Physical Activity Calibration in Individuals with Movement Limitations

运动受限个体的体力活动校准

基本信息

批准号：
8749880
负责人：
SCOTT J STRATH
金额：
$ 20.44万
依托单位：
UNIVERSITY OF WISCONSIN MILWAUKEE
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-07-15 至 2016-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8749880
关键词：
Acceleration Activities of Daily Living Address Adult Affect Algorithms Ankle Arthritis Attention Behavior Bilateral Calibration Categories Clinical assessments Cluster Analysis Communities Complex Data Data Collection Decision Trees Development Disabled Persons Disease Dose Effectiveness Evaluation Evolution Foundations Goals Health Hip region structure Impairment Individual Intervention Knowledge Laboratories Learning Life Limb structure Linear Regressions Lower Extremity Machine Learning Measures Medical Care Costs Metabolic Methods Metric Modeling Monitor Morbidity - disease rate Motion Motor Movement Movement Disorders Multiple Sclerosis Parkinson Disease Patients Pattern Persons Physical activity Population Population Heterogeneity Prevalence Process Protocols documentation Publications Qualifying Quality of life Research Stroke Techniques Testing Time Translating Upper Extremity Work Wrist age related base cost disability disabling disease improved innovation knowledge base named group prevent public health relevance response sensor

项目摘要

DESCRIPTION (provided by applicant): One in five adults in the U.S. are thought to be living with a disability, a complex and multifaceted condition affecting physical movement patterns. Medical care costs related to disability in the US exceed $300 billion annually. Regular physical activity (PA) represents an important modifiable behavior to improve the overall health of these disabled groups and to realize their movement potential. Substantial progress has been made in developing and testing wearable monitor calibrations to predict physical activity (PA) level and type. However, little scientific attention has been given to develop methods to assess PA in disabled populations. The aims of this application focus on filling this scientific knowledge gap. Specific Aim 1) To measure impairment and function to provide a movement disorder analysis of: a) no movement limitation; b) upper extremity limitation; c) lower extremity limitation, or d) both upper and lower extremity limitation. Specific Aim 2) To measure bilateral wrist, hip, and ankle acceleration to conditionally model metabolic cost and activity type estimates. Our highly qualified research team will address the above aims by first carrying out a multitude of advanced upper and lower body strength, coordination, and functional motor tasks to isolate key impairment and function limitations across a diverse population with movement pattern differences. Then using an unsupervised learning and cluster analysis approach we will use these data to evaluate a fast, convenient, and simple metric to categorize functional movement pattern differences. We will assess criterion energy cost and multiple hip and limb acceleration during an extensive battery of activities of daily living, to guide the development of single or combined wearable motion sensor algorithms across categories of functional movement groups using advanced analytical techniques. The results of these proposed studies will for the first time provide an innovative and translatable approach to both categorize and assess PA in persons with movement limitations. This will present the foundation to evaluate a decision-tree approach to guide both monitor placement and algorithm choice to assess PA in diverse populations. Ultimately, our work will provide the potential to precisely and accurately assess PA prevalence rates, effectiveness of behavior-based PA interventions, and PA dose-response relationships to prevent and manage disabling conditions.

描述（由申请人提供）：美国五分之一的成年人被认为是残疾人，一种复杂而多方面的疾病，影响了身体运动模式。与美国残疾有关的医疗费用每年超过3000亿美元。定期体育锻炼（PA）代表了一种重要的可修改行为，可以改善这些残疾人组的整体健康状况并实现其运动潜力。在开发和测试可穿戴监视器校准以预测体育活动（PA）水平和类型方面取得了重大进展。但是，很少有人注意开发用于评估残疾人群中PA的方法。该应用程序的目的是填补这一科学知识差距。特定目的1）衡量障碍和功能，以提供运动障碍分析：a）无运动限制； b）上肢限制； c）下肢限制，或d）上肢和下肢限制。特定目的2）测量双侧手腕，臀部和踝关节加速度以有条件地对代谢成本和活动类型估计进行建模。我们高素质的研究团队将通过首先执行多种高级上半身和下半身的力量，协调和功能运动任务来解决上述目标，以隔离具有运动模式差异的多样化人群的关键障碍和功能限制。然后，使用无监督的学习和聚类分析方法，我们将使用这些数据来评估快速，方便且简单的指标来分类功能运动模式差异。我们将在大量的日常生活活动中评估标准能量成本以及多个髋关节和肢体加速度，以指导使用先进的分析技术跨功能运动组的单一或合并可穿戴运动传感器算法的开发。这些提出的研究的结果首次将提供一种创新且可翻译的方法，以对具有运动限制的人进行分类和评估PA。这将奠定基础，以评估一种决策树方法，以指导监视放置和算法选择以评估不同人群中的PA。最终，我们的工作将为精确，准确地评估PA的患病率，基于行为的PA干预措施的有效性以及PA剂量反应关系提供潜力，以预防和管理残疾条件。