OBJECTIVES

This study sought to examine the prevalence and factors associated with youth vaping cessation behaviors.

METHODS

Current (past 30-day) electronic-cigarette (e-cigarette) users from the 2020 National Youth Tobacco Survey (n = 1660, typically aged 11–18 years) were analyzed to examine the prevalence of youth intention to quit vaping, past-year quit attempts, and the frequency of quit attempts. Multivariable logistic or linear regressions were performed to assess the correlates with youth vaping cessation behaviors.

RESULTS

In 2020, 53.4% of current e-cigarette users reported intention to quit vaping and 67.4% reported having tried to quit vaping. Intention to quit was lower among female individuals (versus male individuals, adjusted odds ratio [aOR] = 0.7, P = .0004), users of a modifiable system (versus disposable e-cigarettes, aOR = 0.4, P = .0204), and dual or poly users (versus sole e-cigarette use, aOR = 0.7, P = .0144). e-cigarette harm perception was positively associated with intention to quit (aOR = 2.2, P < .0001) and past-year quit attempts (aOR = 1.6, P = .0037). Reasons for e-cigarette use were related to cessation behaviors. Adolescents who vaped because of curiosity had higher odds of past-year quit attempts (aOR = 1.4, P = .0306), whereas users to disguise vaping had a lower likelihood of intention to quit (aOR=0.4, P < .0001) and past-year quit attempts (aOR = 0.7, P = .0126). The average number of past-year quit attempts was 5.3, and it was lower among female individuals (versus male individuals), users of e-cigarettes with prefilled pods or cartridges (versus disposable e-cigarettes), and those with nicotine cravings (versus no nicotine craving).

CONCLUSIONS

Intention to quit vaping and past-year quit attempts are prevalent among US adolescent e-cigarette users. The study findings inform the development of multifaceted vaping cessation programs to take sex, e-cigarette devices, vaping reasons and patterns, harm perception, and nicotine dependence into account.

What’s Known on This Subject:

Electronic cigarette (e-cigarette) use increased dramatically among US youth during 2017–2019 and remained at an epidemic level in 2020. However, there is a dearth of research aimed at e-cigarette–quitting behaviors in youth.

What This Study Adds:

This study found that more than one-half of current e-cigarette users reporting intention to quit vaping and 67.4% of them reported past-year vaping quit attempts. Vaping cessation behaviors were associated with tobacco co-use, vaping device, harm perceptions, and reasons for vaping.

Electronic cigarettes (e-cigarettes) have been the most commonly used tobacco product in youth since 2015 in the United States.13  Most of the current literature on youth e-cigarette use (“vaping”) focuses on initiation or transition in e-cigarettes to cigarettes and other substances.4,5  There is a dearth of research aimed at youth vaping cessation behaviors. A recent study6  of the Wave 4 Population Assessment on Tobacco and Health (PATH) survey reported that 44.5% of US adolescents who vape were seriously thinking about quitting and 24.9% reported past-year quit attempts in 2017.

Since 2018, there have been considerable changes in youth use of e-cigarettes and the e-cigarette marketplace. First, the prevalence of current e-cigarette use substantially increased to an epidemic level among US adolescents.7,8  Second, e-cigarette devices are rapidly evolving, with JUUL being the most popular e-cigarette product in 20189  and a significant increase in sales of disposable vaping products from 2019 to 2020.10  Third, there was a national outbreak of severe respiratory diseases related to e-cigarette (or vaping) product-use–associated lung injury in 2019, primarily linking to tetrahydrocannabinol-containing e-cigarette products.11  Meanwhile, there had been ongoing momentum of raising the minimum age of sale for tobacco products from 18 to 21 (Tobacco 21) across US states and localities before a nationwide adoption in December 2019.12  All these factors could influence youth vaping quit behaviors, but there is no latest update to report youth intention to quit vaping and quit attempts. Furthermore, several important e-cigarette use characteristics, such as device and flavor use, nicotine dependence and craving, vaping harm perception, reasons for vaping, and marketing influences, were not examined in the previous research.

Intention to quit tobacco use is a crucial step toward tobacco cessation. A growing body of scientific evidence reveals that it usually takes smokers multiple tries to quit smoking for good, but each quit attempt is a step forward.13  Healthy People 2020 also included an objective focusing on increasing cessation attempts by adolescent smokers.14  Therefore, it is vital to assess both past-year quit attempt status and the number of quit attempts among youth. In previous studies, researchers have identified risk factors related to youth smoking cessation, such as smoking history, nicotine dependence, and multiple tobacco product use.13,15  Vaping prevention programs, such as the US Food and Drug Administration (FDA)’s “The Real Cost” campaign, have delivered messages to educate teenagers about the risk of e-cigarette use.16  However, it is unclear how these factors may be correlated with youth vaping quit behaviors. Programs targeting vaping cessation might improve efficacy by taking factors associated with vaping cessation intention and attempts into account.

This study analyzed the 2020 National Youth Tobacco Survey (NYTS) with the following 3 aims: (1) report the prevalence of intention to quit vaping in the next 12 months and past-year quit attempts among current e-cigarette users, (2) examine multifaceted risk and protective factors that may be associated with intention to quit vaping and quit attempts, and (3) assess the frequency of vaping quit attempts.

The NYTS is a school-based survey conducted annually to produce a nationally representative sample of US middle school (grades 6–8) and high school (grades 9–12) students. The 2020 NYTS was conducted by using a stratified, 3-stage cluster sampling procedure, and 14 531 students from 180 schools completed the questionnaire. The school participation rate was 49.9%, and the student response rate was 87.4%, yielding an overall response rate of 43.6%.17  A detailed description of the 2020 NYTS survey can be found on the NYTS Web site.18  Given the use of public data with deidentified information, this study is treated as nonhuman subjects research.

Intention to Quit Vaping and Quit Attempts

Students who reported having used e-cigarettes ≥1 day in the past 30 days were classified as current e-cigarette users19  and were asked the question, “Are you seriously thinking about quitting e-cigarettes?” Those who responded “Yes, during the next 30 days,” “Yes, during the next 6 months,” and “Yes, during the next 12 months” were classified with “an intention to quit vaping in the next 12 months.”

Past-year vaping quit attempt among current e-cigarette users was measured by responding ≥1 time to the question, “During the past 12 months, how many times have you stopped using e-cigarettes for one day or longer because you were trying to quit using e-cigarettes for good?” with response options “I did not try to quit during the past 12 months,” “1 time,” “2 times,” “3 to 5 times,” “6 to 9 times,” and “10 or more times.” Among those who responded with ≥1 past-year vaping quit attempt, the frequency of quit attempts was coded as a continuous variable in the range from 1 to 10 (1, 2, 3–5 [recoded = 4], 6–9 [recoded = 7.5], ≥10 times [recoded = 10]).

e-Cigarette Use Characteristics

Current e-cigarette users were categorized as “occasional” (≤5 days), “moderate” (5–19 days), and “frequent users” (≥20 days) on the basis of the frequency of e-cigarette use in the past 30 days.20  Current e-cigarette users who reported using e-cigarettes that tasted like menthol, mint, clove or spice, alcohol, candy, fruit, chocolate, or any other flavor were classified as “flavored e-cigarette users.” On the basis of the difference between the age when respondents first used an e-cigarette and their current age, vaping duration was created as 4 mutually exclusive groups: <1 year, 1 year, 2–3 years, and >3 years. Vaping products used in the past 30 days and perceived harm of e-cigarette use were also analyzed.

Tobacco Use Status

Current other tobacco users were defined as those who reported using ≥1 nonelectronic-cigarette tobacco products (ie, cigarettes, cigars, smokeless tobacco products, hookahs, pipe tobacco, bidis, and heated tobacco product) on ≥1 day in the past 30 days.7  Those who reported only using e-cigarettes currently were defined as “sole e-cigarette users,” and those who reported co-use of e-cigarettes and cigarettes or other tobacco products were defined as “dual or poly users.” Nicotine craving within 30 minutes of waking up was measured by the question, “How soon after you wake up do you want to use a tobacco product?”21 

Reasons for e-Cigarette Use and Other Covariates

Participants were asked, “What are the reasons that you have used e-cigarettes?” This study analyzed motivation to quit smoking (ie, “To try to quit using other tobacco products, such as cigarettes”) and the other 3 top reasons for youth vaping (ie, “A friend used them,” “I was curious about them,” and “I can use them unnoticed at home or at school”). To avoid multicollinearity in regression models, I excluded reasons with low prevalences (eg, “They cost less than other tobacco products”) and reasons highly correlated with existing covariates (eg, “They are less harmful than other forms of tobacco”). Demographic variables and other covariates are described in Table 1.

TABLE 1

Sample Characteristics of Current e-Cigarette Users, 2020 NYTS (n = 1660)

