Life Course Socioeconomic Disadvantage and Cognitive Function Among the Elderly Population of Seven Capitals in Latin America and the Caribbean
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To examine the influence of life course socioeconomic disadvantages (SED) on cognitive function in later life. METHOD: Data originate from a survey of people 60 and older living in seven Latin American and Caribbean cities. Cognitive function was measured with a modified Mini-Mental State Examination and the Pfeffer Scale of Functional Capacity. Homogeneity tests were used to pool data. Associations between cognitive function and SED were evaluated, fitting logistic regressions. RESULTS: Cognitive impairment (CI) prevalence ranged from 0.3% to 6.5% in men and 1.2% to 10.1% in women. Childhood rural living, poor childhood health, illiteracy, housewife or farmer occupation, and insufficient income were associated with CI in all seven cities. The odds of CI increase with cumulative exposure to disadvantages along life course. CONCLUSIONS: Life course SED is related to cognitive function later in life. Difficulty in properly distinguishing cognitive function from test performance remains an issue.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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 it