| Literature DB >> 34888689 |
Elliot J Cornish1, Leonie S Brose1,2, Ann McNeill1,2.
Abstract
BACKGROUND: Tobacco industry (TI) companies have entered the UK e-cigarette ("vaping") market in recent years. However, their motives and ambitions are unclear. This study explored how popular TI vaping products are and who uses them, and how they differ from independent products.Entities:
Mesh:
Year: 2022 PMID: 34888689 PMCID: PMC9199949 DOI: 10.1093/ntr/ntab253
Source DB: PubMed Journal: Nicotine Tob Res ISSN: 1462-2203 Impact factor: 5.825
Key Characteristics of the Sample With Tobacco Industry (TI) Brand and Independent Brand Breakdown (n = 1202)
| Measure | Full sample % ( | Tobacco industry brand % ( | Independent brand % ( |
|---|---|---|---|
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| Male | 52.7 (634) | 52.2 (335) | 53.4 (299) |
| Female | 47.3 (568) | 47.8 (307) | 46.6 (261) |
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| 18–24 | 9.3 (112) | 11.8 (76) | 6.4 (36) |
| 25–34 | 22.0 (264) | 24.3 (156) | 19.3 (108) |
| 35–44 | 23.0 (276) | 23.5 (151) | 22.3 (125) |
| 45–54 | 22.7 (273) | 20.6 (132) | 25.2 (141) |
| 55–65 | 14.6 (176) | 12.6 (81) | 17.0 (95) |
| 66 and above | 8.4 (101) | 7.2 (46) | 9.8 (55) |
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| Prim/sec | 6.2 (74) | 3.9 (25) | 8.8 (49) |
| Sec adv | 20.0 (241) | 17.9 (115) | 22.5 (126) |
| FE/training/below degree level | 20.8 (250) | 18.2 (117) | 23.8 (133) |
| Some university | 8.5 (102) | 8.3 (53) | 8.8 (49) |
| University degree | 26.5 (319) | 29.8 (191) | 22.9 (128) |
| Post-grad degree | 17.5 (210) | 21.7 (139) | 12.7 (71) |
| No answer | 0.5 (6) | 0.3 (2) | 0.7 (4) |
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| White | 89.4 (1075) | 86.4 (555) | 92.9 (520) |
| Black, Asian & other minority ethnic groups | 9.7 (116) | 12.6 (81) | 6.3 (35) |
| No answer | 0.9 (11) | 0.9 (6) | 0.9 (5) |
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| London | 16.6 (200) | 21.5 (138) | 11.1 (62) |
| England (excl. London) | 68.4 (822) | 65.9 (423) | 71.3 (399) |
| Northern Ireland | 1.9 (23) | 1.4 (9) | 2.5 (14) |
| Scotland | 8.9 (107) | 7.5 (48) | 10.5 (59) |
| Wales | 4.2 (50) | 3.7 (24) | 4.6 (26) |
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| Daily smoker | 44.0 (529) | 54.2 (348) | 32.3 (181) |
| Nondaily smoker | 16.4 (197) | 19.2 (123) | 13.2 (74) |
| Ex-smoker (< 12 months) | 10.7 (129) | 9.7 (62) | 12.0 (67) |
| Ex-smoker (> 12 months) | 28.9 (347) | 17.0 (109) | 42.5 (238) |
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| Daily vaper | 65.8 (791) | 56.5 (363) | 76.4 (428) |
| Nondaily vaper | 34.2 (411) | 43.5 (279) | 23.6 (132) |
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| None | 7.6 (65) | 5.1 (27) | 11.8 (38) |
| Slight | 8.9 (76) | 6.9 (37) | 12.1 (39) |
| Moderate | 42.2 (361) | 43.7 (233) | 39.8 (128) |
| Strong | 25.7 (220) | 27.8 (148) | 22.4 (72) |
| Very strong | 10.3 (88) | 11.8 (63) | 7.8 (25) |
| Extremely strong | 5.3 (45) | 4.7 (25) | 6.2 (20) |
Each column provides column percentages.
