Literature DB >> 35990709

Anaerobic Contributions Are Influenced by Active Muscle Mass and The Applied Methodology in Well-Controlled Muscle Group.

Gabriel Luches-Pereira1, Carlos A Kalva-Filho2, Marcelo Papoti1.   

Abstract

The anaerobic metabolism determination is complex and the applied methodologies present limitations. Thus, the purpose of this study was to investigate the effects of different calculations (MAOD vs. AOD) on the anaerobic contribution using the dynamic knee extension. Twenty-four male were recruited [Mean (SD); age 27 (1) years, body mass 90 (3) kg, height 181 (2) cm]. This study was divided into two independent experiments (EXP1: one-legged; EXP2: two-legged). In both experiments, it was performed a graded exercise test to determine maximal power (MP-GXT); 2-4 submaximal efforts (VO2-intensity relationship); and an exhaustive effort. The theoretical energy demand for the exhaustive effort (TEDex) was constructed from the submaximal efforts. Therefore, MAOD was assumed as the difference between the TEDex and the accumulated VO2 (AVO2). In contrast, the energy demand for AOD was calculated as the product between VO2 at the end of exercise and time to exhaustion (TEDaod). Thus, AOD was assumed as the difference between TEDaod and AVO2. Bayesian paired t-test was used to compare the differences between the applied methods. Also, correlations between the anaerobic indices and performance were verified. In EXP1, AOD was higher than MAOD [1855 (741) vs. 434 (245); BF10 = 2925; ES = 2.5]. In contrast, in EXP2, MAOD was higher than AOD [2832 (959) vs. 1636 (549); BF10 = 3.33; ES = 1.4]. Also, AOD was correlated to performance (r = .59; BF10 = 4.38). We concluded that MAOD and AOD are a distinct phenomenon and must be utilized according to the exercise model.

Entities:  

Keywords:  High-intensity effort; anaerobic capacity; anaerobic estimation; dynamic knee extension; oxygen deficit; performance; time to exhaustion

Year:  2022        PMID: 35990709      PMCID: PMC9365110     

Source DB:  PubMed          Journal:  Int J Exerc Sci        ISSN: 1939-795X


  42 in total

1.  Reproducibility of the maximum accumulated oxygen deficit and run time to exhaustion during short-distance running.

Authors:  M Doherty; P M Smith; K Schroder
Journal:  J Sports Sci       Date:  2000-05       Impact factor: 3.337

2.  Energy system contribution during 200- to 1500-m running in highly trained athletes.

Authors:  M R Spencer; P B Gastin
Journal:  Med Sci Sports Exerc       Date:  2001-01       Impact factor: 5.411

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Authors:  C L Weber; D A Schneider
Journal:  Eur J Appl Physiol       Date:  2000-07       Impact factor: 3.078

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Authors:  A Zagatto; P Redkva; J Loures; C Kalva Filho; V Franco; E Kaminagakura; M Papoti
Journal:  Scand J Med Sci Sports       Date:  2011-01-07       Impact factor: 4.221

5.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

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Authors:  S Green; B T Dawson
Journal:  Med Sci Sports Exerc       Date:  1996-03       Impact factor: 5.411

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Journal:  J Appl Physiol (1985)       Date:  1988-01

Review 8.  The maximal accumulated oxygen deficit method: a valid and reliable measure of anaerobic capacity?

Authors:  Dionne A Noordhof; Jos J de Koning; Carl Foster
Journal:  Sports Med       Date:  2010-04-01       Impact factor: 11.136

9.  Dynamic knee extension as model for study of isolated exercising muscle in humans.

Authors:  P Andersen; R P Adams; G Sjøgaard; A Thorboe; B Saltin
Journal:  J Appl Physiol (1985)       Date:  1985-11

10.  Current Research and Statistical Practices in Sport Science and a Need for Change.

Authors:  Jake R Bernards; Kimitake Sato; G Gregory Haff; Caleb D Bazyler
Journal:  Sports (Basel)       Date:  2017-11-15
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