Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth

Patterns of poly tobacco use among adults in the Population Assessment of Tobacco and Health (PATH) study, 2013-2017: a multistate Markov transition analysis

BACKGROUND

A better understanding of sociodemographic transition patterns between single, dual and poly tobacco product use may help improve tobacco control policy interventions.

METHODS

HRs of transition between never, non-current (no past 30-day use), cigarette, e-cigarette, other combustible, smokeless tobacco (SLT), dual and poly tobacco use states in adults were estimated for age, sex, race/ethnicity, education and income using a multistate model for waves 1-4 of the Population Assessment of Tobacco and Health study (2013-2017), a US-based cohort study, accounting for complex survey design.

RESULTS

Sole cigarette and SLT use were persistent, with 77% and 78% of adults continuing use after one wave. Other use states were more transient, with 29%-48% of adults reporting the same pattern after one wave. If single-product users transitioned, it was most likely to non-current use while dual or poly cigarette users were most likely to transition to exclusive cigarette use. Males were more likely than females to initiate combustible product use after a history of no use, and after a period of tobacco use cessation. Hispanic and non-Hispanic black participants initiated cigarette use at higher rates than non-Hispanic white participants, and had higher rates of experimentation with tobacco products between study waves. Lower socioeconomic status was associated with higher rates of transition into combustible tobacco use.

CONCLUSIONS

Dual and poly tobacco use is largely transient, while single-use patterns are more stable over time. Transitions differ by age, sex, race/ethnicity, education and income, which may influence the impact of current and future tobacco control efforts.

Cardiometabolic Profile in Young Adults With Diverse Cigarette Smoking Histories: A Longitudinal Study From Adolescence

BACKGROUND

For the first time, the present study investigated smoking trajectory and cardiometabolic profile from adolescence to young adulthood in a middle-income developing country facing a high prevalence of smoking and cardiovascular disease-related outcomes.

METHODS AND RESULTS

Data on 1082 adolescents (12-18 years of age) who participated in the TLGS (Tehran Lipid and Glucose Study) were gathered, and participants were followed for a median of 12.5 years (baseline: 1999-2002, last follow-up: 2014-2017). Participants were categorized as non/rare smokers, experimenters, and escalators using group-based trajectory models. Statistical analysis was used to compare the trajectory groups' cardiometabolic components, clinical characteristics, and cardiometabolic changes due to the individuals' placement in experimenter and escalator groups compared with non/rare smokers. The smoking trajectory groups in young adulthood differ significantly in blood pressure, triglycerides, high-density lipoprotein cholesterol, waist circumference, and body mass index, with the escalator group having the highest risk values for each component. Significant differences were observed in blood pressure (P=0.014), triglycerides (P<0.001), and waist circumference (P<0.001) status after using clinical cut points. The adjusted linear regression revealed that the escalator group had 3.16 mm Hg-lower systolic blood pressure SBP (P=0.016), 2.69 mm Hg-lower diastolic blood pressure (P=0.011), and 4.42 mg/dL-lower high-density lipoprotein cholesterol (P=0.002), compared with the non/rare smoker group.

CONCLUSIONS

Despite elevated risks in unadjusted analyses for all cardiometabolic components among smokers, our study identified a modest protective link between early smoking and blood pressure in addition to a remarkable harmful association with high-density lipoprotein cholesterol levels exclusively in the escalator group during the developmental stage to young adulthood, using adjusted analyses.

Life-Course Associations Between Smoking and Depressive Symptoms. A 30-Year Finnish Follow-up Study

INTRODUCTION

Relatively little is known about whether the association between smoking and depressive symptoms changes with age and how the trajectories of smoking and depressive symptoms are intertwined during the life course. In this population-based study, these associations were examined from young adulthood to middle age.

METHODS

Participants of a Finnish cohort study (N = 1955) were assessed at the ages of 22, 32, 42, and 52 using questionnaires covering daily smoking (yes/no) and the short 13-item Beck Depression Inventory. Longitudinal latent class and longitudinal latent profile analyses were used to identify life course trajectories of smoking and depressive symptoms.

RESULTS

The proportions of daily smokers decreased, while levels of depressive symptoms increased among both females and males from age 22 to 52 years. Smoking was associated with higher levels of depressive symptoms from age 22 to 42 years, while not at 52. Associations among males prevailed when adjusting for education, marital status, and alcohol use. Four life course classes of daily smoking (nonsmokers, decreasing prevalence of smoking, persistent smokers, and increasing prevalence of smoking) and four trajectories of depressive symptoms (low, increasing/moderate, decreasing/moderate, and high) were identified. In males, persistent daily smokers (relative risk ratio (RRR) = 4.5, 95% confidence interval (CI): 2.2 to 9.2) and those in the class with increasing smoking prevalence (RRR = 3.2, 95% CI: 1.1 to 9.1) had an increased risk of belonging to the high depressive symptoms profile. In females these associations were nonsignificant.

CONCLUSIONS

Compared to females, the relationship between smoking and depressive symptoms seems more robust among males during adulthood. Specifically, males smoking persistently from young adulthood to middle age have an increased risk of high depressive symptoms trajectory.

IMPLICATIONS

This population-based cohort with 30 years of follow-up showed that the life course trajectories of daily smoking and depressive symptoms are associated. Persistent daily smokers and those starting late had an increased risk of belonging to the profile with constantly high levels of depressive symptoms during the life course. However, these associations were statistically significant only in males. Actions should be strengthened, especially in males, to prevent smoking initiation, to help smoking cessation, and to identify and treat depression in smokers with significant depressive symptoms.

Cigarette and ENDS dual use longitudinal transitions among adults in the Population Assessment of Tobacco and Health (PATH) Study, Waves 4-5 (2016-2019)

Introduction

The study assessed longitudinal transitions among adult (18 and older) past 30-day daily and non-daily dual users of cigarettes and electronic nicotine delivery systems (ENDS).

Methods

Using data from Wave 4 (W4; 2016/17) and Wave 5 (W5; 2018/19) of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal cohort study of US adults, multivariable regressions were conducted among W4 dual users of cigarettes and ENDS to examine past 30-day cigarette smoking at W5. The study also analyzed changes in frequency of past 30-day smoking and cigarettes smoked per day between W4 and W5, stratified by W4/W5 daily/non-daily ENDS use among W4 daily and non-daily cigarette smokers.

Results

Among W4 dual users, those smoking daily and using ENDS non-daily had higher odds of daily cigarette smoking at W5 than daily users of both products (AOR: 2.32, 95 % CI: 1.38-3.90). W4 daily smokers who used ENDS daily at Wave 5 smoked cigarettes on fewer days at Wave 5 than W4 daily smokers who were either daily ENDS users at Wave 4 (B = -4.59; SE = 1.43, p < 0.01) or non-daily ENDS users at Wave 4 (B = -4.55; SE = 1.24, p < 0.001). Among W4 non-daily cigarette smokers, W4 non-daily ENDS users who used daily at W5 smoked cigarettes on fewer days (B = -4.04, SE = 1.82) at W5 than those who were non-daily ENDS users at W4 and W5.

Conclusions

Findings highlight the importance of frequency of ENDS use in reducing cigarette smoking and could inform smoking cessation interventions among daily cigarette smokers.

Marijuana and E-cigarette Initiation Among Adolescents: A Survival Analysis

PURPOSE

Prior literature suggests marijuana and e-cigarette initiation among adolescents is surpassing combustible cigarette uptake. Marijuana and nicotine co-use is also a concern as these products grow in popularity. Initiation trajectories for marijuana and e-cigarette products are not well understood, let alone how the use of one product may impact initiation susceptibility for the other.

METHODS

We used national longitudinal data from the Population Assessment of Tobacco and Health study from 2013 to 2018. Eighth graders in Wave 1 made up the analytic sample (N = 2,270). We employed discrete time survival analyses to determine the likelihood of initiating marijuana and e-cigarettes between Waves 2 and 5. We used survival analyses to estimate the relationships between prior cigarette and marijuana use and subsequent e-cigarette initiation, as well as prior cigarette and e-cigarette use and subsequent marijuana initiation.

RESULTS

Previous marijuana initiation was associated with later e-cigarette initiation (odds ratio = 6.88, 95% confidence interval [4.89, 9.67]). Previous e-cigarette initiation was associated with later marijuana initiation (odds ratio = 9.28, 95% confidence interval [6.86, 12.56]). By wave 5, adolescents were more than 42% likely to initiate marijuana and e-cigarettes.

DISCUSSION

Susceptibility to marijuana and e-cigarette products starts as early as eighth grade and increases over time. The use of one product is significantly related to later initiation for the other. Rather than addressing marijuana and nicotine as separate concerns, interventions may benefit by recognizing the closely related nature of these products.

The effect of smoking initiation in adolescence on the subsequent smoking trajectories of people who smoke, and the role of adverse childhood experiences: Results from the 1958 British cohort study

OBJECTIVE

To examine the association between smoking initiation in adolescence and subsequent different smoking trajectories of people who smoke, and to examine the combined effect of adverse childhood experiences (ACEs) and smoking initiation in adolescence on smoking trajectories of people who smoke.

DESIGN AND SAMPLE

Data are from 8757 individuals in Great Britain from the birth cohort National Child Development Study and who reported being smokers or former smokers by age 23.

MEASUREMENTS

Smoking initiation in adolescence was measured at 16 y and smoking trajectories were derived from smoking variables from ages 23 to 55. We modelled the relationship between smoking initiation in adolescence with or without ACEs and smoking trajectories.

