Relationship of sleep characteristics with psychoneurophysiologic parameters in middle-aged and elderly individuals living in the European North of Russia
Bibliographic record
Abstract
<p>The <strong>objective</strong> of the study was to evaluate the correlation of sleep disorders with cognitive impairment, depression, and P300 cognitive evoked potential (EP) parameters in middle-aged and elderly individuals living in the European North. <strong>Methods and materials. </strong>A cross-sectional study was conducted in 2023&ndash;2024. A random sample of Arkhangelsk residents aged 45&ndash;74 years (N = 937) was observed. The Montreal Cognitive Function Assessment Scale (MoCa), Beck Depression Scale, a questionnaire for the assessment of subjective characteristics of sleep, electroencephalogram with registration of EP P300 parameters were used. <strong>Results.</strong> It was found that in both genders sleep disorders were associated with the presence of symptoms of depression. In women, sleep disorders were also associated with an age-associated increase in P300 EP latency, which may be an early sign of cognitive decline, and in men &mdash; with an increase in P300 EP amplitude, which is characteristic of anxiety-depressive disorders.</p>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".