Ontology highlight
ABSTRACT:
SUBMITTER: Radetti G
PROVIDER: S-EPMC9369869 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature
Radetti Giorgio G Grugni Graziano G Lupi Fiorenzo F Fanolla Antonio A Caroli Diana D Bondesan Adele A Sartorio Alessandro A
Journal of clinical medicine 20220801 15
Few data are currently available on the reliability of the different anthropometric, instrumental and biochemical indexes in recognizing the presence of metabolic syndrome (MetS) in children and adolescents with severe obesity. Therefore, the objective of our study was to find out the simplest and most accurate predictive index of MetS in this population at-risk. In 1065 children and adolescents (563 f, 502 m), aged 14.6 ± 2.1 years (range 10-17), with severe obesity [BMI-SDS 3.50 ± 0.36 (range ...[more]