Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016)
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* Kathryn C Edwards
* Karin A Kasza
* Zhiqun Tang
* Cassandra A Stanton
* Eva Sharma
* Michael J Halenar
* Kristie A Taylor
* Elisabeth A Donaldson
* Lynn C Hull
* Maansi Bansal-Travers
* Jean Limpert
* Izabella Zandberg
* Lisa D Gardner
* Nicolette Borek
* Heather L Kimmel
* Wilson M Compton
* Andrew Hyland

## Abstract

**Objective** This study examines sociodemographic and tobacco use correlates of reuptake and relapse to tobacco use across a variety of tobacco products (cigarettes, electronic nicotine delivery systems, cigars, hookah and smokeless tobacco) among the US population.

**Design** Data were drawn from the first three waves (2013–2016) of the Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal cohort study of US youth (ages 12–17) and adults (ages 18+). Reuptake (past 30-day use among previous tobacco users) and relapse (current use among former established users; adults only) were examined among previous users of at least one type of tobacco product at Wave 1 (W1) or Wave 2 (W2) (n=19 120 adults, n=3039 youth). Generalised estimating equations were used to evaluate the association between demographic and tobacco use characteristics at baseline, with reuptake/relapse at follow-up, over two 1-year periods (W1–W2 and W2–Wave 3).

**Results** Any tobacco product reuptake occurred in 7.8% of adult previous users and 30.3% of youth previous users. Correlates of any tobacco reuptake included being male, non-Hispanic black and bisexual in adults, but race and sexual orientation were not consistent findings in youth. Among recent former users, relapse rates were greater (32.9%). Shorter time since last use and greater levels of tobacco dependence showed the strongest association with any tobacco relapse.

**Discussion** Continued clinical and public health efforts to provide adults with tools to cope with tobacco dependence symptoms, especially within the first year or two after quitting, could help prevent relapse.

*   electronic nicotine delivery devices
*   non-cigarette tobacco products
*   surveillance and monitoring

## Introduction

The majority of cigarette smokers who make at least one serious quit attempt relapse back to cigarette smoking, usually within the first week of quitting.1–3 This relapse could be due to the addictive nature of nicotine and negative nicotine withdrawal symptoms when stopping use,4 exposure to conditioned cues associated with the automated behaviour of tobacco product use,5 a desire to reinforce the subjective satisfaction derived from the product,6 and/or other social influences or stressors.6 7 Relapse among cigarette smokers has been studied extensively.3 8–13 The cycle between use, discontinued use and relapse can repeat multiple times throughout a tobacco user’s lifetime. Despite great progress in psychosocial and pharmacotherapy interventions, long-term abstinence rates for cigarette smokers tend to be 30% or less, making relapse the most likely outcome for addicted smokers who make a cessation attempt.3 Clinical data on relapse among cigarette smokers have revealed numerous factors associated with relapse, including sociodemographic characteristics (eg, age, race, socioeconomic status),8 9 cognitive and behavioural factors (eg, lack of self-efficacy),14 nicotine dependence/withdrawal,15 experiencing a smoking lapse16 and other comorbidities (eg, psychiatric illness, other substance use).17 

Epidemiological studies of smoking relapse are less common and limited due to the cross-sectional nature of most population-based studies. Caraballo *et al* 8 used 25 years of data from a community-based cohort study to assess cigarette smoking relapse. They found that 39% of former smokers (at baseline) relapsed at least once, but of those, 70% had quit again by the end of the study. Using data from the Tobacco Use Supplement to the Current Population Survey, Yi *et al* 9 investigated sociodemographic factors related to cigarette smoking relapse and found that at least 15% of young adults, ages 18–29, experience smoking relapse (or move from being a former smoker to a current smoker) compared with 3%–8% of older adults, age 30 or older, who relapse to smoking. Researchers have also examined the role of other tobacco product use on cigarette relapse and found that e-cigarette and smokeless tobacco users were more likely to relapse to cigarette smoking than non-users of these products.18–20 Yet less is known about relapse with other tobacco products in the current tobacco marketplace. Non-cigarette tobacco product users exhibit different patterns of use21 and different levels of nicotine dependence.22 23 The lack of data on relapse for tobacco products other than cigarettes is a significant limitation of the current literature, since use of non-cigarette tobacco products has increased in recent years.24–27 

Understanding the sociodemographic and tobacco use factors associated with reuptake and relapse to different tobacco products fills a large gap in the primarily cigarette-focused literature. Few studies have assessed the transition from any previous use back to past 30-day (P30D) use (hereafter referred to as product reuptake) or from former established use back to current use (ie, using every day or some days; hereafter referred to as product relapse).8 9 18 We have chosen to differentiate reuptake from relapse to allow exploration of behavioural changes that may or may not be indicative of a persistent pattern of use, especially among youth who may be experimenting with tobacco products. Using longitudinal data of the Population Assessment of Tobacco and Health (PATH) Study to assess within-person changes over time, this study evaluates the sociodemographic and tobacco use correlates of tobacco product reuptake among youth (ages 12–17) and adults (ages 18+), and tobacco product relapse among adults across several tobacco products available in the USA (cigarettes, electronic nicotine delivery systems (ENDS), cigars, hookah and smokeless tobacco). Knowing which sociodemographic and other tobacco use characteristics contribute to reuptake and relapse across a spectrum of tobacco products will enhance a targeted public health approach to preventing tobacco use relapse.

