Literature DB >> 35041180

Effect of Interval Training on the Factors Influencing Maximal Oxygen Consumption: A Systematic Review and Meta-Analysis.

Michael A Rosenblat1,2, Cesare Granata3,4, Scott G Thomas5.   

Abstract

BACKGROUND: The maximal rate of oxygen consumption (VO2max) is an important measure in exercise science as it is an indicator of cardiorespiratory fitness. Individual studies have identified central and peripheral adaptions to interval training that may underlie improvements in VO2max, but there is no compilation of results.
OBJECTIVE: We aimed to systematically review the adaptive responses to high-intensity interval training (HIIT) and sprint interval training (SIT) on the central and peripheral factors influencing VO2max in healthy individuals. DATA SOURCES: SPORTDiscus and MEDLINE (up to and including 13 June, 2020) were explored to conduct the literature search. STUDY SELECTION: Reviewed studies met the following criteria: (1) were in the English language; (2) prospective in nature; (3) included at least three interval sessions or were at least 1 week in duration; (4) contained HIIT or SIT; (5) involved participants between the ages of 18 and 65 years; and (6) included at least one of the following central (blood volume, plasma volume, hemoglobin mass, left ventricular mass, maximal stroke volume, maximal cardiac output) or peripheral factors (capillary density, maximal citrate synthase activity, mitochondrial respiration associated with VO2max).
RESULTS: Thirty-two studies (369 participants, 49 were female) were included in the quantitative analyses, consisting of both HIIT (n = 18) and SIT (n = 17) interventions. There were only statistically significant changes in hematological measures (plasma volume) following HIIT. There was a significant increase in left ventricular mass following HIIT (7.4%, p < 0.001) and SIT (5.3%, p = 0.007) in inactive individuals, though the change following SIT may be misleading. There was only a significant increase in maximal stroke volume (14.1%, p = 0.015) and maximal cardiac output (12.6%, p = 0.002) following HIIT. In addition to central factors, there was a significant increase in capillary density (13.8%, p < 0.001) following SIT in active individuals. With respect to maximal citrate synthase activity, there were improvements following HIIT (20.8%, p < 0.001) and SIT (15.7%, p < 0.001, I2 = 97%) in active individuals. The results for mitochondrial respiration suggested that there was no statistically significant improvement following HIIT (5.0%, p = 0.585).
CONCLUSIONS: Improvements in the central and peripheral factors influencing VO2max were dependent on the interval type. Only HIIT led to a statistically significant improvement in cardiac function. Both HIIT and SIT increased maximal citrate synthase activity, while changes in other peripheral measures (capillary density, mitochondrial respiration) only occurred with SIT.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2022        PMID: 35041180     DOI: 10.1007/s40279-021-01624-5

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.928


  86 in total

Review 1.  Interval training for performance: a scientific and empirical practice. Special recommendations for middle- and long-distance running. Part I: aerobic interval training.

Authors:  L V Billat
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

2.  Effects of aerobic endurance training status and specificity on oxygen uptake kinetics during maximal exercise.

Authors:  Fabrizio Caputo; Benedito Sérgio Denadai
Journal:  Eur J Appl Physiol       Date:  2004-07-10       Impact factor: 3.078

Review 3.  Physiological adaptations to low-volume, high-intensity interval training in health and disease.

Authors:  Martin J Gibala; Jonathan P Little; Maureen J Macdonald; John A Hawley
Journal:  J Physiol       Date:  2012-01-30       Impact factor: 5.182

Review 4.  Effectiveness of High-Intensity Interval Training (HIT) and Continuous Endurance Training for VO2max Improvements: A Systematic Review and Meta-Analysis of Controlled Trials.

Authors:  Zoran Milanović; Goran Sporiš; Matthew Weston
Journal:  Sports Med       Date:  2015-10       Impact factor: 11.136

Review 5.  Endurance training and maximal oxygen consumption with ageing: Role of maximal cardiac output and oxygen extraction.

Authors:  David Montero; Candela Díaz-Cañestro
Journal:  Eur J Prev Cardiol       Date:  2015-11-09       Impact factor: 7.804

6.  Physiologic left ventricular cavity dilatation in elite athletes.

Authors:  A Pelliccia; F Culasso; F M Di Paolo; B J Maron
Journal:  Ann Intern Med       Date:  1999-01-05       Impact factor: 25.391

Review 7.  Limiting factors for maximum oxygen uptake and determinants of endurance performance.

Authors:  D R Bassett; E T Howley
Journal:  Med Sci Sports Exerc       Date:  2000-01       Impact factor: 5.411

Review 8.  Endurance Training and V˙O2max: Role of Maximal Cardiac Output and Oxygen Extraction.

Authors:  David Montero; Candela Diaz-Cañestro; Carsten Lundby
Journal:  Med Sci Sports Exerc       Date:  2015-10       Impact factor: 5.411

9.  Effect of High-Intensity Interval Training Versus Sprint Interval Training on Time-Trial Performance: A Systematic Review and Meta-analysis.

Authors:  Michael A Rosenblat; Andrew S Perrotta; Scott G Thomas
Journal:  Sports Med       Date:  2020-06       Impact factor: 11.136

Review 10.  Rate and mechanism of maximal oxygen consumption decline with aging: implications for exercise training.

Authors:  Steven Hawkins; Robert Wiswell
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

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  1 in total

1.  Maximum aerobic speed, maximum oxygen consumption, and running spatiotemporal parameters during an incremental test among middle- and long-distance runners and endurance non-running athletes.

Authors:  Arturo Casado; José Luis Tuimil; Xavier Iglesias; Miguel Fernández-Del-Olmo; Pedro Jiménez-Reyes; Rafael Martín-Acero; Ferran A Rodríguez
Journal:  PeerJ       Date:  2022-10-05       Impact factor: 3.061

  1 in total

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