ObesityPACENCT07266506
Development of an Eating Behavior Risk Score
A study testing Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological Measures in people with Obesity and Childhood, run by Penn State University at 1 site in United States.
Trial summary
This study will explore how children's eating behaviors are connected to brain activity and body fat levels. Researchers are especially interested in a behavior pattern called the PACE phenotype, which includes how much children eat when offered large portions, how quickly they eat, their appetite traits, and their… Read more about this study
- Who is it for?
- Ages 7 to 9 yearsHealthy volunteers can take part
- What is being tested?
- Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological Measures
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 420 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Jul 2026to 30 Jun 2032
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 7 to 9 years
- All sexes
- Healthy volunteers accepted
- Child
Who may be able to join
- Children :
- Children must be of good health (with the exception of obesity being allowed) based on parental self-report.
- Children should have no learning disabilities or developmental delays (e.g., ADHD, Autism, dyslexia)
- Children should speak English fluently.
- Children should not be on any medications known to influence body weight, taste, food intake, behavior, or blood flow, not be claustrophobic.
- Children should between the ages of 7-9 years-old at enrollment.
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- Children must have a BMI-for-age % < 85 or ≥ 95 to be enrolled.
- The biological mother must have a BMI between 18.5 - 25.0 kg/m2 or a BMI ≥ 30.0 kg/m2. The parent primarily in charge of feeding must be able to accompany children to the visits.
- Parents :
- The biological mother must have a BMI between 18.5 - 25.0 kg/m2 or a BMI ≥ 30.0 kg/m2. The parent primarily in charge of feeding must be able to accompany children to the visits.
- The parent who has the most knowledge of the child's eating behavior, media access, sleep and behavior must be available to attend the visits with their child. This would be decided among the parents.
Who cannot join
- Children :
- They are not within the age requirements (< 7 years-old or > 9 years-old) at baseline.
- They are taking cold or allergy medication, or other medications known to influence cognitive function, taste, appetite, or blood flow.
- They are red/green colorblind.
- They do not speak English fluently.
- They report being claustrophobic, or if they have any of the following: a learning disability, ADD/ADHD, language delays, autism, dyslexia, a pre-existing medical condition such as type I or type II diabetes, rheumatoid arthritis, Cushing's syndrome, Down's syndrome, food allergies, severe lactose intolerance, Prader-Willi syndrome, HIV, cancer, renal failure, or cerebral palsy.
Show all 13Show fewer
- They have tattoos, permanent makeup, dental ware, pacemakers, or metal implants that would preclude safe completion of the MRI.
- They have received an X-ray in the previous month.
- Their BMI-for-age percentile is between 85-95th
- Parents :
- The biological mother has a body mass index < 18.5 kg/m2 or between 25-29.9 kg/m2.
- The primary parent in charge of making feeding decisions is unable to attend the study visits.
- The family reports plans to move away from the area in the next year.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
Metabolic Kitchen and Children's Eating Behavior Lab
State College, Pennsylvania, 16802
Kathleen L Keller, Ph.D
About this study
This study will explore how children's eating behaviors are connected to brain activity and body fat levels. Researchers are especially interested in a behavior pattern called the PACE phenotype, which includes how much children eat when offered large portions, how quickly they eat, their appetite traits, and their ability to control eating. The goal is to better understand why some children are more likely to gain weight than others.
The study will include children between the ages of 7 and 9 and will follow them for one year. Researchers will use brain scans, lab-based meal observations, and questionnaires to study how children respond to food and how their eating patterns relate to body fat at the start of the study and one year later. The study will also look at how family background, parenting, and other factors might protect some children from gaining excess weight even if they show risky eating behaviors. Results may help identify which children are most at risk for obesity and guide future strategies for prevention.
