Differences in Functional Status of Hispanic versus Non-Hispanic White Elders
Bibliographic record
Abstract
OBJECTIVES: Few national studies have focused specifically on the functional status of Hispanic elders. We examined the prevalence of functional limitations and disabilities among Hispanic and Black elders compared to non-Hispanic Whites. METHODS: We analyzed seven measures of functional limitations, disabilities, and dependencies. Logistic regression was used to examine racial and ethnic group differences adjusting for age, gender, and education. RESULTS: Compared to non-Hispanic Whites, Hispanics tended to report greater instrumental activities of daily living (IADL) dependencies and cognitive disabilities. Blacks were more likely to have activities of daily living (ADL) and IADL dependencies and require use of assistive devices compared to non-Hispanic Whites. Further adjustment for respondent status reduced differences between groups, but these models may overadjust for functional status differences. DISCUSSION: Given the projected growth of minority elders, policymakers and planners will need to consider race and ethnic differentials in functional status in determining future medical and social service needs.
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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 | 0.001 | 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".