Journals / Türk Spor ve Egzersiz Dergisi / 2017 / Cilt: 19 - Sayı: 2

Relationship between upper extremity fat mass and race time in triathlete

Pages
279–283
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Fat percentage is determined to have a significant relationship in positive manner with jogging (r = 0.382), cycling (r = 0.370), and total race time (r = 0.387) at p

📌 3 Key Takeaways

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Objective & Hypothesis:This study was conducted to investigate the effect of upper extremity fat ratio on triathletes’ the race time. 43 volunteer athletes who participated in the 9th World University Triathlon Championship ((17 women – 26 men), age 22.30 ± 2.42 years, height 172.76 ± 16.08 cm, body weight 64.79 ± 9.93 kg)) participated in the study.
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Key Findings & Data:Segmental analysis was performed by Tanita BC 418 Body Composition Analyzer before the race, on an empty stomach and with shorts and T-shirt.
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Conclusion & Impact:Fat percentage is determined to have a significant relationship in positive manner with jogging (r = 0.382), cycling (r = 0.370), and total race time (r = 0.387) at p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study was conducted to investigate the effect of upper extremity fat ratio on triathletes’ the race time. 43 volunteer athletes who participated in the 9th World University Triathlon Championship ((17 women – 26 men), age 22.30 ± 2.42 years, height 172.76 ± 16.08 cm, body weight 64.79 ± 9.93 kg)) participated in the study. Segmental analysis was performed by Tanita BC 418 Body Composition Analyzer before the race, on an empty stomach and with shorts and T-shirt. At 40 ° C air temperature, athletes firstly swam for 1.5 km, which was followed by cycling on 40 km track and finally 10 kilometers track run. SPSS 16.0 statistical software was utilized for data calculation and evaluation. According to the normality test results; Pearson correlation analysis was used to explain the relationship between the measurements and linear regression analysis was utilized to determine the effect of fat ratio on race time. This study in which the effect of upper extremity fat ratio on race time was examined, revealed that upper extremity segmental analysis has no significant effect on swimming time in triathlon (p >0.05). In addition; upper extremity fat mass has no significant effect on jogging, cycling and total race time either (p>0.05). Fat percentage is determined to have a significant relationship in positive manner with jogging (r = 0.382), cycling (r = 0.370), and total race time (r = 0.387) at p

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Cite This Article

COLAK, M., TASKIN, H., BILGIN, U., YARIM, I., CETIN, E. (2022). Relationship between upper extremity fat mass and race time in triathlete. Türk Spor ve Egzersiz Dergisi, Cilt: 19 - Sayı: 2, 279–283. https://ajindex.com/articles/642369

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References (15)

  1. Arrese AL, Ostáriz ES. Skinfold thicknesses associated with distance running performance in highly trained runners. Journal of Sports Sciences, 2006; 24(1): 69 – 76
  2. Ateş B, Saygın Ö, Zorba E. Evaluation of the physical capacity and the quality of life of the housewifes. International Journal of Human Science, 2009; 6(2): 357-367
  3. Bale P, Rowell S, Colley E. Anthropometric and training characteristics of female marathon runners as determinants of distance running performance. J Sports Sci, 1985; 3: 115-126
  4. Bale P, Bradbury D, Colley E. Anthropometric and training variables related to 10km running performance. Br J Sports Med, 1986; 20: 170-173
  5. Boileau RA, Horswill CA. Body composition in sports: Measurement and applications for weight loss and gain. Exercise and sport science (Ed. W.E, Garrett, D.T., Kirkendall)’de, Lippincott Williams and Wilkins, Philadelphia, USA, 2002; 319-338
  6. Christensen CL, Ruhling RO. Physical characteristics of novice and experienced women marathon runners. Br J Sports Med, 1983; 17: 166-171
  7. Docherty D, Gaul CA. Relationship of body size physique and composition to physical performance in young boys and girls. Int J Sports Med, 1991; 12: 525-532
  8. Geladas ND, Nassis GP, Pavlicevic S. Somatic and physical traits affecting sprint swimming performance in young swimmers. Int J Sports Med, 2005; 26: 139-144
  9. Gregor RJ. Biomechanics of Cycling. In: Garrett WE, Kirkendall DT, editors. Exercise and Sport Science. Philadelphia (PA): Lippincott Williams and Williams, 2010; 515-537
  10. Gregory J, Johns DP, Walls JT. Relative vs. absolute physiological measures as predictors of mountain bike crosscountry race performance. J Strength Cond Res, 2007; 21: 17- 22
  11. Hagan RD, Upton SJ, Duncan JJ, Gettman LR. Marathon performance in relation to maximal aerobic power and training indices in female distance runners. Br J Sports Med, 1987; 21: 3-7
  12. Hetland ML, Haarbo J, Christiansen C. Regional body composition determined by dual-energy X-ray absorptiometry. Relation to training, sex hormones, and serum lipids in male long-distance runners. Scandinavian Journal of Medicine and Science in Sports, 1998; 8: 102-108
  13. Heyward VH, Stolarczyk LM. Applied Body Composition Assessment. Champaign, IL; Human Kinetics, USA, 1996
  14. Hoffman MD, Lebus DK, Ganong AC, Casazza GA, Van Loan M. Body composition of 161-km ultramarathoners. Int J Sport Med, 2010; 31: 106-109
  15. Impellizzeri FM, Rampinini E, Sassi A, et al. Physi