Literature DB >> 33878350

Designing warnings for sugary drinks: A randomized experiment with Latino parents and non-Latino parents.

Marissa G Hall1, Allison J Lazard2, Anna H Grummon3, Isabella C A Higgins4, Maxime Bercholz4, Ana Paula C Richter5, Lindsey Smith Taillie6.   

Abstract

Sugary drink warnings are a promising policy for reducing sugary drink consumption, but it remains unknown how to design warnings to maximize their impact overall and among diverse population groups, including parents of Latino ethnicity and parents with low English use. In 2019, we randomized US parents of children ages 2-12 (n = 1078, 48% Latino ethnicity, 13% low English use) to one topic (one of four warnings, or a neutral control), which they viewed on three designs (text-only, icon, and graphic) to assess reactions to the various warnings on sugary drinks. All warning topics were perceived as more effective than the control (average differential effect [ADE] ranged from 1.77 to 1.84 [5-point Likert scale], all p < .001). All warning topics also led to greater thinking about harms of sugary drinks (all p < .001) and lower purchase intentions (all p < .01). Compared to text-only warnings, icon (ADE = 0.18) and graphic warnings (ADE = 0.30) elicited higher perceived message effectiveness, as well as greater thinking about the harms of sugary drinks, lower perceived healthfulness, and lower purchase intentions (all p < .001). The impact of icon warnings (vs. text warnings) was stronger for parents with low English use, compared to those with high English use (p = .024). Similarly, the impact of icon (vs. text warnings) was stronger for Latino parents than non-Latino parents (p = .034). This experimental study indicates that many warning topics hold promise for behavior change and that including images with warnings could increase warning efficacy, particularly among Latino parents and parents with low English use. Clinical Trial Registration: NCT04382599.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health policy; Hispanic; Latino/a health; Obesity; Sugar-sweetened beverages; Warning labels

Mesh:

Year:  2021        PMID: 33878350      PMCID: PMC8958622          DOI: 10.1016/j.ypmed.2021.106562

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.637


  44 in total

Review 1.  Eating behaviors of children in the context of their family environment.

Authors:  Tanja V E Kral; Erin M Rauh
Journal:  Physiol Behav       Date:  2010-05-10

Review 2.  Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis.

Authors:  Lenny R Vartanian; Marlene B Schwartz; Kelly D Brownell
Journal:  Am J Public Health       Date:  2007-02-28       Impact factor: 9.308

3.  Understanding Why Pictorial Cigarette Pack Warnings Increase Quit Attempts.

Authors:  Noel T Brewer; Humberto Parada; Marissa G Hall; Marcella H Boynton; Seth M Noar; Kurt M Ribisl
Journal:  Ann Behav Med       Date:  2019-03-01

4.  The impact of front-of-package claims, fruit images, and health warnings on consumers' perceptions of sugar-sweetened fruit drinks: Three randomized experiments.

Authors:  Marissa G Hall; Allison J Lazard; Anna H Grummon; Jennifer R Mendel; Lindsey Smith Taillie
Journal:  Prev Med       Date:  2020-01-23       Impact factor: 4.018

5.  Children's food choice process in the home environment. A qualitative descriptive study.

Authors:  Joanna E Holsten; Janet A Deatrick; Shiriki Kumanyika; Jennifer Pinto-Martin; Charlene W Compher
Journal:  Appetite       Date:  2011-09-29       Impact factor: 3.868

6.  Pictorial Cigarette Pack Warnings Increase Some Risk Appraisals But Not Risk Beliefs: A Meta-Analysis.

Authors:  Seth M Noar; Jacob A Rohde; Joshua O Barker; Marissa G Hall; Noel T Brewer
Journal:  Hum Commun Res       Date:  2020-02-03

7.  Reactions to graphic and text health warnings for cigarettes, sugar-sweetened beverages, and alcohol: An online randomized experiment of US adults.

Authors:  Marissa G Hall; Anna H Grummon; Allison J Lazard; Olivia M Maynard; Lindsey Smith Taillie
Journal:  Prev Med       Date:  2020-05-08       Impact factor: 4.018

8.  Sugar-Sweetened Beverage Health Warnings and Purchases: A Randomized Controlled Trial.

Authors:  Anna H Grummon; Lindsey S Taillie; Shelley D Golden; Marissa G Hall; Leah M Ranney; Noel T Brewer
Journal:  Am J Prev Med       Date:  2019-10-02       Impact factor: 5.043

Review 9.  Pictorial cigarette pack warnings: a meta-analysis of experimental studies.

