The Impact of Gender, Depression, and Personality on Cravings
Bibliographic record
Abstract
Craving plays an important role in the addictive behavior process. The impact of gender, emotional state and personality on craving, however, has been understudied. Ninety-six women and 86 men seeking treatment for substance dependence were investigated regarding the association between personality factors (assessed by the Temperament and Character Inventory), depressive/anxiety symptomatology (assessed by the Beck Depression Inventory and the Beck Anxiety Inventory), and craving intensity (rated in the 7-day and the 24-hour periods prior to assessment). Recency of substance use and impulsivity were significantly associated with craving intensity for both women and men. Regression analyses revealed that depression best predicted craving for women, but not for men. These results suggest that while recent substance use and impulsivity can be important predictors of craving across gender, depression plays a critical role in craving among women. This finding underscores the need for vigorous assessment and treatment of comorbid symptomatology in women entering addiction treatment.
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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 | 0.000 | 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".