The student and school neighbourhood characteristics associated with smoking susceptibility, experimental and established smoking among secondary school students (grades 9 to 12) in Canada
Bibliographic record
Abstract
Objective: The purpose of this dissertation was to examine which student- and school-level factors differentiated (1) susceptible never smokers from non-susceptible never smokers, (2) experimental smokers from never smokers, and (3) current smokers from experimental smokers among a nationally representative sample of Canadian students in grade 9-12. \nMethods: Student-level data from Canada’s nationally representative 2008-2009 Youth Smoking Survey (2008 YSS) were linked with school-level data from the 2006 Census, and one built environment characteristic, and examined using multi-level logistic regression analyses. \nResults: Overall as hypothesized in these three studies, student-level and school-level characteristics were associated with smoking susceptibility among never smokers, experimental smoking and current smoking. The likelihood of susceptibility among never smokers (P=0.0002), experimental smoking (P<0.0001) and current smoking (P<0.001) significantly varied across schools. This study identified that attending a school in an urban (AOR=0.62; 95% CI 0.46-0.82) setting or in a high socioeconomic status (SES) neighbourhood (AOR=0.88; 95% CI 0.79-0.98) was inversely associated with odds of a student being an experimental smoker (versus a never smoker) when adjusting for student-level characteristics. The number of tobacco retailers located within a 1-km radius of each school was associated with the odds of a student being a current smoker (versus an experimental smoker) (AOR 1.03; 95% CI 1.01-1.05) and also associated with a student being a susceptible never smoker (versus a non-susceptible never smoker) (AOR 1.01; 95% CI 1.00-1.02) when adjusting for student-level characteristics. Additionally, several student-level intrapersonal and social context characteristics were associated with smoking susceptibility, experimental smoking and current smoking. \nConclusions: This study showed that the characteristics of the school a student attends may increase their likelihood of a student being in any of the smoking stages that were examined. Additionally, several student-level factors were also associated with the three smoking stages. Understanding these factors will provide more insight to guide stakeholders interested in developing anti-tobacco strategies that are responsive to the risk and protective factors of adolescents in different smoking stages.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".