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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2023 Jan 28;20(3):2332. doi: 10.3390/ijerph20032332

E-Cigarette Quit Attempts and Experiences in a Convenience Sample of Adult Users

Meagan A Bluestein 1, Geronimo Bejarano 1, Alayna P Tackett 2,3, Jaimie C Duano 1, Shelby Grace Rawls 1, Elizabeth A Vandewater 4,5, Jasjit S Ahluwalia 6,7, Emily T Hébert 1,5,*
Editors: Klaas F Franzen, Daniel Drömann
PMCID: PMC9916273  PMID: 36767698

Abstract

Most e-cigarette users report planning to quit, but there is a paucity of evidence-based interventions for e-cigarette cessation. In the absence of interventions for e-cigarette cessation, we sought to understand how and why e-cigarette users attempt to quit on their own. Participants were recruited from Amazon Mechanical Turk, an online crowdsourcing platform. Those who reported they had ever used e-cigarettes regularly and had attempted to quit e-cigarette use were eligible for participation. Measures included demographic characteristics, other tobacco product use, e-cigarette device characteristics, barriers to quitting e-cigarettes, and facilitators to quitting e-cigarettes. A content analysis was conducted on twotwo open-ended questions that asked about advice respondents had for others trying to quit vaping and resources they wished they had during their quit attempt. Descriptive analyses were performed (means/standard errors; frequencies/proportions). A total of 89.0% reported using an e-cigarette with nicotine, 20.2% reported a nicotine concentration of 4–6 mg/mL%, 32.8% reported using multiple flavors, and 77.7% reported using their e-cigarette every day or some days. The primary reason reported for wanting to quit e-cigarettes was health concerns (42.2%), and 56.7% reported trying to quit “cold turkey”. During quit attempts, 41.0% reported intense cravings and 53.1% reported stress as a trigger. From the content analysis, the most commonly cited suggestion for those wanting to quit e-cigarettes was distractions/hobbies (19.9%), followed by reducing/tapering down nicotine (16.9%). Descriptive information on demographics, e-cigarette use, device characteristics, barriers, facilitators, and quit methods provides a first step in identifying factors that contribute to successful interventions designed for e-cigarette cessation.

Keywords: vaping, cessation, interventions

1. Introduction

In the United States, an estimated 5.1% of adults aged 18 and older were current (past 30 days) e-cigarette users in 2020 [1]. A study using repeated cross-sectional data from the nationally representative Behavioral Risk Factor Surveillance System found that the prevalence of current e-cigarette use increased from 2017 to 2018 and decreased slightly in 2020; however, the prevalence of daily e-cigarette use has consistently increased over the last few years [1]. While it is generally recognized that e-cigarettes are less harmful compared with conventional cigarettes, the majority of e-cigarettes sold in the U.S. contain nicotine [2], and may expose users to nicotine levels proportionate to or higher than combustible cigarettes [3]. The latest generation of nicotine salt-based e-cigarette devices deliver nicotine at substantially higher levels than earlier e-cigarette devices [4,5], making nicotine dependence a serious concern, particularly in otherwise tobacco naïve users. In a 2016–2018 analysis of the Population Assessment of Tobacco and Health (PATH) study, researchers found that current established e-cigarette users (had ever used fairly regularly, now uses every day or some days) had a nicotine dependence level of 1.95 (out of 5), and 13.3% had attempted to quit using e-cigarettes in the past year [6].

Nearly two-thirds of adult e-cigarette users in the wave 3 2015–2016 PATH study reported plans to quit e-cigarettes for good [7], yet to date, there are few evidence-based interventions specifically designed for individuals who want to quit vaping. E-cigarette users offer multiple reasons for wanting to quit, such as health and safety concerns, financial cost, and a desire to be free from addiction [8,9]. Few studies have explored how e-cigarette users attempt to quit vaping, and what their quit experiences are like. A cross-sectional survey of dual e-cigarette and combustible cigarette users found that e-cigarette users had a lifetime median of five e-cigarette quit attempts, and that the most common methods used were cutting down (68%), advice from a doctor (28%), and quitting “cold turkey (24%)” [10]. Preliminary evidence suggests that the e-cigarette cessation experience may share some similarities with quitting conventional cigarettes. In a recent analysis of the Wave 2 PATH survey, 40% of U.S. adult exclusive e-cigarette users reported withdrawal symptoms when they tried to stop or reduce e-cigarette use, and unsuccessful quitters appeared to have a greater number of withdrawal symptoms than successful quitters [11].

