Bustos-Viviescas BJ, Acevedo-Mindiola AA, Padilla AJR, Lozada MJL, Lozano ZRE, Merchán OsRD

Language: Spanish
References: 9
Page: 1-9
PDF size: 181.49 Kb.

ABSTRACT

Introduction: Few studies have been conducted about high intensity functional training, despite the popularity of this form of exercise.
Objective: Establish the association between maximal oxygen consumption and Pukie WOD performance (150 burpees per time unit) in physically active subjects.
Methods: A non-experimental correlational-descriptive quantitative study was conducted of a nonprobability sample of 14 men and 6 women. The evaluations were performed in two days, with a separation of 48 hours between them. Maximal oxygen consumption was measured on the first day using the Course-Navette test, and the Pukie WOD was applied on the second day. Statistical analysis was performed with the software IBM SPSS V.22 (Demo) (95% confidence and a p-value of 0.05), the Shapiro-Wilk normality test, Pearson's chi-squared test (p > 0.05) and Spearman's correlation coefficient (p < 0.05).
Results: Results indicate that a negative relationship existed between both variables in men (r = -0.46) and in women (r = -0,46), but it was not significant (p> 0.05).
Conclusion: Maximal oxygen consumption is not a significant predictor of Pukie WOD performance in physically active subjects.

REFERENCES

1. Bellar D, Hatchett A, Judge LW, Breaux ME, Marcus L. The relationship of aerobic capacity, anaerobic peak power and experience to performance in CrossFit exercise. Biology of sport. 2015;32(4),315-320. DOI: https://dx.doi.org/10.5604%2F20831862.1174771

2. Fernández-Fernández J, Sabido Solana R, Moya D, Sarabia JM, Moya M. Acute Physiological Responses During Crossfit(r) Workouts. European Journal of Human Movement. 2015;35,114-124. Disponible en: https://recyt.fecyt.es/index.php/ejhm/article/view/56437/34430

3. Butcher SJ, Neyedly TJ, Horvey KJ, Benko CR. Do physiological measures predict selected CrossFit((r)) benchmark performance?. Open Access Journal of Sports Medicine. 2015;6:241-247. DOI: https://dx.doi.org/10.2147%2FOAJSM.S88265

4. Ratamess NA, Rosenberg JG, Klei S, Dougherty BM, Kang J, Smith CR, Ross RE, Faigenbaum AD. Comparison of the acute metabolic responses to traditional resistance, body-weight, and battling rope exercises. Journal of Strength & Conditioning Research. 2015;29(1):47-57. Disponible en: http://journals.lww.com/nsca-jscr/pages/articleviewer.aspx?year=2015&issue=01000&article=00006&type=abstract

5. Leger L, Lambert J. A maximal multistage 20-m shuttle run test to predict VO2 max. Eur J Appl Physiol. 1982;49(1),1-12. DOI: https://doi.org/10.1007/BF00428958

6. Harriss DJ, Macsween A, Atkinson G. Standards for Ethics in Sport and Exercise Science Research: 2018 Update. Int J Sports Med. 2017;38(14):1126-1131. DOI: https://doi.org/10.1055/s-0043-124001

7. Bustos Viviescas BJ, Rodríguez Acuña LE, Acevedo -Mindiola AA, Lozano Zapata RE. Asociación entre el consumo máximo de oxígeno y el rendimiento del WOD Karen: un estudio piloto. Revista Con-Ciencias Del Deporte. 2019;2(1):56-74. Disponible en: http://150.187.216.84/index.php/rccd/article/view/837/746

8. Dexheimer JD, Schroeder ET, Sawyer BJ, Pettitt RW, Aguinaldo AL, Torrence WA. Physiological Performance Measures as Indicators of CrossFit(r) Performance. Sports. 2019;7(4):93. DOI: https://doi.org/10.3390/sports7040093

9. Tibana RA, Frade Sousa NM, Barros GC, Prestes J. Correlação das variáveis antropométricas e fisiológicas com o desempenho no Crossfit(r). Revista Brasileira de Prescrição e Fisiologia do Exercício (RBPFEX). 2017;11(70):880-887. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=6341736