The Predictive Model of Elderly Psychological Well-being Based on Personality With the Mediation of Self-care, Spiritual Experiences, and Death Anxiety
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引用次数: 3
Abstract
Materials and Methods: The statistical population of the present correlational study included all elderly individuals, who were being taken care of in private and public centers in Tehran, Iran, from 2017 to 2018. A total of 300 elderly people (76 males and 224 females) were selected by the systematic stratified random sampling method. Ryff’s psychological well-being inventory, daily spiritual experiences scale, and NEO five-factor personality traits inventory were used to collect the data. The data were analyzed by SPSS V. 22 and Amos 22, using multiple regression, path analysis, and structural equation modeling.
材料与方法:本相关研究的统计人群包括2017年至2018年在伊朗德黑兰私人和公共中心接受照顾的所有老年人。采用系统分层随机抽样的方法,抽取老年人300人,其中男性76人,女性224人。采用Ryff心理健康量表、日常精神体验量表和NEO五因素人格特质量表收集数据。采用SPSS V. 22和Amos 22软件对数据进行多元回归、通径分析和结构方程建模。