Evidence map›Paper›PMID 42344031›Full record

ArticleBMJ public health2026

Cross-country comparison of perinatal outcomes between japanese mothers in the united states and japan: a cross-sectional study.

Asako Mito, Hasumi Tomita, Noriyuki Iwama, Shiori Kawai, Daniel Helkey, Taku Obara, Robert J Huang, Hirotaka Hamada, Aoi Noda, Mami Ishikuro and 6 more

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Asako MitoStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, California, USA.ORCID https://orcid.org/0000-0003-1730-373X
Hasumi TomitaDepartment of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Noriyuki IwamaCenter for Maternal and Perinatal Medicine, Tohoku University Hospital, Sendai, Miyagi Prefecture, Japan.
Shiori KawaiStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, California, USA.
Daniel HelkeyDepartment of Pediatrics - Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
Taku ObaraDivision of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Robert J HuangStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, California, USA.
Hirotaka HamadaDepartment of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Aoi NodaDivision of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Mami IshikuroDivision of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Shinichi KuriyamaDivision of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Fumiaki IkenoStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, California, USA.
Naoko ArataPreconception Care Center, Integrated Center for Women's Health, National Center for Child Health and Development, Setagaya, Tokyo, Japan.
Masatoshi SaitoDepartment of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi Prefecture, Japan.
Latha PalaniappanStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, California, USA.
Adrian M BacongDepartment of Medicine - Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the USA, studies often show that immigrants exhibit relatively favourable perinatal outcomes compared with their US-born counterparts of the same race/ethnicity, despite socioeconomic and language barriers in healthcare. However, studies with individuals in their home country are limited. Methods and results: We analysed 32 028 Japanese who gave singleton births from two data sources: the US vital statistics records (N=19 462) and the Birth and Three-Generation Cohort Study conducted by the Tohoku Medical Megabank Organization (N=12 566) between 2015 and 2017. The US data were divided into two groups based on nativity: the first generation and the second generation and later. Using Japanese women who delivered in Japan as the reference, associations between nativity and perinatal outcomes were evaluated using regression models, with analyses stratified by pre-pregnancy body mass index category. The ORs (95% CI) of preterm birth were higher among Japanese women in the USA (the first generation: 1.20 (1.15 to 1.33); the second generation and later: 1.40 (1.28 to 1.54)), as were the ORs of macrosomia (1.71 (1.48 to 1.98) and 1.98 (1.68 to 2.32), respectively). In contrast, the ORs of term or post-term low birth weight were lower among Japanese women in the USA (0.77 (0.71 to 0.84) and 0.81 (0.71 to 0.91), respectively). The association of nativity on the ORs of low birth weight differed depending on the term of birth. Conclusions: Japanese immigrants to the USA have heterogenous risk of perinatal outcomes compared with Japanese who remain in Japan. Including home country data in immigration studies may provide a more detailed understanding of the impact of immigration on their perinatal outcomes.

Indexed as

Cross-Sectional StudiesEpidemiologyReproductive History

Identifiers

PMID42344031
PMCPMC13289327

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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.