BACKGROUND: The question of whether the metabolic syndrome truly reflects a single disease entity with a common underlying pathology remains unclear. In this study, we assess whether metabolic syndrome represents an underlying disease construct in a large population-based sample of Andean Hispanic adults and examine its relationship to subclinical atherosclerosis. METHODS: The study sample was comprised of 2513 participants. Confirmatory factor analysis (CFA) was used to identify a metabolic syndrome latent factor using waist circumference, systolic and diastolic blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides (TGs), and glucose levels as indicators. The relationship with subclinical atherosclerosis, measured by carotid intima media thickness (cIMT), was assessed using structural equation modeling. RESULTS: Results supported the proposed structure of the metabolic syndrome latent factor evidenced by adequate fit indexes. HDL-C did not significantly load on the metabolic syndrome latent factor (standardized factor loading=0.01, P=0.88). The metabolic syndrome latent factor was significantly associated with cIMT in women (B=0.007, P<0.001) and men (B=0.008, P<0.001) after controlling for age, low-density lipoprotein cholesterol and smoking. CONCLUSIONS: Our findings suggest that metabolic syndrome components, such as waist circumference, blood pressure, TGs, and glucose levels, but not HDL-C, share a common underlying pathophysiology that may contribute to the progression of atherosclerosis in Andean Hispanics. Its longitudinal association with cardiovascular disease should be the focus of future research.
BACKGROUND: The question of whether the metabolic syndrome truly reflects a single disease entity with a common underlying pathology remains unclear. In this study, we assess whether metabolic syndrome represents an underlying disease construct in a large population-based sample of Andean Hispanic adults and examine its relationship to subclinical atherosclerosis. METHODS: The study sample was comprised of 2513 participants. Confirmatory factor analysis (CFA) was used to identify a metabolic syndrome latent factor using waist circumference, systolic and diastolic blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides (TGs), and glucose levels as indicators. The relationship with subclinical atherosclerosis, measured by carotid intima media thickness (cIMT), was assessed using structural equation modeling. RESULTS: Results supported the proposed structure of the metabolic syndrome latent factor evidenced by adequate fit indexes. HDL-C did not significantly load on the metabolic syndrome latent factor (standardized factor loading=0.01, P=0.88). The metabolic syndrome latent factor was significantly associated with cIMT in women (B=0.007, P<0.001) and men (B=0.008, P<0.001) after controlling for age, low-density lipoprotein cholesterol and smoking. CONCLUSIONS: Our findings suggest that metabolic syndrome components, such as waist circumference, blood pressure, TGs, and glucose levels, but not HDL-C, share a common underlying pathophysiology that may contribute to the progression of atherosclerosis in Andean Hispanics. Its longitudinal association with cardiovascular disease should be the focus of future research.
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