Literature DB >> 1642716

Pulmonary gas exchange dynamics and the tolerance to muscular exercise: effects of fitness and training.

B J Whipp1, S A Ward.   

Abstract

Oxygen uptake (VO2) kinetics are generally agreed to be first-order for moderate work rates with a time constant (tau VO2) that is thought to reflect the kinetics of intramuscular creatine phosphate depletion. However, when there is a concomitant lactic acidosis, tau VO2 is appreciably longer, reflecting an additional, delayed and slowed component that leads to VO2S greater than the aerobic equivalent of that work rate and which therefore invalidates current techniques for O2 deficit estimation. This "excess" VO2 is no more than approximately 250-300 ml/min at work rates for which [lactate] and [H+]a can be stabilized. At higher work rates which demand sustained and progressive increases in [lactate] and [H+]a, however, VO2 also continues to increase progressively, yielding excess VO2S greater than 11/min at exhaustion. The trajectory of excess VO2 therefore is to the maximum VO2: the resulting exercise limitation becomes progressively more pronounced the higher the work rate, which accounts for the hyperbolic character of the power-duration curve. Factors which speed VO2 kinetics in this domain reduce the excess VO2 mechanism and lead to improved exercise performance. We have demonstrated that, in addition to appropriately-designed training regimens, induction of a metabolic acidosis prior to exercise speeds VO2 kinetics at high work rates, reducing the increase in both [lactate] and [H+]a and reducing the CO2 load to ventilation during the transient phase of the work. The optimum procedure for inducing these improved pulmonary gas-exchange kinetics, however, remains to be determined.

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Mesh:

Year:  1992        PMID: 1642716     DOI: 10.2114/ahs1983.11.207

Source DB:  PubMed          Journal:  Ann Physiol Anthropol        ISSN: 0287-8429


  10 in total

1.  Aerobic system analysis based on oxygen uptake and hip acceleration during random over-ground walking activities.

Authors:  Thomas Beltrame; Richard L Hughson
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-11-16       Impact factor: 3.619

2.  A 'ramp-sprint' protocol to characterise indices of aerobic function and exercise intensity domains in a single laboratory test.

Authors:  Scott R Murgatroyd; Lindsey A Wylde; Daniel T Cannon; Susan A Ward; Harry B Rossiter
Journal:  Eur J Appl Physiol       Date:  2014-06-03       Impact factor: 3.078

3.  Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models.

Authors:  Thomas Beltrame; Robert Amelard; Alexander Wong; Richard L Hughson
Journal:  J Appl Physiol (1985)       Date:  2017-06-08

4.  Physical Exercise as an Adjunct Therapy in Sleep Apnea-An Open Trial.

Authors:  Valentina Giebelhaus; Kingman P. Strohl; Werner Lormes; Manfred Lehmann; Nikolaus Netzer
Journal:  Sleep Breath       Date:  2000       Impact factor: 2.816

5.  Cocoa-flavanols enhance moderate-intensity pulmonary [Formula: see text] kinetics but not exercise tolerance in sedentary middle-aged adults.

Authors:  Daniel G Sadler; Richard Draijer; Claire E Stewart; Helen Jones; Simon Marwood; Dick H J Thijssen
Journal:  Eur J Appl Physiol       Date:  2021-05-10       Impact factor: 3.078

6.  Dissociating external power from intramuscular exercise intensity during intermittent bilateral knee-extension in humans.

Authors:  Matthew J Davies; Alan P Benson; Daniel T Cannon; Simon Marwood; Graham J Kemp; Harry B Rossiter; Carrie Ferguson
Journal:  J Physiol       Date:  2017-09-02       Impact factor: 5.182

7.  Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains.

Authors:  Matthew I Black; Andrew M Jones; Jamie R Blackwell; Stephen J Bailey; Lee J Wylie; Sinead T J McDonagh; Christopher Thompson; James Kelly; Paul Sumners; Katya N Mileva; Joanna L Bowtell; Anni Vanhatalo
Journal:  J Appl Physiol (1985)       Date:  2016-12-22

8.  Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living.

Authors:  T Beltrame; R Amelard; A Wong; R L Hughson
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

Review 9.  The maximal metabolic steady state: redefining the 'gold standard'.

Authors:  Andrew M Jones; Mark Burnley; Matthew I Black; David C Poole; Anni Vanhatalo
Journal:  Physiol Rep       Date:  2019-05

10.  Steady-state [Formula: see text] above MLSS: evidence that critical speed better represents maximal metabolic steady state in well-trained runners.

Authors:  Rebekah J Nixon; Sascha H Kranen; Anni Vanhatalo; Andrew M Jones
Journal:  Eur J Appl Physiol       Date:  2021-08-05       Impact factor: 3.078

  10 in total

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