* Ex-smokers who quit more than 12 months ago (n = 347) were not asked this question.
Associations Between Sociodemographics, Smoking/Vaping Status and Use of Tobacco Industry Brands (n = 1185*)
| Unadjusted (bivariate) | Adjusted (multivariable) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | n | % using TI vape | OR | 95% CI |
| OR | 95% CI |
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| Male (ref) | 623 | 53.0 | 1 | 1 | Ref | 1 | 1 | Ref |
| Female | 562 | 54.1 | 1.05 | 0.832–1.315 | .699 | 1.09 | 0.849–1.399 | .501 |
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| 18–44 (ref) | 638 | 58.9 | 1 | 1 | Ref | 1 | 1 | Ref |
| 45 and above | 547 | 47.2 |
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| 0.94 | 0.723–1.220 | .637 |
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| No university (ref) | 562 | 45.4 | 1 | 1 | Ref | 1 | 1 | Ref |
| Some university | 623 | 60.8 |
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| White (ref) | 1069 | 51.7 | 1 | 1 | Ref | 1 | 1 | Ref |
| Black, Asian and other minority ethnic groups | 116 | 69.8 |
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| 1.38 | 0.886–2.148 | .155 |
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| London (ref) | 195 | 68.7 | 1 | 1 | Ref | 1 | 1 | Ref |
| Engl exc London | 814 | 51.6 |
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| Other GB Countries | 176 | 45.5 |
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| Current smoker (ref) | 716 | 65.1 | 1 | 1 | Ref | 1 | 1 | Ref |
| Ex-smoker | 469 | 35.8 |
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| Daily vaper (ref) | 781 | 46.1 | 1 | 1 | Ref | 1 | 1 | Ref |
| Nondaily vaper | 404 | 67.8 |
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Other GB countries = Northern Ireland, Scotland and Wales. CI: confidence interval; Ref: reference group; OR: odds ratio. Significant associations (p < .05) are highlighted in bold.* n for Table 2 is reduced by 17 due to missing data (ethnicity: n = 11, education n = 6)
Associations Between Sociodemographics, Smoking/Vaping Status and Urges to Smoke With Use of Tobacco Industry Brands Among Smokers and Ex-smokers Who Stopped Within the Last 12 Months, Long-term Ex-smokers Excluded (n = 843.).
| Unadjusted (bivariate) | Adjusted (multivariable) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | n | % using TI vape | OR | 95% CI |
| OR | 95% CI |
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| Male (ref) | 448 | 62.7 | 1 | 1 | Ref | 1 | 1 | Ref |
| Female | 395 | 62.0 | 0.97 | 0.734–1.283 | .835 | 1.06 | 0.785–1.422 | .717 |
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| 18–44 (ref) | 533 | 63.4 | 1 | 1 | Ref | 1 | 1 | Ref |
| 45 and above | 310 | 60.6 | 0.89 | 0.667–1.186 | .424 | 1.09 | 0.796–1.494 | .589 |
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| No university (ref) | 362 | 55.5 | 1 | 1 | Ref | 1 | 1 | Ref |
| Some university | 481 | 67.6 |
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| White (ref) | 738 | 60.8 | 1 | 1 | Ref | 1 | 1 | Ref |
| Black, Asian and other minority ethnic groups | 105 | 73.3 |
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| 1.52 | 0.938–2.462 | .089 |
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| London (ref) | 161 | 73.9 | 1 | 1 | Ref | 1 | 1 | Ref |
| Engl exc London | 556 | 61.2 |
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| 0.67 | 0.443–1.003 | .052 |
| Other GB Countries | 126 | 53.2 |
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| Current smoker (ref) | 716 | 65.1 | 1 | 1 | Ref | 1 | 1 | Ref |
| Ex-smoker | 127 | 47.2 |
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| 0.71 | 0.459–1.111 | .135 |
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| Daily vaper (ref) | 488 | 58.2 | 1 | 1 | Ref | 1 | 1 | Ref |
| Nondaily vaper | 355 | 68.2 |
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| Not at all (ref) | 65 | 41.5 | 1 | 1 | Ref | 1 | 1 | Ref |
| Slight | 76 | 48.7 | 1.34 | 0.685–2.603 | .396 | 1.06 | 0.527–2.120 | .877 |
| Moderate | 356 | 64.6 |
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| Strong | 215 | 67.4 |
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| Very strong | 86 | 72.1 |
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| Extremely strong | 45 | 55.6 | 1.76 | 0.817–3.790 | .149 | 1.24 | 0.545–2.810 | .611 |
Other GB countries = Northern Ireland, Scotland and Wales. CI: confidence interval; Ref = reference group; OR: odds ratio. Significant associations (p < .05) are highlighted in bold.
