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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2018 Nov 14;15(11):2556. doi: 10.3390/ijerph15112556

Correlates of Transitions in Tobacco Product Use by U.S. Adult Tobacco Users between 2013–2014 and 2014–2015: Findings from the PATH Study Wave 1 and Wave 2

Karin A Kasza 1,*, Blair Coleman 2, Eva Sharma 3, Kevin P Conway 4, K Michael Cummings 5, Maciej L Goniewicz 1, Raymond S Niaura 6, Elizabeth Y Lambert 4, Liane M Schneller 1, Shari P Feirman 2, Elisabeth A Donaldson 2, Yu-Ching Cheng 2, Iilun Murphy 2, Jennifer L Pearson 6, Dennis R Trinidad 7, Maansi Bansal-Travers 1, Tara Elton-Marshall 8,9,10,11, Daniel A Gundersen 12,13, Cassandra A Stanton 3, David B Abrams 6, Geoffrey T Fong 14,15,16, Nicolette Borek 2, Wilson M Compton 4, Andrew J Hyland 1
PMCID: PMC6266124  PMID: 30441875

Abstract

More than half of adult tobacco users in the United States (U.S.) transitioned in tobacco product use between 2013–2014 and 2014–2015. We examine how characteristics of adult tobacco users in the U.S. relate to transitions in tobacco product use. Population Assessment of Tobacco and Health (PATH) Study data were analyzed from 12,862 adult current tobacco users who participated in Wave 1 (W1, 2013–2014) and Wave 2 (W2, 2014–2015). Three types of transitions were examined—(1) adding tobacco product(s); (2) switching to non-cigarette tobacco product(s); and (3) discontinuing all tobacco use—among those currently using: (1) any tobacco product; (2) cigarettes only (i.e., exclusive cigarette); and (3) cigarettes plus another tobacco product(s) (i.e., poly-cigarette). Multinomial logistic regression analyses determined relative risk of type of transition versus no transition as a function of demographic and tobacco use characteristics. Transitions in tobacco product use among adult tobacco users were common overall, but varied among different demographic groups, including by age, sex, sexual orientation, race/ethnicity, educational attainment, and poverty level. Further, cigarette smokers with higher dependence scores were more likely to add product(s) and less likely to discontinue tobacco use compared to those with low dependence scores. That high nicotine dependence is a barrier to discontinuing tobacco use adds evidence to support policy to lower nicotine content of cigarettes and to evaluate new products for their potential to reduce cigarette use.

Keywords: tobacco, transition, population, longitudinal, epidemiology, cigarettes, electronic nicotine delivery systems (ENDS), correlate, demographic, dependence

1. Introduction

As the tobacco product landscape in the United States (U.S.) expands [1,2,3] and prevalence of use of non-cigarette tobacco products increases [4,5,6], longitudinal data reveal that transitions in use of tobacco products are common among adult tobacco users in the U.S. That is, data from the Population Assessment of Tobacco and Health (PATH) Study indicate that over half of adult tobacco users transitioned in product use or combination of products used between 2013–2014 and 2014–2015, though cigarettes still remain the predominate type of tobacco product used by adults [7]. Understanding the population-level impact of the changing tobacco landscape requires determining both whether and how cigarette smokers and other tobacco product users transition in their product use over time, as well as whether transitions differ by demographic or tobacco use characteristics, such as frequency of use, number of products used, and indicators of nicotine dependence.

Prior research shows that age [7,8] and frequency of product use [9] are each associated with transitions in tobacco use, with younger adults and non-daily cigarette smokers being more likely to transition among tobacco products than their older adult and daily cigarette smoker counterparts. However, prior studies analyzing correlates of transitions among types of tobacco products have not considered the full range of new and emerging tobacco products available today, nor have they addressed a wider range of demographic characteristics that have historically been associated with tobacco use, such as race/ethnicity, sexual orientation, and socioeconomic status [10,11,12,13,14,15]. Additionally, a contemporary examination of how nicotine dependence relates to transitions in tobacco product use within the changing tobacco marketplace can help inform the U.S. Food and Drug Administration’s plan to reduce the addictiveness of cigarettes by limiting their nicotine content [16].

This paper characterizes the demographic correlates (i.e., age, sex, sexual orientation, race/ethnicity, educational attainment, and poverty level) and tobacco use correlates (i.e., total number of products used, nicotine dependence, and type and frequency of product used) of transitions in tobacco product use in the U.S. over a one-year period (i.e., 2013–2014 to 2014–2015). Using Wave 1 (W1) and Wave 2 (W2) data from the PATH Study, we report relative likelihood of various types of transitions as a function of demographic and tobacco use correlates among all adult current tobacco users at W1, among adult current cigarette smokers who were not current users of other tobacco products at W1, and among adult current cigarette smokers who were also current users of at least one other type of tobacco product at W1.

2. Materials and Methods

2.1. Study Population

The PATH Study is an ongoing, nationally-representative, longitudinal cohort study of tobacco use and health among adults and youths in the U.S. [17]. W1 data collection was conducted from 12 September 2013 through 14 December 2014 and W2 data collection was conducted from 23 October 2014 through 30 October 2015. The PATH Study recruitment employed a stratified address-based, area-probability sampling design at W1 that oversampled adult tobacco users, young adults (18 to 24 years), and African Americans. An in-person screener was used at W1 to select adults and youths from households for participation. At W1, the weighted response rate for the household screener was 54.0%. Among households that were screened, the overall weighted response rate for the adult interview was 74.0% at W1 and 83.2% at W2. Audio computer-assisted self-interviews (ACASI) administered in English or Spanish were used to collect self-report information on tobacco-use patterns and associated health behaviors. All adult participants provided informed consent.

Data from 12,862 adult tobacco users (18+ years of age in W1) who participated in both W1 and W2 were used for this analysis. The weighted estimates presented here are representative of the non-institutionalized, civilian U.S. adult population through use of the probability sample and application of population and replicate weights that adjust for the complex study design characteristics (e.g., oversampling at W1) and nonresponse at W1 and W2. Nonresponse bias analyses for W1 and W2 are available at http://doi.org/10.3886/ICPSR36231 [18]. Further details regarding the PATH Study design and methods are published elsewhere [17]. Details on survey interview procedures, questionnaires, sampling, weighting, and information on accessing the data are available at http://www.icpsr.umich.edu/icpsrweb/NAHDAP/series/00606 [19]. The study was conducted by Westat and approved by the Westat institutional review board (IRB Organization number IORG0000410, IRB number 00000695).

2.2. Measures

2.2.1. Types of Tobacco Products

Participants were provided with brief descriptions and pictures of 10 types of tobacco products (except cigarettes) and were asked about their use of the products at each wave, which were grouped for analysis into six types: cigarettes, ENDS (e-cigarettes at W1, and e-cigarettes, e-cigars, e-pipes, and e-hookah at W2), cigars (i.e., traditional cigars, cigarillos, filtered cigars), pipe tobacco, hookah, and smokeless tobacco (i.e., loose snus, moist snuff, dip, spit, chewing tobacco, snus pouches, dissolvable tobacco). At W2, non-cigarette tobacco product types were additionally grouped into combustible products (i.e., cigars, pipe tobacco, and hookah) and non-combustible products (i.e., ENDS and smokeless tobacco).

2.2.2. Current Use of Tobacco Products

At each wave, and for each type of tobacco product, participants were asked whether they now use the product every day, some days, or not at all. For hookah, participants were additionally asked whether they now use usually weekly or usually monthly. Current use at each wave was defined for cigarettes as having smoked at least 100 cigarettes in their lifetime and now smoking every day or somedays; for hookah as now smoking every day or somedays (including those who responded some days, usually weekly, or usually monthly; no threshold for units used); and for all other tobacco products as now smoking/using every day or somedays (no threshold for units used). For each tobacco product, a three-level current use variable was created to indicate daily use, someday use, or no use based on the criteria described above. The total number of products currently used was also calculated (complete data required).

2.2.3. Tobacco Product User Groups

Tobacco product user groups were defined as follows: Any tobacco, defined as current use of any tobacco product(s); Non-cigarette tobacco, defined as current use of at least one tobacco product and no current use of cigarettes; Exclusive cigarettes, defined as current use of cigarettes and no current use of any other tobacco product; Poly-cigarettes, defined as current use of cigarettes and current use of at least one other tobacco product; Cigarettes plus ENDS, defined as current use of cigarettes and current use of ENDS (may also currently use any other tobacco product); Cigarettes plus combustible, defined as current use of cigarettes and current use of at least one other combustible tobacco product (may also currently use any non-combustible tobacco product); Cigarettes plus non-combustible, defined as current use of cigarettes and current use of at least one non-combustible tobacco product and no current use of any combustible tobacco product; No cigarettes and no ENDS, defined as no current use of cigarettes and no current use of ENDS (may currently use any other tobacco product); No tobacco, defined as no current use of any tobacco product. Some of these user groups overlap with each other to allow for the assessment of variations in user groups and transitions among them.

2.2.4. Nicotine Dependence

Sixteen items assessing symptoms of nicotine dependence were included in the PATH Study. Responses to these items were combined and scaled to produce an overall nicotine dependence score as described and validated by Strong and colleagues [20].

