Tobacco use and khat chewing among adolescents in Yemen: a large-scale school-based cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: The present study sought to assess the prevalence and determinants of tobacco use (cigarette smoking and shisha use) and khat chewing among Yemeni adolescents, and to evaluate their knowledge and attitudes toward these habits. METHODS: This school-based cross-sectional study was conducted among 13 to 19-year-old students attending middle/high schools (both private and public) across five main cities in Yemen. Data were collected using self-administered questionnaires comprising questions/items related to sociodemographic data, cigarette smoking, shisha use, khat chewing, and knowledge on and attitudes toward these habits. Bivariate and multivariate analyses were used to explore the most determinant factors. RESULTS: A total of 7505 students were recruited from 42 schools across five major cities in Yemen. The prevalence rates of khat chewing, cigarette smoking, and shisha use were 42.4%, 6.8%, and 19.3%, respectively. Compared to females, male subjects reported significantly higher prevalence of khat chewing (51.4% vs. 23.5%, p < 0.001), shisha use (20.3% vs. 17.2%, p < 0.01), and cigarette smoking (8.8% vs. 2.6%, p < 0.001). Male gender, older age, poor knowledge, khat chewing, parents' low education level, and parents' and peers' smoking habits were significant determinants of adolescents' cigarette smoking status. Private education, male gender, older age, poor knowledge, parents' low education level, and parents' and peers' khat chewing habits were significant determinants of adolescents' khat chewing status. The participant's knowledge of and attitudes toward tobacco use and khat chewing were inadequate. CONCLUSION: The prevalence of khat chewing, shisha use, and to lesser extent cigarette smoking among Yemeni adolescents is high that needs immediate intervention. The results highlight the urgent need to implement prevention strategies to tackle these habits among the youth in Yemen.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".