Metabolic Costs of Daily Activities in Older Adults

老年人日常活动的代谢成本

基本信息

批准号：
8504141
负责人：
Todd Manini
金额：
$ 33.28万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-07-15 至 2018-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8504141
关键词：
Address Adopted Adult Advisory Committees Affect Age Aging Algorithms American Americas Ankle Beds Body Weight Cardiopulmonary Categories Classification Client Clinical Data Data Set Dietary Intervention Effectiveness Elderly Energy Metabolism Epidemiology Exercise Exertion Foundations Future Gases Geriatrics Goals Guidelines Health Health Professional Hip region structure Impairment Individual Intervention Knowledge Lead Learning Life Life Style Longevity Machine Learning Measurement Measures Metabolic Methods Mission Modality Modeling Monitor Movement Orthopedics Oxygen Consumption Participant Patients Perception Physical Function Physical activity Physiological Play Population Public Health Pulmonary Gas Exchange Rehabilitation therapy Relative (related person)Research Research Design Resources Rest Risk Role Scientist System Techniques Testing Voice Work Wrist age related aged base cost design disability falls fitness forest functional disability improved insight middle age milliliter nutrition psychologic public health relevance tool uptake vector young adult

项目摘要

DESCRIPTION (provided by applicant): Americans spend over 90% of their activity related energy expenditure performing common daily activities. Health care professionals use normative data as a guide to prescribe appropriate activities for patients and clients. Additionally, scientists use this resource to plan physical activity or nutritional interventions ad apply these estimates to epidemiological research. However, while normative data have existed for over 20 years and are seemingly accurate in young adults, they can lead to misguided estimates of the metabolic cost of daily activities in older adults. This is not a trivial issue sice physical activity is one of the only known modalities to improve physical function in older adults and plays a critical role in regulating body weight. However, there is a serious lack of information pertaining to potential age-related differences in the metabolic cost of daily activitis. This leaves a major gap in knowledge for properly prescribing physical activity for a population that has elevated risk cardiopulmonary and orthopedic impairments. The primary goal of this project is to test the hypothesis that aging is associated with a difference in the metabolic cost f doing exercise and lifestyle activities. We will assess pulmonary gas exchange in 210 adults aged 20 to 80+ years with a portable indirect calorimeter worn while performing 38 daily activities. We will examine the metabolic equivalent (MET as a function of 3.5 milliliter" min-1"kg-1), metabolic economy (energy expended for a given work rate) and relative metabolic cost (as a function of resting and peak oxygen consumption) for each task as a function of age. Secondly, we will address how metabolic costs of daily activities are affected by having functional impairments by testing an additional 90 older adults (60+ years) with functional impairment. Thirdly, because scientists and public health officials alike rely on perception-based exertion to monitor intensity of physical activity, we will address the question- "Is aging associated with inaccuracies for self-gauging perceived exertion?" Addressing this question will gain insight into a better delivery system for recommending physical intensity to older adults. Lastly, the design and comprehensive metabolic measurements being proposed will provide an unprecedented opportunity to validate accelerometers for estimating the type and intensity of physical activity. Using new mathematical techniques that apply machine learning approaches (random forests, support vector and multiple kernel learning techniques), we will assess the potential to reduce the error in estimating the type and intensity of physical activity as compared to traditional methods. There are many end products of this research. First, the work will produce the largest dataset of metabolic cost for daily activities in 60+ years old. Second, an age-correction factor for metabolic costs will be created to apply to hundreds of tasks that fall into similar categories as those being evaluated. Finally, the work will refine the tools needed to feasibly assess physical activity in young and old adults. These accomplishments will directly impact the fields of epidemiology, geriatric medicine, rehabilitation, and nutritional sciences.

描述（由申请人提供）：美国人 90% 以上的活动相关能量消耗用于日常日常活动。医疗保健专业人员使用规范数据作为指南，为患者和客户制定适当的活动。此外，科学家利用这一资源来规划身体活动或营养干预措施，并将这些估计应用于流行病学研究。然而，虽然规范数据已经存在了 20 多年，并且对于年轻人来说似乎是准确的，但它们可能会导致对老年人日常活动代谢成本的错误估计。这不是一个小问题，因为体育活动是唯一已知的改善老年人身体机能的方式之一，并且在调节体重方面发挥着关键作用。然而，日常活动代谢成本与年龄相关的潜在差异的信息严重缺乏。这在为心肺和骨科损伤风险较高的人群正确制定体育活动处方方面留下了巨大的知识空白。该项目的主要目标是检验以下假设：衰老与锻炼和生活方式活动的代谢成本差异有关。我们将使用便携式间接热量计评估 210 名 20 至 80 岁以上成年人在进行 38 项日常活动时的肺部气体交换。我们将检查代谢当量（MET 作为 3.5 毫升“min-1”kg-1 的函数）、代谢经济性（给定工作速率下消耗的能量）和相对代谢成本（作为静息和峰值耗氧量的函数）每个任务作为年龄的函数。其次，我们将通过测试另外 90 名患有功能障碍的老年人（60 岁以上）来解决日常活动的代谢成本如何受到功能障碍的影响。第三，由于科学家和公共卫生官员都依靠基于感知的运动来监测身体活动的强度，因此我们将解决这个问题：“衰老是否与自我测量感知运动的不准确有关？”解决这个问题将深入了解更好的传递系统，以向老年人推荐身体强度。最后，所提出的设计和综合代谢测量将为验证加速度计以估计身体活动的类型和强度提供前所未有的机会。使用应用机器学习方法（随机森林、支持向量和多核学习技术）的新数学技术，我们将评估减少估计体力活动类型和强度的误差的潜力到传统方法。这项研究有许多最终产品。首先，这项工作将产生最大的 60 岁以上日常活动代谢成本数据集。其次，将创建代谢成本的年龄校正因子，以应用于与正在评估的任务类似的数百项任务。最后，这项工作将完善所需的工具可行地评估年轻人和老年人的身体活动。这些成就将直接影响流行病学、老年医学、康复和营养科学领域。