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Background: The aims of this study were to assess the potential of 16 anthropometric, body composition and endocrine indexes as predictors of high liver fat and determine the most appropriate cut‐off points in US adolescents. Methods: A cross‐sectional study was conducted on a population of 816 adolescents aged 12‐17 years. The FibroScan®502V2 device was used to estimate the controlled attenuation parameter (CAP). Body fat percentage, fat mass, trunk fat percentage and trunk fat mass were measured by dual‐energy X‐ray absorptiometry. Anthropometric data and metabolic parameters were determined. Receiver operating characteristic curves were analysed to estimate the optimal cut‐off points that best identify adolescents with high liver fat (CAP ≥90th percentile). Results: In boys, triponderal mass index (TMI) had the highest area under curve (AUC) value (0.865) and the optimal cut‐off score for TMI was 17.47 kg/m3, which had 81.32 sensitivity and 82.99 specificity. In girls, trunk fat index (TFI) had the highest AUC value (0.826) and its optimal cut‐off score in screening for high liver fat was 3.76 kg/m2, which had 74.04 sensitivity and 88.03 specificity. Fat mass index (FMI) index had the second highest AUC values (0.863 in boys 0.812 in girls) in both sex; the cut‐off point for the detection of high liver fat was <8.66 kg/m2 for girls and <7.45 kg/m2 for boys. Conclusion: Assessment of TMI in boys, TFI in girls, and FMI in both sexes are low‐cost and easy‐to‐use parameters that may be useful as early screening tools for possible high liver fat in adolescents. [ABSTRACT FROM AUTHOR]

Background: The metabolic syndrome (MetS), although more frequent in adults, is a growing health problem in adolescent population. There are different criteria for the diagnosis, however without a consensus of which is the best to be used in this population. The heterogeneity of the different diagnostic criteria makes it necessary to carry out more studies that analyse the degree of agreement among these criteria. The present study was aimed to evaluate the agreement between different criteria for diagnosis of MetS in adolescents. Materials and methods: A cross‐sectional study was performed on 981 adolescents (13.2 ± 1.2 years) randomly recruited from 18 schools in south‐east Spain. MetS was diagnosed by eight different criteria. Results: The criteria proposed by the IDF showed the highest mean values for WC and systolic blood pressure in boys and girls with MetS, and the lowest for glucose and triglycerides in boys. Depending on the diagnostic criteria used, the prevalence of MetS cases in boys ranged from 5.5% to 14.9%, while in girls varied from 3.4% to 32.6%. Both in boys and girls, the criteria proposed by the IDF was the less concordant with the other suggested criteria, while those proposed by Duncan et al, Rodriguez‐Moran et al and Cruz and Goran, were very concordant among each other. However, in girls, concordance values were not as high as those found for boys. Conclusion: The variability observed in the agreement among the existing criteria suggests the need to validate uniform criteria for the diagnosis of MetS in adolescents. [ABSTRACT FROM AUTHOR]

Background: Waist circumference has been suggested as predictor for metabolic syndrome (MetS) in adolescents but it has not been compared with newly proposed anthropometric indexes. This study aimed to disclose the capacity of ten classic and novel anthropometric indexes to discriminate by the presence of MetS in this young population. Materials and methods: A cross‐sectional study was performed on 981 adolescents (13.2 ± 1.2 years) randomly recruited from eighteen schools in south‐east Spain. Body fat percentage (BF%), abdominal volume index (AVI), body roundness index (BRI), body mass index (BMI), body adiposity index (BAI), body adiposity index for paediatrics (BAIp), conicity index (C‐Index), waist circumference (WC), waist‐to‐hip ratio (WHR), waist‐to‐height ratio (WHtR) and body shape index (ABSI) were measured and calculated. Receiver‐operator curves (ROC) were created to determine the discriminatory capacity of these anthropometric parameters for MetS. Results: The prevalence of MetS was 7.0% for boys and 6.1% in girls. Participants with MetS had significantly higher levels of blood pressure and plasma levels of lipids, glucose and insulin. All anthropometric indexes were elevated in MetS individuals compared to the non‐MetS group. AVI and WC showed the highest AUC values (0.83 for boys and 0.86 for girls). In contrast, according to ROC analyses, no anthropometric index was capable of discriminating the components of MetS (hypertension, hypertriglyceridemia, hyperglycaemia and low‐HDL levels), except for abdominal obesity. Conclusion: We suggest the use of WC and AVI, with the cut‐off points presented herein, for the discrimination between adolescents with or without MetS. [ABSTRACT FROM AUTHOR]