Análisis dimensional de variables antropométricas y bioquímicas para diagnosticar el síndrome metabólico

Journal Title: MASKANA - Year 2017, Vol 8, Issue 1

Abstract

Metabolic syndrome (MS) is a lifestyle-related condition, and it is linked to the development of diabetes and cardiovascular disease. There are numerous diagnostic criteria of MS; the most used is the diagnostic criterion according to NCEP-ATPIII. Although studies using body mass index and abdominal circumference have been performed to establish a cutoff point for the diagnosis of MS, there is no general index that establishes a cut-off point for this pathology diagnosis. The objective of this study is to propose a dimensionless index that can discriminate subjects with MS using biochemical variables (HDL, triglycerides) and anthropometric variables (weight, height, waist circumference). Three dimensionless indexes were designed and evaluated from the data obtained from the integration of three databases (n=829 subjects). By means of a simple correspondence analysis of the variables and a dimensional analysis based on the π Vaschy-Buckingham theorem, three dimensionless indexes were constructed: π1, π2 and π3. Performance was assessed using Receiver Operating Characteristic (ROC) curves. The index π1, constructed with the variables: Abdominal circumference, triglycerides, weight and height; was the one that obtained a better performance as classifier of MS, presenting an area under the ROC curve of 0.86, a sensitivity and specificity greater than 0.7 and an optimum detection point for the diagnosis of MS of π1<104.87. The π1 dimensionless index designed in this study is a simple method, which requires fewer variables than the NCEP-ATPIII criterion, to diagnose MS.

Authors and Affiliations

Jesús Velásquez, Héctor Herrera, Lorena Encalada, Sara Wong, Erika Severeyn

Keywords

Related Articles

Nuevo método de identificación usando la respuesta escalón para sistemas de fase no mínima de segundo orden

Este artículo presenta un nuevo método de identificación para sistemas de fase no mínima basado en la respuesta escalón. El enfoque propuesto provee un modelo aproximado de segundo orden evitando diseños experimentales...

Impacto de la generación distribuida en la red de distribución

This paper presents a study of the impact of the integration of medium and large-scale photovoltaic systems in a medium voltage distribution network. A first activity was the development and verification of a real feed...

Homogenización computacional aplicada al estudio de suelos tipo conglomerado del austro ecuatoriano

La ciudad de Cuenca, en el Austro Ecuatoriano, está asentada en su mayor parte sobre suelos tipo conglomerado (suelo heterogéneo constituido por una mezcla de materiales entre boleos decimétricos y arcilla). Actualment...

Identificación de elementos para la construcción de un middleware de gestión de dispositivos

El presente artículo describe el proceso realizado y los resultados obtenidos al estudiar las diferentes tecnologías utilizadas para el desarrollo de middleware enfocados en el monitoreo de la actividad diaria de perso...

Modeling the unsaturated flow associated with a border irrigation event on an alfalfa plot

HYDRUS-1D, un modelo unidimensional de movimiento de agua y transporte de solutos, se utilizó en el contexto de un evento de riego por fajas en una parcela de alfalfa ubicada en el polígono de riego de "La Violada" (Es...

Download PDF file
  • EP ID EP42177
  • DOI -
  • Views 280
  • Downloads 0

How To Cite

Jesús Velásquez, Héctor Herrera, Lorena Encalada, Sara Wong, Erika Severeyn (2017). Análisis dimensional de variables antropométricas y bioquímicas para diagnosticar el síndrome metabólico. MASKANA, 8(1), -. https://europub.co.uk/articles/-A-42177