Given the diversity of e-cigarette device types, product characteristics (e.g., nicotine type, nicotine strength), and the number of e-cigarette users who want to quit, research is needed to inform effective vaping cessation interventions. In the absence of evidence-based treatments specific to e-cigarette cessation [12], we sought to understand how and why e-cigarette users are attempting to quit on their own. The purpose of the present study is to describe the use patterns and quit experiences of past or current regular e-cigarette users who made at least once quit attempt.

2. Materials and Methods

Participants were recruited from Amazon Mechanical Turk (MTurk), an online crowdsourcing platform with data collected in June 2021. All study procedures were approved by the University of Oklahoma Health Sciences Center Institutional Review Board (IRB).

2.1. Inclusion Criteria & Final Sample

A total of 1137 participants met the study inclusion criteria: (1) English speaker, (2) age 18 or older, (3) ever used e-cigarettes regularly (i.e., daily, weekly, or monthly at some point in their life), and (4) made at least one lifetime e-cigarette quit attempt. Because of concerns regarding the quality of MTurk data, we closely examined the pattern of participant responses, and dropped those who exhibited implausible, dubious, or otherwise untrustworthy response patterns. This is an extremely conservative approach to data quality and control, but given the known issues with MTurk data, we believe it was warranted to foster confidence in the quality of the data retained in the analytic sample. On the basis of data review, n = 350 were dropped from analyses for a variety of non-completion reasons (n = 190 answered screener questions only, n = 89 finished in less than 5 min (the lower 10% of the distribution of time spent on the survey, median time to finish the survey was 9.6 min), n = 36 didn’t complete the survey at all, n = 34 reported different ages on the screener vs. the survey, and n = 1 did not agree to provide accurate data). The final sample included n = 787 adult participants ages 18 and over who, at some point(s) in their lifetime, were regular e-cigarette users and had made at least one attempt to quit e-cigarette use.

2.2. Measures

2.2.1. Demographics

Participants responded to a variety of demographic questions including age (in years), gender (men, women, transgender, non-binary, genderfluid/genderqueer, other), race (White, Black/African American, Asian, other or multi-race), ethnicity (Hispanic or non-Hispanic), annual household income (less than $25,000, $25,000-$49,999, $50,000-$99,999, $100,000 or more), and educational attainment (less than high school, high school graduate/GED, some college/Associate’s degree, Bachelor’s degree, and Master’s/professional degree/PhD).

2.2.2. E-Cigarette Use and Device Characteristics

Participants indicated how often they currently use e-cigarettes (every day, some days, not at all), the timing of their last e-cigarette use (earlier today, within the past 7 days, within the past 30 days, more than 30 days ago), how frequently they use e-cigarettes in a single day (0–4 times per day, 5–9 times per day, 10–14 times per day, 15+ times per day, where a single “time” was defined as about 15 puffs or lasting about 10 min), and 2 items from the validated Penn State Electronic Cigarette Dependence Scale [13]: how soon after waking they first use their e-cigarette (0–5 min, 6–15 min, 16–30 min, 31–60 min, more than 60 min), the number of nights per week they wake from sleep to use their e-cigarette (0–1 nights, 2–3 nights, 4+ nights), and if have they completely quit using e-cigarettes (yes/no). Participants also indicated the type of device they use most often (disposable, prefilled pods/cartridges, tank refilled with liquids, customizable mod system), and their usual nicotine concentration (1–3 mg/mL, 4–6 mg/mL, 7–12 mg/mL, 13–17 mg/mL, 18–24 mg/mL, 25–39 mg/mL, 40–49 mg/mL, 50+ mg/mL, don’t know).