Read the detailed description
This is a one-year observational study designed to better understand how certain eating behaviors in children relate to brain function and weight gain over time. These behaviors will be assessed using a combination of laboratory meal tasks, caregiver questionnaires, and behavioral coding. Children will be invited to six research visits-four at the beginning of the study and two 12 months later-during which they will participate in structured meals where portion sizes are adjusted, complete computer-based and paper assessments, and undergo brain imaging while viewing pictures of food. Body composition will be measured at both timepoints using a DXA scan. In addition, researchers will collect information on children's sleep, physical activity, executive function, dietary intake, and interoceptive awareness. Parents will be asked to complete surveys about their family's socioeconomic background, food security, feeding practices, and their child's behavior, temperament, and development. One of the study's goals is to examine how brain regions involved in appetite regulation and self-control respond to food cues in children with different PACE scores. Another goal is to determine whether children with higher PACE scores tend to have more body fat and whether those scores predict changes in body fat over one year. The study will also explore whether children from families with higher or lower socioeconomic status show different patterns of risk. Finally, researchers will use a machine learning approach to identify children who seem resilient to weight gain, despite having high-risk eating patterns, and to better understand what family or individual characteristics might explain that resilience.
- Being tested
- Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological Measures
- Keywords
- Obesity, Eating Behaviors, Appetite Regulation, Functional magnetic resonance imaging, Food-cue reactivity
- Medical subject headings
- Obesity, Feeding Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological MeasuresBehavioural
This study does not involve an active intervention. The exposures of interest include the children's eating behaviors as measured by the PACE phenotype score, which encompasses portion size responsiveness, appetite traits, loss of control eating, and eating rate. Brain responses to food cues assessed by fMRI, body composition measured by DXA, and family socioeconomic status will also be evaluated as key exposures. These measures will be collected at baseline and at 12-month follow-up to examine associations with adiposity and behavioral outcomes.
| Study group | Role | What they receive |
|---|---|---|
| Children in PACE Phenotype Study | Experimental | A total of 210 child-parent dyads (420 participants total) will be followed for 12 months to investigate the neurobiological and behavioral aspects of the PACE eating phenotype and its relationship to adiposity in children. Children will be 7 to 9 years old, with a body mass index (BMI)-for-age percentile either below the 85th or at or above the 95th percentile. The biological mother will have a BMI categorized as either normal weight (18.5-25.0 kg/m²) or obese (≥30.0 kg/m²). The study will assess brain responses to food cues, eating behaviors, and body fat using DXA scans, along with family socioeconomic and feeding factors that may influence weight gain trajectories. Receives: Behavioral: Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological Measures |
What is being measured
The primary outcome is the main question the study is designed to answer.
fMRI Neural Response to Food Portion Size Images
Functional magnetic resonance imaging (fMRI) will be used to measure brain activation in response to images of palatable, energy-dense food portions of varying sizes. Activation will be assessed in brain regions involved in visceral interoception (e.g., insula, cerebellum) and self-regulation (e.g., dorsolateral prefrontal cortex). These neural responses will be correlated with children's PACE phenotype scores to explore neurobiological underpinnings of eating behaviors.
Measured: Baseline
PACE (Portion Size Susceptibility, Appetite Awareness, Loss of Control Eating, and Eating Speed) Phenotype Score
The PACE score will be calculated as a composite measure including: 1) children's food intake during two laboratory meals with varying portion sizes, 2) parent-reported appetite traits via the Children's Eating Behavior Questionnaire, 3) loss of control eating measured with the Pediatric Eating Disorder Screener, and 4) eating rate quantified through video-recorded meals and behavioral coding of bite rate and eating speed. This score reflects obesogenic eating phenotypes.
Measured: Baseline and 12-month follow-up
Child Adiposity
Child body fat percentage and adiposity will be measured using DXA scans, a validated imaging technique providing precise assessment of body composition. This measure will serve as the primary dependent variable to evaluate associations with PACE phenotype and changes over time.
Measured: Baseline and 12-month follow-up
Family Socioeconomic Status (SES)
Family SES will be assessed via parent self-report questionnaires, including family income levels and parental educational attainment. SES will be analyzed as a moderator of the relationship between PACE scores and child adiposity to explore social determinants of obesity risk.
Measured: Baseline
PACE Phenotype Score Consistency Over Time
PACE scores obtained at baseline and 12-month follow-up will be compared to evaluate the stability and trajectory of obesogenic eating behaviors in children over one year.
Measured: Baseline and 12-month follow-up
Secondary outcomes (25)
Parent-reported race and ethnicity
Parent-reported information on the child's race and ethnicity collected via standardized questionnaire to capture demographic diversity and potential confounding factors.
Measured: Baseline
Parent-reported socioeconomic status
Highest level of education completed by parents, self-reported, to help understand socioeconomic context and potential impact on child health and behavior.
