Evidence map›Paper›PMID 37211358›Full record

ArticlePublic health nutrition2023

Sociodemographic disparities in purchases of fruit drinks with policy relevant front-of-package nutrition claims.

Emily Duffy, Shu Wen Ng, Marissa G Hall, Maxime Bercholz, Natalia Rebolledo, Aviva Musicus, Lindsey Smith Taillie

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

7 authors.

Emily DuffyDepartment of Nutrition, University of North Carolina at Chapel Hill Gillings School of Global Public Health and Carolina Population Center, 123 W Franklin St, Chapel Hill, NC27516, USA.ORCID 0000-0003-0981-1291
Shu Wen NgDepartment of Nutrition, University of North Carolina at Chapel Hill Gillings School of Global Public Health and Carolina Population Center, 123 W Franklin St, Chapel Hill, NC27516, USA.ORCID 0000-0003-0582-110X
Marissa G HallDepartment of Health Behavior, University of North Carolina at Chapel Hill Gillings School of Global Public Health and Carolina Population Center, and UNC Lineberger Comprehensive Cancer Center, School of Medicine, Chapel Hill, NC, USA.
Maxime BercholzCarolina Population Center, Chapel Hill, NC, USA.
Natalia RebolledoDepartment of Nutrition, University of North Carolina at Chapel Hill Gillings School of Global Public Health and Carolina Population Center, 123 W Franklin St, Chapel Hill, NC27516, USA.
Aviva MusicusDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-4404-8885
Lindsey Smith TaillieDepartment of Nutrition, University of North Carolina at Chapel Hill Gillings School of Global Public Health and Carolina Population Center, 123 W Franklin St, Chapel Hill, NC27516, USA.

Funding

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
Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENG, EUGENIA, TATE, DEBORAH F. · 2009 to 2023
$3.4M
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
Designing and Evaluating High-Impact Pictorial Health Warnings for Food ProductsK01HL147713 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALL, MARISSA · 2019 to 2023
$738k
NCI NIH HHS T32 CA057711NCI NIH HHS T32 CA128582NHLBI NIH HHS K01 HL147713NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

objectiveOur objectives were to describe sociodemographic characteristics associated with the purchase of (1) any fruit drinks and (2) fruit drinks with specific front-of-package (FOP) nutrition claims.

designCross-sectional.

settingUSA.

participantsWe merged fruit drink purchasing data from 60 712 household-months from 5233 households with children 0-5 years participating in Nielsen Homescan in 2017 with nutrition claims data. We examined differences in predicted probabilities of purchasing any fruit drinks by race/ethnicity, income and education. We constructed inverse probability (IP) weights based on likelihood of purchasing any fruit drinks. We used IP-weighted multivariable logistic regression models to examine predicted probabilities of purchasing fruit drinks with specific FOP claims.

resultsOne-third of households with young children purchased any fruit drinks. Non-Hispanic (NH) Black (51·6 %), Hispanic (36·3 %), lower-income (39·3 %) and lower-educated households (40·9 %) were more likely to purchase any fruit drinks than NH White (31·3 %), higher-income (25·8 %) and higher-educated households (30·3 %) (all

conclusionsWe found a higher likelihood of fruit drink purchases in lower-income, lower-educated, NH Black and Hispanic households. Experimental studies should determine if nutrition claims may be contributing to disparities in fruit drink consumption.

Indexed as

Consumer BehaviorFruitBeveragesChildChild, PreschoolCross-Sectional StudiesFamily CharacteristicsHumansIncomeChildhoodNutrition claimsSugar-sweetened beverage

Identifiers

PMID37211358
PMCPMC10410375

What OpenQuestion holds

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LicenceCC BY
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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.