Trial reportJAMA network open2025
Healthy Food Benefit Programs, Fruit and Vegetable Consumption, and Food Security.
Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Factors associated with discontinued participation in a fruit and vegetable incentive program in Seattle, Washington (United States): The role of community-based organizations in engaging non-English speakers.Preventive medicine reports · 2026Article
- An evaluation of a state-level fruit and vegetable incentive's impacts on food and nutrition security among SNAP participants.Frontiers in nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Importance: Diet quality, including fruit and vegetable intake, is a determinant of health, yet fresh fruits and vegetables are inaccessible to many lower-income and marginalized households. Healthy food benefit programs may reduce health disparities by increasing fruit and vegetable consumption. Objectives: To estimate the outcomes of a $40 per month healthy food benefit program on food security and diet. Design, Setting, and Participants: Cohort study with randomly assigned treatment groups composed of participants seeking enrollment in Fresh Bucks, a healthy food benefit program for lower-income populations in Seattle, Washington. Participants were randomly assigned to enrollment in the program and to a waiting list. Outcomes were examined at baseline (October 2021) and follow-up (June 2022). Exposure: Two exposure groups were examined. First, random assignment to newly receive program benefits for 6 months vs assignment to a waiting list. Second, random assignment to be disenrolled from program benefits vs continued enrollment for 6 months. Main Outcomes and Measures: A modified version of the Behavioral Risk Factor Surveillance System Fruit and Vegetable Screening Questionnaire was used to calculate daily frequency of fruit and vegetable consumption as a continuous outcome and a binary indicator of consuming less than 3 vs 3 or more times per day. Food security was measured using the 2-item Hunger Vital Signs screener. Results: A total of 1973 participants were included, with 757 who received the program and 1216 who were disenrolled (1339 [68%] aged ≥60 years; 1007 [51%] Asian; 209 [11%] Black; 523 [27%] White). The program was associated with a 5.5 percentage point (pp) (95% CI, 0.05-10.91 pp) increase in food security and a 7.5 pp (95% CI, 0.39-14.52 pp) increase in the proportion of participants consuming fruit and vegetables 3 or more times per day. Continuous fruit and vegetable consumption changes were null; however, differential outcomes by income, language, and race and ethnicity were found. Examining these same outcomes in a population assigned to disenrollment, lower fruit and vegetable intake and food security were found vs those who remained in the program. Conclusions and Relevance: This cohort study of a healthy food benefit program found reduced food insecurity and improved fruit and vegetable consumption in a lower-income population randomly assigned to program enrollment.
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