Novel Techniques for the Assessment of Physical Activity in Children

评估儿童身体活动的新技术

• 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
• 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

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）：在过去的几年中，使用加速度计来测量儿童体育活动。加速度计通常戴在腰上，它们具有内部时钟和较大的记忆能力，使其非常适合作为几天到几周跟踪体育活动模式的非侵入性客观方法。通常，通过使用单个线性回归方程将计数与能量消耗相关的单线性回归方程，将加速度计数据（计数）转换为能量消耗的估计或在光，中等和剧烈的体育活动中花费的时间。此外，为成人开发的方程式不适用于儿童，因为计数和能量消耗之间的关系受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个2-回归模型，用于成人，该模型将步行和慢跑与基于加速度计数的可变性的间歇性生活方式活动区分开来。 2-回归模型在成人中估计能量消耗和时间所花费的时间的准确性和精度有了显着提高。该提案将解决扩展用于分析成年人对儿童加速度计数据的更高级方法的需求。该研究的具体目的是：1）使用18个结构化活动的10分钟回合在8-9岁的儿童（n = 120）中开发一个2-回归模型，从久坐行为到剧烈的体育活动； 2）在单独的8-9岁儿童样本（n = 72）中验证新的2-回归模型，使用七个活动进行10分钟和2小时的自由活动。该项目的总体目标是开发一个2个回归模型，该模型将提高估计8-9岁儿童中光，中度和剧烈体育锻炼所花费的能量消耗和时间的准确性和精确度。此外，在2-回归模型的开发和验证期间，我们将包括同等数量的正常体重儿童（BMI <85％，年龄和性别比例）以及超重和肥胖儿童（BMI> 85％，年龄和性别特定）。这将进一步了解体重和身体成分等因素如何影响加速度计数和能量消耗之间的关系。然后，本研究开发的方法将用于未来的研究，以研究较大的年龄段（例如6-18岁），其身体大小和种族/种族/种族/种族范围很广。公共卫生相关性：在过去的20年中，肥胖在学龄儿童中增加了一倍以上，这是一个严重的公共卫生问题。体育活动在预防和治疗肥胖和其他代谢障碍中起着重要作用。这项研究将提供改进的儿童体育活动评估方法。