| Literature DB >> 35162695 |
Muhammad Aziz Rahman1,2,3,4, Bindu Joseph1, Naima Nimmi1.
Abstract
The use of electronic cigarettes or vaping is currently increasing in popularity globally. Debate continues regarding their potential role for smoking cessation. We aimed to compare the profiles, use and perceptions of using e-cigarettes amongst online forum users in a developed and a developing country. A cross-sectional survey was conducted among members of different popular online forums in Australia and Bangladesh who were current or ex-users of e-cigarettes. There were 422 study participants, 261 (62%) from Australia and 161 (38%) from Bangladesh. The mean age was 36.3 (±12) years and 83% were men. Australians were more likely to be exclusive users of e-cigarettes (70% vs. 30%, AOR 3.05 [95% CI 1.63-5.71]), but less likely to be dual users of smoking and e-cigarettes (43% vs. 57%, 0.36 [0.19-0.69]); they were also more likely to mention that the perceived reasons for using were their low cost, good taste/flavour, safety and assistance in reducing or quitting smoking (66% vs. 34%, 5.10 [2.04-12.8]), but less likely to mention a social/cool image as a reason for use (23% vs. 77%, 0.11 [0.01-0.87]) compared with Bangladeshi participants. About two-thirds of the participants in both countries perceived the use of e-cigarettes as less addictive than cigarettes and more than three-quarters perceived them as less harmful. E-cigarette users in Australia were more likely to use them to reduce or quit cigarettes compared with those in Bangladesh, and dual use was common in Bangladesh. These findings warrant the consideration of precautions for promoting e-cigarettes as a harm reduction strategy for smoking cessation in developing countries, such as Bangladesh.Entities:
Keywords: Australia; Bangladesh; e-cigarettes; harm reduction; nicotine; tobacco; vaping
Mesh:
Year: 2022 PMID: 35162695 PMCID: PMC8834803 DOI: 10.3390/ijerph19031673
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of the study participants.
| Characteristics | All Population | Australia | Bangladesh |
|
|---|---|---|---|---|
| Total, N (%) | Total, n (%) | Total, n (%) | ||
| Total participants | 422 | 261 | 161 | |
| Age (years) | 361 | 224 | 137 | |
| Mean (±SD) | 36.3 (12.0) | 41.3 (11.7) | 28.1 (7.2) | |
| Age groups (years) | 361 | 224 | 137 |
|
| 18–30 | 134 (37.1) | 40 (17.9) | 94 (68.6) | |
| 31–50 | 169 (46.8) | 129 (57.6) | 40 (29.2) | |
| >51 | 58 (16.1) | 55 (24.6) | 3 (2.2) | |
| Gender | 419 | 259 | 160 |
|
| Men | 349 (83.3) | 191 (73.7) | 158 (98.8) | |
| Women | 70 (16.7) | 68 (26.3) | 2 (1.3) | |
| Location of residence | 421 | 261 | 160 |
|
| Metropolitan/urban | 329 (78.1) | 177 (67.8) | 152 (95.0) | |
| Regional/rural | 92 (21.9) | 84 (32.2) | 8 (5.0) | |
| Marital status | 421 | 260 | 161 |
|
| Single | 153 (36.3) | 59 (22.7) | 94 (58.4) | |
| Married/partnered | 248 (58.9) | 182 (70.0) | 66 (41.0) | |
| Divorced/widowed | 20 (4.8) | 19 (7.3) | 1 (0.6) | |
| Level of education | 422 | 261 | 161 |
|
| Primary or secondary school | 106 (25.1) | 93 (35.6) | 13 (8.1) | |
| Undergraduate (certificate/diploma/bachelor’s) | 255 (60.4) | 152 (58.2) | 103 (64.0) | |
| Postgraduate (master’s and above) | 61 (14.5) | 16 (6.1) | 45 (28.0) | |
| Primary occupation | 421 | 260 | 161 |
|
| Student | 66 (15.7) | 11 (4.2) | 55 (34.2) | |
| Have an income source (job/business) | 266 (63.2) | 168 (64.6) | 98 (60.9) | |
| Retired | 34 (8.1) | 34 (13.1) | 0 (0) | |
| Not working | 55 (13.1) | 47 (18.1) | 8 (5.0) | |
| Weekly income (average in AUD) | 412 | 255 | 157 |
|
| ≤500 | 185 (44.9) | 72 (28.2) | 113 (72.0) | |
| 501–1000 | 100 (24.3) | 72 (28.2) | 28 (17.8) | |
| >1000 | 127 (30.8) | 111 (43.5) | 16 (10.2) | |
| Behavioural factors (multiple responses) | 422 | 261 | 161 | |
| Drinks alcohol | 76 (18.0) | 61 (23.4) | 15 (9.3) |
|
| Performs less physical activity | 156 (37.0) | 86 (33.0) | 70 (43.5) |
|
| Consumes less fruits and vegetables | 151 (35.8) | 82 (31.4) | 69 (42.9) |
|
The p values in Italics indicate statistical significance (p < 0.05).
