Are Sugar-Sweetened Beverage Information Labels Well-Targeted
2 other identifiers
interventional
5,845
1 country
1
Brief Summary
We will study the extent to which soft drink information labels -- designed to curb unhealthy consumption -- are well-targeted to the most biased consumers.The study team will deploy novel methods for evaluating the targeting properties of information labels via an incentive-compatible online shopping experiment. At a high-level, we will ask whether the treatment effects of the information labels are concentrated on individuals with the biggest self-control problems and with the least knowledge of nutrition. We will first use the methodology from Allcott et al. (2019) to estimate the internality for each participant. We will then have participants make shopping decisions for soft drinks, first absent any information labels and then, for those not in the control group, in the presence of an information label. The within-subject design of the soft drinks experiment will allow us to estimate how the effects of the labels covary with consumers' internalities, and thus to determine whether the labels are well-targeted.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2021
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 31, 2021
CompletedFirst Posted
Study publicly available on registry
September 8, 2021
CompletedStudy Start
First participant enrolled
October 18, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 22, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 22, 2021
CompletedResults Posted
Study results publicly available
April 7, 2023
CompletedDecember 11, 2024
November 1, 2024
2 months
August 31, 2021
December 12, 2022
November 22, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative
How much consumers like, or are willing to pay for, sugar-sweetened beverages when compared to a sugar-free alternative. The survey instrument uses a multiple price list (MPL) to elicit each respondent's relative willingness to pay (WTP) for the sugary drink vs. the non-sugary alternative, a standard methodology in the economics literature where consumers answer a series of questions about whether they would prefer to buy a sugar-sweetened beverage at price X or a sugar-free alternative at price Y. For example, a relative WTP of $1.60 indicates a respondent is willing to pay an additional $1.60 for the sugary drink compared to the non-sugary alternative.
1 week after recruitment (during Part II of the experiment)
Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative, Among Adults Aged 65+
How much older adult consumers like, or are willing to pay for, sugar-sweetened beverages when compared to a sugar-free alternative. The survey instrument uses a multiple price list (MPL) to elicit each respondent's relative willingness to pay (WTP) for the sugary drink vs. the non-sugary alternative, a standard methodology in the economics literature where consumers answer a series of questions about whether they would prefer to buy a sugar-sweetened beverage at price X or a sugar-free alternative at price Y. For example, a relative WTP of $1.60 indicates a respondent is willing to pay an additional $1.60 for the sugary drink compared to the non-sugary alternative.
1 week after recruitment (during Part II of the experiment)
Other Outcomes (1)
Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative, by Subgroups
1 week after recruitment (during Part II of the experiment)
Study Arms (4)
Control Arm
NO INTERVENTIONIn Part II of the experiment, subjects are not presented with nutrition or warning labels when choosing between beverages.
Nutrition Labels Arm
EXPERIMENTALIn Part II of the experiment, subjects are shown enlarged nutrition labels when choosing between beverages.
Text Warning Labels Arm
EXPERIMENTALIn Part II of the experiment, subjects are shown a warning message about the health risks of sugary beverages when choosing between beverages.
Graphic Warning Labels Arm
EXPERIMENTALIn Part II of the experiment, subjects are shown a graphic warning message about the health risks of sugary beverages when choosing between beverages. The message, for example, could include photos of tooth decay and other negative health outcomes.
Interventions
The nutritional information label for each beverage is enlarged.
The health risks of sugary beverages are communicated to subjects using words/text and simple images.
The health risks of sugary beverages are communicated to subjects using a combination of words/text and graphic images/photographs.
Eligibility Criteria
You may qualify if:
- US resident
- Shopping online for sugar-sweetened beverages
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Bureau of Economic Research, Inc.lead
- University of California, Berkeleycollaborator
- National Institute on Aging (NIA)collaborator
Study Sites (1)
University of California, Berkeley
Berkeley, California, 94720, United States
Related Publications (3)
Allcott H, Lockwood BB, Taubinsky D. Regressive Sin Taxes, with an Application to the Optimal Soda Tax. Quarterly Journal of Economics. 2019; 134(3).
BACKGROUNDGrummon AH, Hall MG, Taillie LS, Brewer NT. How should sugar-sweetened beverage health warnings be designed? A randomized experiment. Prev Med. 2019 Apr;121:158-166. doi: 10.1016/j.ypmed.2019.02.010. Epub 2019 Feb 14.
PMID: 30772370BACKGROUNDDonnelly GE, Zatz LY, Svirsky D, John LK. The Effect of Graphic Warnings on Sugary-Drink Purchasing. Psychol Sci. 2018 Aug;29(8):1321-1333. doi: 10.1177/0956797618766361. Epub 2018 Jun 18.
PMID: 29912624BACKGROUND
Results Point of Contact
- Title
- Sarah Holmes Berk
- Organization
- NBER
Study Officials
- PRINCIPAL INVESTIGATOR
Dmitry Taubinsky, PhD
UC Berkeley and NBER
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 31, 2021
First Posted
September 8, 2021
Study Start
October 18, 2021
Primary Completion
December 22, 2021
Study Completion
December 22, 2021
Last Updated
December 11, 2024
Results First Posted
April 7, 2023
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- Within 12 months of the primary completion date or the resulting paper's online publication date, whichever comes first.
- Access Criteria
- Replication data and code are available via Dropbox. Use the URL provided below, or navigate to the project by searching for "When Do 'Nudges' Increase Welfare?" at allcott.stanford.edu/research/.
De-identified IPD will be posted to ClinicalTrials.gov and Open Science Framework within 12 months of the primary completion date or the resulting paper's online publication date, whichever comes first.