Javascript must be enabled to continue!
Glycemic control and associated factors in patients with type 2 diabetes in Southwest Ethiopia: a prospective observational study
View through CrossRef
Abstract
Background
Diabetes, a known syndrome marked by hyperglycemia and glucose intolerance, is increasing at an alarming rate worldwide. Over half a billion people worldwide have DM, and most live in low- and middle-income countries. Poor glycemic control is a public health concern in type 2 diabetes mellitus. Glycemic control and identifying factors associated with poor glycemic control can help healthcare providers design programs that improve glycemic control and the quality of services provided to patients.
Objectives
This study was designed to assess the level of glycemic control and associated factors in patients with type 2 diabetes in Jimma Medical Center, Southwest Ethiopia.
Methods
This institution-based prospective observational study was conducted among 420 patients with type 2 diabetes at Jimma Medical Center’s diabetic clinics. A pretested structured interviewer-administered questionnaire was used to collect data, and a checklist was used to assess patient documents. The data were analyzed using SPSS version 26. The variables linked to poor glycemic control were investigated using binary logistic regression. Variables with p values less than 0.05 were considered statistically significant.
Results
Six-month follow-ups were conducted among 420 patients with type 2 diabetes, among whom 220 (52.38%) were women. The median age of the participants was 54(IQR = 40–60 years old). The proportion of respondents with uncontrolled fasting blood glucose was 58.1%. Sex (AOR = 2.576, 95% CI [2.80-11.479], P = 0.001), age(≥ 60) (AOR = 2.024, 95% CI [1.794–4.646], P = 0.002), diabetes duration > 10 years (AOR = 3.036, 95% CI [2.616–8.306], P = 0.003), type 2 diabetes mellitus on insulin + oral antidiabetic (OADs) (AOR = 2.08, 95% CI [298-3.918], P = 0.004), obesity (AOR = 2.18, 95% CI [(1.218–4.218)], P = 0.003), diabetic complications (AOR = 3.193, 95% CI [2.324–6.05], p = 0.002) and poor self-care practices (AOR = 3.034, 95% CI [5.821–7.02], P = 0.005) were found to be significantly associated with poor glycemic control.
Conclusion
At the Jimma Medical Center, the prevalence of poor glycemic control was high. Based on these findings, teaching and counseling provided by healthcare providers should focus on improving diabetes self-care activities, weight reduction, and diabetic complications to achieve good glycemic control.
Clinical trial number
Not applicable.
Springer Science and Business Media LLC
Title: Glycemic control and associated factors in patients with type 2 diabetes in Southwest Ethiopia: a prospective observational study
Description:
Abstract
Background
Diabetes, a known syndrome marked by hyperglycemia and glucose intolerance, is increasing at an alarming rate worldwide.
Over half a billion people worldwide have DM, and most live in low- and middle-income countries.
Poor glycemic control is a public health concern in type 2 diabetes mellitus.
Glycemic control and identifying factors associated with poor glycemic control can help healthcare providers design programs that improve glycemic control and the quality of services provided to patients.
Objectives
This study was designed to assess the level of glycemic control and associated factors in patients with type 2 diabetes in Jimma Medical Center, Southwest Ethiopia.
Methods
This institution-based prospective observational study was conducted among 420 patients with type 2 diabetes at Jimma Medical Center’s diabetic clinics.
A pretested structured interviewer-administered questionnaire was used to collect data, and a checklist was used to assess patient documents.
The data were analyzed using SPSS version 26.
The variables linked to poor glycemic control were investigated using binary logistic regression.
Variables with p values less than 0.
05 were considered statistically significant.
Results
Six-month follow-ups were conducted among 420 patients with type 2 diabetes, among whom 220 (52.
38%) were women.
The median age of the participants was 54(IQR = 40–60 years old).
The proportion of respondents with uncontrolled fasting blood glucose was 58.
1%.
Sex (AOR = 2.
576, 95% CI [2.
80-11.
479], P = 0.
