Metabolic Costs of Daily Activities in Older Adults

老年人日常活动的代谢成本

• 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
• 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

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(申请人提供)：美国人将超过90%的与运动相关的能量支出用于日常活动。卫生保健专业人员使用标准数据作为指南，为患者和客户开出适当的活动处方。此外，科学家利用这一资源来计划体力活动或营养干预，并将这些估计应用于流行病学研究。然而，尽管标准数据已经存在了20多年，在年轻人中似乎是准确的，但它们可能导致对老年人日常活动的代谢成本的错误估计。这不是一个微不足道的问题，因为体力活动是唯一已知的改善老年人身体机能的方式之一，在调节体重方面发挥着关键作用。然而，关于日常活动代谢成本中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增加的人群适当地开出体力活动处方方面留下了一个重大的知识缺口。这个项目的主要目标是测试这一假设，即衰老与锻炼和生活方式活动的新陈代谢成本的差异有关。我们将使用便携式间接量热计评估210名年龄在20岁至80岁以上的成年人的肺气体交换，同时进行38项日常活动。我们将研究每项任务的代谢当量(MET作为3.5毫升“min-1”kg-1的函数)、代谢经济性(在给定工作速率下消耗的能量)以及作为年龄函数的相对代谢成本(作为休息和最大耗氧量的函数)。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赖基于感知的运动来监测体力活动的强度，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？”解决这个问题将获得对向老年人推荐体力强度的更好交付系统的洞察。最后，拟议的设计和全面的新陈代谢测量将提供一个前所未有的机会来验证加速计，以估计体力活动的类型和强度。使用应用机器学习方法的新数学技术(随机森林、支持向量和多核学习技术)，我们将评估减少估计体力活动类型和强度的误差的潜力 到传统的方法。这项研究的最终成果有很多。首先，这项工作将产生60岁以上日常活动代谢成本的最大数据集。其次，将创建代谢成本的年龄修正系数，以适用于数百项与正在评估的任务属于类似类别的任务。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体力活动。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。