ASSOCIATIONS BETWEEN NEIGHBORHOOD QUALITY AND COGNITIVE FUNCTION ARE MODERATED BY INTERPERSONAL STRESSOR CONTROL
Bibliographic record
Abstract
Abstract Studying modifiable psychosocial risk factors for dementia is crucial to inform approaches for dementia prevention, especially among those with lower neighborhood quality. Perceived control is an important psychosocial resource for cognitive health. Most prior work, however, focuses exclusively on global aspects of control, ignoring influences of more dynamic aspects of control over specific experiences in daily life, such as daily stressor control. Therefore, we used data from the Midlife in the United States study and the National Study of Daily Experiences (N=1,651, Mage=62.09, SE=12.11, 56.65% Female) to address this gap and examine associations of stressor control and neighborhood quality with cognitive function. Over two waves of eight consecutive days of data collection, respondents reported perceived control over interpersonal and non-interpersonal stressors they had experienced. Respondents also completed assessments of neighborhood quality, executive function (EF), and episodic memory (EM). We employed linear regressions to assess concurrent (wave 2) and prospective (ten years later at wave 3) associations of stressor control and neighborhood quality with cognitive function. Concurrent associations between better neighborhood quality and better cognitive function (EF, EM) were amplified among those with lower interpersonal stressor control. No prospective associations with cognitive function ten years later emerged. Results indicate that better neighborhood quality may be beneficial for cognitive health, especially for individuals with lower perceived control over interpersonal stressors such as arguments and avoided arguments. We discuss the value of promoting better neighborhood quality as an important social determinant of cognitive health and aging when psychosocial resources are comparatively limited.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".