Measured: Baseline
Parent-reported educational attainment
Highest level of education completed by parents, self-reported, to help understand socioeconomic context and potential impact on child health and behavior.
Measured: Baseline
Food security status
Parent-reported assessment of food security in the household using a validated food security questionnaire, to examine potential impact on child eating behaviors and adiposity.
Measured: Baseline
Rurality of family home
Determined by family home zip code to classify rural versus urban residency, assessing environmental influences on child health and behavior.
Measured: Baseline
Parent-reported feeding practices
Parent questionnaires assessing feeding styles, strategies, and control over child's food intake, providing insight into family eating environment.
Measured: Baseline
Parent-reported appetitive traits
Parent assessment of child's appetite-related behaviors using standardized questionnaires to capture tendencies influencing eating patterns.
Measured: Baseline
Child temperament
Parent-reported measures of child temperament characteristics to explore behavioral factors that might influence eating and activity.
Measured: Baseline
Parent rating of child Tanner stage
Pubertal development stage assessed by parent report using Tanner scale, to account for physiological maturation impacting metabolism and behavior.
Measured: Baseline
Child sleep patterns (parent-reported)
Parent-reported child sleep duration and quality via standardized sleep questionnaires to evaluate potential effects on weight and behavior.
Measured: Baseline
Executive functioning
Direct child assessment of executive functions such as working memory, attention, and cognitive flexibility using the NIH Toolbox standardized tests.
Measured: Baseline
Child IQ
Standardized assessment of child intelligence quotient using WASI-II.
Measured: Baseline
Food liking and wanting during laboratory meals
Child's hedonic ratings of food items consumed during laboratory meals to assess preferences influencing intake.
Measured: Through study completion, an average of 1 year
Food liking and wanting during fMRI scanning
Child's ratings of liking and wanting for foods presented during fMRI scans to correlate brain activation with subjective food reward.
Measured: Through study completion, an average of 1 year
Pre-meal hunger and fullness ratings
Child self-reported hunger and fullness before meals using visual analog scales to control for appetite state during intake measures.
Measured: Through study completion, an average of 1 year
Child visceral interoceptive awareness
Assessment of child's awareness of internal bodily signals via heartbeat perception task, indicating sensitivity to visceral cues potentially linked to eating behavior.
Measured: Baseline
Child interoceptive awareness questionnaire
Child self-reported questionnaire measuring awareness of internal bodily sensations relevant to appetite and satiety.
Measured: Baseline
Physical activity by accelerometry and questionnaire
Objective measurement of physical activity through accelerometer devices combined with parent and child questionnaires to quantify movement levels.
Measured: Baseline
Sleep duration assessed by accelerometry
Sleep duration in hours per night
Measured: Baseline
Intake at a standard baseline meal
Amount of food consumed by the child during a standardized meal in the laboratory setting to assess baseline intake independent of portion manipulation.
Measured: Baseline
Intake of snacks and treats in the absence of hunger
Measurement of child's consumption of palatable snacks offered after a meal when not hungry, assessing loss of control or hedonic eating.
Measured: Baseline
Relative reinforcing value of food assessed on computer task
Behavioral task evaluating the motivational value of food compared to alternative rewards, indicating reward sensitivity.
Measured: Baseline
Sleep fragmentation index
Sleep fragmentation index is the number of 1 minute bouts of sleep divided by the total sleep time. Higher scores equal worse quality sleep.
Measured: Baseline
Sleep Efficiency Percentage
Percent of time in bed that is spent asleep, with higher scores equal to better quality sleep.
Measured: Baseline
Wake after sleep onset (WASO)
Minutes awake after onset of sleep.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Dec 2025
- Study start1 Jul 2026 (estimated)
- Primary completion30 Jun 2031 (estimated)
- Study completion30 Jun 2032 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 420 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Penn State University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Kathleen Loralee Keller, Penn State University
- Investigators
- Kathleen L Keller, Ph.D., Principal investigator, Penn State University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07266506
- Sponsor's protocol ID
- STUDY00023903
- Acronym
- PACE
- Status last verified
- Nov 2025
- First submitted
- 17 Nov 2025
- Last updated
- 5 Dec 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 5 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development of an Eating Behavior Risk Score
- ClinicalTrials.gov ID
- NCT07266506
- Acronym / sponsor ID
- PACE / STUDY00023903
- Keywords
- Obesity, Eating Behaviors, Appetite Regulation, Functional magnetic resonance imaging, Food-cue reactivity
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 420 participants (estimated)
- Lead sponsor
- Penn State UniversityUniversity, hospital or other
- Study start
- 1 Jul 2026 (estimated)
- Primary completion
- 30 Jun 2031 (estimated)
- Study completion
- 30 Jun 2032 (estimated)
- First posted
- 5 Dec 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study will explore how children's eating behaviors are connected to brain activity and body fat levels. Researchers are especially interested in a behavior pattern called the PACE phenotype, which includes how much children eat when offered large portions, how quickly they eat, their appetite traits, and their ability to control eating. The goal is to better understand why some children are more likely to gain weight than others.