Smoking behaviour of the study participants.
| Characteristics | All Population | Australia | Bangladesh |
|
|---|---|---|---|---|
| Total, N (%) | Total, n (%) | Total, n (%) | ||
| Total participants | 422 | 261 | 161 | |
| Smoking cigarettes in last 30 days | 421 | 260 | 161 |
|
| None | 308 (73.2) | 214 (82.3) | 94 (58.4) | |
| Daily | 46 (10.9) | 19 (7.3) | 27 (16.8) | |
| Not daily/occasional | 67 (15.9) | 27 (10.4) | 40 (24.8) | |
| Current smokers | ||||
| Number of cigarettes smoked in last 30 days | 107 | 45 | 62 | 0.412 |
| 1 or less | 58 (54.2) | 24 (53.3) | 34 (54.8) | |
| 2 to 9 | 33 (30.8) | 12 (26.7) | 21 (33.9) | |
| 10 or more | 16 (15.0) | 9 (20.0) | 7 (11.3) | |
| Duration of smoking cigarettes (years) | 93 | 38 | 55 |
|
| Mean (±SD) | 13.0 (9.1) | 18.3 (9.7) | 9.4 (6.7) | |
| Tried to quit smoking cigarettes in the last 12 months | 108 | 46 | 62 | 0.098 |
| No | 24 (22.2) | 12 (26.1) | 12 (19.4) | |
| Yes, tried 1–10 times | 71 (65.7) | 32 (69.6) | 39 (62.9) | |
| Yes, tried >10 times | 13 (12.0) | 2 (4.3) | 11 (17.7) | |
| Ex-smokers | ||||
| Stopped smoking cigarettes | 308 | 214 | 94 |
|
| 1–6 months ago | 99 (32.1) | 65 (30.4) | 34 (36.2) | |
| 7–12 months ago | 58 (18.8) | 37 (17.3) | 21 (22.3) | |
| 13–60 months ago | 117 (38.0) | 88 (41.1) | 29 (30.9) | |
| >60 months ago | 27 (8.8) | 24 (11.2) | 3 (3.2) | |
| Never smoked | 7 (2.3) | 0 (0) | 7 (7.4) | |
| Duration of smoking cigarettes (years) | 282 | 201 | 81 |
|
| Mean (±SD) | 21.0 (11.9) | 24.6 (11.5) | 12.0 (7.3) | |
| Strategies used in the attempt to quit smoking cigarettes (multiple responses) | 415 | 261 | 154 | |
| None | 76 (18.3) | 12 (4.6) | 64 (41.6) |
|
| Nicotine replacement products (e.g., gum, lozenge, mouth spray) | 244 (58.8) | 218 (83.5) | 26 (16.9) |
|
| Quitting medication (e.g., champix, zyban) | 134 (32.3) | 131 (50.2) | 3 (1.9) |
|
| Cold turkey (quitting abruptly) | 249 (60.0) | 221 (84.7) | 28 (18.2) |
|
| Cutting down (reducing the number/frequency) | 281 (67.7) | 216 (82.8) | 65 (42.2) |
|
| Counselling from professionals | 84 (20.2) | 77 (29.5) | 7 (4.5) |
|
The p values in Italics indicate statistical significance (p < 0.05).
