Living conditions as predictor of elderly residential satisfaction. A cross-European view by poverty status

居住条件作为老年人居住满意度的预测指标:基于贫困状况的欧洲视角

阅读:1

Abstract

Although there is an extensive body of literature on the use of residential satisfaction to measure the impact of housing conditions on well-being in later life, less is known about differences and similarities between sub-populations and national contexts. By means of a cross-European analysis (EU15), this study aims to examine how objective and subjective factors of living conditions shape the perceptions of older Europeans about the adequacy of their residential environment. Two patterns of housing quality are explored: (1) international heterogeneity of the EU15 countries, and (2) intra-national heterogeneity, where we distinguish between households at risk of poverty and those not at risk in the elderly population of these countries. Data were drawn from the 2007 wave of the European Union Statistics on Income and Living Conditions survey, providing a sample of more than 58,000 individuals aged 65 years and older. The housing characteristics surveyed were reduced using tetrachoric correlations in a principal component analysis. The resulting predictors, as well as control variables (including gender, age, health status and tenure), are assessed using multiple linear regression analysis to explore their association with a high or low level of residential satisfaction. Despite a generally positive assessment by older Europeans of their living space, major geographic and household income differences existed in the factors that explained residential satisfaction. Identifying factors associated with residential satisfaction in different household income groups and national contexts may facilitate the development of EU policies that attempt to make 'ageing in place' a viable and suitable option for older Europeans.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。