RESULTS

Individuals who initiated smoking in adolescence were more likely to quit later than quitting in twenties (RRR quitting in thirties  = 3.43 [2.40; 4.89] p < .001; RRR quitting in forties  = 5.25 [3.38; 8.14] p < .001; RRR quitting in fifties  = 4.48 [2.95; 6.79] p < .001), to relapse (RRR Relapse  = 3.66 [2.82; 4.76] p < .001) and to be persistent smokers (RRR persistent  = 5.25 [3.81; 7.25] p < .001) compared to those who had initiated smoking in young adulthood. These effects were particularly pronounced in case of ACEs.

CONCLUSION

Smoking prevention programs aimed at reducing smoking initiation should be promoted to adolescents to limit the burden of smoking, especially for people who have suffered adversity during childhood.

Disparities in trajectories of cigarette and E-cigarette use across sexual orientation groups of young adult men and women in the US

INTRODUCTION

Limited research has examined differences in cigarette/e-cigarette use trajectories among specific subgroups of sexual minority (SM) young adult (SMYA) men and women.

METHODS

Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette use trajectories across 5 waves of data (2018-2020) among men (n = 1235; Mage = 25.56, SD = 4.85; 8.0% bisexual, 12.7% gay; 36.4% racial/ethnic minority) and women (n = 1574; Mage = 24.64, SD = 4.72; 23.8% bisexual, 5.9% lesbian; 35.3% racial/ethnic minority) residing in 6 US metropolitan statistical areas. Multinomial logistic regressions examined associations among sexual orientation (bisexual, gay/lesbian, heterosexual) and tobacco use trajectories among men and women, separately.

RESULTS

RMLPAs yielded a 6-profile solution: stable low-level cigarette and e-cigarette use (66.6%), stable low-level cigarette and high-level e-cigarette use (12.2%), stable low-level cigarette and decreasing e-cigarette use (6.2%), stable mid-level cigarette and low-level e-cigarette use (6.2%), stable high-level cigarette and low-level e-cigarette use (4.5%), and stable high-level cigarette and e-cigarette use (4.2%). Gay (vs. heterosexual) men were less likely to display stable low-level cigarette and stable high-level e-cigarette use. Bisexual (vs. heterosexual) women were more likely to display stable low-level cigarette and stable high-level e-cigarette use, stable low-level cigarette and decreasing high-level e-cigarette use, and stable high-level cigarette and stable low-level e-cigarette use.

CONCLUSIONS

Bisexual women were at greatest risk for displaying several problematic cigarette and e-cigarette use trajectories, whereas few differences emerged for men. Tailored interventions and campaigns are needed to curtail ongoing tobacco use disparities among SMYA men and women, particularly bisexual women.

Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US

INTRODUCTION

Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.

METHODS

Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018-2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.

RESULTS

RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).

CONCLUSIONS

Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.

Impact of reduced nicotine content on behavioral economic measures of cigarette reinforcement in adolescents who smoke cigarettes

BACKGROUND

Public health officials in the U.S. and New Zealand are considering a reduced nicotine standard for cigarettes to reduce their addictive potential. This study's aim was to evaluate the effects of nicotine reduction on the reinforcing efficacy of cigarettes in adolescents who smoke, which has implications for this policy's potential for success.

METHODS

Adolescents who smoked cigarettes daily (n = 66; mean age: 18.6) participated in a randomized clinical trial assessing effects of assignment to very low nicotine content (VLNC; 0.4 mg/g nicotine) or normal nicotine content (NNC; 15.8 mg/g nicotine) cigarettes. Hypothetical cigarette purchase tasks were completed at baseline and the end of Week 3 and demand curves fit to the data. Linear regressions estimated effects of nicotine content on demand for study cigarettes at baseline and Week 3 and associations between baseline demand for cigarette consumption at Week 3.

RESULTS

An extra sum of squares F-test of fitted demand curves indicated that demand (α) was more elastic among VLNC participants at baseline and Week 3 (F(2, 1016)= 35.72, p < 0.001). Adjusted linear regressions indicated demand was more elastic (ß= 1.45, p < 0.01) and maximum expenditure (Omax) lower (ß= -1.42, p-0.03) among VLNC participants at Week 3. More elastic demand for study cigarettes at baseline predicted lower consumption of cigarettes at Week 3 (p's < 0.01).

CONCLUSIONS

A nicotine reduction policy may reduce the reinforcing value of combustible cigarettes among adolescents. Future work should investigate likely responses to such a policy among youth with other vulnerabilities and evaluate the potential for substitution to other nicotine containing products.

Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study

INTRODUCTION

This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use.

METHODS

Latent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1-5 days, P30D 6+ days) trajectory classes, separately, among US youth (12-17; N = 10,086) using the first 4 waves (2013-2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership.

RESULTS

Younger adolescents 12-15 years had lower tobacco use compared to 16-17 year olds and less stable classes. In the 16-17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors.

CONCLUSIONS

There was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products.

IMPLICATIONS

Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16-17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products.

Associations of attention problems and family context in childhood and adolescence with young adult daily smoking: General and smoking-specific family contexts

BACKGROUND

The potential heterogeneity in daily smoking across young adulthood has been relatively understudied. Relatedly, the unique and joint associations of earlier risk factors with young adults' daily smoking largely remain unknown. To address these gaps, this work identified subgroups of daily smoking trajectories during young adulthood and linked them to earlier attention problems and smoking-specific and general family context.

METHODS

Data came from the Seattle Social Development Project, a longitudinal study following a community sample (N = 808). Participants' daily smoking was measured from ages 21-33. Earlier attention problems were assessed at ages 14-16 and 18. Earlier smoking-specific and general family factors were assessed at ages 10-16 and 18.

RESULTS

Growth mixture models produced four profiles: chronic daily smokers, increasers, decreasers, and no-daily smokers. Results from multinomial logistic regressions revealed that earlier attention problems and smoking-specific family factors may contribute to daily smoking in the early 20 s, whereas earlier general family context provided protection for trajectories of daily smoking characterized by changes in the late 20 s and early 30 s DISCUSSION: Selective prevention strategies that expand people's repertoire of healthy options to address attention problems might be helpful, considering the possibility of using tobacco as means to mitigate attention problems. Our findings also highlight the importance of nurturing earlier general family context, a relatively overlooked dimension in smoking prevention efforts, to facilitate young adult smokers' desistence from daily smoking, particularly those who have attention problems in adolescence.

Transitions between tobacco products: Correlates of changes in cigarette smoking and e-cigarette use among exclusive adult smokers and dual users in Mexico

This study examined transitions in tobacco products use among Mexican smokers and dual users. Data were analyzed from exclusive smokers (n = 2,946) and dual users (n = 1,643) recruited from an online consumer research panel and surveyed every-four months from November 2018 to April 2021. For exclusive smokers, estimated transitions were (time "t + 1" four months after prior survey): a) remain as exclusive smokers; b) dual use; c) exclusive e-cigarette use or quit both products. Among dual users, transitions analyzed were: a) remain as dual user; b) exclusive smoker; c) exclusive e-cigarette user or quit both products. Multinomial models regressed transitions at "t + 1" on time "t" for control variables. Most exclusive smokers (81%) remained as such, 12.6% transitioned to dual use, 2.3% to exclusive e-cigarette use, and 4% quitted both products. Exclusive smokers were more likely to transition to dual use if they recently attempted to quit (AOR = 1.45) or had partners/family or friends who used e-cigarettes (AOR = 2.47 & 2.56 respectively). Most dual users (74.8%) remained as dual users, 20.4% transitioned to exclusive smoking, 1.6% transitioned to exclusive e-cigarette use, and 3.2% quitted both products. Dual users were more likely to transition to exclusive smoking if they had lower educational attainment, recently attempted to quit e-cigarettes (AOR = 1.70). Having friends who use e-cigarettes (AOR = 0.29) and higher smoking dependence (AOR = 0.55) were associated with a lower likelihood of quitting. Recent quit attempts and e-cigarette use among close social network members may explain the short-term transitions, though longer follow-up is needed to assess sustained smoking cessation.

Developmental trajectories of tobacco use and risk factors from adolescence to emerging young adulthood: a population-based panel study

BACKGROUND

Adolescence to young adulthood is a critical developmental period that determines lifelong patterns of tobacco use. We examined the longitudinal trajectories of tobacco use, and risk factors for its use, and explored the association between the trajectories of mobile phone dependency and smoking throughout the life-course among adolescents and young adults.

METHODS

Data of 1,723 subjects (853 boys and 870 girls) were obtained from six waves of the Korean Children and Youth Panel Survey (mean age = 13.9-19.9 years). To identify trajectories of smoking and mobile phone dependency, group-based trajectory modelling (GBTM) was conducted. A multinomial logistic regression analysis was performed to identify the characteristics of the trajectory groups.

RESULTS

GBTM identified four distinct smoking trajectories: never smokers (69.1%), persistent light smokers (8.7%), early established smokers (12.0%), and late escalators (10.3%). Successful school adjustment decreased the risk of being an early established smoker (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.27-0.78). The number of days not supervised by a guardian after school was positively associated with the risk of being an early established smoker (OR 1.96, 95% CI 1.23-3.13). Dependency on mobile phones throughout the life-course was positively associated with the risk of being a persistent light smoker (OR 4.04, 95% CI 1.32-12.34) or early established smoker (OR 8.18, 95% CI 4.04-16.56).

