Knowledge and Perceptions of Tobacco-Related Harm Associated with Intention to Quit among Cigarette Smokers, e-Cigarette Users, and Dual Users: Findings from the US Population Assessment of Tobacco and Health (PATH) Wave 1

Lin, Wenxue; Martinez, Sydney A.; Ding, Kai; Beebe, Laura A.

doi:10.1080/10826084.2021.1879145

Cited by 19 publications

(12 citation statements)

References 34 publications

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“…Our results demonstrate that the e-cig user’s subgingival microbiome is a unique amalgamation of microbiota, containing similarities to those of both conventional smokers and nonsmokers. Due to many shared features with the conventional smoker’s microbiome and considering the widespread promotion of e-cigarettes as a “healthier” alternative to or replacement for conventional cigarettes ( 21 , 65 – 67 ), our results show that e-cigarette use may promote a healthier SGP microbiome with respect to that of smokers but not compared to that found with never smoking in the first place. The uniqueness of the e-cigarette periodontal microbiome indicates a need for further research into this relatively novel microbial consortium, obtained through the adoption of a newly acquired human habit, and how biotic and abiotic components synergistically impact oral health and disease.…”

Section: Discussionmentioning

confidence: 71%

“…E-cigs work by aerosolizing a liquid that contains nicotine, propylene glycol, and glycerol (flavoring chemicals are common) that is then inhaled by the user ( 17 , 18 ), whereby the mouth and oral microbial community are the first exposed. As personal perception of the safety of e-cigs is a major determiner of use ( 4 , 19 , 20 ), continued research on the impact of e-cig use on oral and human health is warranted ( 17 , 21 ).…”

Section: Introductionmentioning

confidence: 99%

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Electronic Cigarette Use Promotes a Unique Periodontal Microbiome

Thomas

Pushalkar

et al. 2022

mBio

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Section: Discussionmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Electronic Cigarette Use Promotes a Unique Periodontal Microbiome

Thomas

Pushalkar

et al. 2022

mBio

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“…A cross sectional study comparing 607 female and 658 male smokers from Switzerland reported that a higher percentage of females perceived it difficult to quit smoking [ 28 ]. Another study from the United States reported a stronger association between knowledge of health effects of smoking and intention to quit smoking among females compared to males [ 29 ]. The findings highlight the cross-country differentials on smoking cessation behavior among male and female smokers, and suggestive gaps in awareness about tobacco indicating the need for gender specific focus on tobacco cessation measures.…”

Section: Discussionmentioning

confidence: 99%

Effect of socioeconomic status on smoking cessation behavior in selected African countries: Secondary analysis of Global Adult Tobacco Survey data (2014–2018)

Vilane

Kodali²,

Thankappan³

2022

PLoS ONE

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Introduction Tobacco use remains a global public health challenge. While studies report that smoking cessation reduces the risk of cancer and other NCDs, evidence is scarce in African region on socio-economic determinants of smoking cessation behavior. This study examined the socio-economic differentials of smoking cessation behavior among smokers in four African countries. Methods The study was conducted through secondary analysis of Global Adult Tobacco Survey (GATS) data from four African countries (Ethiopia, Kenya, Senegal and Tanzania). Smoking cessation behavior was assessed using two variables i) intention to quit smoking in next 12 months and ii) previous quit attempts made within 12 months preceding the survey. The weighted percentages for intention to quit smoking and previous quit attempts were computed. The adjusted odds ratios were computed using multinomial logistic regression to identify the association between socio-economic factors and smoking cessation behavior. Results Across the four countries studied, the previous quit attempts among smokers were in the range of 39.6% to 53.7%. Around 7.6% to 15.8% of the smokers tried to quit with an assistance. In Ethiopia over 76.5% of current smokers reported no intention to quit in next 12 months after survey, whereas the same was 50.4% in Senegal. While country specific differences were observed, females, those belonging to the poorest wealth index, unemployed and those without any formal education reported significantly lower odds of previous quit attempts or having an intention to quit smoking. Conclusion The socio-economic vulnerabilities were found to compromise smoking cessation behavior among the smokers in countries studied. Targeted interventions, adherence to smokefree laws, and provision of cessation support are essential to improve quit rates and mitigate tobacco risks among socio-economically vulnerable population.

