Background: Although decreased sleep has been associated with decreased performance, increased illness risk, and impaired well-being in athletes, the relationship between sleep and injury risk in collegiate athletes is unknown. Purpose/Hypothesis: To evaluate the independent effects of sleep duration and subjective well-being on in-season injury in male collegiate basketball athletes. We hypothesized that decreased sleep would be associated with an increased risk of in-season injury. Study Design: Cohort study; Level of evidence, 2. Methods: During 2 consecutive seasons, 19 male National Collegiate Athletic Association Division I basketball players reported mood, fatigue, stress, soreness, sleep duration (hours), and previous day’s training load every morning. Well-being measures were recorded on a scale from 0 (worst) to 5 (best), and all time-loss injuries were recorded by the team athletic trainer. Separate mixed-effects logistic regression models were used to evaluate the effects of sleep and subjective well-being on in-season injury, with adjustment for same-day training load and individual repeated measures. To determine the independence of sleep and well-being as predictors of injury, each well-being variable was included in a separate mixed-effects logistic regression model, with sleep and training load as covariates. Results: During the study period, 32 injuries were recorded. In the initial separate prediction models, in-season injury was significantly predicted by mood (odds ratio [OR], 0.50; 95% CI, 0.37-0.66), fatigue (OR, 0.44; 95% CI, 0.33-0.59), stress (OR, 0.57; 95% CI, 0.42-0.76), soreness (OR, 0.41; 95% CI, 0.32-0.54), and sleep duration (OR, 0.57; 95% CI, 0.49-0.66) ( P & .001 for all). In the multivariable models, sleep duration remained a significant, independent predictor in each of the subsequent multivariable models (OR, 0.52-0.69; P & .001 for all) as did soreness (OR, 0.65; 95% CI, 0.44-0.95; P = .024), whereas mood (OR, 1.2; 95% CI, 0.76-1.9; P = .43), fatigue (OR, 1.1; 95% CI, 0.65-1.9; P = .68), and stress (OR, 1.1; 95% CI, 0.75-1.5; P = .69) were no longer significant. Conclusion: Increased sleep duration is independently associated with a reduced risk of in-season injury in male collegiate basketball players, even after adjustment for training load and subjective well-being. The effects of mood, fatigue, and stress on injury were no longer evident after adjustment for the effect of sleep duration.
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机译：背景：虽然睡眠下降一直有关的性能下降，疾病风险增加，以及在运动员中幸福的幸福，高级运动员之间的睡眠和伤害风险之间的关系是未知的。目的/假设：评估睡眠持续时间和主观幸福对男院校篮球运动员在季节伤害的独立影响。我们假设睡眠下降将与季节性伤害的风险增加有关。研究设计：队列研究;证据水平，2.方法：连续2个季节，19名男性大学竞技协会司我篮球运动员报道了情绪，疲劳，压力，酸痛，睡眠持续时间（小时）和前一天的训练负荷每天早晨。良好的措施从0（最差）到5（最好）的规模记录，并且团队运动培训师记录了所有时间损伤。单独的混合效应逻辑回归模型用于评估睡眠和主观幸福对季节性损伤的影响，调整为同日培训负载和个人重复措施。为了确定睡眠和幸福的独立性作为伤害的预测因子，每个变化的变量都包含在单独的混合效应逻辑回归模型中，睡眠和培训负载作为协变量。结果：在研究期间，记录了32次伤害。在初始单独的预测模型中，季节性损伤受到情绪显着预测（差距[或]，0.50; 95％CI，0.37-0.66），疲劳（或0.44; 95％CI，0.33-0.59），应力（或0.57; 95％CI，0.42-0.76），疼痛（或0.41; 95％CI，0.32-0.54）和睡眠持续时间（或0.57; 95％CI，0.49-0.66）（P <。 001全部）。在多变量模型中，睡眠持续时间仍然是随后的多变量模型（或0.52-0.69; P＆LT;所有）中的每个多变量的独立预测器，如酸痛（或0.65; 95％CI，0.44-0.95 ; p = .024），情绪（或1.2; 95％CI，0.76-1.9; p = .43），疲劳（或1.1; 95％CI，0.65-1.9; p = .68）和压力（或1.1; 95％CI，0.75-1.5; p = .69）不再重要。结论：增加睡眠持续时间与男性大学篮球运动员季节性伤害的风险降低，即使在调整训练负荷和主观福祉之后，也与季节性大学篮球运动员的风险无关。在调整睡眠持续时间后，心情，疲劳和压力对损伤的影响不再明显。
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