Clinical trial NCT05038163: Are Sugar-Sweetened Beverage Information Labels Well-Targeted
Official title: Are Sugar-Sweetened Beverage Information Labels Well-Targeted: Evidence and Welfare Implications
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Soft Drink Consumption
Sugar-sweetened Beverages
Information Labels
Lead sponsor: National Bureau of Economic Research, Inc.
Sponsor class: OTHER
Collaborators: name: University of California, Berkeley
name: National Institute on Aging (NIA)
First posted: 2021-09-08
Enrollment: 5845
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: PREVENTION

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.

Detailed description: We will use online ads to recruit people who are shopping online for soda, and direct them to a two-stage online Qualtrics experiment. In the first stage (Part I), we will elicit subjects' nutritional literacy and self-control for resisting sugary drinks, following the methodology of Allcott et al. (2019). Allcott et al. (2019) show that these two measures explain 31% of sugary drinks consumption in a nationally-representative sample of approximately 20,000 households, after controlling for detailed demographic information and elicitations of "tastes" for various types of drinks. Additionally, Allcott et al. (2019) demonstrate how these measures can be used to provide an estimate of over-consumption of sugary drinks at the individual level. Consequently, the first stage allows us to obtain estimates of the internality.

A week later, we will recruit participants in the first stage to participate in the second stage of the experiment (Part II). We create a time delay to minimize the potential effect of the first-stage questions on the second-stage choices. In the second stage, we will first ask participants to select their three favorite sugary drinks from a list. We will then ask participants to make an initial set of choices between those drinks and sugar-free alternatives (e.g., Seagram's Ginger Ale versus 365 Ginger) at various relative prices. Specifically, we will elicit their willingness to pay using a multiple price list, as is standard in the behavioral 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. Choices will be incentive-compatible: for each consumer we will honor their choice in a randomly selected decision (i.e., we will purchase the chosen package of soft drinks for them plus award them any additional money associated with that choice).

Following an initial set of choices, we will ask subjects to choose again. In this second set of choices, we will randomize whether participants see the soft drink options paired with an information label. We will also randomize the types of labels, including: (i) an inflated nutrition label that draws attention to the differences in calories and sugar content, (ii) the stoplight warning label developed by Grummon, Hall, et al. (2019), and (iii) a graphic warning label developed by Donnelly et al. (2018). The control group will instead make the same choices without seeing any label. Leveraging the within-subject nature of design, we will then estimate how well-targeted each information label is by estimating how the subjects' internalities covary with their changes in the prices at which they are willing to buy soft drinks after seeing the information label.

Eligibility criteria: Inclusion Criteria:

* US resident
* Shopping online for sugar-sweetened beverages

Primary outcomes:
measure: Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative
timeFrame: 1 week after recruitment (during Part II of the experiment)
measure: Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative, Among Adults Aged 65+
timeFrame: 1 week after recruitment (during Part II of the experiment)
Secondary outcomes:
Other outcomes:
measure: Willingness to Purchase Sugar-sweetened Beverage vs. Sugar-free Alternative, by Subgroups
timeFrame: 1 week after recruitment (during Part II of the experiment)
Locations:
city: Berkeley
country: United States
facility: University of California, Berkeley
state: California
Study officials:
affiliation: UC Berkeley and NBER
name: Dmitry Taubinsky, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Allcott H, Lockwood BB, Taubinsky D. Regressive Sin Taxes, with an Application to the Optimal Soda Tax. Quarterly Journal of Economics. 2019; 134(3).
citation: Grummon 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.
citation: Donnelly 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.