Smoking during pregnancy among immigrants to Sweden, 1992-2008: the effects of secular trends and time since migration
Bibliographic record
Abstract
BACKGROUND: Smoking during pregnancy has been declining in the past decades in high-income countries, including Sweden. Paradoxically, increasing trends associated with duration of residence have been reported among immigrants. We aimed to clarify how these two contrasting trends have shaped smoking patterns among immigrants. METHODS: We conducted a population-based study of 1 598 433 pregnancies in Sweden in the period 1992-2008. We used multinomial logistic regression to estimate the odds of mild and heavy smoking relative to no smoking associated with year of delivery, years since migration, maternal region of birth and their interaction, after controlling for potential confounders. RESULTS: The prevalence of smoking decreased for the Swedish-born and for immigrants during the study period. Among immigrants, duration of residence was independently associated with increases in smoking and varied according to maternal region of birth (P-value for interaction <0.001). The odds ratio associated with a 10-year increase in duration of residence was weakest for mild smoking among former Yugoslav women (adjusted odds ratio; 95% confidence interval: 1.10; 1.04-1.17) and those from other Nordic countries (1.22; 1.17-1.26) and strongest for heavy smoking among East African (4.46; 3.23-6.16) and sub-Saharan African (3.56; 2.68-4.72) women. The association between duration of residence and smoking was attenuated after stratifying by cohorts of arrival among European but not among non-European immigrants. CONCLUSIONS: Declines in smoking during pregnancy among immigrants from various regions of the world were differentially affected by opposite increasing trends throughout their residence in Sweden.
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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 | 0.000 |
| 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".