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Sports Medicine

, Volume 42, Issue 8, pp 707–724 | Cite as

Effect of Respiratory Muscle Training on Exercise Performance in Healthy Individuals

A Systematic Review and Meta-Analysis
  • Sabine K. Illi
  • Ulrike Held
  • Irène Frank
  • Christina M. SpenglerEmail author
Systematic Review

Abstract

Objectives

Two distinct types of specific respiratory muscle training (RMT), i.e. respiratory muscle strength (resistive/threshold) and endurance (hyperpnoea) training, have been established to improve the endurance performance of healthy individuals. We performed a systematic review and meta-analysis in order to determine the factors that affect the change in endurance performance after RMT in healthy subjects.

Data sources

A computerized search was performed without language restriction in MEDLINE, EMBASE and CINAHL and references of original studies and reviews were searched for further relevant studies.

Review methods

RMT studies with healthy individuals assessing changes in endurance exercise performance by maximal tests (constant load, time trial, intermittent incremental, conventional [non-intermittent] incremental) were screened and abstracted by two independent investigators. A multiple linear regression model was used to identify effects of subjects’ fitness, type of RMT (inspiratory or combined inspiratory/expiratory muscle strength training, respiratory muscle endurance training), type of exercise test, test duration and type of sport (rowing, running, swimming, cycling) on changes in performance after RMT. In addition, a meta-analysis was performed to determine the effect of RMT on endurance performance in those studies providing the necessary data.

Results

The multiple linear regression analysis including 46 original studies revealed that less fit subjects benefit more from RMT than highly trained athletes (6.0% per 10mL · kg−1 · min−1 decrease in maximal oxygen uptake, 95% confidence interval [CI] 1.8, 10.2%; p = 0.005) and that improvements do not differ significantly between inspiratory muscle strength and respiratory muscle endurance training (p = 0.208), while combined inspiratory and expiratory muscle strength training seems to be superior in improving performance, although based on only 6 studies (+12.8% compared with inspiratory muscle strength training, 95% CI 3.6, 22.0%; p = 0.006). Furthermore, constant load tests (+16%, 95% CI 10.2, 22.9%) and intermittent incremental tests (+18.5%, 95% CI 10.8, 26.3%) detect changes in endurance performance better than conventional incremental tests (both p<0.001) with no difference between time trials and conventional incremental tests (p=0.286). With increasing test duration, improvements in performance are greater (+0.4% per minute test duration, 95% CI 0.1, 0.6%; p = 0.011) and the type of sport does not influence the magnitude of improvements (all p>0.05). The meta-analysis, performed on eight controlled trials revealed a significant improvement in performance after RMT, which was detected by constant load tests, time trials and intermittent incremental tests, but not by conventional incremental tests.

Conclusion

RMT improves endurance exercise performance in healthy individuals with greater improvements in less fit individuals and in sports of longer durations. The two most common types of RMT (inspiratory muscle strength and respiratory muscle endurance training) do not differ significantly in their effect, while combined inspiratory/expiratory strength training might be superior. Improvements are similar between different types of sports. Changes in performance can be detected by constant load tests, time trials and intermittent incremental tests only. Thus, all types of RMT can be used to improve exercise performance in healthy subjects but care must be taken regarding the test used to investigate the improvements.

Keywords

Respiratory Muscle Exercise Performance Inspiratory Muscle Incremental Test Inspiratory Muscle Training 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to thank Christoph Brändle and Dr. Alexander Akhmedov for translating the potentially relevant Japanese and Russian papers, respectively, Dr. Ruth Briggs for English editing, as well as the Swiss Federal Office of Sport (grant no. 11-11) and the Swiss National Science Foundation (grant no. 3200B0-116777) for providing financial support.

The authors have no conflicts of interest to declare that are directly relevant to the content of this article.

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Copyright information

© Springer International Publishing AG 2012

Authors and Affiliations

  • Sabine K. Illi
    • 1
    • 2
  • Ulrike Held
    • 3
  • Irène Frank
    • 1
    • 2
  • Christina M. Spengler
    • 1
    • 2
    Email author
  1. 1.Exercise Physiology, Institute of Human Movement SciencesUniversity and ETH ZurichZurichSwitzerland
  2. 2.Institute of Physiology and Center for Integrative Human Physiology (ZIHP)University of ZurichZurichSwitzerland
  3. 3.Horten Center for Patient-Oriented Research and Knowledge TransferUniversity of ZurichZurichSwitzerland

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