Int J Sports Physiol Perform. 2020 May 1;15(5):625-631. doi: 10.1123/ijspp.2019-0425.
Identifying strategies that reduce the risk of illness and injury is an objective of sports science and medicine teams. No studies have examined the relationship between oxidative stress (OS) and illness or injury in international athletes undergoing periods of intensified training and competition.
The authors aimed to identify relationships between illness, injury, and OS.
A longitudinal, observational study of elite male rowers (n = 10) was conducted over 18 weeks, leading into World Championships. Following a recovery day and a 12-hour fast, hydroperoxides (free oxygen radicals test) and total antioxidant capacity (free oxygen radicals defense) were measured in venous blood, with the ratio calculated as the oxidative stress index (OSI). At all study time points, athletes were independently dichotomized as ill or not ill, injured or not injured. OS data were compared between groups using independent t tests. A Cox proportional hazard model was used to assess the association of OS with injury and illness while adjusting for age and body mass index.
Free oxygen radicals defense was lower (P < .02) and OSI was higher (P < .001) with illness than without illness. Free oxygen radicals test and OSI were higher with injury than without injury (P < .001). A 0.5 mmol·L-1 increase in free oxygen radicals defense was associated with a 30.6% illness risk reduction (95% confidence interval, 7%-48%, P = .014), whereas 0.5 unit increase in OSI was related to a 11.3% increased illness risk (95% confidence interval, 1%-23%, P = .036).
OS is increased in injured and ill athletes. Monitoring OS may be advantageous in assessing recovery from and in reducing injury and illness risk given the association.
识别降低疾病和损伤风险的策略是运动科学和医学团队的目标。没有研究调查过在经历强化训练和比赛期间的国际运动员中,氧化应激(OS)与疾病或损伤之间的关系。
作者旨在确定疾病、损伤和 OS 之间的关系。
对 18 周的精英男性赛艇运动员(n=10)进行了一项纵向观察性研究,这期间正值世界锦标赛。在恢复日和 12 小时禁食后,测量静脉血中的过氧化物(自由基测试)和总抗氧化能力(自由基防御),并计算氧化应激指数(OSI)。在所有研究时间点,运动员均独立分为患病或未患病、受伤或未受伤。使用独立 t 检验比较两组之间的 OS 数据。使用 Cox 比例风险模型评估 OS 与损伤和疾病的关联,同时调整年龄和体重指数。
患病时的自由氧自由基防御较低(P<0.02),OSI 较高(P<0.001)。与未受伤相比,受伤时的自由氧自由基测试和 OSI 更高(P<0.001)。自由氧自由基防御增加 0.5 mmol·L-1 与疾病风险降低 30.6%(95%置信区间,7%-48%,P=0.014)相关,而 OSI 增加 0.5 单位与疾病风险增加 11.3%(95%置信区间,1%-23%,P=0.036)相关。
受伤和患病运动员的 OS 增加。鉴于这种关联,监测 OS 可能有助于评估恢复情况,并降低损伤和疾病风险。