## Methods

### Data source and participants

The PATH Study is an ongoing, nationally representative, longitudinal cohort study of youth and adults in the USA to gather information on tobacco use patterns and associated health behaviours. Data were collected from 12 September 2013 to 14 December 2014 (Wave 1 (W1)); from 23 October 2014 to 30 October 2015 (Wave 2 (W2)); and from 19 October 2015 to 23 October 2016 (Wave 3 (W3)). Further details regarding the PATH Study design and W1 methods are published elsewhere.28 The overall weighted response rate was 78.4% for youth and 74.0% for adults at W1, 87.3% for youth and 83.2% for adults at W2, and 83.3% for youth and 78.4% for adults at W3. Details on interview procedures, questionnaires, sampling, weighting, response rates and accessing the data are described in the PATH Study Restricted Use Files User Guide at [https://doi.org/10.3886/Series606](https://www.icpsr.umich.edu/icpsrweb/NAHDAP/series/606). The study was conducted by Westat and approved by the Westat Institutional Review Board. All respondents ages 18 or older provided informed consent, with youth respondents ages 12–17 providing assent while each one’s parent/legal guardian provided consent. Data in this paper were drawn from respondents in W1, W2 and W3 of the PATH Study (25 384 adults at W1 or W2 and 12 993 youth at W1 or W2 (eg, among previous users of any tobacco product, youth who aged into adulthood at W2 were included in the youth analyses between W1 and W2 (n=624) and were included in the adult analyses between W2 and W3 (n=270). ‘Shadow youth’ or youth who turned 12 and entered the study at W2 (n=95) were included in the youth analyses between W2 and W3; see online supplementary table 1 for additional details)).

### Supplementary data

[[tobaccocontrol-2020-055660supp001.pdf]](pending:yes) 

The analytic sample is subset to respondents who had ever used a tobacco product but are not P30D users of at least one type of tobacco product at baseline (n=18 988 adults; n=2 983 youth). W1 is considered as the baseline to W2 and W2 is the baseline to W3. The weighted estimates represent the civilian, non-institutionalised population of the USA at the time of W3 who were ages 9 or older at W1, through application of population and replicate weights that adjust for the complex study design characteristics (eg, oversampling at W1) and non-response at W1, W2 and W3.

### Measures

#### Tobacco product use

Tobacco products were grouped into five types: cigarettes, ENDS (e-cigarettes at W1 and e-cigarettes, e-cigars, e-pipes and e-hookah at W2 and W3), cigars (traditional cigars, cigarillos and filtered cigars), hookah and smokeless tobacco (loose snus, moist snuff, dip, spit, chewing tobacco and snus pouches). Previous use, former established use (adults only) and recent former established use (adults only) are defined (see table 1) for each type of product and any tobacco use.

View this table:
[Table 1](http://tobaccocontrol.bmj.com/content/29/Suppl_3/s216/T1)

Table 1 
Definitions

View this table:
[Table 2](http://tobaccocontrol.bmj.com/content/29/Suppl_3/s216/T2)

Table 2 
Correlates of reuptake among previous users at baseline (adults 18+)

View this table:
[Table 3](http://tobaccocontrol.bmj.com/content/29/Suppl_3/s216/T3)

Table 3 
Correlates of 'Relapse' among former established users (adults 18+) with no P30D tobacco use at baseline

#### Outcomes

Reuptake was defined as the transition from previous use at baseline (W1 or W2) to P30D use at follow-up (W2 or W3). Relapse was defined as the transition from former established use (former established use cannot be defined from the youth interview) at baseline (W1 or W2) to current every day or some day use at follow-up (W2 or W3). Among adults, relapse was assessed among all former established users, and separately among recent (within the past 12 months) former users. See table 1 for definitions. For a visual depiction of how the reuptake definition compares to the relapse definition, see online supplementary figure 1.

#### Demographic characteristics

Demographic characteristics were assessed at the baseline wave and categorised as shown in the tables. Missing data on age, sex, race and Hispanic ethnicity were imputed at W1 as described in the PATH Study Restricted Use Files User Guide (imputed sex and race/ethnicity were carried forward to also represent these characteristics at W2; however, age at W2 was used since the time between interviews may not have yielded one additional year in all instances).29 

#### Tobacco use characteristics

Time since last use for each tobacco product among adult former established users was categorised as: between 30 days and 1 year, between more than 1 year up to 2 years or more than 2 years. Among adult recent former established users only, tobacco dependence was also assessed (using a 16-item measure validated across multiple types of tobacco use, see reference 23 for more details).

### Statistical analyses

Generalised estimating equations (GEE) were used to evaluate the association between correlates assessed at baseline and reuptake/relapse to tobacco product use at follow-up, over two 1-year periods (W1–W2 and W2–W3). This statistical method allows for the inclusion of transitions from both periods in a single analysis while statistically controlling for interdependence among observations contributed by the same individuals.30 31 GEE logistic regression models specified unstructured covariance, within-person correlation matrices and the binomial distribution of the dependent variable using the logit link function. Analyses were weighted using the W3 ‘all-wave’ weights to produce nationally representative estimates, and variances were computed using the balanced repeated replication method32 with Fay’s adjustment set to 0.3 to increase estimate stability.33 All analyses were conducted using SAS V.9.4 software (SAS Institute). See online supplementary material for the SAS macro code created to run weighted GEE analyses and calculate adjusted ORs (aORs) and CIs. Analyses were run on the W1–W3 Restricted Use Files to allow for exploration of more race/ethnicity categories and sexual orientation ([https://doi.org/10.3886/ICPSR36231.v18](https://doi.org/10.3886/ICPSR36231.v18)). Demographic and tobacco use correlates were included in each model, adjusting for all correlates including wave among adults and youth separately.

## Results

### Reuptake among previous users

#### Adults

Among adult previous users, the rate of P30D reuptake of any tobacco product use was 7.8% (95% CI 7.4 to 8.3; table 2) at 1-year follow-up. Rates of P30D reuptake for each type of tobacco product at follow-up were 5.2% (95% CI 4.9 to 5.6) for cigarettes, 16.0% (95% CI 15.2 to 16.8) for ENDS, 7.3% (95% CI 6.9 to 7.8) for cigars, 6.1% (95% CI 5.7 to 6.6) for hookah and 4.4% (95% CI 3.9 to 5.0) for smokeless tobacco.

