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Variability and accuracy of body fat estimates using skinfolds and DXA in elite Gaelic football players: a validation study and development of novel prediction equations

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Abstract

In elite Gaelic football, body composition is commonly assessed by methods, such as skinfold equations and dual-energy X-ray absorptiometry (DXA) with estimates of body fat used to evaluate and monitor nutrition and training programmes. The aim of this study was to assess the accuracy and variability of the existing skinfold equations in predicting body fat % (BF%) and fat mass (FM) as compared to DXA in elite Gaelic football players and to derive novel sport-specific skinfold equations. Body composition in thirty-two elite outfield Gaelic football players (23.4 ± 3.3 years; 83.6 ± 7.2 kg; 183.5 ± 6.4 cm) was assessed via skinfold thickness at 7 sites and DXA. A standardised testing protocol was followed for both methods of assessment. Male-specific prediction equations commonly used in Gaelic football research to estimate BF% (Durnin and Womersley, Evans, Lohman, Reilly and Withers) and FM (Stewart) were selected. Using the skinfold data collected, Gaelic football prediction equations were developed relative to DXA. All the existing skinfold equations underestimated BF% (8.9–11.8%) and FM (6.8 kg) by varying magnitudes relative to DXA (15.2%; 11.8 kg). Gaelic football prediction equations for BF% and FM were designed and accounted for 69% and 76% variance in DXA derived BF% and FM, respectively. The existing skinfold equations demonstrated large variation in estimates of BF% and FM in elite Gaelic football players as compared to DXA, causing the potential for misleading comparisons and inappropriate intervention. The Gaelic football equations offer sport-specific estimates of BF% and FM and greater consistency as compared to the selected equations when evaluating nutrition and training strategies.

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References

  1. Beasley KJ (2014) Nutrition and Gaelic football: review, recommendations and future considerations. Int J Sport Nutr Exerc Metab. https://doi.org/10.1123/ijsnem.2013-0214

    Article  PubMed  Google Scholar 

  2. Mangan S, Ryan M, Shovlin A et al (2019) Seasonal changes in Gaelic football match-play running performance. J Strength Cond Res 33:1685–1691. https://doi.org/10.1519/JSC.0000000000002269

    Article  PubMed  Google Scholar 

  3. Catháin CÓ, Fleming J, Renard M, Kelly DT (2020) Dietary intake of Gaelic football players during game preparation and recovery. Sports. https://doi.org/10.3390/sports8050062

    Article  PubMed  PubMed Central  Google Scholar 

  4. McGahan J, Burns C, Lacey S et al (2020) Investigation in to the positional running demands of elite Gaelic football players: how competition data can inform training practice. J Strength Cond Res 34:2040–2047. https://doi.org/10.1519/JSC.0000000000002492

    Article  PubMed  Google Scholar 

  5. Shovlin A, Roe M, Malone S, Collins K (2018) Positional anthropometric and performance profile of elite Gaelic football players. J Strength Cond Res 32:2356–2362. https://doi.org/10.1519/JSC.0000000000002071

    Article  PubMed  Google Scholar 

  6. Davies RW, Toomey C, McCormack W et al (2016) Body composition analysis of inter-county Gaelic athletic association players measured by dual energy X-ray absorptiometry. J Sports Sci 34:1015–1020. https://doi.org/10.1080/02640414.2015.1085076

    Article  PubMed  Google Scholar 

  7. Doran DA, Mc Geever S, Collins KD et al (2014) The validity of commonly used adipose tissue body composition equations relative to dual energy X-ray absorptiometry (DXA) in gaelic games players. Int J Sports Med 35:95–100. https://doi.org/10.1055/s-0033-1333693

    Article  CAS  PubMed  Google Scholar 

  8. Cullen BD, Cregg CJ, Kelly DT et al (2013) Fitness profiling of elite level adolescent gaelic football players. J Strength Cond Res 27(8):2096–2103

    Article  PubMed  Google Scholar 

  9. Kelly R, Collins K (2018) The Seasonal variations in anthropometric and performance characteristics of elite intercounty Gaelic football players. J Strength Cond Res 32:3466–3473. https://doi.org/10.1519/jsc.0000000000001861

