Abstract
Background.
The scientific term for the substance people inhale and exhale from a vaping device is “aerosol,” but whether the public uses this term is unclear. To inform tobacco control communication efforts, we sought to understand what tobacco users call e-cigarette aerosols.
Methods.
Participants were a national convenience sample of 1,628 US adults who used e-cigarettes, cigarettes, or both (dual users). In an online survey, conducted in spring 2021, participants described what “people inhale and exhale when they vape,” using an open-ended and then a closed-ended response scale. Participants then evaluated warning statements, randomly assigned to contain the term aerosol or vapor (e.g., “E-cigarette aerosol/vapor contains nicotine, which can lead to seizures”).
Results.
In open-ended responses, tobacco users most commonly provided the terms vapor (31%) and smoke (23%), but rarely aerosol (<1%). In closed-ended responses, the most commonly endorsed terms were again vapor (57%) and smoke (22%), but again infrequently aerosol (2%). In closed-ended responses, use of the term vapor was more common than other terms among people who were older; white; gay, lesbian, or bisexual; college-educated; or vape users only (all p<.05). In the experiment, warnings using the terms aerosol and vapor were equally effective (all p>.05).
Conclusions.
The public rarely uses the term aerosol to describe e-cigarette output, potentially complicating educational efforts that use the term. Future studies should explore public knowledge and understanding of the terms aerosol and the more popular “vapor” to better inform vaping risk communication.
INTRODUCTION
Millions of Americans are currently vaping, with an estimated 2.1 million youth in 20211 and 5.7 million adults in 2019.2 Experts generally agree that vaping is a safer alternative for adults unwilling or unable to quit conventional cigarettes, but the net effect of vaping’s benefits and harms across the population remains an ongoing debate in the public health community3–6 that will take years to resolve as research continues to evolve.7
Electronic cigarettes (e-cigarettes) include a battery to heat e-liquid typically containing nicotine, flavoring, and a humectant, to generate a fine aerosol inhaled into the lungs.5 8 9 E-cigarette aerosol is made up of tiny particles and generally contains fewer toxic chemicals than the deadly mix of 7,000 chemicals in smoke from regular cigarettes.8 However, the emitted aerosol is not a “harmless water vapor”. E-cigarette aerosol can contain harmful and potentially harmful constituents including heavy metals,10 carcinogenic volatile organic compounds,11 lipid-like compounds,12 or ultrafine particles13 that can be inhaled deeply into the lungs and may pose health consequences over time.14 15 Manufacturers do not typically disclose information about chemical ingredients and additives in e-cigarette liquids or their aeresol.5 14 16
The word “vape” as a verb was declared by Oxford English Dictionary17 as its word of year in 2014, filling a gap emerged in the lexicon, as a term was needed to define e-cigarettes use, and distinguish it from smoking. However, it is unclear what terms communication efforts should use when referring to substance people inhale and exhale from a vaping device. Emerging qualitative evidence shows that the term “vapor” is generally well-known among e-cigarette users who are more likely to use it rather than “smoke”.18 A recent internet-based search query data using Google Trends revealed that the public appeared to prefer using terms related to “vaping” over “e-cigarette”.19 These studies paved the way to understand the terminology and language that the public uses to describe vaping-related terms. The scientific community5 8 9 14 20 21 primarily uses the term “aerosol” to convey the substance generated by vapes, or use this term to characterize exposure to secondhand material (aerosol) emitted from vapes.5 22 However, it is unclear whether the public uses the term aerosol. To inform tobacco control communication efforts and national surveys, we sought to understand the terminology US adult tobacco users employ to describe the aerosol inhaled from e-cigarette devices.
METHODS
Participants
We recruited a convenience sample of 1,628 US adults (≥18 years) who were ever or current e-cigarette users, current cigarette smokers, or dual users through the Qualtrics Online Panel platform. This online panel recruits participants from targeted email lists, social media platforms and other websites, and conducts verification checks on all panel participants.23
Procedures
In March 2021, participants provided informed consent and completed the survey online. The survey first assessed terms that participants used to describe e-cigarette aerosol with an open-ended item followed by a closed-end item. Survey software then randomly assigned them (between-subjects) to read one of six statements about e-cigarette use: “E-cigarette [aerosol/vapor] contains nicotine, which can lead to seizures”, “E-cigarette [aerosol/vapor] contains harmful chemicals”, or “E-cigarette [aerosol/vapor] contains dangerous metals”). The study team developed the messages based on e-cigarette hazards with substantial or conclusive evidence of harm according to the 2018 report of the National Academies of Sciences, Engineering, and Medicine.3 Participants then rated the statement they read (measures described below). Upon completion of the survey, participants received incentives in a reward type (i.e., cash or reward points) and amount set by the survey company. The Institutional Review Board of the University of North Carolina approved the study procedures.
