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Investigating Psychological Variables As Predictors of Treatment Adherence and Quality of Life in Hemodialysis Patients



Davoudi I1 ; Honarmand MM1 ; Shirvanian E1 ; Bagheriansararoudi R2
Authors
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Authors Affiliations
  1. 1. Department of Psychology, Faculty of Educational Sciences and Psychology, Shahid Chamran University, Ahvaz, Iran
  2. 2. Department of Psychiatry, Behavioral Sciences Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Mazandaran University of Medical Sciences Published:2012

Abstract

Background and purpose: This study investigates variables such as illness perception, depression, anxiety, stress coping strategies and perceived social support as predictors of treatment adherence and health related quality of life in hemodialysis patients in city of Isfahan. Materials and methods: In the cross-sectional study, 200 end stage renal disease patients selected by convenience sampling. Brief-Illness Perception Questionnaire, Hospital Anxiety and Depression Scale, Multidimensional Scale for Perceived Social Support, Coping Inventory for Stressful Situations were used to collect the data. Objective and subjective assessments were used to evaluate treatment compliance. Also, canonical correlation analysis was applied to interpret the data. Results: Findings from canonical correlation analysis showed that a linear combination of adherence and quality of life for renal patients is predictable by linear combination of psychological factors. So a pattern of high scores treatment adherence (subjective index) and quality of life is correlated with a pattern of low scores on the perceived consequences of illness, anxiety, emotional representations, nature of the illness, depression, anxiety and emotion-focused coping style and also with a pattern of high scores on social support and problem-focused coping style. Conclusion: Results of this study showed that psychological variables in hemodialysis patients can predict adherence and especially health related quality of life. Also, they determine considerable variance of survival index. © 2012, Mazandaran University of Medical Sciences. All rights reserved.
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