CONCLUSIONS

Based on the group-based modeling approach, we identified four distinctive smoking trajectories and highlight the long-term effects of mobile phone dependency, from early adolescence to young adulthood, on smoking patterns.

Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults

INTRODUCTION

In recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted.

METHODS

We analyzed data from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority) in a 2-year, 5-wave longitudinal study (2018-2020). Latent growth modeling analyzed the outcomes of past 6-month use of cigarettes, e-cigarettes, traditional cigars, little cigars/cigarillos, smokeless tobacco (SLT), hookah, and cannabis across Waves 1-5 among all participants; psychosocial predictors included depressive symptoms, adverse childhood experiences (ACEs), and personality traits.

RESULTS

Results indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness.

CONCLUSIONS

Interventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.

Early to Midlife Smoking Trajectories and Cognitive Function in Middle-Aged US Adults: the CARDIA Study

BACKGROUND

Smoking starts in early adulthood and persists throughout the life course, but the association between these trajectories and midlife cognition remains unclear.

OBJECTIVE

Determine the association between early to midlife smoking trajectories and midlife cognition.

DESIGN

Prospective cohort study.

PARTICIPANTS

Participants were 3364 adults (mean age = 50.1 ± 3.6, 56% female, 46% Black) from the Coronary Artery Risk Development in Young Adults (CARDIA) study: 1638 ever smokers and 1726 never smokers.

MAIN MEASURES

Smoking trajectories were identified in latent class analysis among 1638 ever smokers using smoking measures every 2-5 years from baseline (age 18-30 in 1985-1986) through year 25 (2010-2011). Poor cognition was based on cognitive domain scores ≥ 1 SD below the mean on tests of processing speed (Digit Symbol Substitution Test), executive function (Stroop), and memory (Rey Auditory Verbal Learning Test) at year 25.

RESULTS

Five smoking trajectories emerged over 25 years: quitters (19%), and minimal stable (40%), moderate stable (20%), heavy stable (15%), and heavy declining smokers (5%). Heavy stable smokers showed poor cognition on all 3 domains compared to never smoking (processing speed AOR = 2.22 95% CI 1.53-3.22; executive function AOR = 1.58 95% CI 1.05-2.36; memory AOR = 1.48 95% CI 1.05-2.10). Compared to never smoking, both heavy declining (AOR = 1.95 95% CI 1.06-3.68) and moderate stable smokers (AOR = 1.56 95% CI 1.11-2.19) exhibited slower processing speed, and heavy declining smokers additionally had poor executive function. For minimal stable smokers (processing speed AOR = 1.12 95% CI 0.85-1.51; executive function AOR = 0.97 95% CI 0.71-1.31; memory AOR = 1.21 95% CI 0.94-1.55) and quitters (processing speed AOR = 0.96 95% CI 0.63-1.48; executive function AOR = 0.98 95% CI 0.63-1.52; memory AOR = 0.97 95% CI 0.67-1.39), no association was observed.

CONCLUSIONS

The association between early to midlife smoking trajectories and midlife cognition was dose-dependent. Results underscore the cognitive health risk of moderate and heavy smoking and the potential benefits of quitting on cognition, even in midlife.

Illegal Drug Use, Depressive Symptoms, and General Health: Exploring Co-occurrence across 11 Years in a National Sample

The co-occurrence of illegal drug use, symptoms of depression, and a lower perception of general health among adolescents continues to be of substantive interest for researchers and the general public alike. Research on this topic, however, remains relatively stagnant, focusing on narrow developmental periods and each association independently, with limited consideration for the existence of a nexus between the three constructs as individuals age. Considering these limitations, the current study examines the longitudinal progression, from adolescence to early adulthood, of illegal drug use, symptoms of depression, and a lower perception of general health. The National Longitudinal Survey of Youth 1997 (NLSY97; N = 8,984), measures over an eleven-year data collection period, and between-and within-individual analytical strategies were used to evaluate the nexus between the constructs. The findings suggested that illegal drug use, depressive symptoms, and general health at previous time periods directly and indirectly predicted illegal drug use, depressive symptoms, and general health at subsequent time periods. Moreover, the within-individual change in illegal drug use was associated with the change in depressive symptoms, and the change in depressive symptoms was associated with the change in general health. Practitioners should consider this co-occurrence when treating symptoms related to illegal drug use, symptoms of depression, and physical health.

The Effect of Interventions That Target Multiple Modifiable Health Behaviors on Symptoms of Anxiety and Depression in Young People: A Meta-Analysis of Randomized Controlled Trials

PURPOSE

This meta-analysis aimed to determine the effect of interventions targeting multiple modifiable health behaviors (i.e., physical activity/sedentary behaviors, nutrition/diet, sleep, substance use) on depression and anxiety in young people.

METHODS

A search of electronic databases from inception until May 2020 was conducted. Randomized controlled trials (RCTs) that explicitly targeted at least two modifiable health behaviors, measured anxiety or depression at baseline and after intervention using a validated instrument, and included participants with an average age between 12 and 25 years were included. The effect of interventions was synthesized using random effects meta-analysis.

RESULTS

A total of 14 RCTs reporting on depression and six RCTs reporting on anxiety were included in the quantitative synthesis. Results showed that although interventions targeting multiple modifiable health behaviors did not produce significant reductions in symptoms of depression (g¯ = -.16, 95% confidence interval [CI] = [-.34, .02], 95% prediction interval [PI] = [-.80, .48], very low certainty evidence) or anxiety (g¯ = -.55, 95% CI = [-1.36, .26], 95% PI = [-3.48, 2.83], very low certainty evidence) across all young people, there was a significant difference in the effect of interventions on depression based on intervention type (Q = 8.37, df = 2, p = .012). Specifically, interventions targeting multiple modifiable health behaviors delivered to groups of young people with an elevated risk of depression had a favorable effect (g¯ = -.28, 95% CI = [-.52, -.05], 95% PI = [-1.04, .47]) on symptoms of depression compared with controls.

CONCLUSIONS

Although not universally effective, this meta-analysis establishes the potential efficacy of targeted interventions aiming to improve multiple modifiable health behaviors to address depression in young people at elevated risk of depression. More research is needed to understand the effect of such interventions on symptoms of anxiety in young people.

Cigar Use Progression Among New Cigar Initiators: A Two-Part Growth Curve Analysis Among a Youth and Young Adult Cohort

INTRODUCTION

Youth and young adults (YYAs) are at high risk of cigar use. This study's objective was to examine progression and sociodemographic differences in current cigar use and frequency among new cigar initiators.

AIMS AND METHODS

We conducted a two-part latent growth model among a nationally representative cohort of cigar initiators (aged 15-25) to examine 24-month trajectories of current cigar use and frequency (n = 1483). The cohort was recruited via address-based sampling with online data collection from 2014 to 2019 and surveyed approximately every 6 months.

RESULTS

The unconditional odds of current cigar use (ie, past 30-day use) within 6 months of initiation was 0.72 (95% confidence interval: 0.63, 0.82), corresponding to a probability of 42%. The odds of current use among recent cigar initiates declined 6 months after initiation and was followed by a stabilization in use over time. Among continued users, frequency (# days used in past 30 days) increased linearly over time but remained low (3.47 days/months at 24 months). Younger individuals, non-Hispanic African Americans, those with lower subjective financial status, and current users of cigarettes, other tobacco products and/or marijuana were at highest risk within 6 months of initiation. Males, younger users, and current cigarette smokers had the highest risk for cigar progression over time.

CONCLUSIONS

This study is the first to examine longitudinal cigar use patterns among YYA cigar initiators. Findings emphasize the need for research across the cigar use spectrum and the importance of interventions targeted by age, stage of use, cigarette, other tobacco, and marijuana use and key sociodemographics to interrupt use pathways.

IMPLICATIONS

This study is the first to examine progression of cigar use among YYAs who have newly initiated cigars. Results show a high probability of current cigar use within 6 months of initiation followed by a rapid decline and stabilization over time. Frequency increases among those who continue using cigars. Males, younger users, and current cigarette smokers had the highest risk for cigar progression over time. Findings emphasize the need for targeting interventions by age, stage of use, cigarette, other tobacco, and marijuana use and key sociodemographics to interrupt use pathways.

A Longitudinal Examination of Behavioral Transitions among Young Adult Menthol and Non-Menthol Cigarette Smokers Using a Three-State Markov Model

INTRODUCTION

Young adult cigarette smoking behaviors are complex and dynamic. Emerging research suggests a growing rate of switching from non-menthol to menthol cigarettes. Transitions across cigarette smoking states are not well understood. This research longitudinally explores transitions in cigarette smoking behaviors among 18-29 year olds.

METHODS

We applied a Markov model to data collected biannually for 1542 initially 18-29 year old young adults (mean age: 20.9 years; SD = 2.6) in Texas, who provided 7021 total observations from Fall 2014 to Spring 2017. All participants were past 30 day menthol or non-menthol cigarette smokers at first observation. We examined transitions across three states of cigarette smoking (menthol, non-menthol, and nonsmoking) and compared predictors of each transition, during young adulthood.

