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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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نویسنده
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heidari ahmad ,arefi mokhtar ,amiri hasan
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منبع
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avicenna journal of neuro psycho physiology - 2019 - دوره : 6 - شماره : 2 - صفحه:91 -102
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چکیده
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Background: the aging population is undoubtedly an optimum success created by changes inmortality decline, as well as social and economic processes.objectives: the aim of this paper is to investigate the relationship between personality-basedpsychological well-being variables and the mediation of self-care, spiritual experiences, and deathanxiety.materials and methods: the statistical population of the present correlational study included allelderly 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 bythe systematic stratified random sampling method. ryff’s psychological well-being inventory, dailyspiritual experiences scale, and neo five-factor personality traits inventory were used to collect thedata. 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 variablesboth directly and indirectly had a significant relationship with psychological well-being throughspirituality and death anxiety.conclusion: the predictive model of elderly psychological well-being based on personality withthe mediation of self-care, spiritual experiences, and death anxiety has fitness.
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کلیدواژه
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personality disorder ,aged ,self-care ,anxiety
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آدرس
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islamic azad university, kermanshah branch, department of psychology and counseling, iran, islamic azad university, kermanshah branch, department of psychology and counseling, iran, islamic azad university, kermanshah branch, department of psychology and counseling, iran
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پست الکترونیکی
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ahasan.amiri@yahoo.com
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Authors
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