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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05456516
Other study ID # STUDY00020463
Secondary ID KL2TR002015
Status Recruiting
Phase N/A
First received
Last updated
Start date January 10, 2023
Est. completion date April 30, 2025

Study information

Verified date April 2023
Source Penn State University
Contact Alaina L Pearce, PhD
Phone 814-863-2120
Email azp271@psu.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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 and 2) associated with reward-driven overconsumption and meal intake due to its influence on eating behaviors. 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, 8-9-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).


Recruitment information / eligibility

Status Recruiting
Enrollment 76
Est. completion date April 30, 2025
Est. primary completion date April 30, 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 8 Years to 9 Years
Eligibility Child Inclusion Criteria: - In order to be enrolled, children must be of good health based on parental self-report. - Have no neurodevelopmental disorder (e.g., attention deficit hyperactivity disorder - ADHD) or learning disabilities (e.g., dyslexia). - Have no allergies to the foods or ingredients used in the study. - Not be taking any medications known to influence body weight, taste, food intake, behavior, or blood flow. - Be 8-9 years-old at enrollment. - speaks English. Parent Inclusion Criteria: - The parent who has the most knowledge of the child's eating behavior, sleep and behavior must be available to attend the visits with their child. This would be decided among the parents. Exclusion Criteria: - They are not within the age requirements (< than 8 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. - don't speak English. - are colorblind. - has a learning disability, ADHD, language delays, autism or other neurological or psychological conditions. - has a pre-existing medical condition such as type I or type II diabetes, rheumatoid arthritis, Cushing's syndrome, Down's syndrome, severe lactose intolerance, Prader-Willi syndrome, HIV, cancer, renal failure, or cerebral palsy. - is allergic to foods or ingredients used in the study. - has had an X-ray in the month prior to Visits 1. If so, they will be scheduled at a later date. Parent Exclusion Criteria: - the parent is unable to attend the study visits

Study Design


Intervention

Behavioral:
Food Rating
Children will rate foods on taste, health, and desire to eat. The order in which they rate the food characteristics is randomly assigned and counter-balanced across participants

Locations

Country Name City State
United States Chandlee Laboratory University Park Pennsylvania

Sponsors (2)

Lead Sponsor Collaborator
Penn State University National Center for Advancing Translational Sciences (NCATS)

Country where clinical trial is conducted

United States, 

References & Publications (6)

Colaizzi JM, Flagel SB, Joyner MA, Gearhardt AN, Stewart JL, Paulus MP. Mapping sign-tracking and goal-tracking onto human behaviors. Neurosci Biobehav Rev. 2020 Apr;111:84-94. doi: 10.1016/j.neubiorev.2020.01.018. Epub 2020 Jan 20. — View Citation

Fuchs BA, Roberts NJ, Adise S, Pearce AL, Geier CF, White C, Oravecz Z, Keller KL. Decision-Making Processes Related to Perseveration Are Indirectly Associated With Weight Status in Children Through Laboratory-Assessed Energy Intake. Front Psychol. 2021 Aug 18;12:652595. doi: 10.3389/fpsyg.2021.652595. eCollection 2021. — View Citation

Pearce AL, Adise S, Roberts NJ, White C, Geier CF, Keller KL. Individual differences in the influence of taste and health impact successful dietary self-control: A mouse tracking food choice study in children. Physiol Behav. 2020 Sep 1;223:112990. doi: 10.1016/j.physbeh.2020.112990. Epub 2020 Jun 4. — View Citation

Pearce AL, Cevallos MC, Romano O, Daoud E, Keller KL. Child meal microstructure and eating behaviors: A systematic review. Appetite. 2022 Jan 1;168:105752. doi: 10.1016/j.appet.2021.105752. Epub 2021 Oct 16. — View Citation

