scholarly journals Correlation Between Muscle Architecture and Anaerobic Power in Athletes Involved in Different Sports

2021 ◽  
Author(s):  
Kyu-Lim Lee ◽  
Tae-Woong Oh ◽  
Young-Chun Gil ◽  
Hee-Jin Kim
Keyword(s):  
Peak Power ◽  
Muscle Development ◽  
Anaerobic Power ◽  
Muscle Thickness ◽  
Mean Power ◽  
Time To Peak ◽  
Muscle Structure ◽  
Significant Difference ◽  
High Degree ◽  
Fascicle Angle

Abstract Background: Athletes cultivate highly developed muscles based on their sport category, creating a body shape that matches the characteristics of that sports category. We tested the significance of the correlation between muscle development characteristics and anaerobic power in athletes to build a database for each category.Methods: Fifty-eight college athletes participated in this study. To assess muscle characteristics, muscle thickness (MT) and fascicle angle (FA) were measured by ultrasonography (US) in lower limb. Furthermore, anaerobic power was measured with the Wingate test.Results: Analysis of the correlation between muscle structure and anaerobic power revealed significant differences between the sports categories, except for the MT of the medial head of gastrocnemius (Gm), lateral head of gastrocnemius, and FA of Gm. A significant difference was observed for all parameters, except for the arrival time to peak power in the anaerobic power items; in particular, a high degree of correlation in mean power/kg and peak power/kg was observed.Conclusion: A similar tendency was observed in the correlation between muscle structure and anaerobic power in most sports categories, but certain muscle characteristic factors were prominent in each sport. Based on these, it is possible to contribute to predicting and promoting athletic performance.

scholarly journals Correlation between muscle architecture and anaerobic power in athletes involved in different sports

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyu-Lim Lee ◽  
Tae-Woong Oh ◽  
Young-Chun Gil ◽  
Hee-Jin Kim
Keyword(s):  
Peak Power ◽  
Muscle Development ◽  
Anaerobic Power ◽  
Muscle Thickness ◽  
Mean Power ◽  
Test Analysis ◽  
Time To Peak ◽  
Muscle Structure ◽  
Significant Difference ◽  
High Degree

AbstractAthletes cultivate highly developed muscles based on their sport category, creating a body shape that matches the characteristics of that sports category. We tested the significance of the correlation between muscle development characteristics and anaerobic power in athletes to build a database for each category. Fifty-eight college athletes participated in this study. To assess muscle characteristics, muscle thickness (MT) and fascicle angle (FA) were measured by ultrasonography (US) in lower limb. Furthermore, anaerobic power was measured with the Wingate test. Analysis of the correlation between muscle structure and anaerobic power revealed significant differences between the sports categories, except for the MT of the medial head of gastrocnemius (Gm), lateral head of gastrocnemius, and FA of Gm. A significant difference was observed for all parameters, except for the arrival time to peak power in the anaerobic power items; in particular, a high degree of correlation in mean power/kg and peak power/kg was observed. A similar tendency was observed in the correlation between muscle structure and anaerobic power in most sports categories, but certain muscle characteristic factors were prominent in each sport. Based on these, it is possible to contribute to predicting and promoting athletic performance.

A Comparison of Asynchronous and Synchronous Arm Cranking During the Wingate Test

2011 ◽  
Vol 6 (3) ◽  
pp. 419-426 ◽  
Author(s):  
Dale I. Lovell ◽  
Dale Mason ◽  
Elias Delphinus ◽  
Chris McLellan
Keyword(s):  
Blood Lactate ◽  
Peak Power ◽  
Anaerobic Power ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Wingate Test ◽  
Mean Power ◽  
Arm Cranking ◽  
Minimum Power ◽  
Time To Peak

