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Losing sleep over it: Sleep in basketball players affected by game but not training workloads
journal contributionposted on 13.10.2020, 00:00 by Jordan Fox, Aaron Scanlan, Robert Stanton, Cody O'Grady, Charli Sargent
Purpose: To examine the impact of workload volume during training sessions and games on subsequent sleep duration and sleep quality in basketball players. Methods: Seven semiprofessional male basketball players were monitored across preseason and inseason phases to determine training session and game workloads, sleep duration, and sleep quality. Training and game data were collected via accelerometers, heart-rate monitors, and rating of perceived exertion (RPE) and reported as PlayerLoad™ (PL), summated heart-rate zones, and session RPE (sRPE). Sleep duration and sleep quality were measured using wrist-worn activity monitors in conjunction with self-report sleep diaries. For daily training sessions and games, all workload data were independently sorted into tertiles representing low, medium, and high workload volumes. Sleep measures following low, medium, and high workloads and control nights (no training/games) were compared using linear mixed models. Results: Sleep onset time was significantly later following medium and high PL and sRPE game workloads compared with control nights (P <.05). Sleep onset time was significantly later following low, medium, and high summated heart-rate-zones game workloads, compared with control nights (P <.05). Time in bed and sleep duration were significantly shorter following high PL and sRPE game workloads compared with control nights (P <.05). Following low, medium, and high training workloads, sleep duration and quality were similar to control nights (P >.05). Conclusions: Following high PL and sRPE game workloads, basketball practitioners should consider strategies that facilitate longer time in bed, such as napping and/or adjusting travel or training schedules the following day. © 2020 Human Kinetics, Inc.