विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बैनिस्टर TRIMP× | तीव्र-दीर्घकालिक कार्यभार अनुपात× | |
|---|---|---|
| क्षेत्र | खेल विज्ञान | खेल विज्ञान |
| परिवार | Hypothesis test | Hypothesis test |
| उद्भव वर्ष≠ | 1975 | 2016 |
| प्रवर्तक≠ | Eric Banister | Tim Gabbett |
| प्रकार≠ | mathematical modeling | workload monitoring |
| मौलिक स्रोत≠ | Banister, E. W., Calvert, T. W., Savage, M. V., & Bach, T. (1975). A systems model of training responses and its relationship to muscular strength. Transactions of the ASME, 97(3), 177-183. link ↗ | Gabbett, T. J. (2016). The training-injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273-280. DOI ↗ |
| उपनाम | TRIMP, training impulse, fitness-fatigue model | ACWR, workload ratio, training load balance |
| संबंधित | 3 | 3 |
| सारांश≠ | The Training Impulse (TRIMP) model, developed by Eric Banister and colleagues (1975), quantifies the physiological stimulus of a training session by combining duration and intensity. The Banister fitness-fatigue model proposes that training effects on performance follow two opposing dynamics: fitness (beneficial) accumulates with time constant tau_f (~42 days) and fatigue (temporary decrement) accumulates faster but decays quickly (tau_d ~5-10 days). By tracking TRIMP and modeling these two processes, coaches can predict performance trajectories and optimize training load. Although superseded by newer frameworks, the Banister model remains influential and intuitive. | The acute-chronic workload ratio (ACWR) is the ratio of acute training load (typically the past 1 week) to chronic training load (typically the rolling 4-week average). Formalized by Tim Gabbett (2016), ACWR is a widely adopted metric for predicting injury and illness risk in sports. The logic is straightforward: rapid increases in training load—when acute load spikes far above what the athlete has adapted to—exceed tissue tolerance and increase injury risk. Conversely, maintaining ACWR within optimal ranges (typically 0.8-1.3) is associated with better performance and lower injury incidence. ACWR monitoring is now standard in elite sports for load management. |
| ScholarGateडेटासेट ↗ |
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