Evidence map›Paper›PMID 37955841›Full record

ArticleMaternal and child health journal2024

Trends in Food Insecurity Among Households with Children Participating in WIC and SNAP in California, 2005-2017.

M Pia Chaparro, Miguel A Lopez

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Article in Maternal and child health journal, 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
1.7field-weighted citation impact, top 14% of its field
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

M Pia ChaparroDepartment of Social, Behavioral and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St. Suite 2210, New Orleans, LA, 70112, USA. pchap@uw.edu.ORCID http://orcid.org/0000-0003-0496-8898
Miguel A LopezDepartment of Social, Behavioral and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St. Suite 2210, New Orleans, LA, 70112, USA.
Tulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess trends in food insecurity between 2005 and 2017-a period including the Great Recession-by participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC).

methodsData from the California Health Interview Survey (CHIS), 2005-2017, were used, including 7421 households: WIC participants (n = 4184)-those participating in WIC only (n = 2315) and in the Supplemental Nutrition Assistance Program (SNAP) in addition to WIC (n = 1869)-and WIC-eligible non-participants (n = 3237). Multivariable logistic regression models were run with food insecurity as the outcome, WIC participation and survey year as predictors, and adjusted by children's and family's demographic and socioeconomic variables. Interactions between WIC participation and survey year were tested.

resultsWIC + SNAP participating households had higher crude food insecurity prevalence across time compared to WIC only and WIC-eligible non-participant households. In fully adjusted models: (1) food insecurity was higher between 2009 and 2017, compared to 2005, for all groups; (2) WIC participating households had higher odds of food insecurity than WIC-eligible non-participants (OR = 1.23, 95%CI = 1.10-1.38); (3) when WIC participants were split into WIC only and WIC + SNAP, WIC + SNAP households had higher odds of food insecurity than WIC-eligible non-participants (OR = 1.45, 95%CI = 1.27-1.66); and (4) the association between food insecurity and WIC participation did not change across time (interaction p-value > 0.10).

conclusionsFood insecurity increased post-Great Recession among low-income households with children in California, with those participating in WIC, particularly in WIC + SNAP, at higher risk. WIC should consider additional referrals for households who participate in WIC + SNAP.

Indexed as

Food AssistanceCaliforniaChildFamily CharacteristicsFemaleFood InsecurityFood SupplyHumansInfantPovertyCaliforniaFood insecurityGreat recessionSNAPWIC

Identifiers

PMID37955841
OpenAlexW4388627033

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Registered trials

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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.