Knowledge and Beliefs about the Inclusion of Health Warnings on Waterpipe Tobacco Packaging in Jordan
Bibliographic record
Abstract
BACKGROUND: Article 11 of WHO-FCTC strategies emphasize the need for countries to include health warnings on packages of tobacco products. This study aims to assess Jordanian people, aged 13 years and above knowledge and beliefs about the inclusion of health warning labels on waterpipe tobacco packages. METHODS: A descriptive cross-sectional approach was conducted among youth and adults aged 13 years and above. The sample was recruited from public schools, universities, and a governmental public service agency. Data collection was done through an electronic survey using Tablets. RESULTS: A total of 1067 participated in the study, with ages ranging between 13– 63 years old with a mean (20.9, SD= ± 6.1). Study participants mainly consisted of students making (86.7%) of the total sample. These students were in secondary education school (19.3%) or attending university (67.4%). Findings indicated that participants tobacco smoking status were non-smokers, single type smoker, dual smoker, and triple smokers (67.8%, 21.6%, 6.8%, and 3.7% respectively). In comparison the prevalence of smoking single tobacco type, dual smoking, and triple smokers tobacco products was statistically higher among males than females (11.1%-10.6%, 5.1%-1.8%, and 3.1%-0.7% respectively). Eighty-seven percent knew that waterpipe smoking is harmful and would support the inclusion of health warnings on the tobacco packet. Thirty percent indicated that the inclusion of health warnings will greatly improve their knowledge of the harmful effects of tobacco smoking. CONCLUSION: The current study shows that participants believe including health warnings on waterpipe tobacco package would help smokers to think about 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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".