Dietary and health risk behaviors for metabolic diseases in different age groups: a cross-sectional study in Chongqing, China.

Background: The study aimed to investigate the relationship between the frequency of metabolic diseases (MetD) and dietary behaviors as well as health risk behaviors in various age groups.

Methods: This Cross-Sectional study involved 12,215 participants, and the relationship between MetD and health risk behaviors was discussed using Pearson chi-square tests and unordered binary logistics regression. The Apriori algorithm was used to explore and analyze the combination patterns of health risk behaviors.