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仅经过3天骑行后,基于主观疲劳和训练准备状态对功能性过度训练的预测

Prediction of Functional Overreaching From Subjective Fatigue and Readiness to Train After Only 3 Days of Cycling.

作者信息

Ten Haaf Twan, van Staveren Selma, Oudenhoven Erik, Piacentini Maria F, Meeusen Romain, Roelands Bart, Koenderman Leo, Daanen Hein A M, Foster Carl, de Koning Jos J

出版信息

Int J Sports Physiol Perform. 2017 Apr;12(Suppl 2):S287-S294. doi: 10.1123/ijspp.2016-0404. Epub 2016 Nov 11.

Abstract

PURPOSE

To investigate whether monitoring of easily measurable stressors and symptoms can be used to distinguish early between acute fatigue (AF) and functional overreaching (FOR).

METHODS

The study included 30 subjects (11 female, 19 male; age 40.8 ± 10.8 y, VOmax 51.8 ± 6.3 mL · kg · min) who participated in an 8-d cycling event over 1300 km with 18,500 climbing meters. Performance was measured before and after the event using a maximal incremental test. Subjects with decreased performance after the event were classified as FOR, others as AF. Mental and physical well-being, internal training load, resting heart rate, temperature, and mood were measured daily during the event. Differences between AF and FOR were analyzed using mixed-model ANOVAs. Logistic regression was used to determine the best predictors of FOR after 3 and 6 d of cycling.

RESULTS

Fifteen subjects were classified as FOR and 14 as AF (1 excluded). Although total group changes were observed during the event, no differences between AF and FOR were found for individual monitoring parameters. The combination of questionnaire-based changes in fatigue and readiness to train after 3 d cycling correctly predicted 78% of the subjects as AF or FOR (sensitivity = 79%, specificity = 77%).

CONCLUSIONS

Monitoring changes in fatigue and readiness to train, using simple visual analog scales, can be used to identify subjects likely to become FOR after only 3 d of cycling. Hence, we encourage athlete support staff to monitor not only fatigue but also the subjective integrated mental and physical readiness to perform.

摘要

目的

研究监测易于测量的压力源和症状是否可用于早期区分急性疲劳(AF)和功能性过度训练(FOR)。

方法

该研究纳入了30名受试者(11名女性,19名男性;年龄40.8±10.8岁,最大摄氧量51.8±6.3 mL·kg·min),他们参加了一场为期8天、骑行距离超过1300公里且爬升18500米的自行车赛事。在赛事前后使用最大递增测试来测量运动表现。赛事后运动表现下降的受试者被归类为FOR,其他受试者则被归类为AF。在赛事期间每天测量心理和生理健康状况、内部训练负荷、静息心率、体温和情绪。使用混合模型方差分析来分析AF和FOR之间的差异。使用逻辑回归来确定骑行3天和6天后FOR的最佳预测指标。

结果

15名受试者被归类为FOR,14名被归类为AF(1名被排除)。尽管在赛事期间观察到了总体组的变化,但在个体监测参数方面未发现AF和FOR之间存在差异。基于问卷的骑行3天后疲劳和训练准备度的变化组合正确地将78%的受试者预测为AF或FOR(敏感性=79%,特异性=77%)。

结论

使用简单的视觉模拟量表监测疲劳和训练准备度的变化,仅在骑行3天后即可用于识别可能出现功能性过度训练的受试者。因此,我们鼓励运动员支持人员不仅要监测疲劳,还要监测主观的综合心理和生理表现准备度。

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