Decision-Making and the Relationship to Food Intake in Kids
DMK
Understanding Decision-Making and the Relationship to Food Intake in Children 7 to 11 Years Old
1 other identifier
observational
142
1 country
1
Brief Summary
The purpose of this 18-month project is to investigate how decision-making influences food choice and consumption in children ages 7 to 11 years old. Although several studies suggest that the ability to make good decisions relates to eating behaviors, no studies have looked at how food reward influences the decision-making process to impact actual food intake. This proposal will answer these questions and bridge this gap in knowledge, which could lead to the development of more effective interventions for childhood obesity. To accomplish this, the investigators have assembled a diverse team with expertise in food intake, nutrition, and decision sciences. First, the investigators will establish if there are differences in decision-making between children varying in weight status. Second, the investigators will determine if performance on behavioral decision-making tasks relates to food consumption in the laboratory. Third, the investigators will examine response functional magnetic resonance imaging (fMRI) blood-oxygen-level-dependent (BOLD) response to various rewards (i.e. food and money) and determine if this is influenced by child weight status. Fourth, the investigators will examine differences in fMRI BOLD at rest in decision-making regions are correlated with food intake and weight status. Eighty-two children will participate in our study. The long-term goal of this project is to investigate if there are differences in brain regions corresponding to these behaviors in overweight children and if these differences relate to eating behaviors in this population. Children will undergo fMRI while playing a reward task as well as consume meals in our laboratory. Decision-making will also be assessed by having children complete various behavioral measurements of reward and inhibitory control.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Apr 2015
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2015
CompletedFirst Submitted
Initial submission to the registry
June 29, 2016
CompletedFirst Posted
Study publicly available on registry
August 4, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2017
CompletedJanuary 11, 2021
January 1, 2021
1.5 years
June 29, 2016
January 7, 2021
Conditions
Outcome Measures
Primary Outcomes (6)
Functional magnetic resonance imaging (fMRI), blood-oxygen-level-dependent (BOLD) response to various reward types (food, money, no reward).
Regions of interest BOLD analysis of an fMRI card-guessing task for various reward types
Collected at fMRI scan at week 4
Functional magnetic resonance imaging (fMRI), blood-oxygen-level-dependent (BOLD) response at rest (resting-state fMRI)
Regions of interest BOLD analysis of resting-state fMRI to examine differences in brain regions of interest at rest
Collected at fMRI scan at week 4
Behavioral inhibitory control task
Measured by performance on a go/nogo task
Collected at either week 1-3 (randomized)
Behavioral reward inhibitory control task
Measured by performance on a go/nogo task with a reward incentive
Collected after the behavioral inhibitory control task (same visit), which is either week 1-3 (randomized)
Behavioral risk-taking and reward task
Measured by performance on the hungry donkey task
Collected at either week 1-3 (randomized)
Behavioral dietary self-control assessment
Measured by performance on a dietary self-control task
Collected at either week 1-3 (randomized)
Secondary Outcomes (5)
Energy intake at baseline
Collected at either week 1-3 (randomized)
Energy intake at a buffet meal
Collected at either week 1-3 (randomized)
Energy intake after a meal preload
Collected at either week 1-3 (randomized) following the baseline meal
Functional magnetic resonance imaging (fMRI), blood-oxygen-level-dependent (BOLD) response to various reward types (food, money, no reward).
Collected at week 4
Functional magnetic resonance imaging (fMRI), blood-oxygen-level-dependent (BOLD) response at baseline
Collected at week 4
Other Outcomes (22)
Liking of foods
Collected after each meal at multiple time points during weeks 1-4
Fullness feelings
Collected at multiple time points during weeks 1-4
Pubertal Development
Collected at week 1
- +19 more other outcomes
Eligibility Criteria
Children aged 7-11 years old.
You may qualify if:
- Right-handed
- English as native language
- Reading at/above grade level
- Not Claustrophobic
- Generally Healthy
You may not qualify if:
- Left-handedness
- Metal in or on body that cannot be removed
- Claustrophobia
- Medication usage that may alter brain activity or blood flow
- Medical disorder that may impact comfort of safety in MRI scanner
- Food Allergies
- Dietary Restrictions
- Learning Disabilities
- Psychiatric Disorders
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Pennsylvania State University
University Park, Pennsylvania, 16802, United States
Related Publications (2)
Adise S, White CN, Roberts NJ, Geier CF, Keller KL. Children's inhibitory control abilities in the presence of rewards are related to weight status and eating in the absence of hunger. Appetite. 2021 Dec 1;167:105610. doi: 10.1016/j.appet.2021.105610. Epub 2021 Jul 26.
PMID: 34324909DERIVEDAdise S, Geier CF, Roberts NJ, White CN, Keller KL. Is brain response to food rewards related to overeating? A test of the reward surfeit model of overeating in children. Appetite. 2018 Sep 1;128:167-179. doi: 10.1016/j.appet.2018.06.014. Epub 2018 Jun 8.
PMID: 29890186DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shana Adise, B.S.
The Pennsylvania State University
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor, Department of Nutritional Sciences and Food Science
Study Record Dates
First Submitted
June 29, 2016
First Posted
August 4, 2016
Study Start
April 1, 2015
Primary Completion
October 1, 2016
Study Completion
December 1, 2017
Last Updated
January 11, 2021
Record last verified: 2021-01
Data Sharing
- IPD Sharing
- Will not share