Purpose:The aim of this study was to compare asynchronous (AS Y) arm cranking (cranks at 180° relative to each other) with synchronous (SYN) arm cranking (parallel crank setting) during the 30 s Wingate anaerobic test.Methods:Thirty-two physically active men (aged 22.1 ± 2.4 y) completed two Wingate tests (one ASY and one SYN) separated by 4 d in a randomized counterbalanced order. The Wingate tests were completed on a modified electromagnetically braked cycle ergometer. Performance measures assessed during the two tests include peak power, mean power, minimum power, time to peak power, rate to fatigue and maximum cadence (RPMmax). Blood lactate concentration was also measured before and 5 min after the tests.Results:Peak and mean power (both absolute and relative to body weight) during SYN arm cranking were significantly (p < 0.001) less than during ASY arm cranking. Rate to fatigue and RPMmax were also significantly (p = 0.012) lower during SYN arm cranking compared with ASY arm cranking. No significant difference was found between test conditions for minimum power, time to peak power or blood lactate concentration.Conclusions:These findings demonstrate that ASY arm cranking results in higher peak and mean anaerobic power compared with SYN arm cranking during the Wingate test. Therefore, an ASY arm crank configuration should be used to assess anaerobic power in most individuals although specific population groups may require further testing to determine which crank configuration is most suitable for the Wingate test.

scholarly journals Application of modified Wingate anaerobic test in maximal power measurement

2009 ◽  
Vol 62 (5-6) ◽  
pp. 207-211 ◽  
Author(s):  
Jelena Popadic-Gacesa ◽  
Dea Karaba-Jakovljevic ◽  
Otto Barak ◽  
Miodrag Drapsin
Keyword(s):  
Peak Power ◽  
Anaerobic Power ◽  
Power Measurement ◽  
Mean Power ◽  
Wingate Anaerobic Test ◽  
Explosive Power ◽  
Measurement Protocol ◽  
Significant Difference ◽  
The Difference ◽  
Anaerobic Test

INTRODUCTION Wingate anaerobic test is an all-out test, which gives information about maximal anaerobic power. The aim of the study was to show characteristics of standard and modified versions of Wingate anaerobic test (WAnT), and to determine and explain the differences in observed parameters due to the measurement protocol applied. MATHERIAL AND METHODS The testing was conducted on 30 male non sportsmen, who performed usual everyday activities. The following parameters were measured: peak power or anaerobic power, mean power as a mean value of power during the whole test and explosive power or acceleration. Modified versions were performed with 5 s or 10 s delay of maximal cycling activity, during which the person was slowly pedaling. RESULTS The average values of parameters Peak power and Explosive power in our participants were 622.20?134.57 W and 89.26 ?28.57 W/s, respectively. In modification 1 Peak Power and Explosive Power were 680.25?133.43 W and 100.60?12.77 W/s, and in modification 2 they were 685.95?135.68 W and 100.30?10.09 W/s. Significant differences were found in both parameters between the standard and modified versions, but there was no significant difference between two modified versions. The mean power parameter was not considered in the discussion, because of the fact that modified versions were shortened, and it was not a valid measurement for this parameter. DISCUSION AND CONCLUSION The difference between standard and modified versions can be explained by the difference between test and retest probes, and also because of modification of protocol which can partially influence the results of testing.

Reliability of Wingate Testing in Adolescents with Down Syndrome

2009 ◽  
Vol 21 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Myriam Guerra ◽  
Maria Giné-Garriga ◽  
Bo Fernhall
Keyword(s):  
Body Weight ◽  
Down Syndrome ◽  
Peak Power ◽  
Intraclass Correlation ◽  
Published Data ◽  
Mean Power ◽  
Wingate Anaerobic Test ◽  
Time To Peak ◽  
Significant Difference ◽  
Anaerobic Test

