The relationship of leg volume (muscle plus bone) to maximal aerobic power output on a bicycle ergometer: The effects of anaemia, malnutrition and physical activity

1974 ◽  
Vol 1 (1) ◽  
pp. 47-55 ◽  
Author(s):  
C.T.M. Davies
Keyword(s):  
Physical Activity ◽  
Power Output ◽  
Aerobic Power ◽  
Bicycle Ergometer ◽  
Maximal Aerobic Power ◽  
Relationship Of ◽  
The Relationship ◽  
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.

A Study on the Relationship of Back Pain Prevalence, Physical Activity Type and Exercise Type in Middle-Age Korean Women

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 575
Author(s):  
Soung-Yob Rhi ◽  
Hak-Mo Ku ◽  
Hyun-Jin Kwon ◽  
Yeon-Soo Kim ◽  
Jae-Soon Chung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Middle Age ◽  
Korean Women ◽  
Activity Type ◽  
Pain Prevalence ◽  
Exercise Type ◽  
Relationship Of ◽  
The Relationship
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