Characteristics of Tobacco Industry and Independent Vaping Products (n = 1202)
| Variable | Total % (n) | Tobacco industry brand % ( | Independent industry brand % ( | χ² (d.f.), |
|---|---|---|---|---|
|
| χ² (3) = 245.35, | |||
| Disposable | 8.5 (102) |
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| Cartridges/Pods | 32.5 (391) |
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| Refillable tank system | 43.8 (527) |
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| Modular | 14.3 (172) |
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| Don’t know | 1.1 (10) | 7 | 3 | |
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| χ² (2) = 25.04, | |||
| Using | 12.9 (155) |
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| Not using | 14.1 (169) |
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| Not aware / don’t know | 73.0 (878) | 72.4 (465) | 73.8 (413) | |
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| χ² (2) = 4.41, | |||
| Using | 15.4 (185) | 14.2 (91) | 16.8 (94) | |
| Not using | 17.8 (214) | 16.4 (105) | 19.5 (109) | |
| Not aware / don’t know | 66.8 (803) | 69.5 (446) | 63.7 (357) | |
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| χ² (5) = 21.87, | |||
| No nicotine | 7.2 (87) | 6.4 (39) | 8.1 (48) | |
| 1 to 8 mg/ml (0.1% to 0.8%) | 35.7 (429) |
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| 9 to 14 mg/ml (0.9% to 1.4%) | 26.5 (318) |
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| 15 to 20 mg/ml (1.5% to 2.0%) | 24.6 (296) | 23.5 (144) | 25.8 (152) | |
| 21 to 24 mg/ml (2.1% to 2.4%) | 2.7 (33) | 3.6 (22) | 1.9 (11) | |
| 25 mg/ml (2.5%) or more | 2.7 (32) | 3.6 (22) | 1.7 (10) | |
| Don’t know | 0.6 (7) | 0.7 (4) | 0.5 (3) | |
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| Fruit | 24.3 (482) | 22.6 (240) | 26.3 (242) | χ² (1) = 4.23, |
| Tobacco | 21.0 (417) | 23.8 (252) | 17.9 (165) | χ² (1) = 12.65, |
| Menthol/Mint | 18.1 (358) | 17.0 (180) | 19.3 (178) | χ² (1) = 2.01, |
| Chocolate, dessert and sweet candy | 9.1 (180) | 7.5 (79) | 11.0 (101) | χ² (1) = 7.71, |
| Vanilla | 8.2 (162) | 8.5 (90) | 7.8 (72) | χ² (1) = 0.346, |
| Tobacco and menthol | 7.0 (139) | 8.2 (87) | 5.6 (52) | χ² (1) = 5.32, |
| Coffee | 6.2 (122) | 6.8 (72) | 5.4 (50) | χ² (1) = 1.72, |
| Drink or no flavor | 6.1 (121) | 5.7 (60) | 6.6 (61) | n/a |
Each column provides column percentages. Bold font indicates cells associated with adjusted residuals greater than ±2.58 (α = 0.01)
a Chi-square excludes n = 10 who responded don’t know
b Missing data for 64 respondents
c Chi-square excludes n = 7 who responded don’t know
d N is greater for flavors as respondents could choose more than one flavor