##### Any tobacco

Adults ages 25–39, 40–54 or 55+ (aOR range: 0.1–0.5), those with a bachelor’s degree or higher (aOR 0.7, 95% CI 0.5 to 0.9), and household income of US$25 000–US$74 999 or ≥ US$75 000 per year (US$25 000–US$74 999: aOR 0.7, 95% C: 0.6 to 0.9; ≥ US$75 000: aOR 0.7, 95% CI 0.5 to 0.8) had lower odds of tobacco use reuptake than those ages 18–24, those without a high school diploma, and to those with household income less than US$25 000 per year, respectively. Male sex (aOR 1.5, 95% CI 1.3 to 1.8), non-Hispanic black race/ethnicity (aOR 1.4, 95% CI 1.1 to 1.7) and identifying as bisexual (aOR 1.5, 95% CI 1.0 to 2.0) all had higher odds of tobacco use reuptake than females, non-Hispanic white race/ethnicity and those who identified as straight/heterosexual, respectively, as shown in table 2.

##### Cigarettes

Older adults (ages 25 or older; aOR range=0.2–0.5) and those with a bachelor’s degree or higher (aOR 0.7, 95% CI 0.5 to 0.9) had lower odds of cigarette use reuptake compared with those ages 18–24 and those without a high school diploma, respectively. Non-Hispanic black (aOR 1.5, 95% CI 1.2 to 1.9) and Hispanic (aOR 1.5, 95% CI 1.2 to 1.9) race/ethnicities and identifying as bisexual (aOR 1.6, 95% CI 1.1 to 2.2) had higher odds of cigarette use reuptake compared with those who are non-Hispanic white or identified as straight/heterosexual. Those who were P30D users of cigars (aOR 2.1, 95% CI 1.8 to 2.5), ENDS (aOR 3.6, 95% CI 2.9 to 4.5) or smokeless tobacco products (aOR 1.5, 95% CI 1.1 to 2.0) at baseline had higher odds of cigarette use reuptake compared with those who were not P30D users of these products, as shown in table 2.

##### ENDS

Older adults (ages 25 or older; aOR range=0.4–0.7) and identifying as non-Hispanic black race/ethnicity (aOR 0.7, 95% CI 0.6 to 0.9) had lower odds of ENDS use reuptake compared with those ages 18–24 and to those who are non-Hispanic white. Those who identify as gay or lesbian (aOR 1.4, 95% CI 1.0 to 2.0) had higher odds of ENDS use reuptake compared with heterosexuals. P30D users of cigarettes (aOR 2.1, 95% CI 1.8 to 2.5), cigars (aOR 1.3, 95% CI 1.2 to 1.6) or hookah (aOR 1.8, 95% CI 1.5 to 2.2) at baseline had higher odds of ENDS use reuptake compared with those who were not P30D users of these products, as shown in table 2.

##### Cigars

Older adults (ages 25 or older; aOR range=0.3–0.6) had lower odds of cigar use reuptake compared with those ages 18–24. Male sex (aOR 1.6, 95% CI 1.4 to 1.8), non-Hispanic black (aOR 1.9 95% CI 1.5 to 2.3) and Hispanic (aOR 1.3, 95% CI 1.1 to 1.5) race/ethnicities and those who identified as bisexual (aOR 1.5, 95% CI 1.1 to 2.0); had higher odds of cigar use reuptake compared with females, those who are non-Hispanic white, and those who identified as heterosexual/straight. P30D users of cigarettes (aOR 1.9, 95% CI 1.7 to 2.2), ENDS (aOR 1.2, 95% CI 1.1 to 1.4), hookah (aOR 1.5, 95% CI 1.2 to 1.9) or smokeless tobacco products (aOR 1.4, 95% CI 1.1 to 1.8) at baseline had higher odds of cigar use reuptake compared with those who were not P30D users of these products, as shown in table 2.

##### Hookah

Older adults (ages 25 or older; aOR range: 0.3–0.4) and those with a bachelor’s degree or higher (aOR 0.7, 95% CI 0.5 to 0.9) had lower odds of hookah use reuptake compared with those ages 18–24 or those without a high school diploma. Non-Hispanic black (aOR 2.7, 95% CI 2.1 to 3.5), Hispanic (aOR 1.8, 95% CI 1.4 to 2.2) and non-Hispanic other race (aOR 1.9, 95% CI 1.5 to 2.6) as well as identifying as bisexual (aOR 1.7, 95% CI 1.2 to 2.2) or gay/lesbian (aOR 1.6, 95% CI 1.1 to 2.3) all had higher odds of hookah use reuptake compared with those who are non-Hispanic white or those who identified as heterosexual/straight. P30D users of cigarettes (aOR 1.4, 95% CI 1.2 to 1.6) or cigars (aOR 1.5, 95% CI 1.2 to 1.8) at baseline had higher odds of hookah use reuptake compared with those who were not P30D users of these products, as shown in table 2.

##### Smokeless tobacco

Adults ages 25 or older (aOR range: 0.2–0.7) and those with a bachelor’s degree or higher (aOR 0.5, 95% CI 0.3 to 0.9) had lower odds of smokeless tobacco reuptake use compared with those ages 18–24 and those without a high school diploma, respectively. Male sex (aOR 2.5, 95% CI 1.8 to 3.5) and P30D use of cigars (aOR 1.5, 95% CI 1.1 to 2.1) had higher odds of smokeless tobacco use reuptake compared with females and those who were not P30D users of cigars, as shown in table 2.

#### Youth

Among youth who were previous users of any tobacco product at baseline, the rate of P30D reuptake of any tobacco product use was 30.3% (online supplementary table 2) at follow-up. Rates of P30D reuptake for each type of tobacco product at follow-up ranged from just over 15% (smokeless tobacco) to almost 25% (cigars). Being an older youth (ages 15–17) was a significant predictor of reuptake of any tobacco and of all individual tobacco products except smokeless tobacco. See online supplementary table 2 for additional significant correlates of tobacco product reuptake in youth.

### Relapse among former established users

#### Adults

Generally, the pattern of findings for relapse of any tobacco use among adult former established users (table 3) was fairly consistent with reuptake among adult previous tobacco users (table 2).

Among former established users of any tobacco product at baseline, 6.5% (95% CI 5.9 to 7.2; table 3) relapsed to use of any tobacco product at follow-up. Rates of relapse for each type of tobacco product at follow-up were 4.2% (95% CI 3.7% to 4.7%) for cigarettes, 17.6% (95% CI 15.4 to 19.9) for ENDS, 6.6% (95% CI 5.7 to 7.6) for cigars, 9.1% (95% CI 7.5 to 11.0) for hookah and 6.7% (95% CI 5.2 to 8.6) for smokeless tobacco.

