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Body composition in dancers: the bioelectrical impedance method
Abstract
PURPOSE: The aim of this study was to generate and validate a prediction equation for estimating the body composition in dancers using the bioelectrical impedance analysis (BIA) as a method of assessment. METHODS: The fat-free mass (FFM) of 42 young female professional dance students was estimated by four different methods: dual x-ray absorptiometry (DXA), BIA, simple anthropometry, and skinfold thickness; DXA was used as a criterion method. RESULTS: The dancers' FFM was 42.6 kg (SD: 3.3) and, on the average, body fat represented the 19.4% (SD: 4.3) of their body weight. Two dancer-specific BIA equations for the prediction of FFM (E(BIA)) were developed by multiple regression analysis using weight, height, resistance index, and triceps as predictor variables (E(BIA) and E(BIA-TRICEPS)). The validity of these equations as well as of those previously reported was assessed in two randomly selected subgroups of the initial study group, as described by the Bland-Altman analysis. The bias and the limits of agreement of the equations developed in the present study were lower than those resulting from the application of the previously used equations of Segal et al. and Hergenroeder et al. It was also found that, when validated against DXA, skinfolds measurements did not accurately predict body fatness in this group of young females. CONCLUSION: The new equations allow for an accurate routine assessment of body composition in young female dancers by using the method of BIA. Further studies are needed for the cross-validation of the equations in various groups of dancers.
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One study on athletes was conducted on Greek elite female dancers.
“One study was conducted on USA collegiate female athletes from different sports [62], one on Greek elite female dancers [51], and two studies on elite male soccer players in Taiwan [88] and Italy [31].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [51]
Considering foot-to-hand technology for athletes, eight equations are suitable for females only.
“Considering the foot to hand technology, 12 equations are suitable for male [31, 39, 48, 69, 84, 85, 87, 104] and eight for female people only [39, 51, 62, 69, 87, 104].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [51]
Regarding foot-to-hand technology for athletes, four equations are for estimating FFM in females only.
“Regarding foot to hand technology, we found an equation for estimating FM in males [48], five equations for estimating FFM in males [31, 69, 84, 85, 104], and four in females only [51, 62, 69, 104].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [51]
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Moon, J. R. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.165 · Cited by 237
Campa, F., Coratella, G., Cerullo, G., Noriega, Z., Francisco, R., Charrier, D., Irurtia, A., Lukaski, H., Silva, A. M., & Paoli, A. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05272-x · Cited by 93
“Out of the 19 available equations, 15 were developed with foot to hand technology [31, 39, 48, 51, 62, 69, 84, 85, 87, 104], while four equations were developed using segmental technology [88].”
BackgroundMethodInfluentialSardinha, L. B., Correia, I. R., Magalhães, J. P., Júdice, P. B., Silva, A. M., & Hetherington-Rauth, M. (2020) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-0666-8 · Cited by 38
Metadata
- Authors
- YANNAKOULIA, M., KERAMOPOULOS, A., TSAKALAKOS, N., & MATALAS, A.-L.
- Affiliations
- Harokopio University of Athens (GR)
- National and Kapodistrian University of Athens (GR)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2000-01
- Volume
- 32
- Issue
- 1
- Pages
- 228
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2013104188
- Cited by
- 67
- References
- 33
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 2 · 2016: 4 · 2015: 2 · 2014: 4 · 2013: 2 · 2012: 1
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Diversity and Impact of Dance
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- body composition, dancers, bioelectrical impedance analysis, fat-free mass, prediction equations, validation, dual-energy X-ray absorptiometry, skinfold thickness, anthropometry, fat mass
- MeSH terms
- Adipose Tissue, Adolescent, Adult, Algorithms, Anthropometry, Body Composition, Body Height, Body Weight, Dancing, Female, Forecasting, Humans, Regression Analysis, Skinfold Thickness, Reproducibility of Results, Absorptiometry, Photon, Bias, Electric Impedance, Muscle, Skeletal
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