scholarly journals The Development of Aerobic and Anaerobic Fitness with Reference to Youth Athletes

2020 ◽  
Vol 2 (4) ◽  
pp. 275-286 ◽  
Author(s):  
Neil Armstrong ◽  
Jo Welsman
Keyword(s):  
Longitudinal Data ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Power Output ◽  
Fat Free Mass ◽  
Peak Power Output ◽  
Youth Athletes ◽  
Physiological Variables ◽  
Aerobic And Anaerobic ◽  
Ratio Scaling

Abstract Purpose To challenge current conventions in paediatric sport science and use data from recent longitudinal studies to elucidate the development of aerobic and anaerobic fitness, with reference to youth athletes. Methods (1) To critically review the traditional practice of ratio scaling physiological variables with body mass and, (2) to use multiplicative allometric models of longitudinal data, founded on 1053 (550 from boys) determinations of 10–17-year-olds’ peak oxygen uptake ($$ {{\text{V}}\text{O}}_{2} $$ VO 2 ) and 763 (405 from boys) determinations of 11–17-year-olds’ peak power output (PP) and mean power output (MP), to investigate the development of aerobic and anaerobic fitness in youth. Results The statistical assumptions underpinning ratio scaling of physiological variables in youth are seldom met. Multiplicative allometric modelling of longitudinal data has demonstrated that fat free mass (FFM) acting as a surrogate for active muscle mass, is the most powerful morphological influence on PP, MP, and peak $$ {{\text{V}}\text{O}}_{2} $$ VO 2 . With FFM appropriately controlled for, age effects remain significant but additional, independent effects of maturity status on anaerobic and aerobic fitness are negated. Conclusions Ratio scaling of physiological variables with body mass is fallacious, confounds interpretation of the development of anaerobic and aerobic fitness, and misleads fitness comparisons within and across youth sports. Rigorous evaluation of the development of anaerobic and aerobic fitness in youth requires longitudinal analyses of sex-specific, concurrent changes in age- and maturation-driven morphological covariates. Age and maturation-driven changes in FFM are essential considerations when evaluating the physiological development of youth athletes.

Allometry of Anaerobic Performance: A Gender Comparison

1996 ◽  
Vol 21 (1) ◽  
pp. 48-62 ◽  
Author(s):  
Alan M. Batterham ◽  
Karen M. Birch
Keyword(s):  
Sex Differences ◽  
Power Output ◽  
Peak Power ◽  
Allometric Scaling ◽  
Fat Free Mass ◽  
Thigh Muscle ◽  
Peak Power Output ◽  
Anaerobic Performance ◽  
Power Functions ◽  
Physiological Variables

Physiological variables must often be scaled for body size differences to permit meaningful comparisons between groups. Using multivariate allometric scaling (MAS), this study aimed to compare the anaerobic performance of adult males and females in 12 pairs matched for physical activity status. Peak power output (PPO) was assessed via a 30-s supramaximal cycle ergometer test. Fat-free mass (FFM) and thigh muscle and bone cross-sectional area (CSA) were determined anthropometrically and served as indicators of active musculature. The MAS revealed power functions of the form PPO = a∙genderc∙FFMb (or CSAb). Common b exponents of 0.1 were identified for both FFM and CSA (negative allometry). Sex differences were found in absolute PPO (1,252 vs. 681 W, p <.05). Comparison of scaled PPO data via ANCOVA (FFM0.1 and CSA0.1 entered as cavariates) did not eliminate the sex difference (adjusted means 1,243 vs. 690 W, p <.05). The results suggest that the superior anaerobic performance of males in this sample is independent of size of the involved musculature. Key words: allometric scaling, sex differences, peak power output, anthropometry.

Seasonal changes in aerobic fitness indices in elite cyclists

2008 ◽  
Vol 33 (4) ◽  
pp. 735-742 ◽  
Author(s):  
Aldo Sassi ◽  
Franco M. Impellizzeri ◽  
Andrea Morelli ◽  
Paolo Menaspà ◽  
Ermanno Rampinini
Keyword(s):  
Oxygen Consumption ◽  
Aerobic Fitness ◽  
Power Output ◽  
Seasonal Changes ◽  
Peak Power Output ◽  
Time To Exhaustion ◽  
Absolute Maximum ◽  
Maximum Oxygen Consumption ◽  
Main Effect ◽  
Elite Cyclists