Rangel A. Regulation of dietary choice by the decision-making circuitry. Nat Neurosci. 2013 Dec;16(12):1717-24. doi: 10.1038/nn.3561. Epub 2013 Nov 22. — View Citation

van Meer F, Charbonnier L, Smeets PA. Food Decision-Making: Effects of Weight Status and Age. Curr Diab Rep. 2016 Sep;16(9):84. doi: 10.1007/s11892-016-0773-z. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Other Taste testing to measure liking of foods Ratings of how much a child likes a food is measured on a computerized visual scale. The scale is from 1 (Hate It) to 5 (Love It). baseline
Other Child fullness Child fullness will be measured using a pictorial fullness scale termed a Freddy Fullness scale. Prior to the visit, children will be instructed to fast for at least 3hrs. They are then instructed on use of the scale by trained research personnel. Following this, children will be asked to report current fullness on the scale, which measures a fullness range of 0 to 150 mm. This will be done before and after each meal and taste test. The scale will also be used before and after the fNIRS session. baseline
Other Physical activity An ActiGraph watch will be given to the parent with instruction. The child will be wearing the wrist watch for one week in the baseline time period (other than when showering, bathing or in a pool) and will hand it back at their next visit. baseline
Other Sleep Efficiency An ActiGraph watch will be given to the parent with instruction. The child will be wearing the wrist watch for one week in the baseline time period (other than when showering, bathing or in a pool). baseline
Other Children's Anxiety Meter Scale Self-report questionnaire for child: The Children's Anxiety Meter Scale measures state anxiety before and after the fNRIS session baseline
Other Perceived Stress Scale Self-report questionnaire for child: The Perceived Stress Scale asks the child about feelings over the last month to assess perceived stress baseline
Other Loss of Control Eating Questionnaire Self-report questionnaire for child: The loss of control eating questionnaire asks children if they have recently experienced and episode of loss of control eating baseline
Other Demographics Parental report questionnaire: information describing the cultural, social and financial characteristics of the family. baseline
Other Child pubertal development assessment Parental report questionnaire: Child Puberty and Tanner Questionnaire is score in the following way: Male genitals are scored on a scale of 1 to 5 maturity, female breasts on a scale of 1 to 5 and both males and females on a scale of 1 to 5 for pubic hair quality and extension. Higher values indicate more pubertal development baseline
Other Child Feeding Questionnaire Parental report questionnaire: Child Feeding Questionnaire (CFQ) is scored on a scale of 1-5 with lower values being better (score is the average of items for each subscale). baseline
Other Child Eating Behavior Questionnaire Parental report questionnaire: The Child Eating Behavior Questionnaire (CEBQ) was designed to assess children's eating scale styles. It is a parent-report measure comprised of 35 items, each rated on a five-point likert scale that ranges from never to always. It is made up of eight scales: Food responsiveness, Emotional over-eating, Enjoyment of food, Desire to drink, Satiety responsiveness, Slowness in eating, Emotional under-eating, and Food fussiness. baseline
Other Children's Behavior Questionnaire Parental report questionnaire: The Child Behavior questionnaire (CBQ) is an assessment of temperament.Children are assessed on 15 primary temperament characteristics using a 7 point Likert scale. baseline
Other Behavior Rating Inventory of Executive Function - 2 Parental report report questionnaire: The Behavior Rating Inventory of Executive Function (BRIEF-2) assesses executive function and self-regulation. Questions are answered on a 3-point scale (never, sometimes, often). This rating is scored by taking a sum of all items and referencing and age- and sex-normalized tables to get T-scores and percentiles; Higher T-scores indicate less Executive Function. baseline
Other Binge Eating Scale Parental report questionnaire: The Binge Eating Scale asks parents about children's eating behaviors related to binge eating and overeating. Response are from 1 - 4 which scales from the least to most severe baseline
Other Child Sleep Habits Questionnaire Parental report questionnaire: The Child Sleep Habits Questionnaire contains 8 questions describing a child's sleep habits. The answers are on a 3 point scale with an opportunity to note if the answer indicates a problem. baseline
