Prospective predictors of electronic nicotine delivery system initiation in tobacco naive young adults: A machine learning approach.

ABSTRACT: The use of electronic nicotine delivery systems (ENDS) is increasing among young adults. However, there are few studies regarding predictors of ENDS initiation in tobacco-naive young adults. Identifying the risk and protective factors of ENDS initiation that are specific to tobacco-naive young adults will enable the creation of targeted policies and prevention programs. This study used machine learning (ML) to create predictive models, identify risk and protective factors for ENDS initiation for tobacco-naive young adults, and the relationship between these predictors and the prediction of ENDS initiation. We used nationally representative data of tobacco-naive young adults in the U.S drawn from the Population Assessment of Tobacco and Health (PATH) longitudinal cohort survey. Respondents

SUBMITTER: Atuegwu NC 

PROVIDER: S-EPMC9971268 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature