Longitudinal Changes in Peak Aerobic and Anaerobic Mechanical Power of Circumpubertal Boys

1993 ◽  
Vol 5 (4) ◽  
pp. 318-331 ◽  
Author(s):  
Bareket Falk ◽  
Oded Bar-Or

A mixed cross-sectional longitudinal design was used to study the effect of growth and physical maturation on peak aerobic and anaerobic mechanical power. Subjects were divided into three groups based on Tanner staging: 16 prepubertal (PP, Stage 1), 15 midpubertal (MP, Stages 2, 3, 4), and 5 late pubertal (LP, Stage 5). Aerobic and anaerobic power were observed every 6 months for IS months. Peak mechanical aerobic power and peak oxygen consumption were determined using a progressive cycle ergometer test. Anaerobic power indices were derived from the Wingate Anaerobic Test. There was no difference in peak mechanical aerobic power (in W · kg−1) among the maturation groups, nor with chronological age. There was a significant difference in peak and mean anaerobic power (in W · kg−1) among maturation groups, but the increase with chronological age was not statistically significant. There was a significant correlation between aerobic and anaerobic power (in Watt) during each session among the PP and MP boys but not among the LP boys. This may suggest that the child’s metabolic specialization into either an aerobic or anaerobic performer begins in late puberty.

2020 ◽  
Vol 25 ◽  
pp. 75-87
Author(s):  
Alon Eliakim ◽  
Michal Eliakim ◽  
Michal Pantanowitz ◽  
Yoav Meckel ◽  
Dan Nemet

The present study examined whether background music improves aerobic and anaerobic performance in overweight children. Eleven participants (14.6±1.5 yrs, BMI%: 94.3±6.5) performed aerobic (20m Shuttle Run) and anaerobic (repeated sprint test – RST) field tests. Ten participants (12.0±2.1 yrs, BMI%:97.4±1.6) performed aerobic (treadmill running) and anaerobic (Wingate Anaerobic Test – WAnT) laboratory tests. Treadmill running time was significantly longer with, compared to without, music (11.9±1.5 versus 10.6±2.2 min, respectively; p<0.007). There was no significant difference in the 20m shuttle run distance with or without music. Total sprint time was significantly faster during RST with, compared to without, music (47.7±4.7 versus 48.5±5.5 s, respectively; p<0.04), with no significant difference in ideal sprint time and performance decrement. There was no significant difference in peak and mean anaerobic power and fatigue index during the WAnT with and without music. Motivational music may be used to improve aerobic and anaerobic performance among overweight children.


2021 ◽  
Vol 12 ◽  
Author(s):  
Nicki Winfield Almquist ◽  
Øyvind Sandbakk ◽  
Bent R. Rønnestad ◽  
Dionne Noordhof

Although the ability to sprint repeatedly is crucial in road cycling races, the changes in aerobic and anaerobic power when sprinting during prolonged cycling has not been investigated in competitive elite cyclists. Here, we used the gross efficiency (GE)-method to investigate: (1) the absolute and relative aerobic and anaerobic contributions during 3 × 30-s sprints included each hour during a 3-h low-intensity training (LIT)-session by 12 cyclists, and (2) how the energetic contribution during 4 × 30-s sprints is affected by a 14-d high-volume training camp with (SPR, n = 9) or without (CON, n = 9) inclusion of sprints in LIT-sessions. The aerobic power was calculated based on GE determined before, after sprints, or the average of the two, while the anaerobic power was calculated by subtracting the aerobic power from the total power output. When repeating 30-s sprints, the mean power output decreased with each sprint (p &lt; 0.001, ES:0.6–1.1), with the majority being attributed to a decrease in mean anaerobic power (first vs. second sprint: −36 ± 15 W, p &lt; 0.001, ES:0.7, first vs. third sprint: −58 ± 16 W, p &lt; 0.001, ES:1.0). Aerobic power only decreased during the third sprint (first vs. third sprint: −17 ± 5 W, p &lt; 0.001, ES:0.7, second vs. third sprint: 16 ± 5 W, p &lt; 0.001, ES:0.8). Mean power output was largely maintained between sets (first set: 786 ± 30 W vs. second set: 783 ± 30 W, p = 0.917, ES:0.1, vs. third set: 771 ± 30 W, p = 0.070, ES:0.3). After a 14-d high-volume training camp, mean power output during the 4 × 30-s sprints increased on average 25 ± 14 W in SPR (p &lt; 0.001, ES:0.2), which was 29 ± 20 W more than CON (p = 0.008, ES: 0.3). In SPR, mean anaerobic power and mean aerobic power increased by 15 ± 13 W (p = 0.026, ES:0.2) and by 9 ± 6 W (p = 0.004, ES:0.2), respectively, while both were unaltered in CON. In conclusion, moderate decreases in power within sets of repeated 30-s sprints are primarily due to a decrease in anaerobic power and to a lesser extent in aerobic power. However, the repeated sprint-ability (multiple sets) and corresponding energetic contribution are maintained during prolonged cycling in elite cyclists. Including a small number of sprints in LIT-sessions during a 14-d training camp improves sprint-ability mainly through improved anaerobic power.