2.2.5. Transitions in Tobacco Product Use

Transitions in tobacco product use were determined among each of the following three tobacco user groups at W1 as defined above: any tobacco users, exclusive cigarette smokers, and poly-cigarette smokers. Among W1 any tobacco users (N = 12,862), transitions in tobacco product use between waves were determined using three mutually exclusive transition groups: (1) no transition, defined as current use of the exact same tobacco product(s) at W1 and W2; (2) transition among tobacco product(s), defined as any difference in current use of tobacco product(s) at W1 and W2 (i.e., any transition in type of product(s) used, which could result in an increase, decrease, or no change in number of products used) except for the case of no current tobacco use at W2; and (3) discontinue tobacco use, defined as no current tobacco use at W2.

Among W1 exclusive cigarette smokers, transitions in tobacco product use between waves were determined with two sets of analyses: first, transitions were determined only with respect to ENDS using four mutually exclusive transition groups (N = 4893): (1) no transition, defined as cigarette use at W2 and no ENDS use at W2 (may use any other tobacco product at W2); (2) transition to cigarettes plus ENDS use; (3) switch to ENDS use, defined as ENDS use at W2 and no cigarette use at W2 (may use any other tobacco product at W2); and (4) transition to no cigarette use and no ENDS use at W2. Second, transitions in tobacco product use among exclusive cigarette smokers at W1 were determined with respect to all tobacco products using five mutually exclusive transition groups (N = 4846): (1) no transition, defined as exclusive cigarette use at W2; (2) transition to cigarettes plus combustible use; (3) transition to cigarettes plus non-combustible use; (4) switch to non-cigarette tobacco use; and (5) discontinue tobacco use.

Among W1 poly-cigarette smokers (N = 3946), transitions in tobacco product use between waves were determined using four mutually exclusive transition groups: (1) no transition, defined as poly-cigarette use at W2 (which may reflect the same or different combinations of products used at W2 as were used at W1); (2) transition to exclusive cigarette use; (3) transition to non-cigarette tobacco use; and (4) discontinue tobacco use.

2.2.6. Demographic Characteristics

At W1, participants were categorized according to age group (i.e., 18–24, 25–39, 40–54, 55+), sex (male, female), sexual orientation (i.e., heterosexual/straight, gay/lesbian/bisexual/something else), race/ethnicity (i.e., non-Hispanic white, non-Hispanic black or African American, non-Hispanic other, Hispanic), educational attainment (i.e., less than high school or GED, high school graduate, some college (no degree) or Associates degree, Bachelor’s degree or more), and household poverty level (i.e., below poverty level, at or near poverty level, at or above twice the poverty level, not reported). Missing data on race, ethnicity and education were imputed as described in the PATH Study Restricted Use Files User Guide (available at http://www.icpsr.umich.edu/icpsrweb/ NAHDAP/series/00606) [19].

2.3. Statistical Analysis

Rates of transitions in tobacco product use between waves were determined among (1) any tobacco users at W1; (2) exclusive cigarette smokers at W1; and (3) poly-cigarette smokers at W1. For each of these three user groups at W1, transition rates were also stratified by demographic characteristics (i.e., age group, sex, sexual orientation, race/ethnicity, educational attainment, and household poverty level), and tobacco use variables assessed at W1 (i.e., total number of products currently used (not relevant for exclusive cigarette smokers), nicotine dependence (stratified into quartiles), and type and frequency of products currently used (i.e., no use, someday use, daily use)). These stratification variables are hereafter referred to as “correlates”.

Multinomial logistic regression analyses were used to determine the relative risk of being categorized into each transition group versus the “no transition” group as a function of correlates, using two models: Model 1 was adjusted for demographic variables only, and Model 2 was adjusted for all correlates (Model 1 consisted of separate analyses such that the analysis for each correlate was adjusted for demographic correlates only; Model 2 consisted of a single model that included all correlates at once). Analyses were conducted with Stata 14 software [21]. Estimates were weighted to represent the U.S. adult population and variances were estimated using the balanced repeated replication (BRR) method [22] with Fay’s adjustment set to 0.3 to increase estimate stability [23]. The logit-transformation method was used to calculate standard errors for the proportions. Estimates based on a sample size of less than 50 or with a relative standard error of greater than 30% are flagged in the tables.

3. Results

3.1. Any Tobacco User at W1

Table 1 shows rates and relative likelihood of transitions in tobacco product use among those using any tobacco at W1, stratified by correlates, and relative risk ratios (RRR) indicate the relative probabilities of being in each transition group versus the “no transition” group as a function of correlates assessed at W1. Overall, 47.9% of tobacco users did not transition in use of tobacco product(s), 37.6% transitioned among tobacco product(s), and 14.5% discontinued tobacco use.

Table 1.

Correlates of transitions in tobacco product use among ‘any tobacco’ users at Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study ⱡ