Use of electronic cigarettes or vaping among the study participants.
| Characteristics | All Population | Australia | Bangladesh |
|
|---|---|---|---|---|
| Total, N (%) | Total, n (%) | Total, n (%) | ||
| Total participants | 422 | 261 | 161 | |
| Using e-cigarettes in last 30 days | 416 | 261 | 155 |
|
| None | 5 (1.2) | 2 (0.8) | 3 (1.9) | |
| Daily | 392 (94.2) | 255 (97.7) | 137 (88.4) | |
| Not daily/occasional | 19 (4.6) | 4 (1.5) | 15 (9.7) | |
| Amount of e-liquid/juice used per day (mL/day) | 156 | 102 | 54 |
|
| Mean (±SD) | 8.2 (7.6) | 9.1 (7.6) | 6.4 (7.3) | |
| Nicotine in e-liquid/juice | 280 | 199 | 81 | 0.085 |
| No | 18 (6.4) | 16 (8.0) | 2 (2.5) | |
| Yes | 262 (93.6) | 183 (92.0) | 79 (97.5) | |
| Nicotine strength in e-liquid/juice (mg/mL) | 142 | 92 | 50 | 0.050 |
| Mean (±SD) | 6.4 (9.1) | 7.5 (11.1) | 4.3 (2.0) | |
| Duration of using e-cigarettes (months) | 337 | 221 | 116 | 0.457 |
| Mean (±SD) | 21.9 (32.6) | 22.8 (22.0) | 20.1 (46.7) | |
| Frequency of use per day | 243 | 137 | 106 |
|
| Mean (±SD) | 23.8 (32.1) | 29.4 (35.9) | 16.5 (24.8) | |
| Reasons for using e-cigarettes (multiple responses) | 411 | 259 | 152 | |
| Low cost | 173 (42.1) | 166 (64.1) | 7 (4.6) |
|
| Good taste/flavour | 211 (51.3) | 149 (57.1) | 62 (40.8) |
|
| Safe to use | 160 (38.9) | 124 (47.5) | 36 (23.7) |
|
| Can be used indoors/in smokefree areas | 131 (31.9) | 82 (31.7) | 49 (32.2) | 0.904 |
| Social/cool image | 13 (3.2) | 3 (1.2) | 10 (6.6) |
|
| To reduce/quit cigarette smoking | 374 (91.0) | 246 (95.0) | 128 (84.2) |
|
| Others | 31 (7.5) | 27 (10.4) | 4 (2.6) |
|
| Ever tried quitting e-cigarettes | 410 | 258 | 152 |
|
| No | 360 (87.8) | 22 (8.5) | 28 (18.4) | |
| Yes | 50 (12.2) | 236 (91.5) | 124 (81.6) | |
| Perceived addictiveness of e-cigarettes | 409 | 257 | 152 |
|
| Not addictive | 106 (25.9) | 73 (28.4) | 33 (21.7) | |
| As addictive as cigarettes | 33 (8.1) | 9 (3.5) | 24 (15.8) | |
| Less addictive than cigarettes | 270 (66.0) | 175 (68.1) | 95 (62.5) | |
| Intend to stop using e-cigarettes in the next 5 years | 410 | 258 | 152 |
|
| No | 88 (21.5) | 81 (31.4) | 35 (23.0) | |
| Maybe | 206 (50.2) | 112 (43.4) | 94 (61.8) | |
| Yes | 116 (28.3) | 65 (25.2) | 23 (15.1) | |
| Perceived health effects of using e-cigarettes | 410 | 258 | 152 | 0.282 |
| No harmful health effects | 79 (19.3) | 45 (17.4) | 34 (22.4) | |
| Less harmful than cigarettes | 329 (80.2) | 212 (82.2) | 117 (77.0) | |
| Same harmful as cigarettes | 1 (0.2) | 1 (0.4) | 0 (0) | |
| More harmful than cigarettes | 1 (0.2) | 0 (0) | 1 (0.7) |
The p values in Italics indicate statistical significance (p < 0.05).