CharacteristicsnWeighted n (,000)Weighted % (95% CI)
Overall 1660 3355 100 
Sex    
 Male 839 1743 52.1 (48.8–55.3) 
 Female 818 1605 47.9 (44.7–51.2) 
Grade    
 Middle school 285 502 15.0 (10.0–20.0) 
 High school 1371 2843 85.0 (80.0–90.0) 
Race and ethnicity    
 Non-Hispanic white 1014 2103 63.1 (56.8–69.3) 
 Non-Hispanic Black 80 192 5.7 (4.1–7.4) 
 Hispanic 493 891 26.7 (20.5–32.9) 
 Others 63 149 4.5 (2.8–6.2) 
Sexual minority    
 Heterosexual 1256 2103 79.4 (76.5–82.3) 
 Gay or lesbian 81 192 5.2 (3.8–6.7) 
 Bisexual 182 891 11.0 (8.8–13.1) 
 Unsure 63 149 4.5 (3.0–5.9) 
Frequency of e-cigarette use    
 Occasional (≤5 d) 717 1407 41.9 (38.4–45.5) 
 Moderate (6–19 d) 328 684 20.4 (18.0–22.8) 
 Frequent (≥20 d) 615 1264 37.7 (34.0–41.4) 
Vaping Duration,a   
 <1 241 490 14.8 (12.3–17.3) 
 1 558 1123 33.9 (30.4–37.4) 
 2–3 612 1230 37.1 (33.5–40.7) 
 >3 229 471 14.2 (11.7–16.7) 
Type of e-cigarette used in the past 30 d    
 A disposable e-cigarette 413 845 25.5 (18.9–32.0) 
 An e-cigarette that uses prefilled pods or cartridges 768 1574 47.4 (41.9–53.0) 
 An e-cigarette with a tank that you refill with liquids 269 525 15.8 (12.1–19.5) 
 A modifiable system 79 162 4.9 (3.3–6.4) 
 I don’t know the type 115 214 6.5 (4.8–8.1) 
Multiple tobacco product useb    
 Sole e-cigarette 997 2000 59.8 (55.4–64.2) 
 Dual and poly use 659 1347 40.2 (35.8–44.6) 
Flavor use in e-cigarettec    
 No 245 511 15.2 (13.2–17.3) 
 Yes 1415 2844 84.8 (82.7–86.8) 
Perceived harmfulness of e-cigarette use    
 No harm or little harm 693 1440 44.5 (41.5–47.5) 
 Some harm or a lot of harm 900 1795 55.5 (52.5–58.5) 
Nicotine craving within 30 min of wakingd    
 No 1313 2614 78.3 (75.6–80.9) 
 Yes 341 726 21.7 (19.1–24.4) 
Exposure to e-cigarette marketinge    
 No 342 717 23.9 (20.8–26.9) 
 1 419 842 28.0 (25.3–30.8) 
 2+ 718 1447 48.1 (44.9–51.4) 
Reasons for e-cigarette use: a friend used themf    
 No 1071 2158 64.3 (60.7–68) 
 Yes 589 1197 35.7 (32–39.3) 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettesf    
 No 1553 3119 93.0 (91.1–94.8) 
 Yes 107 236 7.0 (5.2–8.9) 
Reasons for e-cigarette use: I can use them unnoticed at home or at schoolf    
 No 1370 2768 82.5 (80.3–84.7) 
 Yes 290 587 17.5 (15.3–19.7) 
Reasons for e-cigarette use: I was curious about themf    
 No 946 1944 58.0 (55.6–60.3) 
 Yes 714 1411 42.0 (39.7–44.4) 
Tobacco use by household membersg    
 None 667 1421 44.3 (41.0–47.7) 
 Other tobacco products 418 854 26.6 (23.5–29.8) 
 e-cigarettes 491 930 29.0 (25.7–32.4) 
Language other than English at home    
 No 1078 2205 68.5 (63.4–73.7) 
 Yes 511 1012 31.5 (26.3–36.6) 
Cognitive impairmenth    
 No 993 1996 62.0 (59.1–64.9) 
 Yes 601 1223 38.0 (35.1–40.9) 
Seen or heard “The Real Cost”    
 No or Not Sure 365 742 22.7 (19.5–26.0) 
 Yes 1243 2519 77.3 (74.0–80.5) 
CharacteristicsnWeighted n (,000)Weighted % (95% CI)
Overall 1660 3355 100 
Sex    
 Male 839 1743 52.1 (48.8–55.3) 
 Female 818 1605 47.9 (44.7–51.2) 
Grade    
 Middle school 285 502 15.0 (10.0–20.0) 
 High school 1371 2843 85.0 (80.0–90.0) 
Race and ethnicity    
 Non-Hispanic white 1014 2103 63.1 (56.8–69.3) 
 Non-Hispanic Black 80 192 5.7 (4.1–7.4) 
 Hispanic 493 891 26.7 (20.5–32.9) 
 Others 63 149 4.5 (2.8–6.2) 
Sexual minority    
 Heterosexual 1256 2103 79.4 (76.5–82.3) 
 Gay or lesbian 81 192 5.2 (3.8–6.7) 
 Bisexual 182 891 11.0 (8.8–13.1) 
 Unsure 63 149 4.5 (3.0–5.9) 
Frequency of e-cigarette use    
 Occasional (≤5 d) 717 1407 41.9 (38.4–45.5) 
 Moderate (6–19 d) 328 684 20.4 (18.0–22.8) 
 Frequent (≥20 d) 615 1264 37.7 (34.0–41.4) 
Vaping Duration,a   
 <1 241 490 14.8 (12.3–17.3) 
 1 558 1123 33.9 (30.4–37.4) 
 2–3 612 1230 37.1 (33.5–40.7) 
 >3 229 471 14.2 (11.7–16.7) 
Type of e-cigarette used in the past 30 d    
 A disposable e-cigarette 413 845 25.5 (18.9–32.0) 
 An e-cigarette that uses prefilled pods or cartridges 768 1574 47.4 (41.9–53.0) 
 An e-cigarette with a tank that you refill with liquids 269 525 15.8 (12.1–19.5) 
 A modifiable system 79 162 4.9 (3.3–6.4) 
 I don’t know the type 115 214 6.5 (4.8–8.1) 
Multiple tobacco product useb    
 Sole e-cigarette 997 2000 59.8 (55.4–64.2) 
 Dual and poly use 659 1347 40.2 (35.8–44.6) 
Flavor use in e-cigarettec    
 No 245 511 15.2 (13.2–17.3) 
 Yes 1415 2844 84.8 (82.7–86.8) 
Perceived harmfulness of e-cigarette use    
 No harm or little harm 693 1440 44.5 (41.5–47.5) 
 Some harm or a lot of harm 900 1795 55.5 (52.5–58.5) 
Nicotine craving within 30 min of wakingd    
 No 1313 2614 78.3 (75.6–80.9) 
 Yes 341 726 21.7 (19.1–24.4) 
Exposure to e-cigarette marketinge    
 No 342 717 23.9 (20.8–26.9) 
 1 419 842 28.0 (25.3–30.8) 
 2+ 718 1447 48.1 (44.9–51.4) 
Reasons for e-cigarette use: a friend used themf    
 No 1071 2158 64.3 (60.7–68) 
 Yes 589 1197 35.7 (32–39.3) 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettesf    
 No 1553 3119 93.0 (91.1–94.8) 
 Yes 107 236 7.0 (5.2–8.9) 
Reasons for e-cigarette use: I can use them unnoticed at home or at schoolf    
 No 1370 2768 82.5 (80.3–84.7) 
 Yes 290 587 17.5 (15.3–19.7) 
Reasons for e-cigarette use: I was curious about themf    
 No 946 1944 58.0 (55.6–60.3) 
 Yes 714 1411 42.0 (39.7–44.4) 
Tobacco use by household membersg    
 None 667 1421 44.3 (41.0–47.7) 
 Other tobacco products 418 854 26.6 (23.5–29.8) 
 e-cigarettes 491 930 29.0 (25.7–32.4) 
Language other than English at home    
 No 1078 2205 68.5 (63.4–73.7) 
 Yes 511 1012 31.5 (26.3–36.6) 
Cognitive impairmenth    
 No 993 1996 62.0 (59.1–64.9) 
 Yes 601 1223 38.0 (35.1–40.9) 
Seen or heard “The Real Cost”    
 No or Not Sure 365 742 22.7 (19.5–26.0) 
 Yes 1243 2519 77.3 (74.0–80.5) 
a

Vaping duration, derived on the basis of the difference between age when respondents first used an e-cigarette and their current age, was classified as 1 of 4 mutually exclusive groups: <1 y, 1 y, 2–3 y, and >3 y.

b

Other tobacco products include cigarettes, cigars (cigars, little cigars, and cigarillos), smokeless tobacco (chewing tobacco, snuff, dip, snus, and dissolvable tobacco), hookahs, pipe tobacco, bidis, and heated tobacco product. Dual and poly users included respondents who reported current e-cigarette use and ≥1 d of other tobacco use in the past 30 d.

c

Flavor in current e-cigarette use was measured by affirmatively responding to the question “Were any of the e-cigarettes that you used in the past 30 days flavored to taste like menthol, mint, clove or spice, alcohol (wine, cognac), candy, fruit, chocolate, or any other flavor?”

d

Nicotine craving within 30 min of waking was measured by the question, “How soon after you wake up do you want to use a tobacco product?” with the following response options: “I do not want to use tobacco products,” “Within 5 minutes,” “From 6 to 30 minutes,” “From more than 30 minutes to 1 hour,” “After more than 1 hour but less than 24 hours,” and “I rarely want to use tobacco products.”

e

Four dichotomous variables were created to measure the channels of exposure to e-cigarette advertising: the Internet, newspapers and magazines, stores, and television, streaming services, or movies. Response options including “I don’t use,” “Never,” and “Rarely,” were coded as 0 (no exposure), whereas response options including “Sometimes,” “Most of the time,” and “Always” were coded as 1 (exposure). The number of exposures from multiple channels was further summed and classified into 0, 1, and 2+ types of channels.

f

Tobacco use by other household members was defined by the question “Does anyone who lives with you now…? (choose all that apply)” with the following response options: “Smoke cigarettes,” “Smoke cigars, cigarillos, or little cigars,” “Use chewing tobacco, snuff, or dip,” “Use electronic cigarettes or e-cigarettes,” “Smoke tobacco from a hookah or waterpipe,” “Smoke pipes filled with tobacco (not waterpipes),” “Use snus,” “Use dissolvable tobacco products,” “Smoke bidis (small brown cigarettes wrapped in a leaf),” “Use heated tobacco products,” and, “No one who lives with me now uses any form of tobacco.”

g

Reasons for e-cigarette use were assessed by the question “What are the reasons that you have used e-cigarettes?”

h

Assessed by the question “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?”

Statistical Methods

Sampling weights, survey strata, and primary sampling units were included in the analysis to account for the complex survey design. After descriptive analyses, weighted estimates and 95% confidence interval (CI) of the prevalence of intention to quit vaping and past-year vaping quit attempts among current e-cigarette users were reported. Among those who reported past-year vaping quit attempts, the weighted frequency and SE of vaping attempts were also reported. Multivariable logistic (dichotomous outcomes: intention to quit vaping and past-year vaping quit attempt) or linear (continuous outcome: frequency of vaping quit attempts) regression models were conducted to examine factors associated with vaping cessation behaviors, yielding adjusted odds ratios (aORs) or regression coefficients (b’s) with 95% CIs, respectively. Unadjusted logistic or linear regressions were also reported. Missing data in the explanatory variables (n range: 0–187) were managed by multiple imputation with 20 multiply imputed data sets.22  Statistical analyses were performed by using SAS 9.4 (SAS Institute, Inc, Cary, NC), and P values <.05 were considered statistically significant.