Measures
Tobacco use.
The survey assessed ever use of vape only, current use of vape only (defined as ever vaped and now vaping some days or everyday),2 24 current use of cigarettes only (defined as smoked at least 100 cigarettes and now smoking some days or everyday),2 current dual use (vaped and smoked concurrently),2 24 and other tobacco products use (past 30-day use of traditional cigars, cigarillos, filtered cigars or little cigars, hookah, pipe filled with tobacco, or smokeless tobacco). 24 Survey questions included images of the assessed tobacco products. The survey assessed whether participants believed that vaping was less, equally, or more harmful than smoking combustible tobacco cigarettes.25
Terms used to describe aerosol.
Participants first answered the open-ended question, “People using cigarettes inhale and exhale smoke. What do people inhale and exhale when they vape?” Two authors (MEK and CAW) independently coded open-ended responses, and the third author (NTB) adjudicated any disagreements (see Appendix Table 1 for coding definitions).
Next, participants completed a closed-ended question, “When people vape, they inhale and exhale _______.” They could choose one of nine response options: Aerosol, Vapor, Smoke, Cloud, Plume, Mist, Steam, Something else, and Not sure (i.e., single response). Finally, participants responded to the same question but could choose any of the response options (i.e., multiple response). For these closed-ended items, survey software randomized order of all but the last two response options. Each randomization was independent of the previous one.
Warning statement experiment.
For the experiment, participants rated the perceived message effectiveness (PME) of a warning statement. We selected PME as the outcome for the experiment because it is sensitive to small differences between messages and is predictive of long-term behavior change26–29. The PME item read, ‘How much does this message discourage you from wanting to vape?’.29 The five-point response scale ranged from Not at all (coded as 1) to A great deal (5). This single-item PME measure performs similarly to a three-item scale.28 29
Demographic characteristics were age, gender (male or female), sexual orientation (straight or lesbian, gay, or bisexual [LGB]), transgender, Hispanic ethnicity, race (White, Black, or other races), education, and annual household income.
Statistical analyses
To characterize use of the terms overall, we calculated the frequency of use for open-ended, single closed-ended, and multiple closed-ended items. To examine correlates of the use of the term vapor, we conducted multivariable logistic regressions to estimate adjusted odds ratios (aORs) and corresponding 95% confidence intervals (95% CIs). The predictors were demographic characteristics and tobacco use. The outcome was use of the term vapor (coded as 1) vs. other terms (coded as 0) in closed-ended single-response item. The adjusted model controlled for tobacco use status and all demographic characteristics.
To examine the association of the use of terms with accuracy of harm perception, we conducted multivariable logistic regressions. In these models, the outcome was comparative harm perception (vaping is equally or more harmful than cigarettes or not sure (coded as 1) vs vaping is less harmful (coded as 0).30 The predictors were the closed-ended single responses, controlling for demographic characteristics and tobacco use.
Finally, to understand the impact of experimentally assigning participants to messages using the term vapor or aerosol, we compared PME using independent samples t-tests, one for each statement and overall (for the average rating of the three warning statements). Analyses used SAS/STATv14.2 and SPSS v.26, with a statistical significance threshold set at α=0.05.
RESULTS
Fifty-five percent of participants were ages 18-44, 56% female, and 3% transgender. Most were White (85%), 31% had a high school degree or less, and 30% had an annual household income of less than $25,000 (Table 1). Four percent of participants reported ever use of vapes only, 11% current use of vape only, 44% current use of cigarettes only, and 41% were current dual users.
Table 1.
Demographic and tobacco use characteristics (n=1,628)
| Demographic characteristic | n | % |
|---|---|---|
| Age, years | ||
| 18-24 | 123 | 8 |
| 25-44 | 767 | 47 |
| 45-64 | 479 | 29 |
| 65+ | 259 | 16 |
| Gender | ||
| Female | 903 | 55 |
| Male | 715 | 44 |
| Non-binary or something else | 10 | 1 |
| Transgender | ||
| No | 1586 | 97 |
| Yes | 42 | 3 |
| Sexual orientation | ||
| Straight | 1415 | 57 |
| Gay, lesbian, or bisexual | 214 | 13 |
| Hispanic | ||
| No | 1508 | 93 |
| Yes | 118 | 7 |
| Race | ||
| Black or African American | 116 | 7 |
| White | 1376 | 85 |
| Other races | 136 | 8 |
| Education | ||
| High school or less | 509 | 31 |
| Some college | 416 | 26 |
| Undergraduate or Associate’s degree | 461 | 28 |
| Graduate degree | 242 | 15 |
| Household income, annual | ||
| $0-24,999 | 481 | 30 |
| $25,000-49,999 | 411 | 25 |
| $50,000-74,999 | 228 | 14 |
| $75,000 or more | 508 | 31 |
| Tobacco use | ||
| Ever use of vape only | 65 | 4 |
| Current use of vape only | 182 | 11 |
| Current use of cigarettes only | 721 | 44 |
| Dual use | 660 | 41 |
| Other tobacco product use¥ | 676 | 42 |
| Harm perception of vaping compared to cigarettes | ||
| Less harmful | 501 | 31 |
| Equally harmful | 693 | 42 |
| More harmful | 327 | 20 |
| Not sure | 108 | 7 |
Note. Other tobacco products include traditional cigars, cigarillos, filtered cigars or little cigars, hookah, pipe filled with tobacco, and smokeless tobacco (such as snus, moist snuff, dip, spit and chew). Missing values were <1%.
