Psychosomatic symptoms and alexithymia of the male patients with heroin dependence
Bibliographic record
Abstract
ObjectiveTo understand the relationship between psychosomatic symptoms and alexithymia, and the contributing factors to psychosomatic symptoms in male patients with heroin dependence(MPHD). Methods218 MPHD (study group) from Hunan province were assessed employing a self-developed data-collecting form, Symptom Checklist 90 (SCL-90), Toronto Alexithymia Scale (TAS), Heroin Craving Questionnaire (HCQ), Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS), and there were 194 MPHD finished the test effectively. 107 healthy men were assessed employing SCL-90 and TAS. ResultsCompared with the control group, MPHD had significant higher total and factor scores of SCL-90 and TAS(P0.05 or P 0.01). The total score of SAS, factor of TAS, drug abuse craving, the number of previous acute toxicosis and educated years entered the regression equation of SCL-90 in turn. ConclusionMPHD had severe psychosomatic symptoms and alexithymia, and there were significant associations between them. Alexithymia may be one of core psychological characteristics for heroin dependence. The worse psychosomatic status was impacted by multiple factors.
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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 | 0.000 |
| 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) | 0.001 | 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".