2.2.3. Other Tobacco Product Use

In addition to the timing of last cigarette use (earlier today, within the past 7 days, within the past 30 days, more than 30 days ago, never), lifetime ever use (yes/no) of 9 tobacco products (cigar products, hookah, smokeless tobacco, roll-your-own cigarettes, pipe, snus, dissolvable tobacco, bidis, and heat-not-burn products) was measured.

2.2.4. E-Cigarette Quitting: Reasons for Quitting, Methods Tried, and Experiences during Quit Attempts

Participants indicated whether their reasons to stop using e-cigarettes included any of the following (yes/no for each): cost, dislike of taste or side effects, e-cigarette use did not aid conventional cigarette quit attempts, poor quality/defective/break easily/a hassle to use, health risk concerns, just experimenting, or some other reason.

They also indicated how many different quit methods they had tried (cold turkey, decreasing nicotine content, trying to use less often, switching flavors, nicotine replacement therapy, other), as well as resources they used to aid quitting (a phone app, a free text messaging program, a telephone quit line, resources from a website, other).

Participants were asked who they would trust to give them advice about quitting e-cigarettes (doctors or other medical professionals, scientists or researchers, family members or friends, vape store employees, others who have quit vaping, and other).

During quit attempts, participants indicated whether or not they had experienced any of 12 possible withdrawal symptoms (intense cravings, tingling in hands and feet, sweating, nausea, headaches, coughing, insomnia, difficulty concentrating, anxiety, depression, weight gain, and other), any of 5 possible triggers (cravings, seeing someone else vape, drinking alcohol, stress, anxiety, other) when attempting to quit e-cigarettes, and whether they had used any of 5 possible coping methods in response to triggers (distraction, meditation or breathing exercises, eating or chewing gum or ice, talking to a family member or friend, other).

2.2.5. Content Coding of Open-Ended Responses Regarding Quitting E-Cigarettes

Two open-ended, optional questions were included in the survey regarding advice respondents had for others trying to quit (“What advice would you have for someone trying to quit vaping?”), as well as resources that they wished they had during their own quit attempt (“What resources do you wish you had to help you quit vaping”).

Four independent coders reviewed the open-ended responses and developed a codebook to reflect participant responses to the two questions. Responses were coded for mentions of specific quit strategies used (i.e., cold turkey, medications, distractions/hobbies, reducing or tapering down on nicotine concentration, avoidance), mentions of quitting resources used (i.e., professional help, web/mobile resources, peer resources), as well as mentions of social support for quitting, commitment/motivation to quit, and negative health effects of vaping. Coders trained with three rounds of practice coding (60 responses total) until interrater reliability was reached for each category (Cronbach’s alpha of at least 0.8), before coding the entire sample. Responses that were irrelevant, nonsensical, or were suspected of being copied from an online resource (e.g., identical language and syntax to Smokefree.gov) were excluded from analysis.

2.3. Analysis

Because so little is known about e-cigarette quit attempts, our primary purpose in this study is to provide some initial descriptive statistics regarding the e-cigarette, tobacco use, and quit attempt experiences among e-cigarette users who have tried to quit using e-cigarettes. Means and standard deviations or frequencies and proportions, respectively, were used to describe continuous or categorical variables as appropriate. Analyses were conducted in SAS version 9.4-TSlevel1M6 [14].

3. Results

Recall that based upon the inclusion criteria, sample participants were English speaking adults ages 18 and older who reported using e-cigarettes regularly at some point in their life and had tried to quit using e-cigarettes at least once.

3.1. Demographics

Sample demographic characteristics are shown in Table 1. Participants were 37.4 years old on average, 21% of the sample were young adults (ages 19–29), and the sample age ranged widely, from 19–70 years old. The sample was largely male (59%), White (76.4%), non-Hispanic, (86.5%), and college educated, with 47.4% holding a bachelor’s degree. This may reflect the characteristics of MTurk participants, of individuals meeting the study inclusion criteria, or both.

