Volume 13, Issue 1 (4-2018)                   sija 2018, 13(1): 98-109 | Back to browse issues page


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Moatamedy A, Borjali A, Sadeqpur M. Prediction of Psychological Well-Being of the Elderly Based on the Power of Stress Management and Social Support. sija. 2018; 13 (1) :98-109
URL: http://salmandj.uswr.ac.ir/article-1-1299-en.html
1- Department of Psychology, Faculty of Psychology & Education, Allameh Tabataba’i University, Tehran, Iran.
2- MSc. Student Department of Psychology, Faculty of Psychology & Education, Allameh Tabataba’i University, Tehran, Iran. , sadeqpur931@atu.ac.ir
Abstract:   (1355 Views)

Objectives Owing to the fact that interpersonal bonds of social support can improve health under stressful situations, social support can have a protective and moderating role against the harmful effects of stress. The present research aims to predict the relationship between psychological well-being and the ability to manage stress and social support. 
Methods & Materials This descriptive-analytic research is correlational and is done through the sectional method. The society includes all the elderly living in Tehran (60 years and older), and the sample was selected among the old people who appeared in parks during May and June, 2016 in district 8 in Tehran. The sample size is determined using Cochran formula (n=131 people). In this research, the short form of Rif psychological well-being scale (1989), Kalzbyk stress management scale (1990), and Philips social support scale (1977) have been applied. The data analysis was performed through multiple regressions.
Results The results show that social support and stress management with t=2.23 and t=4.79, respectively, on level Beta=0.05 will predict psychological well-being.
Conclusion The results showed that social support and stress management variables can predict psychological well-being variable among the elderly. Therefore, the use of active coping styles is recommended.

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Type of Study: Research | Subject: Psychology
Received: 2017/09/28 | Accepted: 2018/02/11 | Published: 2018/04/01

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