Biobehavioral Reward Responses Associated With Consumption of Nutritionally Diverse Ultra-Processed Foods

Sponsor
Drexel University (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05437809
Collaborator
(none)
50
1
53.9

Study Details

Study Description

Brief Summary

The changing food environment, with increasingly abundant ultra-processed food (UPF) options, may directly contribute to rising rates of obesity, though it is unknown which ingredients in UPF elevate their reinforcing nature in a way that may lead to overconsumption. The proposed study is the first to systematically examine differences in the rewarding characteristics of and physiological and metabolic responses to UPFs that are high in fat, refined carbohydrates (like sugar), or both. Understanding the biobehavioral underpinnings that enhance the reinforcing potential of ingredients in UPF (e.g., fat vs. refined carbohydrates) can inform novel intervention targets for the treatment of overeating and obesity.

Condition or Disease Intervention/Treatment Phase
  • Other: Intake of nutritionally diverse ultra-processed foods
N/A

Detailed Description

The abundance of ultra-processed foods (UPFs) in our environment has led to excessive calorie intake and been cited as perpetuating the obesity epidemic. UPFs do not exist in nature and are created to maximize palatability through the additions of fat, refined carbohydrates (RC), and/or sodium (e.g., chocolate, potato chips). Emerging research suggests UPFs may be reinforcing akin to rewarding substances like alcohol. However, empirical investigation of which ingredients in UPFs directly motivate overeating is in its nascent stages. This study will be the first to combine biological and behavioral methods used in addiction research with assessments of food reward, to delineate the mechanisms by which fat and RC drive UPF reinforcement and influence future consumption.

Individuals (n=50) with obesity will be recruited for the current study. Participants will attend four appointments (order randomized/counterbalanced) and will consume a snack consisting of 1) UPF high in fat + RC (UPF+FRC), 2) UPF high in fat (UPF+F), 3) UPF high in RC (UPF+RC), or 4) minimally processed foods (MPF). At each assessment, subjective experiences and metabolic responses will be assessed before and up to 120 minutes after consumption of each snack. An ad-libitum eating period for each food condition will follow to evaluate associations of metabolic/behavioral responses with subsequent intake. For five days after each appointment, participants will use ecological momentary assessment (EMA) to assess subjective experiences and real-world reported consumption of UPF+FRC, UPF+F, UPF+RC, and MPF.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
50 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Other
Official Title:
Biobehavioral Reward Responses Associated With Consumption of Nutritionally Diverse Ultra-Processed Foods
Anticipated Study Start Date :
Oct 1, 2022
Anticipated Primary Completion Date :
Jun 30, 2026
Anticipated Study Completion Date :
Mar 31, 2027

Arms and Interventions

Arm Intervention/Treatment
Other: Adults with obesity

All participants (n=50 adults with obesity) will complete each of the four food consumption appointments (order of the four appointments will be randomized/counterbalanced).

Other: Intake of nutritionally diverse ultra-processed foods
All participants will attend four food consumption assessment visits where, at each visit, they will be asked to consume a standardized snack portion of: 1) ultra-processed foods (UPFs) high in both fat and refined carbohydrates (UPF+FRC), 2) UPF high in fat (UPF+F), 3) UPF high in refined carbohydrates (white flour, sugar) (UPF+RC), or 4) minimally processed foods. The order of the four food consumption assessment visits will be randomized and counterbalanced across participants, who will each consume all the test snacks across the four appointments.

Outcome Measures

Primary Outcome Measures

  1. Subjective reward responses to food intake (in lab) [10 minutes before intake of test snack, during, and 30-, 60-, 90-, and 120 minutes after intake of the test snack.]

    Indicators of subjective reward (craving, palatability, hedonic hunger, and mood) will be assessed by participants' self-reports before, during, and after consumption of the test snack at each of the four food consumption appointments. Each facet of subjective reward will be assessed by 100-point visual analog scales ranging from 0-100.

  2. Subjective reward responses to food intake (EMA) [EMA surveys administered over 5 days following each food consumption assessment (20 total days of EMA data)]

    Indicators of subjective reward (craving, palatability, hedonic hunger, and mood) will be assessed by participants' self-reports in EMA surveys. Each facet of subjective reward will be assessed by 100-point visual analog scales ranging from 0-100.

