Journal article
Training monitoring for resistance exercise: Theory and applications
Sports Medicine, Vol.46(5), pp.687-698
2016
Abstract
Resistance exercise is difficult to quantify owing to its inherent complexity with numerous training variables contributing to the training dose (type of exercise, load lifted, training volume, inter-set rest periods, and repetition velocity). In addition, the intensity of resistance training is often inadequately determined as the relative load lifted (% 1-repetition maximum), which does not account for the effects of inter-set recovery periods, repetition velocity, or the number of repetitions performed in each set at a given load. Methods to calculate the volume load associated with resistance training, as well as the perceived intensity of individual sets and entire training sessions have been shown to provide useful information regarding the actual training stimulus. In addition, questionnaires to subjectively assess how athletes are coping with the stressors of training and portable technologies to quantify performance variables such as concentric velocity may also be valuable. However, while several methods have been proposed to quantify resistance training, there is not yet a consensus regarding how these methods can be best implemented and integrated to complement each other. Therefore, the purpose of this review is to provide practical information for strength coaches to highlight effective methods to assess resistance training, and how they can be integrated into a comprehensive monitoring program.
Details
- Title
- Training monitoring for resistance exercise: Theory and applications
- Authors/Creators
- B.R. Scott (Author/Creator)G.M. Duthie (Author/Creator)H.R. Thornton (Author/Creator)B.J. Dascombe (Author/Creator)
- Publication Details
- Sports Medicine, Vol.46(5), pp.687-698
- Publisher
- Springer
- Identifiers
- 991005543761607891
- Copyright
- Springer
- Murdoch Affiliation
- School of Psychology and Exercise Science
- Language
- English
- Resource Type
- Journal article
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.172 Sports Science
- 1.172.414 Training Optimization
- Web Of Science research areas
- Sport Sciences
- ESI research areas
- Clinical Medicine