Household food insecurity and antepartum depression in the National Children's Study.


Journal

Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013

Informations de publication

Date de publication:
04 2020
Historique:
received: 05 08 2019
revised: 06 01 2020
accepted: 20 01 2020
pubmed: 30 3 2020
medline: 8 9 2020
entrez: 30 3 2020
Statut: ppublish

Résumé

The purpose of this study was to determine the association between household food insecurity (HFI) and elevated antepartum depressive symptoms (EADS) in the National Children's Study, 2009-2014, as well as standardize our results to the U.S. pregnant population. HFI was collected at participants' baseline visits using the U.S. Household Food Security Survey Module; antepartum depression symptoms were collected twice during pregnancy using the Center for Epidemiologic Study Depression scale. Generalized estimating equations for binary outcomes were used to estimate the association between HFI and EADS. Inverse probability weighting was used to generalize the effect to the U.S. population using the National Health and Nutrition Examination Survey. Among 746 participants, 20.6% were food insecure. Women who were food insecure were 3.39 times (95% confidence interval: 1.73, 6.62) as likely to report EADS compared with women who were food secure. This estimate was marginally strengthened in a weighted analysis (odds ratio: 3.68; 95% confidence interval: 1.43, 9.43). This study suggests that women who are food insecure are at a greater risk of EADS, and HFI should be evaluated when assessing antepartum depression.

Identifiants

pubmed: 32220512
pii: S1047-2797(19)30559-9
doi: 10.1016/j.annepidem.2020.01.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

38-44.e1

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Megan Richards (M)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington. Electronic address: meganrichards@unr.edu.

Margaret Weigel (M)

Department of Environmental Health, School of Public Health, Indiana University, Bloomington.

Ming Li (M)

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

Molly Rosenberg (M)

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

Christina Ludema (C)

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

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