76 Participants Needed

Food Rating for Childhood Obesity

(BRAKE Trial)

KL
AL
Overseen ByAlaina L Pearce, PhD
Age: < 18
Sex: Any
Trial Phase: Academic
Sponsor: Penn State University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

Do I need to stop my current medications to join the trial?

Yes, you must stop taking any medications that influence body weight, taste, food intake, behavior, or blood flow. This includes cold or allergy medications and others affecting cognitive function, taste, appetite, or blood flow.

What data supports the idea that Food Rating for Childhood Obesity is an effective treatment?

The available research shows that food labeling, which is part of the Food Rating approach, has a positive effect on food consumption choices, helping to prevent obesity. This suggests that Food Rating can be effective in guiding healthier eating habits. Additionally, the Healthy Meal Index, a tool for assessing meal healthfulness, indicates that meals scored higher in healthfulness when parents had more education, which could be linked to better food choices and reduced obesity risk. While the Kids Choice Program is another treatment that increases fruit and vegetable consumption among children, Food Rating's focus on labeling and meal quality offers a different strategy for managing childhood obesity.12345

What safety data exists for the Food Rating treatment for childhood obesity?

The provided research does not contain specific safety data for the Food Rating treatment or any treatment evaluated under different names. The studies focus on food labeling, energy density of food products, and associations between food consumption and obesity, but do not address safety data for a specific treatment like Food Rating.16789

Is the treatment in the trial 'Food Rating for Childhood Obesity' a promising treatment?

Yes, the treatment is promising because it focuses on improving children's diets by promoting healthier food choices, reducing high-energy foods, and increasing the availability of fruits and vegetables. This approach can help address childhood obesity by encouraging better eating habits.5691011

What is the purpose of this trial?

Children from rural communities are at greater risk for obesity than children from more urban communities. However, some children are resilient to obesity despite greater exposure to obesogenic influences in rural communities (e.g., fewer community-level physical activity or healthy eating resources). Identifying factors that promote this resiliency could inform obesity prevention. Eating habits are learned through reinforcement (e.g., hedonic, familial environment), the process through which environmental food cues become valued and influence behavior. Therefore, understanding individual differences in reinforcement learning is essential to uncovering the causes of obesity. Preclinical models have identified two reinforcement learning phenotypes that may have translational importance for understanding excess consumption in humans: 1) goal-tracking-environmental cues have predictive value; and 2) sign-tracking-environmental cues have predictive and hedonic value (i.e., incentive salience). Sign-tracking is associated with poorer attentional control, greater impulsivity, and lower prefrontal cortex (PFC) engagement in response to reward cues. This parallels neurocognitive deficits observed in pediatric obesity (i.e., worse impulsivity, lower PFC food cue reactivity). The proposed research aims to determine if reinforcement learning phenotype (i.e., sign- and goal-tracking) is 1) associated with adiposity due to its influence on neural food cue reactivity, 2) associated with reward-driven overconsumption and meal intake due to its influence on eating behaviors; and 3) associated with changes in adiposity over 1 year. The investigators hypothesize that goal-tracking will promote resiliency to obesity due to: 1) reduced attribution of incentive salience and greater PFC engagement to food cues; and 2) reduced reward-driven overconsumption. Finally, the investigators hypothesize reinforcement learning phenotype will be associated due to its influence on eating behaviors associated with overconsumption (e.g., larger bites, faster bite rat and eating sped). To test this hypothesis, the investigators will enroll 76, 8-10-year-old children, half with healthy weight and half with obesity based on Centers for Disease Control definitions. Methods will include computer tasks to assess reinforcement learning, dual x-ray absorptiometry to assess adiposity, and neural food cue reactivity from functional near-infrared spectroscopy (fNIRS).

Eligibility Criteria

This trial is for healthy 8-9-year-old children who speak English, without neurodevelopmental disorders like ADHD or learning disabilities such as dyslexia. They should not have food allergies relevant to the study, nor be on medications affecting weight, taste, intake, behavior, or blood flow. A knowledgeable parent must accompany them.