Other External Food Cues Responsiveness Scale Parental report questionnaire: The External Food Cue Responsiveness Scale Questionnaire asks nine questions related to external food cues, answered in a 1 (never) -5 (always) scale. Higher scores indicate an increased responsiveness to external food cues. baseline
Other Family Food Behavior Survey Parental report questionnaire: The Family Food Behavior Survey asks parents about the food and feeding behaviors in the home and has the following sub scales: and provides subscale scores for the following behaviors: Maternal Control, Maternal Presences, Child Choice, and Organization. Questions are scored from 0 - Never True, 1 - Rarely True, 2 - Sometimes, 3 - Often True, 4 - Always True baseline
Other Sensitivity to Punishment and Reward Questionnaire Parental report questionnaire: The Sensitivity to Punishment and Reward Questionnaire asks about child behaviors and has the follow sub scales: Fear/Shyness, Anxiety, Conflict Avoidance, Sensory Reward, Drive, Responsiveness to Social Approval, Impulsivity/Fun Seeking. The original 4 subscales (2004; 34 item subscales): Sensitivity to Punishment, Impulsivity/Fun Seeking, Drive, and Reward Responsiveness. Parents respond from 1 - Strongly Disagree, 2 - Disagree, 3 - Neither Agree nor Disagree, 4 - Agree, 5 - Strongly Agree baseline
Other Three Factor Eating Questionnaire Self-report questionnaire for the parent: The Three Factor Eating Questionnaire asks the parents about their own eating behaviors and has the following subscales - Cognitive Control of Eating Behaviors, Disinhibition of Control, and Susceptibility to Hunger. baseline
Other Parent Weight Loss Behavior Questionnaire Self-report questionnaire for the parent: The Parent Weight Loss Behavior Questionnaire asks parents about their use of healthy and unhealthy weight loss behaviors baseline
Other IQ estimation The child will be given the Wechsler Abbreviated Scale of Intelligence to estimate cognitive ability. It is a battery of four subtests: Vocabulary (31-item), Block Design (13-item), Similarities (24-item) and Matrix Reasoning (30-item). Each of the 4 subtests is scored by taking a sum of all items and referencing and age- and sex- normed tables to get standardized scores; these standardized scores are then added to get the 3 subscale scores, their associated IQ scores percentiles; Higher scores indicate a higher IQ. baseline
Other Processing speed and flexibility The Dellis-Kaplan Executive Function System Trail Making Test, Design Fluency, and Verbal Fluency will be used to assess motor processing speed, cognitive processing speed, fluency, and switching baseline
Other NIH Toolbox - Flanker Test The Flanker is a measure of interference. Scoring is based on a combination of accuracy and reaction time. A 2-vector scoring method is employed that uses accuracy and reaction time, where each of these "vectors" ranges in value between 0 and 5, and the computed score, combining each vector score, ranges in value from 0-10. For any given individual, accuracy is considered first. If accuracy levels for the participant are less than or equal to 80%, the final "total" computed score is equal to the accuracy score. If accuracy levels for the participant reach more than 80%, the reaction time score and accuracy score are combined. Higher scores indicate higher levels of ability to attend to relevant stimuli and inhibit attention from irrelevant stimuli. baseline
Other NIH Toolbox - List Sorting Test The List Sorting Working memory test assesses working memory. The List Sorting test requires immediate recall and sequencing of different visually and orally presented stimuli (i.e., "working memory"). Pictures of different foods and animals are displayed with accompanying audio recording and written text (e.g., "elephant"), and the participant is asked to say the items back in size order from smallest to largest, first within a single dimension (either animals or foods, called 1-List) and then on two dimensions (foods, then animals, called 2-List). The test takes approximately seven minutes to administer. List Sorting is scored by summing the total number of items correctly recalled and sequenced on 1-List and 2-List, which can range from 0-26.Higher scores on each of these indicate higher levels of working memory within the normative standard being applied. baseline