Transitions Assessed between W1 & Wave 2 (W2)
No transition (i.e., use the exact same tobacco product(s) at W2 as used at W1; referent group) Transition among tobacco product(s) (i.e., any difference in use of tobacco product(s) at W1 and W2 except for the case of no tobacco use at W2) Discontinue tobacco use (i.e., no use of any tobacco product at W2)
Model 1 1 Model 2 2 Model 1 1 Model 2 2
Correlates assessed at W1 N % SE N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
Overall 5947 47.9 0.55 5111 37.6 0.50 1804 14.5 0.37
Age group
18–24 942 27.0 0.84 1842 41.9 0.92 ref ref 689 21.2 0.94 ref ref
25–39 1745 43.9 0.89 1611 41.8 0.87 0.5
(0.5–0.6)
0.7
(0.6–0.8)
524 14.3 0.70 0.4
(0.3–0.5)
0.9
(0.7–1.1)
40–54 1776 55.3 0.98 1079 33.6 0.85 0.3
(0.3–0.4)
0.5
(0.5–0.6)
316 11.1 0.64 0.3
(0.2–0.3)
0.7
(0.6–0.9)
55+ 1483 63.0 1.14 578 23.8 1.00 0.2
(0.2–0.2)
0.4
(0.3–0.4)
275 13.3 0.86 (0.2–0.4) 0.8
(0.6–1.0)
Sex
Male 3177 45.8 0.74 3071 39.8 0.67 ref ref 968 14.3 0.50 ref ref
Female 2768 51.0 0.87 2040 34.2 0.81 0.7
(0.7–0.8)
0.9
(0.8–1.1)
834 14.7 0.52 0.9
(0.8–1.1)
1.3
(1.1–1.5)
Sexual orientation
Heterosexual/Straight 5500 48.7 0.57 4526 37.0 0.52 ref ref 1614 14.3 0.38 ref ref
Gay/lesbian/bisexual/something else 361 36.2 1.75 519 47.7 1.73 1.5
(1.3–1.8)
1.2
(1.0–1.5)
157 16.1 1.42 1.3
(1.0–1.6)
1.3
(1.0–1.8)
Race/ethnicity
Non-Hispanic White 4052 50.0 0.68 3226 37.1 0.61 ref ref 1009 12.9 0.43 ref ref
Non-Hispanic Black or African American 839 48.7 1.51 692 37.0 1.37 1.0
(0.8–1.1)
0.9
(0.8–1.1)
266 14.3 1.22 1.3
(1.0–1.6)
0.9
(0.7–1.1)
Non-Hispanic other 393 40.7 1.97 436 40.9 2.07 1.1
(0.9–1.4)
0.9
(0.7–1.2)
141 18.4 1.43 1.5
(1.2–1.8)
1.2
(0.9–1.5)
Hispanic 663 38.6 1.17 757 39.4 1.45 1.1
(0.9–1.2)
1.0
(0.9–1.2)
388 22.0 1.32 2.2
(1.8–2.6)
1.1
(0.9–1.4)
Educational attainment
Less than high school or GED 1490 49.7 1.13 1326 40.7 1.13 ref ref 284 9.6 0.61 ref ref
High school graduate 1460 50.0 1.01 1282 37.6 1.03 0.9
(0.8–1.0)
0.9
(0.8–1.1)
395 12.5 0.59 1.2
(1.0–1.5)
1.0
(0.8–1.2)
Some college (no degree) or associates degree 2126 45.6 0.86 1922 38.9 0.76 1.0
(0.9–1.1)
0.9
(0.8–1.0)
731 15.5 0.59 1.6
(1.3–2.0)
1.1
(0.8–1.3)
Bachelor’s degree or more 871 46.8 1.34 581 30.6 1.11 0.8
(0.7–1.0)
0.7
(0.6–0.9)
394 22.7 1.13 2.5
(2.0–3.2)
0.9
(0.7–1.2)
Poverty level
Below poverty level 1919 43.8 0.98 2068 43.6 0.83 ref ref 582 12.6 0.62 ref ref
At or near poverty level 1467 49.9 0.84 1159 37.3 0.86 0.9
(0.8–1.0)
1.0
(0.8–1.1)
377 12.9 0.67 1.0
(0.8–1.2)
1.0
(0.8–1.3)
At or above twice the poverty level 2097 49.2 0.89 1511 33.8 0.80 0.8
(0.7–1.0)
0.9
(0.8–1.1)
701 17.0 0.66 1.2
(1.0–1.4)
1.0
(0.8–1.3)
Not reported 464 51.8 2.03 373 33.5 1.75 0.7
(0.6–0.9)
0.9
(0.7–1.1)
144 14.8 1.37 1.0
(0.8–1.4)
1.0
(0.7–1.5)
Total number of products currently used
1 product 4843 62.5 0.66 1708 20.2 0.53 ref ref 1323 17.3 0.53 ref ref
2 or more products 1104 24.5 0.78 3219 66.7 0.94 7.4
(6.6–8.3)
3.9
(3.0–5.0)
418 8.8 0.55 1.1
(1.0–1.3)
1.2
(0.8–1.8)
Nicotine dependence 3
1st quartile 1200 37.1 0.89 1101 29.5 0.80 ref ref 1086 33.3 0.82 ref ref
2nd quartile 1468 52.0 1.08 1205 37.9 1.05 1.0
(0.9–1.2)
1.2
(1.0–1.4)
308 10.1 0.59 0.2
(0.2–0.3)
0.5
(0.4–0.7)
3rd quartile 1771 53.4 1.07 1411 40.6 1.02 1.2
(1.0–1.3)
1.4
(1.2–1.7)
192 6.0 0.52 0.2
(0.1–0.2)
0.5
(0.4–0.7)
4th quartile 1411 51.4 1.10 1280 44.1 1.13 1.4
(1.3–1.7)
1.5
(1.3–1.9)
125 4.5 0.45 0.1
(0.1–0.2)
0.4
(0.3–0.6)
Current use of cigarettes
No use 1469 39.7 0.90 1390 31.6 0.76 ref ref 1142 28.8 0.83 ref ref
Someday use 772 43.9 1.25 711 36.3 1.21 1.1
(0.9–1.2)
0.8
(0.6–1.1)
339 19.8 1.13 0.6
(0.5–0.7)
0.7
(0.5–1.0)
Daily use 3706 53.7 0.74 3002 41.4 0.72 1.2
(1.0–1.3)
0.8
(0.6–1.0)
322 4.9 0.30 0.1
(0.1–0.2)
0.2
(0.1–0.3)
Current use of ENDS
No use 5156 53.1 0.62 3340 31.5 0.55 ref ref 1486 15.4 0.43 ref ref
Someday use 535 24.1 1.00 1477 63.5 1.08 4.4
(3.8–5.0)
1.6
(1.2–2.1)
277 12.4 0.75 1.7
(1.4–2.0)
1.4
(1.0–1.9)
Daily use 256 46.1 2.39 287 47.6 2.27 1.9
(1.5–2.3)
1.1
(0.8–1.6)
36 6.3 1.09 0.5
(0.4–0.8)
0.3
(0.2–0.5)
Current use of traditional cigars/cigarillos/filtered cigars
No use 5033 57.5 0.62 2757 29.3 0.56 ref ref 1166 13.2 0.42 ref ref
Someday use 772 25.8 0.94 1980 56.4 1.05 4.2
(3.8–4.8)
2.0
(1.6–2.5)
546 17.9 0.74 2.8
(2.4–3.2)
1.4
(1.1–1.9)
Daily use 142 33.6 2.69 267 55.6 2.66 3.7
(2.8–4.9)
1.6
(1.2–2.2)
53 10.9 1.67 1.7
(1.1–2.5)
1.1(0.7–1.8)
Current use of pipe
No use 5864 49.3 0.57 4690 36.2 0.49 ref ref 1740 14.5 0.40 ref ref
Someday use 65 14.6 1.86 385 70.6 2.50 6.2
(4.4–8.7)
2.1
(1.4–3.3)
60 14.8 2.00 3.3
(2.1–5.2)
1.7
(1.1–2.8)
Daily use 18 40.7 7.14 28 55.3 7.98 2.4
(1.3–4.5)
1.4
(0.6–3.3)
2 4.0 2.76 0.4
(0.1–2.2)
0.3
(0.0–1.7)
Current use of hookah
No use 5577 54.1 0.61 3649 33.5 0.52 ref ref 1208 12.4 0.35 ref ref
Someday use 361 15.6 0.86 1430 59.1 1.31 4.4
(3.8–5.1)
2.7
(2.1–3.5)
585 25.4 1.07 4.3
(3.6–5.1)
2.3
(1.6–3.3)
Daily use 9 21.9 6.80 29 62.2 7.79 3.5
(1.3–9.3)
1.7
(0.6–5.1)
7 15.9 6.30 2.2
(0.8–8.4)
1.1
(0.2–5.6)
Current use of smokeless/snus pouches/dissolvable
No use 5276 48.6 0.58 4267 36.3 0.54 ref ref 1636 15.1 0.39 ref ref
Someday use 180 25.5 1.76 516 62.4 1.93 2.8
(2.3–3.4)
1.6
(1.3–2.0)
92 12.1 1.27 1.4
(1.1–1.9)
1.1
(0.8–1.6)
Daily use 491 62.9 1.76 267 28.9 1.59 0.6
(0.5–0.7)
0.6
(0.5–0.7)
59 8.2 1.18 0.5
(0.3–0.6)
0.4
(0.2–0.5)

Table 1 notes. Sample includes adults aged 18+ years who were ‘any tobacco’ users at W1 and also participated in W2 (N = 12,862); analyses weighted using W2 longitudinal weights. Results from multinomial logistic regression analyses indicate the relative probability of being in each W2 transition group vs the W2 ‘no transition’ group as a function of correlates assessed at W1. Current use at each wave defined for cigarettes as having smoked at least 100 cigarettes in lifetime and now smoking everyday or somedays; for hookah as now using everyday, somedays, or monthly; for all other products as now using everyday or somedays. Bold font indicates significant association at α = 0.05; grey shaded cells indicate unstable estimate due to denominator <50 or relative standard of the estimate >30%. 1 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, and poverty level. 2 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, poverty level, total number of products used, nicotine dependence, and type and frequency of product used. 3 Mean cumulative nicotine dependence score; quartiles determined among W1 ‘any tobacco’ users.

3.1.1. Correlates of Transitions among Tobacco Product(s)

Young adults (i.e., those aged 18–24 years) were about five times more likely to transition among tobacco product(s) versus not transition than were adults aged 55+ years (Table 1, Model 1, RRR = 0.2, 95% CI = 0.2–0.2), and were more than twice as likely to transition after adjustment for tobacco use correlates (Model 2). Those identifying as gay/lesbian/bisexual/something else were 20% more likely to transition among tobacco product(s) than those identifying as heterosexual/straight after adjustment for all correlates (Table 1, Model 2, RRR = 1.2, 95% CI = 1.0–1.5). Tobacco users with higher nicotine dependence at W1 were more likely to transition among tobacco product(s) versus not transition than were those with nicotine dependence in the first quartile at W1 after adjustment for all correlates (Table 1, Model 2). Poly-tobacco users at W1 were about four times more likely to transition among tobacco product(s) versus not transition than were exclusive tobacco users at W1 after adjustment for all correlates (Table 1, Model 2, RRR = 3.9, 95% CI = 3.0–5.0).

Someday users versus non-users were more likely to transition among tobacco product(s) across models for each type of tobacco product except cigarettes, and those who were daily users versus non-users of smokeless tobacco were less likely to transition among tobacco product(s) (Table 1, Models 1–2).

3.1.2. Correlates of Discontinuing Tobacco Use

Young adults were more likely to discontinue tobacco use versus not transition than were older adults (Table 1, Model 1); however, the strength of this association was reduced/disappeared after adjustment for tobacco use correlates (Table 1, Model 2). Those identifying as gay/lesbian/bisexual/something else were 30% more likely to discontinue tobacco use than those identifying as heterosexual/straight after adjustment for all correlates (Table 1, Model 2, RRR = 1.3, 95% CI = 1.0–1.8). Tobacco users with higher nicotine dependence at W1 were less likely to discontinue tobacco use versus not transition than were those with nicotine dependence in the first quartile, and those who were daily users versus non-users of cigarettes, ENDS, or smokeless tobacco were also less likely to discontinue tobacco use, whereas those who were someday users versus non-users of cigars, pipe tobacco, or hookah were more likely to discontinue tobacco use regardless of adjustments (Table 1, Models 1–2). Associations for other demographic and tobacco use correlates among any tobacco users are shown in Table 1.

3.2. Exclusive Cigarette Smokers at W1

Table 2 and Table 3 show rates and relative likelihood of transitions in tobacco product use among exclusive cigarette smokers at W1, as a function of correlates assessed at W1, using two separate approaches to transitions: Table 2 shows transitions only with respect to ENDS and Table 3 shows transitions with respect to all tobacco products.

Table 2.

Correlates of transitions in tobacco product use among ‘exclusive cigarette’ smokers at Wave 1 (W1); transitions defined only with respect to cigarettes and Electronic Nicotine Delivery Systems (ENDS) use ⱡ.

