Notre Dame Study of Resiliency in Later Life

圣母大学对晚年生活弹性的研究

• 批准号: 7274131
• 负责人: Cindy S Bergeman
• 金额: $ 58.3万
• 依托单位: UNIVERSITY OF NOTRE DAME
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7274131
• 关键词: Accounting; Address; Affect; Aging; Behavioral; Biological; Class; Complex; Coupled; Daily; Data; Data Sources; Development; Dimensions; Drug Formulations; Elderly; Emotional; Event; Exhibits; Face; Growth; Health; Humor; Individual; Individual Differences; Intervention; Interview; Life; Linear Models; Link; Living Wills; Maintenance; Measurement; Measures; Meditation; Methodology; Modeling; Outcome; Participant; Pathway interactions; Perception; Personal Satisfaction; Play; Population; Prevalence; Process; Process Measure; Psychosocial Factor; Purpose; Recording of previous events; Recovery; Research; Research Design; Research Personnel; Resistance; Resistance Process; Resources; Role; Route; Shapes; Social Controls; Social support; Spirituality; Stress; Structure; Surveys; Systems Analysis; Techniques; Testing; Time; Variant; Well in self; base; day; design; diaries; disability; experience; innovation; life history; optimism; positive emotional state; programs; psychologic; resilience; satisfaction; social; theories

DESCRIPTION (provided by applicant): Although there is a good body of theoretical research to build new understanding, questions in aging research remain increasingly complex, intricate, and diverse. Comprehensive understanding of these pathways requires a broad integrative framework that addresses (a) the need for reliable and theory-driven measures of health and well-being, (b) the need for conceptual and empirical formulations of life challenges, (c) the need for study designs that link information at different levels of analysis, (d) the need for innovative statistical methodologies that are sensitive to complex dynamic changes, and (e) the need for strategies that integrate quantitative and qualitative sources of data. The proposed research is designed to collect such data through three mechanisms: (1) survey data-five waves collected on a yearly basis (collected on 300 subjects); (2) "data bursts"-daily diary data collected three times for a 56-day period (years 1, 3, and 5 on 300 subjects); and, (3) life story interview data collected twice (years 2 and 4) on 25 of the participants. Modeling processes of intraindividual variability and change can help to (a) reveal how long-term trajectories of gains and losses that are reasonably consistent across different individuals may differ dramatically within individuals (Aim 1); (b) elucidate how these complex trajectories of intraindividual changes are contoured by selective individual differences variables (Aim 2); (c) separate intraindividual differences in developmental growth from aspects of temporal phenomena that exhibit shorter-term variability over time (Aim 3); (d) demonstrate how dimensions of interindividual differences may be used to explain important, adaptive intraindividual processes (Aim 4); and (e) clarify, through the use of life stories (Aim 5), how individual development is embedded in multiple contexts (e.g., biological, familial, historical, social, and cultural). The results of the proposed research will provide an integrated model of resilience and well being in later life that will help inform intervention efforts to extend disability-free years to larger segments of the population.

描述（由申请人提供）：尽管有大量的理论研究可以建立新的理解，但衰老研究中的问题仍然越来越复杂、复杂和多样化。对这些途径的全面理解需要一个广泛的综合框架来解决（a）对健康和福祉的可靠和理论驱动的测量的需要，（b）对生活挑战的概念和经验表述的需要，（c）对于将不同分析层面的信息联系起来的研究设计，(d) 需要对复杂的动态变化敏感的创新统计方法，(e) 需要整合定量和定性数据源的战略。本研究旨在通过三种机制收集此类数据：（1）调查数据——每年收集五波数据（收集 300 名受试者）； (2)“数据爆发”——在 56 天的时间内收集 3 次每日日记数据（第 1 年、第 3 年和第 5 年，涉及 300 名受试者）； (3) 两次（第 2 年和第 4 年）收集 25 名参与者的生活故事访谈数据。个体内部差异和变化的建模过程可以帮助：（a）揭示不同个体之间合理一致的长期收益和损失轨迹在个体内部可能存在显着差异（目标 1）； (b) 阐明这些个体内部变化的复杂轨迹是如何通过选择性个体差异变量来勾勒出来的（目标 2）； (c) 将发育生长的个体差异与随着时间的推移表现出短期变异性的时间现象分开（目标 3）； (d) 展示如何使用个体间差异的维度来解释重要的、适应性的个体内过程（目标 4）； (e) 通过使用生活故事（目标 5）阐明个人发展如何融入多种背景（例如生物、家庭、历史、社会和文化）。拟议研究的结果将提供一个关于晚年生活的复原力和福祉的综合模型，这将有助于为干预措施提供信息，以将无残疾年限扩大到更多的人口群体。