Dataset Information

Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis.

ABSTRACT: Introduction:As the tobacco industry and market evolves, there is a growing need to understand the patterns of use of tobacco products and how they relate to demographics, dependency, withdrawal, and quit behavior. Methods:We analyzed data from wave 1 of the PATH Study consisting of 14856 individuals. Current users were defined as consuming at least 1 of 10 tobacco products. We performed a latent class analysis (LCA) to identify patterns of tobacco use. We used multinomial regression analysis to explore the association between these patterns with covariates representing socioeconomic status dependence/addiction, past quit attempts, and withdrawal severity. Results:We identified four groups of current tobacco users with distinct profiles: (1) 61% of the sample were identified as cigarette-only users; (2) 9% were smokeless tobacco users; (3) 17% of the sample were characterized by being current users of all types of combustible tobacco including cigars, cigarillos, filtered cigars, and smoking a pipe (4) finally, 13% were e-cig and hookah users. All classes also shared a varying frequency of cigarette use. Exclusive cigarette users were more likely to be older and female, and experienced higher dependency and withdrawal. Users of e-cigs and hookah were the younger, most educated of all four subgroups, and presented the lowest dependency and withdrawal among the four groups. Conclusions:FDA policy makers may want to discourage the use of tobacco products associated with higher tobacco dependency, and products that may contribute to experiencing higher levels of withdrawal symptoms by the user when trying to quit. Implications:We identified four patterns of tobacco product use that are significantly related to demographic characteristics, dependency, and withdrawal. Policies should target users more likely to use tobacco products that increase dependency and withdrawal, making quitting more difficult.

SUBMITTER: Kypriotakis G

PROVIDER: S-EPMC6093445 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis.

Kypriotakis George G Robinson Jason D JD Green Charles E CE Cinciripini Paul M PM

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20180801 suppl_1

<h4>Introduction</h4>As the tobacco industry and market evolves, there is a growing need to understand the patterns of use of tobacco products and how they relate to demographics, dependency, withdrawal, and quit behavior.<h4>Methods</h4>We analyzed data from wave 1 of the PATH Study consisting of 14856 individuals. Current users were defined as consuming at least 1 of 10 tobacco products. We performed a latent class analysis (LCA) to identify patterns of tobacco use. We used multinomial regress ...[more]

PMID: 30125013

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Project description:IntroductionEvaluations of multiple tobacco product use and temporal changes in patterns of use are complicated by a large number of combinations and transitions. Visualization tools could easily identify most common patterns and transitions.MethodsSet intersection bar plots describe ever use of five tobacco products among 12-17 years old youth in wave 1 of the Population Assessment of Tobacco and Health (PATH) study (N = 11 497). Heat maps visualize unweighted frequencies of transitions from ever use at wave 1 (2013-2014) to past 12-month use at wave 2 (2014-2015). Weighted calibrated heat maps assess differences in relative frequencies of transitions by pattern at wave 1 and identify differences in transitions by sex.ResultsThe most common tobacco product ever use patterns in wave 1 were of cigarettes only, e-cigarettes only or hookah only, followed by ever use of both cigarettes and e-cigarettes. Initiation of use between waves was uncommon. The most frequent transition among those who reported use at wave 2 but not at wave 1 (N = 971) was to e-cigarette use (N = 301). However, among e-cigarette-only ever users at wave 1 (N = 260), about half did not report any product use at wave 2. Use of three or more products remained stable. Adolescent girls compared to boys appeared more likely to report hookah use at both waves.ConclusionSet intersection bar plots and heat maps are useful for visualizing tobacco product use patterns and transitions, especially for multiple products. Both techniques could identify common problematic tobacco use patterns across and within populations.ImplicationsGiven the growing complexity of the youth tobacco use landscape, approaches to efficiently communicate patterns of multiple tobacco product use should be used more often. This study introduces set intersection bar plots and modified versions of heat maps to the tobacco product literature and illustrates their use in the PATH youth sample. These techniques are useful for visualizing absolute and relative frequencies of multiple possible patterns and transitions. They also suggest targets for subsequent statistical inference such as sex differences in hookah use. The methods can be applied more generally for data visualization wherever large number of combinations occurs.

