Food insecurity, gestational weight gain and gestational diabetes in the National Children's Study, 2009-2014.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
22 09 2021
Historique:
received: 10 01 2020
revised: 07 05 2020
accepted: 03 06 2020
pubmed: 4 7 2020
medline: 25 2 2023
entrez: 4 7 2020
Statut: ppublish

Résumé

Household food insecurity (HFI) and gestational diabetes mellitus (GDM) are both common during pregnancy, yet it is unknown if these two factors are related. We aimed to determine the independent and joint associations between HFI, gestational weight gain (GWG) and GDM among pregnant women in the USA. We used data from 592 women in the National Children's Study, Initial Vanguard Study from 2009 to 2014. HFI was assessed using the Household Food Security Survey Module at the first study visit; GDM was assessed through questionnaires and medical chart review. Logistic regression models were used to investigate the exposures of HFI, GWG and their joint effect on GDM. Among participants, 20.1% were marginally food secure or food insecure and 7.4% were diagnosed with GDM. The elevated unadjusted association between HFI and GDM was attenuated after adjustment (aOR: 1.12; 95%CI: 0.47, 2.66). There was an elevated risk of GDM associated with inadequate GWG, (aOR: 2.42; 95%CI: 0.97, 6.00), but results were imprecise. There were no statistically significant associations in the joint exposure analysis. The relationship between HFI and GDM is mostly explained by other covariates, but there is some evidence that inadequate GWG is a possible risk factor for GDM.

Sections du résumé

BACKGROUND
Household food insecurity (HFI) and gestational diabetes mellitus (GDM) are both common during pregnancy, yet it is unknown if these two factors are related. We aimed to determine the independent and joint associations between HFI, gestational weight gain (GWG) and GDM among pregnant women in the USA.
METHODS
We used data from 592 women in the National Children's Study, Initial Vanguard Study from 2009 to 2014. HFI was assessed using the Household Food Security Survey Module at the first study visit; GDM was assessed through questionnaires and medical chart review. Logistic regression models were used to investigate the exposures of HFI, GWG and their joint effect on GDM.
RESULTS
Among participants, 20.1% were marginally food secure or food insecure and 7.4% were diagnosed with GDM. The elevated unadjusted association between HFI and GDM was attenuated after adjustment (aOR: 1.12; 95%CI: 0.47, 2.66). There was an elevated risk of GDM associated with inadequate GWG, (aOR: 2.42; 95%CI: 0.97, 6.00), but results were imprecise. There were no statistically significant associations in the joint exposure analysis.
CONCLUSION
The relationship between HFI and GDM is mostly explained by other covariates, but there is some evidence that inadequate GWG is a possible risk factor for GDM.

Identifiants

pubmed: 32618341
pii: 5866633
doi: 10.1093/pubmed/fdaa093
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

558-566

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Megan Richards (M)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN 47405, USA.

Margaret Weigel (M)

Department of Environmental Health, School of Public Health, Indiana University, Bloomington, IN 47405, USA.

Ming Li (M)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN 47405, USA.

Molly Rosenberg (M)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN 47405, USA.

Christina Ludema (C)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN 47405, USA.

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