Sports ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 136
Author(s):  
Clifton J. Holmes ◽  
Bjoern Hornikel ◽  
Katherine Sullivan ◽  
Michael V. Fedewa

The purpose was to examine the association of critical power from a three-minute all-out row (CP3-min) and peak power from a one-stroke maximum test (1-Stroke) with laboratory-based fitness assessments (peak oxygen consumption [V.O2peak] and Wingate anaerobic test [WAnT]) and 6000 m (6K) and 2000 m (2K) rowing ergometer performance. Thirty-one female collegiate rowers (20.2 ± 1.1 years, 70.9 ± 6.9 kg, and 172.2 ± 4.8 cm) participated in fitness and rowing performance testing. Pearson’s correlations, linear regression, and Cohen’s q were used to determine statistical relationships. Absolute V.O2peak values displayed significant correlations with 6Ktotal (−0.68), 6Ksplit (−0.68), 2Ktotal (−0.64), and 2Ksplit (−0.43). Relative V.O2peak displayed significant correlations with 6Ktotal (−0.36), and 6Ksplit (−0.37). CP3-min demonstrated significant correlations with 6Ktotal (−0.62), 6Ksplit (−0.62), 2Ktotal (−0.61), and 2Ksplit (−0.99). For 2Ksplit, a significant difference was observed between relative V.O2peak and CP3-min correlations with a “large” effect size (q = 2.367). Furthermore, 1-Stroke showed significant associations with 6Ktotal (−0.63), 6Ksplit (−0.63), 2Ktotal (−0.62), and 2Ksplit (−0.44), while WAnT produced non-significant correlations. Absolute V.O2peak CP3-min accounted for significant proportions of variance observed with performance measures (p < 0.05). Practitioners should consider incorporating CP3-min and 1-Stroke as additional tests for gauging rowing performance.


2009 ◽  
Vol 62 (5-6) ◽  
pp. 207-211 ◽  
Author(s):  
Jelena Popadic-Gacesa ◽  
Dea Karaba-Jakovljevic ◽  
Otto Barak ◽  
Miodrag Drapsin

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.


2015 ◽  
Vol 12 (2) ◽  
pp. 513 ◽  
Author(s):  
Özkan Işık ◽  
Yasin Ersöz ◽  
Murat Pazan ◽  
Yücel Ocak

The aim of this study is to examine the effect of the motivational music on the Wingate Anaerobic Test (WAnT) performance. 16<strong> </strong>male<strong> </strong>students who studied at School of Physical Education and Sports, Kocatepe University participated in the study voluntarily. After demographic characteristics of the voluntaries [age, height, body weight (BW), body mass index (BMI)] were measured without music (pre-test) and with motivational music [&gt;120 bpm (beats per minute)] conditions (post-test). For the analyses of the data; Wilcoxon Rank Test was used in order to detect the difference among the variables. As a result of the measurements taken in with and without music conditions; it was found out that there was a statistically significant difference on behalf of condition with music in terms of maximum anaerobic power (M<sub>ax</sub>AP), maximum anaerobic capacity (MAC), relative anaerobic power (RAP), relative anaerobic capacity (RAC) and fatigue index (FI) values (p&lt;0,05), while there was no statistically significant difference in terms of minimum anaerobic power (M<sub>in</sub>AP) values (p&gt;0,05). It was determined that the motivational music has positive effects on the WAnT performance. However; although it was seen that motivational music increased the WAnT performance, we were of the opinion that this effect emerged thanks to the increased psycho-physiological factors caused by music.


