Title of article :
The Predictive Model of Elderly Psychological Well-being Based on Personality With the Mediation of Self-care, Spiritual Experiences, and Death Anxiety
Author/Authors :
Heidari, Ahmad Department of Psychology and Counseling - Kermanshah Branch - Islamic Azad University , Arefi, Mokhtar Department of Psychology and Counseling - Kermanshah Branch - Islamic Azad University , Amiri, Hasan Department of Psychology and Counseling - Kermanshah Branch - Islamic Azad University
Pages :
12
From page :
91
To page :
102
Abstract :
Background: The aging population is undoubtedly an optimum success created by changes in mortality decline, as well as social and economic processes. Objectives: The aim of this paper is to investigate the relationship between personality-based psychological well-being variables and the mediation of self-care, spiritual experiences, and death anxiety. 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. Results: Personality variables (five-factor) predicted psychological well-being. Personality variables both directly and indirectly had a significant relationship with psychological well-being through spirituality and death anxiety. Conclusion: The predictive model of elderly psychological well-being based on personality with the mediation of self-care, spiritual experiences, and death anxiety has fitness.
Keywords :
Personality disorder , Aged , Self-care , Anxiety
Journal title :
Avicenna Journal of Neuro Psycho Physiology
Serial Year :
2019
Record number :
2499562
Link To Document :
بازگشت