scholarly journals Rate of glycemic control and associated factors among type two diabetes mellitus patients in Ethiopia: A cross sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251506
Author(s):  
Shambel Nigussie ◽  
Nigussie Birhan ◽  
Firehiwot Amare ◽  
Getnet Mengistu ◽  
Fuad Adem ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective To assess the rate of glycemic control and associated factors among type 2 diabetes mellitus patients at Dilchora Referral Hospital, Dire Dawa, Eastern Ethiopia. Methods A cross-sectional study was conducted from 13 May to 16 August 2019. Type 2 diabetic patients on follow up at Dilchora Referral Hospital who fulfilled the inclusion criteria of the study were included. Systematic random sampling was used to select study participants. Data was collected by a face-to-face interview and review of medical records. The primary outcome was the level of blood glucose during three consecutive visits. Poor glycemic control was defined as a blood sugar level of more than 154 mg/dL based on the average of measurements from three consecutive visits. Multivariate logistic regression analysis was used to identify determinants of glycemic control. Result A total of 394 participants responded to the interview and were included in the final analysis. The overall prevalence of poor glycemic control was 45.2% (95%CI: 40.6%-50.0%). Patients who were on oral anti-diabetic drug plus insulin had more than two times greater chance of poor glycemic control than patients on oral anti-diabetic drug alone: 2.177(95%CI:1.10–4.29). The odds of poor glycemic control in patients who did not understand the pharmacist’s instructions was two times higher than patients with good understanding of instructions 1.86(95%CI: 1.10–3.13). Patients who had poor level of practice were found to have poor glycemic control: 1.69(95% CI: 1.13–2.55). Conclusion The overall prevalence of poor glycemic control was high among type 2 diabetes patients. Oral anti-diabetic drugs in combination with insulin, lack of understanding of pharmacist’s advice, and poor practice of diabetic patients were significant factors of poor glycemic control. Pharmacists should reassure the understanding of patients before discharge during counseling. Optimization of the dose of antidiabetic medications and combination of oral hypoglycemic agents should be considered.

scholarly journals Anaemia among primary care patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD): a multicentred cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e025125 ◽  
Author(s):  
Iliza Idris ◽  
Hizlinda Tohid ◽  
Noor Azimah Muhammad ◽  
Mohd Radzniwan A Rashid ◽  
Azainorsuzila Mohd Ahad ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Chronic Kidney Disease ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ckd Stage

ObjectivesThis study aimed to determine the prevalence of anaemia among patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) at primary care settings and its associated factors.Design, setting and participantsThis cross-sectional study involved 808 adult patients with T2DM and CKD who were recruited via systematic sampling from 20 public primary care clinics in Peninsular Malaysia. Their sociodemographic, clinical and biomedical profiles were collected through interviews, examination of medical records and blood testing.ResultsThe prevalence of anaemia was 31.7% (256/808). The anaemia was mainly mild (61.5%) and normocytic normochromic (58.7%). About 88.7% of the patients with anaemia were not known to have anaemia prior to the study. Among 36 patients with documented history of anaemia, 80.6% were still anaemic, and only a half received iron therapy. Multivariate regression analysis showed that women (adjusted odd ratio (AOR): 1.57, 95% CI: 1.12 to 2.21, p=0.009) and those with older age (AOR: 1.04, 95% CI: 1.01 to 1.06, p<0.001), CKD stage 3a (AOR: 2.47; 95% CI: 1.25 to 4.87, p=0.009), CKD stage 3b (AOR: 4.36; 95% CI: 2.14 to 8.85, p<0.001), CKD stage 4 (AOR: 10.12; 95% CI: 4.36 to 23.47, p<0.001), CKD stage 5 (AOR: 10.80; 95% CI: 3.32 to 35.11, p<0.001) and foot complication (AOR 3.12, 95% CI: 1.51 to 6.46, p=0.002) were more likely to have anaemia. Having higher body mass index (AOR 0.95, 95% CI: 0.92 to 0.99, p=0.012) and higher diastolic blood pressure (AOR 0.97, 95% CI: 0.95 to 0.99, p<0.001) were associated with lower odds to have anaemia.ConclusionAnaemia among patients with T2DM and CKD in primary care was common, and the majority was unrecognised. Inadequate treatment of anaemia was also prevalent. Therefore, screening of anaemia should be incorporated into the routine assessment of diabetic complications particularly for those with significant associated factors. It is hoped that such strategy could lead to early treatment and hence improve their overall care.Trial registration numberNMRR-15-660-24324.

scholarly journals Magnitude of metabolic syndrome and its associated factors among patients with type 2 diabetes mellitus in Ayder Comprehensive Specialized Hospital, Tigray, Ethiopia: a cross sectional study

