The relationship of alexithymia with depression, anxiety, stress, and fatigue among people under addiction treatment
Bibliographic record
Abstract
Aim and Background: Addicted people suffer from many psychiatric disorders. Therefore, this study was conducted to examine the relationship of alexithymia with depression, anxiety, stress, and fatigue among people under addiction treatment referred to Addiction Treatment Centers in the west of Mazandaran, Iran. Materials and Methods: The research method is of correlational type. Statistical population of the study included all 20–50-year-old men referring to Addiction Treatment Centers in the west of Mazandaran. The study sample size included a cluster of 304 members who were randomly chosen among people referred to these centers at the first half of 2015. Sample members who participated in research filled out questionnaires such as Depression, Anxiety, Stress scale 21, Toronto Alexithymia Scale 20, and Fatigue Inventory of Chalder. The obtained data were analyzed using regression test through SPSS version 22 software. Findings: The findings indicated that there is a significant relationship between alexithymia with depression, anxiety, stress, and fatigue among people under addiction treatment (P
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".