Prevalence and characteristics of smoking cigarette and narghile among Syrian refugee parents in Ontario, Canada
Bibliographic record
Abstract
This study aimed to explore the prevalence and associated sociodemographic, migration, and health-related factors of smoking cigarettes and narghile among Syrian refugee parents resettled in Ontario, Canada since 2015. A total of 540 Syrian refugee parents, with at least one child less than 18 years of age, were interviewed. Multivariate logistic regression analysis was performed to assess the independent relationship between each of the associated sociodemographic, migration, and health-related factors and smoking cigarettes and narghile. The overall prevalence of smoking was 43% (cigarette = 22%, narghile = 25.6%). The average number of cigarettes smoked per day was 15.4 (SD = 10.1). With regard to smoking narghile, 18.2% of the sample smoked daily, while 35.5% and 52.9% smoked at least once weekly and occasionally, respectively. Results from multivariate logistic regression analysis showed that more fathers were at increased odds of smoking cigarettes than mothers OR (95% CI) = 6.6 (3.7-11.9), while no such difference was found for narghile smokers OR (95% CI) = 1.5 (0.9-2.6). Results showed that smoking cigarettes was associated with lower education levels and being Muslim, whereas smoking narghile was associated with younger age and alcohol use. Poor perceived mental health was significant/approached significance for both types of smoking. Greater understanding of smoking patterns of resettled refugees is needed to direct healthcare providers to offer targeted interventions for those who are most at risk.
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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".