Literature DB >> 21563028

A 'new' method to normalise exercise intensity.

K E Lansley1, F J Dimenna, S J Bailey, A M Jones.   

Abstract

Exercise intensity has traditionally been described, prescribed and normalised as a fraction (%) of the maximal oxygen uptake ( V˙O (2max)). We hypothesised that the extent of inter-subject variability in the physiological responses to exercise would be greater when work rates were prescribed using % V˙O (2max) as compared to % 'delta' (Δ), a method of normalising exercise intensity in which both the gas exchange threshold (GET) and the V˙O (2max) are considered. 9 men completed a ramp incremental test on a cycle ergometer to establish the GET and V˙O (2max). Subsequently, subjects completed 6 constant-work-rate exercise bouts at intensities corresponding to: 50%, 70% and 90% V˙O (2max); and 60% GET, 40% Δ (that is, 40% of the difference between the GET and V˙O (2max)) and 80% Δ. For all bouts, exercise was continued for 20 min or until task failure if this occurred sooner. When exercise was prescribed using the % Δ concept, there were significant reductions in the inter-subject variability in pulmonary gas exchange, blood lactate accumulation, heart rate, and ratings of perceived exertion (all P < 0.05). In conclusion, the % Δ concept resulted in more consistent inter-subject physiological responses to constant-work-rate exercise and should be used in preference to % V˙O (2max) to more effectively normalise exercise intensity. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2011        PMID: 21563028     DOI: 10.1055/s-0031-1273754

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  19 in total

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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.  Estimating the Lactate Threshold Using Wireless Near-Infrared Spectroscopy and Threshold Detection Analyses.

Authors:  Trent E Cayot; Shara G Robinson; Lindsay E Davis; Paul A Bender; John R Thistlethwaite; Craig E Broeder; Jakob D Lauver
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4.  Temporal characteristics of exercise-induced diaphragmatic fatigue.

Authors:  Bruno Archiza; Joseph F Welch; Caitlin M Geary; Grayson P Allen; Audrey Borghi-Silva; A William Sheel
Journal:  J Appl Physiol (1985)       Date:  2017-12-28

5.  Carbohydrate supplementation does not blunt the prolonged exercise-induced reduction of in vivo immunity.

Authors:  Glen Davison; Corinna Kehaya; Bethany C Diment; Neil P Walsh
Journal:  Eur J Nutr       Date:  2015-07-11       Impact factor: 5.614

6.  The effect of exercise intensity and cardiorespiratory fitness on the kinetic response of middle cerebral artery blood velocity during exercise in healthy adults.

Authors:  Max E Weston; Alan R Barker; Owen W Tomlinson; Jeff S Coombes; Tom G Bailey; Bert Bond
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7.  Critical speed estimated by statistically appropriate fitting procedures.

Authors:  Davide Malatesta; Fabio Borrani; Aurélien Patoz; Romain Spicher; Nicola Pedrani
Journal:  Eur J Appl Physiol       Date:  2021-04-03       Impact factor: 3.078

8.  Physical activity for cancer survivors: meta-analysis of randomised controlled trials.

Authors:  Daniel Y T Fong; Judy W C Ho; Bryant P H Hui; Antoinette M Lee; Duncan J Macfarlane; Sharron S K Leung; Ester Cerin; Wynnie Y Y Chan; Ivy P F Leung; Sharon H S Lam; Aliki J Taylor; Kar-keung Cheng
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Review 9.  Exercise and the immune system: taking steps to improve responses to cancer immunotherapy.

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Journal:  J Immunother Cancer       Date:  2021-07       Impact factor: 13.751

10.  Sex differences in cardiovascular function during submaximal exercise in humans.

Authors:  Courtney M Wheatley; Eric M Snyder; Bruce D Johnson; Thomas P Olson
Journal:  Springerplus       Date:  2014-08-20
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