Reasons for not using smoking cessation aids
Bibliographic record
Abstract
BACKGROUND: Few smokers use effective smoking cessation aids (SCA) when trying to stop smoking. Little is known why available SCA are used insufficiently. We therefore investigated the reasons for not using SCA and examined related demographic, smoking behaviour, and motivational variables. METHODS: Data were collected in two population-based studies testing smoking cessation interventions in north-eastern Germany. A total of 636 current smokers who had never used SCA and had attempted to quit or reduce smoking within the last 12 months were given a questionnaire to assess reasons for non-use. The questionnaire comprised two subscales: "Social and environmental barriers" and "SCA unnecessary." RESULTS: The most endorsed reasons for non-use of SCA were the belief to be able to quit on one's own (55.2%), the belief that help is not necessary (40.1%), and the belief that smoking does not constitute a big problem in one's life (36.5%). One quarter of all smokers reported that smoking cessation aids are not helpful in quitting and that the aids cost too much. Smokers intending to quit agreed stronger to both subscales and smokers with lower education agreed stronger to the subscale "Social and environmental barriers". CONCLUSION: Main reasons for non-use of SCA are being overly self-confident and the perception that SCA are not helpful. Future interventions to increase the use of SCA should address these reasons in all smokers.
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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 | 0.001 | 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 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".