The Level of Aerobic and Anaerobic Capacity and the Results of a Special Mobility Fitness Test of Female Judo Contestants

Author(s):  
Beata Wolska ◽  
Valerij Smulskij ◽  
Władysław Jagiełło
Author(s):  
Tri Saptono ◽  
Sumitarsih Sumitarsih ◽  
R. Agung Purwandono Saleh

The research  aims to determine: 1) differences in the effect of aerobic and anaerobic exercise on increasing body immunity, 2) differences in increasing body immunity between low and high Body Mass Index, 3) differences in increasing body immunity between high Body Mass Index aerobic exercise and  high Body Mass Index anaerobic exercise, 4) differences in the increase in body immunity between low Body Mass Index aerobic exercise and low Body Mass Index anaerobic exercise, 5) the effect of interaction between Body Mass Index with aerobic and anaerobic exercise on increasing body immunity through Physical Fitness Test The research  uses an experimental method with  2x2 factorial design. The population of this research is the SPIRITS Sleman Yogyakarta volleyball club. The sample size is 24 athletes. The research data analysis technique used ANOVA. Prerequisite test of data analysis using normality test (Lilliefors test  = 0.05) and homogeneity test of variance (Bartlet test  = 0.05) The results of the  research: 1) There is a difference in the effect between aerobic exercise with an average of 4.016667 and anaerobic exercise with an average of 2.825, on the increase in physical fitness test ability with an average difference of 1.191667. 2) There is a different effect between low BMI with an average of 4.325 and high BMI with an average of 2.516667 on increasing physical fitness test abilities with an average difference of 1.808333. 3) There is a different effect between low BMI aerobic exercise with an average of 5.15 and low BMI anaerobic exercise with an average of 3.5 on increasing physical fitness test ability with an average difference of 1.65. 4) There is a difference  between high BMI aerobic exercise with an average of 2.883333 and high BMI anaerobic exercise with an average of 2.15 on the increase in physical fitness test with an average difference of 0.7333333. 5) Interaction between aerobic exercise, anaerobic exercise and BMI 0.656866


2021 ◽  
Author(s):  
Manuel Angulo ◽  
Alejandra Polanco ◽  
Luis Muñoz

Abstract Pacing strategies are used in cycling to optimize the power delivered by the cyclist during a race. Gains in race time have been obtained when using these strategies compared to self-paced approaches. For this reason, this study is focused on revising the effect that the variation of the cyclist’s parameters has on the pacing strategy and its results. A numeric method was used to propose pacing strategies for a cyclist riding on an ascending 3.7 km route with a constant 6.26% road grade. The method was validated and then implemented to study the effect of aerobic and anaerobic power delivery capacity, mass, and drag area on the pacing strategies and their corresponding estimated race times. The results showed that modifying 1% of the aerobic capacity or cyclist mass value led to a change of 1% on the race time. Modifying 1% the anaerobic capacity and the drag area led to changes of 0.03% and 0.02% on the race time, respectively. These results are strongly dependent on the route characteristics. It was concluded that for the studied route (constantly ascending), the variation of the cyclist’s aerobic capacity influences the pacing strategy (i.e., the power delivery over the distance). The anaerobic capacity and mass of the cyclist also influence the pacing strategy to a lesser extent.


Sports ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. 57 ◽  
Author(s):  
Hamid Arazi ◽  
Abbas Keihaniyan ◽  
Amin EatemadyBoroujeni ◽  
Amir Oftade ◽  
Sheida Takhsha ◽  
...  

2016 ◽  
Vol 41 (8) ◽  
pp. 864-871 ◽  
Author(s):  
Phillip M. Bellinger ◽  
Clare L. Minahan

The present study investigated the effects of β-alanine supplementation on the resultant blood acidosis, lactate accumulation, and energy provision during supramaximal-intensity cycling, as well as the aerobic and anaerobic contribution to power output during a 4000-m cycling time trial (TT). Seventeen trained cyclists (maximal oxygen uptake = 4.47 ± 0.55 L·min−1) were administered 6.4 g of β-alanine (n = 9) or placebo (n = 8) daily for 4 weeks. Participants performed a supramaximal cycling test to exhaustion (equivalent to 120% maximal oxygen uptake) before (PreExh) and after (PostExh) the 4-week supplementation period, as well as an additional postsupplementation supramaximal cycling test identical in duration and power output to PreExh (PostMatch). Anaerobic capacity was quantified and blood pH, lactate, and bicarbonate concentrations were measured pre-, immediately post-, and 5 min postexercise. Subjects also performed a 4000-m cycling TT before and after supplementation while the aerobic and anaerobic contributions to power output were quantified. β-Alanine supplementation increased time to exhaustion (+12.8 ± 8.2 s; P = 0.041) and anaerobic capacity (+1.1 ± 0.7 kJ; P = 0.048) in PostExh compared with PreExh. Performance time in the 4000-m TT was reduced following β-alanine supplementation (−6.3 ± 4.6 s; P = 0.034) and the mean anaerobic power output was likely to be greater (+6.2 ± 4.5 W; P = 0.035). β-Alanine supplementation increased time to exhaustion concomitant with an augmented anaerobic capacity during supramaximal intensity cycling, which was also mirrored by a meaningful increase in the anaerobic contribution to power output during a 4000-m cycling TT, resulting in an enhanced overall performance.


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