Of 1769 current e-cigarette users in 2020, this study excluded 109 subjects lacking responses to the outcome variables (intention to quit vaping and past-year vaping quit attempts). The final analytical sample (n = 1660) included 47.9% female individuals, 85.0% high school students, 63.1% non-Hispanic white individuals, 5.7% non-Hispanic Black individuals, and 26.7% Hispanic individuals (Table 1). Approximately 40.2% reported dual or poly use of e-cigarettes and other tobacco products, 55.5% perceived e-cigarette use to be harmful, and 42.0% reported using e-cigarettes due to curiosity.

As shown in Table 2, 53.4% of current e-cigarette users reported intention to quit vaping. The prevalence of intention to quit vaping was lower among female individuals than among male individuals (50.6% vs 56.1%, aOR = 0.7 [0.5–0.8], P = .0004). Students who reported using a modifiable system in the past 30 days had a lower prevalence of intention to quit vaping than disposable e-cigarette users (33.1% vs 61.0%, aOR = 0.4 [0.2–0.9], P = .0204). Dual and poly users of e-cigarettes and other tobacco products had a lower prevalence of intention to quit vaping than sole e-cigarette users (aOR = 0.7 [0.6–0.9], P = .0144), and students who perceived e-cigarette use to be harmful (versus no or little harm) had a higher prevalence of intention to quit vaping (aOR = 2.2 [1.7–2.8], P < .0001). Current e-cigarette users who reported using e-cigarettes because a friend used them had a higher prevalence of intention to quit vaping (aOR = 1.5 [1.2–1.9], P = .0003), whereas those who reported using e-cigarettes for concealing had a lower prevalence of intention to quit vaping (aOR = 0.4 [0.3–0.6], P < .0001). Current e-cigarette users who reported having seen or heard “The Real Cost” campaign (versus no or not sure) had a higher prevalence of intention to quit vaping (aOR = 1.5 [1.0–2.1], P = .0375).

TABLE 2

Prevalence and Factors Associated With Intention to Quit Vaping Among Current e-Cigarette Users, 2020 NYTS (n = 1635)

CharacteristicsPrevalence of Intention to Quit Vapinga (n = 1635)
Weighted % (95% CI)ORbPaORcP
Overall 53.4 (49.7–57.1) N/A N/A N/A N/A 
Sex      
 Male 56.1 (51.2–61.0) Reference Reference Reference Reference 
 Female 50.6 (46.3–54.9) 0.8 (0.6–1.0) .0520 0.7 (0.5-0.8)d .0004d 
Grade      
 Middle school 50.5 (43.1–57.8) Reference Reference Reference Reference 
 High school 53.9 (49.7–58.2) 1.1 (0.8–1.6) .4234 0.9 (0.6–1.3) .7029 
Race and ethnicity      
 Non-Hispanic white 54.0 (49.8–58.3) Reference Reference Reference Reference 
 Non-Hispanic Black 57.8 (42.5–73.2) 1.2 (0.6–2.2) .6284 1.2 (0.6–2.6) .5902 
 Hispanic 51.3 (44.5–58.1) 0.9 (0.7–1.2) .4690 0.9 (0.6–1.3) .6808 
 Other 53.5 (38.9–68.1) 1.0 (0.5–1.9) .9486 1.1 (0.6–1.8) .8267 
Sexual minority      
 Heterosexual 55.0 (50.6–59.5) Reference Reference Reference Reference 
 Gay or lesbian 45.1 (30.0–60.1) 0.7 (0.4–1.3) .2138 0.9 (0.5–1.5) .5681 
 Bisexual 45.3 (34.9–55.8) 0.7 (0.4–1.1) .0936 0.7 (0.4–1.2) .1691 
 Unsure 49.0 (33.2–64.9) 0.8 (0.4–1.5) .4657 0.9 (0.5–1.9) .8667 
Frequency of e-cigarette use      
 Occasional (≤5 d) 56.4 (52.7–60.2) Reference Reference Reference Reference 
 Moderate (6–19 d) 54.1 (47.5–60.7) 0.9 (0.7–1.2) .5527 1.0 (0.7–1.5) .7932 
 Frequent (≥20 d) 49.6 (43.4–55.8) 0.8 (0.6–1.0) .0545 1.1 (0.8–1.5) .6594 
Vaping duration, y      
 <1 56.0 (48.5–63.5) Reference Reference Reference Reference 
 1 54.9 (48.2–61.6) 1.0 (0.6–1.4) .8302 1.0 (0.6–1.5) .9909 
 2–3 54.5 (47.6–61.4) 0.9 (0.7–1.3) .7398 1.1 (0.7–1.6) .8002 
 >3 42.6 (34.2–51.1) 0.6 (0.4-0.9)d .0253d 0.8 (0.5-1.3) .4665 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 61.0 (54.8-67.2) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 52.4 (47.8–57.1) 0.7 (0.5–0.9)d .0095d 0.8 (0.6–1.1) .1002 
 An e-cigarette with a tank that you refill with liquids 51.5 (44.6–58.4) 0.7 (0.5–1.0)d .0436d 0.8 (0.5–1.2)d .2322 
 A modifiable system 33.1 (18.5–47.7) 0.3 (0.2–0.6)d .0020d 0.4 (0.2–0.9)d .0204d 
 I don’t know the type 53.8 (42.2–65.4) 0.7 (0.4–1.3) .2587 0.7 (0.4–1.2) .1752 
Multiple tobacco product use      
 Sole e-cigarette 57.9 (54.0-61.8) Reference Reference Reference Reference 
 Dual or poly use 46.6 (40.7–52.4) 0.6 (0.5–0.8)d .0006d 0.7 (0.6–0.9)d .0144d 
Flavor use in e-cigarette      
 No 54.2 (46.1–62.2) Reference Reference Reference Reference 
 Yes 53.2 (49.0–57.4) 1.0 (0.7–1.4) .8417 1.0 (0.7–1.5) .9298 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 41.9 (36.3–47.5) Reference  Reference  
 Some harm or a lot of harm 62.5 (58.5–66.5) 2.3 (1.8–2.9)d <.0001d 2.2 (1.7–2.8)d <.0001d 
Nicotine craving within 30 min of waking      
 No 54.6 (50.9–58.2) Reference Reference Reference Reference 
 Yes 49.2 (41.1–57.3) 0.8 (0.6–1.1) .1901 1.0 (0.7–1.4) .9608 
Exposure to e-cigarette marketing      
 No 53.1 (46.3–59.9) Reference Reference Reference Reference 
 1 52.0 (45.4–58.6) 1.0 (0.7–1.4) .8113 0.9 (0.6–1.3) .4960 
 2+ 53.9 (48.7–59.1) 1.0 (0.7–1.4) .8578 1.0 (0.7–1.4) .9537 
Reasons for e-cigarette se: a friend used them      
 No 49.9 (45.8–54.1) Reference  Reference  
 Yes 59.6 (54.5–64.7) 1.5 (1.2–1.9)d .0009d 1.5 (1.2–1.9)d .0003d 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 54.1 (50.4–57.8) Reference Reference Reference Reference 
 Yes 43.3 (32.3–54.4) 0.6 (0.4–1.0) .0573 0.9 (0.5–1.6) .8101 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 57.0 (53.3–60.6) Reference Reference Reference Reference 
 Yes 36.6 (28.3-44.8) 0.4 (0.3–0.6)d <.0001d 0.4 (0.3–0.6)d <.0001d 
Reasons for e-cigarette use: I was curious about them      
 No 51.0 (46.1–56.0) Reference Reference Reference Reference 
 Yes 56.6 (51.8–61.5) 1.3 (1.0–1.6) .0882 1.2 (0.9–1.6) .1197 
Tobacco use by household members      
 None 55.2 (50.4–60.0) Reference Reference Reference Reference 
 Other tobacco products 56.9 (51.2–62.6) 1.1 (0.8–1.4) .6381 1.1 (0.8–1.5) .4376 
  e-cigarettes 45.9 (39.8–52.0) 0.7 (0.5–0.9)d .0050d 0.8 (0.6–1.0) .0508 
Language other than English at home      
 No 52.9 (48.4–57.3) Reference Reference Reference Reference 
 Yes 53.3 (46.7–59.9) 1.0 (0.8–1.4) .8915 1.1 (0.8–1.5) .4217 
Cognitive impairment      
 No 51.4 (46.0–56.7) Reference Reference Reference Reference 
 Yes 55.8 (50.6–60.9) 1.2 (0.9–1.6) .2100 1.4 (1–1.9)d .0465d 
Seen or heard “The Real Cost”      
 No or not sure 46.1 (38.2–53.9) Reference Reference Reference Reference 
 Yes 55.7 (51.6–59.9) 1.5 (1.1–2.1)d .0237d 1.5 (1.0–2.1)d .0375d 
CharacteristicsPrevalence of Intention to Quit Vapinga (n = 1635)
Weighted % (95% CI)ORbPaORcP
Overall 53.4 (49.7–57.1) N/A N/A N/A N/A 
Sex      
 Male 56.1 (51.2–61.0) Reference Reference Reference Reference 
 Female 50.6 (46.3–54.9) 0.8 (0.6–1.0) .0520 0.7 (0.5-0.8)d .0004d 
Grade      
 Middle school 50.5 (43.1–57.8) Reference Reference Reference Reference 
 High school 53.9 (49.7–58.2) 1.1 (0.8–1.6) .4234 0.9 (0.6–1.3) .7029 
Race and ethnicity      
 Non-Hispanic white 54.0 (49.8–58.3) Reference Reference Reference Reference 
 Non-Hispanic Black 57.8 (42.5–73.2) 1.2 (0.6–2.2) .6284 1.2 (0.6–2.6) .5902 
 Hispanic 51.3 (44.5–58.1) 0.9 (0.7–1.2) .4690 0.9 (0.6–1.3) .6808 
 Other 53.5 (38.9–68.1) 1.0 (0.5–1.9) .9486 1.1 (0.6–1.8) .8267 
Sexual minority      
 Heterosexual 55.0 (50.6–59.5) Reference Reference Reference Reference 
 Gay or lesbian 45.1 (30.0–60.1) 0.7 (0.4–1.3) .2138 0.9 (0.5–1.5) .5681 
 Bisexual 45.3 (34.9–55.8) 0.7 (0.4–1.1) .0936 0.7 (0.4–1.2) .1691 
 Unsure 49.0 (33.2–64.9) 0.8 (0.4–1.5) .4657 0.9 (0.5–1.9) .8667 
Frequency of e-cigarette use      
 Occasional (≤5 d) 56.4 (52.7–60.2) Reference Reference Reference Reference 
 Moderate (6–19 d) 54.1 (47.5–60.7) 0.9 (0.7–1.2) .5527 1.0 (0.7–1.5) .7932 
 Frequent (≥20 d) 49.6 (43.4–55.8) 0.8 (0.6–1.0) .0545 1.1 (0.8–1.5) .6594 
Vaping duration, y      
 <1 56.0 (48.5–63.5) Reference Reference Reference Reference 
 1 54.9 (48.2–61.6) 1.0 (0.6–1.4) .8302 1.0 (0.6–1.5) .9909 
 2–3 54.5 (47.6–61.4) 0.9 (0.7–1.3) .7398 1.1 (0.7–1.6) .8002 
 >3 42.6 (34.2–51.1) 0.6 (0.4-0.9)d .0253d 0.8 (0.5-1.3) .4665 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 61.0 (54.8-67.2) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 52.4 (47.8–57.1) 0.7 (0.5–0.9)d .0095d 0.8 (0.6–1.1) .1002 
 An e-cigarette with a tank that you refill with liquids 51.5 (44.6–58.4) 0.7 (0.5–1.0)d .0436d 0.8 (0.5–1.2)d .2322 
 A modifiable system 33.1 (18.5–47.7) 0.3 (0.2–0.6)d .0020d 0.4 (0.2–0.9)d .0204d 
 I don’t know the type 53.8 (42.2–65.4) 0.7 (0.4–1.3) .2587 0.7 (0.4–1.2) .1752 
Multiple tobacco product use      
 Sole e-cigarette 57.9 (54.0-61.8) Reference Reference Reference Reference 
 Dual or poly use 46.6 (40.7–52.4) 0.6 (0.5–0.8)d .0006d 0.7 (0.6–0.9)d .0144d 
Flavor use in e-cigarette      
 No 54.2 (46.1–62.2) Reference Reference Reference Reference 
 Yes 53.2 (49.0–57.4) 1.0 (0.7–1.4) .8417 1.0 (0.7–1.5) .9298 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 41.9 (36.3–47.5) Reference  Reference  
 Some harm or a lot of harm 62.5 (58.5–66.5) 2.3 (1.8–2.9)d <.0001d 2.2 (1.7–2.8)d <.0001d 
Nicotine craving within 30 min of waking      
 No 54.6 (50.9–58.2) Reference Reference Reference Reference 
 Yes 49.2 (41.1–57.3) 0.8 (0.6–1.1) .1901 1.0 (0.7–1.4) .9608 
Exposure to e-cigarette marketing      
 No 53.1 (46.3–59.9) Reference Reference Reference Reference 
 1 52.0 (45.4–58.6) 1.0 (0.7–1.4) .8113 0.9 (0.6–1.3) .4960 
 2+ 53.9 (48.7–59.1) 1.0 (0.7–1.4) .8578 1.0 (0.7–1.4) .9537 
Reasons for e-cigarette se: a friend used them      
 No 49.9 (45.8–54.1) Reference  Reference  
 Yes 59.6 (54.5–64.7) 1.5 (1.2–1.9)d .0009d 1.5 (1.2–1.9)d .0003d 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 54.1 (50.4–57.8) Reference Reference Reference Reference 
 Yes 43.3 (32.3–54.4) 0.6 (0.4–1.0) .0573 0.9 (0.5–1.6) .8101 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 57.0 (53.3–60.6) Reference Reference Reference Reference 
 Yes 36.6 (28.3-44.8) 0.4 (0.3–0.6)d <.0001d 0.4 (0.3–0.6)d <.0001d 
Reasons for e-cigarette use: I was curious about them      
 No 51.0 (46.1–56.0) Reference Reference Reference Reference 
 Yes 56.6 (51.8–61.5) 1.3 (1.0–1.6) .0882 1.2 (0.9–1.6) .1197 
Tobacco use by household members      
 None 55.2 (50.4–60.0) Reference Reference Reference Reference 
 Other tobacco products 56.9 (51.2–62.6) 1.1 (0.8–1.4) .6381 1.1 (0.8–1.5) .4376 
  e-cigarettes 45.9 (39.8–52.0) 0.7 (0.5–0.9)d .0050d 0.8 (0.6–1.0) .0508 
Language other than English at home      
 No 52.9 (48.4–57.3) Reference Reference Reference Reference 
 Yes 53.3 (46.7–59.9) 1.0 (0.8–1.4) .8915 1.1 (0.8–1.5) .4217 
Cognitive impairment      
 No 51.4 (46.0–56.7) Reference Reference Reference Reference 
 Yes 55.8 (50.6–60.9) 1.2 (0.9–1.6) .2100 1.4 (1–1.9)d .0465d 
Seen or heard “The Real Cost”      
 No or not sure 46.1 (38.2–53.9) Reference Reference Reference Reference 
 Yes 55.7 (51.6–59.9) 1.5 (1.1–2.1)d .0237d 1.5 (1.0–2.1)d .0375d 