Other NIH Toolbox - Dimensional Card Sorting Test The Dimensional Change Card Sort Test is used to measure cognitive flexibility. Two target pictures are presented that vary along two dimensions (e.g., shape and color). Scoring is based on a combination of accuracy and reaction time. A 2-vector scoring method is employed that uses accuracy and reaction time, scores ranging from 0-10. For any given individual, accuracy is considered first. If accuracy levels for the participant are less than or equal to 80%, the final "total" computed score is equal to the accuracy score. If accuracy levels for the participant reach more than 80%, the reaction time score and accuracy score are combined. Higher scores indicate higher levels of cognitive flexibility. baseline
Other Child adiposity An air displacement plethysmograph (BodPod) will be used to measure child body composition baseline
Other Parent body mass index The parent who primarily makes food related decisions in the house will accompany the child to the visit and will have their height and weight measured. They will also report on the height and weight of the other parent baseline
Primary Child body mass index child height and weight will be measured baseline
Primary Oxy- and deoxyhemoglobin in response to food cues Functional near infrared spectroscopy (fNIRS) will measure brain activity through oxy- and deoxyhemoglobin in response to images of high and low energy dense foods. baseline
Primary Food intake in grams during a standard meal Intake in grams from standard meal baseline
Primary Food intake in grams during a snack buffet when not hungry Intake in grams during a snack buffet using a standard eating in the absence of hunger paradigm (i.e., non-homeostatic intake) baseline
Primary Food intake in kcal during a standard meal Intake in kcal during a standard meal baseline
Primary Food intake in kcal during a snack buffet when not hungry Intake in kcal during a snack buffet using a standard eating in the absence of hunger paradigm (i.e., non-homeostatic intake) baseline
Primary Reward-related decision making during 2-stage reinforcement learning task The 2-stage reinforcement learning task has a first stage two arm bandit with deterministic stage progression and a second stage one arm bandit. Reward distributions between the two second-stage states gradually drift throughout the task. Half the trials will be 'bonus' trials. Performance will be assessed using a computational model in addition to looking at trial-to-trial decisions. baseline
Primary Value modulated attentional capture The value-modulated attentional capture task uses two phases - a training phase during which high and low reward conditions are learned and a test phase during which participants complete a task that no longer depends upon the previously learned reward contingencies. During the test phase, stimuli from the training phase are used as distractors. Attentional capture is measured by comparing performance on trials that have distractors previously associated with high reward to those with distractors previously associated with low reward. baseline
Primary Video coding of standard meal A digital recording of the child eating a standard meal will be saved. We have developed a behavior coding protocol to measure child meal microstructure (e.g., bites, bite size, meal duration). We have also validated a computational model to assess cumulative intake curves from video coded bite data. baseline
Secondary Oxy- and deoxyhemoglobin in response to rating food health, taste, and wanting Functional near infrared spectroscopy will measure brain activity through oxy- and deoxyhemoglobin while children rate food images on health, taste and wanting baseline
Secondary Oxy- and deoxyhemoglobin in response to food choice Functional near infrared spectroscopy will measure brain activity through oxy- and deoxyhemoglobin while children choose which of two foods they would like to eat baseline
Secondary Eye-tracking during the value-modulated attentional capture task The extent to which previously reward distractors capture attention will be assessed with eye tracking baseline
Secondary Eye-tracking during the food choice task (during functional near infrared spectroscopy) Eye-tracking will be measured to determine if attention is drawn to the tastier food item prior to making a food choice baseline
Secondary Video coding of snack buffet A digital recording of the child during the eating in the absence of hunger protocol will be saved. We will use the video to characterize the amount of attention children give toward the food items when they are not hungry and code behaviors associated with self-control baseline
Secondary Population density The population density of the child's primary residence will be used as a measure of rurality baseline
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