>
Fa   |   Ar   |   En
   The Relationship Between Attributional Style and Mental Health in Diabetic Patients With Good and Poor Metabolic Control of Diabetes  
   
نویسنده Sohrabi Faramarz ,Sartipzadeh Dizaji Saloomeh
منبع مطالعات روانشناسي باليني - 2020 - دوره : 10 - شماره : 37 - صفحه:129 -146
چکیده    Introduction: diabetes is one of the common diseases which is increasingly rising in most countries and has wide range of complications ranging from physical to psychological problems. given the importance of this disease, this study aims to investigate the relationship between attributional style and mental health in diabetic patients with good and poor metabolic control of diabetes. the main research question was that “is there a relationship between attributional style and mental health in diabetic patients with good and poor metabolic control of diabetes?” methodology: the statistical population of the study included all diabetic patients were referred to medical centers of type2 diabetes in tehran among which 82 patients were randomly selected (n= 82). the research instruments were the general health questionnaire (ghq28) and the attributional style questionnaire (asq). data was determined based on gender, metabolic control of diabetes, level of education, and frequency. the correlation coefficient and multivariate analysis of variance (manova) were used to analyze the data. result: the results of the correlation coefficient indicated that in attribution style, internal dimension is a strong predictor for mental health in good metabolic control group and stable dimension in poor metabolic control group also is strong predictor for mental health. in addition, men had better mental health than women but no difference in attribution style was studied in comparison of both genders. conclusion: based on this research, changes in attribution style of patients can improve mental health of them.
کلیدواژه : Diabetes ,Poor And Good Blood Glucose Control ,Attribution Style ,Mental Health
آدرس Allameh Tabataba’I University, Iran, Islamic Azad University, Science And Research Branch, Iran
پست الکترونیکی ssartip2010@yahoo.com
 
   The Relationship between Attributional Style and Mental Health in Diabetic Patients with Good and Poor Metabolic Control of diabetes  
   
Authors Sohrabi Faramarz ,Sartipzadeh Dizaji Saloomeh
Abstract    Introduction: Diabetes is one of the common diseases which is increasingly rising in most countries and has wide range of complications ranging from physical to psychological problems. Given the importance of this disease, this study aims to investigate the relationship between attributional style and mental health in diabetic patients with good and poor metabolic control of diabetes. The main research question was that “Is there a relationship between attributional style and mental health in diabetic patients with good and poor metabolic control of diabetes?” Methodology: The statistical population of the study included all diabetic patients were referred to medical centers of type2 diabetes in Tehran among which 82 patients were randomly selected (n= 82). The research instruments were the General Health Questionnaire (GHQ28) and the Attributional Style Questionnaire (ASQ). Data was determined based on gender, metabolic control of diabetes, level of education, and frequency. The correlation coefficient and multivariate analysis of variance (MANOVA) were used to analyze the data. Result: The results of the correlation coefficient indicated that in attribution style, internal dimension is a strong predictor for mental health in good metabolic control group and stable dimension in poor metabolic control group also is strong predictor for mental health. In addition, Men had better mental health than women but no difference in attribution style was studied in comparison of both genders. Conclusion: Based on this research, changes in attribution style of patients can improve mental health of them.
Keywords : diabetes ,poor and good blood glucose control ,attribution style ,Mental Health
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved