Table 5.

Logistic regression analyses association of sociodemographic factors with knowledge, attitude and practice of e-cigarettes among university students from May to June 2023 in China and Indonesia (N=1327)

Variable	Influencing factors	Total AOR (95% CI)	Country
			China AOR (95% CI)	Indonesia AOR (95% CI)
Knowledge (Poor vs Good)	Medical (Ref: Non-medical)	1.72 (1.277–2.321)**		3.57 (2.36–5.41)**
	Living with smokers (Ref: No)	2.20 (1.536–3.165)**		3.25 (2.09–5.07)**
	Third–fourth years (Ref: First–Second years)			0.45 (0.22–0.93)*
	Close friends use e-cigarettes (Ref: No)	1.39 (1.030–1.894)*
Attitude (Positive vs negative)	>20 years old (Ref: ≤20 years old)	0.61 (0.385–0.968)*
	Rural (Ref: Urban)	0.68 (0.473–0.993)*
	Medical (Ref: Non-medical)		0.59 (0.36–0.99)*
	Living with smokers (Ref: No)	2.43 (1.583–3.736)**		5.29 (2.71–10.32)**
Practice (Use vs Not use)	Male (Ref: Female)	3.07 (1.926–4.914)**	3.82 (1.95–7.5)**	2.96 (1.49–5.91)*
	Medical (Ref: Non-medical)		0.31 (0.19–0.73)*
	Living with smokers (Ref: No)	3.49 (2.24–5.43)**	2.34 (1.15–4.8)*	5.40 (2.92–10.02)**
	Family members use e-cigarettes (Ref: No)	2.98 (1.71–5.2)**	4.05 (1.67–9.86)*	2.60 (1.17–5.79)*

AOR: adjusted odds ratio.

^*p<0.05,

^**p<0.01.