Sports Medicine

, Volume 35, Issue 10, pp 841–851 | Cite as

Designing Resistance Training Programmes to Enhance Muscular Fitness

A Review of the Acute Programme Variables
  • Stephen P. Bird
  • Kyle M. Tarpenning
  • Frank E. Marino
Review Article

Abstract

The popularity of resistance training has grown immensely over the past 25 years, with extensive research demonstrating that not only is resistance training an effective method to improve neuromuscular function, it can also be equally effective in maintaining or improving individual health status. However, designing a resistance training programme is a complex process that incorporates several acute programme variables and key training principles. The effectiveness of a resistance training programme to achieve a specific training outcome (i.e. muscular endurance, hypertrophy, maximal strength, or power) depends on manipulation of the acute programme variables, these include: (i) muscle action; (ii) loading and volume; (iii) exercise selection and order; (iv) rest periods; (v) repetition velocity; and (vi) frequency. Ultimately, it is the acute programme variables, all of which affect the degree of the resistance training stimuli, that determine the magnitude to which the neuromuscular, neuroendocrine and musculoskeletal systems adapt to both acute and chronic resistance exercise. This article reviews the available research that has examined the application of the acute programme variables and their influence on exercise performance and training adaptations. The concepts presented in this article represent an important approach to effective programme design. Therefore, it is essential for those involved with the prescription of resistance exercise (i.e. strength coaches, rehabilitation specialists, exercise physiologists) to acquire a fundamental understanding of the acute programme variables and the importance of their practical application in programme design.

Keywords

Resistance Training Resistance Exercise Muscular Strength Resistance Training Programme Skeletal Muscle Growth 
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

This research was funded by an Australian Postgraduate Award protocol # 03/144. The authors have no conflicts of interest that are directly relevant to the content of this review. In memory of the late Dr Kyle Tarpenning.

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Copyright information

© Adis Data Information BV 2005

Authors and Affiliations

  • Stephen P. Bird
    • 1
  • Kyle M. Tarpenning
    • 1
  • Frank E. Marino
    • 1
  1. 1.School of Human Movement StudiesCharles Sturt UniversityBathurstAustralia

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