N/A, not applicable; OR odds ratio.

a

Intention to quit vaping in the next 12 mo was a binary variable (yes versus no), measured by the question, “Are you seriously thinking about quitting e-cigarettes?” Those who responded “Yes, during the next 30 days,” “Yes, during the next 6 months,” and “Yes, during the next 12 months” were classified with intention to quit vaping in the next 12 mo. Weighted n (intention to quit = yes) is 1 756 000.

b

Univariate analyses were conducted by using a survey logistic regression model with “intention to quit vaping” as the outcome variable and each variable in the table as a regressor.

c

Multivariable analysis was conducted by using the survey logistic regression model with “intention to quit vaping” as the outcome variable and all covariates listed in the column as simultaneous regressors. Missing covariate data were infrequent (n range: 0–187) and managed with multiple imputation by using 20 multiply imputed data sets.

d

This association is significant.

As shown in Table 3, 67.4% of current e-cigarette users reported ≥1 past-year vaping quit attempt. Concurrent users of e-cigarettes and other tobacco products had a lower prevalence of past-year quit attempts than sole e-cigarette users (63.3% vs 70.2%, aOR = 0.7 [0.5–0.9], P = .0144). Perceiving e-cigarette use to be harmful was associated with an increased likelihood of vaping quit attempts (aOR = 1.6 [1.2–2.1], P = .0037). Individuals who used e-cigarettes to disguise vaping at home or school were less likely to report past-year quit attempts (aOR = 0.7 [0.5–0.9], P = .0126) whereas individuals who used e-cigarettes because of curiosity had higher odds of reporting past-year quit attempts (aOR = 1.4 [1.0–1.9], P = .0306). Current e-cigarette users who reported speaking a language other than English at home (versus not doing so) also had a higher prevalence of past-year quit attempts (aOR = 1.6 [1.7–2.5], P = .0068).

TABLE 3

Prevalence and Factors Associated with Past-Year Vaping Quit Attempts Among Current e-Cigarette Users, 2020 NYTS (n = 1626)

