DYNAMIC DETERMINANTS OF EXCEPTIONAL HEALTH AT LATE AGES

拟议研究的广泛的长期目标是评估年龄轨迹的作用， 生理指标以及其他因素作为老年人健康状况异常的决定因素， 结合不同纵向研究中收集的数据。具体目标：1.评估年龄的影响 所选生理指标中的每一个的轨迹，以及以Fragrance测量的其他因素 心脏研究（FHS）、Fragmentary Offspring研究（FHSO）和檀香山心脏研究（HHS）， 使用传统的统计方法对老年人的健康状况进行调查。评估风险因素影响的变化 随年龄2.建立数学和计算机模型，描述产生年龄动态的机制 包括它们的稳态调节和动态连接的可能性 健康成果。在FHS、HHS和FHSO数据分析中使用这些模型，以：a）评估年龄相关 在每一个选定的生理指标和他们的年龄的稳态调节系数的变化 在健康老龄化中的作用; B）评估每个指标在确定健康结果中的作用随年龄的变化。 3.评估一组选定的关节动力学特征的年龄相关变化， 生理指标，以及这些指标对健康结果影响的变化。评估年龄 “正常”或“最佳”生理状态的轨迹以及与其的可容忍偏差范围。 本研究目的是建立一套描述节理年龄动态的数学和计算机模型， 生理指标及其与健康结果的关系。将该模型应用于FHS、FHSO的分析 和卫生和公众服务部的数据，以解决上述问题。4.评估异常健康的动态决定因素 在FHS、FHSO和HHS数据的联合分析中，为此，开发兼容 描述一组选定生理指标的关节动力学的数学和计算机模型，以及 它们与三个选定数据集的健康结果的联系，并联合使用这些模型 分析这三个纵向数据集。评估动态决定因素的差异和相似性 参与数据联合分析的人群中的老年人的异常健康。评价贡献 FHS和FHSO联合分析中老年异常健康的遗传和非遗传因素 数据

The broad long-term objectives of the proposed research are evaluation of the role of age trajectories of physiological indices as well as other factors as determinants of exceptional health among the elderly, by combining data collected in different longitudinal studies. Specific aims: 1. Evaluate effects of age trajectories of each of the selected physiological indices, as well as other factors measured in Framingham Heart Study (FHS), Framingham Offspring Study (FHSO) and Honolulu Heart Study (HHS), on exceptional health among the elderly using traditional statistical methods. Evaluate changes in the effects of risk factors with age. 2. Develop mathematical and computer models describing mechanisms generating age dynamics of each physiological index including possibility of their homeostatic regulation and dynamic connection to health outcomes. Use these models in the analysis of FHS, HHS and FHSO data to: a) evaluate age related changes in coefficients of homeostatic regulation with age in each of selected physiological indices and their role in healthy aging; b) evaluate changes in the role of each index in determining health outcomes with age. 3. Evaluate age-related changes in characteristics determining joint dynamics of a set of selected physiological indices, as well as changes in effects of these indices on health outcomes. Evaluate age trajectories of "normal" or "optimal" physiological state as well as the range of tolerable deviations from it. For this purpose develop mathematical and computer model describing joint age dynamics of a set of physiological indices and its connection to health outcomes. Use this model in the analysis of FHS, FHSO and HHS data to address issues formulated above. 4. Evaluate dynamic determinants of exceptional health at late ages in the joint analysis of FHS, FHSO and HHS data. For this purpose develop compatible mathematical and computer models describing joint dynamics of a set of selected physiological indices and their connection to health outcomes for each of three selected data sets and use these models in joint analysis of these three longitudinal data sets. Evaluate differences and similarities in dynamic determinants of exceptional health at late ages in populations participating in joint analysis of data. Evaluate contribution of genetic and non-genetic factors in exceptional health at late ages in the joint analysis of FHS and FHSO data.