Evidence map›Paper›PMID 26319053›Full record

ArticleAmerican journal of obstetrics and gynecology2016

Geospatial analysis of food environment demonstrates associations with gestational diabetes.

Maike K Kahr, Melissa A Suter, Jerasimos Ballas, Susan M Ramin, Manju Monga, Wesley Lee, Min Hu, Cindy D Shope, Arina Chesnokova, Laura Krannich and 7 more

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Chicago Neighborhood Context and Racial/Ethnic Disparities in Maternal Diabetes.Journal of racial and ethnic health disparities · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Maike K KahrDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Melissa A SuterDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Jerasimos BallasDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Susan M RaminDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Manju MongaDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Wesley LeeDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Min HuDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Cindy D ShopeDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Arina ChesnokovaDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Laura KrannichDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Emily N GriffinDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Joan MastrobattistaDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Gary A DildyDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Stacy L StrehlowDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX.
Ryan RamphulEnvironmental Health Section, Chronic Disease Prevention and Control Research Center, Baylor College of Medicine, Houston, TX.
Winifred J HamiltonEnvironmental Health Section, Chronic Disease Prevention and Control Research Center, Baylor College of Medicine, Houston, TX.
Kjersti M AagaardDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Baylor College of Medicine, Houston, TX. Electronic address: aagaardt@bcm.edu.

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI James Versalovic · 2001 to 2026
$28.3M
The Impact of Maternal Health and Diet on Development of Fetal Metabolic SystemsR24DK090964 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI AAGAARD, KJERSTI MARIE, FRIEDMAN, JACOB E · 2010 to 2019
$15.8M
Conserved Fetal Epigenomic Signatures in a Primate Model of Maternal ObesityR01DK089201 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI AAGAARD, KJERSTI MARIE · 2012 to 2021
$5.1M
A Multi'omics Approach towards Deciphering the Influence of the Microbiome on PreR01NR014792 · NINR · BAYLOR COLLEGE OF MEDICINE · PI AAGAARD, KJERSTI MARIE · 2013 to 2017
$2.7M
Characterization of the Fetal Primate Epigenome and Metabolome Under In UteroDP2OD001500 · OD · BAYLOR COLLEGE OF MEDICINE · PI AAGAARD, KJERSTI MARIE · 2007 to 2011
$2.3M
NICHD NIH HHS L40 HD051105NIDDK NIH HHS DK089201NIDDK NIH HHS P30 DK020593NIDDK NIH HHS P30 DK056338NIDDK NIH HHS R01 DK089201NIDDK NIH HHS R24 DK090964NIH HHS DP2 OD001500NINR NIH HHS NR014792NINR NIH HHS R01 NR014792
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is one of most common complications of pregnancy, with incidence rates varying by maternal age, race/ethnicity, obesity, parity, and family history. Given its increasing prevalence in recent decades, covariant environmental and sociodemographic factors may be additional determinants of GDM occurrence.

objectiveWe hypothesized that environmental risk factors, in particular measures of the food environment, may be a diabetes contributor. We employed geospatial modeling in a populous US county to characterize the association of the relative availability of fast food restaurants and supermarkets to GDM. STUDY

designUtilizing a perinatal database with >4900 encoded antenatal and outcome variables inclusive of ZIP code data, 8912 consecutive pregnancies were analyzed for correlations between GDM and food environment based on countywide food permit registration data. Linkage between pregnancies and food environment was achieved on the basis of validated 5-digit ZIP code data. The prevalence of supermarkets and fast food restaurants per 100,000 inhabitants for each ZIP code were gathered from publicly available food permit sources. To independently authenticate our findings with objective data, we measured hemoglobin A1c levels as a function of geospatial distribution of food environment in a matched subset (n = 80).

resultsResidence in neighborhoods with a high prevalence of fast food restaurants (fourth quartile) was significantly associated with an increased risk of developing GDM (relative to first quartile: adjusted odds ratio, 1.63; 95% confidence interval, 1.21-2.19). In multivariate analysis, this association held true after controlling for potential confounders (P = .002). Measurement of hemoglobin A1c levels in a matched subset were significantly increased in association with residence in a ZIP code with a higher fast food/supermarket ratio (n = 80, r = 0.251 P < .05).

conclusionAs demonstrated by geospatial analysis, a relationship of food environment and risk for gestational diabetes was identified.

Indexed as

AdultCommerceDiabetes, GestationalEnvironment DesignFast FoodsFemaleFood SupplyGeographic Information SystemsGeographic MappingGlycated HemoglobinHumansPregnancyResidence CharacteristicsTexasYoung AdultGlycated Hemoglobinhemoglobin A1c protein, humanfood environmentgeospatial analysisgestational diabetesneighborhoodpregnancy outcome

Identifiers

PMID26319053
PMCPMC4821568

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.