Analyses of some relevant predictors on self-management of type 2 diabetic patients

ABSTRACT

Diabetes is a life threatening illness in both developed and developing countries. Self-management in diabetes is a process which facilitates adoption of self-management behaviors. This process includes need assessment, goals setting and life experiences of diabetic patients. The aim of this study was to determine some relevant factors on self-management among type 2 diabetic patients in order to facilitate planning intervention programs in health promotion field. This study was a cross sectional analysis which assessed some related factors of self-management as a predictor among 140 diabetic patients affiliated to an ambulatory health center in Isfahan in 2011. The tool of data collection was a multidimensional questionnaire included socio demographic and health characteristics [12 items], diabetes distress [17 items], self-efficacy [8 items], and self-management [35 items].Collected data was analyzed by SPSS software version 11.5 with using statistical tests. Findings showed that some variables such as age [p=0.004], duration of disease [p<0.001], sex [p=0.003], co morbidity [p=0.004], BMI [p=0.02], level of education; higher than diploma [p=0.02], medication treatment [p<0.001], health status [p<0.001], diabetes distress, [p<0.001] and self-efficacy [p<0.001] had significant relation with self-management. Predictors [R[2] = 46%]. Multivariate regression dedicated some variables such as age [6=-0.155, P=0.02], health status [6= 0.238, P=0.009], diabetes distress [6= -0.243, P=0.001], self-efficacy [6- 0.372, p<0.001] and BMI [6- - 0.17, P=0.01]. Adopting of self-management behaviors has significant reverse in relation to age, duration of disease, BMI, and diabetes distress. Meanwhile there was significant direct relation with health status and self-efficacy. Therefore, the best proposed regression model is decreasing diabetes distress and enhancing self-efficacy in order to plan intervention programs among type 2 diabetes patients