Evidence map›Paper›PMID 39707261›Full record

ArticleBMC pregnancy and childbirth2024

Characterizing sociodemographic disparities and predictors of Gestational Diabetes Mellitus among Asian and Native Hawaiian or other Pacific Islander pregnant people: an analysis of PRAMS data, 2016-2022.

Mallory Go, Natasha Sokol, L G Ward, Micheline Anderson, Shufang Sun

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Small Dense Low-Density Lipoprotein (sdLDL) and Its Correlates among Pregnant Women in Juth.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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.

Mallory GoDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA. mallory_go@brown.edu.
Natasha SokolDepartment of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI, USA.
L G WardDepartment of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI, USA.
Micheline AndersonDepartment of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI, USA.
Shufang SunDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.

Funding

Project 3: Isolating food insecurity to understand childhood health outcomes and biological mechanisms of riskP20GM139767 · NIGMS · MIRIAM HOSPITAL · PI KayLoni L. Olson · 2021 to 2026
$14.6M
The Effect of Antenatal Maternal Cannabis Use on Parenting BehaviorK01DA054324 · NIDA · MIRIAM HOSPITAL · PI Natasha Alessandra Sokol · 2022 to 2026
$931k
Trauma-Informed Obstetric Care: Development and Implementation of a Stakeholder-Informed Toolkit for Obstetric Providers and PatientsK23HD107296 · NICHD · MIRIAM HOSPITAL · PI Laura G Ward · 2022 to 2026
$806k
NICHD NIH HHS K23 HD107296NICHD NIH HHS L30 HD103043NIDA NIH HHS K01 DA054324NIGMS NIH HHS P20 GM139767
6 · The paper itself

Abstract

backgroundGestational Diabetes Mellitus (GDM) affects between 2 and 10% of pregnancies in the United States, with trends of increasing prevalence and a significant amount of variability across race and ethnicity, maternal age, and insurance status. Asian and Native Hawaiian or Other Pacific Islanders (NHOPI) have been documented to have a higher prevalence and risk of developing GDM compared to non-Hispanic white populations and have been under-studied in health disparities research.

methodsUsing data from the Pregnancy Risk Assessment Monitoring System (PRAMS) 2016-2022 surveys, we conducted analyses for the overall PRAMS sample as well as within-group analyses among participants who identify as Asian and NHOPI to identify risk factors for GDM. Descriptive statistics were also collected in the Asian and NHOPI subsample, stratified by Asian and NHOPI ethnicity. Bivariate analyses were performed to explore the relationship between potential GDM risk factors among the overall analytic sample and within the Asian and NHOPI subsample, and multivariable logistic regression was used to investigate potential predictors of GDM.

resultsAsian and NHOPI ethnicities differed by prevalence of GDM at 17.2%, 19.56%, 10.8%, 10.71%, and 18.49% for Chinese, Filipino, Japanese, Native Hawaiian/Other Pacific Islander, and Other Asian, respectively. Compared to White individuals (reference group), the odds of GDM were higher for Asian and Native Hawaiian/Other Pacific Islander individuals in the adjusted model (adjusted odds ratio (aOR) = 2.19, 95% CI: 2.62-2.9). Native mothers also demonstrated significantly elevated odds (aOR = 1.48, 95% CI: 1.4-1.6), while Mixed-race individuals exhibited slightly increased odds (OR = 1.22, 95% CI: 1.14-1.29). The findings revealed notable variability in GDM risk factors across ANHOPI subgroups. Obesity emerged as a consistent and strong predictor of GDM across all groups, while other factors such as interpersonal violence exposure and prenatal depression demonstrated limited or subgroup specific effects.

conclusionThis analysis of 2016 to 2022 PRAMS data illustrated significant variations of GDM predictors between the general population and the Asian and NHOPI population, as well as differences between Asian and NHOPI ethnicities.

Indexed as

Diabetes, GestationalNative Hawaiian or Pacific IslanderAdolescentAdultAsianFemaleHealth Status DisparitiesHumansPregnancyPrevalenceRisk AssessmentRisk FactorsSociodemographic FactorsUnited StatesYoung AdultAsian and NHOPIGestational Diabetes MellitusPRAMSPregnancySocial determinants of health

Identifiers

PMID39707261
PMCPMC11661331

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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.