Prediction of Energy Expenditure/Physical Activity in Children and Adolescents

儿童和青少年能量消耗/身体活动的预测

• 批准号: 7122480
• 负责人: NANCY F. BUTTE
• 金额: $ 29.66万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7122480
• 关键词: adolescence (12-20); basal metabolism; bioenergetics; body composition; body height; body physical activity; body weight; calorimetry; clinical research; heart rate; human subject; middle childhood (6-11); monitoring device; obesity; photon absorptiometry; physical fitness; statistics /biometry

DESCRIPTION (provided by applicant): In the proposed project, we will develop a model to predict minute-by-minute energy expenditure (EE) in children and adolescents using a new device called Actiheart, which simultaneously records heart rate (HR) and (PA). Total energy expenditure (TEE) will be derived from the summation of EE over a 24-h period and activity energy expenditure (AEE) will be computed from TEE using an estimate of resting metabolic rate (0.9 TEE-RMR). This method will be developed in a sample of 50 normal-weight and 50 overweight children and adolescents using 24-h room respiration calorimetry, and validated in an independent sample (n=46) using 24-h room respiration calorimetry and 7-day free-living measurements of TEE by the doubly labeled water (DLW) method. The overall goal will be to predict 24-h TEE and AEE of individuals from combined HR and PA within 10% of independently measured values by respiration calorimetry and DLW. Therefore, the specific aims of the proposed project are: 1. To develop multivariate adaptive regression splines (MARS) and cross-sectional time series models for the prediction of EE and hence 24-h TEE and AEE from HR in 50 normal-weight and 50 overweight children and adolescents using Actiheart and 24-h room respiration calorimetry. 2. To validate the MARS and cross-sectional time series models for the prediction of minute-by-minute EE and hence 24-h TEE and AEE from HR against 24-h room respiration calorimetry and DLW method in an independent sample of 23 normal-weight and 23 overweight children and adolescents. Public Health Relevance: Free-living measurements of 24-h TEE and AEE are required to better understand the metabolic, physiological, behavioral and environmental factors affecting energy balance and contributing to the global epidemic of childhood obesity. The two primary methods to measure EE (respiration calorimetry and DLW) are impractical for the large-scale epidemiological studies required to address this important public health problem. A new method based on direct ambulatory monitoring of HR and PA will be developed to accurately predict EE, and hence 24-h TEE and AEE in children and adolescents.

描述（由申请人提供）：在拟议的项目中，我们将开发一个模型来预测儿童和青少年使用一种称为Actiheart的新设备的儿童和青少年，该模型同时记录心率（HR）和（PA）。总能量支出（TEE）将从24小时内的EE总和（AEE）中得出，使用静息代谢率（0.9 TEE-RMR）从TEE计算活动能量消耗（AEE）。该方法将在50个正常重量和50个超重儿童和青少年的样本中使用24小时室呼吸量热法开发，并在独立样品（n = 46）中使用24小时室呼吸量热量法和7天的自由生活测量TEE通过双重标记的水（DLW）方法进行了验证。总体目标是通过呼吸量热法和DLW预测联合HR和PA的个人的24小时TEE和AEE。因此，拟议项目的具体目的是：1。开发多变量自适应回归花纹（MARS）和横截面时间序列模型，用于预测EE，因此使用ACTIHEART和24小时房间呼吸器呼吸器构建了50个正常重量和50个正常重量的HR和HR的24-H TEE和AEE。 2。为了验证火星和横截面时间序列模型，以在23个正常重量的独立样本和23个超重儿童和青少年的独立样本中，对HR对HR的24小时TEE和AEE进行预测，因此24小时的TEE和AEE。公共卫生相关性：需要24-H TEE和AEE的自由生活测量值，以更好地了解影响能量平衡的代谢，生理，行为和环境因素，并促进了儿童肥胖的全球流行病。测量EE的两种主要方法（呼吸量热法和DLW）对于解决这一重要的公共卫生问题所需的大规模流行病学研究是不切实际的。将开发一种基于直接卧床监测HR和PA的新方法，以准确预测EE，因此在儿童和青少年中进行了24-H TEE和AEE。