Evidence map›Paper›PMID 41491384›Full record

ArticleJournal of general internal medicine2026

Association of Federal and State Level Minimum Wage Legislations and Food Security.

Sebastian Linde, Rebekah J Walker, Leonard E Egede

Abstract read
In one paragraph

Article in Journal of general internal medicine, 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
–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

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

3 authors.

Sebastian LindeDepartment of Health Policy & Management, Texas A&M School of Public Health, College Station, TX, USA. slinde@tamu.edu.ORCID 0000-0002-7209-0143
Rebekah J WalkerDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Leonard E EgedeDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DM Diversity SupplementR01DK118038 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.5M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM) - Diversity SupplementR01MD013826 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E., WALKER, REBEKAH J · 2019 to 2023
$3.4M
Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for ChangeR01MD017574 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.5M
Impact of structural racism on hospital/clinic closures, community assets, and health outcomes in urban communitiesR01MD018012 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.4M
Cardiovascular Risk Reduction for Adults with Food Insecurity Using Structured Incentives (CVD-FIT)R01MD018721 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Rebekah J Walker · 2024 to 2026
$2.0M
NIDDK NIH HHS R01 DK118038NIMHD NIH HHS R01 MD013826NIMHD NIH HHS R01 MD017574NIMHD NIH HHS R01 MD018012NIMHD NIH HHS R01 MD018721
6 · The paper itself

Abstract

objectiveExamine whether federal and state-level minimum wage increases were associated with reductions in the fraction of households that report food security in the US.

methodsWe combined household-level food security and individual-level demographic data from the US Census Bureau's Current Population Survey Food Supplement for the years 1998 through 2019 (22 years, pre-COVID) with state-level minimum wage data from the Washington Center for Equitable Growth. A pooled sample of 962,756 individual-year observations was used in a linear probability model. The outcome was a binary indicator for low food security or very low food security, and the primary independent variable was the state-level minimum wage (inflation adjusted to 2019 dollars). Covariates included age, sex, race/ethnicity, marital status, education, metropolitan population size, year fixed effects, and county fixed effects allowing control for time-invariant unobserved county confounders.

resultsA one-dollar increase of the minimum wage was not associated with low food security prevalence but was associated with a statistically significant decrease of 0.16% (95%CI, -0.27 to -0.04%), corresponding to a 3.58 lower prevalence rate in very low food security. Models that allowed for potentially heterogeneous minimum wage policy effects across race/ethnicity or sex showed significantly larger effects only for the other race/ethnicity subgroup.

conclusionsMinimum wage legislation may reduce very low food security prevalence rates, and it may also not significantly reduce existing disparity gaps in very low food security prevalence across race/ethnicity and sex.

Indexed as

Food SecuritySalaries and Fringe BenefitsState GovernmentFederal GovernmentFemaleHumansMaleUnited Statesfood securitylow food securityminimum wageracial/ethnic disparities, sex disparitiesvery low food security

Identifiers

PMID41491384
PMCPMC13112464

What OpenQuestion holds

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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.