Evidence map›Paper›PMID 41228552›Full record

ArticleNutrients2025

An Analysis of the Affordability of Harvard, Mediterranean and DASH Eating Patterns for Individuals Enrolled in the Supplementary Nutrition Assistance Program (SNAP).

Daniel C Knudsen, Angela M Babb, McKenna R Conway, Danni L Beck

Abstract read
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Nutrients · 2026
    Article
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

4 authors.

Daniel C KnudsenOstrom Workshop, Indiana University, Bloomington, IN 47408, USA.
Angela M BabbIndependent Scholar, Bloomington, IN 47403, USA.
McKenna R ConwayDepartment of Geography, Indiana University, Bloomington, IN 47405, USA.
Danni L BeckDepartment of Geography, Indiana University, Bloomington, IN 47405, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesIn FY 2024, 12.3% of the U.S. population was enrolled in the Supplementary Nutrition Assistance Program or SNAP, the principal food and nutrition program of the U.S. government. Herein, we analyze the cost of the Harvard (HHEP), Mediterranean (MED) and Dietary Approaches to Stop Hypertension (DASH) eating patterns (EPs) to ascertain if they are affordable with the maximum allowable SNAP benefit.

methodsWe utilize the 2021 Thrifty Food Plan (TFP) framework to analyze the cost of each of these alternative EPs across 15 age/sex groups.

resultsWe find that the MED and DASH EPs' costs typically exceed the daily maximum SNAP benefit for those consuming more than 2100 calories.

conclusionsOur result suggests that reliance on fluid milk, allowance of more refined grains, starchy vegetables, red meat, added sugar and sodium and indifference toward food quality and freshness when calculating the maximum SNAP benefit reduces its cost in comparison to diets less reliant on fluid milk and more reliant on whole grains, fish, nuts, and fresh fruits and vegetables, a commonality shared by the HHEP, MED and DASH EPs. Health-centered alternative diets such as MED and DASH cannot be purchased with maximum allowable allocations of SNAP benefits, meaning that a poverty tax is placed on SNAP beneficiaries.

Indexed as

Dietary Approaches To Stop HypertensionDiet, MediterraneanFood AssistanceAdolescentAdultAgedCosts and Cost AnalysisFeeding BehaviorFemaleHumansMaleMiddle AgedPovertyUnited StatesYoung AdultDietary Approaches to Stop HypertensionHarvard Healthy Eating PatternMediterranean Eating PatternSupplementary Nutrition Assistance ProgramThrifty Food Plan

Identifiers

PMID41228552
PMCPMC12608724

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LicenceCC BY
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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.