Evidence map›Paper›PMID 41383344›Full record

ArticleFrontiers in nutrition2025

An evaluation of a state-level fruit and vegetable incentive's impacts on food and nutrition security among SNAP participants.

Vanessa M Oddo, Julien Leider, Alison Tovar, Maya K Vadiveloo, Emily Elenio, Lisa M Powell

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. 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

6 authors.

Vanessa M OddoDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois Chicago, Chicago, IL, United States.
Julien LeiderInstitute for Health Research and Policy, School of Public Health, University of Illinois Chicago, Chicago, IL, United States.
Alison TovarDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, United States.
Maya K VadivelooDepartment of Nutrition, College of Health Sciences, The University of Rhode Island, Kingston, RI, United States.
Emily ElenioDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, United States.
Lisa M PowellDivision of Health Policy and Administration, School of Public Health, University of Illinois Chicago, Chicago, IL, United States.

Funding

Development of personalized healthy food incentives to improve diet and cardiovascular riskK01HL165104 · NHLBI · UNIVERSITY OF RHODE ISLAND · PI MAYA VADIVELOO · 2023 to 2026
$689k
NHLBI NIH HHS K01 HL165104
6 · The paper itself

Abstract

Objective: To test the short-term effect of a state-level fruit and vegetable incentive (FVI) on food and nutrition security among Supplemental Nutrition Assistance Program (SNAP) participants. Methods: In January 2024, Rhode Island (RI) implemented a FVI, which provided a $0.50 credit for every $1.00 spent on fresh FV up to $25/month. Using a difference-in-differences approach, we used separate adjusted logistic regression models to evaluate FVI impacts on household food and nutrition insecurity and perceived FV affordability, in RI relative to changes in the comparison site of Connecticut (CT), ~6 months after implementation. Results: At baseline, participants' ( Conclusion: We did not observe short-term changes in food or nutrition insecurity associated with the FVI provided to SNAP participants. Future analyses should evaluate longer-term policy effects.

Indexed as

food insecurityfruits and vegetablesnutrition insecuritynutrition policyquasi-experimental design

Identifiers

PMID41383344
PMCPMC12692237

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.