| Literature DB >> 35265571 |
Najeeb Saud S Altowiher1, Rami Bustami2, Ali M Alwadey1, Mansour Alqahtani1.
Abstract
Objectives: To determine whether the increased tobacco price due to tax implementation on tobacco products (including cigarettes) has a significant effect on smoking cessation among Saudi Arabian adult smokers.Entities:
Keywords: health policy; public health; smoking cessation; tobacco control; tobacco taxation
Mesh:
Year: 2022 PMID: 35265571 PMCID: PMC8899034 DOI: 10.3389/fpubh.2022.794237
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Proportion of population and survey participants in the five zones of Saudi Arabia.
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| Central | 23,438 | 22.1 | 139 | 21.2 |
| Eastern | 11,734 | 11.0 | 98 | 14.8 |
| Northern | 15,718 | 14.8 | 94 | 14.2 |
| Western | 36,345 | 34.2 | 215 | 32.6 |
| Southern | 19,018 | 17.9 | 113 | 17.1 |
| Total | 1,06,253 | 100 | 660 | 100 |
Profile of Saudi adults attending the smoking cessation clinic who participated in the survey.
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| Gender | Male | 646 | 98 |
| Female | 13 | 2 | |
| Education | Uneducated | 3 | 0.3 |
| School graduate | 313 | 47.4 | |
| College graduate | 324 | 49.1 | |
| Higher education | 20 | 3 | |
| Occupation | Unemployed | 80 | 12.1 |
| Retired | 52 | 7.9 | |
| Govt employee | 328 | 49.7 | |
| Non-govt employee | 200 | 30.3 | |
| Residents of Saudi Arabia | Central | 139 | 21.1 |
| Eastern | 98 | 14.8 | |
| Northern | 94 | 14.2 | |
| Western | 216 | 32.7 | |
| Southern | 113 | 17.1 | |
| Monthly income (US $) | <1,334 | 215 | 32.6 |
| 1,334–2,667 | 287 | 43.5 | |
| 2,668–4,000 | 145 | 22 | |
| ≥ 4,001 | 13 | 2 |
Factors associated with the response to taxation in smoking cession motivation based on a univariate analysis.
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| Sex | Male | 377 | 97.4 | 218 | 99.1 | 50 | 100 | |
| Female | 9 | 2.3 | 2 | 0.9 | 0 | 0 | ||
| Monthly income (US $) | Less than 1,334 | 125 | 32.3 | 68 | 30.9 | 16 | 32 | |
| 1,334 to 2,667 | 161 | 41.6 | 103 | 46.8 | 23 | 46 | ||
| 2668 to 4,000 | 91 | 23.5 | 45 | 20.5 | 9 | 18 | ||
| 4,001 and more | 8 | 2.1 | 3 | 1.4 | 2 | 4 | ||
| Occupation | Unemployed | 52 | 13.4 | 20 | 9.1 | 5 | 10 | χ2 = 19.2 |
| Retired | 30 | 7.8 | 16 | 7.3 | 6 | 12 | Df = 11 | |
| Government employee | 195 | 50.4 | 108 | 49.1 | 24 | 48 | ||
| Non-government employee | 109 | 28.2 | 75 | 34.1 | 15 | 30 | ||
| Education | Uneducated | 1 | 0.3 | 0 | 0 | 1 | 2 | χ2 = 13.2 |
| School graduate | 193 | 49.9 | 91 | 41.4 | 29 | 58 | Df = 11 | |
| College graduate | 178 | 46 | 124 | 56.4 | 20 | 40 | ||
| Higher education | 14 | 3.6 | 5 | 2.3 | 1 | 2 | ||
| Age | 35.2 | 35.6 | 37.5 | |||||
| 9.2 | 9.4 | 10.5 | ||||||
| Purpose to attend clinic | To quit | 368 | 95.1 | 211 | 95.9 | 45 | 90 | |
| To reduce smoking | 19 | 4.9 | 7 | 3.2 | 5 | 10 | ||
| Current smoking status | Quit | 70 | 18.1 | 52 | 23.6 | 13 | 26 | |
| Smoking | 317 | 81.9 | 168 | 76.4 | 37 | 74 | ||
| Zone of Saudi Arabia | Central | 92 | 23.8 | 41 | 18.6 | 6 | 12 | |
| East | 49 | 12.7 | 35 | 15.9 | 13 | 26 | ||
| North | 61 | 15.8 | 26 | 11.8 | 7 | 14 | ||
| West | 131 | 33.9 | 69 | 31.4 | 15 | 30 | ||
| South | 54 | 14 | 49 | 22.3 | 9 | 18 | ||
Statistically significant difference: P < 0.05.
