Volume 1, Issue 4 (1-2014)                   2014, 1(4): 16-25 | Back to browse issues page

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vazini H, Barati M. Predicting Factors Related to Self-care Behaviors among Type 2 Diabetic Patients based on Health Belief Model. Journal title 2014; 1 (4) :16-25
URL: http://jms.thums.ac.ir/article-1-70-en.html
1- Hamadan Branch, Islamic Azad University
2- Hamadan University of Medical Sciences
Abstract:   (15740 Views)

Background and Aim: Diabetes is a disease with long cardiovascular, renal, eye and neural complications. Management of the disease requires a certain degree of self-regulation. The aim of this study was to investigate the predicting factors related to self-care behaviors among type 2 diabetic patients based on Health Belief Model(HBM). 

 

Material and Methods: This cross-sectional study was carried out on 390 diabetic patients referred to Hamadan Diabetes Research Center who were recruited with a simple sampling method. The participants completed a self-administered questionnaire including demographic characteristics, self-care behaviors and HBM construct. Data was analyzed by SPSS-19 using coefficient correlation, T-Test, One-way ANOVA, liner regression.

 

Results: According to the results, Health model explained 29.6% of the variance in frequency of self-care behaviors. Perceived self-efficacy, perceived severity, perceived barrier and perceived susceptibility were the best significant predictors (P <0.05). Significant differences in average score of self-regulation behaviors in related to education level and family history in last care were seen (P <0.05).

 

Conclusion: These findings suggest that applying Health Belief Model would be an efficient tool for predicting self-care behaviors among diabetic patients. 

Full-Text [PDF 603 kb]   (4970 Downloads)    
Type of Study: Research | Subject: Special
Received: 2014/06/15 | Accepted: 2014/08/30 | Published: 2014/09/29

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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