Pennsylvania State University
State College, Pennsylvania, 16801, United States
Location status: Recruiting
NCT Number: NCT07095166
Increased availability of high-energy dense foods has contributed to a pediatric obesity epidemic, with 23% of United States children currently presenting with the disease. How children eat contributes to both overconsumption and greater adiposity. However, it is unclear if laboratory measures of children's eating style generalize to the home environment, where children consume two thirds of their total energy. The study will 1) test if child eating styles observed in the lab generalize to more ecologically valid home environments and 2) identify aspects of home food environment that amplify obesogenic eating behaviors. We will assess laboratory and home eating styles (e.g., bite rate) in 100 prepubertal 6-9-year-old children to constrain variability in energy requirements. Children will be video-recorded while consuming identical study-provided meals at home and in the laboratory (counter-balanced order) in addition to a 'typical' meal at home. To study how adiposity relates to "obesogenic" styles of eating, gold standard dual x-ray absorptiometry will be used.
Interested in participating?
Request Info6 year–9 year
All sexes
Interventional
Not applicable
State College, Pennsylvania, 16801, United States
Location status: Recruiting
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The location at which the child will eat the experimental meal - home or lab
Time frame: Day 1
child height and weight will be measured
Time frame: Day 1 and Day 2 or 3 depending on randomization
Intake in grams from standard meal
Time frame: Day 1 and Day 2 or 3 depending on randomization
Intake in kcal during a standard meal
Time frame: Day 1 and Day 2 or 3 depending on randomization
A digital recording of the child eating a standard meal will be saved. The study team have developed a behavior coding protocol to measure child meal microstructure (e.g., bites, bite size, meal duration) and have also validated a computational model to assess cumulative intake curves from video coded bite data.
Time frame: Day 1
Intake in grams during a snack buffet using a standard eating in the absence of hunger paradigm (i.e., non-homeostatic intake)
Time frame: Day 1
Intake in kcal during a snack buffet using a standard eating in the absence of hunger paradigm (i.e., non-homeostatic intake)
Time frame: Day 1
Dual-energy X-ray absorptiometry to assess body composition including fat mass and fat-free mass in children
Time frame: Day 2 or 3 depending on randomization and home meal administration
Intake in grams from Study Meal
Time frame: Day 2 or 3 depending on randomization and home meal administration
Intake in kcal during the Study Meal
Time frame: Day 2 or 3 depending on randomization and home meal administration
A digital recording of the child eating a Study Meal will be saved. The study team have developed a behavior coding protocol to measure child meal microstructure (e.g., bites, bite size, meal duration) and have also validated a computational model to assess cumulative intake curves from video coded bite data.
Time frame: Week 1 and Week 2
Digital recordings of the child eating a typical meals at home. The study team have developed a behavior coding protocol to measure child meal microstructure (e.g., bites, bite size, meal duration) and have also validated a computational model to assess cumulative intake curves from video coded bite data.
Penn State University
Other
Acronym: MEAL-TIME
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