Articles with "predictors vaping" as a keyword



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A Machine Learning Approach Reveals Distinct Predictors of Vaping Dependence for Adolescent Daily and Non-Daily Vapers in the COVID-19 Era

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Published in 2023 at "Healthcare"

DOI: 10.3390/healthcare11101465

Abstract: Since 2016, there has been a substantial rise in e-cigarette (vaping) dependence among young people. In this prospective cohort study, we aimed to identify the different predictors of vaping dependence over 3 months among adolescents… read more here.

Keywords: non daily; daily non; predictors vaping; vaping dependence ... See more keywords