Table 1.

Sample Demographic Characteristics.

n %
Age Mean (SD) 37.4 (10.3)
Age group 18–24 48 6.1
25–34 336 42.7
35–44 229 29.1
45–54 110 14.0
55–64 49 6.2
65+ 15 1.9
Gender Women 317 40.3
Men 464 59.0
Transgender/Other 6 0.8
Race Asian 36 4.6
Black or African American 105 13.3
White 601 76.4
Other, Multi-race 40 5.1
Did not respond 5 0.6
Ethnicity Hispanic 106 13.5
Non-Hispanic 681 86.5
Annual
Household Income
Less than $25,000 104 13.2
$25,000–$49,999 248 31.5
$50,000–$99,999 324 41.2
$100,000 or more 104 13.2
Did not respond 7 0.9
Educational
Attainment
High school graduate, GED 74 9.4
Some college/Associate’s degree 203 25.8
Bachelor’s degree 373 47.4
Master’s, Professional degree, PhD 137 17.4

Note: Total N = 787.

3.2. E-Cigarette Use and Device Characteristics

Table 2 shows the summary statistics for e-cigarette use and device characteristics. A total of 72.3% of respondents reported using e-cigarettes within the last 30 days, and 42.6% (n = 335) reported that they had completely quit using e-cigarettes. However, there were discrepancies among those who reported they had completely quit using e-cigarettes, as 18.3% (n = 144) of self-reported “quitters” also reported using e-cigarettes in the past 30 days, and 21.2% reported that they now use e-cigarettes every day or some days (n = 167). This may indicate the need to carefully define the meaning of quitting in future studies, as participants may think of “completely quitting” as an episodic, rather than permanent state or consider themselves to be “quitters” even after a short period of time.

Table 2.

E-cigarette use and device characteristics.

n %
Last e-cigarette use Earlier today 310 39.4
Within the past 7 days 188 23.9
Within the past 30 days 71 9.0
More than 30 days ago 218 27.7
Current e-cigarette use Every day or some days 611 77.6
Not at all 176 22.4
Has completely quit using e-cigarettes Yes 335 42.6
No 452 57.4
Frequency of daily e-cigarette use 0–4 times per day 305 38.8
5–9 times per day 233 29.6
10–14 times per day 124 15.8
15+ times per day 125 15.9
E-cigarette nicotine concentration No nicotine 87 11.1
1–3 mg/mL 107 13.6
4–6 mg/mL 159 20.2
7–12 mg/mL 79 10.0
13–17 mg/mL 31 3.9
18–24 mg/mL 48 6.1
25–49 mg/mL 45 5.8
50+ mg/mL 46 5.8
I don’t know the concentration 185 23.5
E-cigarette device type Disposable 205 26.1
Pre-filled pods or cartridges 400 50.8
Refillable tank 121 15.4
Customizable mod system 60 7.6
Time until first e-cigarette upon waking 0–5 min 165 21.0
6–15 min 199 25.3
16–30 min 165 21.0
31–60 min 110 14.0
60 min+ 148 18.8
Nights per week wake from sleep to use e-cigarette 0–1 nights 586 74.5
2–3 nights 171 21.7
4+ nights 30 3.8
Last combustible cigarette use Earlier today 258 32.8
Past 7 days 152 19.3
Past 30 days 69 8.8
More than 30 days ago 300 38.1
Never 8 1.0
Dual e-cigarette/cigarette use in the past 30 days Dual use 420 53.4
E-cigarettes only 149 18.9
Cigarettes only 59 7.5
Neither 159 20.2
Ever use of other tobacco products * Any cigar product 601 76.4
Hookah 372 42.3
Smokeless tobacco 251 31.9
Roll-your-own cigarettes 298 37.9
Pipe 174 22.1
Snus 141 17.9
Dissolvable tobacco 33 4.2
Bidis 63 8
Heat-not-burn products 78 9.9

Note: Total N = 787. * Responses were “check all that apply”, and thus do not equal 100%.