    Article  PubMed  Google Scholar 

  10. Aragon AA, Schoenfeld BJ, Wildman R et al (2017) International society of sports nutrition position stand: diets and body composition. J Int Soc Sports Nutr 14:16. https://doi.org/10.1186/s12970-017-0174-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Larson-Meyer DE, Woolf K, Burke L (2018) Assessment of nutrient status in athletes and the need for supplementation. Int J Sport Nutr Exerc Metab 28:139–158. https://doi.org/10.1123/ijsnem.2017-0338

    Article  CAS  PubMed  Google Scholar 

  12. Suarez-Arrones L, Petri C, Maldonado RA et al (2018) Body fat assessment in elite soccer players: cross-validation of different field methods. Sci Med Footb 2:203–208. https://doi.org/10.1080/24733938.2018.1445871

    Article  Google Scholar 

  13. Hind K, Slater G, Oldroyd B et al (2018) Interpretation of dual-energy X-ray absorptiometry-derived body composition change in athletes: a review and recommendations for best practice. J Clin Densitom 21:429–443. https://doi.org/10.1016/j.jocd.2018.01.002

    Article  PubMed  Google Scholar 

  14. Gomes AC, Landers GJ, Binnie MJ et al (2020) Body composition assessment in athletes: comparison of a novel ultrasound technique to traditional skinfold measures and criterion DXA measure. J Sci Med Sport. https://doi.org/10.1016/j.jsams.2020.03.014

    Article  PubMed  Google Scholar 

  15. Ackland TR, Lohman TG, Sundgot-Borgen J et al (2012) Current status of body composition assessment in sport: review and position statement on behalf of the ad hoc research working group on body composition health and performance, under the auspices of the I.O.C. Medical Commission. Sports Med Auckl NZ 42:227–249. https://doi.org/10.2165/11597140-000000000-00000

    Article  Google Scholar 

  16. Bilsborough JC, Greenway K, Opar D et al (2014) The accuracy and precision of DXA for assessing body composition in team sport athletes. J Sports Sci 32:1821–1828. https://doi.org/10.1080/02640414.2014.926380

    Article  PubMed  Google Scholar 

  17. Durnin JVGA, Womersley J (1974) 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 32:77–97. https://doi.org/10.1079/BJN19740060

    Article  CAS  PubMed  Google Scholar 

  18. Jackson AS, Pollock ML (1978) Generalized equations for predicting body density of men. Br J Nutr 40:497–504. https://doi.org/10.1079/bjn19780152

    Article  CAS  PubMed  Google Scholar 

  19. Reilly T, George K, Marfell-Jones M et al (2009) How well do skinfold equations predict percent body fat in elite soccer players? Int J Sports Med 30:607–613. https://doi.org/10.1055/s-0029-1202353

    Article  CAS  PubMed  Google Scholar 

  20. Boyle E, Warne J, Collins K (2021) Anthropometric and performance profile of elite Gaelic football players comparing position and role. Sport Sci Health 17:763–770. https://doi.org/10.1007/s11332-021-00758-3

    Article  Google Scholar 

  21. McIntyre MC, Hall M (2005) Physiological profile in relation to playing position of elite college Gaelic footballers. Br J Sports Med 39:264–266. https://doi.org/10.1136/bjsm.2003.011254

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Lohman TG (1981) Skinfolds and body density and their relation to body fatness: a review. Hum Biol 53:181–225

    CAS  PubMed  Google Scholar 

  23. Withers RT, Craig NP, Bourdon PC, Norton KI (1987) Relative body fat and anthropometric prediction of body density of male athletes. Eur J Appl Physiol 56:191–200

    Article  CAS  Google Scholar 

  24. Meyer N, Sundgot-Borgen J, Lohman TG, Ackland T, Stewart A, Maughan RJ, Smith S, Mueller W (2013) 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, vol 47

  25. Hume P, Marfell-Jones M (2008) The importance of accurate site location for skinfold measurement. J Sports Sci 26:1333–1340. https://doi.org/10.1080/02640410802165707

