E-Cigarette Use and Regular Cigarette Smoking Among Youth: Population Assessment of Tobacco and Health Study (2013-2016).
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ABSTRACT: Introduction
This study examines the association between current e-cigarette use at baseline and regular cigarette smoking at follow-up among U.S. youth.Methods
A longitudinal analysis of youth (aged 12-17 years) data from Waves 1-3 of the Population Assessment of Tobacco and Health Study (2013-2016) was conducted between January 2019 and December 2019. Youth who reported past-30-day current e-cigarette use at baseline were identified and followed for regular cigarette smoking (≥20 days) at follow-up.Results
Compared with noncurrent e-cigarette users at baseline, current e-cigarette users (cigarette nonsmokers) had 5.0 (95% CI=1.9, 12.8) times higher odds of becoming regular cigarette smokers 1 year later. Additionally, there was a direct linear relationship between the number of days of e-cigarette use at baseline and the number of days of cigarette smoking 1 year later.Conclusions
Current e-cigarette use among U.S. youth is associated with higher odds of transitioning to regular cigarette smoking, likely reflecting robust transitions rather than experimentation. These results suggest that promoting e-cigarettes as the current practice for tobacco harm reduction will likely have the unintended consequence of initiating youth cigarette smokers.
SUBMITTER: Osibogun O
PROVIDER: S-EPMC7174087 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Importance:Approximately 90% of adult smokers first tried a cigarette by 18 years of age, and even infrequent smoking in adolescence is associated with established adult smoking. Noncigarette tobacco use is increasing and could stimulate subsequent conventional cigarette smoking in youths. Objective:To estimate the longitudinal association between noncigarette tobacco use and subsequent cigarette smoking initiation among US youth. Design, Setting, and Participants:In this prospective cohort study of the Population Assessment of Tobacco and Health (PATH) waves 1 (September 12, 2013, to December 14, 2014) and 2 (October 23, 2014, to October 30, 2015), a nationally representative sample of youths who never smoked a conventional cigarette at baseline and completed wave 2 follow-up (N = 10 384) was studied. PATH retention at follow-up was 87.9%. Exposures:Ever use and past 30-day use of electronic cigarettes (e-cigarettes), hookah, noncigarette combustible tobacco, or smokeless tobacco at baseline. Main Outcomes and Measures:Ever use and past 30-day use of cigarettes at follow-up. Results:The present analysis was based on the 10 384 PATH youth respondents who reported never having smoked a cigarette in wave 1 and whose cigarette ever or past 30-day use was reported in wave 2 (mean [SD] age, 14.3 [1.7] years; age range, 12-17 years; 5087 [49.1%] female; 4829 [52.5%] white). At 1-year follow-up, 469 (4.6%) of all baseline never-smoking youths had tried a cigarette and 219 (2.1%) had smoked a cigarette within the past 30 days. Cigarette ever use at follow-up was higher among youths who had ever used e-cigarettes (78 [19.1%]), hookah (60 [18.3%]), noncigarette combustible tobacco (45 [19.2%]), or smokeless tobacco (29 [18.8%]) at baseline. After adjusting for sociodemographic, environmental, and behavioral smoking risk factors and for baseline ever use of other tobacco products, the odds of past 30-day cigarette use at follow-up were approximately twice as high among baseline ever users of e-cigarettes (odds ratio [OR], 1.87; 95% CI, 1.15-3.05), hookah (OR, 1.92; 95% CI, 1.17-3.17), noncigarette combustible tobacco (OR, 1.78; 95% CI, 1.00-3.19), and smokeless tobacco (OR, 2.07; 95% CI, 1.10-3.87). Youths who had tried more than 1 type of tobacco product at baseline had 3.81 (95% CI, 2.22-6.54) greater adjusted odds of past 30-day cigarette smoking at follow-up than did baseline never tobacco users. Conclusions and Relevance:Any use of e-cigarettes, hookah, noncigarette combustible tobacco, or smokeless tobacco was independently associated with cigarette smoking 1 year later. Use of more than 1 product increased the odds of progressing to cigarette use.