A majority of the sample used e-cigarettes some days or every day (77.7%), and roughly two thirds (67.2%) reported using e-cigarettes within 30 minutes of waking. The vast majority of participants (89.0%, n = 700) reported using e-cigarettes with nicotine, but almost one-quarter (23.5%, n = 185) reported that they did not know the nicotine concentration. The mode (20.2%) for nicotine concentration was 4–6 mg/mL%. As this concentration is rather low, it is possible that this sample of users consumes a lower than average amount of nicotine when vaping, or that they tend to underestimate the nicotine concentration they typically consume while vaping e-cigarettes. Regardless, this issue warrants careful examination in future work, as nicotine consumption has a large influence on the ability of users to quit [15,16].

More than half of participants were dual e-cigarette/cigarette users, with 53.4% reporting they had used e-cigarettes and cigarettes in the past 30 days, while 18.9% had used e-cigarettes exclusively in the past 30 days. It is worth noting that respondents were asked if they had ever tried any of the other tobacco products (e.g., dissolvables, cigars, etc.) during their lifetime, even once. Thus, an individual whose cigar use was limited to a single puff of a friend’s cigar could answer in the affirmative, which might explain the relatively high percentage of ever users for some products (e.g., 76.4% for any cigar product).

3.3. E-Cigarette Quitting: Reasons for Quitting, Methods Tried, and Experiences during Quit Attempts

Table 3 reports summary statistics for reasons to quit, strategies used to quit using e-cigarettes, and experiences during quitting. Of the adult current e-cigarette users and e-cigarette quitters, 83.7% had attempted to quit at least once in the past year, 42.2% reported the main reason they stopped/wanted to stop using e-cigarettes was due to health concerns, 62.8% said they would trust doctors or other medical professionals to give them advice on quitting e-cigarettes, and 56.7% reported quitting cold turkey as a method used to attempt quitting e-cigarettes.

Table 3.

E-cigarette Quit Attempts Reasons, Methods, and Experience.

%
Number of E-Cigarette Quit Attempts in Past Year Did not attempt to quit in past year 128 16.3
1 time 123 15.6
2 times 197 25.0
3–5 times 237 30.1
6–9 times 44 5.6
10 or more times 58 7.4
Main reason for quitting Cost 178 22.6
Unpleasant taste or side-effects 48 6.1
Did not aid cigarette cessation 148 18.8
Poor quality, hassle to use 42 5.3
Health risks 332 42.2
Just experimenting 18 2.3
Other 21 2.7
Person of trust for quit advice * Doctors, other medical professionals 494 62.8
Scientists, researchers 329 41.8
Family members, friends 353 44.9
Vape store employees 41 5.2
Others who have quit vaping 232 29.5
Other 11 1.4
Quit methods used * Cold Turkey 446 56.7
Decrease nicotine content 299 38.0
Use less often 440 55.9
Change flavor 92 11.7
Nicotine replacement therapy 120 15.3
Other 13 1.7
Side effects or withdrawal symptoms experienced * Intense cravings 323 41.0
Tingling in hands and feet 58 7.4
Sweating 131 16.7
Nausea 76 9.7
Headaches 237 30.1
Coughing 59 7.5
Insomnia 77 9.8
Difficulty concentrating 139 17.7
Anxiety 184 23.4
Depression 72 9.2
Weight gain 53 6.7
Triggers experienced * Cravings 411 52.2
Seeing someone else vape 298 37.9
Drinking alcohol 206 26.2
Stress 418 53.1
Anxiety 277 35.2
Other 23 2.9
Trigger coping methods used * Distraction 527 67.0
Meditation or breathing exercises 246 31.3
Eating or chewing gum or ice 382 48.5
Talking to a family member or friend 148 18.8
Other 33 4.2
Resources used to quit * An app for my phone 135 17.2
A free text messaging program 104 13.2
A telephone or quit line 87 11.1
Resources from a website 176 22.4
None of the above 432 54.9

Note: Total N = 787. * Responses were “check all that apply”, and thus do not equal 100%.

