Exposure to Second-hand Smoke and Having Regular Family Physicians Are Associated With Cessation of Smoking During Pregnancy: A Population-based Study
Bibliographic record
Abstract
Background: The association of second-hand smoke with prenatal smoking cessation is less studied, and so is the family physician’s role in prenatal smoking cessation. We examined the association between second-hand smoke during pregnancy and having a regular family physician with prenatal smoking cessation in a representative sample of Canadian households. Method: We used the data from Canadian Community Health Surveys (CCHS), 2017–2018, with a sample of 838 women who reported regular (every day) smoking within the 3 months before knowing their last pregnancy. The outcome variable was dichotomized as cessation or continuation of smoking during pregnancy. We used multivariable logistic regression, adjusted for socio-demographic variables, to examine the association of smoking cessation during pregnancy with second-hand smoke and having a regular family physician. Results: Overall, 33.9% (95% confidence interval, 30.0%, 39.2%) of women who were regular smokers before pregnancy reported quitting smoking during pregnancy. The smoking cessation rate was 17.6% (95% CI 11.8, 25.4) among women who had exposure to second-hand smoke and 38.1% (95% CI 32.1, 44.5) women who had a regular family physician. When adjusted for maternal age, maternal education, total household income, and indigenous status, exposure to second-hand smoke was associated with lower odds of smoking cessation during pregnancy, adjusted odds ratios (aOR) of 0.22 (95% CI: 0.12, 0.41) and having a regular family physician was associated with higher odds of quitting smoking [aOR 2.67 (95% CI: 1.23, 5.79)]. Conclusion: Smoking cessation during pregnancy was negatively associated with ongoing exposure to second-hand smoke and was positively associated with having a regular family physician. Contexte: L’association entre l’exposition à la fumée secondaire et le renoncement au tabac pendant la grossesse est moins étudiée, tout comme le rôle du médecin de famille dans le renoncement au tabac pendant la grossesse. Nous avons examiné l’association entre la fumée secondaire pendant la grossesse et le fait d’avoir un médecin de famille régulier et l’abandon du tabagisme prénatal dans un échantillon représentatif de ménages canadiens. Méthode: Nous avons utilisé les données des enquêtes sur la santé dans les collectivités canadiennes (ESCC), 2017–2018, avec un échantillon de 838 femmes qui ont déclaré avoir fumé régulièrement (tous les jours) au cours des trois mois avant de connaitre leur dernière grossesse. La variable de résultat a été divisée en cessation ou poursuite du tabagisme pendant la grossesse. Nous avons utilisé une régression logistique multivariable, ajustée sur les variables sociodémographiques, pour examiner l’association de l’arrêt du tabac pendant la grossesse avec l’exposition à la fumée secondaire et le fait d’avoir un médecin de famille régulier. Résultats: Dans l’ensemble, 33.9% (intervalle de confiance à 95%, 30.0%, 39.2%) des femmes qui fumaient régulièrement avant la grossesse ont déclaré avoir cessé de fumer pendant la grossesse. Le taux d’abandon du tabac était de 17.6% (IC 95% 11.8, 25.4) chez les femmes exposées à la fumée secondaire et de 38.1% (IC 95% 32.1, 44.5) chez les femmes qui avaient un médecin de famille régulier. Après ajustement en fonction de l'âge maternel, du niveau d'éducation de la mère, du revenu total du ménage et du statut d’autochtone, l’exposition à la fumée secondaire était associée à une probabilité plus faible d’arrêt du tabac pendant la grossesse, rapport de cotes ajusté (RCA) de 0.22 (IC à 95%: 0.12, 0.41), et le fait d’avoir un médecin de famille régulier était associé à une probabilité plus élevée d’arrêt du tabac [RCA de 2.67 (IC à 95% : 1.23, 5.79)]. Conclusion: L’arrêt du tabac pendant la grossesse est négativement associé à l’exposition continue à la fumée secondaire et positivement associé au fait d’avoir un médecin de famille régulier.
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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 | 0.000 |
| 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".