PREDICTION OF SELF-CARE BEHAVIORS BASED ON SELFCOMPASSION AND HEALTH LOCUS OF CONTROL AMONG DIABETIC PATIENTS

Diabetes is one of the diseases in which the self-care aspect is important.
Therefore, it is important to identify the factors that improve self-care behaviors in diabetic patients.
The aim of this study was to predict self-care behaviors based on self-compassion and health locus of
control in patients with diabetes.
Materials & Methods: The method of this study was descriptive and correctional. The sample size of
this study included 200 diabetic patients referred to Taleghani Hospital in Tehran. Diabetes self-care
questionnaire, self-compassion questionnaire, and health locus of control questionnaire were used for
data collection. Multiple regression was used to analyze the data. Data were analyzed with SPSS
software version 22.
Results: The results showed that self-care behaviors of diabetic patients can be predicted by the linear
combination of predictor variables. Multiple regression was used to investigate the predictive role of
the components of health locus of control and self-compassion. Based on the results of the regression
model, a significant model (F = 789.5 p <0.01) was obtained that was able to predict 17.8% of the
changes in self-care.
Conclusion: People's beliefs in how much they can control their phenomena and problems, as well as
adopting a self-compassionate approach to life's problems can predict self-care behaviors