Volume 7, Issue 6 (2-2012)                   J Health Syst Res 2012, 7(6): 0-0 | Back to browse issues page

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آذر طل, غلامرضا شريفي‌راد, احمدعلي اسلامي, داود شجاعي‌زاده, فاطمه الحاني, محمدرضا مهاجري تهراني. تحلیل برخی عوامل پیش‌بینی کننده کیفیت زندگی در بیماران مبتلا به دیابت نوع 2. J Health Syst Res 2012; 7 (6)
URL: http://hsr.mui.ac.ir/article-1-334-en.html
1- PhD Candidate, Student Research Committee, Department of Health Education and Promotion, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
2- Professor, Department of Health Education and Promotion, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
3- Assistant Professor, Department of Health Education and Promotion, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
4- Professor, Department of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
5- Associate Professor, Department of Nursing, School of Medicine, Tarbiat Modaress University, Tehran, Iran.
6- Assistant Professor, Endocrinology, Tehran University of Medical Sciences, Tehran, Iran.
Abstract:   (1030 Views)
Background: According to chronicity of diabetes and its effect on quality of life, in this study, we aimed to determine some predicting factors of quality of life in patients with type 2 diabetes. Our findings would facilitate planning intervention programs in health promotion field.Methods: This cross-sectional study assessed some predicting factors of quality of life among 140 diabetic patients affiliated to an outpatient diabetic center in Isfahan (Iran) in 2011. The instrument for data collection was a multidimensional scale including sociodemographic and health-related data (12 items), diabetes distress (17 items), self-efficacy (8 items), and quality of life (15 items). The collected data was analyzed by statistical tests in SPSS11.5. Findings: Our findings showed that some variables such as diabetes distress (P < 0.001) and self-efficacy (P < 0.001) had statistically significant relations with quality of life. The predictive power (R2) was equal to 0.66 in this study. In the multivariate regression model adjusted for other factors, self-management was found to be affected by diabetes distress (β = -0.277; P = 0.01) and self-efficacy (β = 0.161; P < 0.001). Pearson's correlation coefficient revealed that diabetes distress had a linear and reverse with quality of life (r = -0.341; P < 0.001). On the other hand, self-efficacy had a linear and direct relationship with quality of life (r = 0.63; P < 0.001). Conclusion: This study proposed decreasing diabetes distress and enhancing self-efficacy as important factors in improving quality of life and planning interventional programs among patients with type 2 diabetes.
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Type of Study: Research | Subject: education health and promotion
Received: 2020/07/16 | Accepted: 2023/03/4 | Published: 2023/03/4

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