Validity of a Single-Factor Model Underlying the Metabolic Syndrome in Young Adults: Confirmatory Factor Analysis

Autor: Montserrat Solera-Martínez, Pablo Franquelo-Morales, Pablo Moya-Martínez, Sara López-Martínez, Blanca Notario-Pacheco, Natalia María Arias-Palencia, Mairena Sánchez-López, Vicente Martínez-Vizcaíno
Rok vydání: 2011
Předmět:
Zdroj: Revista Española de Cardiología (English Edition). 64:379-384
ISSN: 1885-5857
DOI: 10.1016/j.rec.2010.11.009
Popis: Introduction and objectives To determine by confirmatory factor analysis whether a model of the metabolic syndrome including waist circumference-to-height ratio, as a measure of adiposity, has better goodness of fit than that based on waist circumference alone and, on the basis of the data of the best-fit model, to develop an index of global cardiometabolic risk in young adults. Methods Cross-sectional observational study involving 683 university students aged 18 to 30 years, in their first year at the University of Castilla-La Mancha in Spain, during the 2009-10 academic year. We compared the best fit of 2 models of the metabolic syndrome, both of which included the triglyceride-to-high-density lipoprotein cholesterol ratio, HOMA-IR index, and mean arterial blood pressure, but differed in that one of them used waist circumference, whereas the other used the waist circumference-to-height ratio. A metabolic syndrome index (MSI) was constructed and its association with aerobic capacity, daily physical activity and muscle strength was estimated. Results The single-factor model that included waist circumference was a better indicator of goodness of fit. The MSI was inversely associated with aerobic capacity and muscle strength. Conclusions This study confirms that a single factor underlies the concept of metabolic syndrome; including the waist circumference-to-height ratio does not result in improvements over the model in which waist circumference alone is considered, and the development of a quantitative MSI may be useful for the quantification of cardiometabolic risk in clinical practice.
Databáze: OpenAIRE