Cesar Ivan Elizalde-Barrera1, Alberto Francisco Rubio-Guerra2, Jose Juan Lozano-Nuevo2, Jose Luis Olvera-Gomez3. 1. Hospital General de Zona Numero 30, Instituto Mexicano del Seguro Social, Eje 4 Sur, Av. Pdte. Plutarco Elías Calles 473, Col. Santa Anita, Alcaldía Iztacalco, C.P. 08300 Ciudad de México, Mexico; Hospital General de Ticoman, Servicios de Salud Publica de la Ciudad de Mexico, Plan de San Luis S/N, Col. Ticoman, Alcaldía Gustavo A. Madero, C.P. 07330 Ciudad de México, Mexico. Electronic address: cesarivanelizalde@gmail.com. 2. Hospital General de Ticoman, Servicios de Salud Publica de la Ciudad de Mexico, Plan de San Luis S/N, Col. Ticoman, Alcaldía Gustavo A. Madero, C.P. 07330 Ciudad de México, Mexico. 3. Coordinación de Planeación y Enlace Institucional, Delegación Sur CDMX, Instituto Mexicano del Seguro Social, Avenida Insurgentes Sur N°1960, Col. Florida, Alcaldía Álvaro Obregón, C.P. 01030 Ciudad de México, Mexico.
Abstract
AIMS: To evaluate the clinical accuracy of novel indices visceral adiposity index (VAI) and body adiposity index (BAI) to identify patients with impaired fasting glucose (IFG) and compare with its individual components and other obesity indicators. METHODS: A cross-sectional study was conducted in Mexican population. Body mass index (BMI), waist circumference, hip circumference, triglycerides (TG), High density lipoprotein cholesterol (HDL-C), VAI, BAI, waist to hip ratio (WHR) and waist to height ratio (WHtR) were determined. We plotted a receiver operating characteristic curves to assess the abilities to discriminate subjects with IFG from those with normal glucose tolerance (NGT) of the measurements. A binary logistic regression analysis was performed to determine the strength of association with IFG. RESULTS: A total of 280 individuals were included, from which 144 (51.3%) have IFG; the mean age was 47.14 years and 164 (55.5%) were females. Compared with NGT subjects, the participants with IFG had significantly higher levels of BMI, WHtR, VAI, BAI and TG. The measurements with highest area under the curve were TG, (0.631, 95% confidence interval [CI] 0.566-0.697) VAI (0.628, 95% CI 0.563-0.693) and WHtR (0.622, 95% CI 0.557-0.688) and in the adjusted binary logistic regression model, were found to be independently associated with IFG, Odds Ratio of 2.665, (95% CI 1.567-4.533) 2.567 (95% CI 1.527-4.317) and 2.171 (95% CI 1.102-4.276) respectively. CONCLUSIONS: Our data provide evidence that TG, VAI and WHtR could be considered potential tools for the risk assessment of type 2 diabetes mellitus (T2DM) in this population.
AIMS: To evaluate the clinical accuracy of novel indices visceral adiposity index (VAI) and body adiposity index (BAI) to identify patients with impaired fasting glucose (IFG) and compare with its individual components and other obesity indicators. METHODS: A cross-sectional study was conducted in Mexican population. Body mass index (BMI), waist circumference, hip circumference, triglycerides (TG), High density lipoprotein cholesterol (HDL-C), VAI, BAI, waist to hip ratio (WHR) and waist to height ratio (WHtR) were determined. We plotted a receiver operating characteristic curves to assess the abilities to discriminate subjects with IFG from those with normal glucose tolerance (NGT) of the measurements. A binary logistic regression analysis was performed to determine the strength of association with IFG. RESULTS: A total of 280 individuals were included, from which 144 (51.3%) have IFG; the mean age was 47.14 years and 164 (55.5%) were females. Compared with NGT subjects, the participants with IFG had significantly higher levels of BMI, WHtR, VAI, BAI and TG. The measurements with highest area under the curve were TG, (0.631, 95% confidence interval [CI] 0.566-0.697) VAI (0.628, 95% CI 0.563-0.693) and WHtR (0.622, 95% CI 0.557-0.688) and in the adjusted binary logistic regression model, were found to be independently associated with IFG, Odds Ratio of 2.665, (95% CI 1.567-4.533) 2.567 (95% CI 1.527-4.317) and 2.171 (95% CI 1.102-4.276) respectively. CONCLUSIONS: Our data provide evidence that TG, VAI and WHtR could be considered potential tools for the risk assessment of type 2 diabetes mellitus (T2DM) in this population.