20.7 2.0 yr; 78 males: 28 black, 50 white; 54 females: 10 black, 44 white). Four-component model estimates of %BF (%BF4C) included measures of total body water from deuterium dilution, bone mineral by dual- energy x-ray absorptiometry (DXA), and body density by densitometry using underwater weighing. SKF measures included subscapular, triceps, chest, midaxillary, suprailiac, abdominal, and thigh sites (7SKF). A prediction equation was developed on 102 athletes using 7SKF, race, and gender as predictor variables. Cross-validation was performed on a representative holdout sample of 30 athletes. Results: The equation cross-validated well (slope and intercept both not different (P 0.05) from the line of identity (LOI); rYY= 0.85, total error (TE) 3.76%BF) and was better than the existing athlete SKF equations (intercept and slope both different from LOI (P 0.01); rYY= 0.76, TE 4.51%BF). Notably, a prediction equation developed using 3SKF sites (abdomen, thigh, and triceps) produced a similar accuracy (intercept and slope both not different from LOI (P 0.05); rYY= 0.85, TE 3.66%BF). Conclusions: The new 7SKF equation improved on SKF equations developed using densitometry. The final
equation based on the whole sample was %BF= 10.566 0.12077*(7SKF) – 8.057*(gender) – 2.545*(race). Moreover, a 3SKF equation was comparable in accuracy to the 7SKF equation: %BF= 8.997 0.24658*(3SKF) – 6.343*(gender) – 1.998*(race).
LanguageEnglish
Pages2006-2011
Number of pages6
JournalMedicine and Science in Sports and Exercise
Volume37
Issue number11
DOIs
Publication statusPublished - 2005

Fingerprint

Athletes
Densitometry
Thigh
Body Water
Deuterium
Abdomen
Minerals
Adipose Tissue
Thorax
X-Rays
Bone and Bones
hydroquinone

Keywords

  • body composition
  • field method
  • multicomponent method
  • race
  • gender

Cite this

Evans, E. ; Rowe, D.A. ; Misic, M. ; Prior, B. ; Arngrimsson, S. / Skinfold prediction equation for collegiate athletes developed using a four-component model. In: Medicine and Science in Sports and Exercise. 2005 ; Vol. 37, No. 11. pp. 2006-2011.
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title = "Skinfold prediction equation for collegiate athletes developed using a four-component model",
abstract = "Introduction: Skinfold (SKF) equations exist to predict percent body fat ({\%}BF) in athletes; however, none have been derived from multicomponent model reference measures. Purpose: To develop and cross-validate a {\%}BF prediction equation based on SKF in athletes using a fourcomponent model as the reference measure. Methods: Subjects were 132 collegiate athletes (20.7 2.0 yr; 78 males: 28 black, 50 white; 54 females: 10 black, 44 white). Four-component model estimates of {\%}BF ({\%}BF4C) included measures of total body water from deuterium dilution, bone mineral by dual- energy x-ray absorptiometry (DXA), and body density by densitometry using underwater weighing. SKF measures included subscapular, triceps, chest, midaxillary, suprailiac, abdominal, and thigh sites (7SKF). A prediction equation was developed on 102 athletes using 7SKF, race, and gender as predictor variables. Cross-validation was performed on a representative holdout sample of 30 athletes. Results: The equation cross-validated well (slope and intercept both not different (P 0.05) from the line of identity (LOI); rYY= 0.85, total error (TE) 3.76{\%}BF) and was better than the existing athlete SKF equations (intercept and slope both different from LOI (P 0.01); rYY= 0.76, TE 4.51{\%}BF). Notably, a prediction equation developed using 3SKF sites (abdomen, thigh, and triceps) produced a similar accuracy (intercept and slope both not different from LOI (P 0.05); rYY= 0.85, TE 3.66{\%}BF). Conclusions: The new 7SKF equation improved on SKF equations developed using densitometry. The final equation based on the whole sample was {\%}BF= 10.566 0.12077*(7SKF) – 8.057*(gender) – 2.545*(race). Moreover, a 3SKF equation was comparable in accuracy to the 7SKF equation: {\%}BF= 8.997 0.24658*(3SKF) – 6.343*(gender) – 1.998*(race).",
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Skinfold prediction equation for collegiate athletes developed using a four-component model. / Evans, E.; Rowe, D.A.; Misic, M.; Prior, B.; Arngrimsson, S.

