Optimal cutoff for visceral adiposity index in a Venezuelan population: Results from the Maracaibo City Metabolic Syndrome Prevalence Study
| Autor: | José Mejías, José Ramón Rivas-Ríos, Joselyn Rojas, Marcos Cerda, Modesto Graterol, Victoria Núñez, Carlos Garicano, Valmore Bermúdez, Rosemily Graterol, Juan Diego Hernández, Roberto Añez, Mervin Chávez-Castillo, Juan Salazar, Sandra Wilches-Duran, Wheeler Torres |
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| Rok vydání: | 2017 |
| Předmět: |
Gerontology
education.field_of_study Optimal cutoff Receiver operating characteristic business.industry Endocrinology Diabetes and Metabolism Population 030209 endocrinology & metabolism Dysfunctional family 030204 cardiovascular system & hematology medicine.disease 03 medical and health sciences 0302 clinical medicine Endocrinology Medicine Cutoff Metabolic syndrome education business Socioeconomic status Visceral Obesity Demography |
| Zdroj: | Revista Argentina de Endocrinología y Metabolismo. 54:176-183 |
| ISSN: | 0326-4610 |
| DOI: | 10.1016/j.raem.2017.07.004 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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