مجله رویش روا‌ن‌شناسی از دادن گواهی‌های کاغذی معذور است. لطفا تقاضا نکنید. همه گواهی ها در صفحه شخصی کاربران موجود است.

year 7, Issue 11 (winter 2019 2019)                   Rooyesh 2019, 7(11): 231-246 | Back to browse issues page

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Sadri Damirchi E, Samadi Fard H R. The role of religious belief, perception of social interaction and spiritual well-being in the Prediction of fear and anxiety of death in elderly. Rooyesh 2019; 7 (11) :231-246
URL: http://frooyesh.ir/article-1-502-en.html
1- Mohaghegh Ardabili Uni. , araz_sadri@yahoo.com
2- Mohaghegh Ardabili Uni.
Abstract:   (2680 Views)

Background: This study aimed to investigate the role of religious belief, the perception of social interaction and spiritual well-being in the Prediction of fear and anxiety of death in the elderly. Method: The execution method was a descriptive and correlative study. The statistical population of this study included all the elderly of Ardabil in 2016, which 110 elderly were selected as the analytical sample using the convenience sampling. For data collection, the religious belief scale, perception of social interaction scale, spiritual well-being scale and death anxiety scale. Research data were analyzed Pearson correlation coefficient and multiple regression methods. Findings: The study results showed AnchorAnchorAnchorthere is that AnchorAnchorAnchorAnchora significant negative relationship exists between religious belief and perception of social interaction with death anxiety and (P<0.05). Also, there is that a significant negative relationship exists between spiritual well-being with death anxiety (P<0.05). Beta coefficients for predictor variables indicated the religious belief (religion -0/32), the perception of social interaction -0/29 and spiritual well-being -0/27 have the significant predictive capability of death anxiety (P<0.05). Conclusion: Thus, it can be concluded that religious belief, the perception of social interaction and spiritual well-being are considered as the variables related to death anxiety and have the predictive capability of it.

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Type of Article: Applicable |
Received: 2016/10/17 | Revised: 2019/02/17 | Accepted: 2016/12/13 | ePublished: 2019/02/15

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