2015 ◽  
Vol 49 (1) ◽  
pp. 219-227 ◽  
Author(s):  
Haris Pojskić ◽  
Vlatko Šeparović ◽  
Edin Užičanin ◽  
Melika Muratović ◽  
Samir Mačković

Abstract The aim of the present study was to compare the aerobic and anaerobic power and capacity of elite male basketball players who played multiple positions. Fifty-five healthy players were divided into the following three different subsamples according to their positional role: guards (n = 22), forwards (n = 19) and centers (n = 14). The following three tests were applied to estimate their aerobic and anaerobic power and capacities: the countermovement jump (CMJ), a multistage shuttle run test and the Running-based Anaerobic Sprint Test (RAST). The obtained data were used to calculate the players’ aerobic and anaerobic power and capacities. To determine the possible differences between the subjects considering their different positions on the court, one-way analysis of variance (ANOVA) with the Bonferroni post-hoc test for multiple comparisons was used. The results showed that there was a significant difference between the different groups of players in eleven out of sixteen measured variables. Guards and forwards exhibited greater aerobic and relative values of anaerobic power, allowing shorter recovery times and the ability to repeat high intensity, basketball-specific activities. Centers presented greater values of absolute anaerobic power and capacities, permitting greater force production during discrete tasks. Coaches can use these data to create more individualized strength and conditioning programs for different positional roles.


2020 ◽  
Vol 12 (1) ◽  
pp. 41-50
Author(s):  
I. Ethem Hindistan ◽  
Emel Cetin Ozdogan ◽  
Gürkan Bilgin ◽  
Omer Halil Colak ◽  
Y. Gul Ozkaya

SummaryStudy aim: Several sprint interval training applications with different slope angles in the literature mostly focused on sprint running time and kinematic and dynamic properties of running. There is a lack of comparative studies investigating aerobic and anaerobic power. Therefore, this study aimed to examine the effects of sprint interval training on sloping surfaces on anaerobic and aerobic power.Material and methods: A total of 34 male recreationally active men aged 20.26 ± 1.68 years and having a BMI of 21.77 ± 1.74 were assigned to one of the five groups as control (CON), uphill training (EXP1), downhill training (EXP2), uphill + downhill training (EXP3) and horizontal running training (EXP4) groups. Gradually increased sprint interval training was performed on horizontal and sloping surfaces with an angle of 4°. The training period continued for three days a week for eight weeks. The initial and the final aerobic power was measured by an oxygen analyser and anaerobic power was calculated from the results of the Margaria-Kalamen staircase test.Results: Following the training programme, an increase in aerobic power was found in all training groups (EXP1 = 20.79%, EXP2 = 14.95%, EXP3 = 26.85%, p < 0.01) and EXP4 = 20.46%) (p < 0.05) in comparison with the CON group (0.12%), but there were no differences among the training groups. However, significant increases in anaerobic power were found in uphill training (4.91%) and uphill + downhill training (8.35%) groups (p < 0.05).Conclusion: This study showed that all sprint interval studies on horizontal and sloping surfaces have a positive effect on aerobic power, and uphill and combined training are the most effective methods for the improvement of anaerobic power.


2018 ◽  
Vol 23 (1) ◽  
pp. 16-22
Author(s):  
O. Çetin ◽  
M.N. Yaşar ◽  
B. Demirtaş ◽  
M. Beyleroğlu ◽  
S. Eker ◽  
...  

