ArticleNutrients2021
Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03228459 (Randomized Intervention Study to Assess the Prevalence of Subclinical Vascular Disease and Hidden Kidney Disease and Its Impact on Morbidity and Mortality), which is not on this map. Cited by 8 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Randomized Intervention Study to Assess the Prevalence of Subclinical Vascular Disease and Hidden Kidney Disease and Its Impact on Morbidity and Mortality: The ILERVAS Project
Who cites it
8 citing papers in PubMed.
- A comparative analysis of anthropometric indices for identifying prediabetes in US adults: results from NHANES 2021-2023.Preventive medicine reports · 2026Article
- Article
- Observational
- Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China.BMC endocrine disorders · 2024Article
- Comprehensive Bio-Screening of Phytochemistry and Biological Capacity ofBiomolecules · 2024Article
- Waist-to-hip ratio and nonalcoholic fatty liver disease: a clinical observational and Mendelian randomization analysis.Frontiers in nutrition · 2024Article
- Measurement of visceral fat for early prediction of prediabetes-Cross-sectional study from Southern India.Journal of Taibah University Medical Sciences · 2022Article
- Correlation Between Anthropometric Measurements and Non-alcoholic Fatty Liver Disease in Individuals With Obesity Undergoing Bariatric Surgery: Cross-Sectional Study.Obesity surgery · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg's formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (
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