Terms used to describe e-cigarette aerosol
In open-ended responses, 1,441 (89%) of study participants provided codable answers. The most common terms generated in open-ended responses were vapor and smoke (mentioned by 31% and 23% of respondents), followed by chemicals (12%), nicotine (9%), water (5%), metal (5), toxic (3%), liquid (or e-liquid) (3%), or carbon monoxide or other gases (3%) (Table 2). In closed-ended responses (pick only one), the most common terms were again vapor (57%) and smoke (22%), followed by steam (5%), mist (4%), and cloud (2%), but again infrequently aerosol (2%) (Table 2). The pattern stayed the same when participants had a chance to select multiple of the response options; vapor (64%) and smoke (33%) were the most common terms, and aerosol (9%) remained among the least frequent (Table 2). For participants who used the same term in both open- and closed-ended responses, the most common term was vapor (27% of participants), followed by smoke (11%) (Appendix Table 2). The pattern was similar for closed-ended only responses (vapor 31%, smoke 12%), but reversed for open-ended only responses (smoke 10%, vapor 3%).
Table 2.
Terms used to describe e-cigarette output (n=1,628)
| Open-ended response (%)a | Closed-ended responses (%) | ||
|---|---|---|---|
| Single response | Multiple responses b | ||
| Vapor | 31 | 57 | 64 |
| Smoke | 23 | 22 | 33 |
| Steam | 3 | 5 | 18 |
| Mist | 1 | 4 | 21 |
| Aerosol | 0.2 | 2 | 9 |
| Cloud | 0 | 2 | 10 |
| Plume | 0 | 1 | 4 |
| Not sure | 8 | 5 | 5 |
| Something else | - | 2 | 4 |
| Chemicals | 12 | - | - |
| Nicotine | 9 | - | - |
| Water | 5 | - | - |
| Metals | 5 | - | - |
| Toxic | 4 | - | - |
| C.O. or other gases | 3 | - | - |
| Liquid | 3 | - | - |
Open-ended responses came from n=1,441 participants who mentioned codable terms. In open-ended responses, ≤1% of respondents used terms that we coded into these categories: Air, Oils, Flavor, Combustible tobacco, Fumes, Moisture, or Diseases.
Sum of the percentages may surpass 100 because participants were allowed to opt more than one term.
In terms of correlates of selecting vapor in the closed-ended single responses (Table 3), use of the term vapor was more common among people who were older, LGB, White, college-educated, or current users of vape only (all p<.05). Past 30-day users of other tobacco products were less likely to use the term vapor (p<.05).
Table 3.
