Smoking cessation attempts and successes among Nunavimmiut
Bibliographic record
Abstract
OBJECTIVES: The smoking rate in Canada has declined in past decades, yet smoking rates remain high in Nunavik (northern Québec), where an estimated 80% of adult respondents smoke. We investigated sociodemographic factors, smoking behaviours, harm perception, and social support as determinants of smoking cessation attempts and successes among Nunavimmiut. METHODS: Past year smoking frequency, quantity smoked, and cessation attempts and aids were documented in a sample of 1326 Nunavimmiut aged 16 and over in the Qanuilirpitaa? 2017 survey. Sociodemographic indicators, social support, cessation aids, and smoking harm perception were investigated as potential determinants. All factors were modeled by logistic regressions and adjusted for age and sex. RESULTS: Thirty-nine percent of smokers tried to quit smoking in the preceding year, and 6% of those were successful. Older Nunavimmiut (aOR = 0.84 [0.78, 0.90]) and those smoking 20 + cigarettes/day (aOR = 0.94 [0.90, 0.98]) were less likely to attempt to quit. Ungava coast residents (aOR = 1.87 [1.36, 2.57]), separated/widowed/divorced individuals (aOR = 2.43 [1.09, 5.38]), and occasional smokers (aOR = 2.77 [1.61, 4.76]) compared to those living on the Hudson coast, single individuals, and daily smokers, respectively, were more likely to report cessation attempts. Most used no particular cessation aid (58%), 28% relied on family/self-help/support programs, and 26% used medication. Women were more likely to rely on spirituality/traditional methods (aOR = 1.92 [1.00, 3.71]) and less likely to rely on electronic cigarettes (aOR = 0.33 [0.13, 0.84]), as were older participants (aOR = 0.67 [0.49, 0.94]). Those with more years of schooling were more likely to rely on electronic cigarettes (aOR = 1.47 [1.06, 2.02]). These estimates are prone to biases due to the relatively low participation rate in the survey (37%). CONCLUSION: Despite many attempts reported by participants, regional partners of this study underlined that successful smoking cessation remains a challenge for many Nunavimmiut. Key differences were identified in approaches and determinants of smoking cessation attempts, but most smokers did not use cessation aids. These results are in line with the experience of the Inuit partners of this study and can inform targeted public health interventions to support the many Nunavimmiut trying to quit smoking, notably increasing accessibility and acceptability of cessation aids. Inuit partners of this study highlighted the importance for interventions and communication efforts to reflect Nunavik's context.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".