Supplementary file 1_Digital health engagement profiles and physical activity guideline adherence among adults in the United States: a latent class analysis.docx

Prior population-based studies have typically examined single digital health behaviors, particularly wearable use, rather than combinations of behaviors that may cluster within individuals.</p>Methods<p>We analyzed 2024 Health Information National Trends Survey (HINTS 7) data from U.S. adults.

Latent class analysis was applied to 17 binary indicators across five digital health domains among 5,804 respondents with complete coded digital health indicator data. Associations between profile membership and adherence to the Physical Activity Guidelines for Americans were examined using survey-weighted logistic regression among 4,930 respondents with complete physical activity outcome and covariate data. The primary outcome was concurrent adherence to both aerobic and muscle-strengthening guidelines; aerobic and muscle-strengthening adherence were examined separately as secondary outcomes.</p>Results<p>Four profiles were identified: Broad Multidomain Engagement (32.0%), Wearable-Centered Engagement (11.8%), Portal-Centered Engagement (34.3%), and Limited Engagement (21.9%; reference), with high classification quality (entropy = 0.911).