Correlates of using the term vapor in closed-ended single responses (n=1,628)
| Characteristics | No. who used the term vapor/No. in category | Univariate analysis | Multivariable analysis |
|---|---|---|---|
|
| |||
| n (%) | OR (95% CI) | OR (95% CI) | |
|
|
|||
| Age, years | |||
| 18-24 | 58 (47) | Ref | Ref |
| 25-44 | 389 (51) | 1.15 (0.78-1.68) | 1.80 (1.15-2.81) |
| 45-64 | 311 (65) | 2.08 (1.39-3.10) | 2.44 (1.52-3.93) |
| 65+ | 177 (68) | 2.42 (1.55-3.75) | 2.65 (1.55-4.52) |
| Gender | |||
| Male | 374 (52) | Ref | Ref |
| Female | 555 (62) | 1.45 (1.19-1.77) | 1.04 (0.83-1.32) |
| Non-binary or something else | 6 (60) | 1.36 (0.38-4.88) | 1.14 (0.29-4.54) |
| Transgender | |||
| No | 914 (58) | Ref | Ref |
| Yes | 18 (43) | 0.54 (0.29-1.01) | 0.55 (0.28-1.09) |
| Sexual orientation | |||
| Straight | 797 (56) | Ref | Ref |
| Lesbian, gay, or bisexual | 138 (65) | 1.42 (1.06-1.92) | 1.81 (1.29-2.53) |
| Hispanic | |||
| No | 880 (58) | Ref | Ref |
| Yes | 55 (47) | 0.62 (0.43-0.90) | 0.75 (0.49-1.13) |
| Race | |||
| Black or African American | 48 (41) | Ref | Ref |
| White | 811 (59) | 2.03 (1.38-2.98) | 1.80 (1.19-2.72) |
| Other races | 76 (56) | 1.79 (1.08-2.96) | 1.66 (0.97–2.83) |
| Education | |||
| High school or less | 291 (57) | Ref | Ref |
| Some college | 284 (68) | 1.61 (1.22-2.11) | 1.58 (1.19-2.10) |
| Undergraduate or Associate’s degree | 251 (54) | 0.89 (0.69-1.15) | 1.09 (0.81-1.47) |
| Graduate degree | 109 (45) | 0.61 (0.45-0.83) | 0.94 (0.63-1.40) |
| Household income, annual | |||
| $0-24,999 | 285 (59) | Ref | Ref |
| $25,000-49,999 | 272 (66) | 1.34 (1.02-1.76) | 1.23 (0.92-1.64) |
| $50,000-74,999 | 139 (61) | 1.07 (0.77-1.48) | 1.04 (0.73-1.47) |
| $75,000 or more | 239 (47) | 0.61 0.47-0.78) | 0.77 (0.55-1.07) |
| Tobacco use | |||
| Dual user | 341 (52) | Ref | Ref |
| Ever use of vape only | 40 (62) | 1.49 (0.88-2.52) | 1.38 (0.79-2.40) |
| Current use of vape only | 117 (64) | 1.68 (1.19-2.36) | 1.60 (1.09-2.36) |
| Current use of cigarettes only | 437 (61) | 1.43 (1.16-1.78) | 0.89 (0.69-1.16) |
| Other tobacco product use | |||
| No | 627 (66) | Ref | Ref |
| Yes | 308 (46) | 0.43 (0.35-0.53) | 0.60 (0.47-0.77) |
None of the terms selected in closed-ended responses predicted relative harm perception (all p>.05), in multivariable models controlling for demographic characteristics and tobacco use (Appendix Table 3).
Experiment
Warning statements with the term aerosol or vapor did not elicit different levels of PME overall (p>.05) (Appendix Table 4). The mean (SD) PME for the warning statements with term vapor was 3.43 (1.29) and for aerosol was 3.41 (1.36). Additional analyses for each of the three warning statements alone (and by the terms that respondents used) also found null results.
DISCUSSION
In a large US study, adult tobacco users described substance emitted from vaping devices differently than the scientific community.5 8 9 14 Participants most often reported using the terms vapor and smoke in both closed and open-ended responses, but rarely aerosol. In open-ended responses, few participants mentioned using the terms chemicals, nicotine, water, metals, toxic, or liquid to describe the substance of what people inhale and exhale when vaping. We also observed differences in using these terms across demographic groups, with vapor being more common among older individuals, LGB, White, college-educated, or current users of vape only. Additionally, our null findings for relative harm perception showed that use of the terms vapor and aerosol did not appear to be associated with a variable that might motivate or hinder e-cigarette use.
Vapor and smoke (but not aerosol) were the most common terms used by tobacco users to call substances they inhaled from vaping devices. This was in line with a previous qualitative study18 showing that people often use both smoke and vapor interchangeably to describe e-cigarette emissions. Although we did not measure the participants’ knowledge and understanding of vaping-related terminology, these findings signal that public may not differentiate (and understand) what is in vapor (or aerosol) and how it differs from smoke. Fifty years after the first Surgeon General report31 on the health consequences of cigarettes, the public knows little about what is in smoke, with most people only being able to reliably identify carbon monoxide, nicotine, and tar32. It is unclear how these misused terms such as smoke—along with rapid evolution in e-cigarette marketing and authorizing commercial e-cigarettes by FDA—will shape the evolving product terminology. Additionally, it is poorly understood whether using the scientific term aerosol in public-facing materials, national surveys, policy, and risk communications will keep pace with the changing product landscape.
To describe e-cigarette output, smoke is an incorrect term due to the noncombustible characteristic of vaping. Although e-cigarette users may use the term smoke to describe e-cigarette’s emissions,18 they tend to prefer not to be called smokers, partially due to the associated stigma.33 Our findings showed smoke as the second most common term to describe e-cigarette emissions, after vapor. It is unclear how these population patterns of using languages—with rapid pace of e-cigarettes marketing evolution—will shape the growing product nomenclature and whether different segments of the user population will adopt diverse terminology.18 This may also hinder effective risk communication efforts that use the term aerosol to communicate the potential risks of e-cigarette outputs or apply it to an aerosol-free environment.
