Evaluation of Methods for Measuring Food Reward and Food-related Behavior in Healthy Individuals

NCT03986619 | Completed DMC

• 1 other identifier: H-18026293_substudy
• Study Type: observational
• Target: 100
• Locations: 1 country
• Sites: 1

Brief Summary

Most of the decisions and actions affecting energy balance are driven by implicit and explicit motivational processes. In modern obesogenic environment where highly palatable and energy-dense foods are easily available, it is of great interest to increase the understanding of both implicit and explicit processes of food-related behavior. The aim of the present study is to examine whether biometric signatures in response to visual food stimuli during the already validated Leeds Food Preference Questionnaire (LFPQ) correlate with liking, wanting, food choice, or subsequent ad libitum food intake of those foods as assessed by the LFPQ and an ad libitum buffet meal.

Conditions

Healthy Participants

Keywords

Food preferences; Food reward

Outcome Measures

Primary Outcomes (1)

• Gaze duration bias (ratio)

  A measure of attention measured using eye tracking in response to looking at food pictures during the computerized Leeds Food Preference Questionnaire. Gaze duration bias is calculated as the average gaze duration (ms) to a specific food image relative to the average gaze duration to all images. A bias score ˃0.5 indicates maintained attention towards a food image, a bias score equal to 0.5 indicates no bias, and a bias score \<0.5 indicates maintained attention towards the other food images.

  0 minutes (fasting)

Secondary Outcomes (33)

• Attention

  0 minutes (fasting)

• Arousal

  0 minutes (fasting)

• Emotions

  0 minutes (fasting)

• Food choice

  0 minutes (fasting)

• Reaction time (ms)

  0 minutes (fasting)

Eligibility Criteria

• Age: 30 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Normal-weight individuals

You may qualify if:

• Age: from ≥30 to ≤70 years of age
• BMI: from 18.5 to 24.9 kg/m2

You may not qualify if:

• Unable to understand the informed consent and the study procedures;
• Allergic to the food items included in the taste test
• Self-reported history of an eating disorder in the past three years

Sponsors & Collaborators

• Steno Diabetes Center Copenhagen: lead
• University of Copenhagen: collaborator
• University of Leeds: collaborator
• Aalborg University Hospital: collaborator
• IMotions A/S: collaborator

Study Sites (1)

Steno Diabetes Center Copenhagen

Gentofte Municipality, DK-2810, Denmark

Location

Related Publications (1)

• Pedersen H, Diaz LJ, Clemmensen KKB, Jensen MM, Jorgensen ME, Finlayson G, Quist JS, Vistisen D, Faerch K. Predicting Food Intake from Food Reward and Biometric Responses to Food Cues in Adults with Normal Weight Using Machine Learning. J Nutr. 2022 Jun 9;152(6):1574-1581. doi: 10.1093/jn/nxac053.

  PMID: 35325189 DERIVED

MeSH Terms

Conditions

Food Preferences

Condition Hierarchy (Ancestors)

Feeding Behavior; Behavior

Study Officials

• Kristine Færch, PhD

  Steno Diabetes Center Copenhagen

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 6, 2019
• First Posted: June 14, 2019
• Study Start: October 16, 2018
• Primary Completion: August 29, 2019
• Study Completion: August 29, 2019
• Last Updated: September 4, 2019

Record last verified: 2019-09

Locations

DK (1)