Food Preferences Clinical Trial
Official title:
Reshaping Food Choice at University of Michigan Dining Halls to Accelerate Carbon Neutrality
Verified date | January 2023 |
Source | University of Michigan |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Nearly a quarter of global greenhouse gas emissions originate from agriculture. Consumer demand for food, especially carbon-intensive red meats, largely underlies these emissions. Therefore, reducing consumption of red meat has the potential for transformative impacts on climate change. Our interdisciplinary team of researchers and dining staff aims to determine the carbon impact of evidence-based behavior change interventions to reduce red meat consumption at University of Michigan dining halls. Using an experimental design, we will evaluate the impacts of three "nudge" interventions (i.e., modifying environmental cues and incentives) to reduce red meat consumption in three randomly assigned treatment dining halls vis-à-vis three paired control dining halls. Nudges will include changing default food items and altering food labels. We will: 1) collect data on meals served during each intervention periods to assess the separate and combined effects of the interventions on red meat consumption; 2) conduct e-mail interviews with students to understand treatment effect heterogeneity and sociodemographic determinants of food choice; and, 3) conduct focus group discussions and interviews, respectively, with students and dining staff to assess implementation feasibility. We expect that this research will generate scalable, replicable solutions for reducing greenhouse gas emissions through dietary change at universities and similar institutions, will significantly advance the food choice literature, and will influence sustainability strategies at university dining operations nationally given the proposed team's close partnership with regional and national dining programs.
Status | Completed |
Enrollment | 3003 |
Est. completion date | December 18, 2022 |
Est. primary completion date | December 18, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Student Survey: - An individual must have been a frequent diner at one of the six project dining halls during the first three weeks of the academic term - An individual must have attended only treatment or only control dining halls for 90% or more of their dining hall visits during the first three weeks of the academic term Student Focus Group: - Must have participated in the student survey - We will stratify the sample by selecting respondents whose red meat consumption either increased, decreased or remained the same (based on baseline to endline comparisons of data in the student survey) Dining Staff Interviews: - Must have been a non-student member of the Michigan Dining staff at one of the six project dining halls during the relevant intervention period. |
Country | Name | City | State |
---|---|---|---|
United States | University of Michigan | Ann Arbor | Michigan |
Lead Sponsor | Collaborator |
---|---|
University of Michigan | Graham Sustainability Institute of the University of Michigan |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The difference in the change in the average amount of red meat served in treatment vs. control dining halls from the pre-intervention to intervention period based on service data from dining hall operations staff | We will assess the amount of red meat served across project dining halls from the the pre-intervention to the intervention period using "post-cost" data collected by operations staff (i.e., the amount of each dish prepared prior to the start of a meal period as well as the amount of each dish remaining at the end of the meal period with units of measure standardized to kg. We will assess the average weight of red meat served in each dining hall during the pre-intervention baseline period compared to the average weight of red meat served in each dining hall during the intervention period. We will do a difference-in-difference analysis to identify whether the change in the amount of red meat served at treatment vs. control dining halls differed during this time period. Difference-in-difference analyses examine the difference in the change in an outcome between a treatment and control group. | 11 week intervention period (during each of 3 academic semesters) | |
Primary | The difference in the change in the average amount of red meat purchased by dining halls in treatment vs. control dining halls from the pre-intervention to intervention period | We will assess the average amount of red meat purchased by each of the 6 project dining halls during the pre-intervention period and during the intervention period.
We will do a difference-in-difference analysis to identify whether the change in the amount of red meat purchased at treatment vs. control dining halls differed during these time periods. |
11 week intervention period (during each of 3 academic semesters) | |
Primary | The difference in the change in the average amount of red meat consumed in treatment vs. control dining halls from the pre-intervention to intervention period based on 30-day food frequency questionnaire intake | We will assess the amount of red meat consumed by a subsample of dining hall patrons (n = 1,000) at each of the 6 project dining halls from the start to the end of each intervention period. This will be done through a self-administered food frequency questionnaire that asks respondents to report their frequency of consumption of red meat items in the previous 30 days.