CharacteristicsPrevalence of Past-Year Vaping Quit Attemptsa (n = 1626)
Weighted % (95% CI)ORbPaORcP
Overall 67.4 (64.0–70.8) N/A N/A N/A N/A 
Sex      
 Male 67.4 (62.8–72.0) Reference Reference Reference Reference 
 Female 67.5 (62.9–72.0) 1.0 (0.8–1.3) .9889 0.9 (0.6–1.2) .4125 
Grade      
 Middle school 70.3 (64.4–76.3) Reference Reference Reference Reference 
 High school 66.9 (63.3–70.5) 0.9 (0.6–1.1) .2716 0.9 (0.6–1.2) .4222 
Race and ethnicity      
 Non-Hispanic whitec 65.0 (60.4–69.5) Reference Reference Reference Reference 
 Non-Hispanic Black 75.5 (63.3–87.7) 1.7 (0.9–3.1) .1113 1.8 (0.9–3.6) .0818 
 Hispanic 69.4 (64.3–74.5) 1.2 (0.9–1.7) .1997 1.1 (0.7–1.7) .7409 
 Other 81.3 (69.4–93.2) 2.3 (1.0–5.5) .0508 2.3 (0.9–6.0) .0766 
Sexual minority      
 Heterosexual 67.4 (63.8–71.0) Reference Reference Reference Reference 
 Gay or lesbian 65.0 (52.7–77.2) 0.9 (0.5–1.5) .6666 1.0 (0.6–1.6) .8939 
 Bisexual 67.3 (58.4–76.3) 1.0 (0.7–1.5) .9839 0.9 (0.6–1.5) .7744 
 Unsure 65.4 (53.8–76.9) 0.9 (0.6–1.5) .7113 1.0 (0.6–1.7) .9402 
Frequency of e-cigarette use      
 Occasional (≤5 d) 68.6 (63.9–73.3) Reference Reference Reference Reference 
 Moderate (6–19 d) 64.9 (58.1–71.8) 0.8 (0.6–1.2) .3594 1.0 (0.7–1.4) .8353 
 Frequent (≥20 d) 67.4 (62.1–72.6) 0.9 (0.7–1.3) .7192 1.2 (0.9–1.7) .2851 
Vaping duration, y      
 <1 69.0 (63.1–74.8) Reference Reference Reference Reference 
 1 66.1 (60.3–71.8) 0.9 (0.6–1.3) .5054 1.0 (0.7–1.4) .8886 
 2–3 70.0 (64.8–75.2) 1.1 (0.7–1.5) .7876 1.3 (0.9–1.9) .1341 
 >3 61.3 (53.0–69.6) 0.7 (0.5–1.1) .1116 1.0 (0.6–1.5) .9260 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 68.3 (61.2–75.3) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 66.5 (62.2–70.8) 0.9 (0.7–1.3) .6448 1.0 (0.7–1.5) .9811 
 An e-cigarette with a tank that you refill with liquids 67.3 (60.5–74.2) 1.0 (0.6–1.4) .8364 1.1 (0.7–1.7) .8113 
 A modifiable system 50.5 (29.5–71.4) 0.5 (0.2–1.2) .1033 0.6 (0.2–1.6) .2786 
 I don’t know the type 82.4 (74.0–90.8) 2.2 (1.1–4.4)d .0299d 2.4 (1.2–4.7)d .0145d 
Multiple tobacco product use      
 Sole e-cigarette 70.2 (66.2–74.1) Reference Reference Reference Reference 
 Dual or poly use 63.3 (57.3–69.3) 0.7 (0.5–1.0) .0507 0.7 (0.5–0.9)d .0144d 
Flavor use in e-cigarette      
 No 67.9 (60.9–74.9) Reference Reference Reference Reference 
 Yes 67.3 (63.2–71.5) 1.0 (0.6–1.5) .9046 1.1 (0.7–1.7) .7153 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 60.9 (55.2–66.7) Reference Reference Reference Reference 
 Some harm or a lot of harm 71.7 (67.8–75.5) 1.6 (1.2–2.1)d .0010d 1.6 (1.2–2.1)d .0037d 
Nicotine craving within 30 min of waking      
 No 66.9 (63.6–70.3) Reference Reference Reference Reference 
 Yes 68.7 (62.1-75.3) 1.1 (0.8–1.4) .5484 1.2 (0.9–1.6) .2560 
Exposure to e-cigarette marketing      
 No 64.4 (58.3–70.4) Reference Reference Reference Reference 
 1 63.1 (57.3–68.9) 0.9 (0.6–1.4) .7787 0.9 (0.6–1.4) .6941 
 2+ 70.4 (65.7–75.2) 1.3 (1.0–1.7)d .0455d 1.3 (1.0–1.7) .1079 
Reasons for e-cigarette use: a friend used them      
 No 66.2 (62.1–70.3) Reference Reference Reference Reference 
 Yes 69.6 (64.0–75.2) 1.2 (0.9–1.6) .3131 1.2 (0.9–1.6) .3108 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 67.7 (64.4–70.9) Reference Reference Reference Reference 
 Yes 64.2 (51.0–77.4) 0.9 (0.5–1.5) .5752 1.1 (0.6–2) .7409 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 68.9 (65.3–72.6) Reference Reference Reference Reference 
 Yes 60.5 (53.5–67.4) 0.7 (0.5–0.9)d .0184d 0.7 (0.5–0.9)d .0126d 
Reasons for e-cigarette use: I was curious about them      
 No 64.5 (59.6–69.3) Reference Reference Reference Reference 
 Yes 71.4 (67.0–75.9) 1.4 (1.0–1.9)d .0356d 1.4 (1.0–1.9)d .0306d 
Tobacco use by household members      
 None 65.2 (60.2–70.3) Reference Reference Reference Reference 
 Other tobacco products 68.5 (63.6–73.4) 1.2 (0.9–1.6) .3240 1.2 (0.9–1.6) .2392 
  e-cigarettes 67.6 (60.8–74.4) 1.1 (0.8–1.6) .5361 1.2 (0.9–1.7) .2999 
Language other than English at home      
 No 63.8 (59.8–67.7) Reference Reference Reference Reference 
 Yes 74.2 (69.5–79.0) 1.6 (1.3–2.1)d <.0001d 1.7 (1.2–2.5)d .0068d 
Cognitive impairment      
 No 64.9 (60.3–69.5) Reference Reference Reference Reference 
 Yes 71.1 (66.7–75.4) 1.3 (1.0–1.7)d .0370d 1.3 (1.0–1.7) .0533 
Seen or heard “The Real Cost”      
 No or not sure 64.2 (57.5–70.9) Reference Reference Reference Reference 
 Yes 67.9 (64.0–71.7) 1.2 (0.9–1.6) .3015 1.2 (0.9–1.7) .1806 
CharacteristicsPrevalence of Past-Year Vaping Quit Attemptsa (n = 1626)
Weighted % (95% CI)ORbPaORcP
Overall 67.4 (64.0–70.8) N/A N/A N/A N/A 
Sex      
 Male 67.4 (62.8–72.0) Reference Reference Reference Reference 
 Female 67.5 (62.9–72.0) 1.0 (0.8–1.3) .9889 0.9 (0.6–1.2) .4125 
Grade      
 Middle school 70.3 (64.4–76.3) Reference Reference Reference Reference 
 High school 66.9 (63.3–70.5) 0.9 (0.6–1.1) .2716 0.9 (0.6–1.2) .4222 
Race and ethnicity      
 Non-Hispanic whitec 65.0 (60.4–69.5) Reference Reference Reference Reference 
 Non-Hispanic Black 75.5 (63.3–87.7) 1.7 (0.9–3.1) .1113 1.8 (0.9–3.6) .0818 
 Hispanic 69.4 (64.3–74.5) 1.2 (0.9–1.7) .1997 1.1 (0.7–1.7) .7409 
 Other 81.3 (69.4–93.2) 2.3 (1.0–5.5) .0508 2.3 (0.9–6.0) .0766 
Sexual minority      
 Heterosexual 67.4 (63.8–71.0) Reference Reference Reference Reference 
 Gay or lesbian 65.0 (52.7–77.2) 0.9 (0.5–1.5) .6666 1.0 (0.6–1.6) .8939 
 Bisexual 67.3 (58.4–76.3) 1.0 (0.7–1.5) .9839 0.9 (0.6–1.5) .7744 
 Unsure 65.4 (53.8–76.9) 0.9 (0.6–1.5) .7113 1.0 (0.6–1.7) .9402 
Frequency of e-cigarette use      
 Occasional (≤5 d) 68.6 (63.9–73.3) Reference Reference Reference Reference 
 Moderate (6–19 d) 64.9 (58.1–71.8) 0.8 (0.6–1.2) .3594 1.0 (0.7–1.4) .8353 
 Frequent (≥20 d) 67.4 (62.1–72.6) 0.9 (0.7–1.3) .7192 1.2 (0.9–1.7) .2851 
Vaping duration, y      
 <1 69.0 (63.1–74.8) Reference Reference Reference Reference 
 1 66.1 (60.3–71.8) 0.9 (0.6–1.3) .5054 1.0 (0.7–1.4) .8886 
 2–3 70.0 (64.8–75.2) 1.1 (0.7–1.5) .7876 1.3 (0.9–1.9) .1341 
 >3 61.3 (53.0–69.6) 0.7 (0.5–1.1) .1116 1.0 (0.6–1.5) .9260 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 68.3 (61.2–75.3) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 66.5 (62.2–70.8) 0.9 (0.7–1.3) .6448 1.0 (0.7–1.5) .9811 
 An e-cigarette with a tank that you refill with liquids 67.3 (60.5–74.2) 1.0 (0.6–1.4) .8364 1.1 (0.7–1.7) .8113 
 A modifiable system 50.5 (29.5–71.4) 0.5 (0.2–1.2) .1033 0.6 (0.2–1.6) .2786 
 I don’t know the type 82.4 (74.0–90.8) 2.2 (1.1–4.4)d .0299d 2.4 (1.2–4.7)d .0145d 
Multiple tobacco product use      
 Sole e-cigarette 70.2 (66.2–74.1) Reference Reference Reference Reference 
 Dual or poly use 63.3 (57.3–69.3) 0.7 (0.5–1.0) .0507 0.7 (0.5–0.9)d .0144d 
Flavor use in e-cigarette      
 No 67.9 (60.9–74.9) Reference Reference Reference Reference 
 Yes 67.3 (63.2–71.5) 1.0 (0.6–1.5) .9046 1.1 (0.7–1.7) .7153 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 60.9 (55.2–66.7) Reference Reference Reference Reference 
 Some harm or a lot of harm 71.7 (67.8–75.5) 1.6 (1.2–2.1)d .0010d 1.6 (1.2–2.1)d .0037d 
Nicotine craving within 30 min of waking      
 No 66.9 (63.6–70.3) Reference Reference Reference Reference 
 Yes 68.7 (62.1-75.3) 1.1 (0.8–1.4) .5484 1.2 (0.9–1.6) .2560 
Exposure to e-cigarette marketing      
 No 64.4 (58.3–70.4) Reference Reference Reference Reference 
 1 63.1 (57.3–68.9) 0.9 (0.6–1.4) .7787 0.9 (0.6–1.4) .6941 
 2+ 70.4 (65.7–75.2) 1.3 (1.0–1.7)d .0455d 1.3 (1.0–1.7) .1079 
Reasons for e-cigarette use: a friend used them      
 No 66.2 (62.1–70.3) Reference Reference Reference Reference 
 Yes 69.6 (64.0–75.2) 1.2 (0.9–1.6) .3131 1.2 (0.9–1.6) .3108 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 67.7 (64.4–70.9) Reference Reference Reference Reference 
 Yes 64.2 (51.0–77.4) 0.9 (0.5–1.5) .5752 1.1 (0.6–2) .7409 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 68.9 (65.3–72.6) Reference Reference Reference Reference 
 Yes 60.5 (53.5–67.4) 0.7 (0.5–0.9)d .0184d 0.7 (0.5–0.9)d .0126d 
Reasons for e-cigarette use: I was curious about them      
 No 64.5 (59.6–69.3) Reference Reference Reference Reference 
 Yes 71.4 (67.0–75.9) 1.4 (1.0–1.9)d .0356d 1.4 (1.0–1.9)d .0306d 
Tobacco use by household members      
 None 65.2 (60.2–70.3) Reference Reference Reference Reference 
 Other tobacco products 68.5 (63.6–73.4) 1.2 (0.9–1.6) .3240 1.2 (0.9–1.6) .2392 
  e-cigarettes 67.6 (60.8–74.4) 1.1 (0.8–1.6) .5361 1.2 (0.9–1.7) .2999 
Language other than English at home      
 No 63.8 (59.8–67.7) Reference Reference Reference Reference 
 Yes 74.2 (69.5–79.0) 1.6 (1.3–2.1)d <.0001d 1.7 (1.2–2.5)d .0068d 
Cognitive impairment      
 No 64.9 (60.3–69.5) Reference Reference Reference Reference 
 Yes 71.1 (66.7–75.4) 1.3 (1.0–1.7)d .0370d 1.3 (1.0–1.7) .0533 
Seen or heard “The Real Cost”      
 No or not sure 64.2 (57.5–70.9) Reference Reference Reference Reference 
 Yes 67.9 (64.0–71.7) 1.2 (0.9–1.6) .3015 1.2 (0.9–1.7) .1806 

N/A, not applicable; OR, odds ratio.

a

Vaping quit attempt in the past 12 mo was a binary variable (yes versus no), measured by responding ≥1 time to the question, “During the past 12 months, how many times have you stopped using e-cigarettes for one day or longer because you were trying to quit using e-cigarettes for good?” with response options, “I did not try to quit during the past 12 months,” “1 time,” “2 times,” “3 to 5 times,” “6 to 9 times,” and “10 or more times.” Weighted N (past-year quit attempt = yes) is 2 215 000.

b

Univariate analyses were conducted by using survey logistic regression model with “vaping quit attempt” as the outcome variable and each variable in the table as the independent variable.

c

Multivariable analysis was conducted by using the survey logistic regression model with “vaping quit attempt” as the outcome variable and all covariates listed in the table as simultaneous regressors. Missing covariate data were infrequent (n range: 0–187) and managed with multiple imputation using 20 multiply imputed data sets.

d

This association is significant.

