Anxiety sensitivity and anxiety and depressive symptoms in the prediction of early smoking lapse and relapse during smoking cessation treatment
Bibliographic record
Abstract
INTRODUCTION: The present investigation examined whether anxiety sensitivity, relative to anxiety and depressive symptoms, was related to duration to early smoking lapse and relapse (during first 2 weeks postquit) among daily smokers receiving smoking cessation treatment. METHODS: Participants included 123 daily cigarette smokers (84 women; M(age) = 45.93 years, SD = 10.34) living in the Halifax Regional Municipality in Nova Scotia, Canada. RESULTS: Anxiety sensitivity was significantly associated with an increased risk of early smoking lapse (i.e., any smoking behavior) at days 1, 7, and 14 following the quit day. Such effects were evident above and beyond the variance accounted for by gender, nicotine dependence, and nicotine withdrawal symptoms, as well as the shared variance with prequit (baseline) anxiety and depressive symptoms. In contrast to expectation, anxiety sensitivity was not related to smoking relapse (i.e., seven consecutive days of smoking) during the first 2 weeks of quitting. DISCUSSION: Results are discussed in terms of better understanding the role of anxiety sensitivity, along with other affective vulnerability processes, in early problems encountered during a quit attempt.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".