The effect of acute stress on cognitive performance in older adults and patients with Parkinson's disease
Bibliographic record
Abstract
Acute stress is a ubiquitous feature of everyday life, affecting young and old alike, and it has an important impact on cognitive well-being.However, stress research has largely been conducted in healthy, young adults, and important gaps remain in our understanding of the impact of stress on cognitive function of older adults.This thesis presents two studies that focus on separate populations: Study 1 examines the effect of acute stress on cognitive performance in healthy older adults.Study 2 compares the effects of acute stress on physiology, mood and cognition in patients with Parkinson's disease (PD), an age-related neurodegenerative disease characterized by reports of increased stress susceptibility, to that of healthy older adults.The goal of the first study was to investigate the effect of an online acute psychosocial stressor on working memory and executive function in older adults and to measure sex differences in the effects of acute stress on cognition.The specific objectives were: 1) to determine the effect of acute psychosocial stress, administered in an automated online protocol, on cognitive performance in older adults, specifically in working memory and executive function; and 2) to determine 2 Online acute stress induction in middle and older-aged adults shows beneficial effects on cognition that vary by sex
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".