Purpose Researchers have predicted body fat percentage (BF%), as indicated by dual energy X-ray absorptiometry (DXA), from skinfold thicknesses in North American and European athletes, but not athletes from other regions. We sought to estimate an equation to predict BF% in elite Asian athletes from their skinfold thickness and girth measurements, with DXA as a reference method.
Methods We collected data from two samples of athletes on Singaporean national teams. With the first sample (n=95), we developed an equation to predict BF%, and then tested the equation in the second sample (n=21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.
Results Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% (P<0.05).
Conclusion Our equation for predicting BF% from anthropometric measurements is the first one based on Asian athletes. This equation could help practitioners estimate BF% of Asian athletes if DXA is unavailable.
| [1] |
Ackland TR, Lohman TG, Sundgot-Borgen J, Maughan RJ, Meyer NL, Stewart AD, Müller W. Current status of body composition assessment in sport. Sports Med. 2012, 42(3): 227-249
|
| [2] |
Austin PC, Steyerberg EW. The number of subjects per variable required in linear regression analysis. J Clin Epidemiol. 2015, 68(6): 627-636
|
| [3] |
Blake GM, Fogelman I. Technical principles of dual energy X-ray absorptiometry. Semin Nucl Med. 1997, 27(3): 210-228
|
| [4] |
Brodie D, Moscrip V, Hutcheon R. Body Composition Measurement: A Review of Hydrodensitometry. Anthropomet Imped Method Nut. 1998, 14(3): 296-310
|
| [5] |
Cullen S, Fleming J, Logue DM, O'Connor J, Connor B, Cleary J, Watson JA, Madigan SM. Anthropometric profiles of elite athletes. J Human Sport Exer.. 2022, 17(1): 145-155
|
| [6] |
Davidson LE, Wang J, Thornton JC, Kaleem Z, Silva-Palacios F, Pierson RN, Heymsfield SB, Gallagher D. Predicting fat percent by skinfolds in racial groups: Durnin and Womersley revisited. Med Sci Sports Exerc. 2011, 43(3): 542-549
|
| [7] |
Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr. 1974, 32(1): 77-97
|
| [8] |
Garrido-Chamorro R, Sirvent-Belando JE, Gonzalez-Lorenzo M, Blasco-Lafarga C, Roche E. Skinfold sum: reference values for top athletes. Int J Morphol. 2012, 30(3): 803-809
|
| [9] |
Henry CJ, Ponnalagu S, Bi X, Tan SY. New equations to predict body fat in Asian-Chinese adults using age, height, skinfold thickness and waist circumference. J Acad Nutr Diet. 2018, 118(7): 1263-1269
|
| [10] |
Huang L, Lum D, Haiyum M, Fairbairn KA. Vitamin D status of elite athletes in Singapore and its associations with muscle function and bone health. J Sci Sport Exer. 2021, 3: 385-393
|
| [11] |
Kasper AM, Langan-Evans C, Hudson JF, Brownlee TE, Harper LD, Naughton RJ, Morton JP, Close GL. Come back skinfolds, all is forgiven: a narrative review of the efficacy of common body composition methods in applied sports practice. Nutrients. 2021, 13(4): 1075
|
| [12] |
Kerr A, Slater GJ, Byrne N. Impact of food and fluid intake on technical and biological measurement error in body composition assessment methods in athletes. Br J Nutr. 2017, 117(4): 591-601
|
| [13] |
Lukaski H, Raymond-Pope CJ. New frontiers of body composition in sport. Int J Sports Med. 2021, 42(7): 588-601
|
| [14] |
McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, Sheppard J, Burke LM. Defining training and performance caliber: a participant classification framework. Int J Sports Physiol Perform. 2022, 17(2): 317-331
|
| [15] |
Meyer NL, Sundgot-Borgen J, Lohman TG, Ackland TR, Stewart AD, Maughan RJ, Smith S, Müller W. Body composition for health and performance: a survey of body composition assessment practice carried out by the Ad Hoc Research Working Group on Body Composition, Health and Performance under the Auspices of the IOC Medical Commission. Br J Sports Med. 2013, 47(16): 1044-1053
|
| [16] |
Nana A, Slater GJ, Stewart AD, Burke LM. Methodology review: using Dual-Energy X-Ray Absorptiometry (DXA) for the assessment of body composition in athletes and active people. Int J Sport Nutr Exerc Metab. 2014, 25(2): 198-215
|
| [17] |
R Core Team. R: A language and environment for statistical computing. 2021. https://www.R-project.org/. Accessed 15 Dec 2021.
|
| [18] |
Reilly T, George K, Marfell-Jones M, Scott M, Sutton L, Wallace JA. How well do skinfold equations predict percent body fat in elite soccer players?. Int J Sports Med. 2009, 30(8): 607-613
|
| [19] |
Santos DA, Dawson JA, Matias CN, Rocha PM, Allison DB, Sardinha LB, Silva AM. Reference values for body composition and anthropometric measurements in athletes. PLoS ONE. 2014, 9(5): 97846
|
| [20] |
Sesbreno E, Slater G, Mountjoy M, Galloway S. Development of an anthropometric prediction model for fat free mass and muscle mass in elite athletes. Int J Sport Nutr Exerc Metab. 2020, 30(2): 174-181
|
| [21] |
Stewart AD, Hannan WJ. Prediction of fat and fat-free mass in male athletes using dual X-ray absorptiometry as the reference method. J Sport Sci. 2000, 18(4): 263-274
|
| [22] |
Warner ER, Fornetti WC, Jallo JJ, Pivarnik JM. A skinfold model to predict fat-free mass in female athletes. J Athl Train. 2004, 39(3): 259-262
|
| [23] |
Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson Jr RN. Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements. Am J Clin Nutr. 1994, 60(1): 23-28
|
| [24] |
Wulan SN, Westerterp KR, Plasqui G. Ethnic differences in body composition and the associated metabolic profile: A comparative study between Asians and Caucasians. Maturitas. 2010, 65(4): 315-319
|
Funding
National Institute of Diabetes and Digestive and Kidney Diseases(1R01DK132385)
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