During attempts to quit or cut back, 41.0% reported intense cravings as a side effect, 53.1% reported stress as a trigger that made them want to use again, 67.0% reported distraction as a method to cope with triggers, 22.4% reported using website resources to help them quit, while 54.9% reported not using any resources at all.

3.4. Content Coding of Open-Ended Responses Regarding Quitting E-Cigarettes

A total of 638 (81.1% of the sample) open-ended responses were coded for analysis. The most commonly cited suggestion for those wanting to quit e-cigarettes was distractions, hobbies, or alternative activities (e.g., exercise, meditation, 19.9%), followed by reducing or tapering down on nicotine (16.9%), medications or nicotine replacement therapy (14.1%), and peer resources (i.e., other vapers who have quit or support groups, 13.8%). Other resources mentioned included professional help (i.e., help from a physician or mental health professional, 12.7%), and web or mobile resource (i.e., app, website, or online forum, 11.3%). Aside from specific quit strategies and resources mentioned, mentions of commitment, motivation, and/or willpower were common (21%), as were mentions of social support from friends or family (19.7%), and the negative health effects of vaping (13.0%).

4. Discussion

The present study summarizes the experiences of a convenience sample of adult e-cigarette users who have attempted to quit e-cigarettes. In the current sample, a majority of respondents (77.6%) reported current e-cigarette use on some days or every day, most reported using pod-based devices, and 83.7% had attempted to quit vaping at least once in the past year. Notably, most of the sample (60.9%) reported conventional cigarette use in the past 30 days. The main reasons that participants wanted to quit using e-cigarettes were “I was concerned about the health risks caused by them” (42.2%) and “They cost too much money” (22.6%). These results are consistent with a prior qualitative study among a sample of young adult e-cigarette users [8], in which general health (29.8%) and financial cost (26.5%) were the most common reasons cited for wanting to quit.

Quitting “cold turkey” was the most popular quit method endorsed by participants. This is in contrast to a content analysis of a quit vaping community on Reddit, which found that 66.9% of community members preferred a gradual reduction or by tapering the nicotine content, compared to 33.1% of those who preferred the “cold turkey” approach [15]. It may be possible that users’ preferences or quit method depends on the type of e-cigarette device that they use. While tapering down on nicotine content gradually may be possible with tank or mod-type devices, it may be less feasible with closed system devices like disposables, pods, or cartridges. In addition, quit methods may vary based on tobacco use status. Importantly, most e-cigarette users in this sample were also current users of conventional cigarettes (dual users). Given that 18.8% of e-cigarette users in this study claimed that they wanted to quit using e-cigarettes because they did not help with cigarette cessation, it is possible that this is how they became dual users. This finding agrees with a previous study of dual users of e-cigarettes and cigarettes from the wave 4 (2016–2018) and wave 5 (2018–2019) PATH study, which found that 16.0% reported using e-cigarettes for quitting smoking and harm reduction; however, this was not associated with cigarette cessation one year later [16]. In a similar cross-sectional survey of adult dual cigarette and e-cigarette users, the methods respondents used to quit conventional cigarettes were highly correlated with methods they used to quit e-cigarettes, such as nicotine replacement therapy and cutting back [7]. In the same study, over 20% of the sample increased use of conventional cigarettes during their attempt to quit vaping [12]. Thus, intervention strategies for e-cigarette cessation need to carefully consider users’ baseline tobacco use status, and consider approaches that minimize harm from conventional cigarette smoking in the effort to achieve abstinence from all nicotine and tobacco products.

