Cross-sectional survey reveals distinct dietary patterns among university members, indicating age, income, and health literacy drive healthy eating behaviors.
Key Points
Investigate eating behavior patterns and identify the sociodemographic and lifestyle determinants of healthy eating awareness among university students and staff.
Analyzed secondary survey data collected in 2025 from a university health database (N=606).
Employed latent class analysis (LCA) to classify participants into distinct dietary behavior subgroups.
Applied binary logistic regression to evaluate associations between eating patterns, sociodemographic characteristics, and health lifestyle factors.
Identified four distinct eating behavior subgroups: unhealthy eaters, passive eaters, conscious eaters, and balanced eaters.
Demonstrated that advancing age and income adequacy were significant positive predictors of healthy dietary choices.
Determined that food label knowledge, body satisfaction, physical exercise, and participation in health-promoting activities were key determinants of healthy eating awareness.