Effect of Secondary Cigarette Smoke from Household Members on Breastfeeding Duration: A Prospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Maternal smoking and exposure to tobacco smoke is one modifiable risk factor that affects breastfeeding initiation and duration. We prospectively examine the effects of maternal and paternal smoking and other family members' smoking status on the duration of breastfeeding. MATERIALS AND METHODS: A cohort of 1,277 mother-infant pairs admitted to the postpartum units of four major public hospitals in Hong Kong. Demographic data, maternal, paternal and household smoking habits, and other potential confounding variables were collected via self-reported questionnaires during the postnatal hospitalization. Breastfeeding status after hospital discharge was assessed through telephone follow-up up to 12 months postpartum, or until participants were no longer breastfeeding. If the participant had weaned during that follow-up interval, she was asked to report the total duration (in weeks) of both any and exclusive breastfeeding. RESULTS: A total of 1,240 (97%) mother-infant pairs completed followed up, 2.5% were smokers, 29.2% of their partners smoked, and 11.3% had another smoker living in their home. Maternal and other family members' smoking predicted breastfeeding cessation. When compared with mothers in nonsmoking family, those exposed to two or more family members who smoked had approximately a 30% increased risk of breastfeeding cessation (adjusted hazard ratio [aHR] = 1.31; 95% CI 1.01-1.68). CONCLUSION: Mothers who were exposed to two or more smokers in the household had a significantly shorter duration of any breastfeeding at 12-month follow-up.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 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".