Nutrition Intervention to Improve Energy Metabolism, Energy Intake, and Metabolic Response in Overweight and Obese School-aged Children
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 27
- 试验地点
- 2
- 主要终点
- The effect of breakfast type on energy expenditure over 14 days of dietary adaptation.
研究概览
简要总结
The long-term objective of this study is to determine if habitual consumption of high-quality protein at breakfast will lead to improved energy metabolism and decreased daily energy intake in normal weight and overweight children. The investigators hypothesize that increasing protein intake at breakfast will improve energy metabolism and reduce energy intake throughout the day in overweight/obese school-aged children. The significance of the study is that improving nutrient intake at breakfast can potentially lead to a future reduction in childhood obesity rates.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Basic Science
- 盲法
- Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 8 Years 至 12 Years（Child）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Habitual breakfast consumer
- •No known medical issues
排除标准
- •Food allergies
- •Medication
- •Claustrophobic
- •Dietary restrictions
- •Picky eater (determined by parent/guardian)
结局指标
主要结局
The effect of breakfast type on energy expenditure over 14 days of dietary adaptation.
时间窗: Fourteen days
Whole-body energy expenditure will be measured using doubly-labeled water method
The effect of breakfast type on postprandial appetite
时间窗: Change from baseline to four hours postprandial.
Appetite assessment via visual analog scales
The effect of breakfast type on energy expenditure four hours postprandial
时间窗: Change from baseline to four hours postprandial.
Energy expenditure will be measured using indirect calorimetry via a TrueMax metabolic cart.
The effect of breakfast type on appetite hormone secretion
时间窗: Change from baseline to four hours postprandial.
Leptin, adiponectin, PYY, and CCK will be measured using ELISA method.
次要结局
- Metabolic health measures(Baseline and day 14 of each intervention)
- Proteomic analysis using TMT labeling(Fasting levels at baseline)
- Gut microbiota(Baseline and day 14 of each intervention)
研究者
Jamie Baum
Assistant Professor
University of Arkansas, Fayetteville