Evidence map›Paper›PMID 40930197›Full record

ArticleAmerican journal of preventive medicine2026

Cost-Effectiveness and Health Equity Improvements From Excluding Sugar-Sweetened Beverages From the Supplemental Nutrition Assistance Program.

Aviva A Musicus, Jessica L Barrett, Stephanie M McCulloch, Michael W Long, Zachary J Ward, Angie L Cradock, Sara N Bleich, Steven L Gortmaker

Abstract read
In one paragraph

Article in American journal of preventive 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

8 authors.

Aviva A MusicusDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address: aam231@mail.harvard.edu.
Jessica L BarrettDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Stephanie M McCullochDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Michael W LongDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia.
Zachary J WardCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Angie L CradockDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Steven L GortmakerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
The Harvard Chan Education Program in Cancer Prevention and ControlT32CA057711 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Karen M. Emmons, ANNE LINDSAY FRAZIER · 2019 to 2026
$3.3M
Simulation Modeling and Disparities in Obesity and Chronic DiseaseR01HL146625 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI GORTMAKER, STEVEN L · 2019 to 2022
$1.6M
NCCDPHP CDC HHS U48 DP006376NCI NIH HHS T32 CA057711NHLBI NIH HHS R01 HL146625NHLBI NIH HHS T32 HL098048
6 · The paper itself

Abstract

introductionExcluding sugar-sweetened beverages from eligible purchases in the Supplemental Nutrition Assistance Program has been proposed as a strategy to improve diet quality and health. This study estimates the cost-effectiveness of this policy and its potential impact on health equity.

methodsThe Childhood Obesity Intervention Cost-Effectiveness Study microsimulation and systematic review process was used in 2024 to estimate the potential impact of excluding sugar-sweetened beverages from Supplemental Nutrition Assistance Program-eligible purchases over a 10-year period (2023-2032) for the U.S. POPULATION: Health outcomes related to excess weight, costs, and relative changes in obesity prevalence by income, race, and ethnicity groups in 2032 were estimated.

resultsThe policy is projected to be cost-saving, prevent 279,000 cases of obesity (95% uncertainty interval=149,000-446,000), and contribute 115,000 (95% uncertainty interval=60,100-187,000) quality-adjusted life years gained over 10 years among Supplemental Nutrition Assistance Program participants. The policy could save an estimated $2.75 billion in healthcare costs related to excess weight over 10 years, resulting in $3.35 in healthcare cost savings per dollar spent on implementation. Reductions in obesity prevalence were estimated to be 3.5 times greater among individuals with income ≤130% of the federal poverty level than the overall mean and 3-3.5 times greater among non-Hispanic Black and Hispanic individuals than among non-Hispanic White individuals.

conclusionsExcluding sugar-sweetened beverages from Supplemental Nutrition Assistance Program-eligible purchases could be a cost-saving strategy to improve health and health equity between income, racial, and ethnic groups. The U.S. Department of Agriculture could use pilot studies to test the real-world effects of excluding sugar-sweetened beverages from the Supplemental Nutrition Assistance Program.

Indexed as

Food AssistanceHealth EquityPediatric ObesitySugar-Sweetened BeveragesChildCost-Benefit AnalysisHumansMaleQuality-Adjusted Life YearsUnited States

Identifiers

PMID40930197
PMCPMC12740115

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.