  3. Ad libitum consumption [2 hours after test snack intake at each food consumption assessment.]

    Total number of calories consumed from the test snack food during a 15-minute eating period. Calories will calculated by measuring bowls containing the test snacks before and after participant consumption on a digital scale accurate to 0.01 grams. The difference in grams will be converted into the calories that the participant ate.

  4. Daily calorie intake (EMA) [EMA surveys administered over 5 days following each food consumption assessment (20 total days of EMA data)]

    Calorie intake will be derived from participants' self-reported food consumption in EMA surveys.

  5. Consumption of UPFs and MPFs (EMA) [EMA surveys administered over 5 days following each food consumption assessment (20 total days of EMA data)]

    Trained study staff will calculate the percentage of participants' daily calories from the four food categories (UPF+FRC, UPF+F, UPF+RC, MPF) based on participants' self-reported food consumption in EMA surveys.

Secondary Outcome Measures

  1. Changes in heart rate in response to food intake [10 minutes before intake of test snack, during, and 30-, 60-, 90-, and 120 minutes after intake of the test snack.]

    Manually measured by counting the radial pulse for 15 seconds (timed using a digital stopwatch).

  2. Salivation responses to food intake [10 minutes before intake of test snack, during, and 30-, 60-, 90-, and 120 minutes after intake of the test snack.]

    Participants will spit into a plastic cup for 1 minute and the weight of their saliva will be measured in grams using a digital food scale accurate to 0.01 grams.

  3. Magnitude of metabolic responses to food intake [10 minutes before intake of test snack, during, and 30-, 60-, 90-, and 120 minutes after intake of the test snack.]

    Serial blood draws will be conducted before, during, and after test snack consumption. Samples will be assayed for glucose, insulin, ghrelin, and leptin levels.

Other Outcome Measures

  1. Individual risk factors for enhanced ultra-processed food reward [Tasks administered at baseline assessment (prior to any food consumption appointments) or follow-up assessment (at least one week or up to 2 months after the last food consumption appointment)]

    Characteristics known to increase one's reward responsiveness to substances like alcohol will be assessed by behavioral tasks and evaluated as predictors of ultra-processed food reward (delay discounting task to assess impulsivity; Stroop task to assess cognitive functioning; relative reinforcing value task to assess reward value of various foods).

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 65 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • 18 to 65 years old

  • BMI ≥ 30 kg/m2

  • Endorse liking the test snack foods at a 6 on a 1-10 scale

  • Live in the greater Philadelphia area and are willing/able to participate in six in-person assessments

  • Can access and are willing/able to use a smartphone

  • Able to give consent

Exclusion Criteria:
  • Unable to fluently speak, write, and read English

  • BMI below 30 kg/m2

  • Self-report dietary allergies or aversions to the test snack foods

  • Current diagnosis of type 1 or 2 diabetes (HbA1c > 6.5; will be confirmed by blood test at baseline) or self-reported diagnosis of hypertension

  • Self-report a cardiovascular event (e.g., stroke, myocardial infarction) in the last 12 months

  • Self-report current use of medications that may influence the metabolic responses of interest or inhibit appetite (e.g., metformin, liraglutide)

  • Self-report a loss of ≥ 5% of their body weight in the last 6 months, as this may influence their food choices

  • Self-report severe symptoms of mood (Beck Depression Inventory score ≥ 29), anxiety, and any severity of thought disorders

  • Self-report severe binge eating disorder or full criteria bulimia nervosa

  • Self-report active substance-use disorders

  • Self-report current, active suicidal ideation, and/or a suicide attempt in the past year (will be referred to psychiatric treatment facilities in the greater Philadelphia area)

  • Self-report a history of bariatric surgery

  • Self-report current involvement in weight loss treatment or self-directed weight loss attempt

  • Women who are nursing, pregnant, or planning to become pregnant in the next 3 months

  • Does not have access or are not willing to use a smartphone

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Drexel University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Erica Schulte, Assistant Research Professor, Drexel University
ClinicalTrials.gov Identifier:
NCT05437809
Other Study ID Numbers:
  • K23DK129825
First Posted:
Jun 29, 2022
Last Update Posted:
Aug 4, 2022
Last Verified:
Aug 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Erica Schulte, Assistant Research Professor, Drexel University
Additional relevant MeSH terms:

Study Results

No Results Posted as of Aug 4, 2022