Associates of cognitive functions in aged Turkish adults: Insights from a psychiatry outpatient clinic
Bibliographic record
Abstract
Introduction: The aim of this study was to determine the cognitive function and its influential factors in elderly adults in Turkey. Materials and Methods: 127 patients aged over 65 years referred to a psychiatry outpatient clinic for the first time were included to cross-sectional and descriptive study. Patients were assessed by Carlson Comorbidity index, Montreal Cognitive Assessment Test, Geriatric Depression Scale, Beck Anxiety Inventory, Nottingham Health Profile and Lawton Instrumental Activities of Daily Living Scale. Results: The mean age of the patients was 69.7±4.2 years and 55.1% (n=70) of the participants were female. The primary diagnosis was Generalized Anxiety Disorder in 48.8% and Major depressive disorder in 51.2% of the patients. In multivariate analysis, age (OR:0.759, 95% CI:0.630-0.914, p=0.004), income <3800 TL (OR:14.72, 95% CI:1.78-121.51, p=0.013), medication usage (OR:0.171, 95% CI:0.035-0.845, p=0.030) and Geriatric Depression Scale score (OR:0.876, 95% CI:0.785-0.977, p=0.017) remained as independent predictors of Montreal Cognitive Assessment Test score. Conclusion: In Turkish adults with Generalized Anxiety Disorder or Major depressive disorder who admit to a psychiatry outpatient clinic for the first time, various parameters including age, education, income, leisure activity, medication usage, depression, Lawton Instrumental Activities of Daily Living Scale score and Nottingham Health Profile score are linked with cognitive impairment. However, only age, income, medication usage and depression independently associate with cognitive impairment in this highly specific patient population. Keywords: Cognitive Dysfunction; Geriatric Psychiatry; Depression; Quality of Life.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".