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Diabetes Research and Treatment

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Original Research Vol. 1, Issue 1 (2014)

Knowledge on Own Disease and Self-Management in Patients with Type 2 Diabetes in the Swedish Town of Sodertalje

Taloyan Marina*and Wandell Per
Corresponding Author: Taloyan Marina
Received: Jul 28, 2014
Accepted: Sep 09, 2014
Published: Sep 13, 2014
Views: 11
DOI: N/A

Abstract

Aim: To investigate the ethnic differences in knowledge on own diabetes disease and self management in Assyrian/Syrian-born and Swedishborn patients in Swedish town. 

Methods: This cross-sectional, questionnaire based study was conducted at four Primary Health Care Centers in the Swedish town of Sodertalje. A total of 304 persons (167 ethnic Assyrians/Syrians and 137 ethnic Swedes) participated. Unconditional logistic regression was used to analyse the association between low knowledge level, ethnicity and all other explanatory variables.

Results: The total prevalence of low knowledge on own disease was 35.6%, with significant ethnic differences, 53.2% among Assyrian/Syrians vs. 17.8% among Swedish-born. In the final model, regardless of adjustment for explanatory variables, the odds ratio (OR) for low knowledge in Assyrian Syrian-born patients was more than seven times higher than in Swedish-born patients, OR 7.4 (95% CI 3.83–14.50). For those on dietary treatment only, the adjusted OR for having low knowledge compared to those on pharmacological treatment was 1.9 (95% CI 1.00–3.83), while patients   diagnosed after 60 years of age  showed lower 
odds ratio for poor knowledge, adjusted OR 0.34. 

Conclusion: Assyrian/Syrians showed significantly lower knowledge on diabetes, which could affect self-care and metabolic control, with increased risk of complications and lower quality of life. 

 

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Taloyan Marina (2014), Knowledge on Own Disease and Self-Management in Patients with Type 2 Diabetes in the Swedish Town of Sodertalje. Diabetes Res Treat Open Access 1:104
Copyright: Copyright: © 2014 DRTOA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, Version 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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