Transitions Assessed between W1 & Wave 2 (W2)
No transition a (i.e., cigarette use at W2, no ENDS use at W2; referent group) Transition to cigarettes plus ENDS use (i.e., cigarette use at W2 and ENDS use at W2) Switch to ENDS use (i.e., no cigarette use at W2, ENDS use at W2) Transition to no cigarette and no ENDS use (i.e., no cigarette use at W2, no ENDS use at W2)
Model 1 1 Model 2 2 Model 1 1 Model 2 2 Model 1 1 Model 2 2
Correlates assessed at W1 N % SE N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
Overall 3846 78.2 0.66 558 11.2 0.52 75 1.5 0.20 414 9.1 0.46
Age group
18–24 489 70.9 1.72 104 15.3 1.49 ref ref 12 1.9 0.61 ref ref 74 12.0 1.20 ref ref
25–39 1166 75.1 1.28 189 13.0 1.05 0.8
(0.6–1.1)
0.8
(0.6–1.0)
38 2.5 0.46 1.2
(0.5–2.7)
1.1
(0.5–2.5)
134 9.5 0.97 0.7
(0.5–0.9)
0.8
(0.6–1.1)
40–54 1186 79.9 1.23 189 12.0 0.98 0.7
(0.6–1.0)
0.7
(0.5–0.9)
14 1.0 0.28 0.4
(0.2–1.2)
0.4
(0.1–1.1)
99 7.1 0.86 0.5
(0.3–0.7)
0.8
(0.5–1.1)
55+ 1005 82.3 1.28 76 6.6 0.74 0.4
(0.3–0.6)
0.4
(0.3–0.5)
11 0.9 0.31 0.4
(0.2–1.1)
0.4
(0.1–1.1)
107 10.1 1.07 0.7
(0.5–1.0)
1.1
(0.8–1.7)
Sex
Male 1708 79.3 0.90 207 9.7 0.70 ref ref 40 1.8 0.30 ref ref 182 9.2 0.72 ref ref
Female 2138 77.2 0.97 351 12.6 0.73 1.3
(1.1–1.6)
1.3
(1.0–1.6)
35 1.2 0.25 0.6
(0.4–1.1)
0.6
(0.4–1.0)
231 9.0 0.69 1.1
(0.8–1.4)
1.1
(0.8–1.5)
Sexual orientation
Heterosexual/Straight 3544 78.5 0.69 495 10.8 0.52 ref ref 72 1.6 0.22 ref ref 377 9.1 0.48 ref ref
Gay/lesbian/bisexual/something else 239 71.9 3.05 58 18.0 2.57 1.6
(1.1–2.4)
1.6
(1.1–2.3)
2 0.3 0.25 0.2
(0.0–1.3)
0.2
(0.0–1.3)
30 9.9 2.13 1.1
(0.7–1.9)
1.4
(0.8–2.3)
Race/ethnicity
Non-Hispanic White 2519 77.2 0.77 421 12.3 0.63 ref ref 60 1.8 0.29 ref ref 258 8.6 0.53 ref ref
Non-Hispanic Black or African American 639 86.1 1.43 46 6.5 1.00 0.5
(0.3–0.7)
0.5
(0.4–0.8)
5 0.8 0.37 0.5
(0.1–1.5)
0.5
(0.1–1.5)
49 6.6 1.18 0.8
(0.6–1.2)
0.6
(0.4–0.9)
Non-Hispanic other 233 69.8 3.37 37 13.3 2.50 1.1
(0.7–1.9)
1.2
(0.7–2.0)
4 0.6 0.32 0.3
(0.1–1.2)
0.3
(0.1–1.3)
35 16.3 2.63 1.9
(1.3–2.9)
1.5
(1.0–2.3)
Hispanic 455 78.8 1.85 54 8.3 1.24 0.7
(0.5–0.9)
0.8
(0.6–1.1)
6 1.0 0.35 0.6
(0.2–1.4)
0.6
(0.2–1.5)
72 11.9 1.54 1.6
(1.1–2.2)
0.9
(0.6–1.2)
Educational attainment
Less than high school or GED 1160 81.4 1.06 157 10.9 0.91 ref ref 13 0.8 0.26 ref ref 86 6.9 0.82 ref ref
High school graduate 981 79.6 1.13 142 10.8 0.96 0.9
(0.7–1.2)
1.0
(0.8–1.3)
14 1.2 0.36 1.4
(0.6–3.4)
1.4
(0.6–3.5)
101 8.3 0.71 1.2
(0.9–1.6)
1.0
(0.7–1.3)
Some college (no degree) or associates degree 1313 76.5 1.22 202 11.6 0.88 0.9
(0.7–1.3)
1.0
(0.7–1.3)
40 2.4 0.42 2.5
(1.1–5.7)
2.5
(1.1–5.7)
152 9.4 0.85 1.3
(0.9–1.8)
1.0
(0.7–1.4)
Bachelor’s degree or more 392 71.8 2.19 57 11.3 1.34 1.0
(0.7–1.4)
1.1
(0.8–1.6)
8 1.3 0.41 1.5
(0.5–4.0)
1.6
(0.5–4.6)
75 15.6 1.79 2.0
(1.3–2.9)
1.0
(0.7–1.6)
Poverty level
Below poverty level 1421 80.0 1.04 205 11.3 0.80 ref ref 23 1.2 0.19 ref ref 125 7.6 0.72 ref ref
At or near poverty level 1025 79.9 1.18 147 11.2 0.92 1.0
(0.8–1.4)
1.0
(0.8–1.4)
23 1.8 0.41 1.3
(0.7–2.2)
1.2
(0.7–2.1)
93 7.1 0.81 0.9
(0.7–1.3)
1.0
(0.7–1.4)
At or above twice the poverty level 1091 74.7 1.37 165 11.4 1.01 1.1
(0.8–1.5)
1.1
(0.8–1.5)
26 1.9 0.41 1.2
(0.7–2.2)
1.3
(0.7–2.3)
160 12.1 0.97 1.5
(1.1–2.1)
1.5
(1.1–2.1)
Not reported 309 79.6 2.46 41 10.1 1.76 1.0
(0.7–1.6)
1.1
(0.7–1.7)
3 0.6 0.36 0.6
(0.1–2.7)
0.6
(0.1–2.9)
36 9.7 1.77 1.3
(0.8–2.1)
1.4
(0.8–2.3)
Nicotine dependence 3
1st quartile 915 72.5 1.37 95 6.5 0.79 ref ref 19 1.5 0.33 ref ref 229 19.6 1.19 ref ref
2nd quartile 932 80.4 1.31 128 11.2 0.98 1.6
(1.1–2.2)
1.4
(0.9–2.0)
15 1.3 0.35 0.9
(0.4–2.0)
0.8
(0.3–1.8)
79 7.2 0.97 0.3
(0.2–0.5)
0.5
(0.4–0.8)
3rd quartile 993 78.7 1.21 184 14.8 1.02 2.1
(1.5–2.9)
1.8
(1.2–2.5)
24 2.0 0.48 1.4
(0.7–3.0)
1.2
(0.5–2.7)
51 4.5 0.64 0.2
(0.2–0.3)
0.4
(0.3–0.7)
4th quartile 951 81.6 1.24 149 12.8 1.08 1.8
(1.2–2.5)
1.5
(1.0–2.2)
16 1.4 0.39 1.0
(0.4–2.5)
0.9
(0.3–2.3)
48 4.2 0.72 0.2
(0.1–0.3)
0.4
(0.3–0.6)
Current use of cigarettes
Someday use 627 67.9 1.77 60 6.0 0.85 ref ref 14 1.3 0.30 ref ref 209 24.8 1.62 ref ref
Daily use 3219 80.6 0.68 498 12.4 0.59 1.9
(1.3–2.7)
1.5
(1.0–2.2)
61 1.6 0.25 1.4
(0.7–2.6)
1.4
(0.7–2.7)
205 5.5 0.43 0.2
(0.1–0.2)
0.3
(0.2–0.4)

Table 2 notes. Sample includes adults aged 18+ years who were ‘exclusive cigarette’ smokers at W1 and also participated in W2 (N = 4893); analyses weighted using W2 longitudinal weights. Results from multinomial logistic regression analyses indicate the relative probability of being in each W2 transition group vs the W2 ‘no transition’ group as a function of correlates assessed at W1. Current use at each wave defined for cigarettes as having smoked at least 100 cigarettes in lifetime and now smoking everyday or somedays; for hookah as now using everyday, somedays, or monthly; for all other products as now using everyday or somedays. ‘Exclusive cigarette’ use defined as current use of cigarettes and no current use of any other tobacco product. Bold font indicates significant association at α = 0.05; grey shaded cells indicate unstable estimate due to denominator <50 or relative standard of the estimate >30%. 1 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, and poverty level. 2 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, poverty level, tobacco dependence, and frequency of cigarette use. 3 Mean cumulative tobacco dependence score; quartiles determined among W1 ‘exclusive cigarette’ smokers. a No transition is defined only with respect to cigarettes and ENDS use; therefore, no transition may include adding combustible or smokeless tobacco products(s) at W2.

Table 3.

Correlates of transitions in tobacco product use among ‘exclusive cigarette’ smokers at Wave 1 (W1); transitions defined with respect to all tobacco products ⱡ.

