Literature DB >> 34267577

Acute Effects of High-intensity Resistance Exercise on Cognitive Function.

John Paul V Anders1,2, William J Kraemer1, Robert U Newton3, Emily M Post4, Lydia K Caldwell5, Matthew K Beeler6, William H DuPont7, Emily R Martini1, Jeff S Volek1, Keijo Häkkinen8, Carl M Maresh1, Scott M Hayes9,10.   

Abstract

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-1) demonstrated significant mean differences for the Mathematical Processing task (MTH; p < 0.001, η2 p = 0.625) where post hoc pairwise comparisons demonstrated that the post-fatigue throughput (32.0 ± 8.8 r·m-1) was significantly greater than the pre-fatigue (23.8 ± 7.4 r·m-1, p = 0.003, d = 1.01) and the familiarization throughput (26.4 ± 5.3 r·m-1, p = 0.024, d = 0.77). The Coded Substitution-Delay task also demonstrated significant mean differences (CDD; p = 0.027, η2 p = 0.394) with post hoc pairwise comparisons demonstrating that the post-fatigue throughput (49.3 ± 14.4 r·m-1) was significantly less than the pre-fatigue throughput (63.2 ± 9.6 r·m-1, p = 0.011, d = 1.14). The repeated measures ANOVAs for reaction time (ms) demonstrated significant mean differences for MTH (p < 0.001, η2 p = 0.624) where post hoc 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, p = 0.005, d = 0.85) and familiarization (2253.7 ± 567.6 ms, p = 0.009, d = 0.64) reaction times. The Go/No-Go task demonstrated significant mean differences (GNG; p = 0.031, η2 p = 0.320) with post hoc pairwise comparisons demonstrating that the post-fatigue (285.9 ± 16.3 ms) was significantly less than the pre-fatigue (298.5 ± 12.1 ms, p = 0.006, d = 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. © Journal of Sports Science and Medicine.

Entities:  

Keywords:  Muscle fatigue; automated neuropsychological assessment metrics; back squat; exercise stress

Year:  2021        PMID: 34267577      PMCID: PMC8256515          DOI: 10.52082/jssm.2021.391

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  24 in total

1.  Factor analysis of computerized and traditional tests used in mild brain injury research.

Authors:  J Bleiberg; R L Kane; D L Reeves; W S Garmoe; E Halpern
Journal:  Clin Neuropsychol       Date:  2000-08       Impact factor: 3.535

Review 2.  Effects of acute bouts of exercise on cognition.

Authors:  Phillip D Tomporowski
Journal:  Acta Psychol (Amst)       Date:  2003-03

3.  Relationship between the number of repetitions and selected percentages of one repetition maximum in free weight exercises in trained and untrained men.

Authors:  Tomoko Shimano; William J Kraemer; Barry A Spiering; Jeff S Volek; Disa L Hatfield; Ricardo Silvestre; Jakob L Vingren; Maren S Fragala; Carl M Maresh; Steven J Fleck; Robert U Newton; Luuk P B Spreuwenberg; Keijo Häkkinen
Journal:  J Strength Cond Res       Date:  2006-11       Impact factor: 3.775

4.  Acute aerobic exercise and information processing: energizing motor processes during a choice reaction time task.

Authors:  Michel Audiffren; Phillip D Tomporowski; James Zagrodnik
Journal:  Acta Psychol (Amst)       Date:  2008-10-18

5.  The Acute Effect of High-Intensity Exercise on Executive Function: A Meta-Analysis.

Authors:  David Moreau; Edward Chou
Journal:  Perspect Psychol Sci       Date:  2019-07-31

6.  Validation of ANAM for cognitive screening in a mixed clinical sample.

Authors:  Andrea S Vincent; Tresa M Roebuck-Spencer; L Eugenia Cox-Fuenzalida; Cady Block; James G Scott; Robert Kane
Journal:  Appl Neuropsychol Adult       Date:  2017-04-27       Impact factor: 2.248

Review 7.  Hormonal responses and adaptations to resistance exercise and training.

Authors:  William J Kraemer; Nicholas A Ratamess
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

8.  Cytokine and hormone responses to resistance training.

Authors:  Mikel Izquierdo; Javier Ibañez; Jose A L Calbet; Ion Navarro-Amezqueta; Miriam González-Izal; Fernando Idoate; Keijo Häkkinen; William J Kraemer; Mercedes Palacios-Sarrasqueta; Mar Almar; Esteban M Gorostiaga
Journal:  Eur J Appl Physiol       Date:  2009-08-01       Impact factor: 3.078

9.  Executive function and endocrinological responses to acute resistance exercise.

Authors:  Chia-Liang Tsai; Chun-Hao Wang; Chien-Yu Pan; Fu-Chen Chen; Tsang-Hai Huang; Feng-Ying Chou
Journal:  Front Behav Neurosci       Date:  2014-08-01       Impact factor: 3.558

10.  The effect of exercise intensity on cognitive performance during short duration treadmill running.

Authors:  Mike Smith; Jason Tallis; Amanda Miller; Neil D Clarke; Lucas Guimarães-Ferreira; Michael J Duncan
Journal:  J Hum Kinet       Date:  2016-07-02       Impact factor: 2.193

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Authors:  Madison L Kackley; Milene L Brownlow; Alex Buga; Chris D Crabtree; Teryn N Sapper; Annalouise O'Connor; Jeff S Volek
Journal:  Front Neurosci       Date:  2022-09-30       Impact factor: 5.152

2.  Acute Effects of High-Intensity Functional Training and Moderate-Intensity Continuous Training on Cognitive Functions in Young Adults.

Authors:  Manuel de Diego-Moreno; Francisco Álvarez-Salvago; Antonio Martínez-Amat; Carmen Boquete-Pumar; Antonio Orihuela-Espejo; Agustín Aibar-Almazán; José Daniel Jiménez-García
Journal:  Int J Environ Res Public Health       Date:  2022-08-25       Impact factor: 4.614

  2 in total

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