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在经过六周卧推训练后,储备预测准确性的内集重复次数的变化。

Changes in Intraset Repetitions in Reserve Prediction Accuracy During Six Weeks of Bench Press Training in Trained Men.

机构信息

Muscle Physiology Laboratory, Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL, USA.

Sports Performance Research Institute New Zealand (SPRINZ), AUT University, Auckland, New Zealand.

出版信息

Percept Mot Skills. 2023 Oct;130(5):2139-2160. doi: 10.1177/00315125231189098. Epub 2023 Jul 12.

Abstract

In this study we investigated whether the accuracy of intraset repetitions in reserve (RIR) predictions changes over time. Nine trained men completed three bench press training sessions per week for 6 weeks (following a 1-week familiarization). The final set of each session was performed until momentary muscular failure, with participants verbally indicating their perceived 4RIR and 1RIR. RIR prediction errors were calculated as raw differences (RIRDIFF), with positive and negative values indicating directionality, and absolute RIRDIFF (absolute value of raw RIRDIFF) indicating error scores. We constructed mixed effect models with time (i.e., session) and proximity to failure as fixed effects, repetitions as a covariate, and random intercepts per participant to account for repeated measures, with statistical significance set at ≤ .05. We observed a significant main effect for time on raw RIRDIFF ( < .001), with an estimated marginal slope of -.077 repetitions, indicating a slight decrease in raw RIRDIFF over time. Further, the estimated marginal slope of repetitions was -.404 repetitions, indicating a decrease in raw RIRDIFF as more repetitions were performed. There were no significant effects on absolute RIRDIFF. Thus, RIR rating accuracy did not significantly improve over time, though there was a greater tendency to underestimate RIR in later sessions and during higher repetition sets.

摘要

在这项研究中,我们调查了储备内重复(RIR)预测的准确性是否随时间变化。9 名训练有素的男性每周进行 3 次卧推训练,持续 6 周(熟悉期为 1 周)。每个训练周期的最后一组都是直到达到瞬间肌肉衰竭,参与者口头表示他们感觉到的 4RIR 和 1RIR。RIR 预测误差以原始差值(RIRDIFF)计算,正值和负值表示方向,绝对 RIRDIFF(原始 RIRDIFF 的绝对值)表示误差分数。我们构建了混合效应模型,时间(即会话)和接近失败作为固定效应,重复作为协变量,每个参与者的随机截距用于重复测量,统计学意义设定为 ≤.05。我们观察到原始 RIRDIFF 随时间的主要效应具有统计学意义( <.001),估计的边际斜率为-.077 次重复,表明原始 RIRDIFF 随时间略有下降。此外,重复的估计边际斜率为-.404 次重复,表明随着重复次数的增加,原始 RIRDIFF 会减少。绝对 RIRDIFF 没有显著影响。因此,RIR 评分的准确性并没有随着时间的推移而显著提高,尽管在后期的训练周期和更高的重复次数中,人们对 RIR 的低估趋势更为明显。

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