Estimation of body fat in female collegiate dancers via BMI-based equations and air displacement plethysmography

Authors

  • Jason Casey
  • Greg A. Ryan College of Nursing & Health Sciences, Piedmont University, Demorest, GA, USA
  • Supriya G. Reddy Department of Kinesiology, University of North Georgia, Dahlonega, GA, USA
  • Robert L. Herron Department of Sports Exercise Science, United States Sports Academy, Daphne, AL, USA

DOI:

https://doi.org/10.12922/jshp.v9i3.178

Keywords:

air-displacement, Body Mass Index, percent fat, dancers

Abstract

This study was conducted to evaluate the efficacy of three body mass index (BMI) based equations (BEQ) used to estimate body-fat percentage (BF%) in female-collegiate dancers in relation to air-displacement plethysmography (AP). Methods: Data from 28 collegiate dancers were assessed for this study. Body mass and height were measured to calculate BMI. Three BEQ to estimate BF% [Jackson et al. (JBMI), Deurenberg et al. (DBMI), and Womersley & Durnin (WBMI)] were compared to BF% estimated via AP. Results: The following estimates of BF% were produced: AP = 24.6 ± 4.7%; JBMI = 21.9 ± 4.0%; DBMI = 23.8 ± 2.2%; and WBMI = 24.7 ± 2.5%. There were no differences (p > 0.05) for the BF% estimations between AP, DBMI, or WBMI. However, BF% estimated via JBMI was lower than AP (p = 0.04), DBMI (p < 0.001), and WBMI (p < 0.001). Only moderate correlations were found between AP and BEQ (JBMI, r = 0.43; DBMI, r = 0.44; WBMI, r = 0.43). The limits of agreement (constant error ± 1.96 SD) for each BEQ compared to AP were: JBMI = -2.6 ­­± 9.1%; DBMI = -0.8 ­­± 8.1%; and WBMI = 0.2 ± 8.2%. Conclusions: Two BEQ produced similar group means to AP. However, all BEQ had a wide range of individual differences when compared to AP. An accurate, inexpensive, and practically feasible method of assessing body composition is valuable for sport practitioners. The results of this study demonstrate that DBMI and WBMI may be acceptable in a field setting for estimating BF% for a large group of female collegiate dancers. However, due to the large range of differences, none of the BMI-based equations should be utilized to predict BF% for individuals. It is suggested that other field methods of predicting BF% be used in female collegiate dancers due to individual error of BEQs and potential harm in providing misinformation.

Key Words: air-displacement, body mass index, percent fat, dancers

References

Liguori G, Feito Y, Fountaine C, Roy B, editors. ACSM's guidelines for exercise testing and prescription. Philadelphia: Wolters Kluwer; 2021.

Silva MRG, Paiva T. Poor precompetitive sleep habits, nutrients’ deficiencies, inappropriate body composition and athletic performance in elite gymnasts. European Journal of Sport Science. 2016;16(6):726-35. PubMed PMID: 116396498.

Segal KR. Use of bioelectrical impedance analysis measurements as an evaluation for participating in sports. The American Journal of Clinical Nutrition. 1996;64(3 Suppl):469S-71S. doi: 10.1093/ajcn/64.3.469S. PubMed PMID: 8780365.

Padwal R, Majumdar SR, Leslie WD. Relationship among body fat percentage, body mass index, and all-cause mortality. Annals of Internal Medicine. 2016;164(8):532-41. doi: 10.7326/L16-0334. PubMed PMID: 27750323.

Brown AF, Alfiero CJ, Brooks SJ, Kviatkovsky SA, Smith-Ryan AE, Ormsbee MJ. Prevalence of normal weight obesity and health risk factors for the female collegiate dancer. Journal of Strength and Conditioning Research. 2021;35(8):2321-6. doi: 10.1519/jsc.0000000000004064. PubMed PMID: 00124278-202108000-00035.

Donaldson ML. The female athlete triad. A growing health concern. Orthopaedic Nursing. 2003;22(5):322-4.

Sundgot-Borgen J, Garthe I. Elite athletes in aesthetic and Olympic weight-class sports and the challenge of body weight and body compositions. Journal of Sports Sciences. 2011;29(S1):S101-14. doi: 10.1080/02640414.2011.565783. PubMed PMID: 21500080.

Statuta SM, Asif IM, Drezner JA. Relative energy deficiency in sport (RED-S). British Journal of Sports Medicine. 2017;51(21):1570. doi: 10.1136/bjsports-2017-097700.

Wilmerding MV, McKinnon MM, Mermier C. Body composition in dancers: A review. Journal of Dance Medicine & Science. 2005;9(1):18-23.

Pavlidou M, Doganis G. Eating disorders in female athletes: A literature review. Studies in Physical Culture & Tourism. 2007;14(2):125-30. PubMed PMID: 29964146.

Killion L, Culpepper D. Comparison of body image perceptions for female competitive dancers, fitness cohort, and non-dancers in a college population. The Sport Journal. 2014.

