Volume 8, Issue 6 (2-2013)                   J Health Syst Res 2013, 8(6): 1068-1077 | Back to browse issues page

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Tol A, Majlessi F, Rahimi Foroshani A, Mohebbi B, Shojaeezadeh D, Salehi Node A. Cognitive Adaptation among Type II Diabetic Patients Referring to Tehran University of Medical Sciences Hospitals in Adherence to Treatment. J Health Syst Res 2013; 8 (6) :1068-1077
URL: http://hsr.mui.ac.ir/article-1-458-en.html
1- Department of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- Professor, Department of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3- Associate Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Assistant Professor, Department Cardiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
5- Professor, Department of Health Education and Promotion, School of Public Health Tehran University of Medical Sciences, Tehran, Iran
6- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
Abstract:   (960 Views)
Background: Type II diabetes is the most prevalent disease with numerous complications. Adherence to treatment is an effective role on promoting health outcomes. This study aimed to assess the cognitive adaptation in treatment adherence and its relative factors in coping with disease among type II diabetic patients. Methods: This was a cross-sectional study which was conducted in 2012. Study population composed of 480 type II diabetic patients which were selected through convenience sampling method. In this study, the questionnaire included some socio-demographic and economic data and cognitive adaptation scale was also employed. All the items were scored on a scale of 1 to 5. SPSS software was employed and chi-square test and logistic model were used. Findings: Findings revealed that sex (P = 0.001), marital status (P < 0.001), disease duration (P < 0.001), occupation (P < 0.001), diabetes history (P = 0.001), age group (P < 0.001), annual income (P < 0.001), comorbidity (P = 0.002) and hemoglobin A1c (P < 0.001) had a statistically significant relationship with cognitive adaptation score. Logistic regression model showed that age, marital status, annual income, diabetes history, comorbidity, disease duration and hemoglobin A1c had a significant relationship with adaptation in type II diabetes disease. Conclusion: According to the effects of socio-demographic and clinical factors in cognitive adaptation in treatment adherence in type II diabetes, educational intervention is necessary using health education and promotion focusing on cognitive adaptation theory.
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Type of Study: Research | Subject: education health and promotion
Received: 2020/07/16 | Accepted: 2013/02/15 | Published: 2013/02/15

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