Change in smoking approach adopted in response to increased taxation on tobacco products by determinants.
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| Sex | Male | 299 | 46.5 | 151 | 23.5 | 105 | 16.3 | 446 | 69.4 | 104 | 16.2 | χ2 = 4, df = 4, |
| Female | 3 | 25.0 | 0 | 0.0 | 0 | 0.0 | 7 | 58.3 | 4 | 33.3 | ||
| Age group | 18–29 | 98 | 46.2 | 55 | 25.9 | 31 | 14.6 | 137 | 64.6 | 44 | 20.8 | χ2 = 12, df = 8, |
| 30–54 | 193 | 45.5 | 91 | 21.5 | 74 | 17.5 | 298 | 70.3 | 66 | 15.6 | ||
| 55 < | 11 | 52.4 | 6 | 28.6 | 0 | 0.0 | 20 | 95.2 | 1 | 4.8 | ||
| Education | School | 140 | 44.4 | 77 | 24.4 | 45 | 14.3 | 213 | 67.6 | 57 | 18.1 | χ2= 6, df = 8, |
| College | 154 | 47.5 | 69 | 21.3 | 56 | 17.3 | 228 | 70.4 | 49 | 15.1 | ||
| Higher education | 5 | 25.0 | 5 | 25.0 | 4 | 20.0 | 14 | 70.0 | 5 | 25.0 | ||
| Monthly income (US $) | > 1,334 | 87 | 41.0 | 58 | 27.4 | 30 | 14.2 | 135 | 63.7 | 48 | 22.6 | χ2 = 17, df = 12, |
| 1,334–2,667 | 136 | 47.4 | 63 | 22.0 | 45 | 15.7 | 207 | 72.1 | 39 | 13.6 | ||
| 2,668–4,000 | 74 | 51.0 | 29 | 20.0 | 25 | 17.2 | 105 | 72.4 | 22 | 15.2 | ||
| 4,001 ≤ | 6 | 46.2 | 2 | 15.4 | 5 | 38.5 | 8 | 61.5 | 2 | 15.4 | ||
| Occupation | Unemployed | 21 | 26.9 | 19 | 24.4 | 11 | 14.1 | 34 | 43.6 | 30 | 38.5 | χ2 = 30, df = 12, |
| Retired | 26 | 50.0 | 12 | 23.1 | 5 | 9.6 | 39 | 75.0 | 6 | 11.5 | ||
| Government employee | 150 | 45.7 | 72 | 22.0 | 58 | 17.7 | 231 | 70.4 | 50 | 15.2 | ||
| Non-government employee | 105 | 52.5 | 49 | 24.5 | 30 | 15.0 | 151 | 75.5 | 26 | 13.0 | ||
Statistically significant difference: P < 0.05.
Impact of taxation on smoking cessation attempts of adult smokers in published studies and the present study.
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| Boyle et al. ( | USA | 1,382 | 15.6% quit | E-cigarette use |
| 60% attempted quitting | ||||
| Schafferer et al. ( | 36 European countries | – | 3.1% quitting rate | Licit consumption rate decline by 18.4% |
| Dunlop et al. ( | Australia | 997 | 47.5% smoking changes | 11.4% product-related changes |
| Han ( | Korea | 45,686 | 3.8% quit | 22.8% reduced smoking |
| 5.4% switched to e cigarette | ||||
| Park et al. ( | USA | – | 8% quit | 40% altered smoking habit |
| AlGhamdi et al. ( | Saudi Arabia | 376 | No change 39.6% | 29.8% changed to cheaper brand |
| AlQarni ( | Saudi Arabia | 334 | 10% reduced consumption | 20% switched to cheaper brand |
| 60% no change | ||||
| Present study | Saudi Arabia | 660 | 20% quit | 68.6% attempted quitting |
| 45.8% reduced quantity | ||||
| 23% switched to cheaper brand |