Assessing group-based changes in high-performance sport. Part 2: Effect sizes and embracing uncertainty through confidence intervals
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
The referenced article can be viewed here. Click for Downloadable Image
Athlete self-report measures (ASRM) can be a relatively simple and inexpensive means for determining an athlete’s training load and his or her subsequent responses to that training [20]. In fact, using ASRM, such as wellness questionnaires, is the most common method for monitoring athlete fatigue and recovery in high performance sport in New Zealand and Australia [28]. And for good reason, as we will soon discover.
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Evaluating athlete preparedness for competition demands, and understanding how prescribed training affects fitness and fatigue parameters, is of utmost importance for applied sport professionals. Routinely assessing heart rate recovery can provide pragmatic, cost-effective insights for these evaluations.
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Monitoring body composition in athletes is beneficial for a myriad of reasons. DXA, or dual-energy X-ray absorptometry, is one of many methods that can be used to assess body composition in athletes. How DXA works, its popularity, and sources and margin of error are reviewed in this article.
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