Department of Human Sciences, The Ohio State University, Columbus, OH, USA.
Department of Education and Human Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
J Sports Sci Med. 2021 May 3;20(3):391-397. doi: 10.52082/jssm.2021.391. eCollection 2021 Sep.
The purpose of the present study was to examine the influence of an acute bout of high-intensity resistance exercise on measures of cognitive function. Ten men (Mean ± SD: age = 24.4 ± 3.2 yrs; body mass = 85.7 ± 11.8 kg; height = 1.78 ± 0.08 m; 1 repetition maximum (1RM) = 139.0 ± 24.1 kg) gave informed consent and performed a high-intensity 6 sets of 10 repetitions of barbell back squat exercise at 80% 1RM with 2 minutes rest between sets. The Automated Neuropsychological Assessment Metrics (ANAM) was completed to assess various cognitive domains during the familiarization period, immediately before, and immediately after the high-intensity resistance exercise bout. The repeated measures ANOVAs for throughput scores (r·m) demonstrated significant mean differences for the Mathematical Processing task (MTH; < 0.001, η = 0.625) where pairwise comparisons demonstrated that the post-fatigue throughput (32.0 ± 8.8 r·m) was significantly greater than the pre-fatigue (23.8 ± 7.4 r·m, = 0.003, = 1.01) and the familiarization throughput (26.4 ± 5.3 r·m, = 0.024, = 0.77). The Coded Substitution-Delay task also demonstrated significant mean differences (CDD; = 0.027, η = 0.394) with pairwise comparisons demonstrating that the post-fatigue throughput (49.3 ± 14.4 r·m) was significantly less than the pre-fatigue throughput (63.2 ± 9.6 r·m, = 0.011, = 1.14). The repeated measures ANOVAs for reaction time (ms) demonstrated significant mean differences for MTH ( < 0.001, η = 0.624) where pairwise comparisons demonstrated that the post-fatigue reaction time (1885.2 ± 582.8 ms) was significantly less than the pre-fatigue (2518.2 ± 884.8 ms, = 0.005, = 0.85) and familiarization (2253.7 ± 567.6 ms, = 0.009, = 0.64) reaction times. The Go/No-Go task demonstrated significant mean differences (GNG; = 0.031, η = 0.320) with pairwise comparisons demonstrating that the post-fatigue (285.9 ± 16.3 ms) was significantly less than the pre-fatigue (298.5 ± 12.1 ms, = 0.006, = 0.88) reaction times. High-intensity resistance exercise may elicit domain-specific influences on cognitive function, characterized by the facilitation of simple cognitive tasks and impairments of complex cognitive tasks.
本研究的目的是检验一次高强度抗阻运动对认知功能测量的影响。10 名男性(均值 ± 标准差:年龄=24.4 ± 3.2 岁;体重=85.7 ± 11.8kg;身高=1.78 ± 0.08m;1 次重复最大值(1RM)=139.0 ± 24.1kg)签署了知情同意书,并进行了 80%1RM 的 6 组 10 次杠铃深蹲的高强度抗阻运动,每组之间休息 2 分钟。在熟悉期、运动前和运动后,使用自动神经心理评估指标(ANAM)完成了各种认知域的评估。吞吐量得分(r·m)的重复测量方差分析显示,数学处理任务(MTH;<0.001,η=0.625)存在显著的均值差异,两两比较显示疲劳后吞吐量(32.0 ± 8.8 r·m)明显大于疲劳前(23.8 ± 7.4 r·m, = 0.003, = 1.01)和熟悉吞吐量(26.4 ± 5.3 r·m, = 0.024, = 0.77)。编码替代-延迟任务(Coded Substitution-Delay task)也显示出显著的均值差异(CDD; = 0.027,η=0.394),两两比较显示疲劳后吞吐量(49.3 ± 14.4 r·m)明显小于疲劳前吞吐量(63.2 ± 9.6 r·m, = 0.011, = 1.14)。反应时间(ms)的重复测量方差分析显示,MTH 存在显著的均值差异(<0.001,η=0.624),两两比较显示疲劳后反应时间(1885.2 ± 582.8ms)明显小于疲劳前(2518.2 ± 884.8ms, = 0.005, = 0.85)和熟悉(2253.7 ± 567.6ms, = 0.009, = 0.64)反应时间。Go/No-Go 任务(Go/No-Go task)显示出显著的均值差异(GNG; = 0.031,η=0.320),两两比较显示疲劳后(285.9 ± 16.3ms)反应时间明显小于疲劳前(298.5 ± 12.1ms, = 0.006, = 0.88)。高强度抗阻运动可能对认知功能产生特定领域的影响,表现为简单认知任务的促进和复杂认知任务的损伤。