Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?

<i>Background and objectives:</i> The visceral adiposity index (VAI), estimating visceral adiposity dysfunction through a simple formula, could serve as a useful tool for identifying individuals at higher cardiometabolic risk. Its relationship with insulin resistance (IR), assessed using...

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Main Authors: Ladislav Štěpánek, Dagmar Horáková, Ľubica Cibičková, Helena Vaverková, David Karásek, Marie Nakládalová, Jana Zapletalová
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Medicina
Subjects:
Online Access:https://www.mdpi.com/1010-660X/55/9/545
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author Ladislav Štěpánek
Dagmar Horáková
Ľubica Cibičková
Helena Vaverková
David Karásek
Marie Nakládalová
Jana Zapletalová
author_facet Ladislav Štěpánek
Dagmar Horáková
Ľubica Cibičková
Helena Vaverková
David Karásek
Marie Nakládalová
Jana Zapletalová
author_sort Ladislav Štěpánek
collection DOAJ
description <i>Background and objectives:</i> The visceral adiposity index (VAI), estimating visceral adiposity dysfunction through a simple formula, could serve as a useful tool for identifying individuals at higher cardiometabolic risk. Its relationship with insulin resistance (IR), assessed using the homeostasis model assessment of IR (HOMA-IR), and metabolic syndrome (MetS) components remains unclear. The study aimed to investigate the association of VAI with both HOMA-IR and MetS. <i>Materials and Methods:</i> After undergoing anthropometric and biochemical studies, 783 individuals were divided into three groups according to a number of present MetS components. The VAI cut-offs signaling MetS and HOMA-IR were determined by maximizing the sum of the sensitivity and specificity. Correlation analysis was performed to explore the associations between VAI and other tested parameters. A logistic stepwise regression analysis was applied to identify statistically significant determinants of HOMA-IR. Given the variability of reference values, two thresholds of HOMA-IR were applied, namely 2.0 and 3.8. <i>Results:</i> VAI increased significantly between the groups with a rising number of MetS components. The VAI cut-off for MetS was 2.37, with a sensitivity of 0.86 and a specificity of 0.78. The same cut-off point identified subjects with HOMA-IR = 3.8, with a sensitivity of 0.79 and a specificity of 0.66. The VAI cut-off for HOMA-IR = 2.0 was 1.89, with a sensitivity of 0.74 and a specificity of 0.68. The strongest correlations of VAI were noted with HOMA-IR (r = 0.51) and insulin (r = 0.49), respectively, while the strongest correlation of HOMA-IR was with waist circumference (r = 0.54). Not one of the routine parameters was a significant predictor in the regression analysis. <i>Conclusions:</i> The obtained results show an existing association of VAI with HOMA-IR. The high sensitivity and specificity of the cut-offs may allow the application of VAI in common clinical practice.
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spelling doaj.art-c4da7dd5313e4067a0fce51194fb81d22023-09-02T03:26:50ZengMDPI AGMedicina1010-660X2019-08-0155954510.3390/medicina55090545medicina55090545Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?Ladislav Štěpánek0Dagmar Horáková1Ľubica Cibičková2Helena Vaverková3David Karásek4Marie Nakládalová5Jana Zapletalová6Department of Public Health, Faculty of Medicine and Dentistry, Palacký University Olomouc, 77515 Olomouc, Czech RepublicDepartment of Public Health, Faculty of Medicine and Dentistry, Palacký University Olomouc, 77515 Olomouc, Czech Republic3rd Department of Internal Medicine—Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacký University Olomouc, 77900 Olomouc, Czech Republic3rd Department of Internal Medicine—Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacký University Olomouc, 77900 Olomouc, Czech Republic3rd Department of Internal Medicine—Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacký University Olomouc, 77900 Olomouc, Czech RepublicDepartment of Occupational Medicine, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacký University Olomouc, 77900 Olomouc, Czech RepublicDepartment of Biophysics, Faculty of Medicine and Dentistry, Palacký University Olomouc, 77515 Olomouc, Czech Republic<i>Background and objectives:</i> The visceral adiposity index (VAI), estimating visceral adiposity dysfunction through a simple formula, could serve as a useful tool for identifying individuals at higher cardiometabolic risk. Its relationship with insulin resistance (IR), assessed using the homeostasis model assessment of IR (HOMA-IR), and metabolic syndrome (MetS) components remains unclear. The study aimed to investigate the association of VAI with both HOMA-IR and MetS. <i>Materials and Methods:</i> After undergoing anthropometric and biochemical studies, 783 individuals were divided into three groups according to a number of present MetS components. The VAI cut-offs signaling MetS and HOMA-IR were determined by maximizing the sum of the sensitivity and specificity. Correlation analysis was performed to explore the associations between VAI and other tested parameters. A logistic stepwise regression analysis was applied to identify statistically significant determinants of HOMA-IR. Given the variability of reference values, two thresholds of HOMA-IR were applied, namely 2.0 and 3.8. <i>Results:</i> VAI increased significantly between the groups with a rising number of MetS components. The VAI cut-off for MetS was 2.37, with a sensitivity of 0.86 and a specificity of 0.78. The same cut-off point identified subjects with HOMA-IR = 3.8, with a sensitivity of 0.79 and a specificity of 0.66. The VAI cut-off for HOMA-IR = 2.0 was 1.89, with a sensitivity of 0.74 and a specificity of 0.68. The strongest correlations of VAI were noted with HOMA-IR (r = 0.51) and insulin (r = 0.49), respectively, while the strongest correlation of HOMA-IR was with waist circumference (r = 0.54). Not one of the routine parameters was a significant predictor in the regression analysis. <i>Conclusions:</i> The obtained results show an existing association of VAI with HOMA-IR. The high sensitivity and specificity of the cut-offs may allow the application of VAI in common clinical practice.https://www.mdpi.com/1010-660X/55/9/545visceral adiposity indexhomeostasis model assessment of insulin resistancemetabolic syndromecardiometabolic risk
spellingShingle Ladislav Štěpánek
Dagmar Horáková
Ľubica Cibičková
Helena Vaverková
David Karásek
Marie Nakládalová
Jana Zapletalová
Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
Medicina
visceral adiposity index
homeostasis model assessment of insulin resistance
metabolic syndrome
cardiometabolic risk
title Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
title_full Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
title_fullStr Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
title_full_unstemmed Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
title_short Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?
title_sort can visceral adiposity index serve as a simple tool for identifying individuals with insulin resistance in daily clinical practice
topic visceral adiposity index
homeostasis model assessment of insulin resistance
metabolic syndrome
cardiometabolic risk
url https://www.mdpi.com/1010-660X/55/9/545
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