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Record W6999394994

Characteristics of smokers with depression in Australian primary care.

2012· article· en· W6999394994 on OpenAlexfundno aff

Bibliographic record

VenueUNSWorks (UNSW Sydney) · 2012
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of TorontoNational Cancer InstituteNational Institutes of HealthKing's College LondonOntario Ministry of Research and InnovationCentre for Addiction and Mental Health FoundationNational Institute on Drug AbuseTobacco-Related Disease Research Program
KeywordsDepression (economics)Primary carePopulationDiseaseEpidemiologySmoking cessation
DOInot available

Abstract

fetched live from OpenAlex

Affective models of nicotine dependence often highlight negative emotions as a primary determinant of tobacco use.However, it is often overlooked that anhedoniadiminished capacity to experience pleasure-is a unique aspect of affective experience that putatively motivates tobacco use.Clarifying the role of anhedonia in nicotine dependence is important for advancing models of addiction, elucidating nicotine neuropsychopharmacology, and developing novel tobacco use interventions.One barrier to advancing this research area, however, is that a variety of perspectives have been employed to study anhedonia in nicotine dependence but there have been few attempts to integrate across perspectives.The focus of this symposium is to integrate and discuss new research on anhedonia in nicotine dependence from several scientific perspectives: (a) pre-clinical animal models; (b) human laboratory; (c) naturalistic research; and (d) clinical settings.Collectively, this symposium will address the role of anhedonia in various stages of the nicotine dependence process (onset, maintenance, cessation/relapse).The session will begin with the chair briefly reviewing the anhedonia concept, methods to studying anhedonia, and anhedonia's relevance for nicotine and tobacco research.Then, Dr. D'Souza will present data from a preclinical study examining the role of glutamatergic neurotransmission in the nucleus accumbens as a mechanism of withdrawal-induced anhedonia and nicotine-seeking behavior in rats.Dr. Leventhal will present data from a human laboratory study examining trait anhedonia as a predictor of diminished sociocognitive reward processing in acutely abstinent cigarette smokers.Dr. Audrain-McGovern will present data from a naturalistic longitudinal study of trait anhedonia as a risk factor for smoking progression in adolescence.Dr. Cook will present data from a large smoking cessation trial that examines changes in anhedonia before and after quitting smoking and the clinical relevance of such changes.Finally, Dr. Hughes will briefly summarize and integrate the four presentations and lead a discussion with a view toward clinical translation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.106
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.267
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractno

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