Background: Although the importance of educational programs in the prevention and control of diabetes mellitus (DM) and its complication is well-recognized, there are concerns about whether these programs are achieving the desired goal of increasing knowledge of DM and its complication in developing countries. Therefore, this study assessed knowledge of DM complications and associated factors among type-2 diabetic patients in public hospitals of Addis Ababa.
Method: Simple random sampling technique was used to select 422 participants. Data were entered to EpiData Version 4.6.0.1 and analyzed using SPSS Version 25 software. Multicollinearity and model goodness-of-fit was checked. A multivariate logistic regression model at 95% CI was used to identify the predictors.
Result: The overall knowledge of diabetes complications among diabetic patients in the Hospitals of Addis Ababa was 54.9%. In the fitted model, being a profession of governmental workers [adjusted odds ratio (AOR) = 3.12, 95% CI (1.33, 7.34)] and merchants [AOR = 2.54, 95% CI (1.16, 5.56)]; DM duration 5-10 years [AOR = 0.41, 95% CI (0.23, 0.73)] and ≥10 years [AOR = 0.36, 95% CI (0.19, 0.69)]; family history of DM [AOR = 1.68, 95% CI (1.03, 2.75)]; and participating in diabetic counseling [AOR = 2.41, 95% CI (1.50, 3.86)] were significantly associated with knowledge about DM complications.
Conclusion And Recommendation: The overall knowledge of diabetes complications among diabetic patients in the Hospitals of Addis Ababa was 54.9%. It was determined by the duration of DM, current profession, family history, and participation in diabetes counseling. Hence, emphasis on sustaining knowledge about diabetes complications for patients who are more than 5 years since diagnosis and attention is needed about knowledge diabetic farmers.
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http://dx.doi.org/10.3389/fpubh.2021.812586 | DOI Listing |
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Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA.
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January 2025
The School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
This review aims to describe the sex differences in heart failure (HF) patients, with a particular emphasis on the effect of cardiovascular ageing. Additionally, it takes into consideration the sex-related variation in cardiovascular health and physiology and the role ageing plays in HF and its implications in drug therapy. The pharmacokinetics and pharmacodynamics of the common HF medications, classified according to the established sub-types, are summarised with respect to sex-specific documented findings.
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Neurology Quality and Innovation Lab, Division of Neurology, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.
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January 2025
College of Computer Science and Technology, Changchun University, Changchun, 130022, China.
Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients' health risks and medical costs. This paper proposes a data preprocessing method, including removing outliers, filling missing values, and using sparse autoencoder (SAE) feature enhancement.
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