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Titre : | The use of a pitch count estimator to calculate exposure in collegiate baseball pitchers (2015) |
Auteurs : | Ellen Shanley ; Lane Bailey ; Michael P. Sandago ; et al. |
Type de document : | Article |
Dans : | Physical therapy in sport (2015/4, November 2015) |
Article en page(s) : | p. 344-348 |
Langues: | Anglais |
Résumé : |
Objective Excessive pitch counts have been associated with arm pain in pitchers. Tracking of exposure is difficult based on participation on multiple teams and variability in organizational rules. Statisticians have estimated exposure for professional pitchers using pitch count estimators. Our objective was to determine the utility of pitch count estimators at the collegiate level. Design and participants Cohort; 29 collegiate pitchers. Methods The team athletic trainer collected game pitch count data. The total number of batters faced (PA), strike outs (SO), and walks (BB) were recorded from the box score and entered into the pitch count formula (3.3*PA + 1.5*SO + 2.2*BB) to estimate pitch counts. Intraclass correlation coefficients (ICCs(2,1)) and standard error of measurement (SEM), were used to examine the agreement between actual and estimated pitch counts. Results The mean pitch count was correlated with the estimated pitch count (628 + 476vs.603 + 426; r = .99, p Conclusions The estimator provides a method of quantifying exposure for pitchers to help plan safe participation and control for confounding factors when attempting to understand the risks of pitching. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S1466853X15000085 |