Effects of hypoxic training on normoxic maximal aerobic power output

1974 ◽  
Vol 33 (3) ◽  
pp. 227-236 ◽  
Author(s):  
C. T. M. Davies ◽  
A. J. Sargeant
Keyword(s):  
Power Output ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Hypoxic Training ◽  
Aerobic Power Output

Does Cerebral Blood Flow Limit Maximal Aerobic Power Output?

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 82
Author(s):  
Andrew W. Subudhi ◽  
J Tod Olin ◽  
Andrew C. Dimmen ◽  
Bengt Kayser ◽  
Robert C. Roach
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Power Output ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Flow Limit ◽  
Aerobic Power Output

Physiological and Mechanical Indices Serving the New Cross-Country Olympic Mountain Bike Performance

2020 ◽  
pp. 1-6
Author(s):  
Arnaud Hays ◽  
Caroline Nicol ◽  
Denis Bertin ◽  
Romain Hardouin ◽  
Jeanick Brisswalter
Keyword(s):  
Power Output ◽  
Aerobic Power ◽  
Multiple Regression Model ◽  
Maximal Aerobic Power ◽  
Maximum Power ◽  
Active Recovery ◽  
Mountain Bike ◽  
Testing Protocol ◽  
Cross Country ◽  
Aerobic Power Output

Objectives: To identify relevant physiological, mechanical, and strength indices to improve the evaluation of elite mountain bike riders competing in the current Cross-Country Olympic (XCO) format. Methods: Considering the evolution of the XCO race format over the last decade, the present testing protocol adopted a battery of complementary laboratory cycling tests: a maximal aerobic consumption, a force–velocity test, and a multi-short-sprint test. A group of 33 elite-level XCO riders completed the entire testing protocol and at least 5 international competitions. Results: Very large correlations were found between the XCO performance and maximal aerobic power output (r = .78; P < .05), power at the second ventilation threshold (r = .83; P < .05), maximal pedaling force (r = .77; P < .05), and maximum power in the sixth sprint (r = .87; P < .05) of the multi-short-sprint test. A multiple regression model revealed that the normalized XCO performance was predicted at 89.2% (F3,29 = 89.507; r = .95; P < .001) by maximum power in the sixth sprint (β = 0.602; P < .001), maximal pedaling rate (β = 0.309; P < .001), and relative maximal aerobic power output (β = 0.329; P < .001). Discussion: Confirming our expectations, the current XCO performance was highly correlated with a series of physiological and mechanical parameters reflecting the high level of acyclic and intermittent solicitation of both aerobic and anaerobic metabolic pathways and the required qualities of maximal force and velocity. Conclusion: The combination of physiological, mechanical, and strength characteristics may thus improve the prediction of elite XCO cyclists’ performance. It seems of interest to evaluate the ability to repeatedly produce brief intensive efforts with short active recovery periods.

Power Output and Pacing During International Cross-Country Mountain Bike Cycling

2018 ◽  
Vol 13 (9) ◽  
pp. 1243-1249 ◽  
Author(s):  
Cyril Granier ◽  
Chris R. Abbiss ◽  
Anaël Aubry ◽  
Yvon Vauchez ◽  
Sylvain Dorel ◽  
...  
Keyword(s):  
Power Output ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Mass Ratio ◽  
Mountain Bike ◽  
Fast Start ◽  
World Class ◽  
Physiological Profiles ◽  
Road Cyclists ◽  
Cross Country

Purpose: To characterize the physiological profiles of elite cross-country mountain-bike (XCO-MTB) cyclists and to examine their pacing and power-output (PO) distribution during international races. Methods: Over 2 competitive seasons, 8 male XCO-MTB cyclists (VO2max 79.9 [5.2] mL·min−1·kg−1, maximal aerobic power [MAP] 411 [18] W and 6.3 [0.4] W·kg−1) regularly undertook incremental tests to assess their PO and heart rate (HR) at first and second ventilatory thresholds (VT1 and VT2) and at VO2max. During the same period, their PO, HR, speed, and cadence were recorded over 13 international races (total of 30 recorded files). Results: Mean PO, speed, cadence, and HR during the races were 283 (22) W (4.31 [0.32] W·kg−1, 68% [5%] MAP), 19.7 (2.1) km·h−1, 68 (8) rpm, and 172 (11) beats·min−1 (91% [2%] HRmax), respectively. The average times spent below 10% of MAP, between 10% of MAP and VT1, between VT1 and VT2, between VT2 and MAP, and above MAP were 25% (5%), 21% (4%), 13% (3%), 16% (3%), and 26% (5%), respectively. Both speed and PO decreased from the start loop to lap 1 before stabilizing until the end of the race.Conclusions: Elite off-road cyclists demonstrated typical values of world-class endurance cyclists with an excellent power-to-mass ratio. This study demonstrated that XCO-MTB races are performed at higher intensities than reported in previous research and are characterized by a fast start followed by an even pace.

