Metabolic Syndrome Surveillance Through Hospital Informatics in Northeastern Thailand

Metabolic syndrome (MetS) is an emerging occupational health challenge, particularly among healthcare personnel who face heavy workloads, shift duties, and limited self-care opportunities. This study aimed to determine the prevalence of MetS and its associated behavioral and perceptual factors using hospital informatics data. A descriptive cross-sectional study was conducted among 260 staff at Borabue Hospital, Maha Sarakham Province, Thailand. Clinical data were extracted from the hospital's HOSxP electronic medical record (EMR) system, and behavioral data were collected using validated questionnaires based on the Health Belief Model (HBM) between 16 March and 31 May 2025. The prevalence of MetS was 46.5%. Health belief scores were high (mean 16.5 ± 2.0), while dietary (mean 34.1 ± 6.9) and exercise behaviors (mean 29.5 ± 7.6) were moderate. Dietary behavior and body mass index were significant predictors of MetS. Nearly half of hospital personnel were affected, highlighting occupational vulnerability. Integrating EMR data with behavioral informatics enables real-time risk detection, supports targeted wellness programs, and offers a sustainable model for digital surveillance and personalized health promotion among healthcare workers in Northeastern Thailand.