##### Any tobacco

Adults ages 25 or older (aOR range: 0.1–0.4) were less likely to relapse than those ages 18–24, while males (aOR 1.7, 95% CI 1.3 to 2.2) were more likely than females to relapse (see table 3).

##### Cigarettes

Adults ages 40 or older (aOR range: 0.4–0.5) and those with larger income (aOR range: 0.6–0.7) were less likely to relapse than those ages 18–24 and those with a household income <US$25,000, respectively. Use of cigars (aOR 1.5, 95% CI 1.1 to 2.1) or ENDS (aOR 1.9, 95% CI 1.3 to 2.8) at baseline was associated with greater odds of relapse. Time since last use of cigarettes was a significant predictor of cigarette relapse, with recent use (within the past year; aOR 13.0, 95% CI 8.8 to 19.2) as well as cigarette use 1–2 years ago (aOR 3.4, 95% CI 2.3 to 5.1) having higher odds of relapse to cigarette use compared with last use more than 2 years ago, as shown in table 3.

##### Non-cigarette tobacco products

As shown in table 3, use of cigarettes at baseline (aOR 2.1, 95% CI 1.4 to 3.4) was associated with higher odds of relapse to ENDS use than those who did not use cigarettes at baseline. Non-Hispanic black race/ethnicity (aOR 2.5, 95% CI 1.4 to 4.7) was associated with higher odds of cigar relapse compared with non-Hispanic white race/ethnicity. For all products, other than ENDS, time since last use was a significant predictor of relapse to that product. Recent use (between 30 days and 1 year) was associated with higher odds of relapse (aOR range: 3.5 (hookah) to 11.0 (smokeless)) compared with last use 2 or more years ago. Among cigar and smokeless tobacco users, last use between 1 and 2 years ago was also associated with higher odds for relapse (aOR range: 3.3 (smokeless) to 5.0 (cigars)).

### Relapse among recent former established users

#### Adults

Among recent former users of any tobacco product, the only significant predictor of relapse was tobacco dependence, with those with higher dependence scores having higher odds of relapse to any tobacco use (aOR 1.2, 95% CI 1.1 to 1.4; online supplementary table 3). After adjusting for correlates including tobacco dependence, those with an income ≥US$75 000 per year (aOR 0.5, 95% CI 0.3 to 0.8) had lower odds of cigarette relapse than those with an income <US$25 000 per year.

## Discussion

Over a 1-year period, less than 10% of adult users made the transition from previous product use to P30D use (reuptake) for any tobacco product (7.8%) or any individual product (reuptake ranged from 4.4% for smokeless tobacco to 7.3% for cigars) except ENDS. Among adult previous ENDS users, 16.0% were P30D ENDS users at the follow-up wave. Among youth, reuptake rates were much greater compared with adults (reuptake of any tobacco was 30.3%, with rates for individual products ranging from 15.6% for smokeless tobacco to 24.7% for cigars). This pattern is consistent with results evaluating reuptake over two waves of the PATH Study; ENDS had the highest reuptake rate of any P30D use (regardless of other products used) in youth and young adults (ages 18–24).34–38 ENDS products have also changed substantially from first generation devices that were not efficient at nicotine delivery,39 to more advanced second generation devices and pod-mods (ie, JUUL), the latter of which increased its market share after the reporting period used for these analyses.40 Therefore, these reuptake rates may signal continued experimentation of an evolving product or progression to regular use in youth and young adults.41 42 

The overall relapse rate reported in this study, 6.5%, is much lower than the rate found by Caraballo *et al* 8 (~30%); however, it is difficult to compare findings from a 1-year period to those from a study that spanned 30 years. Our relapse definition focused on the transition back to current every day or some day use; however, using the outcome of P30D use would likely increase the number of relapse observations (ie, from 591 observations to 818 observations among former established cigarette users who did not use cigarettes in the past 30 days at baseline). While using a different outcome would likely change the overall relapse rate, we do not believe there would be substantial impact on the correlates of relapse as they were fairly similar across our current definitions of reuptake and relapse. Future research should explore the impact of different definitions (ie, including every day, some day or any P30D use at follow-up), as well as the role of intermittent product use patterns43 on relapse rates.

Many demographic correlates of tobacco product reuptake were consistent with previously published correlates of tobacco product use.8 9 44–48 Consistent with Yi *et al*,9 the present study found less reuptake in older adults compared with younger adu intermittent product use pattelts, and higher levels of education were associated with a decreased likelihood of reuptake to current use of any tobacco and cigarettes. This is consistent with literature citing continued experimentation and initiation of tobacco product use among young adults.49–52 Furthermore, our results show that age is consistently correlated with tobacco product reuptake among youth as well, with high school students aged 15–17 years old, being more likely to reuptake tobacco products than those aged 12–14 (middle school to early high school students).53 54 In addition, this study expanded previous research findings to include sexual orientation which was a significant predictor (adults only) of tobacco reuptake, with sexual minorities (identifying as gay/lesbian or bisexual) having higher odds of reuptake to tobacco products except smokeless tobacco than those who identified as straight/heterosexual. In contrast to Yi *et al*,9 who found no racial/ethnic differences in reuptake rates, we found a significant race/ethnicity effect in adults such that previous non-Hispanic black users were more likely to reuptake any tobacco, specifically all combusted tobacco products, than previous non-Hispanic white users were. However, among youth, racial/ethnic minorities were less likely to reuptake any tobacco use, but race/ethnicity had no significant effect across individual products.

Moreover, our findings support previous research noting that other tobacco product use is associated with reuptake of not only cigarette smoking,18–20 but other tobacco product use as well. These findings are consistent with those in the report by Kasza *et al* 55 that evaluates correlates of tobacco product initiation. Since both initiation and reuptake are behaviours that involve starting (or restarting) tobacco use, it is not surprising that the pattern of correlates, in adults,55 is similar to those seen here. Among former established users, time since last use had the largest magnitude of effect on subsequent relapse, especially among combusted products (ranging from a 4-fold increase in relapse among hookah smokers to a 13-fold increase among cigarette smokers; see table 3).We also explored the role of tobacco dependence in relapse among recent former established users (online supplementary table 3) and found tobacco dependence had a significant effect among any tobacco users. Tobacco dependence is a well-documented correlate of relapse to cigarette smoking,4 and although not statistically significant in ENDS and cigar relapse future research should continue to explore the role of dependence in other tobacco product relapse.

