The relationship between sleep quality, depression, and anxiety in patients with epilepsy and suicidal ideation
Bibliographic record
Abstract
UNLABELLED: The relationships among suicidal ideation, sleep, depression, anxiety, and effects on epilepsy require more research. OBJECTIVE: The aim of this study was to estimate the prevalence of suicidal ideation in outpatients with epilepsy, and relate this to sleep quality, daytime sleepiness, depression, and anxiety. METHOD: Ninety-eight non-selected patients were evaluated. The subjects were classified as "suicidal ideators" or "non-ideators", based on their response to item 9 of the Beck Depression Inventory. RESULTS: The prevalence of suicidal ideation was 13.3% (χ2=50.46, p<0.001). The differences between cases with or without suicidal ideation were statistically significant in relation to sleep quality (p=0.005) and symptoms of depression (p=0.001) and anxiety (p=0.002). CONCLUSION: Our results revealed that depression and anxiety were associated with sleep quality, daytime sleepiness, and suicidal ideation and that depression and sleep disturbance were good predictors of suicide in subjects with epilepsy.
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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 | 0.002 |
| 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) | 0.002 | 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".