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Am J Perinatol
DOI: 10.1055/a-2729-1236
Original Article

A retrospective, cross-sectional study of geographic food environment and diabetes in pregnancy

Autoren

  • Symone McClain 

    1   Women's Health, Henry Ford Hospital, Detroit, United States (Ringgold ID: RIN24016)

  • Tiffany Clinton

  • Jamie Joseph

  • Alicia Speak

    2   Women's Health Department, Henry Ford Health System, Detroit, United States (Ringgold ID: RIN2971)

  • Miranda Goodson

    3   Wayne State University School of Medicine, Detroit, United States (Ringgold ID: RIN12267)

  • Tylar Dickson

  • Raminder Khangura

    4   Maternal Fetal Medicine, Henry Ford Health System, Detroit, United States (Ringgold ID: RIN2971)

  • Sun Kwon Kim

    5   Department of Maternal Fetal Medicine, Henry Ford Health System, Detroit, United States (Ringgold ID: RIN2971)

  • D'Angela Pitts

    5   Department of Maternal Fetal Medicine, Henry Ford Health System, Detroit, United States (Ringgold ID: RIN2971)
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Objective: Insufficient access to healthy food has been linked to poor health outcomes in under-resourced communities. The relationship between neighborhood-level food insecurity and diabetes in pregnancy remains understudied, with previous studies reporting inconsistent results. This study examined the association between living in a low-income, low access (LILA) census tract and the prevalence of pregestational type 2 diabetes (T2D) and gestational diabetes (GDM) among pregnant individuals.  Study Design: This cross-sectional study included patients who delivered a singleton pregnancy at ≥ 20 weeks’ gestation at Henry Ford Hospital between January 2014 and December 2019 and resided within Detroit city limits at the time of delivery. Residence in a LILA census tract, as designated by the USDA Food Access Research Atlas, was the exposure, and prevalences of pregestational T2D and GDM were the outcomes, which were collected retrospectively from patient records. 117 census tracts were designated as LILA. Covariates that were adjusted for included maternal age at delivery, race, body mass index, insurance status, and substance use during pregnancy (drug, alcohol, and tobacco). Multivariate logistic regression models were used to analyze the data. Results: Of the 3897 patients included in this study, 1377 (35.3%) resided in LILA tracts and 2520 (64.7%) resided in non-LILA tracts. When individuals residing in LILA and non-LILA tracts were compared, there were no significant differences in the prevalences of pregestational T2D (4.8% vs 4.6%, adjusted prevalence odds ratio aPOR = 1.00, 95% CI: 0.72-1.38, p = 0.99) and GDM (11.3% vs 13.7%, aPOR = 0.96, 95% CI: 0.78-1.20, p = 0.74). Maternal age at delivery, maternal body mass index, race, and insurance status were all significantly associated with the prevalences of GDM and pregestational T2D. Conclusion: Our results suggest that a LILA tract is not significantly associated with the prevalences of T2D and GDM during pregnancy.



Publikationsverlauf

Eingereicht: 30. August 2025

Angenommen nach Revision: 21. Oktober 2025

Accepted Manuscript online:
13. November 2025

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