Physical Activity Energy Expenditure & Adolescent Obesit

身体活动能量消耗

• 批准号: 7023159
• 负责人: KONG Y CHEN
• 金额: $ 69.3万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7023159
• 关键词: adolescence (12-20); behavior test; bioenergetics; body composition; body physical activity; calorimetry; clinical research; computational neuroscience; human subject; monitoring device; obesity; photon absorptiometry; posture

DESCRIPTION (provided by applicant): The energy expended in physical activity (EEAcr) is a major factor in energy balance. Since small energy excess (intake>expenditure) over time is the most common cause for weight gain and obesity in humans, the precision in measuring EEACT is crucial for etiological and interventional studies. Adolescents are at high risk for obesity, yet the intermittent nature of their physical activity (PA) and their greater metabolic efficiency make measuring EEAcr more challenging. The existing technologies in accelerometry are restricted to using crude time-averaged signals and over-simplified linear regression algorithms, which lead to inaccuracies in EEAcr predictions. Previous validation studies of these technologies often had imprecise measures of EE, lacked spontaneous and lower intensity PA's, and suffered from insufficient sample sizes. In our proposed study, we will test this hypothesis that measurements of detailed motion and postural signals from different body segments will significantly improve our predictions of EEACr as compared to the existing devices and algorithms used currently for adolescents. In Specific Aim 1, we will obtain goldstandard EE measurements synchronously with PA measured using currently-available and custom designed accelerometry devices. We will measure minute-to-minute EEACr using a whole-room indirect calorimeter for a 24-hour period, and a portable calorimeter for a 3-hour free-living period. The new accelerometry device specifically developed for this study will synchronously measure accelerations at 32 samples/second, 16 channels, and 10 different body locations. In Specific Aim 2, we propose to develop advanced modeling approaches to transform body accelerations and postures to predict EEACr- We will utilize powerful Artificial Neural Network and traditional biostatistical approaches for modeling. In Specific Aim 3, we will validate these EE predictive models in free-living adolescents using wireless devices and doubly-labeled water. We will then, in Specific Aim 4, define the role of PA in energy balance for lean, overweight, and obese adolescents. In this study, we will apply the latest advances in bioengineering devices and analytical modeling in clinical investigations of adolescent obesity. This will also guide the design of future PA monitors targeting accurate energy expenditure assessments in this vulnerable population. Moreover, we will utilize our comprehensive measurements to validate and improve the ability of existing accelerometers to predict energy expenditure in adolescents, thus providing directly benefits to the field researchers.

描述（由申请人提供）： 体力活动消耗的能量 (EEAcr) 是能量平衡的主要因素。由于随着时间的推移，少量能量过剩（摄入>支出）是人类体重增加和肥胖的最常见原因，因此测量 EEACT 的精确度对于病因学和干预研究至关重要。青少年肥胖的风险很高，但他们的体力活动 (PA) 的间歇性和较高的代谢效率使得测量 EEAcr 更具挑战性。现有的加速度测量技术仅限于使用粗略的时间平均信号和过于简化的线性回归算法，这导致 EEAcr 预测不准确。以前对这些技术的验证研究通常对 EE 的测量不精确，缺乏自发的和较低强度的 PA，并且样本量不足。在我们提出的研究中，我们将测试这一假设，即与目前用于青少年的现有设备和算法相比，对来自不同身体部位的详细运动和姿势信号的测量将显着改善我们对 EEACr 的预测。在具体目标 1 中，我们将使用当前可用的和定制设计的加速测量设备与 PA 同步获得黄金标准 EE 测量。我们将在 24 小时内使用全房间间接热量计测量每分钟的 EEACr，并在 3 小时自由生活期间使用便携式热量计测量每分钟的 EEACr。专门为本研究开发的新型加速度测量设备将以 32 个样本/秒、16 个通道和 10 个不同的身体位置同步测量加速度。在具体目标 2 中，我们建议开发先进的建模方法来转换身体加速度和姿势以预测 EEACr - 我们将利用强大的人工神经网络和传统的生物统计方法进行建模。在具体目标 3 中，我们将使用无线设备和双标记水在自由生活的青少年中验证这些 EE 预测模型。然后，我们将在具体目标 4 中定义 PA 在瘦、超重和肥胖青少年能量平衡中的作用。在这项研究中，我们将在青少年肥胖的临床研究中应用生物工程设备和分析模型的最新进展。这也将指导未来 PA 监测器的设计，针对这一弱势群体进行准确的能源支出评估。此外，我们将利用我们的综合测量来验证和提高现有加速度计预测青少年能量消耗的能力，从而为现场研究人员提供直接的好处。