Diabetes Mellitus, Type 2 Clinical Trial
Official title:
CTSI Pilot: Improving Adherence to a Diabetic Diet With a Grocery Shopping Intervention
Verified date | November 2023 |
Source | State University of New York at Buffalo |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
425 million adults live with diabetes worldwide, and the prevalence of Type 2 diabetes is rising. Dietary approaches are recommended for weight control and diabetes management, but modern environments, characterized by plentiful, unhealthy foods, pose challenges to selecting a healthy diet. Behavioral economics offers a framework for modifying the food environment to encourage individuals with diabetes to select low-calorie and low-sugar foods. The goal of this study is to test novel approaches informed by behavioral economics to promote healthier grocery shopping among diabetic patients. Adults who have Type 2 diabetes or who are at risk for developing Type 2 diabetes will be recruited. Participants will be randomly assigned to 1 of 2 interventions or a control group in which they will shop in-person as usual. The Online intervention will utilize online grocery shopping to promote healthier purchasing. The Defaults intervention will augment this intervention, showing participants a default shopping cart pre-filled with items that correspond to the DASH diet and diabetic diet goals, which they may modify as they like. Receipt data will be collected to quantify the alignment of purchases with diabetic diet goals before, during, and after interventions. Purchases lower in calories, carbohydrates, and sugar and higher in nutritional quality (DASH diet score) are expected in the Defaults group; the Online group is expected to have intermediary results between Defaults and Controls. The investigators will also explore effects of the interventions on spending and dietary intake. This study is intended to demonstrate the efficacy of strategies that leverage behavioral economics principles to make the purchasing of healthier foods easier. The strategies have translational significance as they could be incorporated into clinical treatment, with the potential to improve dietary intake, glucose regulation, weight, and medication needs among diabetic patients.
Status | Completed |
Enrollment | 65 |
Est. completion date | December 3, 2020 |
Est. primary completion date | December 3, 2020 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Must be at least 18 years old - Must have been diagnosed diabetes or demonstrate diabetes risk as defined by the American Diabetes Association - Must shop in-person at select local grocery stores at least weekly, and at least 75% of the grocery shopping for the household must be done at these stores - Must do at least 75% of the grocery shopping for the household - Must speak English Exclusion Criteria: - Is under 18 years of age - Does not meet diabetes/risk for diabetes criteria - Does not shop in-person at select local grocery stores at least weekly - Does not live in a household in which 75% of groceries come from select local grocery stores - Does not do at least 75% of the grocery shopping for the household - Does not speak English - Receives SNAP or WIC benefits (an exclusion criterion for this study due to incompatibility of EBT cards with the selected online grocery shopping platform at this time) - Has dietary restrictions or preferences that would not allow them to reasonably partake in the study (i.e. they would not be willing or able to buy/eat many of the staple foods included in default carts/recipe cards) |
Country | Name | City | State |
---|---|---|---|
United States | State University of New York at Buffalo | Buffalo | New York |
Lead Sponsor | Collaborator |
---|---|
State University of New York at Buffalo | National Center for Advancing Translational Sciences (NCATS) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Calories Purchased | Receipt data will be entered into Nutritionist Pro software and will be used to calculate total calories purchased from target grocery stores. | At post-test (week 5) | |
Primary | Calories Purchased | Receipt data are entered into Nutritionist Pro software and used to calculate total calories purchased from target grocery stores each week. For this analysis, the weekly values were aggregated, such that the least squares means reported herein represent average calories purchased across all 5 weeks, in the context of the repeated measures ANOVA model. | Weeks 1-5 (testing overall main effect of study group) | |
Primary | Change in Calories Purchased | Receipt data will be entered into Nutritionist Pro and will be used to calculate changes in total calories purchased from target grocery stores. | Baseline (week 1), intervention (weeks 2-4), and post-test (week 5) | |
Primary | Carbohydrates Purchased | Receipt data will be entered into Nutritionist Pro and will be used to calculate carbohydrates purchased from target grocery stores. | At post-test (week 5) | |
