Smokers with financial stress are more likely to want to quit but less likely to try or succeed: findings from the International Tobacco Control (ITC) Four Country Survey
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To examine the association of financial stress with interest in quitting smoking, making a quit attempt and quit success. DESIGN AND PARTICIPANTS: The analysis used data from 4984 smokers who participated in waves 4 and 5 (2005-07) of the International Tobacco Control (ITC) Four Country Survey, a prospective study of a cohort of smokers in the United States, Canada, the United Kingdom and Australia. MEASUREMENT: The outcomes were interest in quitting at wave 4, making a quit attempt and quit success at wave 5. The main predictor was financial stress at wave 4: '. . . because of a shortage of money, were you unable to pay any important bills on time, such as electricity, telephone or rent bills?'. Additional socio-demographic and smoking-related covariates were also examined. FINDINGS: Smokers with financial stress were more likely than others to have an interest in quitting at baseline [odds ratio (OR): 1.63; 95% confidence interval (CI): 1.22-2.19], but were less likely to have made a quit attempt at follow-up (OR: 0.74; 95% CI: 0.57-0.96). Among those who made a quit attempt, financial stress was associated with a lower probability of abstinence at follow-up (OR: 0.53; 95% CI: 0.33-0.87). CONCLUSIONS: Cessation treatment efforts should consider assessing routinely the financial stress of their clients and providing additional counseling and resources for smokers who experience financial stress. Social policies that provide a safety net for people who might otherwise face severe financial problems, such as not being able to pay for rent or food, may have a favorable impact on cessation rates.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it