Valmore J. Bermúdez , Juan Salazar , Roberto Añez , José Ramón Rivas-Ríos , Mervin Chávez-Castillo , Wheeler Torres , Victoria Núñez , José Mejías , Sandra Wilches-Durán , Marcos Cerda , Modesto Graterol , Rosemily Graterol , Juan Hernández , Carlos Garicano , Joselyn Rojas
{"title":"Optimal cutoff for visceral adiposity index in a Venezuelan population: Results from the Maracaibo City Metabolic Syndrome Prevalence Study","authors":"Valmore J. Bermúdez , Juan Salazar , Roberto Añez , José Ramón Rivas-Ríos , Mervin Chávez-Castillo , Wheeler Torres , Victoria Núñez , José Mejías , Sandra Wilches-Durán , Marcos Cerda , Modesto Graterol , Rosemily Graterol , Juan Hernández , Carlos Garicano , Joselyn Rojas","doi":"10.1016/j.raem.2017.07.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>Visceral obesity is one of the most intensely researched cardiometabolic risk factors in recent years; nonetheless, its accurate assessment remains a challenge in regions were socioeconomic conditions hinder the widespread use of diagnostic methods for this purpose, such as imaging tests. In this setting, Visceral Adiposity Index (VAI) may be a useful tool. Thus, the objective of this study was to determine the VAI cutoff in adult population from Maracaibo City, Venezuela.</p></div><div><h3>Methods</h3><p>This is a descriptive, cross-sectional study with multi-staged sampling; 2026 subjects of both genders aged ≥18 years were selected from this database and had their VAI calculated. In order to determine VAI cutoffs, subsamples of metabolically healthy and sick individuals were determined, with 599 and 286 subjects, respectively. Gender-specific and general ROC curves were plotted in order to identify the most suitable cutoff according to sensitivity and specificity.</p></div><div><h3>Results</h3><p>Median VAI in the selected sample was 1.67 (0.97–2.78). The optimal cutoff was determined to be 1.91, with 70.3% sensitivity, 70.3% specificity [AUC<!--> <!-->=<!--> <!-->0.777 (0.745–0.808)]. No differences were found between genders. Analysis by age revealed VAI to have greater predictive power among subjects aged<!--> <!--><<!--> <!-->30 years (cutoff: 1.53), 78.6% sensitivity, 72.8% specificity [AUC<!--> <!-->=<!--> <!-->0.797 (0.709–0.884)].</p></div><div><h3>Conclusion</h3><p>We suggest a VAI cutoff of 1.9 for define dysfunctional adiposity in our population, with age being an important factor in the epidemiologic behavior of this variable, particularly in younger individuals.</p></div>","PeriodicalId":78598,"journal":{"name":"Revista argentina de endocrinologia y metabolismo","volume":"54 4","pages":"Pages 176-183"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.raem.2017.07.004","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista argentina de endocrinologia y metabolismo","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0326461017300578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/8/13 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Aim
Visceral obesity is one of the most intensely researched cardiometabolic risk factors in recent years; nonetheless, its accurate assessment remains a challenge in regions were socioeconomic conditions hinder the widespread use of diagnostic methods for this purpose, such as imaging tests. In this setting, Visceral Adiposity Index (VAI) may be a useful tool. Thus, the objective of this study was to determine the VAI cutoff in adult population from Maracaibo City, Venezuela.
Methods
This is a descriptive, cross-sectional study with multi-staged sampling; 2026 subjects of both genders aged ≥18 years were selected from this database and had their VAI calculated. In order to determine VAI cutoffs, subsamples of metabolically healthy and sick individuals were determined, with 599 and 286 subjects, respectively. Gender-specific and general ROC curves were plotted in order to identify the most suitable cutoff according to sensitivity and specificity.
Results
Median VAI in the selected sample was 1.67 (0.97–2.78). The optimal cutoff was determined to be 1.91, with 70.3% sensitivity, 70.3% specificity [AUC = 0.777 (0.745–0.808)]. No differences were found between genders. Analysis by age revealed VAI to have greater predictive power among subjects aged < 30 years (cutoff: 1.53), 78.6% sensitivity, 72.8% specificity [AUC = 0.797 (0.709–0.884)].
Conclusion
We suggest a VAI cutoff of 1.9 for define dysfunctional adiposity in our population, with age being an important factor in the epidemiologic behavior of this variable, particularly in younger individuals.