We will do a difference-in-difference analysis to identify whether the change in the amount of red meat consumed by respondents who frequently patron treatment vs. control dining halls differed during this time period. |
11 week intervention period (during each of 3 academic semesters) | |
Secondary | The change in the average amount of red meat served at meal stations in treatment vs. control dining halls from the pre-intervention to intervention period based on service data from dining hall operations staff | We will assess the average amount of red meat served in each of the 6 project dining halls during the pre-intervention and the intervention periods. We will assess the difference in this amount of red meat served within a single dining hall to assess if and how this amount changed. Data on red meat served in each dining hall will begin 4 weeks before the start of each intervention period, thereby allowing us to compare the amount of red meat served before interventions begin to red meat served thereafter.
We will assess the average weight of red meat served in each dining hall during the pre-intervention baseline period compared to the average weight of red meat served in each dining hall during the intervention period. |
15 weeks (4 week baseline period + 11 week intervention period (during each of 3 academic semesters) | |
Secondary | The change in the average amount of red meat purchased by dining halls in treatment vs. control dining halls from the pre-intervention to intervention period | We will assess the amount of red meat purchased in each of the 6 project dining halls during the pre-intervention and the intervention periods. We will assess the difference in this amount of red meat purchased within a single dining hall to assess if and how this amount changed. Data on red meat purchased in each dining hall will begin 4 weeks before the start of each intervention period, thereby allowing us to compare the amount of red meat purchased before interventions begin to red meat purchased thereafter. | 15 weeks (4 week baseline period + 11 week intervention period (during each of 3 academic semesters) |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT03003923 -
Promoting Vegetable Intake in Preschool Aged Children
|
N/A | |
Completed |
NCT03113474 -
Profiling the Endocannabinoid Response to Hedonic Eating
|
N/A | |
Recruiting |
NCT04662606 -
Neurofunctional Correlates of Intentional Actions Towards Food Stimuli
|
N/A | |
Recruiting |
NCT06015490 -
The Impact of the Physiological Response to Sugar on Brain Activity and Behavior
|
N/A | |
Recruiting |
NCT05652842 -
Assessing the Impact of Rotational and Shift Work on Sleep, Activity, Energy Balance, and Food Choice in Adults
|
||
Completed |
NCT05079477 -
Online Study of the Effects of Sugary Drink Warning Labels on Consumption
|
N/A | |
Recruiting |
NCT05977348 -
Increasing Food Literacy in Preschoolers to Reduce Obesity Risk
|
N/A | |
Completed |
NCT04544332 -
The GAIN Study: Understanding What Helps Children Learn to Like and Eat New Foods
|
||
Completed |
NCT04497974 -
Sweet Tooth: Nature or Nurture? Role of Long-term Dietary Sweetness Exposure on Sweetness Preferences
|
N/A | |
Completed |
NCT03400566 -
Effects of Experiential Learning on Vegetable Intake in Preschool Children
|
N/A | |
Active, not recruiting |
NCT04262102 -
The Dastatuz Project
|
N/A | |
Completed |
NCT05592340 -
Restaurant Menu Carbon Footprint Labeling
|
N/A | |
Recruiting |
NCT02005003 -
Cognitive and Metabolic Effects of a Probiotic Supplement
|
N/A | |
Completed |
NCT05432271 -
Online Food and Beverage Labels and Vending Machine Selections
|
N/A | |
Active, not recruiting |
NCT04788836 -
How Altered Gut-Brain-Axis Influences Food Choices: Part 2 (BrainFood)
|
||
Completed |
NCT05175391 -
Improving Protein Intake in Older Adults
|
N/A | |
Not yet recruiting |
NCT06324630 -
Implementation of Innovative Food Prescription Programs in Older Adults
|
N/A | |
Recruiting |
NCT02931812 -
Feeding Behavior and Taste Sensitivity Before and After Liver or Renal Transplantation
|
||
Completed |
NCT02457234 -
Influence of Cultural Immersion on Willingness to Try Fruits and Vegetables Among Children in Guam: the Traditions Study
|
N/A | |
Recruiting |
NCT06432517 -
Sources and Mechanisms of Energy Compensation
|
N/A |