The Wingate anaerobic test (WAnT) has not been used to assess individuals with Down syndrome (DS) and it is unknown if it is reliable in this population. We investigated the reliability of the WAnT in 19 adolescents with DS (age = 14.8 yrs; weight = 52.7 kg; height = 146.3 cm). Participants completed, on separate days, two standards WAnT using a resistance of 0.7 Nm × body weight (kg) in individuals ≥ 14 years old, and 0.5 Nm × body weight (kg) in participants < 14 years of age. Data were analyzed using intraclass correlation coefficient (ICC), dependent t tests and Bland-Altman plots. There was a significant difference between days for peak power (210.37 W vs. 236.26 W; ICC = 0.93), but not for mean power (158.72 vs. 168.71 W; ICC = 0.86), time to peak power (6.67 vs. 6.28 s; ICC = 0.69), or the fatigue index (9.33 vs. 5.43 W/sec; ICC = 0.09). Adolescents with DS exhibit low WAnT performance compared with previously published data on adolescents without DS and the reliability of WAnT is questionable in this population.

scholarly journals Does Post-Activation Potentiation Protocols affect Anaerobic Performance in women Taolu Wushu Athletes?

2021 ◽  
Author(s):  
José Afonso ◽  
Hengameh Moradian ◽  
Rasoul Eslami ◽  
Alexandre Martins ◽  
Abdolhossein Parnow
Keyword(s):  
Peak Power ◽  
Performance Enhancement ◽  
Anaerobic Performance ◽  
Fatigue Index ◽  
Short Term ◽  
Mean Power ◽  
Significant Difference ◽  
Strength Based ◽  
Rest Time ◽  
Lactate Levels

Abstract Introduction: Post-activation potentiation has an influence on short duration and high intensity function. This study aimed to answer this question whether post-activation potentiation protocol in different models has effect on anaerobic performance in women Wushu athletes. Methods: Women elite Taolu Wushu athletes participated in current crossover design study. (i) specific Wushu WU (Wushu WU); (ii) Strength-based WU (StreWU); and (iii) Speed-based WU (SpeWU) were performed by Wushu athletes in three inconsecutive days separated by 48 h. Five minutes after each WU protocols, Running-Based Anaerobic Sprint Test (RAST) was performed. Heart rate, immediately, and blood lactate were measured for 4 times: before WU protocols, immediately after WU protocols, before RAST, immediately after RAST.Results: Data analysis revealed significant differences in 4 time points of lactate levels (p=0.001; d=1.71), although no significant difference among protocols was observed. Values of variables obtained from RAST showed that StreWU had a significant impact on minimum power (p<0.05; d=-0.795) comparing to WushuWU and on fatigue index comparing to SpeWU (p<0.05; d=-0.799). No significant differences were found among the WU protocols for peak power and mean power.Conclusion: All WU protocols had mostly the same effect, and PAP was not very effective. Possibly, the WU protocols generated too much fatigue, due to the short-term rest time. However, longer intervals would likely enter the realm of post-activation performance enhancement, which is distinct from PAP.

The Effects of Active and Passive Recovery on Short-Term, High Intensity Power Output

1993 ◽  
Vol 18 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Joseph F. Signorile ◽  
Lisa M. Tremblay ◽  
Christopher Ingalls
Keyword(s):  
High Intensity ◽  
Peak Power ◽  
Anaerobic Power ◽  
Cycle Ergometry ◽  
Superior Performance ◽  
Recovery Cycle ◽  
Active Recovery ◽  
Short Term ◽  
Passive Recovery ◽  
Significant Difference

The advantage of active over passive recovery from long and intermediate duration exercise is well documented. Success has been attributed to metabolite washout and/or lactate (La) utilization by the active musculature. This study was designed to determine whether active recovery was superior to passive rest during short duration, high intensity performance. On 4 separate days, six athletes performed a set of eight 6-s power tests separated by 30-s recovery intervals under two recovery conditions. Recovery conditions involved either sitting passively on the bike (P) or actively pedaling (A) at 60 rpm using 1 kg resistance. A MANOVA on peak power (PP), fatigue rate (F), and total work (TW) showed a significant difference due to recovery condition, F(3, 169); p <.0001. Separate ANOVAs revealed that PP (A = 1192.85 watts, P = 1134.57 watts; p <.0001) and TW (A = 6.59 kJ, P = 6.23 kJ; p <.0001) differed significantly between conditions. No difference was found for F (A = 80.12 watts∙sec−1, P = 79.80 watts∙sec−1). Results indicate that active recovery provides superior performance to passive rest in repeated short-term, high intensity power activities. Key words: recovery, cycle ergometry, anaerobic power

