An examination of exposure and avoidance behavior related to second-hand cigarette smoke among adolescent girls in Canada
Bibliographic record
Abstract
BACKGROUND: Although rates of tobacco use and exposure to second-hand smoke (SHS) are declining in Canada, SHS exposure among non-smoking adolescents remains high. This study aimed to describe frequency, locations, and avoidance behavior related to SHS exposure among adolescent girls in British Columbia, Canada. METHODS: Data were analyzed from 841 adolescent girls aged 13 to 15 years old who completed an internet-delivered survey as part of a cohort study examining SHS exposure and substance use. Measures assessed demographics, smoking behavior and intentions, frequency and locations of SHS exposure, and avoidance behavior related to SHS. RESULTS: Excluding their own smoking, 27% of girls reported exposure at least once a week and an additional 17% reported daily or almost daily exposure over the past month. Among girls who reported daily or almost daily exposure, the locations of most frequent levels of high exposure were in the home, at or near school, inside a vehicle, and outdoor public places. Avoidance behavior related to SHS exposure significantly differed by overall SHS exposure in the past month. CONCLUSIONS: Despite historically low smoking rates, many adolescent girls continue to report regular SHS exposure in multiple locations in British Columbia. Girls with the most frequent exposure were significantly less likely to report habitual avoidance behavior related to SHS compared to those less frequently exposed. This study elucidates settings of high SHS exposure among adolescent girls that could be targeted in future policy interventions. Additionally, future interventions could target adolescent girls who are frequently exposed to SHS and report infrequent avoidance behavior around their SHS exposure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| 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".