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dc.contributor.authorPapadakis, Zacharias
dc.contributor.authorPadgett, Robert N.
dc.contributor.authorStamatis, Andreas
dc.contributor.authorKarasch, Richard A.
dc.date.accessioned2021-10-25T17:49:32Z
dc.date.available2021-10-25T17:49:32Z
dc.date.issued2021-03
dc.identifier.citationPapadakis, Z., Padgett, R. N., Stamatis, A., & Karasch, R. A. (2021). Baseball performance via the lens of anthropometric testing, fitness metrics, and statistics: A longitudinal cross-sectional study. Current Orthopaedic Practice, 32(2), 151–160. https://doi.org/10.1097/BCO.0000000000000962en_US
dc.identifier.eissn1941-7551
dc.identifier.doi10.1097/bco.0000000000000962
dc.identifier.urihttp://hdl.handle.net/20.500.12648/6993
dc.description.abstractBackground: Anthropometric testing (AT) and fitness metrics (FM) are contributing factors for success in sports. Limited evidence exists regarding longitudinal baseball AT or FM roles on baseball performance statistics (PS). AT, FM, and PS associations were examined for 5 yr to create a performance model. Methods: Eighty collegiate Division I players participated in this study. Height, mass, and body fat percentage (BF%) were selected as AT variables of interest. Grip strength (GS), one repetition maximum squat (1RMSQ), and vertical-jump height were selected for FM. Batting average percentage (AVG), slugging percentage (SLG), on-base percentage (OBP) baseball statistics were selected as offensive PS. Earned run average (ERA), batting average against percentage (B/ AVG), and strike-out per innings pitched for 9 innings (SO/IP)*9 were selected for defensive PS. Results: Offensive (r=−0.15, P<0.005; rs=−0.17, P<0.001) and defensive (r =−0.253, P<0.001; rs=−0.314, P<0.001) statistics correlated with BF%. Offensive (r =0.26, P<0.001; rs=0.43, P<0.001) and defensive (r =0.39, P <0.001) statistics correlated with GS. Offensive (r =0.26, P<0.001; rs=0.43, P <0.001) and defensive (r =0.27, P <0.001) statistics correlated with 1RMSQ. Offensive statistics AVG (R2=0.48) and SLG (R2=0.46) were explained by 1RMSQ. For defensive statistics, 1RMSQ was the best fit for (SO/IP)*9 (R2=0.43) and B/AVG (R2=0.52), and GS was the best fit for ERA (R2=0.39). Squat and time interaction for B/AVG was significant (P=0.04). Conclusions: Baseball PS are associated with 1RMSQ and GS. Time moderates the effect of squat training on B/AVG. Pitchers need to include squats to lower their B/AVG. Coaches may focus on improving such FM variables and consider the time effect on selected FM that may affect PS.en_US
dc.language.isoenen_US
dc.publisherOvid Technologies (Wolters Kluwer Health)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOrthopedics and Sports Medicineen_US
dc.subjectcollegiate division Ien_US
dc.subjectvertical jumpen_US
dc.subjectgrip strengthen_US
dc.subject1RM squaten_US
dc.subjectstrength and conditioningen_US
dc.titleBaseball performance via the lens of anthropometric testing, fitness metrics, and statistics: a longitudinal cross-sectional studyen_US
dc.typeArticleen_US
dc.source.journaltitleCurrent Orthopaedic Practiceen_US
dc.source.volume32
dc.source.issue2
dc.source.beginpage151
dc.source.endpage160
dc.description.versionVoRen_US
dc.description.institutionSUNY Plattsburghen_US
dc.description.departmentExercise and Nutritionen_US
dc.description.degreelevelN/Aen_US


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