Table 4 is limited to current e-cigarette users who reported ≥1 past-year vaping quit attempt (n = 1117). On average, the subjects reported 5.3 vaping quit attempts in the past 12 months. The number of vaping quit attempts was lower among female individuals than among male individuals (5.0 vs 5.6, adjusted b [SE] = −0.6 [0.3], P = .0149). Subjects who reported using an e-cigarette with prefilled pods or cartridges (eg, JUUL) had a lower number of vaping quit attempts than those reporting the use of a disposable e-cigarette (adjusted b (SE) = −0.8 (0.3), P = .0111). The number of vaping quit attempts was lower among frequent e-cigarette users (versus occasional, b (SE)= −0.8 (0.3), P = .0286) and those who reported nicotine craving within 30 minutes of waking up (versus those who did not) (adjusted b (SE) = −0.8 (0.3), P = .0146).

TABLE 4

Factors Associated With Frequency of Vaping Quit Attempts Among Current e-Cigarette Users Who Reported ≥1 Vaping Quit Attempt in the Past 12 mo, 2020 NYTS (n = 1117)

CharacteristicsFrequency of Quit Attempts Among Those Who had ≥1 Quit Attempta
Mean (SE)Unadjusted b (SE)bPAdjusted b (SE)cP
Overall 5.3 (0.1)     
Sex      
 Male 5.6 (0.2) Reference Reference Reference Reference 
 Female 5.0 (0.2) −0.6 (0.3)d .0291d −0.6 (0.3)d .0149d 
Grade      
 Middle school 5.9 (0.4) Reference Reference Reference Reference 
 High school 5.2 (0.1) −0.6 (0.4) .0919 −0.2 (0.4) .6518 
Race and ethnicity      
 Non-Hispanic white 5.1 (0.2) Reference Reference Reference Reference 
 Non-Hispanic Black 5.8 (0.6) 0.7 (0.6) .2456 0.1 (0.6) .8101 
 Hispanic 5.6 (0.2) 0.5 (0.4) .2106 0 (0.4) .9214 
 Others 6.2 (0.6) 1.1 (0.6) .0868 0.8 (0.5) .1498 
Sexual minority      
 Heterosexual 5.4 (0.1) Reference Reference Reference Reference 
 Gay or lesbian 4.5 (0.6) −0.9 (0.6) .1084 −0.6 (0.5) .3012 
 Bisexual 5.1 (0.5) −0.3 (0.5) .5558 0 (0.5) .9610 
 Unsure 5.3 (0.7) −0.1 (0.7) .8656 −0.1 (0.7) .8466 
Frequency of e-cigarette use      
 Occasional (≤5 d) 5.9 (0.2) Reference Reference Reference Reference 
 Moderate (6–19 d) 5.7 (0.3) −0.1 (0.4) .6978 0.1 (0.4) .8694 
 Frequent (≥20 d) 4.6 (0.2) −1.3 (0.2)d <.0001 −0.8 (0.3)d .0286 
Vaping duration, y      
 <1 6.4 (0.4) Reference Reference Reference Reference 
 1 5.5 (0.2) −0.9 (0.4)d .0212 −0.5 (0.4) .2071 
 2-3 4.9 (0.2) −1.5 (0.4)d .0004 −1.0 (0.4)d .0184d 
 >3 5.1 (0.3) −1.4 (0.5)d .0089 −0.7 (0.6) .2326 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 5.6 (0.3) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 4.9 (0.2) −0.7 (0.3)d .0197 −0.8 (0.3)d .0111d 
 An e-cigarette with a tank that you refill with liquids 5.5 (0.3) −0.1 (0.4) .7318 −0.1 (0.4) .7629 
 A modifiable system 5.3 (0.6) −0.3 (0.7) .6156 −0.4 (0.7) .5181 
 I don’t know the type 6.5 (0.6) 0.9 (0.7) .2066 0.4 (0.7) .5937 
Multiple tobacco product use      
 Sole e-cigarette 5.3 (0.2) Reference Reference Reference Reference 
 Dual or poly use 5.3 (0.2) 0 (0.3) .9300 0 (0.2) .8526 
Flavor use in e-cigarette      
 No 5.5 (0.4) Reference Reference Reference Reference 
 Yes 5.3 (0.2) −0.2 (0.4) .6454 0.3 (0.4) .4626 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 5.1 (0.2) Reference Reference Reference Reference 
 Some harm or a lot of harm 5.5 (0.2) 0.4 (0.2) .1386 0.3 (0.3) .2016 
Nicotine craving within 30 min of waking      
 No 5.6 (0.2) Reference  Reference  
 Yes 4.2 (0.2) −1.4 (0.3)d <.0001 −0.8 (0.3)d .0146d 
Exposure to e-cigarette marketing      
 No 5.3 (0.3) Reference  Reference  
 1 5.2 (0.3) −0.1 (0.4) .6808 0 (0.4) .9188 
 2+ 5.4 (0.2) 0.1 (0.4) .8894 0.2 (0.3) .6523 
Reasons for e-cigarette use: a friend used them      
 No 5.4 (0.2) Reference Reference Reference Reference 
 Yes 5.3 (0.2) −0.1 (0.3) .8586 0.1 (0.3) .8377 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 5.3 (0.1) Reference Reference Reference Reference 
 Yes 5.1 (0.4) −0.2 (0.4) .6008 0.3 (0.5) .4837 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 5.4 (0.1) Reference Reference Reference Reference 
 Yes 4.7 (0.4) −0.7 (0.4) .0602 −0.1 (0.4) .6853 
Reasons for e-cigarette use: I was curious about them      
 No 5.3 (0.2) Reference Reference Reference Reference 
 Yes 5.4 (0.2) 0.2 (0.2) .4123 −0.1 (0.2) .8031 
Tobacco use by household members      
 None 5.4 (0.2) Reference Reference Reference Reference 
 Other tobacco products 5.7 (0.2) 0.3 (0.3) .3358 0.4 (0.3) .2188 
 e-cigarettes 5.1 (0.3) −0.3 (0.3) .3850 0 (0.3) .9035 
Language other than English at home      
 No 5.2 (0.2) Reference Reference Reference Reference 
 Yes 5.7 (0.2) 0.5 (0.4) .1390 0.3 (0.4) .4491 
Cognitive impairment      
 No 5.5 (0.2) Reference Reference Reference Reference 
 Yes 5.2 (0.2) −0.2 (0.2) .3230 −0.3 (0.3) .3325 
Seen or heard “The Real Cost”      
 No or not sure 5.2 (0.3) Reference Reference Reference Reference 
 Yes 5.4 (0.2) 0.2 (0.4) .6174 0.2 (0.4) .4904 
CharacteristicsFrequency of Quit Attempts Among Those Who had ≥1 Quit Attempta
Mean (SE)Unadjusted b (SE)bPAdjusted b (SE)cP
Overall 5.3 (0.1)     
Sex      
 Male 5.6 (0.2) Reference Reference Reference Reference 
 Female 5.0 (0.2) −0.6 (0.3)d .0291d −0.6 (0.3)d .0149d 
Grade      
 Middle school 5.9 (0.4) Reference Reference Reference Reference 
 High school 5.2 (0.1) −0.6 (0.4) .0919 −0.2 (0.4) .6518 
Race and ethnicity      
 Non-Hispanic white 5.1 (0.2) Reference Reference Reference Reference 
 Non-Hispanic Black 5.8 (0.6) 0.7 (0.6) .2456 0.1 (0.6) .8101 
 Hispanic 5.6 (0.2) 0.5 (0.4) .2106 0 (0.4) .9214 
 Others 6.2 (0.6) 1.1 (0.6) .0868 0.8 (0.5) .1498 
Sexual minority      
 Heterosexual 5.4 (0.1) Reference Reference Reference Reference 
 Gay or lesbian 4.5 (0.6) −0.9 (0.6) .1084 −0.6 (0.5) .3012 
 Bisexual 5.1 (0.5) −0.3 (0.5) .5558 0 (0.5) .9610 
 Unsure 5.3 (0.7) −0.1 (0.7) .8656 −0.1 (0.7) .8466 
Frequency of e-cigarette use      
 Occasional (≤5 d) 5.9 (0.2) Reference Reference Reference Reference 
 Moderate (6–19 d) 5.7 (0.3) −0.1 (0.4) .6978 0.1 (0.4) .8694 
 Frequent (≥20 d) 4.6 (0.2) −1.3 (0.2)d <.0001 −0.8 (0.3)d .0286 
Vaping duration, y      
 <1 6.4 (0.4) Reference Reference Reference Reference 
 1 5.5 (0.2) −0.9 (0.4)d .0212 −0.5 (0.4) .2071 
 2-3 4.9 (0.2) −1.5 (0.4)d .0004 −1.0 (0.4)d .0184d 
 >3 5.1 (0.3) −1.4 (0.5)d .0089 −0.7 (0.6) .2326 
Type of e-cigarette used in the past 30 d      
 A disposable e-cigarette 5.6 (0.3) Reference Reference Reference Reference 
 An e-cigarette that uses prefilled pods or cartridges 4.9 (0.2) −0.7 (0.3)d .0197 −0.8 (0.3)d .0111d 
 An e-cigarette with a tank that you refill with liquids 5.5 (0.3) −0.1 (0.4) .7318 −0.1 (0.4) .7629 
 A modifiable system 5.3 (0.6) −0.3 (0.7) .6156 −0.4 (0.7) .5181 
 I don’t know the type 6.5 (0.6) 0.9 (0.7) .2066 0.4 (0.7) .5937 
Multiple tobacco product use      
 Sole e-cigarette 5.3 (0.2) Reference Reference Reference Reference 
 Dual or poly use 5.3 (0.2) 0 (0.3) .9300 0 (0.2) .8526 
Flavor use in e-cigarette      
 No 5.5 (0.4) Reference Reference Reference Reference 
 Yes 5.3 (0.2) −0.2 (0.4) .6454 0.3 (0.4) .4626 
Perceived harmfulness of e-cigarette use      
 No harm or little harm 5.1 (0.2) Reference Reference Reference Reference 
 Some harm or a lot of harm 5.5 (0.2) 0.4 (0.2) .1386 0.3 (0.3) .2016 
Nicotine craving within 30 min of waking      
 No 5.6 (0.2) Reference  Reference  
 Yes 4.2 (0.2) −1.4 (0.3)d <.0001 −0.8 (0.3)d .0146d 
Exposure to e-cigarette marketing      
 No 5.3 (0.3) Reference  Reference  
 1 5.2 (0.3) −0.1 (0.4) .6808 0 (0.4) .9188 
 2+ 5.4 (0.2) 0.1 (0.4) .8894 0.2 (0.3) .6523 
Reasons for e-cigarette use: a friend used them      
 No 5.4 (0.2) Reference Reference Reference Reference 
 Yes 5.3 (0.2) −0.1 (0.3) .8586 0.1 (0.3) .8377 
Reasons for e-cigarette use: try to quit using other tobacco products, such as cigarettes      
 No 5.3 (0.1) Reference Reference Reference Reference 
 Yes 5.1 (0.4) −0.2 (0.4) .6008 0.3 (0.5) .4837 
Reasons for e-cigarette use: I can use them unnoticed at home or at school      
 No 5.4 (0.1) Reference Reference Reference Reference 
 Yes 4.7 (0.4) −0.7 (0.4) .0602 −0.1 (0.4) .6853 
Reasons for e-cigarette use: I was curious about them      
 No 5.3 (0.2) Reference Reference Reference Reference 
 Yes 5.4 (0.2) 0.2 (0.2) .4123 −0.1 (0.2) .8031 
Tobacco use by household members      
 None 5.4 (0.2) Reference Reference Reference Reference 
 Other tobacco products 5.7 (0.2) 0.3 (0.3) .3358 0.4 (0.3) .2188 
 e-cigarettes 5.1 (0.3) −0.3 (0.3) .3850 0 (0.3) .9035 
Language other than English at home      
 No 5.2 (0.2) Reference Reference Reference Reference 
 Yes 5.7 (0.2) 0.5 (0.4) .1390 0.3 (0.4) .4491 
Cognitive impairment      
 No 5.5 (0.2) Reference Reference Reference Reference 
 Yes 5.2 (0.2) −0.2 (0.2) .3230 −0.3 (0.3) .3325 
Seen or heard “The Real Cost”      
 No or not sure 5.2 (0.3) Reference Reference Reference Reference 
 Yes 5.4 (0.2) 0.2 (0.4) .6174 0.2 (0.4) .4904 
a

