About this trial
Unhealthy diets significantly contribute to major preventable chronic diseases including type 2 diabetes, obesity, heart disease and stroke, which disproportionally impact racial/ethnic minority groups and those with lower income \[1-3\]. Although taxes and warning labels targeting sugar-sweetened beverages (SSB) have been successful at shifting behavior \[4-7\], there are many other ultra-processed food products that contribute to unhealthy diets \[8\]. What is less well-known is whether a suite of healthy food policies that are expanded to target a range of ultra-processed foods can shift dietary choices and intake in meaningful ways. Our research team's long-term goal is to identify and understand the degree to which combinations of healthy food policies can improve nutrition security and reduce nutrition-related diseases.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
≥18 years old
Not currently eligible for or participating in SNAP or another government program that automatically qualifies the person for SNAP (e.g., WIC, TANF)
Reports consuming food from McDonald's or a similar fast-food chain at least once a month
Does most of the grocery shopping for the household
Disqualifiers
Does not meet all of the inclusion criteria
Cognitive impairment; per PIs discretion
Participant is under 18 years old
Does not speak English or Spanish
Trial design
Parallel
Treatments tested in this trial
Suite of healthy food policies
BehavioralA suite of healthy food policies in an online restaurant and grocery store including ultra-processed food and beverage taxes, front-of-pack nutrition labeling, and healthy check out regulations that restrict the promotion of ultra-processed products on the checkout pages.
Treatment groups
Trial outcomes
Primary outcomes
Average kcals purchased per participant per day from unhealthy ultra-processed food products that are targeted by our suite of healthy food policies
We will sum the number of kcals from ultra-processed food products purchased in the online grocery store and divide that by the number of people in the household and 7 days per week. We will then add that to the number of kcals from ultra-processed foods purchased from the online restaurant to calculate total kcals from ultra-processed foods purchased per study participant per day. We will also examine these outcomes separately in the grocery store and restaurant context.
Secondary outcomes
Average sodium, saturated fat, and added sugars purchased per participant per day from unhealthy ultra-processed food products that are targeted by our suite of policies
Using the same approach as our primary outcome, our secondary behavioral outcomes will be the average sodium, saturated fat, and added sugars purchased per participant per day. We will also examine these outcomes separately in the grocery store and restaurant context.
Average overall kcals, sodium, saturated fat, and added sugars from all foods purchased in the online grocery store and restaurant per participant per day
We will create this outcome using the same approach as our primary outcome, except we will look at all foods and beverages purchased, not just ultra-processed foods and beverages. We will also examine these outcomes separately in the grocery store and restaurant context.
Percentage of total dollars per order spent on products targeted by our suite of healthy food policies
To create this outcome for each week of the study, we will divide the number of dollars spent on targeted ultra-processed products by the total dollars spent and multiply by 100.
Total dollars spent on food and beverage products purchased outside of the study grocery store and restaurant
We will sum together the total amount of dollars spent on food and beverages purchased outside the study using outside receipts submitted by the participants.
Sponsors and contacts
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