Authors:  Seth M Noar; Marissa G Hall; Diane B Francis; Kurt M Ribisl; Jessica K Pepper; Noel T Brewer
Journal:  Tob Control       Date:  2015-05-06       Impact factor: 7.552

10.  Impact of e-cigarette health warnings on motivation to vape and smoke.

Authors:  Noel T Brewer; Michelle Jeong; Marissa G Hall; Sabeeh A Baig; Jennifer R Mendel; Allison J Lazard; Seth M Noar; Madeline R Kameny; Kurt M Ribisl
Journal:  Tob Control       Date:  2019-07-10       Impact factor: 7.552

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  11 in total

1.  Influence of the San Francisco, CA, Sugar-Sweetened Beverage Health Warning on Consumer Reactions: Implications for Equity from a Randomized Experiment.

Authors:  Anna H Grummon; Alexandria E Reimold; Marissa G Hall
Journal:  J Acad Nutr Diet       Date:  2021-08-27       Impact factor: 5.234

2.  Perceived effectiveness of added-sugar warning label designs for U.S. restaurant menus: An online randomized controlled trial.

Authors:  Desiree M Sigala; Marissa G Hall; Aviva A Musicus; Christina A Roberto; Sarah E Solar; Sili Fan; Sarah Sorscher; DeAnna Nara; Jennifer Falbe
Journal:  Prev Med       Date:  2022-05-17       Impact factor: 4.637

3.  Developing health and environmental warning messages about red meat: An online experiment.

Authors:  Lindsey Smith Taillie; Carmen E Prestemon; Marissa G Hall; Anna H Grummon; Annamaria Vesely; Lindsay M Jaacks
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

4.  Development of the UNC Perceived Message Effectiveness Scale for Youth.

Authors:  Seth M Noar; Nisha Gottfredson; Rhyan N Vereen; Rachel Kurtzman; Jennifer Mendel Sheldon; Elizabeth Adams; Marissa G Hall; Noel T Brewer
Journal:  Tob Control       Date:  2021-12-20       Impact factor: 6.953

5.  Using a Naturalistic Store Laboratory for Clinical Trials of Point-of-Sale Nutrition Policies and Interventions: A Feasibility and Validation Study.

Authors:  Marissa G Hall; Isabella C A Higgins; Anna H Grummon; Allison J Lazard; Carmen E Prestemon; Jennifer Mendel Sheldon; Lindsey Smith Taillie
Journal:  Int J Environ Res Public Health       Date:  2021-08-19       Impact factor: 3.390

6.  Perceived effect of warning label on parental food purchasing and drivers of food selection among South African parents-An exploratory study.

Authors:  Makoma Bopape; Lindsey Smith Taillie; Rina Swart
Journal:  Front Public Health       Date:  2022-08-05

7.  Text Messages to Curb Sugar-Sweetened Beverage Consumption among Pregnant Women and Mothers: A Mobile Health Randomized Controlled Trial.

Authors:  Jennifer A Woo Baidal; Kelsey Nichols; Nalini Charles; Lauren Chernick; Ngoc Duong; Morgan A Finkel; Jennifer Falbe; Linda Valeri
Journal:  Nutrients       Date:  2021-12-05       Impact factor: 5.717

8.  Caregivers' Understanding of Ingredients in Drinks Served to Young Children: Opportunities for Nutrition Education and Improved Labeling.

Authors:  Melissa L Jensen; Yoon Y Choi; Frances Fleming-Milici; Jennifer L Harris
Journal:  Curr Dev Nutr       Date:  2021-12-22

9.  The impact of pictorial health warnings on purchases of sugary drinks for children: A randomized controlled trial.

Authors:  Marissa G Hall; Anna H Grummon; Isabella C A Higgins; Allison J Lazard; Carmen E Prestemon; Mirian I Avendaño-Galdamez; Lindsey Smith Taillie
Journal:  PLoS Med       Date:  2022-02-01       Impact factor: 11.069

10.  Designing Environmental Messages to Discourage Red Meat Consumption: An Online Experiment.

Authors:  Alice Wistar; Marissa G Hall; Maxime Bercholz; Lindsey Smith Taillie
Journal:  Int J Environ Res Public Health       Date:  2022-03-02       Impact factor: 3.390

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