Our findings revealed heterogeneity among people who uses the term vapor compared to other terms. For example, LGB adults who vape nearly twice that of heterosexual adults34 were more likely to use term vapor than other terms. While vaping is a popular route of nicotine delivery among young adults (18-24 years)35, using the term vapor is less popular in this age than in older age cohorts. Nevertheless, adults who only vaped were more likely to use the term vapor compared to dual users of vapes and cigarettes. These discrepancies in characteristics of using terms vapor may make it challenging to target specific populations in risk communication and regulatory efforts associated with e-cigarettes use. Given these differences, to ensure the success in tobacco prevention and cessation programs, it will be important to understand the public’s knowledge about terms (e.g., vapor vs aerosol), raise awareness about scientific terms (e.g., aerosol)-especially in vulnerable populations- and monitor the languages used by the public along with the rapid evolution in tobacco products marketing and update strategies accordingly.
Use of the most common terms, including vapor, smoke, and steam, was not associated with perceived risk of harm of vaping relative to smoking cigarettes. Warnings statements with the terms aerosol and vapor yielded equivalent PME in our experiment. Tobacco users may not fully appreciate the differences between the term vapor and scientific term aerosol when it comes to communicating vaping risks through warning messages. Given that our warning experiment yielded null results, it is unclear if public-facing materials (e.g., vapor-free laws), warnings messages, or anti-vaping campaigns36 that use the term vapor in lieu of aerosol will lead to effective risk communication results. With rapidly diversifying vaping products category, the heterogeneity in language used by the research community,5 37–40 tobacco users18 41 or manufacturers42 43 to describe vaping terminology (e.g., aerosol, vapor) may hinder developing effective risk communication.
No participants in our study mentioned the term cloud in open-ended responses, with only 2% mentioning it in a closed-ended single response question. However, studies have found the term cloud is a well-known term among vape users.44–46 “Cloud-chasing” was a popular activity, particularly among young people, of blowing a large or dense cloud of aerosol using older generations of vapes.44–47 Although vape users are familiar with the term “cloud” or “plume,” they do not call it a substance they inhale into their lungs and exhale as a cloud with potential risks to bystanders.48 Future studies are warranted to explore whether youth refer to the cloud as a substance they inhale or exhale from their vapes and understand this term. In the meantime, anti-vaping educational campaigns need to raise awareness about the vaping terminology (e.g., cloud) and potential risks of cloud-chasing—which is largely used as marketing tactics to attract nicotine-naïve customers.47
Study limitations include the use of a convenience sample of adults, potentially limiting the generalizability of study findings to other populations or samples. However, convenience samples may yield similar rank orderings of ratings and often yield similar experimental findings compared to probability-based samples.49 50 Second, the results may differ in adolescent tobacco users. Given concerns about vaping as a gateway for combustible tobacco products among nicotine-naïve young people,51 future studies should examine the terms adolescents and young adults who have neither smoked nor vaped employ to describe aerosol. Future studies should also explore public knowledge and understanding of the terms aerosol and vapor to better inform vaping risk communication, a topic our research did not directly address. Third, the initial open-ended question included the term “smoke”, which may have affected later responses. Indeed, the prevalence of use of the term vapor increased substantially in the closed-ended responses, whereas the use of smoke remained largely unchanged. For this reason, our survey may have overestimated use of the term smoke for vape emissions. Finally, aerosol as a term has been heavily covered in the media because of the COVID-19 pandemic by emphasizing how coronavirus spreads in the air. The unpopularity of the term aerosol suggests that public health prevention or communication efforts to promote using the term aerosol for vaping may not be especially successful among the public without substantial additional educational efforts around the term.
Supplementary Material
What is already known on this topic.
The scientific community primarily uses the term “aerosol” to convey the substance generated by vapes, or use this term to characterize exposure to secondhand material (aerosol) emitted from vapes.
it is unclear whether the public uses the term “aerosol”.
What this study adds
Among a large sample of US adult tobacco users, the most common terms to describe the substance inhaled and exhaled from a vaping device were vapor and smoke, but seldom aerosol.
How this study might affect research, practice or policy
Anti-vaping campaigns using the term aerosol may not resonate with the public who rarely use the term.
Future studies should explore public knowledge and understanding of the terms aerosol and vapor to better inform vaping risk communication and regulatory policy.
