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）： 体育活动中消耗的能量（EEACR）是能量平衡的主要因素。由于随着时间的流逝，少量能量过量（进气>支出）是人类体重增加和肥胖的最常见原因，因此测量EEACT的精度对于病因和介入研究至关重要。青少年有肥胖的高风险，但是他们的体育锻炼的间歇性质（PA）和更高的代谢效率使测量EACR更具挑战性。加速度计的现有技术仅限于使用粗略的时间平均信号和过度简化的线性回归算法，从而导致EACR预测的不准确性。对这些技术的先前验证研究通常对EE进行了不精确的措施，缺乏自发和较低的强度PA，并且样本量不足。在我们提出的研究中，我们将检验这一假设，即与当前用于青少年使用的现有设备和算法相比，不同身体部门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。在特定的目标1中，我们将使用当前可用和定制设计的加速度测定器设备测量的PA同步获得金色的EE测量。我们将使用整个房间间接热量计在24小时内测量分钟至分钟的EACR，并在3小时的自由生活期间进行4小时的便携式热量计。专门为本研究开发的新加速度计，将以32个样本/秒为16个通道和10个不同的身体位置同步测量加速度。在特定目标2中，我们建议开发先进的建模方法来改变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学方法进行建模。在特定的目标3中，我们将使用无线设备和双标记的水验证自由生活的青少年中的EE预测模型。然后，在特定的目标4中，我们将定义PA在能量平衡中的作用，以使精益，超重和肥胖的青少年。在这项研究中，我们将在青少年肥胖症的临床研究中应用生物工程设备和分析建模的最新进展。这还将指导针对该脆弱人群准确的能源消耗评估的未来PA监视器的设计。此外，我们将利用我们的全面测量来验证和提高现有加速度计预测青少年能源支出的能力，从而直接为现场研究人员提供益处。