Athlete External Load Measures Across a Competitive Season in High School Basketball

Author:

Askow Andrew T.1,Jennings Will2,Jagim Andrew R.34,Fields Jennifer B.45,Beaudoin Remington G.6,Sanchez Giuliano M.6,Weeks Jeremy E.6,Oliver Jonathan M.24,Jones Margaret T.4ORCID

Affiliation:

1. Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois;

2. Department of Kinesiology, Texas Christian University, Fort Worth, Texas;

3. Sports Medicine, Mayo Clinic Health System, La Crosse, Wisconsin;

4. Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, Virginia ;

5. Exercise Science and Athletic Training, Springfield College, Springfield, Massachusetts; and

6. Jesuit College Preparatory School, Dallas, Texas

Abstract

Abstract Askow, AT, Jennings, W, Jagim, AR, Fields, JB, Beaudoin, RG, Sanchez, GM, Weeks, JE, Oliver, JM, and Jones, MT. Athlete external load measures across a competitive season in high school basketball. J Strength Cond Res 37(11): 2206–2212, 2023—The purpose of this retrospective analysis was to quantify in-season external load and to determine if relationships existed between load metrics and basketball performance. Eleven male high school varsity basketball athletes (n = 11; mass 80.5 ± 9.6 kg, height 190.2 ± 9.4 cm, age 17.6 ± 0.7 years) were monitored across a season. PlayerLoad (PL), PL per minute (PL·min−1), total jumps, and explosive movements (EMs) were quantified using a commercially available local positioning unit. Basketball-specific performance metrics, including points scored, points allowed, point differentials, and shooting percentages for each quarter and game, were compiled. Data were analyzed using repeated-measure analysis of variance to evaluate differences in load by starting status, session type, game outcome, and game type. Pearson's correlation coefficients were used to assess relationships between load metrics and basketball performance. Statistical significance was set at p < 0.05. The mean values across 23 games for PL, PL·min−1, total jumps, and EMs were 457 ± 104 AU, 10.9 ± 1.6 AU, 42.6 ± 9.6, and 46.7 ± 7.2, respectively. Relationships were observed (p < 0.05) between PL and points scored (r = 0.38) and free throw percentage (r = 0.21). Further relationships were observed between PL·min−1 and free throw shooting percentage (r = −0.27), and between points scored and total jumps (r = 0.28), and EMs (r = 0.26). Notable differences in game demands were observed for playing status. Meaningful differences in measures of external load were observed between each quarter of play, with the highest measures evident in quarters 1 and 3. Guards and forwards experienced minimal differences in external load during gameplay, and game outcome did not result in differences. Higher point totals corresponded with higher PL, total jumps, and EM.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,General Medicine

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