The study will include children between the ages of 7 and 9 and will follow them for one year. Researchers will use brain scans, lab-based meal observations, and questionnaires to study how children respond to food and how their eating patterns relate to body fat at the start of the study and one year later. The study will also look at how family background, parenting, and other factors might protect some children from gaining excess weight even if they show risky eating behaviors. Results may help identify which children are most at risk for obesity and guide future strategies for prevention.
Detailed description
This is a one-year observational study designed to better understand how certain eating behaviors in children relate to brain function and weight gain over time. These behaviors will be assessed using a combination of laboratory meal tasks, caregiver questionnaires, and behavioral coding. Children will be invited to six research visits-four at the beginning of the study and two 12 months later-during which they will participate in structured meals where portion sizes are adjusted, complete computer-based and paper assessments, and undergo brain imaging while viewing pictures of food. Body composition will be measured at both timepoints using a DXA scan. In addition, researchers will collect information on children's sleep, physical activity, executive function, dietary intake, and interoceptive awareness. Parents will be asked to complete surveys about their family's socioeconomic background, food security, feeding practices, and their child's behavior, temperament, and development. One of the study's goals is to examine how brain regions involved in appetite regulation and self-control respond to food cues in children with different PACE scores. Another goal is to determine whether children with higher PACE scores tend to have more body fat and whether those scores predict changes in body fat over one year. The study will also explore whether children from families with higher or lower socioeconomic status show different patterns of risk. Finally, researchers will use a machine learning approach to identify children who seem resilient to weight gain, despite having high-risk eating patterns, and to better understand what family or individual characteristics might explain that resilience.
Study design
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Children in PACE Phenotype Study | Experimental | Behavioral: Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological MeasuresA total of 210 child-parent dyads (420 participants total) will be followed for 12 months to investigate the neurobiological and behavioral aspects of the PACE eating phenotype and its relationship to adiposity in children. Children will be 7 to 9 years old, with a body mass index (BMI)-for-age percentile either below the 85th or at or above the 95th percentile. The biological mother will have a BMI categorized as either normal weight (18.5-25.0 kg/m²) or obese (≥30.0 kg/m²). The study will assess brain responses to food cues, eating behaviors, and body fat using DXA scans, along with family socioeconomic and feeding factors that may influence weight gain trajectories. |
Who may qualify
- Ages
- 7 to 9 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
Key inclusion criteria (11 listed)
- Children must be of good health (with the exception of obesity being allowed) based on parental self-report.
- Children should have no learning disabilities or developmental delays (e.g., ADHD, Autism, dyslexia)
- Children should speak English fluently.
- Children should not be on any medications known to influence body weight, taste, food intake, behavior, or blood flow, not be claustrophobic.
- Children should between the ages of 7-9 years-old at enrollment.
Key exclusion criteria (13 listed)
- They are not within the age requirements (< 7 years-old or > 9 years-old) at baseline.
- They are taking cold or allergy medication, or other medications known to influence cognitive function, taste, appetite, or blood flow.
- They are red/green colorblind.
- They do not speak English fluently.