The primary purpose of this study was to compare seasonal changes in cycling gross efficiency (GE) and economy (EC) with changes in other aerobic fitness indices. The secondary aim was to assess the relationship between maximum oxygen consumption, GE, and EC among elite cyclists. The relationships of maximum oxygen consumption with GE and EC were studied in 13 cyclists (8 professional road cyclists and 5 mountain bikers). Seasonal changes in GE and EC, predicted time to exhaustion (pTE), maximum oxygen consumption, and respiratory compensation point (RCP) were examined in a subgroup of 8 subjects, before (TREST) and after (TPRECOMP) the pre-competitive winter training, and during the competitive period (TCOMP). GE and EC were assessed during a constant power test at 75% of peak power output (PPO). Significant main effect for time was found for maximum oxygen consumption (4.623 ± 0.675, 4.879 ± 0.727, and 5.010 ± 0.663 L·min–1; p = 0.028), PPO (417.8 ± 46.5, 443.0 ± 48.0, and 455 ± 48 W; p < 0.001), oxygen uptake at RCP (3.866 ± 0.793, 4.041 ± 0.685, and 4.143 ± 0.643 L·min–1; p = 0.049), power output at RCP (330 ± 64, 354 ± 52, and 361 ± 50 W; p < 0.001), and pTE (17 ± 4, 30 ± 8, and 46 ± 17 min; p < 0.001). No significant main effect for time was found in GE (p = 0.097) or EC (p = 0.225), despite within-subject seasonal changes. No significant correlations were found between absolute maximum oxygen consumption and GE (r = –0.276; p = 0.359) or EC (r = –0.328; p = 0.272). However, cyclists with high maximum oxygen consumption values (i.e., over 80 mL·kg–1·min–1), showed low efficiency rates. Despite within-subject seasonal waves in cycling efficiency, changes in GE and EC should not be expected as direct consequence of changes in other maximal and submaximal parameters of aerobic fitness (i.e., maximum oxygen consumption and RCP).

Effects of resistance or aerobic exercise training on total and regional body composition in sedentary overweight middle-aged adults

2012 ◽  
Vol 37 (3) ◽  
pp. 499-509 ◽  
Author(s):  
Cheyne E. Donges ◽  
Rob Duffield
Keyword(s):  
Exercise Training ◽  
Aerobic Exercise ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Fat Free Mass ◽  
Aerobic Exercise Training ◽  
Maximal Heart Rate ◽  
Middle Aged ◽  
Regional Body Composition ◽  
Total Body

The purpose of this study was to examine the effects of 10 weeks of aerobic endurance training (AET), resistance exercise training (RET), or a control (CON) condition on absolute and relative fat mass (FM) or fat-free mass (FFM) in the total body (TB) and regions of interest (ROIs) of sedentary overweight middle-aged males and females. Following prescreening, 102 subjects underwent anthropometric measurements, dual-energy X-ray absorptiometry, and strength and aerobic exercise testing. Randomized subjects (male RET, n = 16; female RET, n = 19; male AET, n = 16; and female AET, n = 25) completed supervised and periodized exercise programs (AET, 30–50 min cycling at 70%–75% maximal heart rate; RET, 2–4 sets × 8–10 repetitions of 5–7 exercises at 70%–75% 1 repetition maximum) or a nonexercising control condition (male CON, n = 13 and female CON, n = 13). Changes in absolute and relative TB-FM and TB-FFM and ROI-FM and ROI-FFM were determined. At baseline, and although matched for age and body mass index, males had greater strength, aerobic fitness, body mass, absolute and relative TB-FFM and ROI-FFM, but reduced absolute and relative TB-FM and ROI-FM, compared with females (p < 0.05). After training, both female exercise groups showed equivalent or greater relative improvements in strength and aerobic fitness than did the male exercise groups (p < 0.05); however, the male exercise groups increased TB-FFM and reduced TB-FM more than did the female exercise groups (p < 0.05). Male AET altered absolute FM more than male RET altered absolute FFM, thus resulting in a greater enhancement of relative FFM. Despite equivalent or greater responses to RET or AET by female subjects, the corresponding respective increases in FFM or reductions in FM were lower than those in males, indicating that a biased dose–response relationship exists between sexes following 10 weeks of exercise training.

