Novel Techniques for the Assessment of Physical Activity in Children

评估儿童身体活动的新技术

基本信息

批准号：
7661581
负责人：
Scott E Crouter
金额：
$ 21.54万
依托单位：
UNIVERSITY OF MASSACHUSETTS BOSTON
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-06-15 至 2011-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7661581
关键词：
18 year old 9 year old Address Adult Affect Age Applications Grants Basal metabolic rate Behavior Biological Clocks Body Composition Body Size Cardiovascular Diseases Categories Child Chronic Disease Data Data Storage and Retrieval Development Devices Energy Metabolism Equation Ethnic Origin Future Goals Health Hour International Jogging Life Life Style Light Linear Regressions Measurement Measures Memory Metabolic Diseases Methodology Methods Modeling National Health and Nutrition Examination Survey Obesity Overweight Pattern Physical activity Play Prevention Public Health Questionnaires Race Research Research Personnel Role Running Sampling School-Age Population Series Structure Surveys Techniques Time Validation Walking Weight Work age group base cost improved member novel obesity treatment public health relevance sedentary sex validation studies

项目摘要

DESCRIPTION (provided by applicant): The use of accelerometers for the measurement of physical activity in children has increased substantially over the last several years. Accelerometers are typically worn on the waist and they have internal clocks and large memory capacities making them well suited as a non-invasive objective method of tracking physical activity patterns for days to weeks. Typically, accelerometer data (counts) are converted to estimates of energy expenditure or time spent in light, moderate and vigorous physical activity, by using single linear regression equations relating counts to energy expenditure. In addition, the equations developed for adults are not applicable to children since the relationship between counts and energy expenditure is affected by factors such as age and body mass. Recently members of this research group have developed a 2-regression model, for use in adults, which distinguishes walking and jogging from intermittent lifestyle activities based on the variability in the accelerometer counts. The 2-regression model provided a significant improvement in the accuracy and precision of estimating energy expenditure and time spent in light, moderate, and vigorous physical activity, in adults. This proposal will address the needs of extending the more advanced methods used to analyze accelerometer data in adults to children. The specific aims of the study are to: 1) Develop a 2- regression model in children 8-9 years of age (n=120) using 10 minute bouts of 18 structured activities that will range from sedentary behaviors to vigorous physical activities; and 2) Validate the new 2-regression model in a separate sample of children 8-9 years of age (n=72) using seven activities performed for 10 minutes each and 2 hours of free-living activity. The overall goal of the project is to develop a 2-regression model that will improve the accuracy and precision for estimating energy expenditure and time spent in light, moderate, and vigorous physical activity in children 8-9 years of age. In addition, during the development and validation of the 2-regression model, we will include equal numbers of normal weight children (BMI < 85th percentile, age and sex specific) and overweight and obese children (BMI > 85th percentile, age and sex specific). This will allow for further understanding about how factors such as weight and body composition affect the relationship between accelerometer counts and energy expenditure. The methodologies developed in this study will then be used for future research examining a larger age group (e.g., 6-18 years of age) with a wide range of body sizes and race/ethnicities. PUBLIC HEALTH RELEVANCE: Over the last 20 years obesity has more than doubled in school-aged children and is a serious public health concern. Physical activity plays an important role in the prevention and treatment of obesity and other metabolic disorders. This study will provide improved methods for physical activity assessment in children.

描述（由申请人提供）：在过去几年中，用于测量儿童身体活动的加速度计的使用大幅增加。加速度计通常佩戴在腰部，它们具有内部时钟和大存储容量，这使得它们非常适合作为一种非侵入性客观方法来跟踪几天到几周的身体活动模式。通常，通过使用将计数与能量消耗相关的单一线性回归方程，将加速度计数据（计数）转换为能量消耗或在轻度、中度和剧烈体力活动中花费的时间的估计值。此外，为成人开发的方程不适用于儿童，因为计数和能量消耗之间的关系受到年龄和体重等因素的影响。最近，该研究小组的成员开发了一种用于成人的 2 回归模型，该模型根据加速度计计数的变化将步行和慢跑与间歇性生活方式活动区分开来。 2 回归模型显着提高了成人轻度、中度和剧烈体力活动的能量消耗和时间估计的准确度和精确度。该提案将满足将用于分析成人加速度计数据的更先进方法扩展到儿童的需求。该研究的具体目标是： 1) 针对 8-9 岁儿童 (n=120) 开发一个 2-回归模型，使用 18 项结构化活动（从久坐行为到剧烈的体力活动，每次 10 分钟）； 2) 在 8-9 岁儿童 (n=72) 的单独样本中验证新的 2 回归模型，使用 7 项活动（每次 10 分钟）和 2 小时的自由生活活动。该项目的总体目标是开发一个 2 回归模型，以提高估计 8-9 岁儿童的能量消耗和轻度、中度和剧烈体力活动所花费的时间的准确性和精确度。此外，在 2 回归模型的开发和验证过程中，我们将包括同等数量的正常体重儿童（BMI < 85%，特定年龄和性别）和超重和肥胖儿童（BMI > 85%，特定年龄和性别））。这将有助于进一步了解体重和身体成分等因素如何影响加速度计计数和能量消耗之间的关系。本研究中开发的方法将用于未来的研究，检查具有广泛体型和种族/民族的更大年龄组（例如 6-18 岁）。公共健康相关性：过去 20 年来，学龄儿童的肥胖症增加了一倍多，是一个严重的公共健康问题。体力活动在预防和治疗肥胖和其他代谢紊乱方面发挥着重要作用。这项研究将为儿童身体活动评估提供改进的方法。