Short-Term Power Output in 9-Year-Old Children: Typical Error between Ergometers and Protocols

2003 ◽  
Vol 15 (3) ◽  
pp. 302-312 ◽  
Author(s):  
Craig A. Williams ◽  
Eric Doré ◽  
James Alban ◽  
Emmanuel Van Praagh
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Cycle Ergometer ◽  
Short Term ◽  
Mean Power ◽  
Time To Peak ◽  
Pedal Rate ◽  
Cycle Ergometers ◽  
Power Peak ◽  
S Peak

This study investigated the differences in short-term power output (STPO) using three different cycle ergometers in 9-year-old children. A total of 31 children participated in three cycle ergometer sprint tests of 20 s duration: a modified friction braked Monark, a modified friction braked Ergomeca cycle ergometer, and a SRM isokinetic ergometer. Common indices of peak and mean power, peak pedal rate, time to peak power, and pedal rate were recorded. Indices of peak power 1 s for the Monark, Ergomeca and SRM ergometer were found to be 299 ± 55, 294 ± 55, 297 ± 53 W and mean power 20 s to be 223 ± 40, 227 ± 43 and 216 ± 34 W, respectively. The time to peak power was found to be 3 ± 2, 6 ± 2, 5 ± 3 s, respectively. The standard error of measurement was lower in mean 20-s power compared to 1-s peak power. Despite instrumentation and protocol differences these results demonstrate reproducibility in 9-year-old children that will allow researchers confidence in comparing STPO data obtained from different ergometers.

scholarly journals Comparison of the Velocity and Power Parameters During Loaded-Squat Jump Exercise of National Athletes in Different Branches

2018 ◽  
Vol 6 (5) ◽  
pp. 16 ◽  
Author(s):  
Ibrahim Can ◽  
Hamit Cihan ◽  
Erdal Ari ◽  
Serdar Bayrakdaroglu
Keyword(s):  
Peak Power ◽  
Mean Power ◽  
Mean Velocity ◽  
Squat Jump ◽  
Jump Exercise ◽  
Significant Difference ◽  
Body Weights ◽  
Statistical Program ◽  
One Way Anova ◽  
Analyze Data

The aim of this investigation is to compare velocity and power variables during loaded-squat jump (SJLoaded) exercise of national athletes dealing with different sports branches and to identify whether velocity and power parameters become different or not according to branches. In accordance with this purpose, a total of 36 national athletes (age: 20.3±1.68 years; height: 173.5±6.46 cm; weight: 72.3±10.29 kg) composed of 12 wrestlers (age: 19.5±.90 years; height: 172.3±6.19 cm; weight: 75.5±13.9 kg), 12 arm wrestlers (age: 20.5±2.02 years; height: 174.7±4.76 cm; weight: 72.6±8.31 kg) and 12 kickboxers (age: 20.7±1.81 years; height: 173.5±8.29 cm; weight: 68.9±6.94 kg) dealing with different sports branches have voluntarily participated in this study. For identifying velocity and power parameters, SJLoaded exercise was executed with an external load that corresponds to 40% of body weights of the athletes by utilizing an isoinertial velocity transducer (T-Force dynamic measurement system) and values of mean velocity (MV), mean propulsive velocity (MPV), peak velocity (PV), mean power (MP), mean propulsive power (MPP) and peak power (PP) were determined. All data analyzes were performed in the SPSS 16.0 statistical program. Firstly, in order to analyze data, it was determined that the data indicated normal distribution by looking at the Shapiro-Wilk coefficient regarding the normality of the distribution of the data. Therefore one-way analysis of variance (One-way ANOVA) was utilized to identify statistical significant differences among athletes competing in different branches with regard to the velocity and power variables during the SJLoaded exercise. According to analyze results, no statistical significant difference wasn’t seen among branches with regard to MV [f (2.33) = 1.306], MPV [f (2. 33)=2.195], PV [f (2. 33)=2.242], MP [f (2. 33)=1.225], MPP [f (2. 33)=2.787] and PP [f (2. 33)= 2.607] parameters during SJLoaded exercise (p>0.05). The velocity and power parameters obtained in the SJLoaded exercise don’t differ according to the branches.

