Evidence map›Paper›PMID 29501220›Full record

ArticleAnnals of epidemiology2018

The role of obesity in the risk of gestational diabetes among immigrant and U.S.-born women in New York City.

Teresa Janevic, Jennifer Zeitlin, Natalia Egorova, Amy Balbierz, Elizabeth A Howell

Abstract read
In one paragraph

Article in Annals of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Predictors of Adverse Pregnancy Outcomes in Pregnant Women Living with Obesity: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Pooled it
  3. Trial
  4. Pregnancy and Diabetes Racial/Ethnicity Health Disparities in a Large Integrated Health System.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
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  8. Review
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  13. Utilization of Maternal Health Care Among Immigrant Mothers in New York City, 2016-2018.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
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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

5 authors at 2 institutions in 2 countries.

Teresa JanevicDepartment of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: teresa.janevic@mountsinai.org.
Jennifer ZeitlinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Biostatistics Sorbonne Paris Cité, DHU Risks in Pregnancy, Paris Descartes University, Paris, France.
Natalia EgorovaDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Amy BalbierzDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Elizabeth A HowellDepartment of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn School of Medicine at Mount Sinai · USSorbonne Paris Cité · FR

Funding

Hospital Quality and Racial/Ethnic Disparities in Severe Maternal MorbidityR01MD007651 · NIMHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOWELL, ELIZABETH A · 2014 to 2018
$2.1M
NIMHD NIH HHS R01 MD007651
6 · The paper itself

Abstract

purposeTo examine if the role of obesity in the risk of gestational diabetes differs between immigrant and U.S.-born women.

methodsWe used New York City-linked 2010-2014 birth certificate and hospital data. We created four racial/ethnic groups (non-Hispanic black, Hispanic, non-Hispanic white, and Asian) and three subgroups (Mexican, Indian, and Chinese). Gestational diabetes mellitus (GDM) was ascertained by the birth certificate checkbox and discharge ICD-9 codes. We calculated relative risks for immigrant status and body mass index with GDM using covariate-adjusted log-binomial regression. We calculated multivariable population attributable risk to estimate the proportion of GDM that could be eliminated if overweight/obesity were eliminated by immigrant status.

resultsImmigrant women had higher risk of GDM than U.S.-born women, with adjusted relative risks ranging from 1.2 among non-Hispanic black women (95% confidence interval, 1.2-1.3) to 1.6 among Hispanic women (95% confidence interval, 1.4-1.8). Increasing body mass index was associated with GDM risk in all groups, but relative risks were weaker among immigrants (P for interaction <.05). The population attributable risk for overweight/obesity was lower in immigrant women than in U.S.-born women in all racial/ethnic groups.

conclusionsThe lower proportion of GDM attributable to overweight/obesity among immigrant women may point to early life and migration influences on risk of GDM.

Indexed as

AdultAsian PeopleBlack or African AmericanBlack PeopleBody Mass IndexDiabetes, GestationalEmigrants and ImmigrantsEthnicityFemaleHispanic or LatinoHumansNew York CityObesityOverweightPregnancyPrevalenceDisparitiesEthnicityGestational diabetesImmigrantLife courseObesity

Identifiers

PMID29501220
PMCPMC5875722
OpenAlexW2793288012

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.