The Cycling Physiology of Miguel Indurain 14 Years After Retirement

2012 ◽  
Vol 7 (4) ◽  
pp. 397-400 ◽  
Author(s):  
Iñigo Mujika
Keyword(s):  
Oxygen Uptake ◽  
Blood Lactate ◽  
Body Mass ◽  
Power Output ◽  
Aerobic Power ◽  
Cycle Ergometer ◽  
Cycle Ergometer Test ◽  
Age Related ◽  
The Individual ◽  
Aerobic Power Output

Age-related fitness declines in athletes can be due to both aging and detraining. Very little is known about the physiological and performance decline of professional cyclists after retirement from competition. To gain some insight into the aging and detraining process of elite cyclists, 5-time Tour de France winner and Olympic Champion Miguel Indurain performed a progressive cycle-ergometer test to exhaustion 14 y after retirement from professional cycling (age 46 y, body mass 92.2 kg). His maximal values were oxygen uptake 5.29 L/min (57.4 mL · kg−1 · min−1), aerobic power output 450 W (4.88 W/kg), heart rate 191 beats/min, blood lactate 11.2 mM. Values at the individual lactate threshold (ILT): 4.28 L/min (46.4 mL · kg−1 · min−1), 329 W (3.57 W/kg), 159 beats/min, 2.4 mM. Values at the 4-mM onset of blood lactate accumulation (OBLA): 4.68 L/min (50.8 mL · kg−1 · min−1), 369 W (4.00 W/kg), 170 beats/min. Average cycling gross efficiency between 100 and 350 W was 20.1%, with a peak value of 22.3% at 350 W. Delta efficiency was 27.04%. Absolute maximal oxygen uptake and aerobic power output declined by 12.4% and 15.2% per decade, whereas power output at ILT and OBLA declined by 19.8% and 19.2%. Larger declines in maximal and submaximal values relative to body mass (19.4–26.1%) indicate that body composition changed more than aerobic characteristics. Nevertheless, Indurain’s absolute maximal and submaximal oxygen uptake and power output still compare favorably with those exhibited by active professional cyclists.

Variability in Power Output During Cycling in International Olympic-Distance Triathlon

2014 ◽  
Vol 9 (4) ◽  
pp. 732-734 ◽  
Author(s):  
Naroa Etxebarria ◽  
Shaun D’Auria ◽  
Judith M. Anson ◽  
David B. Pyne ◽  
Richard A. Ferguson
Keyword(s):  
Body Mass ◽  
Power Output ◽  
Coefficient Of Variation ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Mean Power ◽  
Large Power ◽  
Elite Level ◽  
The Mean ◽  
Mean Power Output

Purpose:The patterns of power output in the ~1-h cycle section of Olympic-distance triathlon races are not well documented. Here the authors establish a typical cycling-race profile derived from several International Triathlon Union elite-level draftinglegal triathlon races.Methods:The authors collated 12 different race power profiles from elite male triathletes (N = 5, age 25 ± 5 y, body mass 65.5 ± 5.6 kg; mean ± SD) during 7 international races. Power output was recorded using SRM cranks and analyzed with proprietary software.Results:The mean power output was 252 ± 33 W, or 3.9 ± 0.5 W/kg in relative terms, with a coefficient of variation of 71% ± 13%. Normalized power (power output an athlete could sustain if intensity were maintained constant without any variability) for the entire cycle section was 291 ± 29 W, or 40 ± 13 W higher than the actual mean power output. There were 34 ± 14 peaks of power output above 600 W and ~18% time spent at >100% of maximal aerobic power.Conclusion:Cycling during Olympic-distance triathlon, characterized by frequent and large power variations including repeat supramaximal efforts, equates to a higher workload than cycling at constant power.

Dependence of the Nature of the Pedaling Activity on Maximal Aerobic Power in Cycling

2017 ◽  
Vol 12 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Anthony Bouillod ◽  
Julien Pinot ◽  
Flavien Soenen ◽  
Theo Ouvrard ◽  
Frederic Grappe
Keyword(s):  
Exercise Test ◽  
Environmental Conditions ◽  
Power Output ◽  
Aerobic Power ◽  
Cycle Ergometer ◽  
Maximal Aerobic Power ◽  
Limits Of Agreement ◽  
Incremental Test ◽  
Incremental Exercise Test ◽  
Adaptation To Training

Purpose:To analyze the effect of the pedaling activity in different 4-min time trials (TT4s) (laboratory and field conditions) and compare TT4 and maximal aerobic power (MAP) determined from the classical incremental exercise test in laboratory. It was hypothesized that the exercises performed on the field would determine higher physical (power output [PO]) and mental involvements due to different environmental conditions.Methods:Sixteen male cyclists underwent an incremental test to exhaustion and 3 TT4s under different conditions: cycle ergometer (CE), level ground (LG), and uphill (UP).Results:Correlation was observed for PO with a trivial effect size and narrow limits of agreement between MAP and CE TT4 (r = .96, P < .001). The comparison between the CE, LG, and UP tests indicates that PO was significantly higher in UP than in CE (+8.0%, P < .001) and LG (+11.0%, P < .001).Conclusions:The results suggest that PO depends on the nature of the pedaling activity. Moreover, PO under CE TT4 is a relevant predictor of MAP. It seems important to measure MAP by taking into account the cycling conditions, considering that coaches and scientists use this parameter to assess the aerobic potential of athletes and determine the exercise intensities useful for monitoring adaptation to training.

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