| Literature DB >> 35805487 |
Yasir Abbasi1, Marie-Claire Van Hout2, Mohamed Faragalla3, Lynn Itani1.
Abstract
(1) Background: The popularity of electronic cigarettes (e-cigarettes) has recently increased. Although they are less harmful than regular cigarettes, they still cause health consequences and their use for smoking cessation is inconclusive. The objective of this study was to evaluate patterns of use, knowledge about, and attitude towards e-cigarettes among youth in the United Arab Emirates (UAE) while also researching the impact of the COVID-19 pandemic on smoking behavior. (2)Entities:
Keywords: COVID-19; e-cigarettes; smoking
Mesh:
Substances:
Year: 2022 PMID: 35805487 PMCID: PMC9265798 DOI: 10.3390/ijerph19137828
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Socio-demographic characteristics and current use of regular cigarettes, waterpipe, or medwakh (n = 240).
| N | % | |
|---|---|---|
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| Male | 59 | 24.6 |
| Female | 181 | 75.4 |
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| 18 to 24 | 219 | 91.3 |
| 25 and above | 21 | 8.8 |
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| Emirati | 168 | 70.0 |
| Other nationality | 72 | 30.0 |
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| Abu Dhabi | 140 | 58.3 |
| Dubai | 45 | 18.8 |
| Northern Emirates | 55 | 22.9 |
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| Highschool | 155 | 64.6 |
| Bachelor | 75 | 31.3 |
| Masters | 8 | 3.3 |
| Others | 2 | 0.8 |
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| Single | 227 | 94.6 |
| Married | 10 | 4.2 |
| Divorced | 1 | 0.4 |
| Widowed | 2 | 0.8 |
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| 16 | 6.7 |
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| 31 | 12.9 |
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| 24 | 10.0 |
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| 49 | 20.4 |
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| 65 | 27.1 |
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| 107 | 44.6 |
Patterns of use and knowledge about e-cigarettes across gender and nationality.
| % | % Among | χ2 | % Among | % Among | χ2 | Total ( | |||
|---|---|---|---|---|---|---|---|---|---|
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| Have ever used an e-cigarette before | 61.0 | 28.7 | 19.975 | <0.001 | 34.7 | 37.5 | 0.167 | 0.682 | 36.7 |
| 30-day use of e-cigarette | 40.7 | 16.6 | 14.825 | <0.001 | 18.1 | 24.4 | 1.165 | 0.280 | 22.5 |
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| Not harmful at all | 8.5 | 3.9 | 12.712 | 0.002 | 5.6 | 4.8 | 2.614 | 0.271 | 5.0 |
| Moderately harmful | 57.6 | 35.9 | 48.6 | 38.1 | 41.3 | ||||
| Very harmful | 33.9 | 60.2 | 45.8 | 57.1 | 53.8 | ||||
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| Could be less harmful | 50.8 | 35.4 | 6.345 | 0.042 | 45.8 | 36.3 | 3.551 | 0.169 | 39.2 |
| All equally harmful | 28.8 | 47.0 | 33.3 | 46.4 | 42.5 | ||||
| Don′t know | 20.3 | 17.7 | 20.8 | 17.3 | 18.3 | ||||
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| No | 22.0 | 5.5 | 16.668 | <0.001 | 15.3 | 7.1 | 4.526 | 0.104 | 9.6 |
| Yes | 55.9 | 78.5 | 65.3 | 76.2 | 72.9 | ||||
| Don′t know | 22.0 | 16.0 | 19.4 | 16.7 | 17.5 | ||||
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| No | 30.5 | 48.6 | 11.505 | 0.003 | 41.7 | 45.2 | 2.982 | 0.225 | 44.2 |
| Yes | 45.8 | 23.2 | 36.1 | 25.6 | 28.7 | ||||
| Don′t know | 23.7 | 28.2 | 22.2 | 29.2 | 27.1 | ||||
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| Decreased | 6.8 | 6.6 | 13.645 | 0.003 | 6.9 | 6.5 | 9.720 | 0.021 | 6.7 |
| No change | 52.5 | 51.9 | 66.7 | 45.8 | 52.1 | ||||
| Increased | 30.5 | 13.3 | 11.1 | 20.2 | 17.5 | ||||
| Don’t know | 10.2 | 28.2 | 15.3 | 27.4 | 23.8 | ||||
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| Decreased | 10.2 | 3.9 | 5.823 | 0.121 | 6.9 | 4.8 | 7.345 | 0.062 * | 5.4 |
| No change | 57.6 | 50.8 | 62.5 | 48.2 | 52.5 | ||||
| Increased | 8.5 | 15.5 | 13.9 | 13.7 | 13.8 | ||||
| Don’t know | 23.7 | 29.8 | 16.7 | 33.3 | 28.3 | ||||
Correlates of 30-day e-cigarette use and increase in consumption of nicotine products during the pandemic.