Project description:BACKGROUND AND AIMS:Youth aged 15-17 years are at high risk of tobacco, alcohol and drug use. Given the changing landscape with respect to availability, use of emerging products and regulatory environments, we examined patterns and correlates of polysubstance use among US youth aged 15-17 years. DESIGN:Cross-sectional self-reported data. SETTING:United States. PARTICIPANTS:A total of 6127 US youth aged 15-17 years from wave 1 (2013-14) of the nationally representative Population Assessment of Tobacco and Health (PATH) Study. MEASUREMENTS:Latent class analysis was used to identify subgroups of polysubstance use, including 12 tobacco products, alcohol, marijuana, prescription drugs and other drugs. Socio-demographic characteristics, residence in urban area, sensation-seeking, sexual orientation and internalizing and externalizing problems were examined as correlates. FINDINGS:Approximately 43.5% of 15-17-year-olds had used at least one substance in the past 12 months. A 5-class model was identified: class 1 'abstainers' (67.3%), class 2 'alcohol users' (19.2%), class 3 'alcohol, marijuana and tobacco (AMTpredominant AM ) users' (8.2%), class 4 'alcohol, marijuana and tobacco (AMTpredominant T ) users' (3.9%) and class 5 'alcohol, marijuana, tobacco and other drug (AMTOD) users' (1.4%). Abstainers were considered the reference class. Higher sensation-seeking scores, higher age and lower academic grades were each associated with greater likelihood of membership in all user classes. Gender, race/ethnicity, parents/guardians' education, residence in non-urban areas and sexual minority groups were associated with membership in some, but not all, user classes. Compared with no/low/moderate severity, high severity internalizing problems were associated with membership in classes 2, 3 and 5, whereas high severity externalizing problems were associated with membership in classes 3 and 5 only. CONCLUSIONS:There appear to be three heterogeneous polysubstance use classes among US youth aged 15-17 years. Correlates of substance use among US youth include higher sensation-seeking, poor academic performance, non-urban residence, minority sexual orientation and mental health problems.

Project description:Importance:Approximately 90% of adult smokers first tried a cigarette by 18 years of age, and even infrequent smoking in adolescence is associated with established adult smoking. Noncigarette tobacco use is increasing and could stimulate subsequent conventional cigarette smoking in youths. Objective:To estimate the longitudinal association between noncigarette tobacco use and subsequent cigarette smoking initiation among US youth. Design, Setting, and Participants:In this prospective cohort study of the Population Assessment of Tobacco and Health (PATH) waves 1 (September 12, 2013, to December 14, 2014) and 2 (October 23, 2014, to October 30, 2015), a nationally representative sample of youths who never smoked a conventional cigarette at baseline and completed wave 2 follow-up (N = 10 384) was studied. PATH retention at follow-up was 87.9%. Exposures:Ever use and past 30-day use of electronic cigarettes (e-cigarettes), hookah, noncigarette combustible tobacco, or smokeless tobacco at baseline. Main Outcomes and Measures:Ever use and past 30-day use of cigarettes at follow-up. Results:The present analysis was based on the 10 384 PATH youth respondents who reported never having smoked a cigarette in wave 1 and whose cigarette ever or past 30-day use was reported in wave 2 (mean [SD] age, 14.3 [1.7] years; age range, 12-17 years; 5087 [49.1%] female; 4829 [52.5%] white). At 1-year follow-up, 469 (4.6%) of all baseline never-smoking youths had tried a cigarette and 219 (2.1%) had smoked a cigarette within the past 30 days. Cigarette ever use at follow-up was higher among youths who had ever used e-cigarettes (78 [19.1%]), hookah (60 [18.3%]), noncigarette combustible tobacco (45 [19.2%]), or smokeless tobacco (29 [18.8%]) at baseline. After adjusting for sociodemographic, environmental, and behavioral smoking risk factors and for baseline ever use of other tobacco products, the odds of past 30-day cigarette use at follow-up were approximately twice as high among baseline ever users of e-cigarettes (odds ratio [OR], 1.87; 95% CI, 1.15-3.05), hookah (OR, 1.92; 95% CI, 1.17-3.17), noncigarette combustible tobacco (OR, 1.78; 95% CI, 1.00-3.19), and smokeless tobacco (OR, 2.07; 95% CI, 1.10-3.87). Youths who had tried more than 1 type of tobacco product at baseline had 3.81 (95% CI, 2.22-6.54) greater adjusted odds of past 30-day cigarette smoking at follow-up than did baseline never tobacco users. Conclusions and Relevance:Any use of e-cigarettes, hookah, noncigarette combustible tobacco, or smokeless tobacco was independently associated with cigarette smoking 1 year later. Use of more than 1 product increased the odds of progressing to cigarette use.

Dataset Information

Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis.

Publications

Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis.

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