RESULTS

Descriptively, 22.2% of menthol and 14.3% of non-menthol smokers switched products while 25.6% of menthol and 26.0% of non-menthol smokers quit smoking. Among quitters, 20.0% relapsed via menthol and 28.2% relapsed via non-menthol cigarettes. Results from Markov model indicated that Hispanic/Latinos (Hazard Ratio [HR]: 3.69) and Asians (HR: 2.85) were significantly more likely to switch from non-menthol to menthol cigarettes, relative to non-Hispanic whites. Among recent quitters, the use of non-cigarette products was associated with increased risk of relapse via menthol (HR: 1.54) and non-menthol (HR: 1.85) cigarettes.

CONCLUSION

A substantial proportion of young adult cigarette smokers transitioned across cigarette smoking states over the course of 2.5 years. Other tobacco use and nicotine dependence were impediments to becoming and remaining a non-smoker. Hispanic/Latinos and Asians, relative to non-Hispanic whites, had greater odds of transitioning from non-menthol smoking to both non-smoking and to menthol smoking. Findings suggest racial/ethnic differences in cigarette smoking transitions during young adulthood.

IMPLICATIONS

This paper examined multidirectional transitions across cigarette smoking, including switching between menthol and non-menthol cigarettes, among young adults. Results indicate that Hispanic/Latino and Asian young adults are at increased risk of transition to menthol cigarette smoking compared with non-Hispanic white young adults. Findings highlight need for further study of Hispanic/Latino and Asian young adult smoking behaviors.

"I smoked that cigarette, and it calmed me down": A qualitative analysis of intrapersonal, social, and environmental factors influencing decisions to smoke among youth experiencing homelessness

INTRODUCTION

Approximately 70% of youth experiencing homelessness smoke cigarettes; many try to quit and are interested in formal smoking cessation programs. The purpose of this study was to describe the intrapersonal, social, and environmental contexts associated with the most recent smoking experience among youth experiencing homelessness and (2) identify differences in contextual factors by age and willingness to quit.

METHODS

Thirty-six youth experiencing homelessness aged 14-24 years and who reported current smoking were recruited from a drop-in center in a Midwestern city. Semi-structured in-person interviews were analyzed to understand smoking behaviors.

RESULTS

Two-thirds of participants reported stress and nicotine dependence as primary reasons for smoking, and older youth (aged 18-24 years) reported smoking to de-escalate negative emotions associated with stressful events. For 25% of participants, and especially older youth, smoking was described as part of a routine. Over 80% of participants smoked outside at the homeless drop-in center or the places they lived. Social prompts from drop-in center peers regularly preempted smoking. Younger youth (aged 14-17 years) reported smoking socially while older youth were more likely to smoke alone.

CONCLUSIONS

For youth experiencing homelessness, smoking is integrated into daily life and is often used to manage stress associated with homelessness and engage socially with homeless peers. Multicomponent interventions to reduce structural stressors specific to homelessness, change social smoking norms (environmental and social context), and address stress management and nicotine dependence (intrapersonal context) are needed to support smoking cessation among youth experiencing homelessness.

IMPLICATIONS

Youth experiencing homelessness overwhelmingly described how daily stressors associated with homelessness and nicotine dependence preceded recent smoking. Older youth (aged 18-24 years) also reported smoking as "routine", which likely underscores nicotine dependence in this group. Younger youth (aged 14-17 years) described social smoking. Researchers must develop optimized multilevel interventions to support youth experiencing homelessness who want to quit smoking. Interventions directly targeting social determinants of stress (e.g., poverty, housing instability, food insecurity) and linkages to supportive services are needed. Complementary strategies to address stress coping and nicotine dependence (intrapersonal context) and social smoking norms (social and environmental context) are also necessitated.

Social competence, leisure time activities, and smoking trajectories among adolescent boys: Data from The Korean Children & Youth Panel Survey

OBJECTIVES

The purpose of this study was to identify the trajectories and potential predictors of tobacco use during adolescence in Korea and to develop appropriate strategies for the implementation of tobacco use prevention programs.

METHODS

The trajectory of tobacco use and associated predictors were analyzed for 1,169 male students from grade 6 (age 11-12) to grade 10 (age 15-16) in the Korean Children & Youth Panel Survey from 2012 to 2016.

RESULTS

Three trajectories of smoking experience were identified: non-smokers (class 1: n=775, 82.3%), temporary users (class 2: n=32, 3.4%), and regular users (class 3: n=135, 14.3%). When compared to non-smokers, temporary users had a higher likelihood of living with a single parent, dissatisfaction with grades, having a girlfriend, having been victimized at least once, and having at least 1 delinquent friend in grade 7 (when smoking experimentation was at its peak). Significant factors associated with regular use included having a girlfriend, committing at least 1 type of delinquent behavior, and being a non-reader. Committing at least 1 type of delinquent behavior and having at least 1 delinquent friend were associated with regular users, distinguishing them from temporary users.

CONCLUSIONS

Understanding why adolescents exhibit different trajectories of tobacco use by identifying the factors associated with each trajectory can contribute to the development of tailored prevention strategies and early cessation programs for adolescents.

Longitudinal trajectories of E-cigarette use among adolescents: A 5-year, multiple cohort study of vaping with and without marijuana

E-cigarette use harms adolescent health, yet it continues to escalate rapidly among teens nationwide. This longitudinal study sought to identify and differentiate between developmental trajectories of past 30-day e-cigarette use with and without marijuana (i.e., liquid THC) across adolescence (11-19 years old). Three population-based cohorts of adolescents (n = 3907; N = 461,069) living in major metropolitan areas of Texas (Houston, Dallas-Ft. Worth, San Antonio, Austin) completed up to 9 Waves of an e-cigarette use survey, from 2014 to 2019. Growth curve models (GCMs) were used to identify average trajectories of past 30-day e-cigarette use, by cohort. Growth mixture models (GMMs) were used to investigate developmental patterns in these trajectories, by cohort. Sociodemographic differences in trajectories were also investigated. Stable trajectories of e-cigarette use with and without marijuana were identified, from 11 through 19 years of age. Trajectories varied by age of onset; frequency and escalation in use; and substance used. With one exception, all trajectories of e-cigarette use escalated with age. Moreover, age of onset and progression in use were positively related. The most problematic trajectories, corresponding to more frequent use, were observed among the younger cohorts compared to the oldest. Primary prevention is critical. Interventions to prevent the onset and progression in e-cigarette use among teens must begin early (e.g., in middle school) and be sustained throughout adolescence.

Adolescent E-cigarette Users at Highest Risk of Cigarette Smoking Intention

Objectives: Adolescent e-cigarette users are at risk of developing smoking intention, an established predictor of conventional cigarette smoking. In this study, we identify subgroups of adolescent e-cigarette users who are most likely to intend to smoke conventional cigarettes. Methods: Cross-sectional data on 1357 8th and 10th grade e-cigarette users who had never smoked conventional cigarettes were obtained from 2014-2017 Monitoring the Future Surveys. We conducted latent class analysis to identify subgroups of adolescent e-cigarette users; through latent class regression analysis, we examined the association between subgroup membership and smoking intention. Results: We identified 3 subgroups of adolescent e-cigarette users: socially-protected (56.6%), peer-driven (29.8%), and market-vulnerable (13.6%). The peer-driven class reported the highest number of peers who smoke and the lowest proportion of friends who strongly disapproved of daily cigarette smoking. They were significantly more likely than the socially-protected and market-vulnerable classes to have smoking intention (AOR=2.46; 95% CI 1.84-3.28, and AOR=2.29; 95% CI 1.48-3.53, respectively). Conclusion: Our findings provide insights on the constellation of risk and protective factors that contribute to smoking intention among adolescent e-cigarette users. It highlights peer influence as an important area of emphasis for adolescent smoking prevention programs.

Longitudinal pathways of exclusive and polytobacco cigarette use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016)

OBJECTIVE

Cigarettes are the most harmful and most prevalent tobacco product in the USA. This study examines cross-sectional prevalence and longitudinal pathways of cigarette use among US youth (12-17 years), young adults (18-24 years) and adults 25+ (25 years and older).

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 adults and youth. Respondents with data at all three waves (youth, N=11 046; young adults, N=6478; adults 25+, N=17 188) were included in longitudinal analyses.

RESULTS

Among Wave 1 (W1) any past 30-day (P30D) cigarette users, more than 60%, persistently used cigarettes across three waves in all age groups. Exclusive cigarette use was more common among adult 25+ W1 P30D cigarette users (62.6%), while cigarette polytobacco use was more common among youth (57.1%) and young adults (65.2%). Persistent exclusive cigarette use was the most common pathway among adults 25+ and young adults; transitioning from exclusive cigarette use to cigarette polytobacco use was most common among youth W1 exclusive cigarette users. For W1 youth and young adult cigarette polytobacco users, the most common pattern of use was persistent cigarette polytobacco use.

CONCLUSIONS

Cigarette use remains persistent across time, regardless of age, with most W1 P30D smokers continuing to smoke at all three waves. Policy efforts need to continue focusing on cigarettes, in addition to products such as electronic nicotine delivery systems that are becoming more prevalent.

Race/Ethnicity, Parental Support, and Youth Depressive Symptoms: A Moderated Longitudinal Mediation Analysis

Racial/ethnic disparities in depression exist among youth in the United States. The purpose of this study was to determine if parental support trajectories in adolescence explain the relationship between race/ethnicity and depressive symptom trajectories in adulthood. A two-step longitudinal parallel process analysis with multigroup structural equation modeling was conducted with a nationally representative sample of youth (N = 5300; 48.5% female; M = 13.33 (Range:12-15) years at baseline). While parental support trajectories did not mediate the relationship between race/ethnicity and depressive symptoms, parental support trajectories were related to depressive symptom trajectories in adulthood. Immigrant generation status also moderated the relationship between race/ethnicity and depressive symptom trajectories. The results demonstrate the impact of parental support on later mental health outcomes regardless of race/ethnicity.

