Monitoring Training Effects in Athletes: A Multidimensional Framework for Decision-Making - PubMed
3 hours ago
- #Training Effects
- #Athlete Monitoring
- #Decision-Making
- Athlete monitoring supports training and recovery decisions but faces challenges like data quality and interpretation.
- Monitoring is defined as repeated, systematic data collection to track changes over time, distinguishing it from assessment.
- Readiness is an operational proxy for training effects, aiding day-to-day decision-making when interpreted longitudinally.
- The Minimal, Adequate, and Accurate framework guides tool selection for economical, sufficient, and valid monitoring.
- Tools and metrics are categorized by primary constructs: training load, athlete state, and training response.
- Practical considerations include neuromuscular, subjective, physiological, biochemical, and sleep-related indicators.
- Individualized monitoring uses athlete-specific baselines and distribution-based thresholds for decision-making.
- Monitoring should function as a decision-support process, not a standalone determinant of performance outcomes.