### Limitations

The reduced sample size in models among former established and recent former established users, particularly when looking at smokeless tobacco use and sexual orientation, may have played a role in the reduced number of significant sociodemographic predictors. Additional limitations include the inability to incorporate all possible predictors of relapse in our models which we hope future research explores. Other possible predictors could include reasons for use, substance use, mental health symptoms, and parental and peer tobacco use. Furthermore, the present study focused on behavioural change over two 1-year periods; additional waves of the PATH Study can assess these behaviour transitions over longer periods, in which behaviour change may still be occurring.56–58 Lastly, the definition of ENDS was expanded at Wave 2 to include other electronic nicotine products (e-hookah, e-pipe) which could have impacted reuptake/relapse rates.

### Summary and implications

The present study fills in gaps in the current literature to present correlates of tobacco product reuptake and relapse across multiple tobacco products among US youth and adults. Correlates of any tobacco reuptake include being male, non-Hispanic black and bisexual in adults, but findings for race and sexual orientation were less consistent in youth. When assessing tobacco product relapse among adult former established users, time since last use and tobacco dependence (among recent former established users) appeared to be the strongest predictors of current use at follow-up. Continued clinical and public health efforts to provide adults with tools to cope with tobacco dependence, especially within the first year or two after quitting, could help prevent relapse to both cigarette and non-cigarette tobacco products.

### What this paper adds

*   Understanding the sociodemographic and tobacco use factors associated with reuptake and relapse to different tobacco products fills a large gap in the primarily cigarette-focused literature. This study evaluates the sociodemographic and tobacco use correlates of tobacco product reuptake among youth (ages 12–17) and adults (ages 18+) and tobacco product relapse among adults across any tobacco and specific classes of tobacco products available in the USA.

*   Over a 1-year period, reuptake was less than 8% for all products except ENDS (16%) among adults, and higher for youth (between 15% and 25% across products). Correlates of any tobacco reuptake included being male, non-Hispanic black and bisexual in adults, but race and sexual orientation were not consistent findings in youth. These correlates among adults are similar to those seen in tobacco product initiation.

*   Among adults, relapse rates were similar to reuptake. Relapse rates were higher (15%–28% across products) when restricting our analyses to recent (within the past 12 months) former established users. Shorter time since last use and greater levels of tobacco dependence showed the strongest association with any tobacco relapse.

*   Continued clinical and public health efforts to provide adults with tools to cope with tobacco dependence, especially within the first year or two after quitting, could help prevent relapse to both cigarette and non-cigarette tobacco products.

## Footnotes

*   Contributors KCE and KAK led the conceptual design of the work. KCE drafted the initial manuscript and all authors critically revised it. ZT conducted the statistical analyses and all authors contributed to the interpretation of results. All authors approved the work for journal publication and agree to be accountable for all aspects of the work.

*   Funding This manuscript is supported with Federal funds from the National Institute on Drug Abuse, National Institutes of Health, and the Center for Tobacco Products, Food and Drug Administration, Department of Health and Human Services, under a contract to Westat (contract no. HHSN271201100027C).

*   Disclaimer The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Department of Health and Human Services or any of its affiliated institutions or agencies.

*   Competing interests WMC reports long-term stock holdings in General Electric Company, 3M Company, and Pfizer Incorporated, unrelated to this manuscript. No financial disclosures were reported by the other authors of this paper.

*   Patient consent for publication Not required.

*   Ethics approval The study was conducted by Westat and approved by the Westat Institutional Review Board. All participants ages 18 and older provided informed consent, with youth participants ages 12 to 17 providing assent while their parent/legal guardian provided consent.

*   Provenance and peer review Not commissioned; internally peer reviewed.

*   Data availability statement Data from the PATH Study Wave 1 to Wave 3 may be obtained from a third party and are not publicly available: [https://www.icpsr.umich.edu/icpsrweb/NAHDAP/studies/36231](https://www.icpsr.umich.edu/icpsrweb/NAHDAP/studies/36231). Application instructions and conditions of use are available at the website above.

## References

1.   Hymowitz N , Cummings KM , Hyland A , et al . Predictors of smoking cessation in a cohort of adult smokers followed for five years. Tob Control 1997;6(Suppl 2):S57–62.[doi:10.1136/tc.6.suppl_2.S57](http://dx.doi.org/10.1136/tc.6.suppl_2.S57) 
    
    

2.   Ossip-Klein DJ , Bigelow G , Parker SR , et al . Classification and assessment of smoking behavior. Health Psychol 1986;5 Suppl:3–11.[doi:10.1037/0278-6133.5.Suppl.3](http://dx.doi.org/10.1037/0278-6133.5.Suppl.3) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0278-6133.5.Suppl.3&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=3582323&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

3.   Piasecki TM . Relapse to smoking. Clin Psychol Rev 2006;26:196–215.[doi:10.1016/j.cpr.2005.11.007](http://dx.doi.org/10.1016/j.cpr.2005.11.007) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.cpr.2005.11.007&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=16352382&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000236092100007&link_type=ISI) 

4.   Benowitz NL , Addiction N . Nicotine addiction. N Engl J Med 2010;362:2295–303.[doi:10.1056/NEJMra0809890](http://dx.doi.org/10.1056/NEJMra0809890) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1056/NEJMra0809890&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=20554984&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000278816300008&link_type=ISI) 

5.   Niaura RS , Rohsenow DJ , Binkoff JA , et al . Relevance of cue reactivity to understanding alcohol and smoking relapse. J Abnorm Psychol 1988;97:133–52.[doi:10.1037/0021-843X.97.2.133](http://dx.doi.org/10.1037/0021-843X.97.2.133) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0021-843X.97.2.133&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=3290304&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1988N458600003&link_type=ISI) 

