NCT03986619|CompletedDMC
Evaluation of Methods for Measuring Food Reward and Food-related Behavior in Healthy Individuals
PRESET
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PRESET
Sponsor study identifier
observational
100
1 country
1
Study Start
October 16, 2018
Actual (reported)Primary Completion
August 29, 2019
Actual (reported)Study Completion
August 29, 2019
Actual (reported)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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
August 29, 2019
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
October 16, 2018
Actual (reported)June 6, 2019
Actual (reported)June 14, 2019
Actual (reported)August 29, 2019
Actual (reported)August 29, 2019
Actual (reported)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)
Attention
0 minutes (fasting)
Arousal
0 minutes (fasting)
Emotions
0 minutes (fasting)
Food choice
0 minutes (fasting)
Reaction time (ms)
0 minutes (fasting)
Normal-weight individuals
Steno Diabetes Center Copenhagen
Gentofte Municipality, DK-2810, Denmark
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.
Kristine Færch, PhD
Steno Diabetes Center Copenhagen
100 participants (actual enrollment reported by the registry).
First Submitted
June 6, 2019
First Posted
June 14, 2019
Study Start
October 16, 2018
Actual (reported)Influence of Propranolol on Conditioned Pain Modulation
Contact the study team to confirm eligibility.
Primary Completion
August 29, 2019
Actual (reported)Study Completion
August 29, 2019
Actual (reported)Last Updated
September 4, 2019
Record last verified: 2019-09
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Source: ClinicalTrials.gov.
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