Publication: Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population.
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Identifiers
Date
2018-09-04
Authors
Romero-Saldaña, Manuel
Tauler, Pedro
Vaquero-Abellan, Manuel
Lopez-Gonzalez, Angel-Arturo
Fuentes-Jimenez, Francisco-Jose
Aguilo, Antoni
Alvarez-Fernandez, Carlos
Molina-Recio, Guillermo
Bennasar-Veny, Miquel
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
BMJ Group
Abstract
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. A diagnostic test accuracy to assess the validity of the method was performed. Occupational health services. The studies were conducted in 2012-2016 on a sample of 60 799 workers from the Balearic Islands (Spain). The NCEP-ATP III criteria were used as the gold standard. NIM-MetS has been devised using classification trees (the χ2 automatic interaction detection method). 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). 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). 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.
Description
MeSH Terms
Adult
Age factors
Aged
Anthropometry
Body mass index
Cross-sectional studies
Early diagnosis
Female
Humans
Logistic models
Male
Metabolic syndrome
Middle aged
Occupational health services
ROC curve
Sensitivity and specificity
Sex factors
Spain
Waist circumference
Waist-hip ratio
Young adult
Age factors
Aged
Anthropometry
Body mass index
Cross-sectional studies
Early diagnosis
Female
Humans
Logistic models
Male
Metabolic syndrome
Middle aged
Occupational health services
ROC curve
Sensitivity and specificity
Sex factors
Spain
Waist circumference
Waist-hip ratio
Young adult
DeCS Terms
Antropometría
Circunferencia de la cintura
Curva ROC
Diagnóstico precoz
Factores sexuales
Relación cintura-cadera
Sensibilidad y especificidad
Síndrome metabólico
Índice de masa corporal
Circunferencia de la cintura
Curva ROC
Diagnóstico precoz
Factores sexuales
Relación cintura-cadera
Sensibilidad y especificidad
Síndrome metabólico
Índice de masa corporal
CIE Terms
Keywords
Cardiovascular risk, Early detection, Metabolic syndrome, Non-invasive method, Working population
Citation
Romero-Saldaña M, Tauler P, Vaquero-Abellán M, López-González AA, Fuentes-Jiménez FJ, Aguiló 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 21;8(10):e020476