Transitions Assessed between W1 & Wave 2 (W2)
No transition a (i.e., exclusive cigarette use at W2; referent group) Transition to cigarettes plus combustible use (i.e., cigarette use and use of at least one other combustible tobacco product at W2; may also use any non-combustible tobacco product(s) at W2) Transition to cigarettes plus non-combustible use only (i.e., cigarette use and use of at least one non-combustible tobacco product at W2; does not use any combustible tobacco product at W2) Switch to non-cigarette tobacco use (i.e., no cigarette use at W2, but use of any other tobacco product at W2) Discontinue tobacco use (i.e., no use of any tobacco product at W2)
Model 1 1 Model 2 2 Model 1 1 Model 2 2 Model 1 1 Model 2 2 Model 1 1 Model 2 2
Correlates assessed at W1 N % SE N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
Overall 3524 72.8 0.70 341 6.3 0.39 496 10.3 0.55 92 1.9 0.20 393 8.7 0.45
Age group
18–24 404 60.8 2.01 91 13.2 1.31 ref ref 77 11.9 1.37 ref ref 17 2.7 0.73 ref ref 67 11.4 1.31 ref ref
25–39 1064 69.5 1.31 107 6.7 0.68 0.5
(0.3–0.6)
0.4
(0.3–0.6)
170 12.0 1.05 0.9
(0.7–1.3)
0.9
(0.6–1.2)
43 2.9 0.53 0.9
(0.4–1.9)
0.9
(0.4–1.8)
127 8.9 0.93 0.6
(0.4–0.8)
0.8
(0.5–1.1)
40–54 1109 74.7 1.25 88 5.9 0.71 0.4
(0.3–0.6)
0.4
(0.3–0.6)
174 11.3 1.03 0.8
(0.6–1.1)
0.7
(0.5–1.0)
16 1.2 0.27 0.3
(0.1–0.8)
0.3
(0.1–0.7)
97 7.0 0.84 0.5
(0.3–0.7)
0.7
(0.5–1.1)
55+ 947 78.1 1.27 55 4.2 0.68 0.3
(0.2–0.4)
0.3
(0.2–0.4)
75 6.7 0.72 0.5
(0.3–0.7)
0.4
(0.3–0.6)
16 1.4 0.34 0.4
(0.2–0.8)
0.4
(0.2–0.8)
102 9.6 1.05 0.6
(0.4–1.0)
1.1
(0.7–1.6)
Sex
Male 1513 71.6 0.99 192 8.2 0.64 ref ref 189 9.2 0.72 ref ref 49 2.3 0.32 ref ref 172 8.8 0.69 ref ref
Female 2011 73.9 0.99 149 4.6 0.37 0.5
(0.4–0.7)
0.5
(0.4–0.6)
307 11.4 0.74 1.2
(0.9–1.4)
1.1
(0.9–1.4)
43 1.6 0.30 0.7
(0.4–1.1)
0.6
(0.4–1.1)
220 8.6 0.67 1.0
(0.8–1.3)
1.1
(0.8–1.4)
Sexual orientation
Heterosexual/Straight 3262 73.2 0.73 299 6.0 0.39 ref ref 443 10.1 0.58 ref ref 88 2.0 0.22 ref ref 358 8.7 0.47 ref ref
Gay/lesbian/bisexual/something else 205 63.2 3.17 36 11.1 2.07 2.0
(1.2–3.2)
2.0
(1.2–3.3)
49 15.8 2.52 1.7
(1.1–2.5)
1.6
(1.1–2.5)
3 0.6 0.34 0.3
(0.1–1.2)
0.3
(0.1–1.3)
28 9.4 2.09 1.2
(0.7–2.0)
1.5
(0.9–2.5)
Race/ethnicity
Non-Hispanic White 2332 72.2 0.78 198 5.7 0.45 ref ref 387 11.8 0.67 ref ref 68 2.1 0.28 ref ref 246 8.3 0.53 ref ref
Non-Hispanic Black or African American 563 78.2 1.81 77 9.3 1.06 1.3
(1.0–1.7)
1.4
(1.0–1.9)
33 4.9 0.84 0.4
(0.3–0.6)
0.4
(0.3–0.7)
11 1.6 0.53 0.8
(0.4–1.9)
0.9
(0.4–2.0)
44 6.0 1.10 0.8
(0.5–1.2)
0.6
(0.4–0.9)
Non-Hispanic other 209 64.8 3.53 27 7.2 1.60 1.2
(0.7–2.1)
1.2
(0.7–2.1)
30 10.9 2.36 1.0
(0.6–1.7)
1.1
(0.6–1.8)
6 2.0 1.29 0.9
(0.2–3.9)
0.9
(0.2–3.8)
33 15.1 2.66 1.9
(1.2–2.9)
1.5
(0.9–2.3)
Hispanic 420 73.7 2.11 39 6.0 1.15 0.8
(0.5–1.4)
0.9
(0.5–1.5)
46 7.5 1.18 0.6
(0.4–2.9)
0.7
(0.5–1.1)
7 1.1 0.38 0.6
(0.2–1.3)
0.6
(0.3–1.3)
70 11.7 1.55 1.6
(1.1–2.2)
0.9
(0.6–1.3)
Educational attainment
Less than high school or GED 1042 74.1 1.12 116 7.8 0.74 ref ref 145 10.3 0.82 ref ref 16 1.1 0.28 ref ref 83 6.7 0.79 ref ref
High school graduate 907 74.6 1.34 80 6.0 0.81 0.8(0.6–1.2) 0.9
(0.6–1.3)
123 10.1 1.00 0.9
(0.7–1.1)
0.9
(0.7–1.2)
19 1.7 0.40 1.4
(0.7–2.9)
1.4
(0.7–3.0)
93 7.7 0.74 1.1
(0.8–1.5)
0.9
(0.6–1.2)
Some college (no degree) or associates degree 1208 71.9 1.29 112 5.6 0.64 0.8
(0.6–1.1)
0.8
(0.6–1.2)
178 10.6 0.94 0.9
(0.7–1.2)
0.9
(0.7–1.2)
45 2.7 0.43 2.1
(1.1–4.3)
2.1
(1.0–4.2)
146 9.2 0.87 1.2
(0.9–1.8)
0.9
(0.6–1.3)
Bachelor’s degree or more 367 67.2 2.20 33 6.0 1.18 1.1
(0.7–1.7)
1.1
(0.7–1.9)
50 9.9 1.36 0.8
(0.6–1.3)
1.0
(0.6–1.5)
12 2.3 0.76 2.0
(0.9–4.5)
2.0
(0.9–4.7)
71 14.5 1.72 1.8
(1.2–2.8)
0.9
(0.6–1.5)
Poverty level
Below poverty level 1276 72.9 1.29 164 8.6 0.77 ref ref 169 9.6 0.76 ref ref 28 1.5 0.25 ref ref 120 7.4 0.72 ref ref
At or near poverty level 942 74.7 1.26 76 5.7 0.70 0.7
(0.5–1.0)
0.7
(0.5–1.1)
137 10.8 0.97 1.2
(0.9–1.5)
1.2
(0.9–1.5)
28 2.2 0.42 1.3
(0.8–2.3)
1.3
(0.8–2.2)
85 6.6 0.76 0.9
(0.6–1.2)
0.9
(0.6–1.3)
At or above twice the poverty level 1022 70.4 1.35 76 4.9 0.64 0.7
(0.4–1.0)
0.7
(0.4–1.0)
152 10.8 1.00 1.2
(0.9–1.6)
1.2
(0.9–1.6)
30 2.2 0.46 1.2
(0.6–2.2)
1.2
(0.7–2.3)
156 11.8 0.98 1.5
(1.1–2.1)
1.5
(1.1–2.1)
Not reported 284 75.2 2.78 25 5.2 1.08 0.7
(0.4–1.1)
0.7
(0.4–1.1)
38 9.7 1.71 1.1
(0.7–1.7)
1.2
(0.8–1.9)
6 1.4 0.56 1.1
(0.4–2.9)
1.2
(0.4–3.1)
32 8.5 1.71 1.1
(0.6–1.9)
1.2
(0.7–2.1)
Nicotine dependence 3
1st quartile 842 68.1 1.46 72 4.8 0.65 ref ref 85 6.0 0.76 ref ref 25 1.8 0.38 ref ref 221 19.3 1.21 ref ref
2nd quartile 860 75.1 1.46 78 6.4 0.76 1.3
(0.8–1.9)
1.4
(0.9–2.1)
112 10.1 0.96 1.5
(1.0–2.1)
1.3
(0.9–1.8)
20 1.9 0.46 1.1
(0.5–2.3)
1.1
(0.4–2.8)
73 6.6 0.87 0.3
(0.2–0.4)
0.5
(0.3–0.7)
3rd quartile 904 72.6 1.30 94 7.1 0.70 1.5
(1.1–2.1)
1.7
(1.1–2.5)
168 14.0 1.04 2.1
(1.5–3.0)
1.7
(1.2–2.5)
26 2.2 0.50 1.4
(0.7–2.7)
1.5
(0.7–3.2)
47 4.1 0.67 0.2
(0.1–0.3)
0.4
(0.3–0.6)
4th quartile 871 75.5 1.37 88 6.9 0.73 1.5
(1.0–2.3)
1.7
(1.0–2.6)
130 11.9 1.22 1.7
(1.2–2.5)
1.4
(0.9–2.1)
20 1.8 0.43 1.2
(0.6–2.5)
1.3
(0.5–3.3)
45 3.9 0.64 0.2
(0.1–0.3)
0.4
(0.2–0.6)
Current use of cigarettes
Someday use 569 63.2 1.75 58 5.7 0.83 ref ref 49 5.0 0.76 ref ref 19 2.1 0.45 ref ref 202 24.1 1.69 ref ref
Daily use 2955 75.0 0.73 283 6.5 0.44 1.1
(0.7–1.5)
0.8
(0.5–1.3)
447 11.5 0.64 2.1
(1.4–3.0)
1.7
(1.1–2.5)
73 1.9 0.24 1.0
(0.6–1.8)
0.9
(0.4–1.8)
191 5.1 0.42 0.2
(0.1–0.2)
0.3
(0.2–0.4)

Table 3 notes. Sample includes adults aged 18+ years who were ‘exclusive cigarette’ smokers at W1 and also participated in W2 (N = 4893); analyses weighted using W2 longitudinal weights. Results from multinomial logistic regression analyses indicate the relative probability of being in each W2 transition group vs the W2 ‘no transition’ group as a function of correlates assessed at W1. Current use at each wave defined for cigarettes as having smoked at least 100 cigarettes in lifetime and now smoking everyday or somedays; for hookah as now using everyday, somedays, or monthly; for all other products as now using everyday or somedays. ‘Exclusive cigarette’ use defined as current use of cigarettes and no current use of any other tobacco product. Bold font indicates significant association at α = 0.05; grey shaded cells indicate unstable estimate due to denominator <50 or relative standard of the estimate >30%. 1 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, and poverty level. 2 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, poverty level, tobacco dependence, and frequency of cigarette use. 3 Mean cumulative tobacco dependence score; quartiles determined among W1 ‘exclusive cigarette’ smokers. a No transition is defined only with respect to cigarettes and ENDS use; therefore, no transition may include adding combustible or smokeless tobacco products(s) at W2.

