ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020
Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Prevalence of Metabolic Syndrome in Ethiopian Population: A Systematic Review and Meta-analysis.Journal of obesity · 2020Pooled it
- Abnormal DNA methylation of EBF1 regulates adipogenesis in chicken.BMC genomics · 2025Article
- Predictive modelling of metabolic syndrome in Ghanaian diabetic patients: an ensemble machine learning approach.Journal of diabetes and metabolic disorders · 2024Article
- Article
- Comparison of different obesity indices associated with type 2 diabetes mellitus among different sex and age groups in Nantong, China: a cross-section study.BMC geriatrics · 2022Article
- High atherogenic risk concomitant with elevated HbA1c among persons with type 2 diabetes mellitus in North Ethiopia.PloS one · 2022Article
- Prevalence of Cardiometabolic Syndrome and its Association With Body Shape Index and A Body Roundness Index Among Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study in a Ghanaian Population.Frontiers in clinical diabetes and healthcare · 2021Article
- The Magnitude of Diabetes Mellitus in Adult Hypertensive Patients in Northeast Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
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4 authors.
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Abstract
introductionWorldwide, metabolic syndrome is a common problem among T2DM patients. Even though the International Diabetes Federation recommended waist circumference as a diagnostic tool for metabolic syndrome, the appropriate indices and cut-off point remain controversial.
objectiveTo assess obesity indices in identifying metabolic syndrome among type 2 diabetes mellitus patients in Dessie Referral Hospital, North east Ethiopia.
methodsA hospital-based cross-sectional study was conducted among 363 consecutively selected T2DM in Dessie Referral Hospital from February to March 2017. Data were collected by interviewer-administered questionnaire. Height, weight, waist circumference, hip circumference, lipid profile, blood glucose levels and blood pressure were taken. Descriptive statistics were computed. Receiver operator characteristic curve analysis with a 95% confidence interval and p-value <0.05 was used to identify the discriminate ability of each index, while the optimal cut point of each index was determined by Youden's index.
resultsA total of 330 study participants were included in the study. Based on ATP III definition, the magnitude of metabolic syndrome among T2DM patients was 59.4% (53.6-64.5%). Waist to height ratio (optimal cut point=0.54, AUC=0.85) and waist circumference (optimal cut point= 83 cm, AUC=0.75) were the best predictor of metabolic syndrome for women and men, respectively. For the entire study participant, waist to height ratio (optimal cut point=0.51, AUC=0.79) was the best predictor of metabolic syndrome among type 2 diabetes patients. CONCLUSION AND RECOMMENDATION: Waist to height ratio and waist circumference was the best predictor of metabolic syndrome for women and men, respectively. So, appropriate indices optimal cut-off point should be included to diagnose metabolic syndrome among T2DM.
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