- They report being claustrophobic, or if they have any of the following: a learning disability, ADD/ADHD, language delays, autism, dyslexia, a pre-existing medical condition such as type I or type II diabetes, rheumatoid arthritis, Cushing's syndrome, Down's syndrome, food allergies, severe lactose intolerance, Prader-Willi syndrome, HIV, cancer, renal failure, or cerebral palsy.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological MeasuresThis study does not involve an active intervention. The exposures of interest include the children's eating behaviors as measured by the PACE phenotype score, which encompasses portion size responsiveness, appetite traits, loss of control eating, and eating rate. Brain responses to food cues assessed by fMRI, body composition measured by DXA, and family socioeconomic status will also be evaluated as key exposures. These measures will be collected at baseline and at 12-month follow-up to examine associations with adiposity and behavioral outcomes. | Behavioural | Children in PACE Phenotype Study |
Primary outcome
fMRI Neural Response to Food Portion Size Images
Time frame: Baseline
Functional magnetic resonance imaging (fMRI) will be used to measure brain activation in response to images of palatable, energy-dense food portions of varying sizes. Activation will be assessed in brain regions involved in visceral interoception (e.g., insula, cerebellum) and self-regulation (e.g., dorsolateral prefrontal cortex). These neural responses will be correlated with children's PACE phenotype scores to explore neurobiological underpinnings of eating behaviors.
PACE (Portion Size Susceptibility, Appetite Awareness, Loss of Control Eating, and Eating Speed) Phenotype Score
Time frame: Baseline and 12-month follow-up
The PACE score will be calculated as a composite measure including: 1) children's food intake during two laboratory meals with varying portion sizes, 2) parent-reported appetite traits via the Children's Eating Behavior Questionnaire, 3) loss of control eating measured with the Pediatric Eating Disorder Screener, and 4) eating rate quantified through video-recorded meals and behavioral coding of bite rate and eating speed. This score reflects obesogenic eating phenotypes.
Child Adiposity
Time frame: Baseline and 12-month follow-up
Child body fat percentage and adiposity will be measured using DXA scans, a validated imaging technique providing precise assessment of body composition. This measure will serve as the primary dependent variable to evaluate associations with PACE phenotype and changes over time.
Family Socioeconomic Status (SES)
Time frame: Baseline
Family SES will be assessed via parent self-report questionnaires, including family income levels and parental educational attainment. SES will be analyzed as a moderator of the relationship between PACE scores and child adiposity to explore social determinants of obesity risk.
PACE Phenotype Score Consistency Over Time
Time frame: Baseline and 12-month follow-up
PACE scores obtained at baseline and 12-month follow-up will be compared to evaluate the stability and trajectory of obesogenic eating behaviors in children over one year.
25 secondary outcomes
Parent-reported race and ethnicity
Time frame: Baseline
Parent-reported socioeconomic status
Time frame: Baseline
Parent-reported educational attainment
Time frame: Baseline
Food security status
Time frame: Baseline
Rurality of family home
Time frame: Baseline
Parent-reported feeding practices
Time frame: Baseline
Parent-reported appetitive traits
Time frame: Baseline
Child temperament
Time frame: Baseline
Parent rating of child Tanner stage
Time frame: Baseline
Child sleep patterns (parent-reported)
Time frame: Baseline
Executive functioning
Time frame: Baseline
Child IQ
Time frame: Baseline
Food liking and wanting during laboratory meals
Time frame: Through study completion, an average of 1 year
Food liking and wanting during fMRI scanning
Time frame: Through study completion, an average of 1 year
Pre-meal hunger and fullness ratings
Time frame: Through study completion, an average of 1 year
Child visceral interoceptive awareness
Time frame: Baseline
Child interoceptive awareness questionnaire
Time frame: Baseline
Physical activity by accelerometry and questionnaire
Time frame: Baseline
Sleep duration assessed by accelerometry
Time frame: Baseline
Intake at a standard baseline meal
Time frame: Baseline
Intake of snacks and treats in the absence of hunger
Time frame: Baseline
Relative reinforcing value of food assessed on computer task
Time frame: Baseline
Sleep fragmentation index
Time frame: Baseline
Sleep Efficiency Percentage
Time frame: Baseline
Wake after sleep onset (WASO)
Time frame: Baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Dec 2025.
- Link to PACE publicationLink provided by the sponsor.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Kathleen L Keller, Ph.D. principal investigator
Penn State University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Assessment of PACE Eating Phenotype and Related Behavioral and Neurobiological Measures in people with Obesity and Childhood, run by Penn State University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 11 inclusion and 13 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 5 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Kathleen L Keller, Ph.D. (814-863-2915, klk37@psu.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
fMRI Neural Response to Food Portion Size Images (time frame: Baseline). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Dec 2025.