prediction of self-care behavior based on hardiness, hope and dysfunction attitude among patients with type 2 diabetes

abstract aim and background: this study aims to predict self-care behavior based on the characteristics of hardiness , hope and dysfunctional attitudes in patients with type 2 diabetes. methods and materials: study design was a descriptive correlation method. the target population was all patients with diabetes type 2 who referred to isfahan endocrine and metabolism centers. the sample consisted of 120 patients. the multi-stage cluster sampling was used for the sample selection . the instrument employed in this research was self – care scale, hardiness questinnaire, hope scale and dysfunctional attitudes scale . the pearson correlation and multiple regression analysis with stepwise method were used to analyze the data. findings: analysis of the data showed that the only interaction between hope and dysfunctional attitudes have been able to predict self-care (r=0.191,p<0.05). but separately there is no relationship between hardiness , hope, dysfunctional attitudes and self-care. conclusions: interaction of dysfunctional attitudes and hope are able to predict self-care behavior. therefore, the program which modify dysfunctional attitude and enhance life expectancy seems to increase self-care behavior.