Dietary Behavior Clustering and Cardiovascular Risk Markers in a Large Population Cohort.

ABSTRACT:

Background

Eating habits influence cardiometabolic health alongside traditional dietary measures. However, the links between dietary patterns, body composition, and heart-healthy food preferences remain under-explored in large cohorts.

Methods

In this cross-sectional study, 2461 adults (aged 18 to 75 years) completed an online survey on eating behaviors, food preferences, and lifestyle. Principal component analysis (PCA) of seven behaviors identified dietary profiles. A heart-healthy diet score (range -2 to 10; higher = greater preference for fruit, vegetables, legumes, fish, and less meat/processed meat) was derived from these food preferences. ANOVA and adjusted regressions linked the profiles to BMI, fat mass, waist circumference, and diet score.

Results

Four profi

SUBMITTER: Lombardo M 

PROVIDER: S-EPMC12899149 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature