Emotional Dispositions and Substance Use: Mediating Effect of Alexithymia
Bibliographic record
Abstract
Substance consumption behaviors can range from use to abuse, the latter including addictive behaviors. Relationships between emotionality, alexithymia and substance-consumption behaviors among young adults were investigated through an explanatory model wherein alexithymia fulfills a mediating function by acting as an emotion-adjustment process. 256 students (62.1% women) with a mean age of 20.7 yr. (SD = 1.6), enrolled at two universities in southern France took part in the study. They filled out a substance-use questionnaire, the Emotionnalité positive et négative a 31 (EPN-31) emotionality scale, and the 20-item Toronto Alexithymia Scale (TAS-20). Mediation analyses validated the hypothesis that emotional dimensions of alexithymia act as mediators between emotionality (negative emotionality and emotional arousal) and substance use. As a mediating factor, alexithymia may be regarded as a type of operational process that regulates emotions. These results could have important implications for clinical and therapeutic applications focusing on emotion-regulation strategies and substance use.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".