EMOTIONAL DISTRESS AS A RISK FA CTOR FOR CORONARY HEART DISEASE IN CLINICALLY HEALTHY MEN WITH ALEXITHYMIA
Bibliographic record
Abstract
Objective: To identify emotional distress as a risk factor for development of coronary heart disease (CHD) in clinically healthy males with alexithymia. Materials and methods: We examined 89 clinically healthy males (mean age — 43.7 [39.0; 43.5] years) using Ch. Spielberger–Yu.Khanina tests, S. Subbotin and the Toronto Alexithymic Scale (TAS). Results: It was found that more than half of the respondents can be associated with alexithymia or they had its obvious clinical manifestations. As the severity of alexithymia increased, there was an increase in the levels of personal anxiety and a decrease in stress resistance that may increase the risk of developing coronary heart disease. Conclusion. Therefore, clinically healthy males with alexithymia of varying severity need psychological support to increase the effectiveness of primary prevention of CHD.
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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 | 0.000 |
| 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".