6.   Shiffman S , Kirchner TR . Cigarette-by-cigarette satisfaction during ad libitum smoking. J Abnorm Psychol 2009;118:348–59.[doi:10.1037/a0015620](http://dx.doi.org/10.1037/a0015620) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/a0015620&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=19413409&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000265893300009&link_type=ISI) 

7.   Niaura R , Shadel WG , Britt DM , et al . Response to social stress, urge to smoke, and smoking cessation. Addict Behav 2002;27:241–50.[doi:10.1016/S0306-4603(00)00180-5](http://dx.doi.org/10.1016/S0306-4603(00)00180-5) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/S0306-4603(00)00180-5&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=11817765&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000172874200007&link_type=ISI) 

8.   Caraballo RS , Kruger J , Asman K , et al . Relapse among cigarette smokers: the CARDIA longitudinal study - 1985-2011. Addict Behav 2014;39:101–6.[doi:10.1016/j.addbeh.2013.08.030](http://dx.doi.org/10.1016/j.addbeh.2013.08.030) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.addbeh.2013.08.030&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=24172753&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

9.   Yi Z , Mayorga ME , Hassmiller Lich K , et al . Changes in cigarette smoking initiation, cessation, and relapse among U.S. adults: a comparison of two longitudinal samples. Tob Induc Dis 2017;15:17.[doi:10.1186/s12971-017-0121-3](http://dx.doi.org/10.1186/s12971-017-0121-3) 
    
    

10.  Hyland A , Li Q , Bauer JE , et al . Predictors of cessation in a cohort of current and former smokers followed over 13 years. Nicotine Tob Res 2004;6(Suppl 3):S363–9.[doi:10.1080/14622200412331320761](http://dx.doi.org/10.1080/14622200412331320761) 
    
    

11.  Brownell KD , Marlatt GA , Lichtenstein E , et al . Understanding and preventing relapse. Am Psychol 1986;41:765–82.[doi:10.1037/0003-066X.41.7.765](http://dx.doi.org/10.1037/0003-066X.41.7.765) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0003-066X.41.7.765&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=3527003&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1986D256300002&link_type=ISI) 

12.  Ockene JK , Emmons KM , Mermelstein RJ , et al . Relapse and maintenance issues for smoking cessation. Health Psychol 2000;19:17–31.[doi:10.1037/0278-6133.19.Suppl1.17](http://dx.doi.org/10.1037/0278-6133.19.Suppl1.17) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0278-6133.19.Suppl1.17&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10709945&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000085692500003&link_type=ISI) 

13.  Zhou X , Nonnemaker J , Sherrill B , et al . Attempts to quit smoking and relapse: factors associated with success or failure from the ATTEMPT cohort study. Addict Behav 2009;34:365–73.[doi:10.1016/j.addbeh.2008.11.013](http://dx.doi.org/10.1016/j.addbeh.2008.11.013) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.addbeh.2008.11.013&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=19097706&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000263490700005&link_type=ISI) 

14.  Shadel WG , Mermelstein RJ . Cigarette smoking under stress: the role of coping expectancies among smokers in a clinic-based smoking cessation program. Health Psychol 1993;12:443–50.[doi:10.1037/0278-6133.12.6.443](http://dx.doi.org/10.1037/0278-6133.12.6.443) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0278-6133.12.6.443&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=8293727&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1993NL89200002&link_type=ISI) 

15.  Hughes JR , Hatsukami D . Signs and symptoms of tobacco withdrawal. Arch Gen Psychiatry 1986;43:289–94.[doi:10.1001/archpsyc.1986.01800030107013](http://dx.doi.org/10.1001/archpsyc.1986.01800030107013) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1001/archpsyc.1986.01800030107013&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=3954551&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1986A284600012&link_type=ISI) 

16.  Vangeli E , Stapleton J , Smit ES , et al . Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction 2011;106:2110–21.[doi:10.1111/j.1360-0443.2011.03565.x](http://dx.doi.org/10.1111/j.1360-0443.2011.03565.x) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1111/j.1360-0443.2011.03565.x&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=21752135&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000296534200010&link_type=ISI) 

17.  Covey LS , Glassman AH , Stetner F , et al . Effect of history of alcoholism or major depression on smoking cessation. Am J Psychiatry 1993;150:1546–7.[doi:10.1176/ajp.150.10.1546](http://dx.doi.org/10.1176/ajp.150.10.1546) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1176/ajp.150.10.1546&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=8379564&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1993MA34200021&link_type=ISI) 

18.  Verplaetse TL , Moore KE , Pittman BP , et al . Intersection of e-cigarette use and gender on transitions in cigarette smoking status: findings across waves 1 and 2 of the population assessment of tobacco and health study. Nicotine Tob Res 2018;67.[doi:10.1093/ntr/nty187](http://dx.doi.org/10.1093/ntr/nty187) 
    
    

19.  Messer K , Vijayaraghavan M , White MM , et al . Cigarette smoking cessation attempts among current US smokers who also use smokeless tobacco. Addict Behav 2015;51:113–9.[doi:10.1016/j.addbeh.2015.06.045](http://dx.doi.org/10.1016/j.addbeh.2015.06.045) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.addbeh.2015.06.045&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=26253939&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

20.  McMillen R , Klein JD , Wilson K , et al . E-Cigarette use and future cigarette initiation among never smokers and relapse among former smokers in the path study. Public Health Rep 2019;134:528–36.[doi:10.1177/0033354919864369](http://dx.doi.org/10.1177/0033354919864369) 
    
    

21.  Kasza KA , Ambrose BK , Conway KP , et al . Tobacco-Product use by adults and youths in the United States in 2013 and 2014. N Engl J Med 2017;376:342–53.[doi:10.1056/NEJMsa1607538](http://dx.doi.org/10.1056/NEJMsa1607538) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=28121512&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

22.  Rostron BL , Schroeder MJ , Ambrose BK . Dependence symptoms and cessation intentions among US adult daily cigarette, cigar, and e-cigarette users, 2012-2013. BMC Public Health 2016;16:814.[doi:10.1186/s12889-016-3510-2](http://dx.doi.org/10.1186/s12889-016-3510-2) 
    
