Evidence map›Paper›PMID 32528823›Full record

ArticlePreventive medicine reports2020

Examining disparities in diet quality between SNAP participants and non-participants using Oaxaca-Blinder decomposition analysis.

Chelsea R Singleton, Sabrina K Young, Nicollette Kessee, Sparkle E Springfield, Bisakha P Sen

Abstract read
In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
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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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Chelsea R SingletonDepartment of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, 1206 S Fourth St., Champaign, IL 61820, USA.
Sabrina K YoungDivision of Health Policy and Administration, University of Illinois at Chicago, 1603 W Taylor Street, Chicago, IL 60612, USA.
Nicollette KesseeDepartment of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 W Taylor St., Chicago, IL 60612, USA.
Sparkle E SpringfieldStanford Prevention Research Center, Stanford University, 3300 Hillview Avenue, Palo Alto, CA 94304, USA.
Bisakha P SenDepartment of Health Care Organization and Policy, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35294, USA.

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
Cancer Health Equity Career Development ProgramT32CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Marian L. Fitzgibbon · 2018 to 2026
$3.0M
Health consequences of Supplemental Nutrition Assistance Program administrative decisions across the monthly SNAP benefit cycleF31CA232324 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YOUNG, SABRINA KATHERINE · 2019 to 2020
$74k
NCI NIH HHS F31 CA232324NCI NIH HHS R25 CA057699NCI NIH HHS T32 CA057699NHLBI NIH HHS T32 HL007034
6 · The paper itself

Abstract

Recent studies have reported that SNAP participants have poorer diet quality than non-participants. This study aimed to examine how differences in socio-demographic, household, and health-related measures explain disparities in diet quality between SNAP participants and non-participants using Oaxaca-Blinder decomposition analysis. We analyzed cross-sectional data on 14,331 adult respondents of the National Health and Nutrition Examination Survey (NHANES) 2009 - 2014. To measure diet quality, we applied the Healthy Eating Index (HEI)-2015 to respondents' 24-hour dietary recall data (scale: 0-100 points). We used Oaxaca-Blinder decomposition analysis to determine how much of the disparity in HEI-2015 total score between SNAP participants and non-participants was explained by socio-demographic (e.g., age, race/ethnicity, educational), household (e.g., household size, food security status), and health-related measures (e.g., BMI, smoking status). Analyses performed revealed significant differences in HEI-2015 total score by SNAP participation status (p < 0.001). We found that the total gap in HEI-2015 total score between SNAP participants and income-ineligible non-participants was 6.30 points. Socio-demographic measures alone explained 72.40% of the disparity. All measures together explained 86.31% of the disparity. The total gap between SNAP participants and income-eligible non-participants was 3.24 points. Socio-demographic measures alone explained 35.51% of this disparity while all measures together explained 56.86%. We observed disparities in diet quality between SNAP participants and non-participants. Socio-demographic, household, and health-related measures explained a significant amount of the disparity that existed between SNAP participants and income-ineligible non-participants; they explained less of the disparity between SNAP participants and income-eligible non-participants.

Indexed as

BMI, Body Mass IndexCDC, Centers for Disease Control and PreventionDGAs, Dietary Guidelines for AmericansDietFood assistanceHEI, Healthy Eating IndexIPR, Income-to-Poverty RatioNHANES, National Health and Nutrition Examination SurveyNutrition surveysPovertySNAP, Supplemental Nutrition Assistance Program

Identifiers

PMID32528823
PMCPMC7280767

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.