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 and Faculty Mentors or 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
Recommended Citation
Coker, Nicholas A., "Utilization of B-Mode Ultrasound as a Body Fat Estimate in Collegiate Football Players" (2015). GS4 Georgia Southern Student Scholars Symposium. 61.
https://digitalcommons.georgiasouthern.edu/research_symposium/2015/2015/61
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.
