School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.
Rural Clinical School, University of Queensland, Rockhampton, QLD, Australia.
Int J Sports Physiol Perform. 2024 Oct 7;19(12):1455-1466. doi: 10.1123/ijspp.2023-0448. Print 2024 Dec 1.
To quantify and compare loads encountered in individual training sessions and games during noncongested and congested weeks in semiprofessional women basketball players.
Using an observational, longitudinal design, 12 players from the same team had their external (PlayerLoad, relative PlayerLoad, and total and high-intensity inertial movement analysis variables) and internal load (session rating of perceived exertion [sRPE], sRPE-load, percentage of heart rate peak, and modified summated-heart-rate-zones load) monitored across a regular season. Training and game data were categorized into noncongested (0-1 game) and congested weeks (2-3 games). Linear mixed models and Cohen d effect sizes were used for analyses.
Comparisons between training sessions revealed higher (P < .05, d = 1.35-5.33) PlayerLoad, total inertial movement analysis, sRPE, and sRPE-load during training session 1 than training session 2 in congested weeks. Comparisons between training sessions and games revealed higher (P ≤ .001, d = 1.10-1.66) sRPE and sRPE-load during games than training sessions 1 and 2 in noncongested weeks, alongside higher (P ≤ .001, d = 1.87-3.55) sRPE during game 1 than training sessions 1 and 2 in congested weeks. Comparisons between games revealed higher (P < .05, d = 0.57-2.82) loads in game 3 during congested weeks compared with all other games.
Training appeared to be tapered in congested weeks, likely to account for upcoming increases in game loading, but remained relatively consistent across sessions during noncongested weeks. Individual game loads remained relatively consistent but were noticeably increased when a third game was played in the week.
量化和比较半职业女子篮球运动员非密集和密集周中个别训练课和比赛所遇到的负荷。
采用观察性、纵向设计，对同一支球队的 12 名球员进行了外部（运动员负荷、相对运动员负荷以及总负荷和高强度惯性运动分析变量）和内部负荷（训练课主观疲劳感觉评估 [sRPE]、sRPE 负荷、心率峰值百分比和改良的总和心率区负荷）的监测，监测贯穿整个常规赛。将训练和比赛数据分为非密集（0-1 场比赛）和密集周（2-3 场比赛）。使用线性混合模型和 Cohen d 效应量进行分析。
在密集周中，与训练课 2 相比，训练课 1 的运动员负荷、总惯性运动分析、sRPE 和 sRPE 负荷更高（P <.05，d = 1.35-5.33）。在非密集周中，与训练课 1 和 2 相比，比赛的 sRPE 和 sRPE 负荷更高（P ≤.001，d = 1.10-1.66），而在密集周中，与训练课 1 和 2 相比，比赛 1 的 sRPE 更高（P ≤.001，d = 1.87-3.55）。在密集周中，与其他所有比赛相比，比赛 3 的负荷更高（P <.05，d = 0.57-2.82）。
在密集周中，训练似乎有所减少，可能是为了应对即将增加的比赛负荷，但在非密集周中，各训练课之间的负荷相对稳定。单个比赛的负荷相对稳定，但当一周内进行第三场比赛时，负荷明显增加。