Primary | Carbohydrates Purchased | Receipt data are entered into Nutritionist Pro and used to calculate carbohydrates purchased from target grocery stores each week. For this analysis, the weekly values were aggregated, such that the least squares means reported herein represent average carbohydrates (grams) purchased across all 5 weeks, in the context of the repeated measures ANOVA model. | Weeks 1-5 (testing overall main effect of study group) | |
Primary | Change in Carbohydrates Purchased | Receipt data will be entered into Nutritionist Pro and will be used to calculate changes in carbohydrates purchased from target grocery stores. | Baseline (week 1), intervention (weeks 2-4), and post-test (week 5) | |
Primary | Sugars Purchased | Receipt data will be entered into Nutritionist Pro and will be used to calculate sugars purchased from target grocery stores. | At post-test (week 5) | |
Primary | Sugars Purchased | Receipt data are entered into Nutritionist Pro software and used to calculate total sugar purchased from target grocery stores each week. For this analysis, the weekly values were aggregated, such that the least squares means reported herein represent average sugar (grams) purchased across all 5 weeks, in the context of the repeated measures ANOVA model. | Weeks 1-5 (testing overall main effect of study group) | |
Primary | Change in Sugars Purchased | Receipt data will be entered into Nutritionist Pro and will be used to calculate changes in sugars purchased from target grocery stores. | Baseline (week 1), intervention (weeks 2-4), and post-test (week 5) | |
Primary | Nutritional Quality of Purchases | Nutritional quality of grocery purchases was created using indicators adapted from Fung 2008: fruit, vegetables, nuts/legumes, whole grains, low-fat dairy, sodium, red/processed meat, carbohydrates. Quintiles were calculated for each, using the number of items from a food group or sodium [mg] and carbohydrates [g] purchased that week. Resulting scores from 1-5 indicate whether participants were lower or higher on each indicator (red meat, sodium, carbohydrates reverse scored). The 8 scores were summed for a total nutritional quality score ranging from 8 to 40 (40=highest nutritional quality). | At post-test (week 5) | |
Primary | Nutritional Quality of Purchases | Nutritional quality of grocery purchases was created using indicators adapted from Fung 2008: fruit, vegetables, nuts/legumes, whole grains, low-fat dairy, sodium, red/processed meat, carbohydrates. Quintiles were calculated for each, using the number of items from a food group or sodium [mg] and carbohydrates [g] purchased that week. Resulting scores from 1-5 indicate whether participants were lower or higher on each indicator (red meat, sodium, carbohydrates reverse scored). The 8 scores were summed for a total nutritional quality score ranging from 8 to 40 (40=highest nutritional quality). | Weeks 1-5 (testing overall main effect of study group) | |
Primary | Change in Nutritional Quality of Purchases | Nutritional quality of grocery purchases was created using indicators adapted from Fung 2008: fruit, vegetables, nuts/legumes, whole grains, low-fat dairy, sodium, red/processed meat, carbohydrates. Quintiles were calculated for each, using the number of items from a food group or sodium [mg] and carbohydrates [g] purchased that week. Resulting scores from 1-5 indicate whether participants were lower or higher on each indicator (red meat, sodium, carbohydrates reverse scored). The 8 scores were summed for a total nutritional quality score ranging from 8 to 40 (40=highest nutritional quality) | Baseline (week 1), intervention (weeks 2-4), and post-test (week 5) | |
Secondary | Dollars Spent | Total dollars spent at the target grocery stores from submitted receipts | At post-test (week 5) | |
Secondary | Dollars Spent | Total dollars spent at the target grocery stores from submitted receipts | Weeks 1-5 (testing overall main effect of study group) | |
Secondary | Change in Dollars Spent | Changes in total dollars spent at the target grocery stores from submitted receipts | Baseline (week 1), intervention (weeks 2-4), and post-test (week 5) | |
Secondary | Nutritional Quality of Foods Consumed | Nutritional quality of grocery purchases was created from food frequency questionnaire data using indicators adapted from Fung 2008: fruit, vegetables, nuts/legumes, whole grains, low-fat dairy, sodium, red/processed meat, carbohydrates. Quintiles were calculated for each, using reports of the frequency that the food group or nutrient of interest was consumed over the past month. Resulting scores from 1-5 indicate whether participants were lower or higher on each indicator (red meat, sodium, carbohydrates reverse scored). The 8 scores were summed for a total nutritional quality score ranging from 8 to 40 (40=highest nutritional quality). | At post-test (week 5) |
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