Romero-Saldana, ManuelTauler, PedroVaquero-Abellan, ManuelLópez-González, Angel ArturoFuentes-Jimenez, Francisco-JoseAguilo, AntoniAlvarez-Fernandez, CarlosMolina-Recio, GuillermoBennasar-Veny, Miquel2024-09-062024-09-062018-10Romero-Saldana M, Tauler Riera P, Vaquero-Abellan M, Lopez Gonzalez AA, Fuentes-Jimenez FJ, Aguilo A, et al. Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population. BMJ Open. 2018 Oct;8(10):e020476.2044-6055http://hdl.handle.net/20.500.13003/17160https://hdl.handle.net/20.500.12105/22526Objectives A non-invasive method for the early detection of metabolic syndrome (NIM-MetS) using only waist-to-height ratio (WHtR) and blood pressure (BP) has recently been published, with fixed cut-off values for gender and age. The aim of this study was to validate this method in a large sample of Spanish workers. Design A diagnostic test accuracy to assess the validity of the method was performed. Setting Occupational health services. Participants The studies were conducted in 2012-2016 on a sample of 60 799 workers from the Balearic Islands (Spain). Interventions The NCEP-ATP III criteria were used as the gold standard. NIM-MetS has been devised using classification trees (the chi(2) automatic interaction detection method). Main outcome measures Anthropometric and biochemical variables to diagnose MetS. Sensitivity, specificity, validity index and Youden Index were determined to analyse the accuracy of the diagnostic test (NIM-MetS). Results With regard to the validation of the method, sensitivity was 54.7%, specificity 94.9% and the Validity Index 91.2%. The cut-off value for WHtR was 0.54, ranging from 0.51 (lower age group) to 0.56 (higher age group). Variables more closely associated with MetS were WHtR (area under the curve (AUC)=0.85; 95% CI 0.84 to 0.86) and systolic BP (AUC=0.79; 95% CI 0.78 to 0.80)). The final cut-off values for the non-invasive method were WHtR >= 0.56 and BP >= 128/80 mm Hg, which includes four levels of MetS risk (very low, low, moderate and high). Conclusions The analysed method has shown a high validity index (higher than 91%) for the early detection of MetS. It is a non-invasive method that is easy to apply and interpret in any healthcare setting. This method provides a scale of MetS risk which allows more accurate detection and more effective intervention.enghttp://creativecommons.org/licenses/by-nc/4.0/Metabolic SyndromeAnthropometryEarly DiagnosisAgedAge FactorsYoung AdultSpainAdultHumansWaist-Hip RatioMiddle AgedCross-Sectional StudiesOccupational Health ServicesMaleSex FactorsFemaleBody Mass IndexROC Curveresearch articleAttribution-NonCommercial 4.0 International30344164810e02047610.1136/bmjopen-2017-020476BMJ Openopen accessÍndice de Masa CorporalModelos LogísticosRelación Cintura-CaderaSíndrome MetabólicoFemeninoServicios de Salud del TrabajadorDiagnóstico PrecozMasculinoCircunferencia de la CinturaFactores SexualesEstudios TransversalesHumanosPersona de Mediana EdadAdulto JovenFactores de EdadAncianoAntropometríaAdultoEspañaCurva ROCSensibilidad y Especificidad2-s2.0-85055078325454739500026L624555984