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“…Knowledge measures, asked at both baseline and post-exposure, were based on previous research. [17][18][19][20][21] Participants were asked to respond 'True', 'False' or 'Don't know' to six statements about e-cigarettes (the correct answers are in parentheses):…”

Section: Discussionmentioning

confidence: 99%

“…Knowledge measures, asked at both baseline and post-exposure, were based on previous research. 17 – 21 Participants were asked to respond ‘True’, ‘False’ or ‘Don't know’ to six statements about e-cigarettes (the correct answers are in parentheses): ‘E-cigarettes do not contain any of the toxic chemicals that can be found in regular cigarettes’ (false) ‘Vapor from e-cigarettes contains only water vapor’ (false) ‘Vapor from e-cigarettes contains formaldehyde’ (true) ‘E-cigarettes contain tar, which can cause lung cancer’ (false) ‘Smokers who switch to e-cigarettes may breathe fewer toxins’ (true) ‘E-cigarette use or vaping leads to an incurable condition known as “popcorn lung”’ (false) Each statement will be referred to using the following key terms: Toxic Chemicals, Water Vapor, Formaldehyde, Tar, Fewer Toxins, and Popcorn Lung. Participant responses were recoded into a binary outcome of knowledge about each statement (correct answers = 1, incorrect answer or ‘don't know’ = 0).…”

Section: Methodsmentioning

confidence: 99%

Effects of brief exposure to misinformation about e-cigarette harms on Twitter on knowledge and perceptions of e-cigarettes

Liu

Wright

Elizarova³

et al. 2022

DIGITAL HEALTH

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Background This study examined whether exposure to misinformation found on Twitter about e-cigarette harms leads to inaccurate knowledge and misperceptions of harms of e-cigarette use among cigarette smokers. Methods We conducted an online randomized controlled experiment in November 2019 among an online sample of 2400 adult US and UK cigarette smokers who did not currently use e-cigarettes. Participants viewed four tweets in one of four conditions: 1) e-cigarettes are as or more harmful than smoking, 2) e-cigarettes are completely harmless, 3) e-cigarette harms are uncertain and 4) control (physical activity). Outcomes were knowledge about e-cigarettes and harm perceptions of e-cigarette use for five diseases. We conducted multiple logistic and linear regressions to analyze the effect of experimental conditions on outcomes, controlling for baseline knowledge and perceived harms. Findings Participants in the ‘as or more harmful’ condition (vs. control group) had higher odds of accurate knowledge about e-cigarettes containing toxic chemicals ( p < 0.001), not containing only water vapor (p < 0.001) and containing formaldehyde ( p < 0.001). However, these participants had lower odds of accurate knowledge that e-cigarettes did not contain tar ( p < 0.001) and contained fewer toxins than cigarettes ( p < 0.001). Exposure to ‘as or more harmful’ tweets also increased harm perceptions for five diseases (all p < 0.001), with the greatest effect observed for lung cancer (β = 0.313, p < 0.001). This effect was greater among UK participants for all diseases. Interpretation Brief exposure to misinformation on Twitter reduced accurate knowledge of the presence of tar and the level of toxins compared with smoking and increased harm perceptions of e-cigarette use.

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Knowledge and Perceptions of Tobacco-Related Harm Associated with Intention to Quit among Cigarette Smokers, e-Cigarette Users, and Dual Users: Findings from the US Population Assessment of Tobacco and Health (PATH) Wave 1

Cited by 19 publications

References 34 publications

Electronic Cigarette Use Promotes a Unique Periodontal Microbiome

Electronic Cigarette Use Promotes a Unique Periodontal Microbiome

Effect of socioeconomic status on smoking cessation behavior in selected African countries: Secondary analysis of Global Adult Tobacco Survey data (2014–2018)

Effects of brief exposure to misinformation about e-cigarette harms on Twitter on knowledge and perceptions of e-cigarettes

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