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Gebreamlak Gebremedhn Gebremeskel ◽  
Kalayou Kidanu Berhe ◽  
Desta Siyoum Belay ◽  
Berihu Hailu Kidanu ◽  
Assefa Iyasu Negash ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Specialized Hospital

Abstract Objective The objective of this study was to assess magnitude of metabolic syndrome and its associated factors among type 2 diabetes mellitus patients in Ayder Comprehensive Specialized Hospital. A hospital based cross sectional study design was used. Binary logistic regression model was used. Result A total of 419 respondents (208 males and 211 females) were enrolled; the mean age was 56.39 (SD 10.18), 51.1% of the respondents had metabolic syndrome according to international diabetes federation. Sex and age were statistically associated with metabolic syndrome with [AOR (95% CI) 1.93 (1.057, 3.533) and 1.04 (1.012, 1.072)] respectively. Regular physical exercise, overweight and obesity were statistically associated with metabolic syndrome with [AOR (95% CI) 1.84 (1.002, 3.362), 2.68 (1.518, 4.747) and 3.55 (1.254, 10.074)] respectively. To conclude, Magnitude of metabolic syndrome was high. The associated factors for metabolic syndrome are physical inactivity, inadequate intake of fruits, family history, overweight, and obesity.

scholarly journals DISTRIBUTION PATTERNS AND RISK FACTORS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN BOGOR, INDONESIA

2020 ◽  
pp. 5-8
Author(s):  
SARASWATI PRADIPTA ◽  
HERI WIBOWO ◽  
DANTE SAKSONO HARBUWONO ◽  
EKOWATI RAHAJENG ◽  
RAHMA AYU LARASATI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

The association of food insecurity with diabetes control and self-care in diabetes type 2 patients: A cross-sectional study

2020 ◽  
Author(s):  
Marjan Mohammadi ◽  
Seyyed Abolghasem Djazayeri ◽  
Asal Ataie Jafari
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Food Insecurity ◽  
Self Care ◽  
Cross Sectional Study ◽  
Diabetes Control ◽  
Poor Glycemic Control ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Food insecurity can increase risks of health and nutritional problems, leading to difficulties in self-care and poor glycemic control in diabetic patients. This study assessed food insecurity and its association with diabetes control and self-care in type 2 diabetes patients. Methods In this cross sectional study, 148 adults with type 2 diabetes participated. Food insecurity and self-care were determined using the 18-item USDA household food security status questionnaire and self-care (SDSCA) questionnaire. Data were analyzed using logistic and linear regression tests (SPSS 20 software). Results Thirty-seven percent of the participants were food-insecure and significantly more likely than food-secure participants to have poor glycemic control (OR = 3.02; CI: 1.45–2.65). No significant association was found between food-insecurity and overall self-care score. Conclusion Food-insecurity was directly associated with poor glycemic control in type 2 diabetes patients. Since economic status was significantly better in the food-secure group, it can be postulated that financial problems will eventually lead to poor glycemic control. Policy strategies to increase access to diabetes-appropriate foods may reduce socioeconomic inequalities in glycemic control.

Glycemic control and its associated factors among patients with diabetes mellitus: a cross-sectional study in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Mahmud Reza ◽  
Towhid Hasan ◽  
Marjia Sultana ◽  
Md. Omar Faruque
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Glycosylated Hemoglobin ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Content Type

Purpose Diabetes mellitus is becoming a growing concern worldwide. Hence, the purpose of this study is to assess the magnitude of poor glycemic control and to identify the determinants of poor glycemic control among diabetic patients attending a tertiary care hospital in Bangladesh. Design/methodology/approach This cross-sectional study was conducted among 732 diabetes patients seeking care at the outpatient department of Bangladesh Institute of Health Sciences Hospital, Dhaka, Bangladesh. Information, including glycemic status, was collected from patients’ medical records using a structured questionnaire. Findings About 87.6% of the patients were found to have poor glycemic control (glycosylated hemoglobin = 7%). Variables that were significant in bivariate analysis were put into a multivariate model where the factors associated with poor glycemic control were patients aged 41–60 years (odds ratio (OR)=2.26; 95% confidence interval (CI): 1.19–4.32, p = 0.013), suffering from diabetes for > 7 years (OR = 1.84; 95% CI: 1.12–2.99, p = 0.015), using insulin (OR = 2.34; 95% CI: 1.23–4.47; p = 0.010) or diet alone (OR = 0.20; 95% CI: 0.05–0.80, p = 0.023) as a type of diabetes treatment and proper use of medicine (OR = 0.37; 95% CI: 0.17–0.82, p = 0.015). Originality/value The high prevalence of poor glycemic control among diabetic patients is evident; therefore, strategic management and proper attention focusing on the predictors of poor glycemic control are necessary to reduce the long-term complications of diabetes.

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