[A multidimensional exploration of metabolic syndrome components]

Area of Science:

• Cardiology
• Metabolic Health
• Public Health

Background:

• Metabolic syndrome is a cluster of conditions increasing cardiovascular disease risk.
• Understanding the underlying factors of metabolic syndrome is crucial for targeted interventions.
• Previous research suggests interconnectedness between anthropometric and metabolic variables.

Purpose of the Study:

• To investigate the clustering of anthropometric and metabolic variables associated with metabolic syndrome.
• To examine these relationships separately for men and women in a Brazilian rural population.
• To identify distinct pathophysiological domains contributing to metabolic syndrome.

Main Methods:

• Factor analysis using principal components analysis with varimax rotation.
• Analysis of data from 579 adult subjects (18-94 years) from two rural Brazilian areas.
• Assessment of anthropometric and metabolic variables linked to cardiovascular risk.

Main Results:

• The analysis identified 3 independent factors explaining over 66% of the variance in both sexes.
• Factor 1 consistently linked obesity with dyslipidemia.
• Factors 2 and 3 associated obesity with blood pressure and insulin resistance, respectively.
• These patterns were consistent across both male and female participants.

Conclusions:

• The findings support the hypothesis of at least 3 pathophysiological domains contributing to metabolic syndrome clustering.
• Obesity is a central component interacting with dyslipidemia, hypertension, and insulin resistance.
• These results provide a framework for understanding metabolic syndrome in this population and potentially others.