Frequency of vaping quit attempts in the past 12 mo was measured by the question, “During the past 12 months, how many times have you stopped using e-cigarettes for one day or longer because you were trying to quit using e-cigarettes for good?” Among those who responded ≥1 vaping quit attempt in the past 12 mo, the frequency of vaping quit attempts was determined by “1 times,” “2 times,” “3 to 5 times,” (recoded = 4) “6 to 9 times,” (recoded = 7.5) and “10 or more times” (recoded=10), with the range of 1 to 10.

b

Univariate analyses were conducted by using a survey regression model with “frequency of vaping quit attempt” as the outcome variable and each variable in the table as the independent variable.

c

Multivariable analysis was conducted by using the survey regression model with “frequency of vaping quit attempt” as the outcome variable and all covariates listed in the table as simultaneous regressors. Missing covariate data were infrequent (n range: 0–187) and managed with multiple imputation using 20 multiply imputed data sets.

d

This association is significant.

This national study estimated that more than half of middle and high school current e-cigarette users (∼1.7 million) reported intention to quit vaping, and approximately two-thirds of them (∼2.2 million) reported past-year vaping quit attempts in the United States. Both prevalences were higher than the numbers reported in an earlier study using the PATH data in 2017.6  Although sampling methodologic differences between the NYTS (school-based) and PATH (home-based) and the differences in survey questions phrasing vaping cessation behaviors may attribute to some of these changes, the rapidly evolving e-cigarette markets and changes in regulations and policies of vaping products may also play a role in changes of vaping cessation behaviors. For instance, there was widespread media coverage to raise awareness of potential risks of vaping23  after the 2019 e-cigarette, or vaping, product use associated lung injury outbreak. A growing body of research studies has identified adverse health effects of vaping among adolescents, with findings widely disseminated through social media and news sites.23,24  Vaping control policies, such as Tobacco 21 laws, and antivaping endeavors may also contribute to the increase of youth vaping cessation behaviors.

The findings from this study may inform the development of future evidence-based vaping cessation interventions. For instance, perceived harm of e-cigarette use is strongly associated with both intention to quit vaping and past-year quit attempts. As shown in the previous qualitative studies, health effect is one of the top reasons for adolescents to quit vaping.25,26  However, it is alarming that ∼44.5% of current e-cigarette users still perceived e-cigarette use as no harm or little harm, which could dampen the motivation for vaping cessation. Because of the lack of knowledge, adolescents could be under misconceptions such as “e-cigarettes deliver just water vapor” and “e-cigarettes are not tobacco products.”27  Thus, vaping cessation programs should emphasize the adverse health outcomes of vaping and deliver the message that e-cigarettes, just like cigarettes, will increase risks of nicotine addiction, respiratory injury, cardiovascular illnesses, and other tobacco-related diseases.

This study is the first of its kind to report that dual and poly use of e-cigarettes with other tobacco products and reasons for vaping are significantly associated with youth vaping cessation behaviors. The dual and poly use of e-cigarettes and other tobacco products was also associated with reduced intention to quit and past-year quit attempts among adolescents. Multiple biospecimen studies in conjunction with national surveys have shown that dual e-cigarette and tobacco users (versus exclusive e-cigarette users) have higher concentrations of known tobacco-related toxicants2830  and increased symptoms of nicotine dependence and addictions.21  This study reveals that students using e-cigarettes because of peer influence or curiosity were more likely to report an intention to quit vaping or past-year quit attempts, whereas those choosing vaping because of the concealed use were less likely to report quit behaviors. These reasons for vaping may reflect e-cigarette use patterns and nicotine addiction. For instance, students who use e-cigarettes because of curiosity or peer pressure are more likely to be exclusive e-cigarette users31  and less likely to be nicotine dependent. Thus, vaping cessation programs need to tailor interventions on the basis of reasons for e-cigarette use and dual and poly use status.

This study also provides early evidence of the association between e-cigarette devices and vaping cessation behaviors among adolescents. First, current e-cigarette users of a modifiable system had a lower prevalence of intention to quit vaping than users of other devices. In February 2020, the FDA issued an enforcement action on cartridge-based e-cigarettes with flavors other than tobacco and menthol.32  However, the modifiable system is exempt from the flavor ban. Vaping products with a modifiable system allow users to customize voltage, temperature,33  and electronic liquids, tending to deliver nicotine to the lungs more efficiently.33  These features may increase the appeal and nicotine uptake from vaping. Alternatively, modifiable users (versus disposable product users) are also more likely to be users of combustible tobacco products.34  Therefore, they may view vaping as a positive health change, leading to a lower intention to quit vaping. Second, JUUL or other pod users reported fewer quit attempts than users of disposable e-cigarettes. JUUL contains nicotine salt with a high nicotine concentration (3% or 5%), which may increase palatability and cause nicotine dependence among youth. A recent biomarker study found a high concentration of cotinine in urine samples among JUUL and other pod users.35  Sleek product design, disguised use, extensive marketing, and flavors might also reduce cessation attempts among adolescent e-cigarette users. Lastly, disposable e-cigarette use increased significantly among US youth from 2019 to 2020 and has become an emerging public health challenge.36  This study found that disposable e-cigarette users reported the highest prevalence of intention to quit vaping. It is possible that new disposable pod-style devices, such as Puff Bar, may attract experimental users of e-cigarettes out of curiosity and peer influence. These users were less likely to use other tobacco products and thus more likely to quit vaping.37  Future studies are needed to assess the causal relationship between e-cigarette devices and youth vaping behaviors.

The FDA has included e-cigarettes in the “The Real Cost” campaign to educate youth about vaping risks.16  This study found that students who had seen or heard about “The Real Cost” campaign had a higher intention to quit vaping. Because many adolescents are interested in quitting vaping or have tried to quit vaping in the past year, researchers face an unprecedented urgency to conduct more empirical investigations of youth vaping cessation behaviors. Nicotine can pose adverse effects to brain development, causing addiction, stress, mood disorders, and loss of attention, memory, and impulse control.4,13  A previous cohort study reported that vaping dependence is associated with youth e-cigarette use escalation.38  This study further identified that frequent e-cigarette use and tobacco craving were correlated with fewer quit attempts. Symptoms of nicotine dependence could make cessation difficult and increase the risk of relapse.39  Thus, development of efficacious interventions to address nicotine dependence, withdrawal symptoms, and coping skills can prevent youth vaping addiction.

This study has some limitations. First, intention to quit vaping and past-year vaping quit attempts are self-reported, and they are subject to recall and social desirability biases.40  However, the test and retest reliability of self-reported behaviors related to tobacco use among adolescents is high.40  Second, the data are cross-sectional and preclude the causal inference. Third, the definition of quit attempts requiring one day or longer may inflate true quit attempts because infrequent e-cigarette users often abstain from vaping for one day or longer. Fourth, because participants were asked about the type of e-cigarette used most often in the 2020 NYTS, the association of quit behaviors and use of multiple e-cigarette devices was not assessed in this study, which merits future research. Finally, although this study included various factors related to vaping cessation in the analyses, some confounders, such as household income, parental education, and socioeconomic status, were not asked in the 2020 NYTS and may affect the outcomes.

