MétaCan
Menu
Back to cohort
Record W2044812988 · doi:10.1136/ebmh.8.2.54

Lifetime alcohol abstainers and moderate drinkers have a lower lifetime prevalence of mood and anxiety disorders than problem drinkers

2005· letter· en· W2044812988 on OpenAlexaboutno aff
Sami Pirkola

Bibliographic record

VenueEvidence-Based Mental Health · 2005
Typeletter
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyMedicineMoodPsychiatryPopulationAlcohol consumptionAlcoholDemographyEnvironmental healthChemistry

Abstract

fetched live from OpenAlex

Sareen J, McWilliams L, Cox B, et al . Does a U-shaped relationship exist between alcohol use and DSM-III-R mood and anxiety disorders? J Affect Disord 2004;82:113–18.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Is the lifetime prevalence of mood and anxiety disorders similarly high in people with high lifetime levels of alcohol consumption and in lifetime alcohol abstainers? ### ![Graphic][5]</img>Design: Cross-sectional study. ### ![Graphic][6]</img>Setting: Canada; date of surveys not stated. ### ![Graphic][7]</img>Population: 13 781 respondents from the National Co-morbidity Survey (NCS; n = 6780; 21–54 years old, non-institutionalised individuals) and the Mental Health Supplement of the Ontario Health Survey (OHS; n = 7001; 19–64 years old; province-wide survey), categorised into three groups based on lifetime alcohol consumption: alcohol abstainers, moderate drinkers, and problem drinkers. Abstainers reported never drinking more than 12 drinks in any one year, problem drinkers had received a DSM-III-R diagnosis of alcohol abuse, dependence or a subthreshold diagnosis of “hazardous alcohol use”, and all other respondents were categorised as moderate drinkers. … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Baffective%2Bdisorders%26rft.stitle%253DJ%2BAffect%2BDisord%26rft.aulast%253DSareen%26rft.auinit1%253DJ.%26rft.volume%253D82%26rft.issue%253D1%26rft.spage%253D113%26rft.epage%253D118%26rft.atitle%253DDoes%2Ba%2BU-shaped%2Brelationship%2Bexist%2Bbetween%2Balcohol%2Buse%2Band%2BDSM-III-R%2Bmood%2Band%2Banxiety%2Bdisorders%253F%26rft_id%253Dinfo%253Adoi%252F10.1016%252Fj.jad.2002.12.001%26rft_id%253Dinfo%253Apmid%252F15465583%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/j.jad.2002.12.001&link_type=DOI [3]: /lookup/external-ref?access_num=15465583&link_type=MED&atom=%2Febmental%2F8%2F2%2F54.atom [4]: /lookup/external-ref?access_num=000224670500013&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.298
Teacher spread0.274 · 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.

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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based Mental HealthSame topicSubstance Abuse Treatment and OutcomesFrench-language works237,207