When considering transitions only with respect to ENDS (Table 2), the majority of exclusive cigarette smokers, 78.2%, did not transition, 11.2% transitioned to cigarettes plus ENDS use, 1.5% switched to ENDS use, and 9.1% transitioned to no cigarettes and no ENDS use. When considering transitions with respect to all tobacco products (Table 3), the majority of exclusive cigarette smokers, 72.8%, did not transition, 6.3% transitioned to cigarettes plus combustible use, 10.3% transitioned to cigarettes plus non-combustible use, 1.9% switched to non-cigarette tobacco use, and 8.7% discontinued tobacco use.

3.2.1. Correlates of Transitions to Cigarettes Plus ENDS Use (Table 2)

Among exclusive cigarette smokers, young adults were more than twice as likely to transition to cigarettes plus ENDS use versus not transition compared to those aged 55+ years (Table 2, Model 2, RRR = 0.4, 95% CI = 0.3–0.5), and about 1.4 times more likely to transition compared to those aged 40–54 years (Model 2, RRR = 0.7, 95% CI = 0.5–0.9), female smokers were more likely than male smokers (Model 2, RRR = 1.3 95% CI = 1.0–1.6), smokers who identified as gay/lesbian/bisexual/ something else were more likely than those who identified as heterosexual/straight (Model 2, RRR = 1.6, 95% CI = 1.1–2.3), and African American smokers were half as likely as non-Hispanic white smokers (Model 2, RRR = 0.5, 95% CI = 0.4–0.8), to transition to cigarettes plus ENDS use versus not transition regardless of adjustments (Table 2). Those in the third quartile of nicotine dependence at W1 were more likely than those in the first quartile to transition to cigarettes plus ENDS use regardless of adjustments (Table 2, Model 2, RRR = 1.8, 95% CI = 1.2–2.5), and daily cigarette smokers were more likely than someday cigarette smokers to transition to cigarettes plus ENDS use regardless of adjustments (Model 2, RRR = 1.5, 95% CI = 1.0–2.2).

3.2.2. Correlates of Transitions to Cigarettes Plus Combustible Use (Table 3)

Among exclusive cigarette smokers, young adults were about 2–3 times more likely to transition to cigarettes plus combustible use versus not transition compared to their older adult counterparts regardless of adjustments (Table 3, Model 2 estimates ranging from RRR = 0.4, 95% CI = 0.3–0.6 for those aged 25–39 years and for those aged 40–54 years, to RRR = 0.3, 95% CI = 0.2–0.4 for those aged 55+ years), female smokers were about half as likely as male smokers (Model 2, RRR = 0.5, 95% CI = 0.4–0.6), and smokers who identified as gay/lesbian/bisexual/something else were about twice as likely as those who identified as heterosexual/straight (Model 2, RRR = 2.0, 95% CI = 1.2–3.3) to transition to cigarettes plus combustible use regardless of adjustments. Those in the third or fourth quartiles of nicotine dependence at W1 were more likely than those in the first quartile to transition to cigarettes plus combustible use regardless of adjustments (Table 3, Model 2, RRR = 1.7, 95% CI = 1.1–2.5 for third quartile; RRR = 1.7, 95% CI = 1.0–2.6 for fourth quartile). There was no difference in likelihood of transitioning to cigarettes plus combustible use between daily versus someday cigarette smokers at W1.

3.2.3. Tobacco Product Switching (Table 2 and Table 3)

Among exclusive cigarette smokers, 1.5% switched to ENDS (alone or in combination with another non-cigarette tobacco product, Table 2) and 1.9% switched to any non-cigarette tobacco product use (which could include ENDS, Table 3). Most stratified estimates for switching transitions in Table 2 and Table 3 were based on a sample size of less than 50 or had a relative standard error of greater than 30% and are therefore unstable.

3.2.4. Correlates of Transitions to No Cigarettes and No ENDS Use (Table 2) and to No Tobacco Use (Table 3)

Among exclusive cigarette smokers, African American smokers were less likely than non-Hispanic white smokers to transition to no cigarettes and no ENDS use (Table 2, Model 2, RRR = 0.6, 95% CI = 0.4–0.9), and to discontinue all tobacco use (Table 3, Model 2, RRR = 0.6, 95% CI = 0.4–0.9) when adjusting for all correlates. Those at or above twice the poverty level were 50% more likely than those below the poverty level to transition to no cigarettes and no ENDS use (Table 2, Model 2, RRR = 1.5, 95% CI = 1.1–2.1) and to discontinue all tobacco use (Table 3, Model 2, RRR = 1.5, 95% CI = 1.1–2.1) regardless of adjustments. Associations varied across adjustments for other demographic characteristics.

Exclusive cigarette smokers with higher nicotine dependence were far less likely than were those with nicotine dependence in the first quartile, and daily cigarette smokers were also far less likely than someday cigarette smokers, to transition to no cigarettes and no ENDS use (Table 2), and to discontinue all tobacco use (Table 3) regardless of adjustments.

3.3. Poly-Cigarette Smokers at W1

Table 4 shows rates and relative likelihood of transitions in tobacco product use among poly-cigarette smokers at W1, as a function of correlates assessed at W1. Overall, 54.5% of poly-cigarette smokers did not transition in use of tobacco products, 32.5% transitioned to exclusive cigarette use, 6.7% transitioned to non-cigarette tobacco use, and 6.3% discontinued tobacco use

Table 4.

Correlates of transitions in tobacco product use among ‘poly cigarette’ smokers at Wave 1 (W1) ⱡ.

