Presentation Title

Utilization of B-Mode Ultrasound as a Body Fat Estimate in Collegiate Football Players

Location

Atrium

Session Format

Poster Presentation

Research Area Topic:

Exercise Science & Human Performance - Exercise Science

Co-Presenters, Co- Authors, Co-Researchers, Mentors, or Faculty Advisors

Parker Hyde

Kristina Kendall

Ciaran Fairman

Mary-Beth Yarbrough

Steve Rossi

Abstract

Accurate field testing methods of assessing body composition may be a suitable alternative to laboratory testing methods in team sport athletes due to the ability to measure many participants in a small amount of time. B-mode ultrasound sends an acoustic wave from a transducer head into a medium and reflects the wave back into the transducer. The purpose of this study was to validate a 7-site ultrasound imaging protocol to predict percent body fat (%BF) in a collegiate male football players(n=58). Body composition was estimated via brightness mode (B-mode) ultrasound, seven siteskinfolds (SF), and the three compartment-water (3C-W) model of Siri (1961),

using Bioimpedance spectroscopy (BIS) to estimate total body water (TBW)

and Air displacement plethysmography (BODPOD®) to determine body

density (Db). Pearson’s product moment correlation analyses were run to

determine the relationship between ΣUltrasound and the criterion 3C-W, and

between the Σskinfold and ΣUltrasound. Strong positive correlations were

observed between Σskinfold and ΣUltrasound (r=.984; p

random and linear regression analysis was used to predict %BF using ΣUltrasound.

From this linear regression, a prediction equation was generated. Cross-validation

analysis of the new equation was conducted on a random sample of 29 football players

who were initially withheld from the derivation of the equation. Strong positive correlation was

observed between ΣUltrasound and %BF from 3C-W (r=0.878, p

correlation analysis, a linear regression equation was developed to predict %BF from ΣUltrasound,

(%BF= 6.194+(.096* ΣUltrasound); standard error of the estimate [SEE]=2.97%).

Cross validation analyses were performed using an independent sample of 29

players. Mean observed %BF and mean predicted %BF were 18.32 ± 6.26% and

18.78 ± 6.22%, respectively. The constant error (CE), SEE and validity

coefficient (r) were 0.004%, 2.64%, and 0.91, respectively. The total error

(TEE) was 2.87%. Conclusion: The positive relationship between ultrasound

measurements and the 3C-W model suggests the B-mode ultrasound may be

a practical alternative of predicting %BF in Division I football players.

Keywords

3 compartment model, Validation, Athlete, Skinfold, Ultrasound, Body composition

Presentation Type and Release Option

Presentation (Open Access)

Start Date

4-24-2015 10:45 AM

End Date

4-24-2015 12:00 PM

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Apr 24th, 10:45 AM Apr 24th, 12:00 PM

Utilization of B-Mode Ultrasound as a Body Fat Estimate in Collegiate Football Players

Atrium

Accurate field testing methods of assessing body composition may be a suitable alternative to laboratory testing methods in team sport athletes due to the ability to measure many participants in a small amount of time. B-mode ultrasound sends an acoustic wave from a transducer head into a medium and reflects the wave back into the transducer. The purpose of this study was to validate a 7-site ultrasound imaging protocol to predict percent body fat (%BF) in a collegiate male football players(n=58). Body composition was estimated via brightness mode (B-mode) ultrasound, seven siteskinfolds (SF), and the three compartment-water (3C-W) model of Siri (1961),

using Bioimpedance spectroscopy (BIS) to estimate total body water (TBW)

and Air displacement plethysmography (BODPOD®) to determine body

density (Db). Pearson’s product moment correlation analyses were run to

determine the relationship between ΣUltrasound and the criterion 3C-W, and

between the Σskinfold and ΣUltrasound. Strong positive correlations were

observed between Σskinfold and ΣUltrasound (r=.984; p

random and linear regression analysis was used to predict %BF using ΣUltrasound.

From this linear regression, a prediction equation was generated. Cross-validation

analysis of the new equation was conducted on a random sample of 29 football players

who were initially withheld from the derivation of the equation. Strong positive correlation was

observed between ΣUltrasound and %BF from 3C-W (r=0.878, p

correlation analysis, a linear regression equation was developed to predict %BF from ΣUltrasound,

(%BF= 6.194+(.096* ΣUltrasound); standard error of the estimate [SEE]=2.97%).

Cross validation analyses were performed using an independent sample of 29

players. Mean observed %BF and mean predicted %BF were 18.32 ± 6.26% and

18.78 ± 6.22%, respectively. The constant error (CE), SEE and validity

coefficient (r) were 0.004%, 2.64%, and 0.91, respectively. The total error

(TEE) was 2.87%. Conclusion: The positive relationship between ultrasound

measurements and the 3C-W model suggests the B-mode ultrasound may be

a practical alternative of predicting %BF in Division I football players.