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A comparison of body composition assessment methods in climbers: Which is better?


Autoři: María José Arias Téllez aff001;  Fernando Carrasco aff001;  Vanesa España Romero aff003;  Jorge Inostroza aff001;  Alejandro Bustamante aff005;  Ignacio Solar Altamirano aff001
Působiště autorů: Department of Nutrition, Faculty of Medicine, University of Chile, Independence, Santiago, Chile aff001;  PROFITH “PRO-moting FITness and Health through physical activity” research group, Department of Physical and Sports Education, Sport and Health University Research Institute (iMUDS), Faculty of Sports Science, University of Granada, Granada, Spain aff002;  MOVE-IT Research group,Department of Physical Education, Faculty of Education Sciences University of Cádiz, Cádiz, Spain aff003;  Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Cádiz, Spain aff004;  Department of Kinesiology, Faculty of Medicine, University of Chile, Independence, Santiago, Chile aff005;  High Performance Center, Pedro de Valdivia, Ñuñoa, Santiago, Chile aff006
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0224291

Souhrn

Objective

To compare body composition estimations of field estimation methods: Durnin & Womersley anthropometry (DW-ANT), bioelectrical impedance analysis (BIA) and Deborah-Kerr anthropometry (DK-ANT) against dual-energy X-ray absorptiometry (DXA) in a male Chilean sport climbing sample.

Methods

30 adult male climbers of different performance levels participated in the study. A DXA scan (Lunar Prodigy®) was used to determine fat mass, lean mass and total bone mineral content (BMC). Total muscle mass (MM, kg) was estimated through a validated prediction model. DW-ANT and BIA (“non-athletes” and “athletes” equations) were used to determinate fat mass percentage (FM %), while DK-ANT was utilized to estimate MM and BMC.

Results

A significant (p<0.01) inter-method difference was observed for all methods analyzed. When compared to DXA, DW-ANT and BIA underestimated FM% and DK-ANT overestimated MM and BMC (All p<0.01). The inter-method differences was lower for DW-ANT.

Discussion

We found that body composition estimation in climbers is highly method dependent. If DXA is not available, DW-ANT for FM% has a lower bias of estimation than BIA in young male Chilean climbers. For MM and BMC, further studies are needed to compare and estimate the DK-ANT bias level. For both methods, correction equations for specific climbing population should be considered.

Klíčová slova:

Fats – Sports and exercise medicine – Sports – X-ray radiography – Anthropometry – Climbing – Absorptiometry


Zdroje

1. Ackland TR, Lohman TG, Sundgot-Borgen J, Maughan RJ, Meyer NL, 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 42: 227–249. doi: 10.2165/11597140-000000000-00000 22303996

2. Wang ZM, Pierson RN Jr., Heymsfield SB(1992) The five-level model: a new approach to organizing body-composition research. Am J Clin Nutr 56: 19–28. doi: 10.1093/ajcn/56.1.19 1609756

3. Fogelholm M, van Marken Lichtenbelt W (1997) Comparison of body composition methods: a literature analysis. Eur J Clin Nutr 51: 495–503. doi: 10.1038/sj.ejcn.1600448 11248873

4. Kerr DA (1988) An anthropometric method for the fracitionation of skin, adipose, muscle, bone and residual tissue masses in males and females age 6 to 77 years: Simon Fraser University.

5. Spenst LF, Martin AD, Drinkwater DT (1993) Muscle mass of competitive male athletes. J Sports Sci 11: 3–8. doi: 10.1080/02640419308729956 8450582

6. Kerr DA, Ross WD, Norton K, Hume P, Kagawa M, et al. (2007) Olympic lightweight and open-class rowers possess distinctive physical and proportionality characteristics. J Sports Sci 25: 43–53. doi: 10.1080/02640410600812179 17127580

7. Lovera M, Keogh J (2015) Anthropometric profile of powerlifters: differences as a function of bodyweight class and competitive success. J Sports Med Phys Fitness 55: 478–487. 25611080

8. Espana Romero V, Ruiz JR, Ortega FB, Artero EG, Vicente-Rodriguez G, et al. (2009) Body fat measurement in elite sport climbers: comparison of skinfold thickness equations with dual energy X-ray absorptiometry. J Sports Sci 27: 469–477. doi: 10.1080/02640410802603863 19204847

9. Mermier CM, Janot JM, Parker DL, Swan JG (2000) Physiological and anthropometric determinants of sport climbing performance. Br J Sports Med 34: 359–365; discussion 366. doi: 10.1136/bjsm.34.5.359 11049146