    

23.  Strong DR , Pearson J , Ehlke S , et al . Indicators of dependence for different types of tobacco product users: descriptive findings from wave 1 (2013-2014) of the population assessment of tobacco and health (path) study. Drug Alcohol Depend 2017;178:257–66.[doi:10.1016/j.drugalcdep.2017.05.010](http://dx.doi.org/10.1016/j.drugalcdep.2017.05.010) 
    
    

24.  Gilreath TD , Leventhal A , Barrington-Trimis JL , et al . Patterns of alternative tobacco product use: emergence of hookah and e-cigarettes as preferred products amongst youth. J Adolesc Health 2016;58:181–5.[doi:10.1016/j.jadohealth.2015.10.001](http://dx.doi.org/10.1016/j.jadohealth.2015.10.001) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.jadohealth.2015.10.001&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=26598059&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

25. US Department of Health and Human Services. The health consequences of Smoking—50 years of progress: a report of the surgeon General. 943. Atlanta, GA: 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, 2014.
    
    

26.  King BA , Patel R , Nguyen KH , et al . Trends in awareness and use of electronic cigarettes among US adults, 2010-2013. Nicotine Tob Res 2015;17:219–27.[doi:10.1093/ntr/ntu191](http://dx.doi.org/10.1093/ntr/ntu191) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1093/ntr/ntu191&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=25239961&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

27.  Agaku IT , King BA , Husten CG , et al . Tobacco product use among adults--United States, 2012-2013. MMWR Morb Mortal Wkly Rep 2014;63:542–7.
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=24964880&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

28.  Hyland A , Ambrose BK , Conway KP , et al . Design and methods of the population assessment of tobacco and health (path) study. Tob Control 2017;26:371–8.[doi:10.1136/tobaccocontrol-2016-052934](http://dx.doi.org/10.1136/tobaccocontrol-2016-052934) 
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjg6IjI2LzQvMzcxIjtzOjQ6ImF0b20iO3M6MzY6Ii90b2JhY2NvY29udHJvbC8yOS9TdXBwbF8zL3MyMTYuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 

29. US Department of Health and Human ServicesNational Institutes of HealthNational Institute on Drug Abuse, and US Department of Health and Human ServicesFood and Drug AdministrationCenter for Tobacco Products. Population Assessment of Tobacco and Health (PATH) Study [United States] Restricted-Use Files. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019. [https://doi.org/10.3886/ICPSR36231.v17](https://doi.org/10.3886/ICPSR36231.v17) 
    
    

30.  Liang K-YEE , Zeger SL . Longitudinal data analysis using generalized linear models. Biometrika 1986;73:13–22.[doi:10.1093/biomet/73.1.13](http://dx.doi.org/10.1093/biomet/73.1.13) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1093/biomet/73.1.13&link_type=DOI) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=A1986A734100002&link_type=ISI) 

31.  Hardin JW , Hilbe JM . Generalized estimating equations. Boca Raton, FL: Chapman and Hall/CRC, 2003.
    
    

32.  McCarthy PJ . Pseudoreplication: further evaluation and applications of the balanced half-sample technique. Vital Health Stat 2 1969:1–24.
    
    

33.  Judkins DR . Fay's method for variance estimation. J Off Stat 1990;6:223.
    
    

34.  Taylor KA , Sharma E , Edwards KC , et al . Longitudinal pathways of exclusive and polytobacco cigarette use among youth, young adults, and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s139–46.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxMzkiO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

35.  Stanton CA , Sharma E , Edwards KC , et al . Longitudinal transitions of exclusive and polytobacco electronic nicotine delivery systems (ends) use among youth, young adults, and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s147–54.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxNDciO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

36.  Sharma E , Bansal-Travers M , Edwards KC , et al . Longitudinal pathways of exclusive and polytobacco hookah use among youth, young adults, and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s155–62.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxNTUiO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

37.  Edwards KC , Sharma E , Halenar MJ , et al . Longitudinal pathways of exclusive and polytobacco cigar use among youth, young adults, and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s163–9.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxNjMiO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

38.  Sharma E , Edwards KC , Halenar MJ , et al . Longitudinal pathways of exclusive and polytobacco smokeless use among youth, young adults, and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s170–7.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxNzAiO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

39.  Breland A , Soule E , Lopez A , et al . Electronic cigarettes: what are they and what do they do? Ann N Y Acad Sci 2017;1394:5–30.[doi:10.1111/nyas.12977](http://dx.doi.org/10.1111/nyas.12977) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=26774031&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

40.  King BA , Gammon DG , Marynak KL , et al . Electronic cigarette sales in the United States, 2013-2017. JAMA 2018;320:1379–80.[doi:10.1001/jama.2018.10488](http://dx.doi.org/10.1001/jama.2018.10488) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1001/jama.2018.10488&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=30285167&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

41.  Dutra LM , Glantz SA , Lisha NE , et al . Beyond experimentation: five trajectories of cigarette smoking in a longitudinal sample of youth. PLoS One 2017;12:e0171808.[doi:10.1371/journal.pone.0171808](http://dx.doi.org/10.1371/journal.pone.0171808) pmid:http://www.ncbi.nlm.nih.gov/pubmed/28182748 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

42. US Department of Health and Human Services. Preventing tobacco use among youth and young adults: a report of the surgeon General. Atlanta, GA: 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.
    
