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Brain Mechanisms of Overeating in Children

Brain Mechanisms of Overeating in Children

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03341247
Acronym
RO1
Enrollment
254
Registered
2017-11-14
Start date
2018-01-31
Completion date
2023-06-20
Last updated
2024-01-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Decision Making, fMRI, Inhibition, Pediatric Obesity

Keywords

Obesity, Portion Size Effect, fMRI, Functional Magnetic Resonance Imaging, Inhibition, Decision Making, Satiety Responsiveness, Anthropometrics, DXA, Reward Processing, Working Memory, Meal microstructure

Brief summary

The proposed research will follow healthy weight children who vary by family risk for obesity to identify the neurobiological and appetitive traits that are implicated in overeating and weight gain during the critical pre-adolescent period. The investigator's central hypothesis is that increased intake from large portions of energy dense foods is due in part to reduced activity in brain regions implicated in inhibitory control and decision making, combined with increased activity in reward processing pathways. To test this hypothesis, the investigators will recruit 120 healthy weight children, aged 7-8 years, at two levels of obesity risk (i.e., 60 high-risk and 60 low-risk) based on parent weight status. This will result in 240 participants: 120 children and their parents.

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.

Interventions

None listed

Sponsors

Penn State University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
7 Years to 8 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Brain Responses to Portion SizebaselineThe 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.
The Change in DXA analysis of child adiposity after 1 yearFrom baseline visit to 1 year laterThe 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.
Food Intake Relationship to Portion SizebaselineThe investigators will determine the relationship between brain response to visual portion size cues and measured food intake when portions are increased in laboratory meals.

Secondary

MeasureTime frameDescription
Meal microstructurebaseline and 1 year laterMeal microstructure assessed by observational meal coding.
Working memorybaseline and 1 year laterWorking memory assessed by an N-back task.
Eating in the absence of hungerbaseline and 1 year laterAssessing child eating in the absence of hunger by buffet meal intake.
Reward-related designbaseline and 1 year laterReward-related design making assessed by a computer task.
Brain Response RelationshipsbaselineThe 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).
Inhibitory control assessed by a Stop Signal testbaselineAn additional endpoint includes the relationship between child behavioral and brain response to food portion size and Inhibitory control assessed by a Stop Signal test.

Other

MeasureTime frameDescription
Parent-described eating behaviorsbaselineAn additional endpoint includes the relationship between child behavioral and brain response to food portion size and Parent-described eating behaviors.
Loss of control eatingbaselineAn additional endpoint include the relationship between child behavioral and brain response to food portion size and Loss of control eating.
Physical ActivitybaselineAn additional endpoint include the relationship between child behavioral and brain response to food portion size and physical activity assessed by accelerometry.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 8, 2026