Friesen KJ, Rozenek R, Clippinger K, Gunter K, Russo AC, Sklar SE. Bone mineral density and body composition of collegiate modern dancers. Journal of Dance Medicine & Science. 2011;15(1):31-6.

Fleck SJ. Body composition of elite American athletes. The American Journal of Sports Medicine. 1983;11(6):398-403. doi: 10.1177/036354658301100604.

Moon JR, Tobkin SE, Smith AE, Lockwood CM, Walter AA, Cramer JT, et al. Anthropometric estimations of percent body fat in NCAA Division I female athletes: a 4-compartment model validation. Journal of Strength and Conditioning Research. 2009;23(4):1068-76. Epub 2009/06/17. doi: 10.1519/JSC.0b013e3181aa1cd0. PubMed PMID: 19528870.

Esco MR, Olson MS, Williford HN, Lizana SN, Russell AR. The accuracy of hand-to-hand bioelectrical impedance analysis in predicting body composition in college-age female athletes. Journal of Strength and Conditioning Research. 2011;25(4):1040-5.

Saunders MJ, Blevins JE, Broeder CE. Effects of hydration changes on bioelectrical impedance in endurance trained individuals. Medicine and Science in Sports and Exercise. 1998;30(6):885-92. Epub 1998/06/13. PubMed PMID: 9624647.

Jackson AS, Pollock ML. Practical assessment of body composition. Physician & Sportsmedicine. 1985;13(5):76-80;2-90. PubMed PMID: SPH166939.

Bird E, Mayhew JL, Schwegler T, Crossgrove L, Etemady A, Peterson N. Inter-investigator reliability in skinfold measurements. Missouri Journal of Health, Physical Education, Recreation & Dance. 2009;19:125-30. PubMed PMID: 47480513.

Sun Q, van Dam RM, Spiegelman D, Heymsfield SB, Willett WC, Hu FB. Comparison of dual-energy x-ray absorptiometric and anthropometric measures of adiposity in relation to adiposity-related biologic factors. American Journal of Epidemiology. 2010;172(12):1442-54.

Jitnarin N, Poston WSC, Haddock CK, Jahnke SA, Day RS. Accuracy of body mass index-defined obesity status in US firefighters. Safety and Health at Work. 2014;5(3):161-4. Epub 2014/06/18. doi: 10.1016/j.shaw.2014.06.003. PubMed PMID: 25379332.

Nevill AM, Stewart AD, Olds T, Holder R. Relationship between adiposity and body size reveals limitations of BMI. American Journal of Physical Anthropology. 2006;129(1):151-6. PubMed PMID: edsgcl.140657654.

Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. The British Journal of Nutrition. 1991;65(2):105-14.

Jackson AS, Stanforth PR, Gagnon J, Rankinen T, Leon AS, Rao DC, et al. The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. International Journal Of Obesity And Related Metabolic Disorders. 2002;26(6):789-96.

Womersley J. A comparison of the skinfold method with extent of 'overweight' and various weight-height relationships in the assessment of obesity. The British Journal of Nutrition. 1977;38(2):271-84.

Nickerson BS, Esco MR, Bishop PA, Fedewa MV, Snarr RL, Kliszczewicz BM, et al. Validity of BMI-based body fat equations in men and women: A 4-compartment model comparison. Journal of Strength and Conditioning Research. 2018;32(1):121-9.

Nickerson BS, McLester CN, McLester JR, Kliszczewicz BM. Relative accuracy of anthropometric-based body fat equations in males and females with varying BMI classifications. Clinical Nutrition ESPEN. 2020;35:136-40. doi: 10.1016/j.clnesp.2019.10.014. PubMed PMID: S2405457719304875.

Esco MR, Williford HN, Russell AR. Cross-validation of BMI-based Equations for predicting percent body fat in female collegiate athletes. Journal of Exercise Physiology Online. 2011;14(3):43-52.

Casey JC, Herron RL, Esco MR. Comparison of BMI-based equations and plethysmography for estimating body fat in female collegiate gymnasts. The Sport Journal. 2019.

Fields JB, Metoyer CJ, Casey JC, Esco MR, Jagim AR, Jones MT. Comparison of body composition variables across a large sample of National Collegiate Athletic Association women athletes from 6 competitive sports. Journal of Strength and Conditioning Research. 2018;32(9):2452-7. Epub 2017/12/01. doi: 10.1519/jsc.0000000000002234. PubMed PMID: 29189580.

Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Measurement. 1986;327(8476):307-10. doi: 10.1016/S0140-6736(86)90837-8. PubMed PMID: 2868172.

Schober P, Boer C, Schwarte LA. Correlation coefficients: Appropriate use and interpretation. Anesthesia & Analgesia. 2018;126(5):1763-8.

Downloads

Published

2021-11-23

Issue

Section

Original Research Articles

How to Cite

Estimation of body fat in female collegiate dancers via BMI-based equations and air displacement plethysmography. (2021). Journal of Sport and Human Performance, 9(3), 1-10. https://doi.org/10.12922/jshp.v9i3.178