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Record W7108986993 · doi:10.1080/09581596.2025.2598419

Acute effect of dual-task endurance exercise on cognitive functions and myocardial oxygen consumption; a randomized, controlled trial

2025· article· en· W7108986993 on OpenAlexaboutno aff

Bibliographic record

VenueCritical Public Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsAerobic exerciseCognitionMontreal Cognitive AssessmentRandomized controlled trialEndurance trainingVO2 maxEffects of sleep deprivation on cognitive performanceCardiovascular fitness

Abstract

fetched live from OpenAlex

ABSTARCTDual-task exercise and its impacts on cognitive function have gained increasing attention in recent years. Targeted aerobic exercise, cardiovascular responses, and the associated improvements in cognitive performance appear promising for mitigating certain cognitive disorders, although the optimal protocol remains unclear. In this randomized controlled trial, 34 participants meeting inclusion criteria were allocated into either a standardized aerobic exercise group (BSAEgr, n = 18) or a dual-task aerobic exercise group (BIDAgr, n = 16). Cognitive status was assessed with the Montreal Cognitive Function Assessment Scale (MOCA), and reaction time performance was measured using the Nelson Reaction Test (NRT). Cardiovascular responses including systolic blood pressure, diastolic blood pressure, pulse rate, and the double product formula were evaluated before and after the intervention. The findings demonstrated that dual-task aerobic exercise led to greater improvements in cognitive function compared to standardized aerobic exercise. Significant improvements were observed in MOCA scores, NRT distance, and NRT outcome measures within the dual-task group (p < 0.005). These results provide preliminary evidence that incorporating dual-task elements into aerobic training may enhance both cognitive and cardiovascular outcomes, suggesting potential applicability in preventive and rehabilitative settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.375
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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