Ethno-specific preferences of cigarette smoking and smoking initiation among canadian immigrants – A multi-level analysis
Bibliographic record
Abstract
Background: Cigarette smoking is the leading cause of preventable morbidity and mortality worldwide. Over the last decade, increased immigration has significantly shifted Canada’s demographic profile. According to a 2011 National Household Survey, approximately 20.6% of the Canadian population was immigrants, the highest among the G8 countries. It is estimated that by 2031, one-in-three Canadian’s will be an immigrant. This study examined the ethno-specific preference of cigarette smoking and smoking initiation among Canadian immigrants. Methods: This study used data from the 2013 to 2014 combined cycles of the Canadian Community Health Survey. This was a nationally generalizable, telephone-based survey that included a total of 130,000 respondents, aged 12 years or older. Ethnic differences in the preference of cigarette use among Canadian immigrant groups were determined. A three-level mixed effects logistic regression model was used to estimate the effect of ethnicity on the likelihood of smoking initiation after migration to Canada. Results: In our study, 82% of respondents were native-born Canadians (one group), while the rest were immigrants (six groups=18%). Results of the logistic regression analysis revealed statistically significant differences in the number of cigarettes smoked daily ( P =0.0001), age of smoking onset ( P =0.0001), and smoking initiation ( P =0.0001) between Canadian-born and immigrant participants. Immigrant smokers in Canada were significantly more likely to be younger, single, Caucasian, females with high income and post-secondary education ( P =0.0001). Conclusion: The results of our study suggest that Caucasian female immigrants in Canada initiated smoking at a younger age and smoked more cigarettes than any other immigrant group or native-born Canadians. This is a particularly interesting finding as Caucasian female immigrants may not be considered a vulnerable or at-risk population. To be effective, tobacco strategies specifically tailored for this overlooked population would require increased awareness, culturally appropriate initiatives, and gender-specific interventions. Keywords: cigarette smoking, initiation, ethnicity, immigrants, Canada
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".