001), age(≥ 60) (AOR = 2.
024, 95% CI [1.
794–4.
646], P = 0.
002), diabetes duration > 10 years (AOR = 3.
036, 95% CI [2.
616–8.
306], P = 0.
003), type 2 diabetes mellitus on insulin + oral antidiabetic (OADs) (AOR = 2.
08, 95% CI [298-3.
918], P = 0.
004), obesity (AOR = 2.
18, 95% CI [(1.
218–4.
218)], P = 0.
003), diabetic complications (AOR = 3.
193, 95% CI [2.
324–6.
05], p = 0.
002) and poor self-care practices (AOR = 3.
034, 95% CI [5.
821–7.
02], P = 0.
005) were found to be significantly associated with poor glycemic control.
Conclusion
At the Jimma Medical Center, the prevalence of poor glycemic control was high.
Based on these findings, teaching and counseling provided by healthcare providers should focus on improving diabetes self-care activities, weight reduction, and diabetic complications to achieve good glycemic control.
Clinical trial number
Not applicable.
Related Results
Assessment of glycemic control, health-related quality of life, and associated factors in type 2 diabetic patients attending a comprehensive specialized hospital in Northwest Ethiopia
Assessment of glycemic control, health-related quality of life, and associated factors in type 2 diabetic patients attending a comprehensive specialized hospital in Northwest Ethiopia
Background
Poor glycemic control in type 2 diabetes mellitus (T2DM) leads to serious complications that negatively impact health-related quality of life (HRQoL). This study aimed t...
Individualized Glycemic Index: A New Approach to Personalized Glycemic Control
Individualized Glycemic Index: A New Approach to Personalized Glycemic Control
ABSTRACT
Introduction
The assessment of glycemic control is fundamental for diabetes management. However, traditional measures ...
Correlates of Glycemic Control Among Patients With Type 2 Diabetes in Eastern Ethiopia: A Hospital-Based Cross-Sectional Study
Correlates of Glycemic Control Among Patients With Type 2 Diabetes in Eastern Ethiopia: A Hospital-Based Cross-Sectional Study
IntroductionEven though optimal blood glucose control reduces the risk of diabetes-related complications, many patients with type 2 diabetes (T2D) fail to achieve it for a variety ...
Predictors of Glycemic Control Among Patients With Type 2 Diabetes in North West Ethiopia: A Longitudinal Study
Predictors of Glycemic Control Among Patients With Type 2 Diabetes in North West Ethiopia: A Longitudinal Study
Abstract
Background
Type 2 diabetes mellitus patients with hyperglycemia for a long period of time are significant causes of mortality and morbidity worldwide. Studying th...
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
ABSTRACT
Aims/hypothesis
Genetic prediction of type 2 diabetes risk has proven difficult using current methods. Recent studies have shown...
Prevalence of Glycemic Control and Factors Associated With Poor Glycemic Control: A Systematic Review and Meta-analysis
Prevalence of Glycemic Control and Factors Associated With Poor Glycemic Control: A Systematic Review and Meta-analysis
The primary method for preventing health and health-related problems in diabetic people is glycemic control. Numerous studies have documented the importance of glycemic control and...
Association Between a Low Carbohydrate Diet, Quality of Life, and Glycemic Control in Australian Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Pilot Study (Preprint)
Association Between a Low Carbohydrate Diet, Quality of Life, and Glycemic Control in Australian Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Pilot Study (Preprint)
BACKGROUND
Globally, the prevalence of type 1 diabetes mellitus (T1DM) is rising. In 2020, a total of 124,652 Australians had T1DM. Maintaining optimal glyc...
Influence of serum ferritin on glycemic control in patients with type 2 diabetes mellitus.
Influence of serum ferritin on glycemic control in patients with type 2 diabetes mellitus.
Objective: To determine the influence of serum ferritin levels on glycemic control in patients with type 2 diabetes mellitus (T2DM) patients. Study Design: Cross-sectional study. S...

