ArticleBMC pregnancy and childbirth2025
Variations in adverse pregnancy and birth outcomes among Latin American and Caribbean-Born birthing people by region of origin, California birth cohort, 2007-2020.
Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Bridging Knowledge Gaps: Prenatal Education Acquisition and Its Determinants Among Expectant Mothers in Northwestern China.International journal of women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundAlthough many studies have highlighted better pregnancy and birth outcomes among foreign-born Latinas than among U.S.-born people, few have assessed heterogeneity in outcomes disaggregated by region of origin. We examined adverse pregnancy and birth outcomes among birthing people born in Latin America and the Caribbean (LAC) compared to people born in the U.S.
methodsWe used a retrospective cohort from the Study of Outcomes in Mothers and Infants compiled from California births (2007-2020). We examined descriptive statistics, unadjusted, and adjusted odds ratios for the association between LAC nativity and region of origin (versus U.S.-born) and preeclampsia, gestational diabetes, preterm birth, and small for gestational age. We also assessed the potential mediating roles of education, health insurance, and prenatal care.
resultsThe sample included 5,917,974 infants, with 3,555,173 born to U.S.-born birthing people, and 1,385,679 born LAC-born birthing people, with the vast majority being from Mexico (82%) and Central America (14%). The odds of each outcome among those from LAC regions were lower relative to U.S.-born individuals, with the following exceptions. The adjusted odds of gestational diabetes was higher among those born in Mexico (13.3% vs. 8.0%, AOR: 1.6, 95% Cl: 1.6-1.6) and Central America (11.1% vs. 8.0%, AOR: 1.3, 95% Cl: 1.3-1.3) compared to those born in the U.S. The adjusted odds of preterm birth was higher for those born in the Caribbean (8.5% vs. 7.2%, AOR: 1.1, 95% CI: 1.0-1.2) and Central America (8.0% vs. 7.2%, AOR: 1.1, 95% CI: 1.1-1.1) compared to the U.S. Similarly, the adjusted odds of small for gestational age were higher for those born in the Caribbean (10.5% vs. 9.2%, AOR: 1.2, 95% CI: 1.2-1.3) and Central America (10.4% vs. 9.2%, AOR: 1.2, 95% CI: 1.2-1.2). Education and health insurance were identified as mediators of the associations.
conclusionThere is significant heterogeneity in adverse pregnancy and birth outcomes among those born in LAC by region of origin, specifically among people from Mexico, Central America, and the Caribbean. These findings highlight the importance of assessing disaggregated data to address the distinct pregnancy and birthing needs of diverse foreign-born birthing people.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.