ArticleScientific reports2022
Comparison of adiposity anthropometric indices and their associations with visceral fat levels determined by bioelectrical impedance analysis among diabetic patients.
Article in Scientific reports, 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, 21 citations in OpenAlex.
- Prevalence of Cardiovascular Disease and Risk Factors in Ghana: A Systematic Review and Meta-analysis.Global heart · 2024Pooled it
- Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2023Pooled it
- The Impact of Digital Intervention Messages Targeting Users With High Blood Pressure Events: Retrospective Real-World Study.JMIR cardio · 2025Article
- Is Type 2 Diabetes a Modifiable Risk Factor for the Evolution and Progression of Heart Failure With a Preserved Ejection Fraction?Journal of the American College of Cardiology · 2025Review
- Chronic Kidney Disease in Patients With Heart Failure With a Preserved Ejection Fraction: The Underlying Role of Visceral Adiposity.Journal of the American College of Cardiology · 2025Review
- Article
- Article
- Predictive Diagnostic Power of Anthropometric Indicators for Metabolic Syndrome: A Comparative Study in Korean Adults.Journal of clinical medicine · 2025Article
- Article
- Relationship of visceral adiposity index (VAI) and visceral body fat among metabolically obese normal weight individuals from Pakistan.Obesity pillars · 2024Article
- Impact of adiposity indices changes across the lifespan on risk of diabetes in women: trajectory modeling approach.BMC public health · 2024Article
- Patterns of acute chest pain at two tertiary centres in Accra, Ghana.Ghana medical journal · 2024Article
- Review
- Association between galectin-3 and hepatosteatosis in a community-based cross-sectional study.Therapeutic advances in chronic disease · 2024Article
- A multilevel and multicenter assessment of health care system capacity to manage cardiovascular diseases in Africa: a baseline study of the Ghana Heart Initiative.BMC cardiovascular disorders · 2023Article
- Effect of COVID-19 on dental care for children during the post-pandemic era in Ghana: a concern for policymaking.Frontiers in dental medicine · 2023Review
- Sociodemographic characteristics and reproductive health factors associated with maternal knowledge and practice of infection prevention in neonates in North Dayi District, Ghana.Frontiers in public health · 2023Article
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1 author at 1 institution in 1 country.
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Abstract
Visceral fat (VF) and its effect on metabolic disorders have been extensively studied; nevertheless, there is a need for a simple and reliable index to equally assess VF in low-resource settings. This multihospital-based study was designed to compare the five adiposity anthropometric indices and their associations with VF levels determined by bioelectrical impedance analysis as the reference standard among diabetic patients. A pretested questionnaire was used to collect anthropometric, biochemical and hemodynamic data from 473 diabetic patients. Regression analysis was performed to determine the associations between the five adiposity anthropometric indices and VF levels. Receiver operating characteristic (ROC) curves were used to confirm the predictive capacities of the five adiposity anthropometric indices with VF levels. The waist-to-height ratio WHtR showed the greatest ROC value [area under the curve (AUC) = 0.745, p ˂0.001] in identifying diabetic patients with high VF levels compared to body mass index BMI [AUC = 0.584, p = 0.047], waist circumference WC [AUC = 0.723, p ˂0.001], hip circumference HC [AUC = 0.647, p ˂0.001] and waist-to-hip ratio WHR [AUC = 0.711, p ˂0.001]. Likewise, the regression analysis of WHtR and VF levels revealed the strongest association [unadjusted odds ratio (UOR) = 21.49, p < 0.001] compared to BMI [UOR = 6.77, p = 0.008], WC [UOR = 6.37, p < 0.001], HC [UOR = 5.93, p = 0.002] and WHR [UOR = 13.17, p < 0.001]. The optimal cut-off values to identify diabetic patients with high VF levels were > 0.5 for WHtR, > 25.7 kg/m2 for BMI, > 80.5 cm for WC, > 95.5 cm for HC and > 0.82 for WHR. WHtR was shown to have overpowered BMI, HC, WC and WHR in identifying diabetic patients with high VF levels. Therefore, the Ghana Health Service could recommend WHtR as a better diagnostic index for assessing VF levels due to its high predictive capacity.
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