Prediction of Life Expectancy based on Quality of Life, Perceived Stress and Fatigue in Patients with Multiple Sclerosis (MS)

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective
Multiple Sclerosis (MS) is one of the chronic diseases in which physical and psychological disorders are very common among these patients.
Aim
The aim of this study was prediction of life expectancy based on quality of life, perceived stress and fatigue in multiple sclerosis (MS) patients.
Method
The method of study was correlation. The statistical population of this study was all members of the Association of Multiple Sclerosis (MS) Patients in the first half of the 1396 year that among the statistical population, 120 people were selected by simple random sampling method. The data gathering tool was questionnaires of Miller Hope Scale (MHS), Quality of Life (SF-36), Quality of Life (SF-36), Product-service systems (PSS) and Multidimensional Fatigue Inventory (MFI). Data were analyzed using statistical tests of correlation coefficient and multiple regression analysis with stepwise method.
Results
The results showed that quality of life had a significant positive correlation with the life expectancy of multiple sclerosis (MS) patients, but perceived stress and fatigue had a significant negative relationship with life expectancy in multiple sclerosis (MS) patients. Also the results showed that quality of life, perceived stress and fatigue was explained 39% of the total variance of multiple sclerosis (MS) patients that in the meanwhile, Perceived stress (Beta= - 0.34) had the greatest role in predicting the life expectancy of multiple sclerosis (MS) patients and after that, respectively, were fatigue (Beta= - 0.22) and quality of life (Beta= 0.20).
Conclusion
Considering the effect of quality of life, perceived stress and fatigue are suggested in the hope of life in patients with multiple sclerosis (MS), while treating drugs to improve the psychological health and increase their hope, quality education courses based on quality of life and Based on reducing stress for them.
Language:
Persian
Published:
Journal of Health Psychology, Volume:8 Issue: 29, 2019
Pages:
101 to 118
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