Pathopsychological features of emotional and cognitive disorders in the structure of post-COVID syndrome
Bibliographic record
Abstract
In the course of the work to study the pathopsychological features of emotional and cognitive disorders in the structure of post-COVID syndrome, a comprehensive clinical-psychopathological and psychodiagnostic examination of 167 patients both sexes (85 women and 82 men) with non-psychotic mental disorders against the background of COVID was conducted. It has been established that the dominance in the structure of mental disorders against the background of COVID-19 is complaints of decreased mood, apathy, inactivity, loss of a sense of joy and pleasure, feelings of anxiety, constant internal tension, anxiety over trifles, irritability and impatience, decreased memory, concentration, absent-mindedness, learning difficulties, difficulty concentrating on tasks, decreased performance, and sleep disorders. It was established that the clinical picture of mental disorders in the examined patients is represented by depressive (29.1% of men and 32.1% of women), anxiety (31.4% and 33.4% respectively), astheno-neurotic (24.2% of men and 19.6% of women) and cognitive (15.3% and 14.9% respectively) syndromes. The examined patients are characterized by peaks on the scales of depression, anxiety, somatization, obsessive-compulsive, phobic anxiety and interpersonal sensitivity according to the Symptom Check List-90-Revised; the predominance of severe depressive and anxiety episodes and moderate depressive episodes according to The Hamilton Anxiety and Depression Scale; the dominance of high levels of situational and personal anxiety according to The State-Trait Anxiety Inventory; the presence of mild and moderate cognitive impairments according to the Montreal Cognitive Assessment and Mini-Mental State Examination; decrease in overall cognitive performance according to Addenbrooke’s cognitive examination. Keywords: anxiety, depression, COVID-19, cognitive dysfunction.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".