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Record W2055923487 · doi:10.4088/jcp.v64n0413

Factors at Play in Faster Progression for Female Pathological Gamblers

2003· article· en· W2055923487 on OpenAlexaff
Hermano Tavares, Sílvia S. Martins, Daniela S. S. Lobo, Camila Magalhães Silveira, Valentim Gentil, David C. Hodgins

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2003
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTelescoping seriesComorbidityPsychologyImpulse control disorderAddictionPsychiatryClinical psychologyDepression (economics)PathologicalBehavioral addictionAlcohol abuseGambling disorderMedicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Previous studies reported a faster progression for alcohol dependence and pathological gambling among females as compared with males. This phenomenon was called the "telescoping effect." By comparing female gamblers with male gamblers regarding gambling preferences and comorbidity, the authors explored potential risk factors for telescoping. METHOD: A consecutive sample of Brazilian treatment-seeking pathological gamblers (DSM-IV criteria) was recruited. Genders were contrasted regarding comorbidity and gambling behavior, controlling for demographics, gambling severity, and previous access to mental health services. RESULTS: Seventy female gamblers and 70 male gamblers were interviewed. A greater proportion of women than men reported electronic bingo and video lottery terminals as their main type of gambling. Gambling was divided in 3 progressive stages: "social gambling," "intense gambling," and "problem gambling." Faster progression for female gamblers was confirmed; female gender and preference for electronic bingo and/or video lottery terminals were risk factors for telescoping throughout all stages. Female gamblers presented a higher comorbidity with depression, whereas male gamblers had higher rates of alcohol dependence. Nevertheless, comorbidity profiles were not related to gambling progression. CONCLUSION: Two factors could be at play for treatment-seeking female gamblers in Brazil: (1) a potential gender vulnerability and (2) a cultural environment yielding them access to a narrower range of gambling games that includes mainly the most addictive ones.

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)0.003
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 score0.007
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
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 head0.333
GPT teacher head0.530
Teacher spread0.198 · 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

Citations136
Published2003
Admission routes1
Has abstractyes

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