Table 2 Logistic regression model for adjusted risk ratios (aRR) of smoking cessation a stratified by age—weighted estimates (current smokers at baseline, n = 474).

	All students			Junior high			Senior high
	aRR	95% CI	P value	aRR	95% CI	P value	aRR	95% CI	P value
Unadjusted model
Current use of E-cigarettes at baseline	1.00	0.69–1.47	0.98	0.79	0.42–1.48	0.46	1.05	0.67–1.64	0.84
Adjusted model^a
Current use of E-cigarettes at baseline	0.99	0.66–1.50	0.97	0.72	0.41–1.28	0.27	1.06	0.66–1.72	0.80

aRR, adjusted risk ratios; CES-D Scale, Center for Epidemiologic Studies Depression Scale.
***p value < 0.001; **p value < 0.01; *p value < 0.05.
^aIn this model, 1 is defined as successful smoking cessation and 0 is defined as still a current smoker. Therefore, a risk ratio of > 1 shows an increased probability of smoking cessation and a risk ratio of < 1 shows a decreased probability of smoking cessation. The multivariable logit regression model was adjusted for ever use of other tobacco products, depression (CES-D), peer support, father’s education, mother’s ethnicity, parents’ employment status, sex, age, and family living arrangement.

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