Background and aim of the study : In recent years, the use of ergogenic aid has become widespread in order to improve performance among the athletes and to achieve success more easily. Pre-workout nutritional supplements that attract the attention of many athletes as a legal ergogenic aid are used by both aerobic and anaerobic branch athletes. The aim of this study is to examine the acute effect of the pre-workout supplement on aerobic and anaerobic performance in basketball players. Material and Method: Twenty male college basketball players who have played regularly at least for 5 years participated in the study voluntarily (mean ± SD 22.00 ± 1.70 years, height 1.83 ± 0.07 cm, weight 85.15 ± 10.78 kg, BMI 25.32 ± 3.10). Double-blind placebo-controlled, cross-over method was used for the collection of data. The players were divided into two groups as placebo (PL, n= 10) and pre-workout (PRW, n= 10). Placebo and pre-workout groups were replaced 48 hours after the initial measurements and the same tests were repeated. The pre-workout group was given 17 gr (Bigjoy Predator) in 200 mg of additive-free juice 1 hour before the test, only 200 mg of additive free juice was given to the placebo group. Countermovement Jump (CMJ) and Running-Based Anaerobic Sprint Test (RAST) were used to measure the anaerobic performance of the athletes, and Yoyo Intermittent Recovery Test 1(Yo-Yo IRL1) was used to measure aerobic capacities. Results: A significant difference was found concerning the Countermovement Jump (CMJ) test results (p= 0, 004), Relative peak power (p= 0.001) and Relative average power (p= 0.012) values obtained from RAST test data. There was no significant difference in fatigue index (p = 0.79) and VO2 max (p= 0.492) values. Conclusion: While pre-workout supplementation has an acute effect on anaerobic power data, it has been observed that there is no acute effect on the data obtained from fatigue index and aerobic endurance test.


2021 ◽  
Vol 7 (1) ◽  
pp. 19-27
Author(s):  
V.M. Miroshnichenko ◽  
O. Yu. Brezdeniuk ◽  
V.V. Holovkina ◽  
O.I. Romanenko ◽  
I.S. Chekhivska

Purpose: to identify the features of the impact of aquafitness training on aerobic and anaerobic productivity of women 25-35 years. Material and methods: The study involved women aged 25-35 in the number of 41 people. For 24 weeks, the subjects were training in an aquafitness program. Training sessions of aquafitness were aerobic and strength. Anaerobic alactate productivity of the organism was determined by the Wingate anaerobic test WAnT 10. Anaerobic lactate productivity of the organism was determined by the Wingate anaerobic test WAnT 30 and bicycle ergometric test by the method of A. Shogy, G. Cherebetin. The threshold of anaerobic metabolism was determined by bicycle ergometric test F. Conconi et al. in the modification of  Yu.M. Furman. The aerobic productivity of the organism was investigated according to the Vo2 max index determined by the method of V.L. Karpman. Absolute and relative indicators were determined for all tests. Results: Aquafitness is an effective means of correcting the indicators of functional preparedness. The combination of strength and aerobic training in the aquafitness program provides an increase in aerobic productivity, anaerobic lactatic productivity and anaerobic alactatic productivity. Under the influence of training according to the aquafitness program, an increase in all indicators of functional preparedness was revealed. The power of anaerobic alactate productivity of the organism determined by the relative indicator WAnT 10 increased with a statistically significant difference on the level (t = 5.07; p = 0.000). The power of anaerobic lactate productivity of the organism determined by the relative indicator WAnT 30 increased with a statistically significant difference on the level (t=4,68; p=0,000). The power of aerobic productivity of the organism determined by the relative indicator VO2 max increased with a statistically significant difference on the level (t=2,77; p=0,007). Conclusions: Aquafitness is an effective means of correcting the indicators of functional preparedness. The combination of strength and aerobic training in the aquafitness program provides an increase in aerobic productivity, anaerobic lactatic productivity and anaerobic alactatic productivity.  


Author(s):  
Aykut Dundar ◽  
Sayad Kocahan ◽  
Cengiz Arslan

Abstract Background The purpose of this study was to investigate the effects of different exercise loads (short, medium and long swimming distances) on apelin levels and some physical and hematologic parameters of male professional swimmers. Materials and methods Apelin levels, hematologic parameters, whole blood values and physical measurements, including body mass index (BMI), aerobic power values and anaerobic power values, were also obtained. Results It was determined that the thrombocyte, erythrocyte and leukocyte values from the hematologic parameters increased after exercise (p < 0.05). According to the results, there were significant differences (p < 0.05) between the pretest apelin level (2090.75 pg/mg) and the apelin levels taken after swimming M 200 m (4260.43 pg/mg) and after swimming L 400 m (3694.4 pg/mg). Conclusions The different exercise loads had significant effects on the hematologic parameters and apelin values in the swimmers. The study also determined the relationships between swimming exercises and aerobic and anaerobic capacity and BMI.


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