Despite these limitations, this study reported that intention to quit and past-year quit attempts are prevalent among US adolescent e-cigarette users. Multifaceted factors, including vaping devices, multiple tobacco use, vaping reasons and harm perceptions of e-cigarette use, and nicotine dependence, are associated with youth vaping cessation behaviors. Development and dissemination of evidence-based vaping cessation programs are needed to curb the youth vaping epidemic.

HD had full access to all the data in the study and takes responsibility for the integrity of the data.

FUNDING: Supported by the University of Nebraska Collaboration Initiative Planning Grant and the University of Nebraska Medical Center College of Public Health Innovation Fund. The funding agency 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 article; or decision to submit the article for publication.

Clinical Trial Registration: This is not a clinical trial.

aOR

adjusted odds ratio

b

regression coefficient

CI

confidence intervale-cigarette, electronic cigarette

FDA

US Food and Drug Administration

NH

Non-Hispanic

NYTS

National Youth Tobacco Survey

PATH

Population Assessment on Tobacco and Health

1
Wang
TW
,
Asman
K
,
Gentzke
AS
, et al
.
Tobacco product use among adults - United States, 2017
.
MMWR Morb Mortal Wkly Rep
.
2018
;
67
(
44
):
1225
1232
2
Johnston
LD
,
O’Malley
PM
,
Miech
RA
,
Bachman
JG
,
Schulenberg
J E
.
Monitoring the Future National Survey Results on Drug Use, 1975-2015: Overview, Key Findings on Adolescent Drug Use
.
Ann Arbor
:
Institute for Social Research, The University of Michigan
;
2016
3
Cullen
KA
,
Ambrose
BK
,
Gentzke
AS
,
Apelberg
BJ
,
Jamal
A
,
King
BA
.
Notes from the field: use of electronic cigarettes and any tobacco product among middle and high school students - United States, 2011-2018
.
MMWR Morb Mortal Wkly Rep
.
2018
;
67
(
45
):
1276
1277
4
U.S. Department of Health and Human Services
.
E-Cigarette Use Among Youth and Young Adults: A Report of the Surgeon General
.
Atlanta
:
US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
;
2016
5
National Academies of Sciences Engineering and Medicine
.
Public Health Consequences of E-Cigarettes
.
Washington, DC
:
The National Academies Press
;
2018
6
Smith
TT
,
Nahhas
GJ
,
Carpenter
MJ
, et al
.
Intention to quit vaping among United States adolescents
.
JAMA Pediatr
.
2021
;
175
(
1
):
97
99
7
Wang
TW
,
Gentzke
AS
,
Creamer
MR
, et al
.
Tobacco product use and associated factors among middle and high school students - United States, 2019
.
MMWR Surveill Summ
.
2019
;
68
(
12
):
1
22
8
The US Food and Drug Administration
.
Statement from FDA Commissioner Scott Gottlieb, M.D., on new steps to address epidemic of youth e-cigarette use
.
Silver Spring
:
The US Food and Drug Administration
;
2018
9
Truth Initiative
.
E-cigarettes: Facts, stats and regulations
.
10
Ali
FRM
,
Diaz
MC
,
Vallone
D
, et al
.
E-cigarette unit sales, by product and flavor type - United States, 2014-2020
.
MMWR Morb Mortal Wkly Rep
.
2020
;
69
(
37
):
1313
1318
11
The Centers for Disease Control and Prevention
.
Outbreak of lung injury associated with e-cigarette use, or vaping
.
2020
.
12
Tobacco 21.org
.
Communities with Tobacco 21 ordinances
.
Available at: https://tobacco21.org/state-by-state/. Accessed April 12, 2021
13
US Department of Health and Human Services
.
Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General
.
Atlanta
:
US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
;
2012
14
HealthyPeople2020
.
Tobacco use. TU-7. Increase smoking cessation attempts by adolescent smokers
.
15
US Department of Health and Human Services
.
The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General
.
Atlanta, GA
:
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
;
2014
16
The Food and Drug Administration
.
FDA launches new campaign: “The Real Cost” youth e-cigarette prevention campaign
.
17
Centers for Disease Control and Prevention
.
Methodology Report of the 2020 National Youth Tobacco Survey
.
Atlanta
:
US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
;
2020
18
The Centers for Disease Control and Prevention
.
Historical NYTS data and documentation
. .
19
Gentzke
AS
,
Wang
TW
,
Jamal
A
, et al
.
Tobacco product use among middle and high school students - United States, 2020
.
MMWR Morb Mortal Wkly Rep
.
2020
;
69
(
50
):
1881
1888
20
Cullen
KA
,
Gentzke
AS
,
Sawdey
MD
, et al
.
E-cigarette use among youth in the United States, 2019
.
JAMA
.
2019
;
322
(
21
):
2095
2103
21
Apelberg
BJ
,
Corey
CG
,
Hoffman
AC
, et al
.
Symptoms of tobacco dependence among middle and high school tobacco users: results from the 2012 National Youth Tobacco Survey
.
Am J Prev Med
.
2014
;
47
(
2 Suppl 1
):
S4
S14
22
Rubin
DB
.
Multiple Imputation for Nonresponse in Surveys
.
Hoboken, NJ
:
John Wiley and Sons
;
2004
23
Leas
EC
,
Nobles
AL
,
Caputi
TL
, et al
.
News coverage of the e-cigarette, or vaping, product use associated lung injury (EVALI) outbreak and internet searches for vaping cessation [published online ahead of print October 13, 2020]
.
Tob Control
.
doi: 10.1002/pbc.23273
24
Wackowski
OA
,
Sontag
JM
,
Singh
B
, et al
.
From the deeming rule to JUUL-US news coverage of electronic cigarettes, 2015-2018
.
Nicotine Tob Res
.
2020
;
22
(
10
):
1816
1822
25
Kong
G
,
Bold
KW
,
Cavallo
DA
,
Davis
DR
,
Jackson
A
,
Krishnan-Sarin
S
.
Informing the development of adolescent e-cigarette cessation interventions: A qualitative study
.
Addict Behav
.
2021
;
114
:
106720
26
Amato
MS
,
Bottcher
MM
,
Cha
S
,
Jacobs
MA
,
Pearson
JL
,
Graham
AL
.
“It’s really addictive and I’m trapped:” A qualitative analysis of the reasons for quitting vaping among treatment-seeking young people
.
Addict Behav
.
2021
;
112
:
106599
27
Gorukanti
A
,
Delucchi
K
,
Ling
P
,
Fisher-Travis
R
,
Halpern-Felsher
B
.
Adolescents’ attitudes towards e-cigarette ingredients, safety, addictive properties, social norms, and regulation
.
Prev Med
.
2017
;
94
:
65
71
28
Dai
H
,
Khan
AS
.
A longitudinal study of exposure to tobacco-related toxicants and subsequent respiratory symptoms among U.S. adults with varying e-cigarette use status
.
Nicotine Tob Res
.
2020
;
22
(
Suppl 1
):
S61
S69
29
Goniewicz
ML
,
Smith
DM
,
Edwards
KC
, et al
.
Comparison of Nicotine and Toxicant Exposure in Users of Electronic Cigarettes and Combustible Cigarettes
.
JAMA Netw Open
.
2018
;
1
(
8
):
e185937
30
Li
D
,
Sundar
IK
,
McIntosh
S
,
Ossip
DJ
,
Goniewicz
ML
,
O’Connor
RJ
, et al
.
Association of smoking and electronic cigarette use with wheezing and related respiratory symptoms in adults: cross-sectional results from the Population Assessment of Tobacco and Health (PATH) study, wave 2
.
Tob Control
.
2019
;
29
(
2
):
140
14
31
Tsai
J
,
Walton
K
,
Coleman
BN
, et al
.
Reasons for electronic cigarette use among middle and high school students - national youth tobacco survey, United States, 2016
.
MMWR Morb Mortal Wkly Rep
.
2018
;
67
(
6
):
196
200
32
The US Food and Drug Administration
.
FDA finalizes enforcement policy on unauthorized flavored cartridge-based e-cigarettes that appeal to children, including fruit and mint
.
33
DeVito
EE
,
Krishnan-Sarin
S
.
E-cigarettes: impact of e-liquid components and device characteristics on nicotine exposure
.
Curr Neuropharmacol
.
2018
;
16
(
4
):
438
459
34
Krishnan-Sarin
S
,
Jackson
A
,
Morean
M
, et al
.
E-cigarette devices used by high-school youth
.
Drug Alcohol Depend
.
2019
;
194
:
395
400
35
Goniewicz
ML
,
Boykan
R
,
Messina
CR
,
Eliscu
A
,
Tolentino
J
.
High exposure to nicotine among adolescents who use Juul and other vape pod systems (‘pods’)
.
Tob Control
.
2019
;
28
(
6
):
676
677
36
Wang
TW
,
Gentzke
AS
,
Neff
LJ
, et al
.
Disposable E-Cigarette Use among U.S. Youth - An Emerging Public Health Challenge
.
N Engl J Med
.
2021
;
384
(
16
)
1573
1576
37
US Department of Health and HumanServices
.
Smoking Cessation
.
A Reportof the Surgeon General
.
Atlanta, GA
:
U.S.Department of Health and Human Services,Centers for Disease Control andPrevention, National Center for ChronicDisease Prevention and Health Promotion,Office on Smoking and Health
;
2020
38
Vogel
EA
,
Cho
J
,
McConnell
RS
,
Barrington-Trimis
JL
,
Leventhal
AM
.
Prevalence of electronic cigarette dependence among youth and its association with future use
.
JAMA Netw Open
.
2020
;
3
(
2
):
e1921513
39
Bancej
C
,
O’Loughlin
J
,
Platt
RW
,
Paradis
G
,
Gervais
A
.
Smoking cessation attempts among adolescent smokers: a systematic review of prevalence studies
.
Tob Control
.
2007
;
16
(
6
):
e8
40
Brener
ND
,
Billy
JOG
,
Grady
WR
.
Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature
.
J Adolesc Health
.
2003
;
33
(
6
):
436
457

Competing Interests

POTENTIAL CONFLICT OF INTEREST: The author has indicated she has no conflicts of interest to disclose.

FINANCIAL DISCLOSURE: The author has indicated she has no financial relationships relevant to this article to disclose.