Prolonged cognitive activity increases perception of fatigue but does not influence perception of effort, affective valence, or performance during subsequent isometric endurance exercise.
Bibliographic record
Abstract
Performance of a cognitively demanding task has previously been reported to impair subsequent physical endurance performance, an effect attributed to sensory processes influencing the perceived effort required to maintain performance. However, there is uncertainty regarding the robustness of these performance effects and their putative mechanisms. The present study examined two hypotheses: (a) that prior cognitive activity impairs subsequent physical endurance performance and (b) that the perception of fatigue arising from sustained cognitive performance is associated with the level of effort and affective valence reported during a subsequent physical endurance task. Eighteen participants completed a high (HIGH; a modified version of the Stroop task) and low (LOW; watching a documentary) cognitively demanding task before performing an exhaustive, submaximal (20% maximal voluntary contraction, MVC) isometric contraction of the right knee extensor muscles. The perception of fatigue was elevated and cognitive task accuracy reduced in the HIGH condition. However, physical endurance performance, perception of effort, and affective valence reported during the physical endurance task were not affected. In the HIGH condition, the perceptions of effort and affect were related to endurance time, while significant correlations were found between perceptions of fatigue and both perceived effort and affective valence when assessed across both conditions. The findings indicate that performing a demanding cognitive task does not impair subsequent physical endurance performance nor influence perceived effort and affective valence during a submaximal isometric contraction performed to task failure. The observed relationships offer some support to the idea that fatigue perception may influence affective valence and effort perception. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".