Table 3.
Factors associated with awareness and ever use of e-cigarettes among adult residents of Shanghai, China, 2019
| Variable | Awareness of e-cigarettes (N=3060) | Ever use of e-cigarettes (N=3060) | Ever use of e-cigarettes (N=1896) | |||
|---|---|---|---|---|---|---|
| AORa | 95% CI | AORa | 95% CI | AORb | 95 % CI | |
| Gender | ||||||
| Male | 1.1 | 0.8–1.6 | 1.1 | 0.3–3.7 | 1.0 | 0.3–3.6 |
| Female (Ref.) | ||||||
| Age (years) | ||||||
| 15–24 | 4.3 | 2.2–8.6 | 12.9 | 3.8–43.4 | 4.4 | 1.2–16.0 |
| 25–44 | 2.6 | 1.6–4.4 | 5.9 | 2.5–13.9 | 3.8 | 1.6–9.1 |
| 45–64 | 1.3 | 1.0–1.6 | 1.6 | 0.7–3.5 | 1.3 | 0.6–2.8 |
| ≥65 (Ref. ) | ||||||
| Education level | ||||||
| Primary school or lower (Ref.) | ||||||
| Junior high school | 3.9 | 2.9–5.3 | 1.4 | 0.5–4.3 | 0.8 | 0.3–2.8 |
| Senior high school | 7.4 | 5.3–10.3 | 1.0 | 0.4–3.0 | 0.7 | 0.2–2.3 |
| College degree or higher | 9.5 | 6.3–14.5 | 1.2 | 0.4–3.8 | 0.7 | 0.2–2.4 |
| Occupation | ||||||
| Government employee, teacher, healthcare provider | 0.8 | 0.4–1.5 | 0.6 | 0.2–1.7 | 0.6 | 0.2–1.7 |
| Factory, business, service industry employee | 0.9 | 0.6–1.2 | 1.0 | 0.5–1.9 | 0.9 | 0.5–1.8 |
| Not in the labor force (Ref.) | ||||||
| Income (RMB) | ||||||
| <30000 (Ref.) | ||||||
| 30000–49999 | 1.3 | 0.8–1.9 | 1.2 | 0.4–3.9 | 1.2 | 0.3–4.1 |
| 50000–99999 | 1.8 | 1.2–2.6 | 1.0 | 0.3–3.0 | 0.9 | 0.3–2.9 |
| ≥100000 | 1.8 | 1.2–2.7 | 1.6 | 0.6–4.9 | 1.3 | 0.5–3.7 |
| Unwilling to disclose | 1.5 | 1.0–2.2 | 1.9 | 0.6–6.2 | 1.9 | 0.5–7.0 |
| Smoking status | ||||||
| Never smoker (Ref.) | ||||||
| Current smoker | 2.7 | 1.7–4.2 | 62.9 | 19.2–206.0 | 63.5 | 18.5–217.4 |
| Former smoker | 1.8 | 1.2–2.7 | 29.7 | 7.9–112.0 | 26.0 | 7.0–95.9 |
| Perceived harmfulness compared with traditional cigarettes | ||||||
| E-cigarettes less harmful (Ref.) | ||||||
| E-cigarettes similarly harmful | 0.5 | 0.3–1.0 | ||||
| E-cigarettes more harmful | 0.2 | 0.1–0.5 | ||||
| Do not know | 0.3 | 0.1–0.5 | ||||
AOR: adjusted odds ratio.
All samples, adjusted for gender, age, education, occupation, income, and smoking status.
Among respondents who had heard of e-cigarettes, adjusted for gender, age, education level, occupation, income, smoking status, and perceived harmfulness. RMB: 1000 Chinese Renminbi about US$140.