Funding:
Research reported in this publication was supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number R01DA048390. K01HL147713 from the National Heart, Lung, and Blood Institute of the National Institutes of Health supported Marissa Hall’s time working on the paper. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Conflict of Interest:
None of the authors have received funding from tobacco product manufacturers. NTB and KMR have served as paid expert consultants in litigation against tobacco companies. The other authors declare no conflicts of interest.
Footnotes
Publisher's Disclaimer: Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse of the National Institutes of Health. The funding institutions had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
REFERENCES
- 1.Park-Lee E, Ren C, Sawdey MD, et al. Notes from the Field: E-Cigarette Use Among Middle and High School Students - National Youth Tobacco Survey, United States, 2021. MMWR 2021;70(39):1387–89. doi: 10.15585/mmwr.mm7039a4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mayer M, Reyes-Guzman C, Grana R, et al. Demographic Characteristics, Cigarette Smoking, and e-Cigarette Use Among US Adults. JAMA Network Open 2020;3(10):e2020694–e94. doi: 10.1001/jamanetworkopen.2020.20694 %J JAMA Network Open [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice; Committee on the Review of the Health Effects of Electronic Nicotine Delivery Systems. Public Health Consequences of E-Cigarettes. Eaton DL, Kwan LY, Stratton K, editors. Washington (DC): National Academies Press (US); 2018. Jan 23. Copyright 2018 by the National Academy of Sciences. All rights reserved. 2018. [Google Scholar]
- 4.Balfour DJK, Benowitz NL, Colby SM, et al. Balancing Consideration of the Risks and Benefits of E-Cigarettes. Am J Public Health 2021:e1–e12. doi: 10.2105/ajph.2021.306416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.World Health Organization. WHO report on the global tobacco epidemic, 2021: addressing new and emerging products 2021. [Available from: https://www.who.int/publications/i/item/9789240032095 (Accessed 30 July 2021).
- 6.Fairchild A, Healton C, Curran J, et al. Evidence, alarm, and the debate over e-cigarettes. Science 2019;366(6471):1318–20. [DOI] [PubMed] [Google Scholar]
- 7.Fairchild AL, Bayer R, Lee JS. The E-Cigarette Debate: What Counts as Evidence? Am J Public Health 2019;109(7):1000–06. doi: 10.2105/AJPH.2019.305107 [published Online First: 2019/05/16] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Center for Diseases Control and Prevention. About Electronic Cigarettes (E-Cigarettes) 2021. Available from: https://www.cdc.gov/tobacco/basic_information/e-cigarettes/about-e-cigarettes.html (Accessed 30 July 2021).
- 9.National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice; Committee on the Review of the Health Effects of Electronic Nicotine Delivery Systems; Eaton DL, Kwan LY, Stratton K, editors. Public Health Consequences of E-Cigarettes. Washington (DC): National Academies Press (US); 2018. Jan 23. C, Glossary of Terms Related to E-Cigarettes. Available from: https://www.ncbi.nlm.nih.gov/books/NBK507189/ (Accessed 12 September 2021). [Google Scholar]
- 10.Zhao D, Aravindakshan A, Hilpert M, et al. Metal/Metalloid Levels in Electronic Cigarette Liquids, Aerosols, and Human Biosamples: A Systematic Review. Environ Health Perspect 2020; 128(3):36001–01. doi: 10.1289/EHP5686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Rubinstein ML, Delucchi K, Benowitz NL, et al. Adolescent Exposure to Toxic Volatile Organic Chemicals From E-Cigarettes. Pediatrics 2018;141(4):e20173557. doi: 10.1542/peds.2017-3557 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tehrani MW, Newmeyer MN, Rule AM, et al. Characterizing the Chemical Landscape in Commercial E-Cigarette Liquids and Aerosols by Liquid Chromatography–High-Resolution Mass Spectrometry. Chem Res Toxicol 2021. doi: 10.1021/acs.chemrestox.1C00253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Volesky KD, Maki A, Scherf C, et al. The influence of three e-cigarette models on indoor fine and ultrafine particulate matter concentrations under real-world conditions. Environ Pollut 2018;243:882–89. doi: 10.1016/j.envpol.2018.08.069 [DOI] [PubMed] [Google Scholar]
- 14.US Department of Health and Human Services. Surgeon General’s advisory on e-cigarette use among youth 2018. [Available from: https://e-cigarettes.surgeongeneral.gov/documents/surgeon-generals-advisory-on-e-cigarette-use-among-youth-2018.pdf13 (Accessed12 September 2021).