In: Medicine and Science in Sports and Exercise, Vol. 37, No. 11, 2005, p. 2006-2011.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Skinfold prediction equation for collegiate athletes developed using a four-component model

AU - Evans, E.

AU - Rowe, D.A.

AU - Misic, M.

AU - Prior, B.

AU - Arngrimsson, S.

PY - 2005

Y1 - 2005

N2 - Introduction: Skinfold (SKF) equations exist to predict percent body fat (%BF) in athletes; however, none have been derived from multicomponent model reference measures. Purpose: To develop and cross-validate a %BF prediction equation based on SKF in athletes using a fourcomponent model as the reference measure. Methods: Subjects were 132 collegiate athletes (20.7 2.0 yr; 78 males: 28 black, 50 white; 54 females: 10 black, 44 white). Four-component model estimates of %BF (%BF4C) included measures of total body water from deuterium dilution, bone mineral by dual- energy x-ray absorptiometry (DXA), and body density by densitometry using underwater weighing. SKF measures included subscapular, triceps, chest, midaxillary, suprailiac, abdominal, and thigh sites (7SKF). A prediction equation was developed on 102 athletes using 7SKF, race, and gender as predictor variables. Cross-validation was performed on a representative holdout sample of 30 athletes. Results: The equation cross-validated well (slope and intercept both not different (P 0.05) from the line of identity (LOI); rYY= 0.85, total error (TE) 3.76%BF) and was better than the existing athlete SKF equations (intercept and slope both different from LOI (P 0.01); rYY= 0.76, TE 4.51%BF). Notably, a prediction equation developed using 3SKF sites (abdomen, thigh, and triceps) produced a similar accuracy (intercept and slope both not different from LOI (P 0.05); rYY= 0.85, TE 3.66%BF). Conclusions: The new 7SKF equation improved on SKF equations developed using densitometry. The final equation based on the whole sample was %BF= 10.566 0.12077*(7SKF) – 8.057*(gender) – 2.545*(race). Moreover, a 3SKF equation was comparable in accuracy to the 7SKF equation: %BF= 8.997 0.24658*(3SKF) – 6.343*(gender) – 1.998*(race).

AB - Introduction: Skinfold (SKF) equations exist to predict percent body fat (%BF) in athletes; however, none have been derived from multicomponent model reference measures. Purpose: To develop and cross-validate a %BF prediction equation based on SKF in athletes using a fourcomponent model as the reference measure. Methods: Subjects were 132 collegiate athletes (20.7 2.0 yr; 78 males: 28 black, 50 white; 54 females: 10 black, 44 white). Four-component model estimates of %BF (%BF4C) included measures of total body water from deuterium dilution, bone mineral by dual- energy x-ray absorptiometry (DXA), and body density by densitometry using underwater weighing. SKF measures included subscapular, triceps, chest, midaxillary, suprailiac, abdominal, and thigh sites (7SKF). A prediction equation was developed on 102 athletes using 7SKF, race, and gender as predictor variables. Cross-validation was performed on a representative holdout sample of 30 athletes. Results: The equation cross-validated well (slope and intercept both not different (P 0.05) from the line of identity (LOI); rYY= 0.85, total error (TE) 3.76%BF) and was better than the existing athlete SKF equations (intercept and slope both different from LOI (P 0.01); rYY= 0.76, TE 4.51%BF). Notably, a prediction equation developed using 3SKF sites (abdomen, thigh, and triceps) produced a similar accuracy (intercept and slope both not different from LOI (P 0.05); rYY= 0.85, TE 3.66%BF). Conclusions: The new 7SKF equation improved on SKF equations developed using densitometry. The final equation based on the whole sample was %BF= 10.566 0.12077*(7SKF) – 8.057*(gender) – 2.545*(race). Moreover, a 3SKF equation was comparable in accuracy to the 7SKF equation: %BF= 8.997 0.24658*(3SKF) – 6.343*(gender) – 1.998*(race).

KW - body composition

KW - field method

KW - multicomponent method

KW - race

KW - gender

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DO - 10.1249/01.mss.0000176682.54071.5c

M3 - Article

VL - 37

SP - 2006

EP - 2011

JO - Medicine and Science in Sports and Exercise

T2 - Medicine and Science in Sports and Exercise

JF - Medicine and Science in Sports and Exercise

SN - 0195-9131

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ER -