PSYCHOSOCIAL STRESS AND RESPONSE TIME INCONSISTENCY IN OLD AGE: A MEASUREMENT BURST APPROACH
Bibliographic record
Abstract
Psychosocial stress has been identified as an important modifiable risk factor for normal and pathological cognitive aging. Evidence exists showing psychosocial stress predicting poorer performance across multiple cognitive domains (e.g., working memory), with limited research considering stress effects on response time inconsistency (RTI). Using data from a measurement burst design, 111 older adults (Mage=80, Range=66–95) completed a processing speed task on 6 occasions over a 14-day period, repeating this protocol every 6 months for 2.5 years. Participants also completed measures of daily and perceived stress. Results from multilevel models revealed that individual differences in emotional (affect) and psychosomatic (pain) reactions to daily stressors and global perceptions of stress were associated with greater RTI (ps<.001). Additionally, these associations increased with age (p<.01). Discussion will focus on the importance of different dimensions of psychosocial stress for understanding cognitive aging, and the utility of measurement burst designs for examining stress-RTI links.
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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 | 0.018 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".