Waist Circumference and Abdominal Volume Index Can Predict Metabolic Syndrome in Adolescents, but only When the Criteria of the International Diabetes Federation are Employed for the Diagnosis
Metadatos
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Perona, Javier S.; Schmidt Río Valle, Jacqueline; Fernández Aparicio, Ángel; Correa Rodríguez, María; Ramírez Vélez, Robinson; González Jiménez, EmilioEditorial
MDPI
Materia
Anthropometric indexes Diagnosis criteria Metabolic syndrome Adolescents Obesity
Fecha
2019-06-18Referencia bibliográfica
Perona, J.S.; Schmidt-RioValle, J.; Fernández-Aparicio, Á.; Correa-Rodríguez, M.; Ramírez-Vélez, R.; González-Jiménez, E. Waist Circumference and Abdominal Volume Index Can Predict Metabolic Syndrome in Adolescents, but only When the Criteria of the International Diabetes Federation are Employed for the Diagnosis. Nutrients 2019, 11, 1370. [doi:10.3390/nu11061370]
Patrocinador
This work was supported by funds from Grant CEI2015-MP-BS23 from Campus of International Excellence CEIBioTic Granada and by funds from Ministry of Economy and Competitiveness (AGL2011-23810).Resumen
We previously reported, using the diagnostic criteria of the International Diabetes Federation (IDF), that waist circumference (WC) and abdominal volume index (AVI) were capable of predicting metabolic syndrome (MetS) in adolescents. This study was aimed at confirming this finding when other diagnostic criteria are used. A cross-sectional study was performed on 981 Spanish adolescents (13.2 ± 1.2 years). MetS was diagnosed by eight different criteria. Ten anthropometric indexes were calculated and receiver-operator curves (ROC) were created to determine their discriminatory capacity for MetS. Of all diagnostic criteria, the ones proposed by the IDF showed the highest mean values for weight, WC and systolic blood pressure in boys and girls with MetS, and the lowest for glucose and triglycerides in boys. ROC analysis showed that only WC, AVI and body roundness index (BRI) achieved area under the curve (AUC) values above 0.8 in boys, and that fat content, body mass index (BMI), WC, AVI, BRI and pediatric body adiposity index (BAIp) showed AUC values above 0.8 in girls. Importantly, this occurred only when diagnosis was carried out using the IDF criteria. We confirm that WC and AVI can predict MetS in adolescents but only when the IDF’s diagnostic criteria are employed.