Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, Boca Raton, Florida; and.
Department of Health and Kinesiology, Texas A&M University-Kingsville, Kingsville, Texas.
J Strength Cond Res. 2021 Feb 1;35(Suppl 1):S16-S22. doi: 10.1519/JSC.0000000000003202.
Haischer, MH, Cooke, DM, Carzoli, JP, Johnson, TK, Shipherd, AM, Zoeller, RF, Whitehurst, M, and Zourdos, MC. Impact of cognitive measures and sleep on acute squat strength performance and perceptual responses among well-trained men and women. J Strength Cond Res 35(2S): S16-S22, 2021-This study assessed the efficacy of currently used assessments for sleep, anxiety, and stress in predicting 1-repetition maximum (1RM) back squat performance. Fifty-three men (age, 23 ± 3 years; body mass, 86.67 ± 13.93 kg; training age, 6.0 ± 2.5 years; 1RM = 163.5 ± 39.5 kg) and 15 women (age, 21 ± 1.5 years; body mass, 63.34 ± 9.6 kg; training age, 4 ± 1.5 years; 1RM = 81.5 ± 12.5 kg) participated. Subjects completed the Daily Analysis of Life Demands for Athletes (DALDA), the revised Competitive State Anxiety Inventory-2 (CSAI-2R), and Oviedo Sleep Questionnaire (OSQ) to evaluate stress, anxiety, and sleep, respectively. Subjects then completed the perceived self-efficacy (PSE) scale, to predict what loads they were 100, 75, and 50% confident that they could lift for a 1RM; then completed 1RM testing with rating of perceived exertion (RPE) and average concentric velocity (ACV) obtained on each attempt. The performance-dependent variable was calculated by subtracting the PSE responses from the actual 1RM (1RM-PSE difference). Bootstrapping with 1,000 replicate samples was used with linear regression to increased robustness of the statistical analyses, and 95% confidence intervals (CIs) were calculated. Hours of sleep was an inverse predictor of ACV (p = 0.014; 95% CI = 0.046 to-0.011) and a positive predictor of RPE (p = 0.005; 95% CI = 0.068-0.342). Furthermore, the hypersomnia subscale of the OSQ was a negative predictor of 1RM-PSE difference at 50% confidence (p = 0.028; 95% CI = -3.507 to -0.528), and CSAI-2R total score was a negative predictor of RPE at 1RM (p = 0.043; 95% CI = -0.041 to -0.003); however, the DALDA did not exhibit any significant relationships. These data highlight the importance of monitoring anxiety and sleep when assessing readiness for maximal strength performance.
海舍尔,MH,库克,DM,卡佐利,JP,约翰逊,TK,希弗德,AM,佐勒尔,RF,怀特赫斯特,M 和佐尔多斯,MC。认知测量和睡眠对经过训练的男性和女性急性深蹲力量表现和感知反应的影响。J 力量与体能研究 35(2S):S16-S22,2021 年-本研究评估了目前用于睡眠、焦虑和压力的评估方法对 1 次重复最大(1RM)深蹲表现的预测效果。53 名男性(年龄 23±3 岁;体重 86.67±13.93 千克;训练年限 6.0±2.5 年;1RM=163.5±39.5 千克)和 15 名女性(年龄 21±1.5 岁;体重 63.34±9.6 千克;训练年限 4±1.5 年;1RM=81.5±12.5 千克)参加了研究。受试者完成了运动员日常生活需求每日分析(DALDA)、修订后的竞争状态焦虑量表-2(CSAI-2R)和奥维多睡眠问卷(OSQ),分别评估压力、焦虑和睡眠。然后,受试者完成了感知自我效能感(PSE)量表,预测他们有 100%、75%和 50%的信心能举起 1RM 的负荷;然后进行 1RM 测试,记录每个尝试的感觉用力程度(RPE)和平均向心速度(ACV)。表现相关的因变量是通过从实际 1RM 中减去 PSE 反应来计算的(1RM-PSE 差异)。使用 1000 个重复样本进行引导,采用线性回归提高统计分析的稳健性,并计算 95%置信区间(CI)。睡眠时间是 ACV 的负向预测因子(p=0.014;95%CI=0.046 至-0.011),是 RPE 的正向预测因子(p=0.005;95%CI=0.068 至-0.342)。此外,OSQ 的嗜睡分量表是 50%置信度下 1RM-PSE 差异的负向预测因子(p=0.028;95%CI=-3.507 至-0.528),CSA 2R 总得分是 1RM 时 RPE 的负向预测因子(p=0.043;95%CI=-0.041 至-0.003);然而,DALDA 并没有表现出任何显著的关系。这些数据强调了在评估最大力量表现准备情况时监测焦虑和睡眠的重要性。