- 15.Moheimani RS, Bhetraratana M, Yin F, et al. Increased Cardiac Sympathetic Activity and Oxidative Stress in Habitual Electronic Cigarette Users: Implications for Cardiovascular Risk. JAMA Cardiology 2017;2(3):278–84. doi: 10.1001/jamacardio.2016.5303 %J JAMA Cardiology [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cheng T Chemical evaluation of electronic cigarettes. Tob Control 2014;23 Suppl 2(Suppl 2):ii11–ii17. doi: 10.1136/tobaccocontrol-2013-051482 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Oxford English Dictionary. 2014. [Available from: https://www.oed.com/ (Accessed 17 Dec 2021).
- 18.Alexander JP, Coleman BN, Johnson SE, et al. Smoke and Vapor: Exploring the Terminology Landscape among Electronic Cigarette Users. Tob Regul Sci 2016;2(3):204–13. doi: 10.18001/trs.2.3.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lester D, Torgerson T, Eyabi J, et al. Electronic cigarettes and public health awareness: a cross-sectional analysis of Google search inquiries. Health Educ Res 2021. doi: 10.1093/her/cyab015 [DOI] [PubMed] [Google Scholar]
- 20.Soule EK, Maloney SF, Spindle TR, et al. Electronic cigarette use and indoor air quality in a natural setting. Tob Control 2017;26(1):109. doi: 10.1136/tobaccocontrol-2015-052772 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Shearston JA, Eazor J, Lee L, et al. Effects of electronic cigarettes and hookah (waterpipe) use on home air quality. Tob Control 2021:tobaccocontrol-2020-056437. doi: 10.1136/tobaccocontrol-2020-056437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Amalia B, Liu X, Lugo A, et al. Exposure to secondhand aerosol of electronic cigarettes in indoor settings in 12 European countries: data from the TackSHS survey. Tob Control 2021;30(1):49. doi: 10.1136/tobaccocontrol-2019-055376 [DOI] [PubMed] [Google Scholar]
- 23.Dauber S, West A, Hammond C, et al. Postpartum heavy episodic drinking: A survey to inform development of a text messaging intervention. Drug Alcohol Rev 2021. doi: 10.1111/dar.13341 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hyland A, Ambrose BK, Conway KP, et al. Design and methods of the Population Assessment of Tobacco and Health (PATH) Study. Tob Control 2017;26(4):371–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kypriotakis G, Robinson JD, Green CE, et al. Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis. Nicotine Tob Res 2018;20(suppl_1):S81–S87. doi: 10.1093/ntr/nty025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Baig SA, Noar SM, Gottfredson NC, et al. Incremental criterion validity of message perceptions and effects perceptions in the context of anti-smoking messages. J Behav Med 2021;44(1):74–83. doi: 10.1007/s10865-020-00163-0 [published Online First: 2020/06/11] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Noar SM, Bell T, Kelley D, Barker J, Yzer M. Perceived Message Effectiveness Measures in Tobacco Education Campaigns: A Systematic Review. Commun Methods Meas. 2018;12(4):295–313. doi: 10.1080/19312458.2018.1483017. Epub 2018 Jul 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Noar SM, Gottfredson N, Vereen RN, et al. Development of the UNC Perceived Message Effectiveness Scale for Youth. Tob Control 2021. doi: 10.1136/tobaccocontrol-2021-056929 [published Online First: 2021/12/22] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Baig SA, Noar SM, Gottfredson NC, et al. UNC Perceived Message Effectiveness: Validation of a Brief Scale. Ann Behav Med 2019;53(8):732–42. doi: 10.1093/abm/kay080 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Malt L, Verron T, Cahours X, et al. Perception of the relative harm of electronic cigarettes compared to cigarettes amongst US adults from 2013 to 2016: analysis of the Population Assessment of Tobacco and Health (PATH) study data. Harm Reduct J 2020;17(1) doi: 10.1186/s12954-020-00410-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.US Department of Health and Human Services. The health consequences of smoking—50 years of progress: a report of the Surgeon General. Atlanta (GA): Centers for Disease Control and Prevention (US) 2014. [Google Scholar]
- 32.Hall MG, Ribisl KM, Brewer NT. Smokers’ and nonsmokers’ beliefs about harmful tobacco constituents: implications for FDA communication efforts. Nicotine Tob Res 2014;16(3):343–50. doi: 10.1093/ntr/ntt158 [published Online First: 2013/10/24] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ritchie D, Amos A, Martin C. “But it just has that sort of feel about it, a leper”--stigma, smoke-free legislation and public health. Nicotine Tob Res 2010;12(6):622–9. doi: 10.1093/ntr/ntq058 [published Online First: 2010/05/11] [DOI] [PubMed] [Google Scholar]
- 34.Al Rifai M, Mirbolouk M, Jia X, et al. E-cigarette Use and Risk Behaviors among Lesbian, Gay, Bisexual, and Transgender Adults: The Behavioral Risk Factor Surveillance System (BRFSS) Survey. Kans J Med 2020;13:318–21. doi: 10.17161/kjm.vol13.13861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cornelius ME, Loretan CG, Wang TW, et al. Tobacco Product Use Among Adults - United States, 2020. MMWR Morbidity and mortality weekly report 2022;71(11 ):397–405. doi: 10.15585/mmwr.mm7111a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.US Food and Drug Administration (FDA). The Real Cost Campaign 2019e. [Available from: https://www.fda.gov/tobacco-products/public-health-education/real-cost-campaign (Accessed 8 November 2021).