Transitions assessed between Wave 1 & Wave 2 (W2)
No transition a
(i.e., poly cigarette use at W2; referent group)
Transition to exclusive cigarette
(i.e., cigarette use at W2, no use of any other tobacco product at W2)
Transition to non-cigarette tobacco use
(i.e., no cigarette use at W2, but use of any other tobacco product(s) at W2; 56.4% of people in this transition group were ENDS users at W2)
Discontinue tobacco use
(i.e., no use of any tobacco product at W2)
Model 1 1 Model 2 2 Model 1 1 Model 2 2 Model 1 1 Model 2 2
Correlates assessed at W1 N % SE N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
N % SE RRR
(95% CI)
RRR
(95% CI)
Overall 2195 54.5 0.92 1248 32.5 0.88 261 6.7 0.49 242 6.3 0.46
Age group
18–24 719 60.2 1.45 292 23.5 1.35 ref ref 93 8.0 0.80 ref ref 88 8.4 1.02 ref ref
25–39 740 55.7 1.52 427 31.6 1.40 1.4
(1.1–1.7)
1.2
(1.0–1.6)
85 6.6 0.87 0.8
(0.5–1.1)
1.0
(0.6–1.5)
84 6.0 0.67 0.8
(0.5–1.1)
1.0
(0.7–1.4)
40–54 479 50.4 1.78 346 39.0 1.66 1.8
(1.4–2.2)
1.5
(1.1–1.9)
49 5.7 0.91 0.7
(0.5–1.1)
0.9
(0.5–1.4)
41 4.9 0.75 0.7
(0.4–1.1)
0.8
(0.5–1.4)
55+ 256 50.2 2.50 182 36.4 2.31 1.7
(1.3–2.3)
1.3
(0.9–1.9)
34 6.9 1.24 0.9
(0.6–1.4)
1.1
(0.7–1.8)
29 6.6 1.38 0.9
(0.5–1.7)
1.2
(0.6–2.4)
Sex
Male 1405 58.1 1.19 629 28.5 1.02 ref ref 191 7.9 0.62 ref ref 123 5.5 0.58 ref ref
Female 790 48.2 1.47 619 39.4 1.54 1.8
(1.5–2.1)
1.4
(1.1–1.6)
70 4.6 0.67 0.8
(0.5–1.1)
0.8
(0.6–1.2)
119 7.7 0.78 1.7
(1.2–2.3)
1.6
(1.1–2.3)
Sexual orientation
Heterosexual/Straight 1938 54.6 1.00 1106 32.5 0.89 ref ref 235 6.9 0.52 ref ref 202 6.0 0.48 ref ref
Gay/lesbian/bisexual/something else 244 57.8 2.58 117 29.7 2.64 0.8
(0.6–1.0)
0.9
(0.6–1.2)
23 4.8 1.26 0.7
(0.4–1.3)
0.7
(0.4–1.4)
33 7.7 1.36 1.0
(0.6–1.6)
1.1
(0.6–1.7)
Race/ethnicity
Non-Hispanic White 1485 55.3 1.12 813 32.2 1.07 ref ref 180 7.1 0.67 ref ref 137 5.4 0.51 ref ref
Non-Hispanic Black or African American 253 53.5 2.67 168 36.4 2.45 1.2
(0.9–1.6)
1.1
(0.8–1.4)
24 5.0 1.20 0.9
(0.5–1.6)
0.7
(0.4–1.4)
27 5.1 1.12 1.1
(0.7–1.9)
0.8
(0.4–1.4)
Non-Hispanic other 202 57.0 3.66 99 28.4 3.46 1.0
(0.7–1.4)
0.8
(0.6–1.3)
17 4.4 1.12 0.6
(0.3–1.1)
0.5
(0.3–1.0)
25 10.2 2.30 2.0
(1.1–3.4)
1.7
(0.9–3.0)
Hispanic 255 48.9 2.50 168 32.9 2.32 1.2
(1.0–1.6)
1.1
(0.8–1.4)
40 7.4 1.12 1.4
(0.9–2.1)
1.1
(0.7–1.9)
53 10.8 1.55 2.6
(1.7–4.0)
1.7
(1.0–2.7)
Educational attainment
Less than high school or GED 591 54.9 1.46 361 35.7 1.50 ref ref 48 4.6 0.84 ref ref 43 4.8 0.82 ref ref
High school graduate 549 54.8 1.96 299 33.2 1.95 0.9
(0.7–1.2)
0.9
(0.7–1.1)
67 7.2 1.06 1.5
(0.9–2.6)
1.4
(0.8–2.5)
48 4.7 0.75 1.0
(0.6–1.6)
0.8
(0.5–1.4)
Some college (no degree) or associates degree 835 55.0 1.39 466 30.7 1.32 0.8
(0.6–0.9)
0.7
(0.6–1.9)
111 7.1 0.71 1.4
(0.9–2.4)
1.2
(0.7–2.0)
111 7.2 0.81 1.3
(0.8–2.2)
1.1
(0.7–1.9)
Bachelor’s degree or more 220 51.3 2.89 122 29.5 2.54 0.7
(0.5–0.9)
0.6
(0.5–0.9)
35 8.8 1.35 1.7
(0.9–3.2)
1.1
(0.5–2.2)
40 10.4 1.59 1.8
(1.1–3.1)
1.1
(0.6–2.1)
Poverty level
Below poverty level 935 57.8 1.21 508 32.5 1.29 ref ref 78 4.6 0.52 ref ref 81 5.1 0.59 ref ref
At or near poverty level 529 55.5 1.63 291 30.8 1.49 1.1
(0.9–1.3)
1.0
(0.8–1.3)
75 7.3 0.95 1.6
(1.1–2.3)
1.5
(1.0–2.3)
57 6.4 0.93 1.4
(0.9–2.1)
1.3
(0.8–2.1)
At or above twice the poverty level 575 49.1 1.64 374 34.9 1.78 1.4
(1.2–1.8)
1.5
(1.2–1.8)
93 8.9 1.14 2.1
(1.4–3.2)
2.0
(1.3–3.1)
82 7.1 0.91 1.7
(1.1–2.5)
1.5
(0.9–2.3)
Not reported 156 58.5 3.93 75 27.7 3.53 0.8
(0.5–1.3)
0.8
(0.5–1.2)
15 5.5 1.49 1.0
(0.5–2.2)
1.3
(0.6–2.7)
22 8.3 1.97 1.4
(0.8–2.7)
1.5
(0.7–3.0)
Total number of products currently used
2 products 1191 48.1 1.15 934 38.9 1.17 ref ref 146 6.2 0.64 ref ref 160 6.8 0.64 ref ref
3 or more products 927 67.6 1.40 259 19.3 1.25 0.4
(0.3–0.5)
0.6
(0.4–0.8)
105 7.8 0.84 0.9
(0.6–1.3)
1.0
(0.5–2.1)
75 5.3 0.61 0.5
(0.4–0.8)
0.5
(0.2–1.0)
Nicotine dependence 3
1st quartile 539 50.5 1.82 288 28.2 1.63 ref ref 99 10.3 1.17 ref ref 112 11.1 1.16 ref ref
2nd quartile 496 53.1 1.75 290 33.3 1.64 1.1
(0.9–1.4)
1.2
(0.9–1.5)
71 7.5 1.07 0.7
(0.5–1.1)
0.9
(0.6–1.4)
53 6.2 0.89 0.6
(0.4–0.9)
0.9
(0.6–1.4)
3rd quartile 605 59.0 1.76 322 32.0 1.61 1.0
(0.8–1.2)
1.1
(0.8–1.4)
46 4.4 0.70 0.4
(0.3–0.6)
0.6
(0.4–1.0)
42 4.6 0.84 0.4
(0.2–0.7)
0.7
(0.4–1.2)
4th quartile 532 55.5 1.80 332 36.8 1.83 1.1
(0.8–1.4)
1.2
(0.9–1.6)
43 4.7 0.72 0.5
(0.3–0.8)
0.7
(0.4–1.3)
32 3.1 0.55 0.3
(0.2–0.5)
0.5
(0.3–1.0)
Current use of cigarettes
Someday use 458 49.0 1.84 199 23.1 1.65 ref ref 129 14.6 1.36 ref ref 119 13.3 1.31 ref ref
Daily use 1737 56.1 1.09 1049 35.2 1.04 1.3
(1.0–1.7)
1.0
(0.8–1.4)
132 4.4 0.42 0.3
(0.2–0.4)
0.4
(0.2–0.5)
123 4.2 0.43 0.3
(0.2–0.4)
0.3
(0.2–0.5)
Current use of ENDS
No use 1053 54.1 1.34 595 31.8 1.24 ref ref 138 7.3 0.72 ref ref 133 6.7 0.71 ref ref
Someday use 942 53.0 1.43 596 35.8 1.26 1.0
(0.8–1.1)
0.8
(0.6–1.1)
84 5.0 0.59 0.7
(0.5–1.0)
0.8
(0.5–1.2)
97 6.2 0.64 0.8
(0.5–1.1)
1.0
(0.6–1.7)
Daily use 197 65.3 2.98 54 18.2 2.66 0.4
(0.3–0.6)
0.3
(0.2–0.5)
39 12.6 2.06 1.3
(0.8–2.2)
1.3
(0.7–2.2)
12 3.9 1.06 0.4
(0.2–0.8)
0.5
(0.2–1.0)
Current use of traditional cigars/cigarillos/filtered cigars
No use 941 49.4 1.42 680 36.9 1.34 ref ref 124 6.9 0.69 ref ref 120 6.8 0.63 ref ref
Someday use 1047 59.5 1.38 476 28.9 1.22 0.7
(0.6–0.9)
0.7
(0.5–1.0)
106 6.0 0.66 0.7
(0.5–1.0)
0.7
(0.4–1.2)
98 5.7 0.64 0.8
(0.6–1.1)
1.0
(0.6–1.7)
Daily use 170 62.2 3.23 58 20.5 2.47 0.4
(0.3–0.6)
0.3
(0.2–0.5)
26 10.5 2.30 1.4
(0.8–2.6)
1.6
(0.8–3.5)
20 6.7 1.52 1.0
(0.6–1.8)
1.2
(0.5–2.6)
Current use of pipe
No use 1993 53.7 0.97 1182 33.3 0.95 ref ref 237 6.5 0.50 ref ref 230 6.4 0.48 ref ref
Someday use 193 64.9 3.13 61 21.8 2.98 0.7
(0.5–1.0)
1.0
(0.6–1.6)
22 8.6 2.28 1.1
(0.6–2.1)
1.5
(0.8–2.7)
11 4.6 1.53 0.8
(0.4–1.7)
1.1
(0.4–2.9)
Daily use 6 41.9 12.85 4 34.0 14.13 1.7
(0.4–6.8)
1.4
(0.2–10.9)
2 17.7 10.33 3.5
(0.6–19.6)
3.2
(0.5–20.1)
1 6.4 7.72 2.0
(0.1–41.3)
2.3
(0.1–68.7)
Current use of hookah
No use 1590 53.7 0.96 991 34.3 0.94 ref ref 180 6.4 0.56 ref ref 156 5.6 0.52 ref ref
Someday use 590 57.5 2.02 254 26.5 1.81 0.9
(0.7–1.1)
1.0
(0.7–1.4)
79 7.6 0.83 1.1
(0.8–1.6)
1.1
(0.6–1.8)
82 8.3 1.05 1.1
(0.7–1.7)
1.4
(0.8–2.5)
Daily use 14 54.2 13.75 1 8.8 9.20 0.3
(0.0–4.7)
0.6
(0.0–7.6)
2 17.6 11.99 3.3
(0.4–26.4)
4.2
(0.5–34.8)
3 19.4 11.39 3.0
(0.5–17.8)
5.1
(0.4–62.6)
Current use of smokeless/ snus pouches/ dissolvable
No use 1674 51.2 1.05 1125 36.0 1.00 ref ref 189 6.0 0.52 ref ref 211 6.8 0.54 ref ref
Someday use 345 68.7 2.28 99 21.9 1.99 0.5
(0.4–0.7)
0.6
(0.4–0.8)
27 5.2 1.44 0.6
(0.3–1.1)
0.6
(0.3–1.3)
20 4.2 0.94 0.6
(0.3–1.1)
0.8
(0.4–1.6)
Daily use 142 71.6 3.54 7 4.0 1.37 0.1
(0.0–0.2)
0.1
(0.0–0.1)
39 20.2 3.25 2.1
(1.2–3.7)
1.8
(0.9–3.3)
8 4.2 1.72 0.6
(0.2–1.8)
0.6
(0.2–2.0)

