Evidence map›Paper›PMID 33245125›Full record

ArticleThe Journal of nutrition2021

Warning Labels Reduce Sugar-Sweetened Beverage Intake among College Students.

Cindy W Leung, Julia A Wolfson, Robert Hsu, Keith Soster, Steve Mangan, Jennifer Falbe

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04435145 (The Impact of Warning Labels on Reducing College Students' Sugar-Sweetened Beverage Intake), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT04435145 nacompletednot on this map

The Impact of Warning Labels on Reducing College Students' Sugar-Sweetened Beverage Intake

TypeinterventionalSponsorUniversity of MichiganRan2018 to 2019Enrolled1,067ConditionsDiet, HealthyArmsSugar-sweetened beverage warning label
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  2. Online RCT of Icon Added-Sugar Warning Labels for Restaurant Menus.American journal of preventive medicine · 2023
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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

6 authors.

Cindy W LeungDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Julia A WolfsonDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Robert HsuDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Keith SosterMichigan Dining, University of Michigan, Ann Arbor, MI, USA.
Steve ManganMichigan Dining, University of Michigan, Ann Arbor, MI, USA.
Jennifer FalbeHuman Development and Family Studies Program, Department of Human Ecology, University of California, Davis, Davis, CA, USA.

Funding

Understanding the risk of obesity in food-insecure children: the hidden role of stressR00HD084758 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEUNG, CINDY · 2017 to 2020
$820k
Reducing sugar-sweetened beverage consumption among young adults: A point-of-selection experimentK01DK113068 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FALBE, JENNIFER · 2018 to 2022
$814k
Development and Pilot Evaluation of a Novel Cooking Skills Intervention to Prevent DiabetesK01DK119166 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOLFSON, JULIA A · 2020 to 2023
$607k
Understanding the risk of obesity in food-insecure children: the hidden role of stressK99HD084758 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEUNG, CINDY · 2015 to 2016
$270k
NICHD NIH HHS R00 HD084758NIDDK NIH HHS K01 DK113068NIDDK NIH HHS K01 DK119166
6 · The paper itself

Abstract

backgroundHealth-related warning labels may reduce the intake of sugar-sweetened beverages (SSBs), but the effectiveness of such labels in real-world settings is not well established.

objectivesWe investigated the influence of warning labels on SSB intake among college students at a large public Midwestern university.

methodsWe conducted a quasi-experimental intervention study among 840 undergraduate students recruited from 3 dining halls on 1 university campus. One dining hall was selected as the intervention (I) site, whereas the other dining halls served as control (C) sites. In January 2019, warning labels were posted on SSB dispensers at the I site. All students reported their beverage intake using a modified beverage frequency questionnaire 2 mo before and 2 mo after the warning label implementation. Generalized linear models examined the influence of the warning labels on SSB consumption at the I site compared with the C sites, adjusting for students' sociodemographic characteristics.

resultsIn the sample, 68% were aged 17-18 y old at baseline, and 51% identified as female. From baseline to follow-up, there was a 19% decrease in SSB intake at the I site, compared with a 5% decrease at the C sites (P = 0.049 comparing I with C). This difference was driven by significant decreases in the intakes of fruit-flavored drinks, sweetened teas, and flavored milk at the I site compared with the C sites. Although not an SSB, 100% fruit juce consumption decreased 21% at the I site, compared with a 1% increase at the C sites (P = 0.01 comparing I with C). No significant differences were observed in the intakes of soda, energy drinks, sweetened coffees, and nonsugary drinks at the I site compared with the C sites.

conclusionsWarning labels were effective in reducing SSB intake among college students, particularly for fruit-flavored drinks, sweetened teas, and flavored milk.This trial was registered at clinicaltrials.gov as NCT04435145.

Indexed as

Diet SurveysFood LabelingSugar-Sweetened BeveragesUniversitiesAdolescentCarbonated BeveragesFemaleHumansMaleYoung Adultcollege studentsinterventionquasi-experimentalsugar-sweetened beverageswarning label

Identifiers

PMID33245125
PMCPMC7779215

What OpenQuestion holds

Textmetadata
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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.