[Impact of intervention on tobacco related knowledge, attitudes and practice of smokers].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of intervention on tobacco related knowledge, attitudes and practice of smokers. METHODS: An observational study was conducted among the smokers seeking counsel at smoking cessation clinic in our hospital from October 2008 to August 2013. First, a face to face counsel and mental intervention for more than 30 minutes was given to smoker, then 4 interventions through telephone call for 15-20 minutes for each time were conducted 1 week later, 1 month later, 3 months later and 6 months later, respectively. The controls were smokers receiving health examination in our hospital. No interventions were conducted among them. The tobacco related knowledge, attitudes and practice at baseline survey and follow up 1 year later were compared between intervention group and control group. RESULTS: The intervention group included 414 smokers and the control group included 213 smokers. Intentional analysis indicated that the awareness/acceptance rates of 5 items about tobacco related knowledge and attitudes at follow up 1 year later was higher than those at baseline survey in intervention group. The smoking cessation rate was 27.3% in intervention group and 4.7% in control group. Multivariate logistic regression analysis indicated that the smoking cessation rate was positively correlated with intervention, female, highly nicotine dependence and positive change of tobacco related knowledge and attitudes (smoking can cause heart disease, all kinds of tobacco advertisements should be prohibited, smoking waste money and restaurant should be smoking free) with OR (95% CI): 2.85 (2.00-4.07), 3.34 (1.23-9.07), 2.78 (1.64-4.72), 2.30 (1.03-5.15), 5.33 (1.47-19.32), 6.32 (1.56-25.62) and 10.47 (2.25-48.84), respectively. CONCLUSION: The awareness rate of tobacco related harm was high among the smokers seeking counsel at smoking cessation clinic. Systematic smoking cessation intervention can improve smokers' tobacco related knowledge and attitudes and increase smoking cessation rate.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".