State University of New York at Buffalo
Leonard Epstein
This study aims to explore how food insecurity, a lack of consistent access to enough food, may lead to changes in the body that make it harder to lose weight. The investigators are testing whether providing women experiencing food insecurity with a stable, healthy, and personalized meal plan can improve their metabolism and reduce their motivation to eat unhealthy foods. The hypothesis is that addressing food insecurity with a predictable diet can lower a person's respiratory quotient (a measure of how the body uses energy), promote fat burning, and improve overall health. This research will improve the understanding for how food insecurity contributes to obesity and may lead to better solutions for managing weight in individuals facing these challenges.
Obesity and Type 2 Diabetes
Behavioral Skill Training
Meal Provisioning
NA
Women who experience food insecurity have unpredictable access to food and often miss meals and go hungry, but paradoxically are at a 50% greater risk for developing obesity than women who are food secure. This is due in part to metabolic and behavioral factors involved in food insecurity. Research suggests unpredictable access to food is associated with: 1) a high respiratory quotient (RQ) indicative of substrate oxidation that favors storage of fat and burning of carbohydrates; 2) an increase in fuel efficiency and a reduced thermic effect of food (TEF); 3) higher relative reinforcing efficacy of food (RREFOOD), due in part to periodic food deprivation that results from unpredictable access to food and being hungry, and 4) a short temporal window that involves making decisions that focus on meeting immediate versus long-term goals, as assessed by delay discounting (DD). While people with food insecurity and obesity should modify their diet, an RQ that favors storage of fat coupled with a reduced TEF, high RREFOOD and high DD may compromise the effects of traditional dietary approaches to weight loss. The goal of this pilot study is to examine the effects of providing a personalized, stable, predictable, low carbohydrate, low glycemic index, high protein, low energy dense diet on changes in metabolic and behavioral factors that characterize low-income women with food insecurity who have obesity, using a novel stepped wedge design. This work extends our research on behavioral and metabolic factors involved in food insecurity, and will provide strong pilot data for a randomized, controlled trial of a novel dietary approach that target factors involved in food insecurity and obesity that can improve weight control and reduce cardiometabolic risk factors. The investigators expect to screen at least 60 women, with an estimated screen failure rate of 80%. A goal for this pilot project is to provide effect sizes for future studies. The sample size was determined based on feasibility constraints, with the understanding that these results will serve as pilot data for a larger, fully powered randomized controlled trial.
| Study Type : | INTERVENTIONAL |
| Estimated Enrollment : | 12 participants |
| Masking : | SINGLE |
| Masking Description : | The research assistants who are performing data collection will be blind to what stage of the experiment participants are in. However, the counselor who performs behavioral skills training will not be blind. |
| Primary Purpose : | TREATMENT |
| Official Title : | Effect of Meal Timing and Dietary Changes on Metabolic and Behavioral Factors Involved in the Food Insecurity-Obesity Paradox |
| Actual Study Start Date : | 2025-05-15 |
| Estimated Primary Completion Date : | 2025-11-15 |
| Estimated Study Completion Date : | 2026-02-15 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | 18 Years to 45 Years |
| Sexes Eligible for Study: | FEMALE |
| Accepts Healthy Volunteers: |
Want to participate in this study, select a site at your convenience, send yourself email to get contact details and prescreening steps.
Not yet recruiting
Farber Hall G56
Buffalo, New York, United States, 14221