Evaluation of the BOD POD for Estimating Percent Fat in Female College Athletes
Abstract
The purpose of this investigation was to examine the accuracy of percent body fat (%BF) estimates obtained by air displacement plethysmography (ADP) using the BOD POD Body Composition System compared with hydrostatic weighing (HW) in a group of female college athletes (n = 80). In addition, %BF estimates by skinfold measures (SF) were also obtained for comparison. A lean subset (n = 39) of the sample was also examined. Mean %BF estimated for the entire sample by ADP (21.2 +/- 5.9%) was significantly greater than that determined by HW (19.4 +/- 6.4%) and SF (18.8 +/- 5.5%). Results from the lean subset also revealed that %BF determined by ADP (17.1 +/- 3.7%) was significantly higher than %BF estimates by HW (14.3 +/- 2.8%) and SF (15.2 +/- 3.2%). The regression equation for the entire sample (%BF HW = 0.937%BF ADP - 0.452, r(2) = 0.73, standard error of estimates (SEE) = 3.34) did not differ from the line of identity. In contrast, the line of identity differed significantly from the regression equation for the lean subset of female athletes (%BF HW = 0.48%BF ADP + 6.115, r(2) = 0.41, SEE = 2.18). The results of this investigation indicate that ADP significantly overestimated %BF by 8% in female athletes and by 16% for a leaner subset of the sample compared with HW. It appears that %BF estimates by SF may be more accurate than those obtained by ADP for female college athletes, regardless of body composition. Coaches and trainers evaluating body composition should consider the use of SF before ADP when measuring %BF in female college athletes. Sports scientists should continue to examine the possible gender and body composition bias for ADP.
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The accuracy of the BOD POD has been deemed high, but it has been shown to overestimate %Fat in lean individuals in some studies when compared to hydrostatic weighing.
“The accuracy of the BOD POD has been deemed high, but it has been shown to overestimate %Fat in lean individuals in some studies when compared to HW [65,66,67].”
From The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology (2021) · cites this paper as [65]
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Ackland, T. R., Lohman, T. G., Sundgot-Borgen, J., Maughan, R. J., Meyer, N. L., Stewart, A. D., & Müller, W. (2012) · Sports Medicine · doi:10.2165/11597140-000000000-00000 · Cited by 599 · see citing works
Holmes, C. J., & Racette, S. B. (2021) · Nutrients · doi:10.3390/nu13082493 · Cited by 402 · see citing works
- Authors
- VESCOVI, J. D., HILDEBRANDT, L., MILLER, W., HAMMER, R., & SPILLER, A.
- Affiliations
- George Washington University (US)
- Central Michigan University (US)
- ORCID
- VESCOVI, JASON D.
- Venue
- Journal of Strength and Conditioning Research
- Published
- 2002-11
- Volume
- 16
- Issue
- 4
- Pages
- 599-605
- ISSN
- 1064-8011 (ISSN-L)
- OpenAlex
- W1996306223
- Cited by
- 47
- References
- 0
- Citations by year
- 2025: 2 · 2024: 1 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 3 · 2012: 4
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Strength and Conditioning Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Training Studies
- Keywords
- body fat percentage, air displacement plethysmography, BOD POD, hydrostatic weighing, skinfold thickness, body composition assessment, measurement accuracy, female collegiate athletes, lean body mass
- MeSH terms
- Adult, Analysis of Variance, Anthropometry, Body Composition, Body Weight, Female, Humans, Obesity, Plethysmography, Probability, Respiratory Function Tests, Sampling Studies, Sensitivity and Specificity, Skinfold Thickness, Sports, Body Mass Index
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