Related Experiment Video
Updated: Jun 3, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
Published on: August 16, 2024
[Validity of a single-factor model underlying the metabolic syndrome in young adults: confirmatory factor analysis]
Montserrat Solera-Martínez1, Sara López-Martínez, Mairena Sánchez-López
1Centro de Estudios Sociosanitarios, Escuela Universitaria de Enfermería, Universidad de Castilla-La Mancha, Cuenca, España. Montserrat.Solera@uclm.es
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.
More Related Videos
08:27Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
08:51Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
Published on: September 20, 2024
Related Concept Videos
Factorial Design
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Reliability and Validity
Type II Diabetes I: Introduction
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...