2a670b33b3809f5212371bed280ef4c9 272081.pdf 1fe4b0263ca86ef6bbc03a2101498a93d8050b52 272081.pdf 9c8086f7a3555b4ea19ffd25a0045751f97ae357fc9bc4f3b2054f41aaf593de 272081.pdf Title: Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort Subject: 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 (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r 0.182 and p 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes. Keywords: adiposity; body composition; prediabetes; glycated hemoglobin; obesity Author: Marta Sánchez, Enric Sánchez, Marcelino Bermúdez-López, Gerard Torres, Cristina Farràs-Sallés, Reinald Pamplona, Eva Castro-Boqué, José Manuel Valdivielso, Francisco Purroy, Montserrat Martínez-Alonso, Pere Godoy, Dídac Mauricio, Elvira Fernández, Marta Hernández, Ferran Rius, Albert Lecube and On Behalf of the ILERVAS Project Collaborators Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Wed Mar 24 02:18:08 2021 CET ModDate: Wed Mar 24 02:28:17 2021 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 12 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 756032 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- VZZYZH+VnURWPalladioL Type 1 Custom yes yes no 10 0 CKAMSN+URWPalladioL-Ital Type 1 Custom yes yes no 15 0 VLKOFX+URWPalladioL-Bold Type 1 Custom yes yes no 20 0 KWQMYZ+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 VBAQIR+CMSY10 Type 1 Builtin yes yes no 28 0 UQZHSH+VnURWPalladioL-Bold Type 1 Custom yes yes no 32 0 HGMNRX+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 40 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 62 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 66 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 70 0 WQDFNE+EURM10 Type 1 Builtin yes yes no 85 0 QLBIEB+URWPalladioL-BoldItal Type 1 Custom yes yes no 95 0 ABCDEE+Palatino Linotype,Bold TrueType WinAnsi yes yes no 109 0 ABCDEE+Palatino Linotype TrueType WinAnsi yes yes no 113 0 ABCDEE+Palatino Linotype,Italic TrueType WinAnsi yes yes no 117 0 ABCDEE+Palatino Linotype,BoldItalic TrueType WinAnsi yes yes no 121 0 CRUZTT+VnURWPalladioL-Italic Type 1 Custom yes yes no 138 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-05-27 03:00:55 CEST RepresentationInformation: 272081.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-31 12:05:20 CEST Size: 756032 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 311 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Design of the Study and Description of the Study Population Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Prediabetes Screening Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Anthropometry and Calculation of Indices Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Statistical Analysis Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Ethics Statement Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Info: Title: Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort Author: Marta Sánchez, Enric Sánchez, Marcelino Bermúdez-López, Gerard Torres, Cristina Farràs-Sallés, Reinald Pamplona, Eva Castro-Boqué, José Manuel Valdivielso, Francisco Purroy, Montserrat Martínez-Alonso, Pere Godoy, Dídac Mauricio, Elvira Fernández, Marta Hernández, Ferran Rius, Albert Lecube and On Behalf of the ILERVAS Project Collaborators Subject: 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 (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r 0.182 and p 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes. 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