ArticlePloS one2022
Poor glycemic control, cardiovascular disease risk factors and their clustering among patients with type 2 diabetes mellitus: A cross-sectional study from Nepal.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictor factors of uncontrolled diabetes.BMC endocrine disorders · 2025Pooled it
- Poor glycemic control and its predictors among people living with diabetes in low- and middle-income countries: a systematic review and meta-analysis.BMC public health · 2025Pooled it
- Trial
- Assessment of Cardiorespiratory Fitness in Individuals With Type 2 Diabetes Mellitus: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2026Article
- Prevalence and Factors Associated With Poor Glycaemic Control in Type 2 Diabetes Mellitus Patients: A Single-Centre, Hospital-Based Cross-Sectional Study in Jhenaidah District, Bangladesh.Endocrinology, diabetes & metabolism · 2026Article
- Gender differences and factors associated with glycaemic control among adults with type 2 diabetes mellitus in Madhesh Province, Nepal: a cross-sectional study.BMJ public health · 2026Article
- Impact of Dietary Habits on Glycemic Control in Type 2 Diabetic Patients Attending a Tertiary Care Hospital.Cureus · 2025Article
- Statin utilization and its predictors for the primary prevention of cardiovascular disease among type 2 diabetic patients in a resource-limited setting.Frontiers in endocrinology · 2025Article
- HucMSCs can alleviate abnormal vasculogenesis induced by high glucose through the MAPK signaling pathway.iScience · 2024Article
- The comparison of the prevalence, awareness, treatment and control of hypertension among adults along the three provinces of the Lancang-Mekong River countries-China, Laos and Cambodia.Archives of public health = Archives belges de sante publique · 2024Article
- Evaluating Risk Factors and the Burden of Silent Myocardial Ischemia Among Diabetic Patients.Cureus · 2024Article
- Factors associated with glycemic control in patients with T2DM: evidence from a cross-sectional study in China.BMC endocrine disorders · 2024Article
- Article
- Cardiovascular risk screening: a 10-year prediction cross-sectional study in a Nigerian agrarian community.The Pan African medical journal · 2024Article
- Electrocardiogram abnormalities and renal impairment in patients with type 2 diabetes mellitus: A healthcare facilities-based cross-sectional study in Dang district of Nepal.Journal of diabetes investigation · 2023Article
- Social determinants of health and glycemic control in persons with type 2 diabetes mellitus attending a tertiary hospital in Nepal: A cross-sectional study.Belitung nursing journal · 2023Article
- The Mechanisms of the Potential ProbioticFoods (Basel, Switzerland) · 2022Review
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10 authors.
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Abstract
backgroundCardiovascular disease (CVD) is the most common complication of diabetes mellitus (DM). To prevent morbidity and mortality among patients with type 2 diabetes mellitus (T2DM), optimization of glycemic status and minimizing CVD risk factors is essential. As Nepal has limited data on these CVD risk parameters, we assessed the prevalence of poor glycemic control, CVD risk factors, and their clustering among patients with T2DM.
methodsUsing a cross-sectional study design, we collected data of 366 patients with T2DM. We applied a multistage cluster sampling technique and used the WHO STEPS tools. Binary logistic and Poisson regression was applied to calculate odds and prevalence ratio of clustering of risk factors, considering P< 0.05 statistically significant.
resultsThe mean age of participants was 54.5±10.7 years and 208 (57%) were male. The prevalence of poor glycemic control was 66.4% (95% C.I: 61.5-71.2). The prevalence of smoking, alcohol users, inadequate fruit and vegetables intake and physical inactivity were 18% (95% C.I:14 to 21.9), 14.8% (95% C.I:11.1 to 18.4), 98.1% (95% C.I: 96.7-99.4), and 9.8% (95% C.I:6.7-12.8), respectively. Overall, 47.3% (95% C.I: 42.1-52.4) were overweight and obese, 59% (95% C.I: 52.9-63) were hypertensive, and 68% (95% C.I: 63.2-72.7) had dyslipidemia. Clustering of two, three, four, five and more than five risk factors was 12.6%, 30%, 30%,19%, and 8.7%, respectively. Four or more risk factors clustering was significantly associated with gender, age, level of education, T2DM duration, and use of medication. Risk factors clustering was significantly higher among males and users of anti-diabetic medications with prevalence ratio of 1.14 (95% C.I:1.05-1.23) and 1.09 (95% C.I: 1.09-1.18)], respectively.
conclusionsThe majority of the patients with T2DM had poor glycemic control and CVD risk factors. Policies and programs focused on the prevention and better management of T2DM and CVD risk factors should be implemented to reduce mortality in Nepal.
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