نویسندگان
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Background and Objective: self-care in diabetes causes promotion of quality of life and decreases the number of inpatient cases. Continuously following them Acute and chronic complications of the disease can be prevented. Regarding high prevalence of The disease in Yazd, research about it in diabetic patients is necessary. Path analysis is an exact statistical method used for determining the best causative model of variables. So this paper is proposed with the aim of application of regression based path analysis for determination of the best model of diabetes self-care determinants, using Extended Health Belief Model constructs. Materials and Methods: This analytical, cross-sectional study carried out on 120 diabetic patients referred to Yazd diabetes research centre, who entered in the study in a convenient sample method. A questionnaire was completed for data collection Through an interview, Having extended health belief model constructs including benefits, barriers, severity, susceptibility, self-efficacy, social support, perceived metabolic control and origin of control and some demographic variables. The validity and reliability of the questionnaire was examined and approved. Results: Self efficacy, severity×susceptibility and net benefits had direct effects on self-care behaviors with self efficacy having the most powerful effect. Chance locus of control and social support had indirect effects on self-care behaviors through net benefits. Also net benefits and internal locus of control had an indirect effect on behaviors through self efficacy. Conclusion: Extended health belief model could be used as a framework for designing educational interventions for diabetics self-care promotion but among the constructs of the model, self-efficacy, net benefits and severity × susceptibility have the highest direct effects Thereafter chance and internal locus of control and social support are important and must Receive more attention.
کلیدواژهها [English]
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