Reliability of Physiological Attributes and Their Association With Stochastic Cycling Performance

2014 ◽  
Vol 9 (2) ◽  
pp. 309-315 ◽  
Author(s):  
Gregory T. Levin ◽  
Paul B. Laursen ◽  
Chris R. Abbiss
Keyword(s):  
Power Output ◽  
Ventilatory Threshold ◽  
Intraclass Correlation ◽  
Time Trial ◽  
Cycling Performance ◽  
Peak Power Output ◽  
Cycling Time Trial ◽  
Physiological Variables ◽  
Physiological Attributes ◽  
And Performance

Purpose:To assess the reliability of a 5-min-stage graded exercise test (GXT) and determine the association between physiological attributes and performance over stochastic cycling trials of varying distance.Methods:Twenty-eight well-trained male cyclists performed 2 GXTs and either a 30-km (n = 17) or a 100-km stochastic cycling time trial (n = 9). Stochastic cycling trials included periods of high-intensity efforts for durations of 250 m, 1 km, or 4 km depending on the test being performing.Results:Maximal physiological attributes were found to be extremely reliable (maximal oxygen uptake [VO2max]: coefficient of variation [CV] 3.0%, intraclass correlation coefficient [ICC] .911; peak power output [PPO]: CV 3.0%, ICC .913), but a greater variability was found in ventilatory thresholds and economy. All physiological variables measured during the GXT, except economy at 200 W, were correlated with 30-km cycling performance. Power output during the 250-m and 1-km efforts of the 30-km trial were correlated with VO2max, PPO, and the power output at the second ventilatory threshold (r = .58–.82). PPO was the only physiological attributed measured during the GXT to be correlated with performance during the 100-km cycling trial (r = .64).Conclusions:Many physiological variables from a reliable GXT were associated with performance over shorter (30-km) but not longer (100-km) stochastic cycling trials.

scholarly journals Determining the Peak Power Output for Weightlifting Derivatives Using Body Mass Percentage: A Practical Approach

2021 ◽  
Vol 3 ◽  
Author(s):  
Marcel Lopes dos Santos ◽  
Adam Jagodinsky ◽  
Kristen M. Lagally ◽  
Valmor Tricoli ◽  
Ricardo Berton
Keyword(s):  
Body Mass ◽  
Power Output ◽  
Peak Power ◽  
Practical Approach ◽  
Peak Power Output ◽  
Mass Percentage

scholarly journals The Effects of Hydrogen Supplement on Cycling Performance During Aerobic and Anaerobic Exercise in Humans: A Pilot Study

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1288-1288
Author(s):  
Ahad Alharb ◽  
Naoyuki Ebine ◽  
Souya Ogawa ◽  
Satoshi Nakae ◽  
Tatsuya Hojo ◽  
...  
Keyword(s):  
Power Output ◽  
Average Power ◽  
Blood Gases ◽  
Work Load ◽  
Anaerobic Exercise ◽  
Peak Power Output ◽  
Resistive Load ◽  
Double Blind ◽  
Average Power Output ◽  
Aerobic And Anaerobic

Abstract Objectives In this study we investigated the effects of hydrogen (H2) supplement, in the form of calcium bound H2 powder capsules, on aerobic and anaerobic cycling exercise. Methods Trained male subjects participated in a randomized, double-blind, crossover design trial and received H2-rich calcium powder (HCP) supplement (1500 mg/day, 2.544 μg/day of H2 gas) or H2-depleted placebo (PLA) (1500 mg/day) for 3 consecutive days. Aerobic experiment: Eighteen subjects carried out a cycling incremental exercise starting at 20 watts (W) work rate, and increasing by 20 W/2 minutes until exhaustion. Blood gases including pH, bicarbonate ion (HCO3−), partial pressures of CO2 (PCO2), metabolic profile including lactate (Lac), and electrolytes including chloride (Cl−) were measured at rest and at 120-, 200-, and 240-W work rates. Anaerobic experiment: Six subjects carried out a 30 second Wingate anaerobic exercise test (WAnT) bout with a resistive load of 7.5% of body mass. Lac was then measured at 1-, 3-, 5-, and 15-minutes following the WAnT exercise. Results Aerobic experiment: At rest, HCP had a significantly lower pH (P = 0.048), Cl− (P = 0.011), and a higher HCO3− (P = 0.041), PCO2 (P = 0.026) compared to the PLA group. During exercise, pH decrease (supplement effect: P = 0.043) and the HCO3− increase (supplement effect: P = 0.030) continued in the HCP group. Additionally, HCP did not affect peak work load and exercise duration. And no changes were noted in Lac at rest or during exercise. Anaerobic experiment: HCP did not affect peak power output or Lac recovery following WAnT. However the average power output during exercise was significantly higher in the HCP group (P = 0.019) compared to the PLA group. Conclusions HCP supplementation following 3 days of intake, slightly lowered pH during aerobic exercise, and increased average power output in the anaerobic WAnT exercise compared to the PLA group. HCP supplement might have an ergogenic effect in an anaerobic exercise setting. Funding Sources This study was supported by The Japan Society for the Promotion of Science, and the Ministry of Education, Science, and Culture of Japan. In addition, we received a research grant from the company ENAGEGATE Inc. and they provided the HCP supplement and placebo. However, no intercession, restrictions or agreements of any kind was imposed between parties regarding research design, results or publications.

