Literature DB >> 30058347

Does blood lactate predict the chronic adaptive response to training: A comparison of traditional and talk test prescription methods.

Nicholas Preobrazenski1, Jacob T Bonafiglia1, Matthew W Nelms1,1, Simo Lu1,1, Lauren Robins1,1, Camille LeBlanc1,1, Brendon J Gurd1.   

Abstract

The purpose of this study was to test the hypotheses (i) that interindividual variability in acute blood lactate responses during exercise at 65% of peak work rate (WRpeak; relative WRpeak protocol (REL)) will predict variability in the chronic responses to exercise training and (ii) that exercising at an intensity that causes uncomfortable speech production (negative talk test (TT) stage (NEG)) elicits high acute blood lactate responses and large adaptations to training. Twenty-eight participants completed 4 weeks of exercise training consisting of REL (n = 14) or NEG (TT, n = 14). Fifteen additional participants were assigned to a no-exercise control group (n = 15). In REL, acute blood lactate responses during the first training session significantly predicted changes in peak oxygen consumption (r = 0.69) after training. TT resulted in consistently high acute blood lactate responses. REL and TT improved (p < 0.05) peak oxygen consumption, WRpeak, and work rate at the onset of blood lactate accumulation (WROBLA). Despite nonsignificance, small to medium between-group effect sizes for changes in peak oxygen consumption, WRpeak, and WROBLA and a higher work rate, heart rate, rating of perceived exertion, and blood lactate during training at NEG support the potential superiority of TT over REL. When exercise is prescribed using a traditional method (a fixed percentage of WRpeak; REL), acute metabolic stress may partly explain the variance in the adaptations to training. In addition, TT elicited significant increases in peak oxygen consumption, WRpeak, and WROBLA, and although our small sample size limits our ability to confidently compare training adaptations between groups, our preliminary results suggest that future investigations with larger sample sizes should assess the potential superiority of TT over REL.

Entities:  

Keywords:  O; blood lactate; entraînement physique; exercise training; lactate sanguin; metabolic stress; stress métabolique; talk test; test de la parole

Year:  2018        PMID: 30058347     DOI: 10.1139/apnm-2018-0343

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  7 in total

Review 1.  Effects of Dietary Supplements on Adaptations to Endurance Training.

Authors:  Jeffrey A Rothschild; David J Bishop
Journal:  Sports Med       Date:  2020-01       Impact factor: 11.136

Review 2.  Molecular regulation of skeletal muscle mitochondrial biogenesis following blood flow-restricted aerobic exercise: a call to action.

Authors:  Nicholas Preobrazenski; Hashim Islam; Brendon J Gurd
Journal:  Eur J Appl Physiol       Date:  2021-04-08       Impact factor: 3.078

3.  Exploring Differences in Cardiorespiratory Fitness Response Rates Across Varying Doses of Exercise Training: A Retrospective Analysis of Eight Randomized Controlled Trials.

Authors:  Jacob T Bonafiglia; Nicholas Preobrazenski; Hashim Islam; Jeremy J Walsh; Robert Ross; Neil M Johannsen; Corby K Martin; Timothy S Church; Cris A Slentz; Leanna M Ross; William E Kraus; Glen P Kenny; Gary S Goldfield; Denis Prud'homme; Ronald J Sigal; Conrad P Earnest; Brendon J Gurd
Journal:  Sports Med       Date:  2021-03-11       Impact factor: 11.136

4.  Blood Lactate Concentration Is Not Related to the Increase in Cardiorespiratory Fitness Induced by High Intensity Interval Training.

Authors:  Todd A Astorino; Jamie L DeRevere; Theodore Anderson; Erin Kellogg; Patrick Holstrom; Sebastian Ring; Nicholas Ghaseb
Journal:  Int J Environ Res Public Health       Date:  2019-08-09       Impact factor: 3.390

5.  Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study.

Authors:  Camilla J Williams; Zhixiu Li; Nicholas Harvey; Rodney A Lea; Brendon J Gurd; Jacob T Bonafiglia; Ioannis Papadimitriou; Macsue Jacques; Ilaria Croci; Dorthe Stensvold; Ulrik Wisloff; Jenna L Taylor; Trishan Gajanand; Emily R Cox; Joyce S Ramos; Robert G Fassett; Jonathan P Little; Monique E Francois; Christopher M Hearon; Satyam Sarma; Sylvan L J E Janssen; Emeline M Van Craenenbroeck; Paul Beckers; Véronique A Cornelissen; Erin J Howden; Shelley E Keating; Xu Yan; David J Bishop; Anja Bye; Larisa M Haupt; Lyn R Griffiths; Kevin J Ashton; Matthew A Brown; Luciana Torquati; Nir Eynon; Jeff S Coombes
Journal:  J Biomed Sci       Date:  2021-05-13       Impact factor: 8.410

6.  Moving beyond threshold-based dichotomous classification to improve the accuracy in classifying non-responders.

Authors:  Jacob T Bonafiglia; Matthew W Nelms; Nicholas Preobrazenski; Camille LeBlanc; Lauren Robins; Simo Lu; Alexander Lithopoulos; Jeremy J Walsh; Brendon J Gurd
Journal:  Physiol Rep       Date:  2018-11

Review 7.  Risk of bias and reporting practices in studies comparing VO2max responses to sprint interval vs. continuous training: A systematic review and meta-analysis.

Authors:  Jacob T Bonafiglia; Hashim Islam; Nicholas Preobrazenski; Brendon J Gurd
Journal:  J Sport Health Sci       Date:  2021-03-17       Impact factor: 13.077

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.