10. Ozimek M, Krawczyk M, Zadarko E, Barabasz Z, Ambrozy T, et al. (2017) Somatic Profile of the Elite Boulderers in Poland. J Strength Cond Res 31: 963–970. doi: 10.1519/JSC.0000000000001673 28328714

11. Watts PB (2004) Physiology of difficult rock climbing. Eur J Appl Physiol 91: 361–372. doi: 10.1007/s00421-003-1036-7 14985990

12. Watts PB, Joubert LM, Lish AK, Mast JD, Wilkins B (2003) Anthropometry of young competitive sport rock climbers. Br J Sports Med 37: 420–424. doi: 10.1136/bjsm.37.5.420 14514533

13. Jiří Baláš OP, Andrew J. Martin, Darryl Cochrane Hand–arm strength and endurance as predictors of climbing performance. European Journal of Sport Science 2011.

14. Miloš Puletić DS The Influence of somatotype components on success in sport climbing. Physical Education and Sport 2014 12: 105–111.

15. Durnin JV, 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. doi: 10.1079/bjn19740060 4843734

16. Siri WR, 1961. (1961) Body composition from fluid spaces and density; analysis of methods. In: Techniques for measuring body composition Ed. Brozek J. and Henschel A.,. Nat.Acad.Sci.Washington D.C. pp. 223–244.

17. Draper N, Dickson T, Blackwell G, Fryer S, Priestley S, et al. (2011) Self-reported ability assessment in rock climbing. J Sports Sci 29: 851–858. doi: 10.1080/02640414.2011.565362 21491325

18. Nick Draper DG, Schoffel Volker(2016) Comparative grading scales, statistical analyses, climber descriptors and ability grouping: International Rock Climbing Research Association position statement. Sports Technology.

19. Harriss DJ, Atkinson G (2015) Ethical Standards in Sport and Exercise Science Research: 2016 Update. Int J Sports Med 36: 1121–1124. doi: 10.1055/s-0035-1565186 26671845

20. Stewart A, Marfell-Jones M, Olds T, De Ridder H (2001) International society for the advancement of kinanthropometry: international standards for anthropometric assessment. Lower Hutt, New Zealand: International Society for the Advancement of Kinanthropometry.

21. Norton K, Olds TA (2000) Biosystem Servicio Educativo. Rosario, Argentina.

22. Lopez-Taylor JR, Gonzalez-Mendoza RG (2018) Accuracy of Anthropometric Equations for Estimating Body Fat in Professional Male Soccer Players Compared with DXA. 2018: 6843792. doi: 10.1155/2018/6843792 29736402

23. Lozano Berges G, Matute Llorente A, Gomez Bruton A, Gonzalez Aguero A, Vicente Rodriguez G, et al. (2017) Body fat percentage comparisons between four methods in young football players: are they comparable? Nutr Hosp 34: 1119–1124. doi: 10.20960/nh.760 29130710

24. Zemski AJ, Broad EM, Slater GJ (2018) 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 Exerc Metab 28: 90–99. doi: 10.1123/ijsnem.2017-0251 29035601

25. Carvalho HM, Coelho-e-Silva MJ, Franco S, Figueiredo AJ, Tavares OM, et al. (2012) Agreement between anthropometric and dual-energy X-ray absorptiometry assessments of lower-limb volumes and composition estimates in youth-club rugby athletes. Appl Physiol Nutr Metab 37: 463–471. doi: 10.1139/h2012-027 22497291

26. Mazic S, Lazovic B, Delic M, Lazic JS, Acimovic T, et al. (2014) Body composition assessment in athletes: a systematic review. Med Pregl 67: 255–260. doi: 10.2298/mpns1408255m 25151767

27. Grant S, Hynes V, Whittaker A, Aitchison T (1996) Anthropometric, strength, endurance and flexibility characteristics of elite and recreational climbers. J Sports Sci 14: 301–309. doi: 10.1080/02640419608727715 8887209

28. Watts PB, Martin DT, Durtschi S (1993) Anthropometric profiles of elite male and female competitive sport rock climbers. J Sports Sci 11: 113–117. doi: 10.1080/02640419308729974 8497013

29. Watts PB, Daggett M, Gallagher P, Wilkins B (2000) Metabolic response during sport rock climbing and the effects of active versus passive recovery. Int J Sports Med 21: 185–190. doi: 10.1055/s-2000-302 10834350


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