Evidence map›Paper›PMID 42311278›Full record

ArticleDiscover public health2026

Trajectories of food insecurity for low wage workers from 2018 to 2022.

Curtis J Antrum, Violeta Chacón, Maria F Gombi Vaca, Kim M Gans, Molly E Waring, Ran Xu, Caitlin E Caspi

Abstract read
In one paragraph

Article in Discover public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Curtis J AntrumDepartment of Allied Health Science, University of Connecticut, 358 Mansfield Rd, Unit 1101, Storrs, CT 06269-1101 USA.ORCID 0000-0002-7686-5911
Violeta ChacónRudd Center for Food Policy and Health, University of Connecticut, 1 Constitution Plaza, CT 06103 Hartford, USA.ORCID 0000-0003-0529-512X
Maria F Gombi VacaRudd Center for Food Policy and Health, University of Connecticut, 1 Constitution Plaza, CT 06103 Hartford, USA.ORCID 0000-0002-0404-4305
Kim M GansDepartment of Human Development and Family Sciences, 348 Mansfield Road, Unit 1058, CT 06259 Storrs, USA.ORCID 0000-0003-3623-7790
Molly E WaringDepartment of Allied Health Science, University of Connecticut, 358 Mansfield Rd, Unit 1101, Storrs, CT 06269-1101 USA.ORCID 0000-0002-9884-9824
Ran XuDepartment of Allied Health Science, University of Connecticut, 358 Mansfield Rd, Unit 1101, Storrs, CT 06269-1101 USA.ORCID 0009-0006-1743-3306
Caitlin E CaspiDepartment of Allied Health Science, University of Connecticut, 358 Mansfield Rd, Unit 1101, Storrs, CT 06269-1101 USA.ORCID 0000-0001-6848-7909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic made many U.S. households susceptible to food insecurity and sparked a temporary expansion of federal food assistance. Recognizing that the effects of the pandemic on food insecurity were socially patterned and changed over time, this study aimed to identify different food insecurity trajectories from 2018 to 2022 and demographic/household factors associated with these trajectories in a low-income sample. We conducted a secondary analysis of data from a longitudinal annual survey (2018-2022) of 414 low-wage workers recruited in community settings in two U.S. cities: Raleigh, NC, and Minneapolis, MN. Annual survey measures included the 6-Item Food Security Module, self-reported demographics, and household economic factors including housing stability, employment, and receipt of Supplemental Nutrition Assistance Program (SNAP). Latent class analysis identified underlying classes (trajectories) of food security over time and assigned participants to a trajectory. Multinomial logistic regression models tested the association between demographic/household factors and trajectory membership. Food insecurity was high at baseline (72.7%). Latent class analysis yielded five trajectories from 2018 to 2022: (i) consistent high food security (23.9%), (ii) consistent moderate food security (28.3%), (iii) consistent very low food security (17.6%), (iv) improved food security (12.6%), and (v) temporarily improved food security (17.6%). Several demographic/household factors were associated with the likelihood of experiencing trajectories of less food security. Understanding trajectories of food insecurity during the COVID-19 pandemic can inform policy responses during future health or economic crises. Food security status is not a static condition; annual measurement is critical for promoting food security among low-income U.S. families.

Indexed as

COVID-19 pandemicFood insecurityLow-wage workersTrajectory analysisUrban communities

Identifiers

PMID42311278
PMCPMC13269462

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.