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. 2020 Mar 30;18:26. doi: 10.18332/tid/118720

Table 3.

Association between long-term e-cigarette usage and profiles of e-cigarette users, Malaysia 2018 (N=694)

Characteristics Long-term e-cigarette usage pa OR 95% CI p

Yes n (%) No n (%)
Age (years)
>30 383 (67.1) 55 (44.7) <0.001* 2.5 1.7–3.3 <0.001*
≤30 188 (32.9) 68 (55.3)
Ethnicity
Malays 502 (87.9) 106 (86.2) 0.596 1.2 0.7–2.1 0.596
Non-Malays 69 (12.1) 17 (13.8)
Education level
Tertiary education 412 (72.2) 81 (65.9) 0.162 1.4 0.9–2.0 0.163
Secondary education or less 159 (27.8) 42 (34.1)
Employment status
Employed 537 (94.0) 109 (88.6) 0.031* 2.0 1.1–3.9 0.034*
Unemployed 34 (6.8) 14 (11.4)
Marital status
Married 402 (70.4) 71 (57.7) 0.006* 1.7 1.1–2.5 0.007*
Single 169 (29.6) 52 (42.3)
Monthly household income (MYR)
>4000 257 (45.0) 44 (35.8) 0.061 1.4 0.9–2.0 0.062
≤4000 314 (55.0) 79 (64.2)
Current smoker
Yes 49 (8.6) 21 (17.1) 0.005* 0.5 0.3–0.8 0.005*
No 522 (91.4) 102 (82.9)
Former smoker
Yes 494 (86.5) 90 (73.2) <0.001* 2.4 1.5–3.7 <0.001*
No 77 (13.5) 33 (26.8)

Predicted outcome category is long-term e-cigarette usage ≥2 years. OR: odds ratio.

*

Significant at p<0.05.

a

P-value based on chi-squared test. MYR: 1000 Malaysian Ringgit about 240 US$.