Evidence map›Paper›PMID 28818413›Full record

ArticleAmerican journal of preventive medicine2017

Transactions at a Northeastern Supermarket Chain: Differences by Supplemental Nutrition Assistance Program Use.

Rebecca L Franckle, Alyssa Moran, Tao Hou, Dan Blue, Julie Greene, Anne N Thorndike, Michele Polacsek, Eric B Rimm

Erratum issuedAbstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Rebecca L FranckleDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Alyssa MoranDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Tao HouDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Dan BlueHannaford Marketing, Hannaford Supermarkets, Scarborough, Maine.
Julie GreeneHannaford Healthy Living, Hannaford Supermarkets, Scarborough, Maine.
Anne N ThorndikeGeneral Medicine Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Michele PolacsekSchool of Community and Population Health, University of New England, Portland, Maine.
Eric B RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: erimm@hsph.harvard.edu.

Funding

TRAINING GRANT IN ACADEMIC NUTRITIONT32DK007703 · NIDDK · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTOPHER P DUGGAN, Frank B Hu · 1994 to 2026
$7.8M
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
NHLBI NIH HHS T32 HL098048NIDDK NIH HHS T32 DK007703
6 · The paper itself

Abstract

introductionAlthough one in seven Americans receives Supplemental Nutrition Assistance Program (SNAP) benefits, little is known about how these benefits for food are spent because individual-level sales data are not publicly available. The purpose of this study is to compare transactions made with and without SNAP benefits at a large regional supermarket chain.

methodsSales data were obtained from a large supermarket chain in the Northeastern U.S. for a period of 2 years (April 2012-April 2014). Multivariate multiple regression models were used to quantify relative differences in dollars spent on 31 predefined SNAP-eligible food categories. Analyses were completed in 2016.

resultsTransactions with SNAP benefit use included higher spending on less healthful food categories, including sugar-sweetened beverages ($1.08), red meat ($1.55), and convenience foods ($1.34), and lower spending on more healthful food categories, such as fruits (-$1.51), vegetables (-$1.35), and poultry (-$1.25) compared to transactions without SNAP benefit use.

conclusionsThese findings provide objective data to compare purchases made with and without SNAP benefits. Next steps should be to test proposed SNAP modifications to determine whether they would have the intended effect of promoting healthier purchasing patterns among SNAP beneficiaries.

Indexed as

FoodFood AssistanceNew England

Identifiers

PMID28818413
PMCPMC5657566

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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.