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Record W1972427962 · doi:10.1300/j069v26n01_10

The Impact of Gender, Depression, and Personality on Cravings

2007· article· en· W1972427962 on OpenAlexaff
Monica L. Zilberman, Hermano Tavares, David C. Hodgins, Nady el‐Guebaly

Bibliographic record

VenueJournal of Addictive Diseases · 2007
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCravingBeck Depression InventoryPsychologyBeck Anxiety InventoryAnxietyImpulsivityClinical psychologyPersonalityPsychiatryDepression (economics)AddictionTemperament and Character InventoryBig Five personality traitsSocial psychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.369
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2007
Admission routes1
Has abstractyes

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