scholarly journals Validity of the RAST for evaluating anaerobic power performance as compared to Wingate test in cycling athletes

2013 ◽  
Vol 19 (4) ◽  
pp. 696-702
Author(s):  
Marcos Roberto Queiroga ◽  
Timothy Gustavo Cavazzotto ◽  
Keyla Yukari Katayama ◽  
Bruno Sérgio Portela ◽  
Marcus Peikriszwili Tartaruga ◽  
...  
Keyword(s):  
Linear Correlation ◽  
Strong Correlation ◽  
Peak Power ◽  
Anaerobic Power ◽  
Wingate Test ◽  
Power Performance ◽  
Mountain Bike ◽  
Fatigue Index ◽  
Mean Power ◽  
Paired T Test

The validity of the Running-based Anaerobic Sprint Test (RAST) was investigated to evaluate the anaerobic power performance in comparison to Wingate test in cycling athletes. Ten mountain-bike male cyclists (28.0±7.3 years) randomly performed Wingate Test and RAST with two trials each. After several anthropometric measurements, peak power (PP), mean power (MP) and fatigue index (FI) for RAST and Wingate Test were analyzed using Student's paired t-test, Pearson's linear correlation test (r) and Bland and Altman's plots. Results showed that, with the exception of FI (33.8±4.6% vs. 37.8±7.9%; r=0.172), significant differences were detected between the Wingate and RAST tests with regard to PP and MP. Although there was a strong correlation for PP and MP, or rather, 0.831 and 0.714 respectively, agreement of analysis between Wingate and RAST protocols was low. The above suggested that RAST was not appropriate to evaluate the performance of anaerobic power by Wingate test in cycling athletes.

scholarly journals The effect of menstrual cycle on anaerobic power and jumping performance

2021 ◽  
Vol 25 (6) ◽  
pp. 367-372
Author(s):  
Ayşegül Yapıcı-Öksüzoğlu ◽  
Halit Egesoy
Keyword(s):  
Menstrual Cycle ◽  
Peak Power ◽  
Female Athletes ◽  
Anaerobic Power ◽  
Hormonal Changes ◽  
Jump Performance ◽  
Jumping Performance ◽  
Women's Participation ◽  
Significant Difference ◽  
Jumping Test

Background and Study Aim. There has been a significant increase in the participation levels of women in competitive sports in recent years. This has contributed to the increase of research on women's participation in sports and their health. The aim of this study is to investigate the effect of the menstrual cycle on anaerobic power and jumping performance. Material and Methods. In this study, 15 female athletes between the ages of 18-24, who have a regular menstrual cycle for the last 6 months Wingate Anaerobic Power Test and Active Jumping Test applied to athletes during their menstrual phases (second day of the menstruation period) and follicular phases (14th day of the menstruation period). In the statistical analysis of the data, descriptive analyses of test measurements of athletes were calculated as mean and standard deviation. Whether there is a significant difference between the measurements taken on two different days was analyzed using the t-test in dependent groups. Results. It was determined that the anaerobic power and active jump performances of the participants had an effect on peak power, fatigue index and active jump performance between day 2 and day 14 values. Also, there was a statistically significant difference between these values (p<0.05). Conclusions. This situation can be explained as a result of the hormonal changes in the menstrual period of the athletes and the effects of psychological factors specific to this period.

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