Inclusion Criteria

Child must have no allergies to the foods or ingredients used in the study
Child must be of good health based on parental self-report
My child is not on any medication that affects weight, taste, eating habits, behavior, or blood flow.
See 3 more

Exclusion Criteria

My child is not between 8 and 9 years old.
My child is currently on medication that could affect their thinking, taste, appetite, or blood flow.
Child is allergic to foods or ingredients used in the study
See 5 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Baseline Assessment

Initial assessments including reinforcement learning tasks, body composition, and neural food cue reactivity

1-2 weeks
1 visit (in-person)

Follow-up

Participants are monitored for changes in adiposity and other measures over 1 year

1 year
2 visits (in-person)

Treatment Details

Interventions

  • Food Rating
Trial Overview The study investigates how different reinforcement learning styles (goal-tracking and sign-tracking) relate to obesity in children from rural areas. It involves computer tasks assessing these learning styles and measures body fat using dual x-ray absorptiometry along with brain responses to food cues.
Participant Groups
3Treatment groups
Experimental Treatment
Group I: WantingExperimental Treatment1 Intervention
Children will rate foods on desire to eat
Group II: TasteExperimental Treatment1 Intervention
Children will rate foods on taste
Group III: HealthExperimental Treatment1 Intervention
Children will rate foods on health

Find a Clinic Near You

Who Is Running the Clinical Trial?

Penn State University

Lead Sponsor

Trials
380
Recruited
131,000+

National Center for Advancing Translational Sciences (NCATS)

Collaborator

Trials
394
Recruited
404,000+

Findings from Research

Food labeling has a positive impact on the consumption of food products, suggesting that clear labeling can help prevent obesity and overweight.
Sensory attributes of food (like taste and smell) were found to be more influential on consumer choices than health recommendations provided on labels, indicating that appealing food qualities may drive consumption more than nutritional information.
[Food labeling and the prevention of overweight and obesity: a systematic review].Sebastián-Ponce, MI., Sanz-Valero, J., Wanden-Berghe, C.[2019]
The Healthy Meal Index (HMI) was developed and validated as a tool to score the healthfulness of meals served to children, based on the presence of healthy 'Adequacy foods' and the absence of less healthy 'Moderation foods'.
In a study involving 233 children aged 4-8 years, it was found that parents with higher education levels served meals with better health scores, indicating that sociodemographic factors can influence meal quality.
The Healthy Meal Index: A tool for measuring the healthfulness of meals served to children.Kasper, N., Mandell, C., Ball, S., et al.[2019]
The Kids Choice Program effectively increased fruit and vegetable consumption among both overweight and average-weight children during the month-long initiative.
The program not only boosted consumption but also maintained children's preference for these healthy foods, suggesting it can positively influence nutrition and weight management behaviors in a school setting.
Overweight and average-weight children equally responsive to "Kids Choice Program" to increase fruit and vegetable consumption.Hendy, HM., Williams, KE., Camise, TS., et al.[2019]

References

[Food labeling and the prevention of overweight and obesity: a systematic review]. [2019]
The Healthy Meal Index: A tool for measuring the healthfulness of meals served to children. [2019]
Overweight and average-weight children equally responsive to "Kids Choice Program" to increase fruit and vegetable consumption. [2019]
Evaluating changeability to improve fruit and vegetable intake among school aged children. [2018]
Consumption Of Specific Foods And Beverages And Excess Weight Gain Among Children And Adolescents. [2022]
Association between Food, Beverages and Overweight/Obesity in Children and Adolescents-A Systematic Review and Meta-Analysis of Observational Studies. [2023]
Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis. [2023]
Food security, maternal feeding practices and child weight-for-length. [2018]
Energy Density of New Food Products Targeted to Children. [2023]
10.United Statespubmed.ncbi.nlm.nih.gov
Improving children's menus in community restaurants: best food for families, infants, and toddlers (Best Food FITS) intervention, South Central Texas, 2010-2014. [2022]
11.United Statespubmed.ncbi.nlm.nih.gov
Eating patterns, dietary quality and obesity. [2022]
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