Mediator role of experiential avoidance in relationship of perceived stress and alexithymia with mental health
Bibliographic record
Abstract
Rle de mdiation de l'vitement exprientiel dans le rapport entre stress peru, alexithymie et sant mentale RSUM La prsente tude transversale a examin le rle de mdiation de l'vitement exprientiel dans le rapport entre le stress peru, l'alexithymie et la sant mentale. Nous avons inscrit dans cette tude 440 tudiants (ge compris entre 18 et 30 ans) de l'Universit des Sciences mdicales de Kermanshah par la mthode d'chantillonnage alatoire stratifi. Les instruments utiliss dans l'tude taient la liste de contrle dmographique, le questionnaire sur la sant gnrale en 28 items, l'chelle d'Alexithymie de Toronto 20 items et l'chelle de mesure du stress peru. Les donnes ont t analyses au moyen des logiciels SPSS-18 et AMOS-18 en recourant la corrlation de Pearson, l'analyse de rgression hirarchique et la modlisation par quation structurelle. Il y avait une corrlation positive significative entre le stress peru et l'vitement exprientiel, et l'alexithymie et les problmes de sant mentale (p<0,001). La modlisation par quation structurelle a montr que la relation entre le stress peru et les problmes de sant mentale causs par l'vitement exprientiel tait 0,19 [( =0,19; erreur standard (ES)=0,09 ; p=0,001], et que la relation entre l'alexithymie et les problmes de sant mentale causs par l'vitement exprientiel tait 0,09 [( =0,09; ES=0,43; p=0,001.] Le rle de mdiation de l'vitement exprientiel a t confirm de telle sorte que les effets de l'alexithymie et du stress peru diminuent.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".