| Model 1 | 30-Day E-Cigarette Use ( | |||||||
|---|---|---|---|---|---|---|---|---|
| Simple Logistic Regression | Multiple Logistic Regression | |||||||
| OR | CI | OR | CI | |||||
| Male gender | 3.451 | 1.801 | 6.615 | <0.001 | 2.013 | 0.846 | 4.791 | 0.114 |
| Age (continuous) | 0.956 | 0.862 | 1.060 | 0.392 | ||||
| Emirati nationality | 1.465 | 0.730 | 2.939 | 0.282 | ||||
| Currently smokes tobacco * | 22.632 | 10.373 | 49.378 | <0.001 | 12.887 | 5.255 | 31.600 | <0.001 |
| Any parent currently smokes tobacco * | 0.353 | 0.187 | 0.670 | 0.001 | 0.652 | 0.278 | 1.528 | 0.325 |
| Any close peer currently smokes tobacco * | 0.197 | 0.100 | 0.388 | <0.001 | 0.480 | 0.203 | 1.138 | 0.096 |
| Thinks that e-cigs have moderate/high levels of harm to health | 0.126 | 0.036 | 0.438 | 0.001 | 0.150 | 0.030 | 0.738 | 0.020 |
| Believes that e-cigs are addictive | 0.757 | 0.391 | 1.467 | 0.410 | ||||
| Has received info through media about | 1.816 | 0.875 | 3.771 | 0.110 | 2.122 | 0.821 | 5.483 | 0.120 |
| Thinks that tobacco increases risk of COVID-19 and its complications | 0.353 | 0.182 | 0.684 | 0.002 | 0.589 | 0.250 | 1.389 | 0.227 |
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| Male gender | 2.872 | 1.425 | 5.790 | 0.003 | 2.174 | 0.969 | 4.875 | 0.060 |
| Age (continuous) | 0.953 | 0.848 | 1.071 | 0.421 | ||||
| Emirati nationality | 2.030 | 0.889 | 4.635 | 0.093 | 2.355 | 0.952 | 5.827 | 0.064 |
| Currently smokes tobacco * | 6.967 | 3.361 | 14.442 | <0.001 | 5.310 | 2.224 | 12.675 | <0.001 |
| Any parent currently smokes tobacco * | 0.795 | 0.384 | 1.643 | 0.535 | ||||
| Any close peer currently smokes tobacco * | 0.426 | 0.215 | 0.844 | 0.015 | 0.911 | 0.398 | 2.082 | 0.825 |
| Thinks that e-cigs have moderate/high levels of harm to health | 1.064 | 0.224 | 5.043 | 0.938 | ||||
| Believes that e-cigs are addictive | 1.231 | 0.567 | 2.672 | 0.600 | ||||
| Has received info through media about | 1.633 | 0.736 | 3.620 | 0.228 | ||||
| Thinks that tobacco increases risk of COVID-19 and its complications | 0.578 | 0.290 | 1.153 | 0.120 | 0.868 | 0.400 | 1.884 | 0.720 |
*: tobacco product such as regular cigarettes, waterpipe, and medwakh.