Evidence map›Paper›PMID 30305190›Full record

ArticlePublic health nutrition2018

Supplemental Nutrition Assistance Program participation and racial/ethnic disparities in food and beverage purchases.

Anna H Grummon, Lindsey Smith Taillie

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Estimating the potential impact of the Australian government's reformulation targets on household sugar purchases.The international journal of behavioral nutrition and physical activity · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Nutrition Disparities and Cardiovascular Health.Current atherosclerosis reports · 2020
    Review
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

2 authors at 1 institution in 2 countries.

Anna H Grummon1Department of Health Behavior,Gillings School of Global Public Health,University of North Carolina at Chapel Hill,135 Dauer Drive,302 Rosenau Hall,CB#7440,Chapel Hill,NC27599,USA.ORCID 0000-0002-8705-038X
Lindsey Smith Taillie2Carolina Population Center,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015R01DK098072 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2013 to 2017
$3.2M
NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK098072
6 · The paper itself

Abstract

objectiveThe current study aimed to (i) describe racial/ethnic disparities in household food and beverage purchases among participants and non-participants in the Supplemental Nutrition Assistance Program (SNAP) and (ii) examine longitudinal associations between SNAP participation and purchases by race/ethnicity.

designTo describe disparities, we estimated sociodemographic-adjusted mean purchases of seven unhealthy food and beverage groups (e.g. junk food, sugar-sweetened beverages) and four nutrients (e.g. sugar, Na) among white, black and Hispanic SNAP-participating and non-participating households. To examine longitudinal associations, we used multivariable linear regression with household fixed effects.

settingUSA, 2010-2014. SUBJECTS: Food and beverage purchases among low-income (≤250 % federal poverty line) US households (n 30 403) participating in the Nielsen Homescan Panel.

resultsAmong non-participants, there were significant black-white disparities (i.e. differences favouring white households) in households' adjusted mean purchases of processed meat, sweeteners, sugar-sweetened beverages, energy and Na. These disparities persisted among SNAP participants. In contrast, the only significant Hispanic-white disparity among non-participants was for Na purchases; this disparity was reduced in magnitude and no longer significant among SNAP-participating households. Additionally, Hispanic households purchased less energy from junk foods than white households, regardless of SNAP status. In longitudinal models accounting for household fixed effects, SNAP participation was associated with increased energy purchased among black households. No other significant longitudinal associations between SNAP and purchase outcomes were observed.

conclusionsSNAP may not be meeting its potential to improve food and beverage purchases or reduce disparities. Research is needed to identify strategies for ensuring nutritious purchases across all racial/ethnic groups.

Indexed as

Consumer BehaviorFood AssistanceEnergy IntakeEthnicityFood PreferencesHumansNutritive ValuePovertySocioeconomic FactorsUnited StatesFood purchasesFood stampsLow-incomeNutrition assistanceRacial/ethnic disparitiesSupplemental Nutrition Assistance Program

Identifiers

PMID30305190
PMCPMC6298818
OpenAlexW2896970893

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.