- 37.Pearson JL, Smiley SL, Rubin LF, et al. The Moment Study: protocol for a mixed method observational cohort study of the Alternative Nicotine Delivery Systems (ANDS) initiation process among adult cigarette smokers. BMJ Open 2016;6(4):e011717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Tsai M, Byun MK, Shin J, et al. Effects of e-cigarettes and vaping devices on cardiac and pulmonary physiology. J Physiol 2020;598(22):5039–62. doi: 10.1113/JP279754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Borland R, Murray K, Gravely S, Fong GT, Thompson ME, McNeill A, O’Connor RJ, Goniewicz ML, Yong HH, Levy DT, Heckman BW, Cummings KM. A new classification system for describing concurrent use of nicotine vaping products alongside cigarettes (so-called ‘dual use’): findings from the ITC-4 Country Smoking and Vaping wave 1 Survey. Addiction 2019. Oct;114 Suppl 1(Suppl 1):24–34. doi: 10.1111/add.14570. Epub 2019 Apr 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.United States Public Health Service. Office of the Surgeon General, National Center for Chronic Disease Prevention, Health Promotion Office on Smoking Health. Publications and Reports of the Surgeon General. Smoking Cessation: A Report of the Surgeon General. Washington (DC): US Department of Health and Human Services; 2020. [Google Scholar]
- 41.Morean ME, Bold KW, Kong G, et al. Adolescents’ awareness of the nicotine strength and e-cigarette status of JUUL e-cigarettes. Drug Alcohol Depend 2019;204:107512–12. doi: 10.1016/j.drugalcdep.2019.05.032 [published Online First: 2019/08/24] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Richtel M New York Times. E-cigarettes, by other names, lure young and worry experts. March 4 2014. Avilable from https://www.nytimes.com/2014/03/05/business/e-cigarettes-under-aliases-elude-the-authorities.html (Accessed 1 April 2022).
- 43.JUUL lab. What is Vaping? Available from: https://www.juul.com/resources/What-is-Vapinq-How-to-Vape (Accessed 27 Nov 2021).
- 44.Sussman S, Allem J-P, Garcia J, et al. Who walks into vape shops in Southern California?: a naturalistic observation of customers. Tob Indue Dis 2016; 14(1): 18. doi: 10.1186/s12971-016-0082-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Mickle T Wall Street Journal. Take a deep breath if you want to try competitive vaping. 2015. Available at https://www.wsj.com/articles/take-a-deep-breath-if-you-want-to-try-competitive-vaping-1429646394 (Accessed 2 April 2022).
- 46.Dupont P, Aubin HJ. Exposition des vapoteurs au formaldéhyde et à I’acroléine : revue systématique [Exposure of vapers to formaldehyde and acrolein: A systematic review]. Rev Mal Respir 2019. Sep;36(7):752–800. French. doi: 10.1016/j.rmr.2019.04.006. Epub 2019 Jul 5. [DOI] [PubMed] [Google Scholar]
- 47.Cheney M, Gowin M, Wann TFJAjoph. Marketing practices of vapor store owners. Am J Public Health 2015;105(6):e16–e21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Korzun T, Lazurko M, Munhenzva I, et al. E-Cigarette Airflow Rate Modulates Toxicant Profiles and Can Lead to Concerning Levels of Solvent Consumption. ACS omega 2018;3(1):30–36. doi: 10.1021/acsomega.7b01521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Jeong M, Zhang D, Morgan JC, et al. Similarities and Differences in Tobacco Control Research Findings From Convenience and Probability Samples. Ann Behav Med 2019;53(5):476–85. doi: 10.1093/abm/kay059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Brewer NT, Jeong M, Hall MG, et al. Impact of e-cigarette health warnings on motivation to vape and smoke. Tob Control 2019;28(e1):e64. doi: 10.1136/tobaccocontrol-2018-054878 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Berry KM, Fetterman JL, Benjamin EJ, et al. Association of Electronic Cigarette Use With Subsequent Initiation of Tobacco Cigarettes in US Youths. JAMA Network Open 2019;2(2):e187794–e94. doi: 10.1001/jamanetworkopen.2018.7794 %J JAMA Network Open [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
