Features of the development of stress-related disorders with concomitant sleep disturbances due to military events
Bibliographic record
Abstract
The aim of this study was to assess the features of the development of stress-related with concomitant sleep disorders as a result of military events, by comparing the indicators in groups according to the level of manifestation of post-traumatic symptoms and determining the relationships according to the indicators of the results of diagnostic scales. The study data included Ukrainian-language: demographic data, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Questionnaire-7 (GAD-7), PTSD Symptom Checklist for DSM-5 (PCL-5), Pittsburgh Sleep Quality Questionnaire (PSQQ), Toronto Alexithymia Scale (TAS-26) and Quality of Life Scale edited by Prof. Chaban (CQLS). Statistical analysis includes descriptive statistics and Pearson correlation, which was carried out using SPSS Statistics 23.0 software. The study population consists (N=111, women (76.5%) and men (23.5%)). Strong, significant positive associations were found between all scale scores, including: PTSD, depression, anxiety, alexithymia, sleep and subjective quality disorders, latency, duration, daytime functioning disorders, and treatment (p > 0.001). In addition to treatment scores with anxiety, sleep latency, and duration (p>0.01). Strong negative correlations were found between the quality of life scores and other scores (p > 0.001), latency (p > 0.01), and sleep duration, and daytime functioning disorders and age (p > 0.05). Consequently, significant associations were found between higher rates of sleep disturbance and symptoms of PTSD, anxiety, depression, alexithymia, and poor quality of life.
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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 | 0.000 | 0.001 |
| 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".