Validity of a single-factor model underlying the metabolic syndrome in young adults: confirmatory factor analysis
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...
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Veröffentlicht in: | Revista española de cardiologia 2011-05, Vol.64 (5), p.379-384 |
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Format: | Artikel |
Sprache: | eng ; spa |
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Zusammenfassung: | 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.
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.
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.
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. |
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ISSN: | 1579-2242 |
DOI: | 10.1016/j.recesp.2010.11.010 |