Evidence map›Paper›PMID 41429226›Full record

ArticleThe American journal of clinical nutrition2026

Understanding the association of food insecurity and nutrition insecurity with diet quality: a cross-sectional analysis of 2 national samples.

Elise Sheinberg, Anna C Tucker, Alessandra Uriarte, Christine M Weston, Cerra C Antonacci, Melissa N Laska, Julia A Wolfson, Cindy W Leung

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elise SheinbergDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: esheinberg@g.harvard.edu.
Anna C TuckerDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Alessandra UriarteDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Christine M WestonDepartment of Health Management and Policy, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Cerra C AntonacciDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Melissa N LaskaDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
Julia A WolfsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Health Management and Policy, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Cindy W LeungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.

Funding

Evaluating the Implementation and De-Implementation of Pandemic Era SNAP Expansion Policies on Diet and Health: A Mixed Methods ProjectR01NR021098 · NINR · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Cindy Leung · 2023 to 2026
$3.0M
Development and Pilot Evaluation of a Novel Cooking Skills Intervention to Prevent DiabetesK01DK119166 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOLFSON, JULIA A · 2020 to 2023
$607k
NIDDK NIH HHS K01 DK119166NINR NIH HHS R01 NR021098
6 · The paper itself

Abstract

backgroundFood insecurity is associated with poor diet quality. However, nutrition security may better predict diet quality as it specifically measures healthy food access.

objectivesThis study aims to examine the associations between food security, nutrition security, and joint food and nutrition security status with diet quality.

methodsData came from 2 cross-sectional surveys of United States adults (n = 4554) and Supplemental Nutrition Assistance Program (SNAP) participants (n = 1463). For United States adults, food security was measured with the 18-item Household Food Security Survey Module, and diet quality was measured with the Prime Diet Quality Score (PDQS). For SNAP adults, food security was measured with the USDA's 6-item Food Security Survey, and diet quality was measured with the rapid PDQS (rPDQS). Nutrition security was measured with the Center for Nutrition and Health Impact's Household Nutrition Security (HNS) in both samples. Linear regression models analyzed the relationship between food and nutrition security and diet quality separately and jointly, adjusting for sociodemographic covariates.

resultsIn the United States adult sample, 52.8% were food and nutrition secure (FS/NS), 16.4% were food insecure and nutrition secure (FI/NS), 4.2% were food secure and nutrition insecure (FS/NI), and 26.6% were food and nutrition insecurity (FI/NI). In the SNAP sample, 24.1% were FS/NS, 27.5% were FI/NS, 1.4% were FS/NI, and 46.9% were FI/NI. After multivariate adjustment, food insecurity was associated with lower diet quality in both samples [United States adults: β = -1.2 PDQS points; 95% confidence interval (CI): = -1.9, -0.54; SNAP sample: β=-0.92 rPDQS points; 95% CI: -1.7, -0.14]. Nutrition insecurity was not associated with lower diet quality for either sample. In both samples, joint food and nutrition insecurity was associated with the lowest diet quality compared with other groups.

conclusionsFurther research is needed to understand the utility of the HNS because food insecurity was more strongly associated with lower diet quality than nutrition insecurity.

Indexed as

DietFood InsecurityFood SupplyAdultCross-Sectional StudiesFemaleFood AssistanceFood SecurityHumansMaleMiddle AgedNutritional StatusNutrition SurveysUnited StatesYoung Adultdiet qualityfood securitynutrition securitySupplemental Nutrition Assistance Program

Identifiers

PMID41429226
PMCPMC12917214

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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.