Ontology highlight
ABSTRACT: Background
Sexual and gender minority (SGM) individuals are at heightened risk for substance use and sexually transmitted infections than their non-SGM peers. Collecting mobile phone usage data passively may open new opportunities for personalizing interventions, as behavioral risks could be identified without user input.Objective
This study aimed to determine (1) whether passively sensed mobile phone data can be used to identify substance use and sexual risk behaviors for sexually transmitted infection (STI) and HIV transmission among young SGM who have sex with men, (2) which outcomes can be predicted with a high level of accuracy, and (3) which passive data sources are most predictive of these outcomes.Methods
We developed a mobile phone app to collect participan
SUBMITTER: Beikzadeh M
PROVIDER: S-EPMC12360732 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature