New Methods of Studying Aging, Health and Longevity: Combining Longitudinal Data

研究衰老、健康和长寿的新方法：结合纵向数据

• 批准号: 7916647
• 负责人: ANATOLIY I YASHIN
• 金额: $ 38.94万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7916647
• 关键词: Accounting; Address; Age; Aging; Algorithms; Behavioral; Categories; Cessation of life; Characteristics; Computer Simulation; Data; Data Analyses; Data Collection; Data Set; Dependence; Education; Elderly; Ensure; Evaluation; Event; Framingham Heart Study; Health; Health Status; Heart Diseases; Heterogeneity; Human; Incidence; Individual; Investigation; Joints; Longevity; Longitudinal Studies; Malignant Neoplasms; Measurement; Methods; Modeling; Normal Range; Onset of illness; Personal Satisfaction; Physiological; Population; Prevalence; Preventive Intervention; Procedures; Property; Public Health; Questionnaires; Recording of previous events; Records; Research; Resistance; Risk; Risk Factors; Role; Sample Size; Shapes; Simulate; Smoking; Statistical Data Interpretation; Statistical Methods; Stress; Structure; Surveys; System; Techniques; Testing; Time; age related; allostatic load; base; design; disorder risk; drinking; improved; indexing; longitudinal analysis; mortality; public health relevance; response; tool; Accounting; Address; Age; Aging; Algorithms; Behavioral; Categories; Cessation of life; Characteristics; Computer Simulation; Data; Data Analyses; Data Collection; Data Set; Dependence; Education; Elderly; Ensure; Evaluation; Event; Framingham Heart Study; Health; Health Status; Heart Diseases; Heterogeneity; Human; Incidence; Individual; Investigation; Joints; Longevity; Longitudinal Studies; Malignant Neoplasms; Measurement; Methods; Modeling; Normal Range; Onset of illness; Personal Satisfaction; Physiological; Population; Prevalence; Preventive Intervention; Procedures; Property; Public Health; Questionnaires; Recording of previous events; Records; Research; Resistance; Risk; Risk Factors; Role; Sample Size; Shapes; Simulate; Smoking; Statistical Data Interpretation; Statistical Methods; Stress; Structure; Surveys; System; Techniques; Testing; Time; age related; allostatic load; base; design; disorder risk; drinking; improved; indexing; longitudinal analysis; mortality; public health relevance; response; tool

DESCRIPTION (provided by applicant): The broad, long-term objective of the project is to elaborate an approach for a comprehensive analysis of health-related changes in aging individuals by developing tools for integration of distinct types of longitudinal data and elaboration of techniques for incorporation of the biologically-motivated information on aging associated changes into the developed models. The key idea of this approach is to perform joint statistical analyses of data collected using different observational plans. The analyses will be based on comprehensive mathematical and computer models describing joint age related changes in physiological state and health/well-being/survival status. To elaborate such models and methods the following specific aims will be addressed. 1) Elaborate advanced models of health, mortality and aging capable of describing individual physiological histories and their effects on risk of disease and death. Incorporate in these models the ability to describe the range of "normal" values of physiological indices specific for a given age. Generalize these models extending them to investigate the problem of dependent competing risks and apply them to data on physiological and health/well-being changes. 2) Elaborate methods and respective mathematical and computer models for investigation of effects of hidden heterogeneity in the rate of decline in stress resistance on the shape of the risks of disease and death considered as functions of risk factors. 3) Incorporate finite-state continuous-time component describing major changes in individual's health/well- being status into the elaborated models. PUBLIC HEALTH RELEVANCE: The proposed analysis is directly relevant to public health issues since it is specifically designed to develop models with increased accuracy of parameter estimates for improving quality of individualized and population-wide predictions of health/well-being/survival status of the elderly individuals as well as for evaluating the effect of possible health/well-being preventive interventions.

描述（由申请人提供）：该项目的广泛，长期目标是通过开发与整合不同类型的纵向数据的工具，并详细说明对衰老的技术的整合，并阐述与生物学动机有关衰老相关的变化中的生物动机信息，以全面分析与健康相关的人的健康相关变化。这种方法的关键思想是对使用不同观察计划收集的数据进行联合统计分析。分析将基于描述生理状态和健康/福祉/生存状况的关节年龄相关的全面数学和计算机模型。为了详细说明此类模型和方法，将解决以下特定目标。 1）详细的健康，死亡率和衰老的高级模型，能够描述个体的生理历史及其对疾病和死亡风险的影响。在这些模型中纳入了描述特定于给定年龄的生理指标“正常”值范围的能力。概括这些模型将它们扩展到研究依赖竞争风险的问题，并将其应用于有关生理和健康/福祉变化的数据。 2）详细的方法以及各自的数学和计算机模型，用于研究隐藏异质性在压力抗性率下降速度对疾病风险和死亡风险形状下降速度的影响，被认为是危险因素的功能。 3）结合有限国家的连续时间组件，描述个人健康/福祉状态的重大变化。公共卫生相关性：拟议的分析与公共卫生问题直接相关，因为它是专门设计的，旨在开发具有参数估算准确性的模型，以提高老年人的健康/福祉/福祉/福祉/生存状况的质量，以及评估可能的健康/福祉预防性预防干预措施的效果。