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Current athlete definitions are inadequate. This study proposes a standardized algorithm classifying exercising individuals by exercise intent, volume, and competition level for better health outcome analysis.

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Area of Science:

  • Sports Medicine
  • Exercise Physiology
  • Public Health

Background:

  • Existing athlete definitions are imprecise, subjective, and fail to encompass most physically active individuals.
  • A need exists for standardized, granular classification of exercising patients to enhance understanding of exercise-health relationships.

Discussion:

  • Proposes a simplified algorithm categorizing exercising patients based on exercise intent, weekly volume (hours/week), and competition level.
  • Suggests further classification using metabolic equivalent-hours per week to quantify activity intensity and volume.

Key Insights:

  • A formal framework for classifying athletes and quantifying exercise is crucial.
  • Standardized definitions will enable more precise associations between physical activity and health outcomes.

Outlook:

  • This classification system can refine research on exercise's impact on health.
  • Facilitates better clinical assessments and personalized exercise recommendations.