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Binary logistic regression models were utilized to determine the independent predictors (age, sex, monthly income, living place, parental smoking status, close friends smoking status, and the presence of a mental disorder) of electronic cigarette ever-use and dual smoking use (the dependent variables in separate models) (Tables 6, 7)

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Most new users are drawn to these sweeter flavours and as such FDA considers them to be a higher risk

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13 E-cigarettes are also effective in supporting smoking cessation and less harmful than cigarettes, 14 with half of UK vapers reporting using e-cigarettes to stop smoking in 2019