Acute rest does not predict symptom recovery in collegiate student athletes
Acute rest does not predict symptom recovery in collegiate student athletes
复制标题
急性休息并不能预测大学生运动员的症状恢复
DOI：
10.1136/bjsports-2016-097270.217
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发表时间：
2017
影响因子：
18.4
通讯作者：
Kelsey Evans
中科院分区：
文献类型：
--
作者：
T. Buckley;B. Munkasy;B. Clouse;Kelsey Evans
Objective To assess the effect of acute cognitive and physical activity level and sleep on concussion recovery. Design Prospective.
Setting:
College sports medicine.
Participants:
Forty-one college student athletes (51.2% Female; Age: 19.6 + 1.2 years) diagnosed with sports-related concussions. Interventions The independent variables were the participant’s self-reported physical and cognitive activity levels (1–5 based on Majerske) and the number of hours slept the first two days post-concussion.
Outcome measures
The dependent variables were the number of days until the participant 1) self-report asymptomatic and 2) had full return-to-participation which required achieving baseline values on balance, cognitive, neuropsychological testing and completing a progressive return to activity protocol. The independent variables (activity levels and sleep) were used as predictors of recovery with a linear regression. Main results The participants were asymptomatic 4.7 + 2.8 (95% CI: 3.8–5.5) days and returned-to-participation 13.0 + 4.2 (95% CI: 11.8–14.3) days post-concussion. Participants reported a mean 7.8 + 1.9 hours of sleep per night and low physical (1.4 + 0.7) and cognitive (2.7 + 1.4) activity levels. There were no significant correlations and the overall model did not predict days until asymptomatic (F=1.224, P=0.315) or return-to-participation time (F=0.036, P=0.991). None of the independent variables were significant predictors. Conclusions The activity levels and reported sleep in the first two days post-concussion did not predict recovery time. This finding is consistent with emerging literature suggesting acutely restricting activity may not improve concussion recovery time. Future studies should utilise sleep logs and objectively measure activity levels. Competing interests None.