CYP1A2 Genotype Polymorphism Influences the Effect of Caffeine on Anaerobic Performance in Trained Males

2021 ◽  
pp. 1-6
Author(s):  
Shahin Minaei ◽  
Morteza Jourkesh ◽  
Richard B. Kreider ◽  
Scott C. Forbes ◽  
Tacito P. Souza-Junior ◽  
...  
Keyword(s):  
Body Mass ◽  
Power Output ◽  
Peak Power ◽  
Anaerobic Power ◽  
Random Order ◽  
Peak Power Output ◽  
Fatigue Index ◽  
Double Blind ◽  
Minimum Power ◽  
Output Only

The purpose was to investigate the effects of CYP1A2 −163C > A polymorphism on the effects of acute caffeine (CAF) supplementation on anaerobic power in trained males. Sixteen trained males (age: 21.6 ± 7.1 years; height: 179.7 ± 5.6 cm; body mass: 72.15 ± 6.8 kg) participated in a randomized, double-blind, placebo (PLA) controlled crossover design. Participants supplemented with CAF (6 mg/kg of body mass) and an isovolumetric PLA (maltodextrin) in random order and separated by 7 days, before an all-out 30-s anaerobic cycling test to determine peak, average, and minimum power output, and fatigue index. Genomic deoxyribonucleic acid was extracted to identify each participants CYP1A2 genotype. Six participants expressed AA homozygote and 10 expressed C alleles. There was a treatment by genotype interaction for peak power output (p = .041, η2 = .265, observed power = 0.552) with only those expressing AA genotype showing improvement following CAF supplementation compared with PLA (CAF: 693 ± 108 watts vs. PLA: 655 ± 97 watts; p = .039), while no difference between treatments was noted in those expressing C alleles (CAF: 614 ± 92 watts vs. PLA: 659 ± 144 watts; p = .135). There were no other interaction or main effects for average or minimum power output, or fatigue index (p > .05). In conclusion, the ingestion of 6 mg/kg of CAF improved peak power output only in participants with the AA genotype compared with PLA; however, expression of the CYP1A2 did not influence average or minimum power output or fatigue index.

Power-Time, Force-Time, and Velocity-Time Curve Analysis during the Jump Squat: Impact of Load

2008 ◽  
Vol 24 (2) ◽  
pp. 112-120 ◽  
Author(s):  
Prue Cormie ◽  
Jeffrey M. McBride ◽  
Grant O. McCaulley
Keyword(s):  
Body Mass ◽  
Power Output ◽  
Peak Power ◽  
Peak Power Output ◽  
Power Development ◽  
Time Curve ◽  
Force Time ◽  
The Impact ◽  
External Loads ◽  
Male Subjects

The purpose of this investigation was to examine the impact of load on the power-, force- and velocity-time curves during the jump squat. The analysis of these curves for the entire movement at a sampling frequency of 200–500 Hz averaged across 18 untrained male subjects is the most novel aspect of this study. Jump squat performance was assessed in a randomized fashion across five different external loads: 0, 20, 40, 60, and 80 kg (equivalent to 0 ± 0, 18 ± 4, 37 ± 8, 55 ± 12, 74 ± 15% of 1RM, respectively). The 0-kg loading condition (i.e., body mass only) was the load that maximized peak power output, displaying a significantly (p≤ .05) greater value than the 40, 60, and 80 kg loads. The shape of the force-, power-, and velocity-time curves changed significantly as the load applied to the jump squat increased. There was a significantly greater rate of power development in the 0 kg load in comparison with all other loads examined. As the first comprehensive illustration of how the entire power-, force-, and velocity-time curves change across various loading conditions, this study provides extensive evidence that a load equaling an individuals body mass (i.e., external load = 0 kg) maximizes power output in untrained individuals during the jump squat.

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