Social patterning of cognitive impairment in Colombia: evidence from the SABE 2015 study
Bibliographic record
Abstract
INTRODUCTION: Dementia, an increasingly critical public health concern in low and middle-income countries, is associated with lower socioeconomic status, early cognitive impairment, and elevated dementia-related mortality risk. This study seeks to estimate the prevalence of cognitive impairment, investigate its links with social indicators, and visualize social gradients across different regions in Colombia. METHODS: Secondary data analysis from the SABE 2015 survey, multinomial regression analyses, and equiplot graphs. RESULTS: A sample of 23,694 individuals 60 years or older from Colombia. Higher risks were observed among individuals with dark skin color (OR 1.27; 95%CI: 1.10 - 1.47), lower educational levels (OR 3.01; 95%CI:2.04 - 4.42) and reading illiteracy (OR 2.14; 95%CI: 1.87 - 2.46). Inequity patterns were identified by region of residence and income. DISCUSSION: This study underscores the need for targeted interventions aimed at reducing health inequities. The results highlight the higher prevalence rates of cognitive impairment among socially disadvantaged individuals.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".