Birth Outcomes of Foreign‐Born, Native‐Born, and Mixed Couples in <scp>S</scp>weden
Bibliographic record
Abstract
BACKGROUND: Many births in industrialised countries are to immigrant parents, or to one immigrant and one domestically born parent. Their newborn outcomes have not been well studied. METHODS: We conducted a study of 1,690,423 singleton infants born in Sweden between 1987 and 2008, including those of immigrants from East Asia, South Asia, Sub-Saharan Africa, and East Africa. Preterm delivery and small for gestational age (SGA) were assessed among infants of (i) immigrant parents from the same world region, (ii) an immigrant mother and a Swedish-born father, and (iii) a Swedish-born mother and an immigrant father; each compared to (iv) two Swedish-born parents. Log binomial regression analysis generated adjusted risk ratios (ARRs) and 95% confidence intervals (CIs) for preterm delivery and SGA. RESULTS: Compared with infants of two Swedish-born parents, infants born to immigrant mothers from East Asia, South Asia, and Sub-Saharan African were at higher risk of preterm delivery (ARR ranging from 1.2 to 1.9), irrespective of whether the father was from the same world region or Swedish-born, with the only exception of East African women, who had lower risk. Infants born to two foreign-born parents had the highest risks of SGA, particularly South Asians (ARR 4.69; 95% CI 4.29, 5.12). Mixed couples exhibited intermediate risks of SGA. CONCLUSIONS: Adverse birth outcomes differ according to a couple's ethnic composition. Having a Swedish-born partner is associated with lower risk of SGA among immigrant mothers and fathers, and with lower risk of preterm delivery among immigrant fathers but not mothers.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".