ArticleJournal of diabetes research2022
Metabolic Syndrome and Its Associated Factors among Type 2 Diabetic Patients in Southwest Ethiopia, 2021/2022.
Article in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Prevalence and determinants of metabolic syndrome among type2 diabetic patients using different diagnosis criteria in ethiopia: systematic review and meta-analysis.BMC public health · 2025Pooled it
- Exploring the Prevalence and Components of Metabolic Syndrome in Sub-Saharan African Type 2 Diabetes Mellitus Patients: A Systematic Review and Meta-Analysis.Journal of obesity · 2024Pooled it
- Metabolic syndrome among type 2 Diabetes Mellitus patients in Ethiopia: a systematic review and meta-analysis.Frontiers in clinical diabetes and healthcare · 2024Pooled it
- Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational Study.JMIR medical informatics · 2026Observational
- Whole Exome Sequencing in 26 Saudi Patients Expands the Mutational and Clinical Spectrum of Diabetic Nephropathy.Medicina (Kaunas, Lithuania) · 2025Article
- Prevalence of metabolic syndrome and its risk factors among newly diagnosed type 2 diabetes mellitus patients - A hospital-based cross-sectional study.Journal of family medicine and primary care · 2024Article
- Prevalence and correlates of metabolic syndrome among adults in freetown, Sierra Leone: A comparative analysis of NCEP ATP III, IDF and harmonized ATP III criteria.International journal of cardiology. Cardiovascular risk and prevention · 2024Article
- Determinants of stillbirth among mothers who gave birth at Bishoftu General Hospital, Ethiopia: using a Bayesian logistic regression model.Frontiers in global women's health · 2024Article
- Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia.Journal of clinical medicine · 2023Article
- CRP/HDL-C and Monocyte/HDL-C ratios as Predictors of Metabolic Syndrome in Patients With Type 2 Diabetes Mellitus.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023Article
- Metabolic syndrome and its associated factors among type 2 diabetic patients in Mizan-Tepi University Teaching Hospital, Southwest Ethiopia Region.Frontiers in clinical diabetes and healthcare · 2023Article
- Metabolic syndrome in patients with type 2 diabetes mellitus at Adama Hospital Medical College, Ethiopia: a hospital-based cross-sectional study.Frontiers in clinical diabetes and healthcare · 2023Article
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Authors and funding
3 authors.
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Abstract
Background: Metabolic syndrome is one of the leading global public health and clinical challenges, with increasing prevalence figures ranging from 10% to as high as 84%. There is a 5-fold increase in metabolic syndrome associated with type 2 diabetes and a 2-fold increase associated with the development of cardiovascular disease. The calorie-dense diet and sedentary life patterns are the most important contributory factors that have been established. Objective: This study is aimed at assessing metabolic syndrome and its associated factors among patients with type 2 diabetes attending chronic follow-up units at hospitals in Southwest Ethiopia, in 2020. Methods: This study was conducted at hospitals in Southwest Ethiopia, using an institutional-based cross-sectional study design from September 1, 2020, to August 30, 2021. Data was collected from 422 type 2 diabetics through face-to-face interviews using structured and pretested questionnaires. Data were entered into Epi-data version 4.4.1 and exported for analysis to the Statistical Package for Social Sciences 25. The magnitude of metabolic syndrome was determined by using the National Cholesterol Education Program Third Adult Treatment Panel III criteria. Bivariate and multivariable logistic regression analyses were used to evaluate associated factors for the outcome variable. A
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