Comparing the use of electronic cigarettes or vaping between the study participants in Australia and Bangladesh.
| Characteristics | Total, N | Australia | Bangladesh | Unadjusted Analyses | Adjusted Analyses * | ||||
|---|---|---|---|---|---|---|---|---|---|
| Total, n (%) | Total, n (%) |
| OR | 95% CI |
| AOR | 95% CI | ||
| Total participants | 422 | 261 | 161 | ||||||
| Smoking behaviour | 422 | 261 | 161 | ||||||
| Not used cigarettes or e-cigarettes | 5 | 2 (40.0) | 3 (60.0) | 0.327 | 0.41 | 0.07–2.46 | 0.853 | 0.79 | 0.07–9.59 |
| Only used cigarettes (exclusive users of cigarettes) | 6 | 0 (0) | 6 (100) | NA | NA | NA | NA | NA | NA |
| Only used e-cigarettes (exclusive users of e-cigarettes) | 304 | 213 (70.1) | 91 (29.9) |
|
|
|
|
|
|
| Used both cigarettes and e-cigarettes (dual users) | 107 | 46 (43.0) | 61 (57.0) |
|
|
|
|
|
|
| Nicotine in e-liquid/juice | 280 | 199 | 81 | ||||||
| No | 18 | 16 (88.9) | 2 (11.1) | 1 | 1 | ||||
| Yes | 262 | 183 (69.8) | 79 (30.2) | 0.104 | 0.29 | 0.07–1.29 | 0.939 | 1.08 | 0.15–7.54 |
| Reasons for using e-cigarettes (multiple responses) | 411 | 259 | 152 | ||||||
| Low cost | 173 | 166 (96.0) | 7 (4.0) |
|
|
|
|
|
|
| Good taste/flavour | 211 | 149 (70.6) | 62 (29.4) |
|
|
|
|
|
|
| Safe to use | 160 | 124 (77.5) | 36 (22.5) |
|
|
|
|
|
|
| Can be used indoors/in smokefree areas | 131 | 82 (62.6) | 49 (37.4) | 0.904 | 0.97 | 0.63–1.50 | 0.319 | 1.37 | 0.74–2.53 |
| Social/cool image | 13 | 3 (23.1) | 10 (76.9) |
|
|
|
|
|
|
| To reduce/quit cigarette smoking | 374 | 246 (65.8) | 128 (34.2) |
|
|
|
|
|
|
| Perceived addictiveness of e-cigarettes | 409 | 257 | 152 | ||||||
| Not addictive | 33 | 9 (27.3) | 24 (72.7) | 0.136 | 1.43 | 0.89–2.29 | 0.712 | 0.88 | 0.46–1.70 |
| Less addictive than cigarettes | 270 | 175 (64.8) | 95 (35.2) | 0.249 | 1.28 | 0.84–1.95 | 0.234 | 1.43 | 0.79–2.60 |
| As addictive as cigarettes | 106 | 73 (68.9) | 33 (31.1) |
|
|
| 0.164 | 0.48 | 0.17–1.35 |
| Perceived health effects of using e-cigarettes | 410 | 258 | 152 | ||||||
| No harmful health effects | 79 | 45 (57.0) | 34 (43.0) | 0.223 | 0.73 | 0.45–1.21 | 0.074 | 0.52 | 0.25–1.07 |
| Less harmful than cigarettes | 329 | 212 (64.4) | 117 (35.6) | 0.203 | 1.38 | 0.84–2.26 | 0.059 | 1.99 | 0.97–4.08 |
| Same harmful as cigarettes | 1 | 1 (100) | 0 (0) | NA | NA | NA | NA | NA | NA |
| More harmful than cigarettes | 1 | 0 (0) | 1 (100) | NA | NA | NA | NA | NA | NA |
| Intend to stop using e-cigarettes in the next five years | 410 | 258 | 152 | ||||||
| No | 88 | 65 (73.9) | 23 (26.1) | 1 | 1 | ||||
| Yes | 322 | 193 (59.9) | 129 (40.1) |
|
|
| 0.152 | 0.59 | 0.28–1.22 |
OR: odds ratio, AOR: adjusted odds ratio, 95% CI: 95% confidence interval, NA: Not Available due to small or nil cell counts; * Adjusted for: gender, level of education and primary occupation. The values in Italics indicate statistical significance.