Obesity Clinical Trial
Official title:
Foods Within a Meal and Food Liking Study
For weight loss to occur, energy intake needs to be reduced to incur an energy deficit. One dietary strategy that may facilitate weight loss is consuming a diet low in dietary energy density (ED). It is hypothesized that a diet low in ED, which can be achieved by a high intake of low-ED foods, low intake of high-ED foods, or a combination of the two, will allow a greater amount of volume of food to be consumed relative to energy consumed, which can assist with reducing energy intake. To understand how best to lower the ED of the diet, it is important to understand the relationship between low-ED and high-ED foods. Behavioral economics is a framework that provides a foundation to understand that eating behaviors can be substitutes for each other. Substitute eating behaviors are two behaviors that change in the opposite direction of each other (i.e. one behavior increases as the other behavior decreases). If low-ED and high-ED foods are substitutes for each other, in situations in which low-ED food intake increases, high-ED food should automatically decrease, and vice versa. If they are not substitutes, when low-ED food intake increases, high-ED food intake should remain unchanged, and when high-ED food intake decreases, low-ED food intake should remain unchanged. When low-Ed and high-ED foods are not substitutes for each other, purposeful change in intake for both low- and high-ED foods need to occur to best lower dietary ED. Thus, the purpose of this study is to investigate if low-ED foods and high-ED foods substitute for each other. Healthy weight adults will be served a meal over 4 sessions, with each meal containing 5 different food items. The foods in the meal will vary in ED: low-ED = 0 to 1.0 kcal/kg; medium-ED = 1.1 to 2.9 kcal/kg; high-ED = > 3.0 kcal/g. For the 4 sessions, the meals will include: 1) 3 low-ED foods, 0 medium-ED foods, 2 high-ED foods; 2) 3 low-ED foods, 1 medium-ED food, 1 high-ED food; 3) 1 low-ED food, 2-medium ED foods, 2 high-ED foods; and 4) 1 low-ED food, 3 medium-ED foods, and 1 high-ED food.
Status | Recruiting |
Enrollment | 45 |
Est. completion date | December 2024 |
Est. primary completion date | December 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 35 Years |
Eligibility | Inclusion Criteria: - age between 18 and 35 years; - body mass index (BMI) 18.5 to 24.9 kg/m2; - unrestrained eater (=12 on Three Factor Eating Questionnaire (TFEQ); - chicken or tomato soup, chocolate sugar-free pudding, grapes, blueberry yogurt, macaroni and cheese, vanilla ice cream, pretzels, and honey graham snacks (rate all items = 50mm on a visual analogue scale (VAS); - report regularly eating before 10 am; and - can complete all sessions within 8 weeks of the screening session, will be eligible for the study. Exclusion Criteria: - report binge eating; - report a medical condition that influences eating; - report allergies to foods used in the investigation; - currently smoke; - report dietary restrictions; - report taking a medication that affects appetite; - report being pregnant or breast-feeding; - report being an athlete in training. |
Country | Name | City | State |
---|---|---|---|
United States | University of Tennessee, Knoxville | Knoxville | Tennessee |
Lead Sponsor | Collaborator |
---|---|
The University of Tennessee, Knoxville |
United States,
Epstein, L.H.; Saelens, B.E. Behavioral Economics of Obesity: Food Intake and Energy Expenditure. In Reframing Health Behavior Change with Behavioral Economics; Bickel, W.K., Vuchinich, R.E., Eds.; Lawrence Associate, Inc.: Mahwah, NJ, USA, 2000; pp. 293-311.
Just, D.R.; Mancino, L.; Wansink, B. Could Behavioral Economics Help Improve Diet Quality for Nutrition Assistance Program Participants? Economic Research Report No. ERR-43; U.S. Department of Agriculture: Washington, DC, USA, 2007.
Madden, G.J. A Behavioral Economics Primer. In Reframing Health Behavior Change with Behavioral Economics; Bickel, W.K., Vuchinich, R.E., Eds.; Lawrence Associate, Inc.: Mahwah, NJ, USA, 2000; pp. 3-26.
Rolls BJ, Drewnowski A, Ledikwe JH. Changing the energy density of the diet as a strategy for weight management. J Am Diet Assoc. 2005 May;105(5 Suppl 1):S98-103. doi: 10.1016/j.jada.2005.02.033. — View Citation
Rolls BJ. The relationship between dietary energy density and energy intake. Physiol Behav. 2009 Jul 14;97(5):609-15. doi: 10.1016/j.physbeh.2009.03.011. Epub 2009 Mar 20. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Meal Session 1 Consumption | Energy intake will be calculated based upon grams consumed, manufacturer labels, and Nutrition Data System for Research (NDSR). | After 30 minute meal | |
Primary | Meal Session 2 Consumption | Energy intake will be calculated based upon grams consumed, manufacturer labels, and Nutrition Data System for Research (NDSR). | After 30 minute meal | |
Primary | Meal Session 3 Consumption | Energy intake will be calculated based upon grams consumed, manufacturer labels, and Nutrition Data System for Research (NDSR). | After 30 minute meal | |
Primary | Meal Session 4 Consumption | Energy intake will be calculated based upon grams consumed, manufacturer labels, and Nutrition Data System for Research (NDSR). | After 30 minute meal |
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