Prospective evaluation of the effects of anxiety sensitivity and state anxiety in predicting acute nicotine withdrawal symptoms during smoking cessation.
Bibliographic record
Abstract
The current investigation explored the main and interactive effects of anxiety sensitivity (AS) and state anxiety in predicting acute nicotine withdrawal symptoms experienced during the initial 14 days of smoking cessation. Participants included 123 adult daily smokers (84 women; Mage = 45.93 years, SD = 10.34) undergoing psychosocial-pharmacological cessation treatment. Results indicated that after controlling for the effects of participant sex and nicotine dependence, state anxiety but not AS significantly predicted initial levels of nicotine withdrawal symptoms. Results also demonstrated that both state anxiety and AS were significantly related to the change in nicotine withdrawal symptoms over time. Finally, our results revealed a significant interaction between AS and state anxiety. Specifically, higher levels of AS were associated with a stronger relation between state anxiety and nicotine withdrawal symptoms experienced during the cessation attempt. Results suggest that among high AS persons, state anxiety may be more relevant, compared to those low in AS, in regard to experiencing withdrawal symptoms as more intense during the early phases of quitting.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".