A – 71 Exploring The Relationship Between Social Determinants of Health and Psychiatric Outcomes on Cognitive Reserve in Black Older Adults
Bibliographic record
Abstract
Abstract Objective This study explored the relationship between area deprivation, childhood adversity, and health literacy on cognitive and psychiatric outcomes among Black older adult patients referred for outpatient neuropsychological evaluation of possible memory impairment. Method This study utilized cross-sectional data from 111 older adult Black patients evaluated for possible cognitive impairment at a large Midwestern academic medical center. The sample was 62.2% female with MeanAge=64.17 (SD=8.30), MeanEducation=12.63 (SD=2.90), and MeanIQ=86.02 (SD=9.96). All patients were administered a neuropsychological battery that included the Montreal Cognitive Assessment (MoCA), Adverse Childhood Experiences (ACEs) Questionnaire, Perceived Stress Scale (PSS), Short Assessment of Health Literacy (SAHL-E), and Beck Anxiety Inventory (BAI). Area Deprivation Indices (ADI) were collected for each patient based on 2022 national ADI percentiles. A series of multiple linear regressions analyzed the influence of ACEs, ADI, and SAHL-E on MoCA total scores and current perceived stress and anxiety symptoms. Results Health literacy significantly predicted global cognition on the MoCA (R2=.23; F(3,107)=10.795, p<.001), whereas ADI and ACEs did not. ADI, ACEs, and Health Literacy did not significantly predict current perceived stress (R2=.05, F(3,102)=1.825, p=.147). Finally, ACEs significantly predicted current anxiety symptoms (R2=.17, F(3,105)=7.338, p<.001), while ADI and Health Literacy did not. Conclusion Findings indicate that health literacy may be a protective factor against cognitive decline in older age Black patients, whereas current anxiety symptoms may be influenced by early childhood adversity. Community-level interventions addressing health promotion and childhood adversity may have a positive effect on neuropsychological outcomes among this population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".