Table 4 notes. Sample includes adults aged 18+ years who were ‘poly cigarette’ smokers at W1 and also participated in W2 (N = 3946); analyses weighted using W2 longitudinal weights. Results from multinomial logistic regression analyses indicate the relative probability of being in each W2 transition group vs the W2 ‘no transition’ group as a function of correlates assessed at W1. Current use at each wave defined for cigarettes as having smoked at least 100 cigarettes in lifetime and now smoking everyday or somedays; for hookah as now using everyday, somedays, or monthly; for all other products as now using everyday or somedays. ‘Poly cigarette’ use defined as current use of cigarettes and current use of at least one other tobacco product. ‘Exclusive cigarette’ use defined as current use of cigarettes and no current use of any other tobacco product. ‘Non-cigarette tobacco’ use defined as no current use of cigarettes and current use of any other tobacco product. Bold font indicates significant association at α = 0.05; grey shaded cells indicate unstable estimate due to denominator <50 or relative standard of the estimate >30%. 1 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, and poverty level. 2 Analyses adjusted for age, sex, sexual orientation, race/ethnicity, education, poverty level, total number of products used, nicotine dependence, and type and frequency of product used. 3 Mean cumulative nicotine dependence score; quartiles determined among W1 ‘poly cigarette’ smokers. a No transition is defined relative to ‘poly cigarette’ use; therefore, no transition may reflect the same or different combinations of products used at W2 as were used at W1.

3.3.1. Correlates of Transition to Exclusive Cigarette Use

Among poly-cigarette smokers, young adults were about half as likely to transition to exclusive cigarette use versus not transition compared to those aged 40–54 years regardless of adjustments (Table 4, Model 2, RRR = 1.5, 95% CI = 1.1–1.9), female smokers were more likely than male smokers (Model 2, RRR = 1.4, 95% CI = 1.1–1.6), smokers with a bachelor’s degree or more were less likely than those with less than high school/GED education (Model 2, RRR = 0.6, 95% CI = 0.5–0.9), and those at or above twice the poverty level were more likely than those below the poverty level (Model 2, RRR = 1.5, 95% CI = 1.2–1.8), to transition to exclusive cigarette use regardless of adjustments.

Those who were using three or more products at W1 were less likely than those using two products (Model 2, RRR = 0.6, 95% CI = 0.4–0.8), daily ENDS users were less likely than ENDS nonusers, daily cigar users were less likely than cigar non-users (Model 2, RRR = 0.3, 95% CI = 0.2–0.5 for ENDS use and for cigar use), and someday smokeless users were less likely than smokeless nonusers (Model 2, RRR = 0.6, 95% CI = 0.4–0.8) to transition to exclusive cigarette use versus not transition regardless of adjustments.

3.3.2. Correlates of Transition to Non-Cigarette Tobacco Use

Among poly-cigarette smokers, those at or above the poverty level were more likely to transition to non-cigarette tobacco use compared to those below the poverty level regardless of adjustments (Model 2, RRR = 1.5, 95% CI = 1.0–2.3 for those at or near the poverty level; RRR = 2.0, 95% CI = 1.3–3.1 for those at or above twice the poverty level), and daily cigarette smokers were less likely than someday cigarette smokers to transition to non-cigarette tobacco use regardless of adjustments (Model 2, RRR = 0.4, 95% CI = 0.2–0.5). Associations varied across adjustments for other correlates (Table 4).

3.3.3. Correlates of Discontinuing Tobacco Use

Among poly-cigarette smokers, female smokers were more likely than male smokers (Table 4, Model 2, RRR = 1.6, 95% CI = 1.1–2.3), Hispanic smokers were more likely than non-Hispanic white smokers (Model 2, RRR = 1.7, 95% CI = 1.0–2.7), and daily cigarette smokers were less likely than someday cigarette smokers (Model 2, RRR = 0.3, 95% CI = 0.2–0.5), to discontinue tobacco use versus not transition regardless of adjustments. Associations for other correlates varied across adjustments as shown in Table 4, including for number of products used at W1 and nicotine dependence at W1, both of which were negatively related to discontinuing tobacco use when adjusting only for demographic characteristics, but did not have robust and significant associations with discontinuing tobacco use after adjusting for all tobacco use variables.

4. Discussion

Data from W1 and W2 of the PATH Study indicate that transitions in tobacco product use among adult tobacco users, particularly young adults, are common, and that behaviors vary more and in different ways for different demographic groups and dependence levels, suggesting differing needs for tobacco control efforts among subgroups of the population. Among exclusive cigarette smokers, male smokers and those not identifying as heterosexual/straight were more likely to add other combustible tobacco product use to their cigarette use; female smokers, white smokers, and those not identifying as heterosexual/straight were more likely to add ENDS use to their cigarette use; and exclusive cigarette smokers below the poverty level were less likely to discontinue tobacco use than were their counterparts at or above twice the poverty level. Among poly-cigarette smokers, female smokers, those with higher education, and those with higher income were more likely to transition to exclusive cigarette use than their counterparts; and female smokers, and Hispanic smokers (compared to non-Hispanic white smokers), were more likely to discontinue tobacco use. These initial demographic findings can serve as a foundation for additional work that can help determine what drives demographic differences in tobacco use transitions. For example, differences in rates of exclusive cigarette smokers adding ENDS use found here may reflect demographic differences in quit intentions, as others have found that cigarette smokers report using ENDS to try to quit smoking [24,25].

Further, nicotine dependence remains a key barrier to discontinuing tobacco use. These findings show that those using tobacco on a daily basis and scoring higher on an index of nicotine dependence [20] were less likely to discontinue cigarette use and all tobacco use than their counterparts. Importantly, tobacco users with higher dependence scores were more likely to switch among tobacco products, and relatively highly dependent cigarette smokers were more likely to add product(s) to their cigarette use compared to their less dependent counterparts. Further research can elucidate these findings, but one possible explanation is that highly dependent cigarette smokers may be turning to other tobacco products as a means of trying to reduce or stop their cigarette use [24]. Limiting the amount of nicotine contained in cigarettes to reduce their addictiveness [26] has potential to mitigate the disease burden caused by combusted cigarettes, a high public health priority [27].

Future Directions

These PATH Study findings provide a broad look at demographic and tobacco use characteristics associated with transitions in tobacco product use among current tobacco users over a 12-month period, and longer follow up can help us to better understand the effects of these transitions on public health. Additionally, as the variety of ENDS products available to consumers today expands, considering different types of ENDS products rather than considering all ENDS as one product could be useful for understanding transitions [3]. The PATH Study data can also be used to evaluate correlates of transitions among non-tobacco users (i.e., experimentation and initiation of tobacco use and relapse among former tobacco users), which will be important for determining the public health implications of the diverse tobacco product landscape. The work we present here can also be extended by evaluating changes in frequency of use within and among tobacco product types and further disaggregating transitions among poly-tobacco product users, all in an effort to help inform tobacco regulatory efforts aimed at protecting the health of the U.S. population.

5. Conclusions

Transitions in tobacco product use among adult tobacco users in the U.S. vary among different demographic groups, suggesting differing needs for tobacco control efforts among subgroups of the population. High nicotine dependence predicts transitioning among or the addition of tobacco products and is a barrier to discontinuing tobacco use, adding evidence to support policy to lower nicotine content of cigarettes and to evaluate new products for their potential to reduce cigarette use.

Acknowledgments

The views and opinions expressed in this manuscript are those of the authors only and do not necessarily represent the views, official policy or position of the U.S. Department of Health and Human Services or any of its affiliated institutions or agencies.

Author Contributions

A.J.H., K.A.K., N.B., W.M.C. conceived the study. All authors contributed to the design of the study. K.A.K., E.S. conducted the data analysis. All authors contributed to the interpretation of results. K.A.K. wrote the first draft of the manuscript. All authors critically revised the manuscript and approved the final version.

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).

Conflicts of Interest

Compton reports long-term stock holdings in General Electric, the 3M Companies, and Pfizer Incorporated, unrelated to this manuscript; Cummings has received grant funding from Pfizer, Inc., to study the impact of a hospital based tobacco cessation intervention. Cummings also receives funding as an expert witness in litigation filed against the tobacco industry; Goniewicz receives fees for serving on an advisory board from Johnson & Johnson and grant support from Pfizer outside of the submitted work; Niaura reports having been a witness for plaintiffs vs. tobacco companies, receiving speaker fees, receiving honoraria, sitting on advisory boards, being a site PI, and consulting for pharmaceutical companies testing and marketing smoking cessation aids, but not in the last 6 years. Fong has a Senior Investigator Award from the Ontario Institute for Cancer Research and Prevention Scientist Award from the Canadian Cancer Society Research Institute. Conway reports preparing this article while employed at the NIH/National Institute on Drug Abuse. No other potential conflict of interest relevant to this manuscript was reported.

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