Exploring dietary behaviors among healthcare providers: based on association rule mining

Abstract

Objective: To identify determinants influencing dietary behaviors of healthcare providers, demonstrate the association patterns between factors, and provide scientific reference for this group to achieve and maintain healthier dietary behaviors. Methods: From July to August 2025, we conducted a cross-sectional survey targeting healthcare providers in a tertiary hospital. Univariate and multivariate analyzes were performed to identify associated factors. Subsequent association rule mining was employed to detect significant factor interaction patterns. Results: We analyzed the dietary behaviors of 1,135 healthcare providers; 81.6% were female and 61.9% were nurses. Nine influencing factors were identified, including age, educational level, and primary dining method. A total of 73 strong association rules were identified, from which experts selected 10 based on clinical knowledge and experience. Conclusion: Healthcare providers’ dietary behaviors are influenced by multi-level factors. To facilitate the adoption of healthy eating behaviors, targeted health promotion programs should be developed to address these influencing factors.