Associations between smoking trajectories, smoke-free laws and cigarette taxes in a longitudinal sample of youth and young adults

Cigarette smoking patterns vary within the population, with some individuals remaining never smokers, some remaining occasional users, and others progressing to daily use or quitting. There is little research on how population-level tobacco control policy interventions affect individuals within different smoking trajectories. We identified associations between tobacco control policy interventions and changes across different smoking trajectories among adolescents and young adults. Using 15 annual waves of data drawn from the National Longitudinal Survey of Youth 1997 (NLSY97), we applied a group-based trajectory model to identify associations between days smoked per month, comprehensive smoke-free laws, cigarette tax rates, and known socio-demographic risk factors for membership in different smoking trajectories. Comprehensive smoke-free laws were associated with reduced risk of initiation and reductions in days smoked per month for all trajectories other than occasional users. Higher tax rates were associated with reduced risk of initiation and days smoked for all trajectories other than established users. Overall, population-based tobacco control policies, particularly comprehensive smoke-free laws, were associated with reduced smoking. Tobacco taxes primarily reduced risk of initiation and use among never smokers, experimenters, and quitters, consistent with previous research suggesting that tobacco manufacturers lower prices after tax increases to reduce the cost of continued smoking for established users. These results provide support for expanding smoke-free laws and establishing a minimum tobacco floor price, which could improve public health by reducing the risk of initiation as well as use among occasional and established smokers.

Tobacco Use Trajectories in Young Adults: Analyses of Predictors Across Systems Levels

INTRODUCTION

Research is needed to examine trajectories of tobacco use beyond cigarette smoking, particularly during emerging middle young adulthood, and to identify distinct multilevel influences of use trajectories.

AIMS AND METHODS

We examined (1) tobacco use trajectories over a 2-year period among 2592 young adult college students in a longitudinal cohort study and (2) predictors of these trajectories using variables from a socioecological framework, including intrapersonal-level factors (eg, sociodemographics, psychosocial factors [eg, adverse childhood experiences, depressive symptoms, and attention-deficit hyperactivity disorder symptoms], early-onset substance use), interpersonal factors (eg, social support, parental substance use), and community-level factors (eg, college type, rural vs. urban).

RESULTS

About 64.5% were female and 65.0% were white. From age 18 to 26, 27%-31% of participants reported past 30-day use of any tobacco product. We identified four trajectory classes: Abstainers/Dabblers who never or infrequently used (89.2%); Adult users who began using frequently around age 20 and continued thereafter (5.9%); College Smokers who began using before 19 but ceased use around 25 (2.5%); and Teenage users who used during their teenage years but ceased use by 22 (1.9%). Multinomial regression showed that, compared to Abstainers/Dabblers, significant predictors (p < .05) of being (1) Adult users included being male, earlier onset marijuana use, attending public universities or technical colleges (vs. private universities), and living in urban areas; (2) College users included being male, earlier onset marijuana use, and parental alcohol or marijuana use; and (3) Teenage users included only earlier onset marijuana use.

CONCLUSION

Distinct prevention and intervention efforts may be needed to address the trajectories identified.

IMPLICATIONS

Among young adult college students, the largest proportion of tobacco users demonstrate the risk of continued and/or progression of tobacco use beyond college. In addition, specific factors, particularly sex, earlier onset marijuana use, parental use of alcohol and marijuana, and contextual factors such as college setting (type of school, rural vs. urban) may influence tobacco use outcomes. As such, prevention and cessation intervention strategies are needed to address multilevel influences.

Why do Adolescents Initiate and Continue Using Tobacco and Areca Nut?: A Qualitative Study Tracing Pathways of Use Among School-Going Adolescents in Mumbai, India

BACKGROUND

Tobacco and areca-nut use among adolescents has been reported from different parts of India. Multiple factors influence initiation of tobacco use among adolescents. Initiation of one product gradually extends to multiple products. Studies on initiation lack documentation of the pathways and experiences post-initiation, which is required to holistically understand behavior patterns of adolescents for planning timely intervention. This study was conducted to trace pathways and identify factors influencing the initiation and continuation of tobacco and areca-nut among adolescents.

METHODS

In this two-staged study, we conducted 14 focus group discussions (FGDs) with 166 adolescents studying in grades 7-9 (11-18 years) from six municipal schools in Mumbai, India. They had self-reported areca-nut or smoked or smokeless tobacco (SLT) use. Pathways of initiation were traced through in-depth interviews for 60 adolescents.

RESULTS

Four multi-linear pathways of use were identified: (1) areca-nut only, (2) areca-nut to tobacco, (3) initiation with SLT, and (4) initiation with smoking. Raw or sweetened areca-nut, betel leaf, gutka, masheri, mawa, hookah, cigarette, bidi, and e-cigarettes were products reported to be used. Curiosity, easy access to tobacco products and normalization of tobacco use influenced initiation. Areca-nut acted as a precursor to tobacco use.

CONCLUSION

Tracing pathways in tobacco use helped to understand reasons for initiation, influences in continuation of use, and experiences of significance to the adolescents. Experiences of adolescents play a critical role in shaping the pathways of tobacco use. Understanding the pathways and influencers will further help to build effective health promotion communication, policies for sale to minors, and school-based cessation interventions.

IMPLICATIONS

Findings of the study provide an insight into unknown areas of information regarding products used by adolescents, their patterns of consumption, perceptions, and their pathways of initiation and continuation of primary and secondary products. This will help in developing specific public health awareness messages, policies regarding packaging and sale of areca-nut to children and interventions targeted for the adolescents and their specific products of use not just in India but for the South-East Asia region as areca-nut and tobacco use among adolescents is common in the region. The exercise of tracing the pathways provides basis for cessation counseling among adolescents.

Heterogeneity in past-year smoking, current tobacco use, and smoking cessation behaviors among light and/or non-daily smokers

INTRODUCTION

Prevalence of light daily smoking, <10 cigarettes per day (CPD), and non-daily smoking has increased in the US population. This analysis examined the heterogeneity in past-year smoking behavior, current tobacco use behaviors, and smoking cessation behaviors among light and/or non-daily smokers.

METHODS

Current adult (≥18 years old) smokers (N=26196) participated in the 2010–2011 US Current Population Survey – Tobacco Use Supplement, which reported current (T1) and past 12-month (T0) smoking behaviors. Responses were categorized by intensity (light ≤10 CPD vs heavy >10 CPD) and frequency (non-daily vs daily). Combinations of T0 and T1 smoking behaviors resulted in 15 smoking trajectories ending in light/non-daily smoking and a 16th category of heavy daily smokers at T1. Differences in demographics, tobacco use, and smoking cessation behaviors were assessed by using weighted multivariable regression models.

RESULTS

Overall, 46.1% of US smokers were heavy smokers, 24.6% remained light daily smokers and 12.5% remained light non-daily smokers between T0 and T1. Current cigar, smokeless tobacco, and pipe use differed by smoking trajectories (p<0.05). All light and/or non-daily smokers were more likely than heavy daily smokers to have made a quit attempt (p<0.05) but use of cessation treatments varied. Smokers in many light and/or non-daily smoking trajectories were less likely than heavy daily smokers to be aided by healthcare providers for smoking cessation (p<0.05).

CONCLUSIONS

Among heavy daily smokers who became light non-daily smokers, the mismatch between intent to quit (80.9%) and receiving advice to set a quit date (33.7%) is one example of a potential opportunity for a clinical intervention.

A systematic review of cigarette smoking trajectories in adolescents

Trajectory analyses differentiate subgroups of smokers based on early patterns of cigarette use, but no study has summarized this literature. We systematically reviewed the literature on adolescent cigarette smoking trajectories to document the number and shapes of trajectories identified, assess if certain study characteristics influence the number or shapes of trajectories identified, summarize factors associated with and outcomes of trajectory group membership, and assess whether the results of trajectory analyses help identify windows of opportunity for intervention. We searched PubMed and EMBASE (1/1/1980 to 1/11/2018) and identified 1695 articles. Forty-three articles with data from 37 unique datasets were retained. Each trajectory was categorized into one of three groups (i.e., low-stable, increasing, other). Number of trajectories ranged from 2 to 6 (mode = 4); 44-76% of participants were low-stable cigarette consumers, 11-21% increased consumption, and 3-11% were categorized as "other." Number of data points, smoking indicator used, and time axis influenced the number of trajectories identified. Only two articles depicted the natural course of smoking since onset. Factors associated with trajectory membership included age, sex/gender, race/ethnicity, parental education, behavior problems, depression, academic performance, baseline cigarette use, parental and friends smoking, alcohol use, and cannabis use. Outcomes included illicit drug and alcohol use. Beyond parsimoniously describing cigarette smoking patterns, it is not clear whether trajectory analyses offer increased insight into the natural course, determinants or outcomes of cigarette smoking in ways that inform the development of intervention.

