Patterns of digital health access and use among US adults: A latent class analysis.

ABSTRACT:

Background

Digital technologies allow users to engage in health-related behaviors associated with positive outcomes. We aimed to identify classes of US adults with distinct digital technologies access and health use patterns and characterize class composition. Data came from Health Information National Trends Survey Wave 5 Cycles 1-4, a nationally representative cross-sectional survey of US adults (N=13,993). We used latent class analysis to identify digital technologies access and health use patterns based on 32 ternary variables of behaviors and access to requisite technologies and platforms, including the internet, internet-enabled devices, health monitors, and electronic health records (EHRs). We ran a multinomial logistic regression to identify sociodemographic and heal

SUBMITTER: Hegeman P 

PROVIDER: S-EPMC11562959 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature