ArticlePloS one2022
Waist-to-hip circumference and waist-to-height ratio could strongly predict glycemic control than body mass index among adult patients with diabetes in Ethiopia: ROC analysis.
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 11 papers, 4 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- 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
- The Effect of Nutritional Mobile Apps on Populations With Cancer: Systematic Review.JMIR cancer · 2025Pooled it
- The Effectiveness of Clinician-Led Community-Based Group Exercise Interventions on Health Outcomes in Adults with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2024Pooled it
- Association between waist-to-hip ratio and risk of myocardial infarction: a systematic evaluation and meta-analysis.Frontiers in cardiovascular medicine · 2024Pooled it
- Observational
- The ability of anthropometric indices in detecting type 2 diabetes mellitus in Sudanese adults: a cross-sectional study.Scientific reports · 2025Article
- Body composition markers are more strongly associated with type 2 diabetes than inflammatory markers-Results from the study of health in Pomerania.European journal of clinical investigation · 2025Article
- Article
- Prevalence and determinants of insulin resistance in recovered COVID-19 and uninfected residents of two regional capitals in Ghana: An observational study.PLOS global public health · 2025Article
- Dyslipidemia and Associated Factors Among People Living With HIV on Dolutegravir-Based Antiretroviral Therapy in Central Uganda.Journal of the International Association of Providers of AIDS CareArticle
- Peer-led Diabetes Self-Management Education and Support Enhances Cardiometabolic Markers in Adults With Type 2 Diabetes: A Quasi-Experimental Study.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPoorly controlled blood glucose is prevalent and contributes to the huge burden of diabetes related morbidity, and central obesity has a great role in the pathogenesis of diabetes and its adverse complications, which could predict such risks, yet evidence is lacking. Hence, this paper is to evaluate the predictive performance of central obesity indices for glycemic control among adult patients with diabetes in eastern Ethiopia.
methodsA survey of 432 randomly chosen patients with diabetes was conducted using a pretested questionnaire supplemented by chart review, anthropometrics, and biomarkers by trained data collectors. The poor glycemic control was assessed using a fasting blood glucose (FBS) level of above 130 and/or an HgA1c level above 7%. Weight, height, waist circumference (WC), and hip circumference (HC) were measured under standard procedures and we calculated waist-to-hip circumference ratio (WHR) and waist-to-height ratio (WHtR). The receiver operating characteristics curve was used to assess the predictive performance of obesity indices for glycemic control using area under the curve (AUC) and corresponding validity measures.
resultsA total of 432 (92%) patients with diabetes were enrolled with a mean age of 49.6 (±12.4) years. The mean fasting blood glucose level was 189 (±72) mg dl-1 where 330 (76.4%) (95% CI: 74.4-78.4%) and 93.3% of them had poor glycemic control based on FBS and HgA1c, respectively. WC (AUC = 0.90; 95% CI: 0.85-0.95), WHR (AUC = 0.64; 95% CI: 0.43-0.84), and WHtR (AUC = 0.87; 95% CI: 0.83-0.94) have a higher predictive performance for poor glycemic control at cut-off points above 100 cm, 0.95, and 0.62, respectively. However, obesity indices showed a lower predictive performance for poor glycemic control based on FBS. Body mass index (BMI) had a poor predictive performance for poor glycemic control (AUC = 0.26; 95% CI: 0.13-0.40).
conclusionsPoor glycemic control is a public health concern and obesity indicators, typically WC, WHR, and WHtR, have a better predictive performance for poor glycemic control than BMI.
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