Research on Youth and Young Adult Tobacco Use, 2013-2018, From the Food and Drug Administration-National Institutes of Health Tobacco Centers of Regulatory Science

The Tobacco Regulatory Science Program is a collaborative research effort between the National Institutes of Health (NIH) and the Food and Drug Administration (FDA). In 2013, the NIH funded 14 Tobacco Centers of Regulatory Science (TCORS), which serve as partners in establishing research, training, and professional development programs to guide FDA. Each of the fourteen TCORS, and two other NIH-funded research programs, the Center for the Evaluation of Nicotine in Cigarettes (CENIC) and the Consortium on Methods Evaluating Tobacco (COMET), pursued specific research themes relevant to FDA's priorities. A key mandate for FDA is to reduce tobacco use among young people. This article is a review of the peer-reviewed research, including published and in-press manuscripts, from the TCORS, CENIC, and COMET, which provides specific data or other findings on youth (ages 10-18 years) and/or young adults (ages 18-34 years), from 2013 to 2018. Citations of all TCORS, CENIC, and COMET articles from September 2013 to December 2017 were collected by the TCORS coordinating center, the Center for Evaluation and Coordination of Training and Research. Additional citations up to April 30, 2018 were requested from the principal investigators. A scoring rubric was developed and implemented to assess study type, primary theme, and FDA priority area addressed by each article. The major subareas and findings from each priority area are presented. There were 766 articles in total, with 258 (34%) focusing on youth and/or young adults. Findings relevant to FDA from this review concern impact analysis, toxicity, health effects, addiction, marketing influences, communications, and behavior.

IMPLICATIONS

The Tobacco Centers of Regulatory Science, CENIC, and COMET have had a high output of scientific articles since 2013. These Centers are unique in that the FDA supports science specifically to guide future regulatory actions. The 258 articles that have focused on youth and/or young adults are providing data for regulatory actions by the FDA related to the key priority areas such as the addictiveness of non-cigarette products, the effects of exposure to electronic cigarette marketing on initiation and cessation, and the impact of flavored products on youth and young adult tobacco use. Future regulations to reduce tobacco use will be guided by the cumulative evidence. These Centers are one innovative mechanism to promote important outcomes to advance tobacco regulatory science.

Peers, Perceptions, and E-Cigarettes: A Social Learning Approach to Explaining E-Cigarette Use Among Youth

This study uses social learning theory to examine whether differential associations with e-cigarette-using peers is related to personal e-cigarette use among youth, and the extent to which this relationship is explained by personal risk perceptions of e-cigarettes. Moreover, this study tests whether the mediation process is moderated by type of e-cigarette user. This study uses a sample of high school seniors from the 2016 Monitoring the Future Study ( N = 2,100), and a subsample of e-cigarette users ( n = 523). Analyses are carried out using OLS and logistic regression. Findings demonstrate that higher levels of peer e-cigarette use are related to higher odds of personal e-cigarette use, but that risk perceptions of e-cigarettes only explain a modest portion of that relationship (about 10%). Furthermore, the mediation process does not appear to vary by type of e-cigarette user. Future directions and policy implications are discussed.

Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016)

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.

The Interplay Between Tobacco Dependence and Sleep Quality Among Young Adults

Objective/Background: Sleep disturbances are considered among the negative consequences of smoking. However, the relationship between sleep quality and smoking among young adults, a population in which the prevalence of smoking is highest, has scarcely been examined. The current study aimed at examining differences in sleep indices, assessed by both subjective and objective (actigraphy) measures, between smokers and nonsmokers, and whether such differences are associated with levels of nicotine dependence. Participants: Eighty-six young (19-28 years old) volunteers, of them 46 nonsmokers (69.6% women) and 40 regular smokers (70.0% women) smoking at least 10 cigarettes a day. Methods: The participants completed the State-Trait Anxiety Inventory, Beck Depression Inventory, Brief Questionnaire on Smoking Urges, the Fagerstrom Test for Nicotine Dependence, and the Pittsburgh Sleep Quality Index. Their sleep was monitored objectively for one week using an actigraph. Results: Smokers' self-reported sleep quality was similar to that of nonsmokers. However, actigraphy data pointed to lower sleep continuity in smokers compared to nonsmokers as reflected by increased wake time after sleep onset (Mean ± SD: 18.56 ± 15.29 vs. 11.21 ± 11.19, p < .01) and decreased sleep efficiency (Mean ± SD: 95.63 ± 3.53 vs. 97.23 ± 2.62, p < .012). Total sleep time and sleep onset latency did not differ between the groups. Notably, severity of nicotine dependence was negatively associated with sleep efficiency (β = -.32; p < .05). Conclusion: Young adult smokers have lower sleep continuity without necessarily subjectively experiencing their sleep as poor. Nevertheless, their lower sleep continuity is related to their level of nicotine dependence.

Trends in Smoking Behaviors Among US Adolescent Cigarette Smokers

INTRODUCTION

Identifying trends in smoking behaviors among youth cigarette smokers could inform youth policy and interventions.

METHODS

Using 2011-2018 National Youth Tobacco Survey data, logistic/linear regressions were used to analyze trends in smoking frequency, intensity, age of first cigarette use, and electronic cigarette (e-cigarette) use frequency among current smokers. Stratified analyses were conducted among male, female, middle school, and high school students and race and ethnicity subgroups separately.

RESULTS

From 2011 to 2018, there was a decrease in smoking ≥10 days (50.0% to 38.3%), ≥20 days (37.2% to 26.3%), and 30 days (26.6% to 18.2%) among current smokers. Smoking prevalence decreased among male, female, high school, non-Hispanic white, and non-Hispanic other students. Overall, light smoking (≤5 cigarettes per day [CPDs]) increased (76.6% to 82.7%), and moderate smoking (6-10 CPDs) decreased (10.7% to 8.3%). Trends in light, moderate, and heavy smoking varied by demographic groups. Age at first cigarette use increased among female (12.28 to 13.29), high school (12.91 to 13.18), and non-Hispanic other students (11.64 to 12.83) and decreased among male students (12.90 to 12.57). From 2014 to 2018, there was an increase in e-cigarette use frequency for ≥10 days (20.8% to 40.9%), ≥20 days (13.5% to 31.7%), and all 30 days (9.3% to 22%).

CONCLUSIONS

From 2011 to 2018, current youth cigarette smokers smoked fewer days and fewer CPDs, and age of first cigarette use increased. However, over time, male youth smoked more heavily and started smoking earlier. E-cigarette use increased from 2014 to 2018. Differences by demographic characteristics can inform future research and interventions.

The Type and Timing of Child Maltreatment as Predictors of Adolescent Cigarette Smoking Trajectories

Background: There is limited research examining the association between child maltreatment and cigarette smoking as a specific type of adolescent substance use, and research examining high-risk samples and variations based on maltreatment type and timing remain sparse. Objectives: The primary aim of the study was to examine the relationship between child maltreatment and cigarette smoking trajectories. Methods: Latent class growth analysis and multinomial logistic regression were performed on 903 youth drawn from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN). Results: Three distinct classes of cigarette smoking trajectories were identified: (1) Stable no/low cigarette use (61%); (2) Gradually increasing cigarette use (30%); and (3) Sharply increasing cigarette use (9%). Physical abuse during early childhood and adolescence predicted membership in the sharply increasing cigarette use class. Neglect during early childhood predicted membership in the gradually increasing cigarette use class. Conclusions: Findings suggest that interventions for adolescent cigarette smoking should integrate trauma-informed approaches. Further, the results highlight early childhood and adolescence as particularly vulnerable periods with respect to the influence of physical abuse and neglect on cigarette smoking, pointing to the need for additional maltreatment prevention efforts during these developmental stages.

Smoking trajectories and risk of stroke until age of 50 years - The Northern Finland Birth Cohort 1966

Background

Smoking is a well-known risk factor for stroke. However, the relationship between smoking trajectories during the life course and stroke is not known.

Aims

We aimed to study the association of smoking trajectories and smoked pack-years with risk of ischemic and haemorrhagic strokes in a population-based birth cohort followed up to 50 years of age.

Methods

Within the Northern Finland Birth Cohort 1966, 11,999 persons were followed from antenatal period to age 50 years. The smoking behaviour was assessed with postal questionnaires at ages 14, 31 and 46 years. Stroke diagnoses were collected from nationwide registers using unique study number linkage. The associations between smoking behaviour and stroke risk were estimated using Cox regression models.

Results

Six different patterns in smoking habits throughout the life course were found in trajectory modelling. During 542,140 person-years of follow-up, 352 (2.9%) persons had a stroke. Continuous smoking during the life course was associated with increased stroke risk (HR = 1.69; 95% CI 1.10–2.60) after adjusting for sex, educational level, family history of strokes, leisure-time physical activity, body mass index, alcohol consumption, hypertension, hypercholesterolemia, and diabetes. Per every smoked pack-year the stroke risk increased 1.04-fold (95% CI 1.03–1.06). Other smoking trajectories were not significantly associated with stroke risk, nor were starting or ending age of smoking.

Conclusion

Accumulation of smoking history is associated with increased risk of stroke until age of 50 years. The increased stroke risk does not depend on the age at which smoking started. Given that the majority starts smoking at young age, primary prevention of strokes should focus on adolescent smoking.

Ecological momentary assessment of various tobacco product use among young adults

INTRODUCTION

Young adults are at high risk for using traditional and novel tobacco products. However, little is known about daily/weekly use patterns or psychosocial triggers for using various tobacco products.

