Postquitting experiences and expectations of adult smokers and their association with subsequent relapse: Findings from the International Tobacco Control (ITC) Four Country Survey
Bibliographic record
Abstract
INTRODUCTION: This paper explores postquitting experiences and expectations of adult ex-smokers and their utility as predictors of smoking relapse after prolonged abstinence. METHODS: Data are from 1,449 ex-smokers (providing 2,234 observations) recruited as smokers as part of the International Tobacco Control (ITC) Four Country Survey (Australia, Canada, the United Kingdom, and the United States) but surveyed after they had quit. Controlling for length of time quit, reported postquitting experiences, and expectations assessed at one of three waves were used as predictors. Smoking status (whether they had relapsed) at the next wave was used as the outcome of interest. RESULTS: Postquitting experiences and expectations, such as capacity to enjoy life's simple pleasures, ability to cope with stress, ability to control negative emotions, and health concerns, changed systematically over time but at different rates. The trajectory of change for life enjoyment and health concerns followed a rapidly asymptoting logarithmic function, while that of stress and negative affect coping followed a slower asymptoting square root function. After controlling for sociodemographic and abstinence duration, only reported decline in capacity to control negative affect since quitting was associated with increased relapse risk. DISCUSSION: The varying patterns of change in postquitting experiences suggest that psychological gains over time following smoking cessation do not all occur at the same rate. The relative importance of each factor in maintaining abstinence is also not the same with deficits in perceived control of negative emotions being the only one predictive of subsequent relapse. Strategies to improve impulse control over negative emotions postquitting may help to reduce relapse risk.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".