Evidence map›Paper›PMID 38857209›Full record

Trial reportPloS one2024

Impact of nutrient warning labels on Colombian consumers' selection and identification of food and drinks high in sugar, sodium, and saturated fat: A randomized controlled trial.

Mercedes Mora-Plazas, Isabella Carolyn Aida Higgins, Luis Fernando Gomez, Marissa G Hall, Maria Fernanda Parra, Maxime Bercholz, Nandita Murukutla, Lindsey Smith Taillie

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05783726 (Testing Product Messages in Colombia), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05783726 nacompletednot on this map

Testing Product Messages in Colombia

TypeinterventionalSponsorUniversity of North Carolina, Chapel HillRan2023 to 2023Enrolled8,086ConditionsObesityArmsControl, Nutriscore Label, Adapted Peruvian Nutrient Label, Guideline Daily Amount Label
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

8 authors.

Mercedes Mora-PlazasDepartamento de Nutrición Humana, Universidad Nacional de Colombia, Bogotá, Colombia, United States of America.
Isabella Carolyn Aida HigginsCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-0241-2378
Luis Fernando GomezFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia, United States of America.
Marissa G HallDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Maria Fernanda ParraFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia, United States of America.
Maxime BercholzCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-3279-6408
Nandita MurukutlaVital Strategies, New York, New York, United States of America.
Lindsey Smith TaillieCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-4555-2525

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
NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectiveThis study assessed the impact of nutrient warnings on product selection and ability to identify food products high in nutrients of concern in Colombia.

methodsIn an online experiment (May-June 2023), Colombian adults were randomized to a nutrient warning, guideline daily amounts (GDA), Nutri-Score, or no-label condition (n = 8,004). Participants completed selection tasks between two fruit drinks labeled according to their condition, one high in sugar and one not. Next, participants answered questions about products high in sugar, sodium, and/or saturated fat ("high-in" product). Finally, they selected which label would most discourage them from consuming a high-in product.

resultsFewer participants (17%) exposed to the nutrient warning indicated they would purchase the high-sugar fruit drink compared to Nutri-Score (27%, Holm-adjusted (adj) p<0.001) and no label conditions (31%, adj p<0.001); there were no differences between the nutrient warning and GDA label (14%, adj p = 0.087). Compared to the nutrient warning, the GDA label was slightly more effective at helping consumers identify which drink was high in sugar (89% versus 92%, adj p<0.001), while the Nutri-Score and no-label conditions were less effective. Compared to all other conditions, nutrient warnings were more effective at helping participants identify that products were high in nutrients of concern, were more effective at decreasing intentions to purchase these high-in products and were perceived as more effective. Nutrient warnings were most often selected as the label that most discouraged consumption.

conclusionsNutrient warnings are a promising policy to help consumers identify and discourage consumption of products high in nutrients of concern.

trial registrationTrial Registration: NCT05783726.

Indexed as

Consumer BehaviorFood LabelingAdolescentAdultBeveragesColombiaDietary SugarsFatty AcidsFemaleFood PreferencesHumansMaleMiddle AgedNutrientsNutritive ValueYoung AdultDietary SugarsFatty AcidsNutrients

Identifiers

PMID38857209
PMCPMC11164358

What OpenQuestion holds

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Registered trials

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.