One-year prospective study on the presence of chronic diseases and subsequent cognitive decline in older adults
Bibliographic record
Abstract
Background: The literature is inconsistent regarding the effect of the presence of chronic physical and mental diseases on cognitive decline in older adults. The objectives of this study were to explore the effect of chronic diseases on subsequent cognitive decline assessed via the Mini Mental State Examination (MMSE) in community living older adults. Methods: We used data from individuals (n = 2010) participating in the ESA (Étude sur la Santé des Aînés) study. Cognitive status was measured with the MMSE at baseline and after 1 year. Chronic diseases were identified via administrative databases in accordance with International Classification of Diseases 9/10. Multivariate linear regression was used to assess the change in MMSE as a function of chronic physical and mental disorders, while adjusting for socio-demographic and clinical factors. Results: Significant decreases in MMSE scores were found in patients who had a stroke (β value: -2.83) or diabetes (β value: -1.06) and in older adults aged older than 75 years (β value: -0.91). Conclusions: When adjusting for other chronic diseases, stroke, diabetes and advanced age were associated with subsequent cognitive decline in older adults during a one-year follow-up. Longer follow-up is recommended to assess long-term effect.
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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 | 0.002 | 0.002 |
| 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 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".