METHODS

This ecological momentary assessment (EMA) study examined timing, tobacco cravings, affect, social context, and other substance use (alcohol, marijuana) in relation to use of cigarettes, electronic nicotine delivery systems (ENDS), and any tobacco product (i.e., cigarettes, ENDS, cigars, hookah), respectively. We also examined interactions between these predictors, sex, and race/ethnicity. From a longitudinal study of 3418 18-25 year-olds from seven Georgia colleges/universities, we recruited 72 reporting current tobacco use to participate in the 21-day EMA study; 43 participated, of which 31 completed ≥66% assessments and were analyzed. Cravings, affect, social context, and substance use were assessed daily across four four-hour windows.

RESULTS

Of the 31 participants, average age was 21.10 years (SD = 1.95), 45.2% were female, and 71.0% non-Hispanic White; 71.0% used cigarettes, 58.1% ENDS, 38.7% cigars, and 25.8% hookah (25.6% used one product, 46.5% two, 27.9% ≥ three). Predictors of cigarette use included higher anxiety, greater odds of marijuana and alcohol use, and higher boredom levels among women. Predictors of ENDS use included being non-White and greater odds of marijuana use, as well as higher tobacco cravings among women and higher boredom among men. Predictors of any tobacco product use included being non-White, higher boredom levels, and greater odds of marijuana and alcohol use.

CONCLUSIONS

Distinct interventions may be needed to address use of differing tobacco products among young adults.

Predictors of Smokeless Tobacco Susceptibility, Initiation, and Progression Over Time Among Adolescents in a Rural Cohort

BACKGROUND

Use of smokeless tobacco (ST, moist snuff and chewing tobacco) is elevated among male rural youth, particularly participants in certain sports, including baseball.

OBJECTIVES

This study aimed to assess factors associated with adolescent male athletes' ST-related behaviors over time, including: baseline use, initiation, and progression in use intensity in a school-based longitudinal cohort.

METHODS

Baseline and one-year follow-up questionnaires assessed sociodemographic characteristics, environmental factors, and tobacco-related perceptions and behaviors among 9- to12th-grade interscholastic baseball players in 36 rural California schools. Population characteristics were compared among ST use categories (never, experimental, and experienced users). Multivariable models using generalized estimating equations were estimated for outcomes among baseline ST never-users (ST susceptibility and future initiation) and experimenters (ST expectations and progression in ST use).

RESULTS

Of 594 participants, over half (57%) had ever tried a tobacco product and the most common products tried were ST (36%) and electronic cigarettes (36%). Being older, perceiving less ST harm, being Non-Hispanic White, using alcohol or other tobacco products, having family or friends who use ST, and being receptive to advertising were associated with greater baseline ST use. Baseline alcohol consumption, lower perceived ST harm, peer use, and susceptibility and expectations were predictive of ST initiation and/or progression at one-year follow-up. Conclusion/Importance: Certain environmental, socio-demographic, cognitive, and behavioral factors predict ST susceptibility and later initiation and progression in use. Interventions addressing these factors have potential to prevent ST uptake and continued use within this high-risk adolescent population.

Longitudinal patterns of amphetamine use from adolescence to adulthood: A latent class analysis of a 20-year prospective study of Australians

BACKGROUND

To examine the longitudinal patterns of amphetamine use over twenty years from adolescence to the mid-thirties; and identify adolescent antecedents of future problematic patterns of use.

DESIGN

Ten-wave longitudinal study following participants from age 15 to age 35 in Victoria, Australia. Participants (N = 1755; 47% males) first enrolled in the Victoria Adolescent Health Cohort Study in 1992.

MEASUREMENTS

Outcome: Self-reported frequency of amphetamine use.

PREDICTORS

Gender, depression and anxiety, peer alcohol and tobacco use; self-reported alcohol, tobacco and cannabis use, self-reported adolescent antisocial behavior.

FINDINGS

Three different longitudinal patterns were identified: Non-user (83.7%); Occasional user (14.5%); Regular user (1.8%). Among the two user patterns, amphetamine use was commonly initiated in late teenage years or early 20s, peaked at mid-20s, and declined substantially by mid-30s. Participants who used cannabis and had smoking peers during adolescence were at significantly more likely to become an occasional or regular user (p <  .05).

CONCLUSION

Regular cannabis use and peer tobacco use during adolescence were the two strongest predictors of a longitudinal pattern of regular amphetamine use in the mid-30s. This suggests that prevention programs could be implemented around or before mid-adolescence and interventions to reduce amphetamine harms focus on high-risk individuals in their 20s when amphetamine use was at its peak.

A Sequential Explanatory Mixed Methods Study of Young Adult Tobacco and Marijuana Co-Use

Background: The co-occurring use of tobacco and marijuana among young adults is an important behavioral phenomenon within the field of substance use. Studying tobacco and marijuana use together among young adults can provide important insight into patterns of initiation and continuation. Objectives: The primary goal of this study was to examine characteristics associated with co-use among young adults and to discover the ways experiences of co-users can help contextualize trends in co-use. Methods: This study employed a sequential explanatory mixed methods design. Quantitative analyses used 12 years of nationally representative National Health and Nutrition Examination Survey (NHANES) data (2005-2016) to assess the characteristics and experiences of young adult (21-30) co-users. Results from analyses of NHANES, prior literature, and theoretical constructs were used to develop a guide for 20 in-depth, semi-structured interviews with young adult co-users living in the state of Maryland. Interviews were analyzed using thematic analysis. Quantitative results and qualitative findings were integrated. The original NHANES analysis occurred during October and November 2017, interviews took place during December 2017 and January 2018, and all mixed methods integration was conducted in 2018. Results: Tobacco and marijuana co-users have unique characteristics and experiences compared to single product users; the experiences of co-users can offer unique insights on co-use. Meta-inferences emerged from integration. Conclusions/importance: Co-users conceptualize tobacco and marijuana differently and hold different risk perceptions for each substance. Co-users may be at risk for polytobacco product use. These findings highlight the profound influence these two substances have on young adult co-users' experiences and behaviors.

"Tell them you smoke, you'll get more breaks": a qualitative study of occupational and social contexts of young adult smoking in Scotland

OBJECTIVE

To explore young adults' perceptions and experiences of smoking and their smoking trajectories in the context of their social and occupational histories and transitions, in a country with advanced tobacco control.

DESIGN

Indepth qualitative interviews using day and life grids to explore participants' smoking behaviour and trajectories in relation to their educational, occupational and social histories and transitions.

SETTING

Scotland.

PARTICIPANTS

Fifteen ever-smokers aged 20-24 years old in 2016-2017.

RESULTS

Participants had varied and complex educational/employment histories. Becoming and/or remaining a smoker was often related to social context and educational/occupational transitions. In several contexts smoking and becoming a smoker had perceived benefits. These included getting work breaks and dealing with stress and boredom, which were common in the low-paid, unskilled jobs undertaken by participants. In some social contexts smoking was used as a marker of time out and sociability.

CONCLUSIONS

The findings indicate that while increased tobacco control, including smokefree policies, and social disapproval of smoking discourage smoking uptake and increase motivations to quit among young adults, in some social and occupational contexts smoking still has perceived benefits. This finding helps explain why smoking uptake continues into the mid-20s. It also highlights the importance of policies that reduce the perceived desirability of smoking and that create more positive working environments for young adults which address the types of working hours and conditions that may encourage smoking.

Age of tobacco use initiation and association with current use and nicotine dependence among US middle and high school students, 2014-2016

INTRODUCTION

Tobacco use mostly begins in adolescence and young adulthood. Earlier age of initiation of cigarette smoking is associated with greater nicotine dependence and sustained tobacco use. However, data are limited on the age of initiation of non-cigarette tobacco products, and the association between using these products and nicotine dependence and progression to established use.

METHODS

Combined 2014-2016 National Youth Tobacco Survey data, a nationally representative cross-sectional survey of US students in grades 6-12 yielded 19 580 respondents who reported ever using any of five tobacco products: electronic cigarettes, cigarettes, cigars, smokeless tobacco and hookah. Analyses assessed age of reported first use of each product among ever-users, overall and by sex and race/ethnicity. Current daily use, past 30-day use, feelings of craving tobacco and time to first tobacco use after waking were assessed by age of first use.

RESULTS

Among ever-users, weighted median age for first use was 12.6 years for cigarettes, 13.8 years for cigars, 13.4 years for smokeless tobacco, 14.1 years for hookah and 14.1 years for e-cigarettes. First trying these tobacco products at age ≤13 years was associated with greater current use of the respective product and nicotine dependence compared with initiating use at age >13 years.

CONCLUSIONS

First tobacco use at age ≤13 years is associated with current daily and past 30-day use of non-cigarette tobacco products, and with the development of nicotine dependence among youth ever-users. Proven tobacco prevention interventions that reach early adolescents are important to reduce overall youth tobacco use.

Polydrug use trajectories and differences in impulsivity among adolescents

Background/Objective: Although alcohol, tobacco and cannabis are the most widely consumed drugs, sparse data exist regarding polydrug use in adolescents and its relationship with impulsivity. This study aims to identify trajectories of polydrug use and analyze differences in impulsivity between them. Method: A total of 1,565 adolescents (54.4% males; mean age = 13.02, SD = 0.57) were annually assessed over three years using the Barratt Impulsiveness Scale, the Zuckerman Impulsive Sensation Seeking Scale, a Stroop Test and a Delay Discounting Task. Frequency of alcohol, tobacco, and cannabis use, intoxication episodes and problem drinking were also assessed. Polydrug trajectories were identified using latent class mixed modelling. To examine differences in self-reported and behavioral impulsivity two mixed multivariate analyses of covariance were used. Results: Three trajectories of substance use were found. The 'Experimental use' and the 'Early use' trajectories presented the lowest and highest impulsivity, respectively. Substance use increases in the 'Telescoped used' trajectory were associated with parallel increases in impulsivity. Conclusions: individuals with divergent patterns of substance use during adolescence differ in their impulsiveness, primarily in general impulsivity and sensation seeking. Present findings suggest the relevance of these facets as possible targets for interventions preventing the onset and escalation of substance use.