| S-EPMC5801043 | biostudies-literature
Project description:IntroductionUnderstanding the population impact of e-cigarettes requires determining their effect on cigarette smoking cessation.MethodsUsing the US Population Assessment of Tobacco and Health cohort, we examined smoking cessation among adult current cigarette smokers at Wave 1 with follow-up data at Waves 2 and 3 (n = 9724).ResultsBy Wave 3 (2015/2016), 17.3% of smokers had quit smoking. Smokers using e-cigarettes daily or who increased to daily use over the three waves were two to four times more likely to have quit in the short term (<1 year) and long term (1+ years) compared with never e-cigarette users (p < .001). E-cigarette use in the last quit attempt was associated with a higher likelihood of short-term (<1 year) quitting at Wave 3 (adjusted relative risk ratio: 1.33; 95% confidence interval: 1.04, 1.71) compared with smokers who did not use an e-cigarette in their last quit attempt. Noncurrent (no use in any wave) e-cigarette users and users who were unstable in use frequency were 33% and 47% less likely to quit in the short-term, respectively (p < .001). Flavored (vs nonflavored) and using a rechargeable (vs disposable) e-cigarette device was associated with an increased likelihood of both short- and long-term quitting.ConclusionSmoking cessation was more likely among frequent e-cigarette users, users of e-cigarettes in last quit attempt, and users of flavored and rechargeable devices. Less frequent, unstable, past, or never e-cigarette users were less likely to quit smoking. Monitoring the relationship between patterns of e-cigarette and cigarette use is complex but critical for gauging the potential of e-cigarettes as a harm reduction tool.ImplicationsThis study suggests that consistent and frequent e-cigarette use over time is associated with cigarette smoking cessation among adults in the United States. In addition, findings suggest that flavored e-cigarette use and use of rechargeable e-cigarette devices can facilitate smoking cessation. These results underscore the importance of carefully defining and characterizing e-cigarette exposure patterns, potential confounders, and use of e-cigarettes to quit smoking, as well as variations in length of the smoking cessation.
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Project description:E-cigarettes are the most popular tobacco product among youth. Although harm perceptions have been linked to youth e-cigarette use, little research focuses on vulnerable populations, such as Appalachian youth. This study examines associations between e-cigarette harm perceptions and tobacco use among a sample of Appalachian youth. Using data from the 2014-2016 Youth Appalachian Tobacco Study (n=1074), distributions of six e-cigarette harm perceptions by tobacco use (never, ever non-e-cigarette, ever e-cigarette) were examined, and multivariable multinomial logistic regression was used. Nearly one-fourth (23.4%) of the sample were ever e-cigarette users. More e-cigarette users were male (53.4%) and in high school (57.0%). Fewer e-cigarette users strongly agreed that e-cigarettes cause health problems (15.1%), breathing problems (20.3%), and oral health problems (18.7%) and that e-cigarettes are addictive (25.1%), compared to never and non-e-cigarette users. More e-cigarette users strongly agreed (32.3%) that e-cigarettes are healthier alternatives to cigarettes compared to never (24.1%) and non-e-cigarette (25.7%) users. Regression models indicate that e-cigarette users had greater odds of strongly disagreeing with e-cigarettes being harmful or addictive, compared to never users. E-cigarette users had approximately six-fold odds of strongly disagreeing with e-cigarettes causing health problems (OR=6.12; 95% CI: 3.16-11.90) and two times greater odds of disagreeing with e-cigarettes being addictive (OR=2.09; 95% CI: 1.07-4.08) compared to never users. Appalachian youth ever e-cigarette users perceive e-cigarettes as less harmful and less addictive compared to never users. Better informing youth, especially youth tobacco users, of the harms associated with e-cigarettes is vital.
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Project description:Previous research has established an association between internalizing and externalizing problems with e-cigarette use in youth. Secondary analysis of Population Assessment of Tobacco and Health youth waves 1-4(2013-2017). Age of initiation of ever e-cigarette use and age of first report of past 30-day e-cigarette use were prospectively estimated among never e-cigarette users(waves 1-3). Weighted interval-censoring multivariable Cox proportional hazard models were fit to assess differences in each e-cigarette outcome among youth with internalizing and externalizing problems, as well as the interaction between internalizing and externalizing problems, while adjusting for covariates. Weighted interval-censoring survival analyses estimated the age of initiation of ever and age of first report of past 30-day e-cigarette use stratified by internalizing and externalizing problems. Among youth never e-cigarette users, those with high internalizing problems and high externalizing problems had increased risk of initiating ever e-cigarette use at earlier ages compared to youth with none/low internalizing and externalizing problems, respectively. Youth with high internalizing problems and high externalizing problems had increased risk of first reporting past 30-day e-cigarette use at earlier ages compared to youth with none/low internalizing problems, respectively. By age 17, 36.3% of youth with high internalizing problems and 38.5% of youth with high externalizing problems initiated ever e-cigarette use. By age 17, 16.8% of youth with high internalizing and 18.7% of youth with high externalizing problems first reported past 30-day e-cigarette use. Youth with internalizing and externalizing problems should be screened for e-cigarette use and provided with proper resources to prevent onset of e-cigarette use.
