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Predictors of smoking relapse by duration of abstinence: findings from the International Tobacco Control (ITC) Four Country Survey

2009· article· en· W1971588711 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAddiction · 2009
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
FundersNational Cancer InstituteCanadian Institutes of Health ResearchCancer Research UK
KeywordsAbstinenceSmoking cessationTobacco controlMedicineNicotineNicotine dependenceRelapse preventionSelf-efficacyClinical psychologyPsychologyTelephone surveyDemographyPsychiatryPublic healthSocial psychology

Abstract

fetched live from OpenAlex

AIM: To explore predictors of smoking relapse and how predictors vary according to duration of abstinence. DESIGN, SETTING AND PARTICIPANTS: A longitudinal survey of 1296 ex-smokers recruited as part of the International Tobacco Control (ITC) Four Country Survey (Australia, Canada, United Kingdom and United States). Measurements Quitters were interviewed by telephone at varying durations of abstinence (from 1 day to approximately 3 years) and then followed-up approximately 1 year later. Theorized predictors of relapse (i.e. urges to smoke; outcome expectancies of smoking and quitting; and abstinence self-efficacy) and nicotine dependence were measured in the survey. FINDINGS: Relapse was associated with lower abstinence self-efficacy and a higher frequency of urges to smoke, but only after the first month or so of quitting. Both these measures mediated relationships between perceived benefits of smoking and relapse. Perceived costs of smoking and benefits of quitting were unrelated to relapse. CONCLUSIONS: Challenging perceived benefits of smoking may be an effective way to increase abstinence self-efficacy and reduce frequency of urges to smoke (particularly after the initial weeks of quitting), in order to reduce subsequent relapse risk.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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