Smoking susceptibility as a predictive measure of cigarette and e-cigarette use among early adolescents

OBJECTIVE

To assess the validity of a standard measure of smoking susceptibility for predicting cigarette and e-cigarette use in a sample of early adolescents in Argentina and Mexico.

MATERIALS AND METHODS

A school-based longitudinal survey was conducted in 2014-16 among secondary students. We analyzed students who were never smokers of regular cigarettes or e-cigarettes at baseline and who completed both surveys. The main independent variable was smoking susceptibility. Multilevel logistic regression models were used, adjusting for sociodemographic and personal variables, social network use of cigarettes and exposure to advertising.

RESULTS

In the adjusted analysis, smoking susceptibility independently predicted cigarette initiation (Argentina: AOR 2.28; 95%CI 1.66-3.14; Mexico: AOR 2.07; 95%CI 1.74-2.45) and current smoking (Argentina: AOR 3.61; 95%CI 2.48-5.24; Mexico: AOR 1.69; 95%CI 1.29-2.22); however, it only predicted e-cigarette initiation in Mexico (Mexico: AOR 1.29; 95%CI 1.02-1.63).

CONCLUSIONS

Smoking susceptibility was a valid measure to predict future cigarette smoking in this sample.

Cigarette use trajectories in young adults: Analyses of predictors across system levels

BACKGROUND

Cigarette smoking escalates most in early to middle young adulthood. However, little research has examined a range of multilevel factors in relation to smoking trajectories during this time.

METHODS

We examined: 1) trajectories of cigarette smoking among 2967 US college students (aged 18-25) in a two-year, six-wave longitudinal study (using growth mixture modeling); and 2) intrapersonal- (i.e., other substance use, depressive symptoms, ADHD symptoms,); interpersonal- (i.e., adverse childhood events, social support, parental tobacco and marijuana use), and community-level (i.e., type of college, rural vs. urban setting) predictors of differing trajectories (using multinomial logistic regression).

RESULTS

We identified three trajectory classes: 1) Dabblers, who used cigarettes at one point in their life or not at all (85.6%); 2) College Onset Smokers, who began smoking regularly during the college years (6.2%); and 3) Later Onset Smokers, who began smoking during the mid- to late-20 s (8.2%). Multinomial regression (with Dabblers as the reference group) showed that predictors of being College Onset Smokers included being male (p = .031); Asian (p = .001) but not Black (p = .008; Ref: White); early onset smokers (i.e., initiation before age 15; p = .006); past 30-day users of little cigars/cigarillos (p = .024), alcohol (p < .001), and marijuana (p = .008); children of tobacco users (p = .050); and public (p = .031) or a technical college students (p < .001; Ref: private college); predictors of being Later Onset Smokers were being male (p = .019) and technical college students (p = .005).

CONCLUSIONS

Despite some young adults' smoking initiating/escalating in middle young adulthood, few risk factors were documented. This understudied period warrants greater examination to inform intervention.

Impact of E-Cigarette Minimum Legal Sale Age Laws on Current Cigarette Smoking

PURPOSE

The purpose of this study was to use individual-level data to examine the relationship between e-cigarette minimum legal sale age (MLSA) laws and cigarette smoking among U.S. adolescents, adjusting for e-cigarette use.

METHODS

In 2016 and 2017, we regressed (logistic) current (past 30-day) cigarette smoking (from 2009-2014 National Youth Tobacco Surveys [NYTS]) on lagged (laws enacted each year counted for the following year) and unlagged (laws enacted January-June counted for that year) state e-cigarette MLSA laws prohibiting sales to youth aged <18 or <19 years (depending on the state). Models were adjusted for year and individual- (e-cigarette and other tobacco use, sex, race/ethnicity, and age) and state-level (smoke-free laws, cigarette taxes, medical marijuana legalization, income, and unemployment) covariates.

RESULTS

Cigarette smoking was not significantly associated with lagged MLSA laws after adjusting for year (odds ratio [OR] = .87, 95% confidence interval [CI]: .73-1.03; p = .10) and covariates (OR = .85, .69-1.03; p = .10). Unlagged laws were significantly and negatively associated with cigarette smoking (OR = .84, .71-.98, p = .02), but not after adjusting for covariates (OR = .84, .70-1.01, p = .07). E-cigarette and other tobacco use, sex, race/ethnicity, age, and smoke-free laws were associated with cigarette smoking (p <.05). Results unadjusted for e-cigarette use and other tobacco use yielded a significant negative association between e-cigarette MLSA laws and cigarette smoking (lagged: OR = .78, .64-.93, p = .01; unlagged: OR = .80, .68-.95, p = .01).

CONCLUSIONS

After adjusting for covariates, state e-cigarette MLSA laws did not affect youth cigarette smoking. Unadjusted for e-cigarette and other tobacco use, these laws were associated with lower cigarette smoking.

Thirty-day smoking in adolescence is a strong predictor of smoking in young adulthood

Thirty-day smoking, although a widely used measure of adolescent smoking (age 12-16), has been questioned as an accurate measure of young adult (age 26-30) smoking behavior, particularly when critiquing studies linking use of e-cigarettes with subsequent cigarette smoking. We used logistic regression to test two measures of 30-day adolescent smoking as predictors of young adult smoking in the National Longitudinal Survey of Youth 1997. Adjusting for psychosocial covariates, compared to those who smoked zero days in the past 30 days in adolescence, odds of any past-30-day smoking in young adulthood ranged from 2.85 (95% CI: 1.85-4.37) for those who smoked 1 day to 4.81 (3.50-6.59) for those who smoked daily as adolescents, and adjusted odds of daily smoking in young adulthood ranged from 1.99 (1.24-3.18) to 4.69 (3.42-6.43). Compared with adolescent never smokers, adjusted odds of any past-30-day smoking in young adulthood among adolescent former smokers was 2.11 (1.77-2.53), and among adolescent current smokers, ranged from 3.03 (2.22-4.14) for those who smoked 1-5 cigarettes per month to 8.19 (5.80-11.55) for those who smoked daily. Adjusted odds of daily smoking in young adulthood were 2.49 (2.12-2.91) for adolescent former smokers and, among adolescent current smokers, ranged from 2.54 (1.92-3.37) for those who smoked 1-5 cigarettes per month to 8.65 (6.06-12.35) for those who smoked daily. There is a strong dose-response relationship between 30-day smoking in adolescence-even a single day in the month-and 30-day and daily smoking in young adulthood.

Young People's Use of E-Cigarettes across the United Kingdom: Findings from Five Surveys 2015-2017

Concern has been expressed about the use of e-cigarettes among young people. Our study reported e-cigarette and tobacco cigarette ever and regular use among 11-16 year olds across the UK. Data came from five large scale surveys with different designs and sampling strategies conducted between 2015 and 2017: The Youth Tobacco Policy Survey; the Schools Health Research Network Wales survey; two Action on Smoking and Health (ASH) Smokefree Great Britain-Youth Surveys; and the Scottish Schools Adolescent Lifestyle and Substance Use Survey. Cumulatively these surveys collected data from over 60,000 young people. For 2015/16 data for 11-16 year olds: ever smoking ranged from 11% to 20%; regular (at least weekly) smoking between 1% and 4%; ever use of e-cigarettes 7% to 18%; regular (at least weekly) use 1% to 3%; among never smokers, ever e-cigarette use ranged from 4% to 10% with regular use between 0.1% and 0.5%; among regular smokers, ever e-cigarette use ranged from 67% to 92% and regular use 7% to 38%. ASH surveys showed a rise in the prevalence of ever use of e-cigarettes from 7% (2016) to 11% (2017) but prevalence of regular use did not change remaining at 1%. In summary, surveys across the UK show a consistent pattern: most e-cigarette experimentation does not turn into regular use, and levels of regular use in young people who have never smoked remain very low.

Progression to established patterns of cigarette smoking among young adults

BACKGROUND

As tobacco control policies have been implemented across the U.S. over the past decade, patterns of smoking cigarettes have significantly changed, particularly among young adults. For many users, the typical daily use pattern of smoking several packs of cigarettes per day has been supplanted by a variety of use patterns, often referred to as light, intermittent, and occasional smoking.

METHODS

The aim of this study was to examine progression to established smoking patterns among a nationally representative, longitudinal sample of young adults (n=9791). Using repeated measures latent class techniques (RMLCA), we modeled the distribution of cigarette smoking intensity over time and latent class categories.

RESULTS

Findings demonstrate that young adults fall into three discrete classes that reflect probabilities for never to low use, daily use, and variable cigarette use for progression to established use of cigarettes: 79.3% fall into the class of "never or ever users" of cigarettes (no current use of cigarettes), 11.3% fall into the class of "rapid escalators" or daily users of cigarettes, and 9.4% fall into the "dabbler" class. Smoking patterns were found to be stable by the age of 21.

CONCLUSIONS

Intervening prior to age 21 has the potential to disrupt progression to established smoking and reduce the long-term health consequences of smoking in this age group.