    Article  PubMed  Google Scholar 

  26. Kerr A, Slater GJ, Byrne N (2017) Impact of food and fluid intake on technical and biological measurement error in body composition assessment methods in athletes. Br J Nutr 117:591–601. https://doi.org/10.1017/S0007114517000551

    Article  CAS  PubMed  Google Scholar 

  27. Stewart A, Marfell-Jones M, Olds T, De Ridder J (2011) International standards for anthropometric assessment. ISAK, Lower Hutt

    Google Scholar 

  28. Evans EM, Rowe DA, Misic MM et al (2005) Skinfold prediction equation for athletes developed using a four-component model. Med Sci Sports Exerc 37:2006–2011

    Article  PubMed  Google Scholar 

  29. Stewart AD, Hannan WJ (2000) Prediction of fat and fat-free mass in male athletes using dual X-ray absorptiometry as the reference method. J Sports Sci 18:263–274. https://doi.org/10.1080/026404100365009

    Article  CAS  PubMed  Google Scholar 

  30. Siri WE (1956) The Gross Composition of the Body. The author’s investigations were supported by a contract between the AEC and the University of California, Berkeley. In: Lawrence JH, Tobias CA (eds) Advances in biological and medical physics. Elsevier, Oxford, pp 239–280

    Google Scholar 

  31. Nana A, Slater GJ, Stewart AD, Burke LM (2015) 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 25:198–215. https://doi.org/10.1123/ijsnem.2013-0228

    Article  PubMed  Google Scholar 

  32. Hopkins WG, Marshall SW, Batterham AM, Hanin J (2009) Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 41:3–13. https://doi.org/10.1249/MSS.0b013e31818cb278

    Article  PubMed  Google Scholar 

  33. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet Lond Engl 1:307–310

    Article  CAS  Google Scholar 

  34. Eston RG, Rowlands AV, Charlesworth S et al (2005) Prediction of DXA-determined whole body fat from skinfolds: importance of including skinfolds from the thigh and calf in young, healthy men and women. Eur J Clin Nutr 59:695–702. https://doi.org/10.1038/sj.ejcn.1602131

    Article  CAS  PubMed  Google Scholar 

  35. Zemski A, Broad E, Slater G (2017) Skinfold prediction equations fail to provide an accurate estimate of body composition in elite rugby union athletes of caucasian and polynesian ethnicity. Int J Sport Nutr Exec Metab 28:90

    Article  Google Scholar 

  36. Wells JCK, Fewtrell MS (2006) Measuring body composition. Arch Dis Child 91:612–617. https://doi.org/10.1136/adc.2005.085522

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Silva AM, Fields DA, Quitério AL, Sardinha LB (2009) Are skinfold-based models accurate and suitable for assessing changes in body composition in highly trained athletes? J Strength Cond Res 23:1688–1696. https://doi.org/10.1519/JSC.0b013e3181b3f0e4

    Article  PubMed  Google Scholar 

  38. Collins K, Hughes B, Keenan B, Kennedy M (2013) Effect of high-intensity interval training on elite Gaelic football players. BASES - Conference Proceedings Archive [Internet]. Available from: https://www.academia.edu/29372848/Effect_of_High_Intensity_Interval_Training_on_Elite_Gaelic_Football_Players

  39. Dunne A, Warrington G, O’Loughlin G et al (2020) Estimation of body fat percentage in jockeys: implications for a weight category sport. Int J Exerc Sci 13:511–525

    PubMed  PubMed Central  Google Scholar 

  40. Earthman CP (2015) Body composition tools for assessment of adult malnutrition at the bedside: a tutorial on research considerations and clinical applications. J Parenter Enter Nutr 36:787

    Article  Google Scholar 

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Funding

This research was supported by the Irish Injured Jockeys Fund, Munster Technological University and Waterford Institute of Technology.

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Correspondence to Arthur Dunne.

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Dunne, A., O’Neill, C., Warrington, G. et al. Variability and accuracy of body fat estimates using skinfolds and DXA in elite Gaelic football players: a validation study and development of novel prediction equations. Sport Sci Health 18, 1263–1272 (2022). https://doi.org/10.1007/s11332-022-00896-2

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