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Terminal change and adaptation of subjective well-being in very old age: The role of physical health and health- and death-related anxieties in the approach of the end of life

高龄主观幸福感的最终变化和适应：身体健康以及与健康和死亡相关的焦虑在生命终结中的作用

基本信息

批准号：
73500217
负责人：
Professor Dr. Oliver Karl Schilling
金额：
--
依托单位：
Arbeitsbereich Interdisziplinäre Alternswissenschaft
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2008
资助国家：
德国
起止时间：
2007-12-31 至 2011-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/73500217?language=en
关键词：
Terminal change adaptation subjective well

项目摘要

This project aims to contribute in-depth studies of the psychological consequences of degrading physical health in very old age, focussing on adaptation of subjective wellbeing (SWB). It addresses basic research gaps regarding findings on this particular age group and the consideration of the particular importance of mortality in such oldest-old study. The objectives are (1) to examine the impact of health constraints on changes in SWB in very old age, (2) to examine the impacts of contextual aspects of the physical environment, as well as (3) of health- and death-related anxieties on such adaptational changes, the latter objectives both addressing assumably fundamental aspects under oldest-old age conditions, which have hardly been considered in adaptation research. Following-up a previously generated sample of very old, the study serves to extend this existing data body into a enlarged longitudinal format, enabling in-depth analyses of adaptational and mortality-related changes by use of sophisticated longitudinal methodology (such as growth curve models, survival analyses). The suggested research aims to contribute to the lack of knowledge about extent, limits, and confounders of adaptation in the age group crucially affected by increasing morbidity risks.

该项目旨在深入研究老年人身体健康下降的心理后果，重点是主观幸福感(SWB)的适应。它解决了关于这一特定年龄段的研究结果的基本研究空白，并考虑到在这种最古老的研究中死亡率的特殊重要性。其目的是(1)考察健康制约对老年主观幸福感变化的影响，(2)考察物理环境的背景方面的影响，以及(3)与健康和死亡相关的焦虑对这种适应性变化的影响，后者的目标都是研究高龄条件下的基本方面，这些方面在适应研究中几乎没有考虑到。根据以前生成的非常古老的样本，这项研究旨在将现有的数据主体扩展为扩大的纵向格式，通过使用复杂的纵向方法(如增长曲线模型、生存分析)，深入分析适应性和与死亡相关的变化。建议的研究旨在帮助人们对受发病率风险增加严重影响的年龄组中适应的程度、限制和混杂因素缺乏了解。