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NCT Number: NCT06800794

Investigating Metabolic and Psychological Adaptations in a Clinical Trial

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.

Active, Not Recruiting

This study is active but is not currently recruiting participants.

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Key information

Age range

18 year–45 year

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

Primary location

Farber Hall G56

Buffalo, New York, 14221, United States

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Woman between the ages of 18-45.
  • Premenopausal.
  • Obese (BMI ≥ 30).
  • Diagnosed with prediabetes (HbA1c: 5.7%-6.4%).
  • Experiencing food insecurity (score of 2-6 on the six-item food insecurity questionnaire).
  • Income below 300% of the household federal poverty threshold.
  • Lives alone.

Exclusion criteria

  • Actively planning to become pregnant (e.g., individuals trying to conceive or undergoing fertility treatment, based on self-report).
  • Delivered a baby within the past 6 months (self-report).
  • Non-ambulatory (e.g., individuals unable to walk independently or requiring a wheelchair for mobility).
  • Intellectual impairment that would impact treatment adherence.
  • Unmanaged mood disorders, substance use disorders, personality disorders, or a history of eating disorders, including:
  • Generalized anxiety disorder.
  • Depression.
  • Alcohol dependence.
  • Schizophrenia.
  • Anorexia nervosa, bulimia, or binge eating disorder within the past 6 months.
  • Recent weight loss exceeding 5% of body weight within the past 6 months (self-report).
  • Food allergies to study-related foods, including dairy, soy, nuts, or gluten.
  • History of bariatric surgery or GLP-1 agonist use (self-report).
  • Inability to read or write in English (self-report).
  • Planned relocation out of the study area during the study timeframe (self-report).
  • Uncontrolled diabetes (HbA1c > 9%) or hypertension (blood pressure > 160/100 mmHg), based on self-report or screening visit measurements.

Treatment and study plan

Behavioral Skill Training

Behavioral

7 sessions including: Hunger and fullness, eating on a budget, traffic light eating plan, menu planning, creating alternatives to food, financial planning, and changing the environment.

Meal Provisioning

Other

3 meals a day consisting of low energy dense, nutrient rich, ready to eat, low GI, foods delivered to the participants' homes.

Primary outcomes

  1. Change in body weight

    Time frame: Through study completion, an average of 25 weeks

    measured in kgs using a weight scale.

  2. change in HBA1C

    Time frame: Through study completion, an average of 25 weeks.

    measured via a finger-prick blood sample analyzed using a point-of-care device

  3. Change in respiratory quotient

    Time frame: Through study completion, an average of 25 weeks.

    will be measured in morning fasting state using the Breezing Pro, an FDA approved device for portable metabolic measures

  4. change in TEF

    Time frame: Through study completion, an average of 25 weeks.

    will be measured in morning fasting state using the Breezing Pro, an FDA approved device for portable metabolic measures

  5. Change in delay discounting

    Time frame: Through study completion, an average of 25 weeks.

    will be measured using the adjusting amount delay discounting task that presents participants with choices between a fraction of the total delayed amount of money now or the full amount ($100 &/ $1000) at a future delayed time for five different periods from 30 days, 180 days, 365 days (1 year), 1095 days (3 years), 1825 days (5 years) (order randomized).

  6. Change in RRE

    Time frame: Through study completion, an average of 25 weeks.

    RRE will be assessed through a survey that will use participants' preferred snack foods that are classified as either hyperpalatable or healthy. Scores have no fixed minimum or maximum, as they are determined by the highest ratio completed before the participant stops working for the food reward. Higher scores indicate greater reinforcing efficacy and a stronger motivational drive for the food reward, which is considered a worse outcome in this context.

Secondary outcomes

  1. change in stress

    Time frame: Through study completion, an average of 25 weeks.

    measured using the Perceived Stress Scale. The Perceived Stress Scale is a validated 10-item questionnaire that measures the perception of stress over the past month. Scores range from 0 to 40, where higher scores indicate greater perceived stress and worse outcomes.

  2. change in physical activity

    Time frame: Through study completion, an average of 25 weeks.

    measured using a Fitbit activity monitor

Sponsors and collaborators

Lead sponsor

State University of New York at Buffalo

Other

Collaborators

  • National Center for Advancing Translational Sciences (NCATS)

Registry information

Official study title

Effect of Meal Timing and Dietary Changes on Metabolic and Behavioral Factors Involved in the Food Insecurity-Obesity Paradox

Acronym: IMPACT

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Jan 30, 2025
Registry last updated
Jan 14, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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