    

43.  Schane RE , Ling PM , Glantz SA . Health effects of light and intermittent smoking: a review. Circulation 2010;121:1518–22.[doi:10.1161/CIRCULATIONAHA.109.904235](http://dx.doi.org/10.1161/CIRCULATIONAHA.109.904235) 
    
    [FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiRlVMTCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6ImNpcmN1bGF0aW9uYWhhIjtzOjU6InJlc2lkIjtzOjExOiIxMjEvMTMvMTUxOCI7czo0OiJhdG9tIjtzOjM2OiIvdG9iYWNjb2NvbnRyb2wvMjkvU3VwcGxfMy9zMjE2LmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 

44.  Agaku IT , Ayo-Yusuf OA , Vardavas CI , et al . Predictors and patterns of cigarette and smokeless tobacco use among adolescents in 32 countries, 2007-2011. J Adolesc Health 2014;54:47–53.[doi:10.1016/j.jadohealth.2013.07.037](http://dx.doi.org/10.1016/j.jadohealth.2013.07.037) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.jadohealth.2013.07.037&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=24060573&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

45.  Trapl ES , Yoder LD , Frank JL , et al . Individual, parental, and environmental correlates of cigar, Cigarillo, and little cigar use among middle school adolescents. Nicotine Tob Res 2016;18:834–41.[doi:10.1093/ntr/ntv201](http://dx.doi.org/10.1093/ntr/ntv201) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1093/ntr/ntv201&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=26385927&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

46.  Wheldon CW , Kaufman AR , Kasza KA , et al . Tobacco use among adults by sexual orientation: findings from the population assessment of tobacco and health study. LGBT Health 2018;5:33–44.[doi:10.1089/lgbt.2017.0175](http://dx.doi.org/10.1089/lgbt.2017.0175) 
    
    

47.  Rath JM , Villanti AC , Rubenstein RA , et al . Tobacco use by sexual identity among young adults in the United States. Nicotine Tob Res 2013;15:1822–31.[doi:10.1093/ntr/ntt062](http://dx.doi.org/10.1093/ntr/ntt062) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1093/ntr/ntt062&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=23680918&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

48.  Villanti AC , Cobb CO , Cohn AM , et al . Correlates of hookah use and predictors of hookah trial in U.S. young adults. Am J Prev Med 2015;48:742–6.[doi:10.1016/j.amepre.2015.01.010](http://dx.doi.org/10.1016/j.amepre.2015.01.010) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.amepre.2015.01.010&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=25890683&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

49.  Glasser AM , Johnson AL , Rose SW , et al . Correlates of cigar use by type and flavor among US young adults: 2011-2015. Tob Regul Sci 2017;3:59–71.[doi:10.18001/TRS.3.2(Suppl1).7](http://dx.doi.org/10.18001/TRS.3.2(Suppl1).7) 
    
    

50.  Cullen J , Mowery P , Delnevo C , et al . Seven-Year patterns in US cigar use epidemiology among young adults aged 18-25 years: a focus on race/ethnicity and brand. Am J Public Health 2011;101:1955–62.[doi:10.2105/AJPH.2011.300209](http://dx.doi.org/10.2105/AJPH.2011.300209) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.2105/AJPH.2011.300209&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=21852638&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000295657400035&link_type=ISI) 

51.  Doran N , Brikmanis K . Expectancies for and use of e-cigarettes and hookah among young adult non-daily smokers. Addict Behav 2016;60:154–9.[doi:10.1016/j.addbeh.2016.04.008](http://dx.doi.org/10.1016/j.addbeh.2016.04.008) 
    
    

52.  Castañeda G , Barnett TE , Soule EK , et al . Hookah smoking behavior initiation in the context of Millennials. Public Health 2016;137:124–30.[doi:10.1016/j.puhe.2016.02.013](http://dx.doi.org/10.1016/j.puhe.2016.02.013) 
    
    

53.  Arrazola RA , Kuiper NM , Dube SR . Patterns of current use of tobacco products among U.S. high school students for 2000-2012--findings from the National Youth Tobacco Survey. J Adolesc Health 2014;54:54–60.[doi:10.1016/j.jadohealth.2013.08.003](http://dx.doi.org/10.1016/j.jadohealth.2013.08.003) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1016/j.jadohealth.2013.08.003&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=24074604&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000329062400009&link_type=ISI) 

54.  Arrazola RA , Singh T , Corey CG , et al . Tobacco use among middle and high school students - United States, 2011-2014. MMWR Morb Mortal Wkly Rep 2015;64:381–5.pmid:http://www.ncbi.nlm.nih.gov/pubmed/25879896 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=25879896&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 

55.  Kasza K , Edwards KC , Tang Z , et al . Correlates of tobacco product initiation among youth and adults in the United States: findings from the path study waves 1-3 (2013-2016). Tob Control 2020;29:s191–202.
    
    [Abstract/FREE Full Text](http://tobaccocontrol.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6InRvYmFjY29jb250cm9sIjtzOjU6InJlc2lkIjtzOjE1OiIyOS9TdXBwbF8zL3MxOTEiO3M6NDoiYXRvbSI7czozNjoiL3RvYmFjY29jb250cm9sLzI5L1N1cHBsXzMvczIxNi5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

56.  Costello DM , Dierker LC , Jones BL , et al . Trajectories of smoking from adolescence to early adulthood and their psychosocial risk factors. Health Psychol 2008;27:811–8.[doi:10.1037/0278-6133.27.6.811](http://dx.doi.org/10.1037/0278-6133.27.6.811) pmid:http://www.ncbi.nlm.nih.gov/pubmed/19025277 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0278-6133.27.6.811&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=19025277&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000261024100017&link_type=ISI) 

57.  Chassin L , Presson CC , Pitts SC , et al . The natural history of cigarette smoking from adolescence to adulthood in a midwestern community sample: multiple trajectories and their psychosocial correlates. Health Psychol 2000;19:223–31.[doi:10.1037/0278-6133.19.3.223](http://dx.doi.org/10.1037/0278-6133.19.3.223) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1037/0278-6133.19.3.223&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10868766&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000087490400002&link_type=ISI) 

58.  Brook DW , Brook JS , Zhang C , et al . Developmental trajectories of cigarette smoking from adolescence to the early thirties: personality and behavioral risk factors. Nicotine Tob Res 2008;10:1283–91.[doi:10.1080/14622200802238993](http://dx.doi.org/10.1080/14622200802238993) 
    
    [CrossRef](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=10.1080/14622200802238993&link_type=DOI) 
    
    [PubMed](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=18686175&link_type=MED&atom=%2Ftobaccocontrol%2F29%2FSuppl_3%2Fs216.atom) 
    
    [Web of Science](http://tobaccocontrol.bmj.com/lookup/external-ref?access_num=000258265700003&link_type=ISI)