This study investigates gender differences in dietary patterns and physical activity using Principal Component Analysis (PCA). It aims to identify distinct eating and activity behaviors between men and women in order to develop gender-specific interventions that promote better metabolic health. The study was conducted at a metabolic health center in Rome, Italy, with 2,509 participants. Data were collected through questionnaires and body composition assessments, and PCA was applied to classify participants into groups based on their behaviors.
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Principal Component Analysis (PCA)
Timeframe: Cross-sectional assessment at baseline