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Record W2056795676 · doi:10.1136/ebmh.9.4.113

Lifetime mood, anxiety, and drug use disorders are common in the United States population

2006· letter· en· W2056795676 on OpenAlex
Shay‐Lee Bolton, Jitender Sareen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvidence-Based Mental Health · 2006
Typeletter
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAnxietyMoodDrugPsychiatryMood disordersPopulationClinical psychologyPsychologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Conway KP, Compton W, Stinson FS, et al . Lifetime comorbidity of DSM-IV mood and anxiety disorders and specific drug use disorders: results from the national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry 2006;67:247–57.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What are the national lifetime prevalence and associations of specific mood, anxiety, and drug use disorders in the United States? ### ![Graphic][5]</img>Design: Cross sectional study. ### ![Graphic][6]</img>Setting: General population, US, 2001–02. ### ![Graphic][7]</img>Population: 43 093 people aged over 18 years old (National Epidemiological Survey on Alcohol and Related Conditions (NESARC) sample). ### ![Graphic][8]</img>Assessment: Face to face interview using the Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-IV Version. The anxiety and mood disorder diagnoses assessed were social phobia, generalised anxiety disorder, specific phobia, panic disorder (with and without agoraphobia), mania, hypomania, dysthymia, and major depression. People with mood and anxiety disorders solely due to drug use, bereavement, or a medical condition were excluded from analyses. The … [1]: {openurl}?query=rft.jtitle%253DThe%2BJournal%2Bof%2Bclinical%2Bpsychiatry%26rft.stitle%253DJ%2BClin%2BPsychiatry%26rft.aulast%253DConway%26rft.auinit1%253DK.%2BP.%26rft.volume%253D67%26rft.issue%253D2%26rft.spage%253D247%26rft.epage%253D257%26rft.atitle%253DLifetime%2Bcomorbidity%2Bof%2BDSM-IV%2Bmood%2Band%2Banxiety%2Bdisorders%2Band%2Bspecific%2Bdrug%2Buse%2Bdisorders%253A%2Bresults%2Bfrom%2Bthe%2BNational%2BEpidemiologic%2BSurvey%2Bon%2BAlcohol%2Band%2BRelated%2BConditions.%26rft_id%253Dinfo%253Adoi%252F10.4088%252FJCP.v67n0211%26rft_id%253Dinfo%253Apmid%252F16566620%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=10.4088/JCP.v67n0211&link_type=DOI [3]: /lookup/external-ref?access_num=16566620&link_type=MED&atom=%2Febmental%2F9%2F4%2F113.atom [4]: /lookup/external-ref?access_num=000235931000011&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.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.

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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.048
GPT teacher head0.364
Teacher spread0.315 · 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