Investigating Sedentary Time In Aging: New Directions Using Technology (iSTAND)

研究久坐时间对衰老的影响：利用技术的新方向 (iSTAND)

• 批准号: 8919443
• 负责人: Dori E Rosenberg
• 金额: $ 14.01万
• 依托单位: KAISER FOUNDATION HEALTH PLAN OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8919443
• 关键词: Address; Adherence; Adult; Age; Aging; Algorithms; Area; Award; Behavior; Behavior Therapy; Behavioral; Bioinformatics; Biological Markers; Blood Pressure; Cardiovascular Diseases; Cellular Phone; Chronic; Data; Data Sources; Development; Devices; Diabetes Mellitus; Elderly; Energy Metabolism; Evaluation Studies; Feedback; Focus Groups; Funding; Future; Geriatrics; Glucose; Health; Health Benefit; Hour; Integrated Health Care Systems; Intervention; Intervention Studies; K-Series Research Career Programs; Knowledge; Lead; Life; Lipids; Machine Learning; Measurement; Measures; Mentors; Mentorship; Metabolic; Methods; Monitor; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Participant; Patient Self-Report; Pattern; Physical Function; Physical activity; Pilot Projects; Population; Positioning Attribute; Posture; Preparation; Research; Risk; Risk Factors; Sampling; Scientist; Source; Techniques; Technology; Testing; Time; Training; Vulnerable Populations; Wireless Technology; Women' s Health; Work; Youth; age group; base; behavior change; cardiometabolic risk; career; cohort; computerized data processing; effective intervention; experience; frailty; group intervention; healthy aging; improved; innovation; innovative technologies; light intensity; mortality; multidisciplinary; new technology; novel; older women; patient oriented research; population based; programs; satisfaction; sedentary; skills; statistics; symposium; temporal measurement; time use; tool; tv watching

DESCRIPTION (provided by applicant): Older adults spend over 8 hours per day sitting, more than any other age group. High sedentary time has now been associated with adverse health impacts (e.g. diabetes, cardiovascular disease related mortality) independent from physical activity. This suggests that research explicitly focusing on sedentary behavior is warranted. To further the field of sedentary behavior research among older adults with obesity, diabetes, and cardiovascular disease, three gaps will be addressed: 1) improving measures of sedentary time using advanced technology-based methods (due to limitations of self-reports and traditional accelerometer data processing techniques); 2) understanding relationships between sedentary time and cardio-metabolic biomarkers and health conditions; and, 3) developing technology-based interventions to reduce sedentary time. The iSTAND (Investigating Sedentary Time in Aging: New Directions using technology) Project aims to address these gaps using data from 3 rich sources (Successful Aging Evaluation [SAGE] Study, the Women's Health Initiative [WHI] Long Life Study, and a participant pool from a large integrated health care system). In the first research aim, objective measurement techniques for sedentary time (e.g. accelerometers, SenseCam, machine learning algorithms) are explored (Aim 1a), and machine learning algorithms for accelerometer data are applied to the WHI sample to examine relationships between sedentary time and health risk factors among older women (Aim 1b). In Aim 2, focus groups will be conducted to inform development of a technology-based sedentary time reduction program targeting older adults with obesity, diabetes, and/or cardiovascular disease. In a pilot intervention, the feasibility and acceptability of the intervention will be tested in 40 older aduls with obesity, diabetes, and/or cardiovascular disease from a large integrated health care system. The research plans dovetail with training plans for Dr. Rosenberg to obtain necessary skills and knowledge in 2 key areas where she has deficits: 1) wireless technologies to measure sedentary time more accurately, and, 2) application of wireless technologies to sedentary time reduction interventions among older adults. The project will be guided by a multidisciplinary team of expert mentors (bioinformatics, technology and measurement, geriatrics, statistics) and knowledge obtained through training experiences, coursework, and conferences. Support from this 4-year patient-oriented research career development award will position Dr. Rosenberg to lead an independent research program in using technology decrease sedentary time among older adults with chronic health conditions.

描述（由申请人提供）：老年人每天坐着8个小时以上，比其他任何年龄段的人都多。现在，高久坐时间与健康影响（例如糖尿病，心血管疾病相关死亡率）与身体活动无关。这表明有必要明确关注久坐行为的研究。为了进一步肥胖，糖尿病和心血管疾病的老年人久坐行为研究领域，将解决三个差距：1）使用基于先进的基于技术的方法（由于自我报告的限制和传统的加速度计数据处理技术，改善久坐时间的度量）； 2）了解久坐时间与心甲替代生物标志物与健康状况之间的关系； 3）制定基于技术的干预措施以减少久坐时间。伊斯坦（调查衰老的久坐时间：使用技术的新方向）旨在使用来自3个丰富来源的数据（成功的老化评估[SAGE]研究，妇女健康计划[Whi Whi] Long Life研究以及来自大型综合保健系统的参与者池）来解决这些差距）。在第一个研究目的中，探索了久坐时间的客观测量技术（例如加速度计，Sensecam，机器学习算法）（AIM 1A），并将用于加速计数据的机器学习算法应用于WHI样本，以检查whi样本以检查老年妇女之间久坐时间和健康风险因素之间的关系（AIM 1B）。在AIM 2中，将进行焦点小组，以告知针对肥胖，糖尿病和/或心血管疾病的老年人的基于技术的久坐时间减少计划。在试点干预中，将在40个较大的肥胖，糖尿病和/或心血管疾病的较大的Aduls中测试干预措施的可行性和可接受性。该研究计划与罗森伯格博士的培训计划相吻合，以在她患有赤字的两个关键领域获得必要的技能和知识：1）无线技术以更准确地测量久坐时间，以及2）将无线技术应用于老年人的久坐时间减少时间缩短干预措施。该项目将由多学科的专家导师团队（生物信息学，技术和测量，老年医学，统计学）和通过培训经验，课程工作和会议获得的知识进行指导。这个4年以患者为导向的研究职业发展奖的支持将使Rosenberg博士领导一项独立研究计划，以减少患有慢性健康状况的老年人的久坐时间。