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Identification of factors important to study quality in exercise performance studies
Mark Guosheng Liu1, Jacqueline Raymond2, Ollie Jay3
1Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Australia.
Researchers identified key factors for high-quality exercise performance studies across aerobic, anaerobic, and strength domains. These findings will help improve research standards and clinical practices in exercise science.
Area of Science:
- Exercise Science
- Sports Medicine
- Human Performance
Background:
- Ensuring quality in exercise performance research is crucial for reliable findings.
- Factors influencing exercise performance, such as diet and body composition, require careful consideration.
- Previous research has not comprehensively identified all critical quality indicators across different exercise domains.
Purpose of the Study:
- To identify and define factors critical for ensuring quality in exercise performance studies.
- To specifically address quality indicators within aerobic, anaerobic, and strength exercise research.
- To investigate factors related to diet and body composition relevant to exercise performance studies.
Main Methods:
- A cross-sectional study design was employed, utilizing focus groups and a modified Delphi method.
- Exercise science academics and students generated initial quality factors.
- International researchers refined and reached consensus on these factors through a two-round Delphi survey.
Main Results:
- A total of 22 generic and 71 domain-specific factors were initially generated.
- Consensus was reached on 19 generic factors and 66 domain-specific factors after two Delphi rounds.
- Key identified factors included exercise testing protocols, equipment standardization, and intervention compliance.
Conclusions:
- This study successfully identified numerous discipline-specific factors crucial for exercise performance study quality.
- The findings can inform the development of a standardized tool for evaluating study quality.
- These identified factors can also guide best practices in clinical settings for exercise interventions.
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