- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03341247
Brain Mechanisms of Overeating in Children (RO1)
Study Overview
Status
Conditions
Detailed Description
In aim one, the investigators will use functional magnetic resonance imaging to characterize the brain regions which are activated in response to food portion size and compare these regions between high- and low-risk children.
Second, the investigators will determine the relationship between brain response to visual portion size cues and measured food intake when portions are increased in the laboratory.
Third, the investigators will determine the relationship between brain response to large portions and other validated measures of overeating, including satiety responsiveness and the amount of calories children consumed from high calorie snacks when they are not hungry (i.e., eating in the absence of hunger).
Fourth, the investigators will conduct follow-up visits one year after baseline to determine the extent to which baseline brain and behavioral responses to portion size predict gains in adiposity assessed by anthropometrics (body weight, height, and dual-energy x-ray absorptiometry).
Secondary study endpoints include the relationship between child behavioral and brain response to food portion size and physical activity assessed by accelerometry and questionnaires, inhibitory control assessed by a stop signal test, reward-related design making assessed by a computer task, working memory assessed by an N-back task loss of control eating, child sleep, child working memory, child meal microstructure assessed by observational meal coding, parent rated eating behaviors, and parental feeding practices.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Pennsylvania
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University Park, Pennsylvania, United States, 16802
- The Pennsylvania State University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Child is in good health based on parental self-report
- Child has no learning disabilities (e.g., ADHD)
- Child has no diagnosed psychological or medical conditions/devices, or metal in/on the body that may impact comfort or safety in the fMRI (e.g., anxiety, insulin pump)
- Child is not on any medications known to influence body weight, taste, food intake, behavior, or blood flow
- Child is not claustrophobic
- Child is between the ages of 7-8 years-old at enrollment
- Child's immediate family members have not been diagnosed with a psychological disorder, including depression, anxiety, schizophrenia, etc.
- Child's biological mother and biological father have a body mass index either between 18.5 - 25 kg/m2 (low-risk group) or biological mother has a body mass index greater than or equal to 30 kg/m2 and biological father has a body mass index greater than or equal to 25 kg/m2 (high-risk group)
- Child's parent participating in study must be available to attend visits with child
Exclusion Criteria:
- Child is not in good health based on parent self-report
- Child has any learning disabilities (e.g., ADHD)
- Child has any psychological or medical conditions/devices that may impact comfort in the fMRI (e.g., anxiety, insulin pump)
- Child is taking any medications known to influence body weight, taste, food intake, behavior, or blood flow
- Child is claustrophobic
- Child is less than 7 or greater than 8 years-old at enrollment
- Child has any immediate family members diagnosed with a psychological disorder, including depression, anxiety, schizophrenia, etc.
- Child's biological mother or biological father's body mass index do not fit into the parameters for either group (both biological parents < 18.5 for low-risk group or biological mother is < 30 and biological father is < 25 for high-risk group)
- Child's parent participating in study is not available to attend visits with child
- Child is blue/green colorblind
- Child is not fluent in the English language
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Low-risk of obesity
Children whose biological mother and biological father have a body mass index between 18.5 - 25 kg/m2.
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High-risk of obesity
Children whose biological mother has a body mass index greater than or equal to 30 kg/m2 and whose biological father have a body mass index greater than or equal to 25 kg/m2.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Brain Responses to Portion Size
Time Frame: baseline
|
The investigators will use functional magnetic resonance imaging to characterize the brain regions which are activated in response to food portion size and compare these regions between high- and low-risk children.
|
baseline
|
Food Intake Relationship to Portion Size
Time Frame: baseline
|
The investigators will determine the relationship between brain response to visual portion size cues and measured food intake when portions are increased in laboratory meals.
|
baseline
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The Change in DXA analysis of child adiposity after 1 year
Time Frame: From baseline visit to 1 year later
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The investigators will determine the extent to which baseline brain and behavioral responses to portion size predict gains in adiposity assessed by anthropometrics (body weight, height, and dual-energy x-ray absorptiometry).
Body weight (kg) and Height (m) will be aggregated to report BMI in kg/m^2.
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From baseline visit to 1 year later
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Brain Response Relationships
Time Frame: baseline
|
The investigators will determine the relationship between brain response to large portions and other validated measures of overeating, including satiety responsiveness and the amount of calories children consumed from high calorie snacks when they are not hungry (i.e., eating in the absence of hunger).
|
baseline
|
Inhibitory control assessed by a Stop Signal test
Time Frame: baseline
|
An additional endpoint includes the relationship between child behavioral and brain response to food portion size and Inhibitory control assessed by a Stop Signal test.
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baseline
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Reward-related design
Time Frame: baseline and 1 year later
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Reward-related design making assessed by a computer task.
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baseline and 1 year later
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Working memory
Time Frame: baseline and 1 year later
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Working memory assessed by an N-back task.
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baseline and 1 year later
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Meal microstructure
Time Frame: baseline and 1 year later
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Meal microstructure assessed by observational meal coding.
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baseline and 1 year later
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Eating in the absence of hunger
Time Frame: baseline and 1 year later
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Assessing child eating in the absence of hunger by buffet meal intake.
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baseline and 1 year later
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Physical Activity
Time Frame: baseline
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An additional endpoint include the relationship between child behavioral and brain response to food portion size and physical activity assessed by accelerometry.
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baseline
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Loss of control eating
Time Frame: baseline
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An additional endpoint include the relationship between child behavioral and brain response to food portion size and Loss of control eating.
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baseline
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Parent-described eating behaviors
Time Frame: baseline
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An additional endpoint includes the relationship between child behavioral and brain response to food portion size and Parent-described eating behaviors.
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baseline
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Kathleen L Keller, Ph.D., Penn State University
Publications and helpful links
General Publications
- Burger KS, Stice E. Variability in reward responsivity and obesity: evidence from brain imaging studies. Curr Drug Abuse Rev. 2011 Sep;4(3):182-9. doi: 10.2174/1874473711104030182.
- Bruce AS, Martin LE, Savage CR. Neural correlates of pediatric obesity. Prev Med. 2011 Jun;52 Suppl 1:S29-35. doi: 10.1016/j.ypmed.2011.01.018. Epub 2011 Feb 1.
- De Silva A, Salem V, Matthews PM, Dhillo WS. The use of functional MRI to study appetite control in the CNS. Exp Diabetes Res. 2012;2012:764017. doi: 10.1155/2012/764017. Epub 2012 May 8.
- French SA, Mitchell NR, Wolfson J, Harnack LJ, Jeffery RW, Gerlach AF, Blundell JE, Pentel PR. Portion size effects on weight gain in a free living setting. Obesity (Silver Spring). 2014 Jun;22(6):1400-5. doi: 10.1002/oby.20720. Epub 2014 Feb 19.
- Grammer JK, Carrasco M, Gehring WJ, Morrison FJ. Age-related changes in error processing in young children: a school-based investigation. Dev Cogn Neurosci. 2014 Jul;9:93-105. doi: 10.1016/j.dcn.2014.02.001. Epub 2014 Feb 11.
- Morrell, J. (1999). The Infant Sleep Questionnaire: A new tool to assess infant sleep problems for clinical and research purposes. Child Psychology and Psychiatry Review 4, 20-26.
- Tetley A, Brunstrom J, Griffiths P. Individual differences in food-cue reactivity. The role of BMI and everyday portion-size selections. Appetite. 2009 Jun;52(3):614-620. doi: 10.1016/j.appet.2009.02.005. Epub 2009 Feb 25.
- Tanner, J.M. (1962). Growth at adolescence.(Oxford: Blackwell Scientific Publications).
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- RO1 Study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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