Evidence map›Paper›PMID 36965067›Full record

Trial reportPediatric obesity2023

Effects of pictorial warnings on parents' purchases and perceptions of sugar-sweetened beverage categories.

Aline D'Angelo Campos, Lindsey Smith Taillie, Gabriela Vatavuk-Serrati, Anna H Grummon, Isabella C A Higgins, Marissa G Hall

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Pediatric obesity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
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

6 authors.

Aline D'Angelo CamposDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-7382-5976
Lindsey Smith TaillieCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Gabriela Vatavuk-SerratiCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Anna H GrummonDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA.ORCID 0000-0002-8705-038X
Isabella C A HigginsDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Marissa G HallDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
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
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
Developing and Evaluating Health and Environmental Messages to Improve Diet in Emerging AdultsK01HL158608 · NHLBI · STANFORD UNIVERSITY · PI Anna H Grummon · 2022 to 2026
$660k
NHLBI NIH HHS K01 HL147713NHLBI NIH HHS K01 HL158608NHLBI NIH HHS T32 HL098048NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

backgroundSugar-sweetened beverage (SSB) consumption remains high among US children. Warning labels on SSBs hold promise for reducing consumption, but their impact may differ by SSB category.

objectivesThis study examined the effects of pictorial warnings on parents' beverage purchases and perceptions across SSB categories.

methodsParents of children ages 2-12 (n = 326) visited a convenience store laboratory in North Carolina. Participants were randomly assigned to see SSBs carrying either pictorial warning labels or control labels. Parents purchased a beverage for their child and completed a survey.

resultsResponses from parents in the control arm suggest underlying perceptions of flavoured milk (2.8 on scale ranging from 1 to 5), flavoured water (2.6), and fruit-flavoured drinks (2.5) as the most healthful SSB categories. Compared to the control, pictorial warnings led to the largest reductions in purchases of fruit drinks (-61%), soda (-36%) and flavoured milk (-32%). Warnings also lowered the perceived healthfulness of flavoured water (d = -0.34), flavoured milk (d = -0.28), sports drinks (d = -0.25), and a reduction in intentions to give one's child sports drinks (d = -0.30), flavoured water (d = -0.24) and sweet tea (d = -0.22, all p < 0.05).

conclusionsWarning labels may have heterogeneous effects across SSB categories. Future research should assess the psychological mechanisms underlying these heterogeneous effects.

Indexed as

Sugar-Sweetened BeveragesAnimalsBeveragesChildHumansMilkParentsWaterWaterbeverage categoriesgraphic warningshealth warning labelspictorial labelssugar-sweetened beveragessugary drinks

Identifiers

PMID36965067
PMCPMC10687846

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.