Additional file 2 of A digital-health multidomain lifestyle management framework and its associations with cardiometabolic health: a real-world observational study

Additional file 2: Table S1. The number of total health recordings and participants in each of the eight main datasets in the program; Table S2. Persistent use for the first year in the program; Table S3. Physiological, psychological, and lifestyle data by age and gender group at baseline; Table S4. Wearable use of participants across age and sex group; Table S5. Blood glucose, blood pressure, and body fat rate reduction over time by initial health status at baseline; Table S6. Associations Between Cardiometabolic Health and the Interactions of Baseline Status, Engagement, and Time Since Enrollment; Table S7. Adjusted Associations Between Blood Pressure, Blood Glucose, Body Composition, Engagement trajectories, and Time Since Enrollment; Table S8. Adjusted Associations Between Blood Pressure, Blood Glucose, Body Composition, Offline Participation, and Time Since Enrollment; Table S9. Adjusted Associations Between Blood Pressure, Blood Glucose, Body Composition, Engagement, and Time Since Enrollment, after inverse-probability-of-censoring weighted; Table S10. Adjusted Associations Between Blood Pressure, Blood Glucose, Body Composition, Engagement, and Time Since Enrollment, restricting to participants with over one year follow-up; Table S11. Mediating analysis of program engagement on BP, and BG through the change in body fat percentage; Figure S1. Flow chart of the study design; Figure S2. BG, BP, and body fat percentage change over 12-month follow-up with each month having at least four measurements