The results of this study have several implications for future research and development of interventions for e-cigarette cessation. First, a majority of users indicated that they would trust advice for vaping cessation from a medical professional, followed by advice from family members of friends. Future interventions or communication strategies might therefore consider medical settings (e.g., brief interventions during a primary care visit) for intervention delivery, and/or incorporating support from family or friends. Second, many respondents reported experiencing side effects or withdrawal symptoms during e-cigarette quit attempts, such as headaches and intense cravings. Future intervention strategies might consider incorporating gold standard smoking cessation treatments including pharmacotherapy and nicotine replacement therapy to help alleviate these symptoms. Finally, the discrepancies in answers to e-cigarette use status from different questions about e-cigarette use and quitting (i.e., 18.3% of those who consider themselves quitters have used in the past 30 days) indicate a need to clearly define quitting with specific criteria, including time since last use. Future research should examine users’ perceptions of what it means to be “completely quit”, and if self-identifying as a quitter despite recent use is associated with intentions or motivation to quit.

5. Strengths and Limitations

One limitation of note is that using a convenience sample from Amazon mTurk may severely limit the generalizability of findings to the wider U.S. population [17]. It should be noted, however, that while mTurk participants differ from the U.S. population demographically, smoking prevalence among mTurk users is comparable to data from the National Adult Tobacco Survey [18]. Moreover, given the known issues with the quality generated by MTurk respondents, we undertook a variety of steps to screen and process the data, fostering confidence in the quality of data used in our analyses. Indeed, the value of these data and analyses are elevated in the context of almost no investigation into e-cigarette users quit attempts and experiences. Another limitation is that this sampling approach offers only respondent self-report, as it is not possible to objectively confirm use or quit status. Finally, these data were collected during the COVID-19 pandemic, which may have impacted e-cigarette use and quitting behaviors.

6. Conclusions

This study is the among the first to conduct an examination focused on e-cigarette users who had all made a quit attempt. To date, much of what we know is based on samples of tobacco users, who use e-cigarettes as a way to quit using combustibles, which is an important avenue for harm reduction. However, data from younger cohorts indicates that an increasing number of young adults use e-cigarettes only. A sizeable portion of these young adults have become addicted to e-cigarettes, and are indicating their desire to quit. Descriptive information regarding demographic characteristics, e-cigarette use and device characteristics, reasons, methods, and resources used to quit e-cigarettes specifically, as well as the experience of users during a quit attempt (cravings, withdrawal symptoms, triggers, etc.) is a critical first step to developing effective interventions for those who wish to quit using e-cigarettes.

Author Contributions

Conceptualization, E.T.H.; methodology, E.T.H.; validation, A.P.T., E.A.V. and J.S.A.; formal analysis, M.A.B.; investigation, M.A.B., G.B., J.C.D., S.G.R. and E.T.H.; data curation, M.A.B. and E.T.H.; writing—original draft preparation, M.A.B., G.B. and E.T.H.; writing—review and editing, M.A.B., G.B., A.P.T., J.C.D., S.G.R., E.A.V., J.S.A. and E.T.H.; supervision, E.T.H.; project administration, E.T.H.; funding acquisition, E.T.H. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

All study procedures were approved by the University of Oklahoma Health Sciences Center Institutional Review Board (approval number: 12373; approval date: 26 August 2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

Dr. Ahluwalia received sponsored funds for travel expenses as a speaker for the 2021 and 2022 annual Global Tobacco & Nicotine Forum conference. Dr. Ahluwalia serves as a consultant and has equity in Qnovia, a start-up company developing a nicotine replacement product for FDA prescription product approval.

Funding Statement

Manuscript preparation was supported through the National Institute on Drug Abuse of the National Institutes of Health under award number R00DA046564 (to E.T.H.), by the National Heart, Lung, and Blood Institute under award number K01HL148907 (to A.P.T.), and through the Oklahoma Tobacco Settlement Endowment Trust (TSET) grant 092-016-0002 (to M.A.B.), P20GM130414, a NIH funded Center of Biomedical Research Excellence (COBRE) (to J.S.A.). The contents of the manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the sponsoring organizations.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.


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