Resilience to the Effects of Advertising in Children

ConditionObesity, Childhood

Trial statusRecruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age7-9

SponsorPenn State University

About this trial

Strong empirical evidence shows food marketing promotes excess energy intake and obesity. Yet, not all children are susceptible to its effects and this variability is poorly understood. Identifying sources of this variability is a public health priority not only because it may elucidate characteristics of children who are most susceptible, but also because it may highlight novel sources of resiliency to overconsumption. The proposed research will use state-of-the art, data-driven approaches to identify neural, cognitive and behavioral phenotypes associated with resiliency to food-cue (i.e. food advertisement) induced overeating and determine whether these phenotypes protect children from weight gain during the critical pre-adolescent period.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

In order to be enrolled, children must be of good health based on parental self-report.

Have no learning disabilities (e.g., ADHD).

Have no allergies to the foods or ingredients used in the study.

Not be claustrophobic.

Disqualifiers

They are not within the age requirements (< than 7 years old or > than 9 years-old at baseline).

If they are taking cold or allergy medication, or other medications known to influence cognitive function, taste, appetite, or blood flow.

If they don't speak English.

If they are colorblind

Trial population

Parents and children meeting the eligibility criteria living within 40 miles of University Park, Pa.

Trial design

Design model

Case-crossover

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

200 Participants

are grouped into 1 trial group

Group A: Children with healthy weight status

Trial outcomes

Primary outcomes

fMRI blood oxygen level dependent (BOLD) response to food commercials

Whole-brain response to food commercials, followed by images of high and low energy density foods in a fMRI scan

Time frame

baseline

fMRI blood oxygen level dependent (BOLD) response to toy commercials

Whole-brain response to toy commercials, followed by images of high and low energy density foods in a fMRI scan

Time frame

baseline

Food intake in grams after no commercial viewing

Intake in grams from an eating in the absence of hunger paradigm consumed following advertisement exposure when children are not hungry (i.e., non-homeostatic intake)

Time frame

baseline

Food intake in kcals after no commercial viewing

Intake in kcals from an eating in the absence of hunger paradigm consumed following advertisement exposure when children are not hungry (i.e., non-homeostatic intake)

Time frame

baseline

Secondary outcomes

Change in Android fat mass as measured by DXA analysis

Android fat mass (%) = (Android fat mass (kg) / total fat mass (kg))\*100

Time frame

Baseline and 1 year

Change in Gynoid fat mass as measured by DXA analysis

Gynoid fat mass (%) = (Gynoid fat mass (kg) / total fat mass (kg))\*100

Time frame

Baseline and 1 year

Child screen time

Child questionnaire quantifying the number of hours per day a child is exposed to different types of media.

Time frame

Baseline and 1 year

Child's brand awareness

Child's brand awareness assessed by a child computerized task. Children are asked to match pictures of products and brand logos. No scaling is used.

Time frame

Baseline and 1 year

Other outcomes

Height of child and one parent

Height (cm) will be measured. Body mass index (BMI) and BMI z scores will be calculated.

Time frame

Baseline

Weight of child and one parent

Weight (kg) will be measured. Body mass index (BMI) and BMI z scores will be calculated.

Time frame

Baseline

Height of child and one parent

Height (cm) will be measured. Body mass index (BMI) and BMI z scores will be calculated.

Time frame

1 year

Weight of child and one parent

Weight (kg) will be measured. Body mass index (BMI) and BMI z scores will be calculated.

Time frame

1 year

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Penn State University

Lead sponsor

University of Kansas Medical Center

Collaborator

University of Missouri, Kansas City

Collaborator

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Collaborator

Source ClinicalTrials.gov

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