| S-EPMC10234265 | biostudies-literature
Project description:IntroductionYouth may be attracted to menthol cigarettes because they are perceived as less harmful and harsh to smoke relative to non-menthol cigarettes. This study examined demographic factors and menthol cigarette smoking patterns as correlates of youth harm perceptions of cigarette smoking and ease of smoking menthol versus non-menthol cigarettes.MethodsData were from the Wave 1 (2013-2014) youth sample of the Population Assessment of Tobacco and Health Study. Weighted multivariable logistic regression models were used to examine correlations between demographic factors and menthol cigarette smoking patterns (menthol initiation, past 30-day menthol cigarette smoking, and menthol cigarette brand preference), with harm perceptions of cigarette smoking and ease of smoking a menthol cigarette.ResultsNearly half of ever cigarette smoking youth (43%) first used a menthol cigarette; 21% reported past 30-day menthol cigarette smoking; and 42% of past 30-day smokers providing brand information used a menthol cigarette as their preferred brand. In bivariate analyses, initiation with a menthol cigarette and menthol brand preference (versus non-menthol) were correlated with black race, older age at initiation, and past 30-day menthol cigarette smoking. In adjusted models, past 30-day menthol cigarette smoking and menthol cigarette brand preference, but not menthol initiation, were correlated with the perception that menthol cigarettes are easier to smoke.ConclusionsYouth who smoke menthol cigarettes perceive them as easier to smoke, even after adjusting for other factors. Age of initiation and black race emerged as correlates of menthol cigarette initiation, brand preference, and cigarette harm perceptions, and may inform future prevention campaigns.
| S-EPMC7453836 | biostudies-literature
Project description:BackgroundPopulation models have been developed to evaluate the impact of new tobacco products on the overall population. Reliable input parameters such as longitudinal tobacco use transitions are needed to quantify the net population health impact including the number of premature deaths prevented, additional life years, and changes in cigarette smoking prevalence.MethodsThis secondary analysis assessed transition patterns from PATH wave 1 (2013-14) to wave 2 (2014-15) among adult exclusive cigarette smokers, exclusive e-cigarette users, and dual users. Transition probabilities were calculated by taking into account factors including cigarette smoking and e-cigarette use histories and experimental or established use behaviors. Multinomial logistic regression models were constructed to further evaluate factors associated with transition patterns.ResultsDifferential transition probabilities emerged among study subgroups when taking into account cigarette smoking and e-cigarette use histories and experimental or established use behaviors. For example, overall 45% of exclusive e-cigarette users in wave 1 continued using e-cigarettes exclusively in wave 2. However, we observed approximately 11 to 14% of wave 1 exclusive experimental e-cigarette users continued to use e-cigarette exclusively in wave 2, compared to about 62% of exclusive established e-cigarette users. The history of cigarette smoking and e-cigarette use is another important factor associated with transition patterns. Among experimental e-cigarette users, 7.5% of individuals without a history of cigarette smoking transitioned to exclusive cigarette smoking, compared to 30% of individuals with a history of cigarette smoking. Additionally, 1.3% of exclusive cigarette smokers in wave 1 transitioned to exclusive e-cigarette use, with the highest transition probability (3.7%) observed in the established cigarette smoker with a history of e-cigarette use subgroup.ConclusionsProduct use histories and current use behaviors are important factors influencing transitions between product use states. Given that experimental users' transition behaviors may be more variable and more influenced by tobacco use history, long-term predictions made by population models could be improved by the use of transition probabilities from established users. As transition patterns might be changing over time, long-term transition patterns can be examined through analysis of future waves of PATH data.
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Project description:ObjectiveTo determine if the declining trend in U.S. youth cigarette smoking changed after e-cigarettes were introduced, and if youth e-cigarette users would have been likely to smoke cigarettes based on psychosocial and demographic predictors of smoking.MethodsAn interrupted time series analysis was used for cross-sectional data from the 2004 to 2018 National Youth Tobacco Surveys (NYTS) to assess changes in cigarette and e-cigarette use over time. A multivariable logistic regression model used 2004-2009 NYTS data on psychosocial risk factors to predict individual-level cigarette smoking risk from 2011 to 2018. Model-predicted and actual cigarette smoking behavior were compared.ResultsThe decline in current cigarette smoking slowed in 2014 (-0.75 [95% CI: -0.81, -0.68] to -0.26 [95% CI: -0.40, -0.12] percentage points per year). The decline in ever cigarette smoking accelerated after 2012 (-1.45 [95% CI: -1.59, -1.31] to -1.71 [95% CI: -1.75, -1.66]). Ever and current combined cigarette and/or e-cigarette use declined during 2011-2013 and increased during 2013-2014 with no significant change during 2014-2018 for either variable. The psychosocial model estimated that 69.0% of current cigarette smokers and 9.3% of current e-cigarette users (who did not smoke cigarettes) would smoke cigarettes in 2018.ConclusionsThe introduction of e-cigarettes was followed by a slowing decline in current cigarette smoking, a stall in combined cigarette and e-cigarette use, and an accelerated decline in ever cigarette smoking. Traditional psychosocial risk factors for cigarette smoking suggest that e-cigarette users do not fit the traditional risk profile of cigarette smokers.
| S-EPMC7796895 | biostudies-literature