Characterizing Polytobacco Use Trajectories and Their Associations With Substance Use and Mental Health Across Mid-Adolescence.

Background:Polytobacco product use is suspected to be common, dynamic across time, and increase risk for adverse behavioral outcomes. We statistically modeled characteristic types of polytobacco use trajectories during mid-adolescence and tested their prospective association with substance use and mental health problems. Methods:Adolescents (N = 3393) in Los Angeles, CA, were surveyed semiannually from 9th to 11th grade. Past 6-month combustible cigarette, e-cigarette, or hookah use (yes/no) over four assessments were analyzed using parallel growth mixture modeling to identify a parsimonious set of polytobacco use trajectories. A tobacco product use trajectory group was used to predict substance use and mental health at the fifth assessment. Results:Three profiles were identified: (1) tobacco nonusers (N = 2291, 67.5%) with the lowest use prevalence (<3%) of all products across all timepoints; (2) polyproduct users (N = 920, 27.1%) with moderate use prevalence of each product (8-35%) that escalated for combustible cigarettes but decreased for e-cigarettes and hookah across time; and (3) chronic polyproduct users (N = 182, 5.4%) with high prevalence of each product use (38-86%) that escalated for combustible cigarettes and e-cigarettes. Nonusers, polyproduct users, and chronic polyproduct users reported successively higher alcohol, marijuana, and illicit drug use and ADHD at the final follow-up, respectively. Both tobacco using groups (vs. nonusers) reported greater odds of depression and anxiety at the final follow-up but did not differ from each other. Conclusions:Adolescent polytobacco use may involve a common moderate risk trajectory and a less common high-risk chronic trajectory. Both trajectories predict substance use and mental health symptomology. Implications:Variation in use and co-use of combustible cigarette, e-cigarette, and hookah use in mid-adolescence can be parsimoniously characterized by a small set common trajectory profiles in which polyproduct use are predominant patterns of tobacco product use, which predict adverse behavioral outcomes. Prevention and policy addressing polytobacco use (relative to single product use) may be optimal tobacco control strategies for youth, which may in turn prevent other forms of substance use and mental health problems

Association of self-reported use of cannabis for the purpose of improving physical, mental, and sleep health with problematic cannabis use risk

Abstract Background Little is known about health-focused cannabis use purposes and their associations with risk for problematic cannabis use. This cross-sectional study examined three broad cannabis use purposes and association with risk for problematic use among young adult cannabis users who report using for > 1 health reasons. Methods Young adults completed an electronic survey as part of an ongoing study on substance use and health. Those who self-reported past 6-month use of ≥ 1 cannabis products—smoking, vaping, dabbing, eating, and blunts—were included in the analysis. Their purposes for use were coded into three categories: sleep, mental, and physical health. Problematic cannabis use (PCU) was measured with the three-level structure Cannabis Abuse Screening Test (CAST-3). Adjusted multivariable regression models were used to estimate use purposes associated with with problematic cannabis use at the p < 0.05 level. Results Participants (n = 954) were mostly female (63.94%) and Hispanic (54.93%). Mental health was the most endorsed reason (73.38%) for use among study sample. Among participants, 36.3% were classified as being at severe risk (CAST-3 score ≥ 8). There was a significant association between PCU risk and reporting cannabis use for physical health (p < 0.01), mental health, and sleep health (p < 0.01) purposes. Those who used cannabis for physical heath purposes had about four times the risk (adjusted relative risk ratio (aRRR) = 4.38, 95% CI = 3.06–6.69), those who used for mental health had about three times the risk (aRRR = 2.81, 95% CI = 1.86–4.72), and those who used for sleep health had almost two times the risk (aRRR = 1.83, 95% CI = 1.17–2.63) for severe PCU. Conclusion All cannabis use purposes examined increased risk of problematic cannabis use. Physical health use purposes was associated with highest PCU risk. This study demonstrates the risk for cannabis use disorder associated with self-medicating with cannabis

Accessing Vaping Products When Underage: A Qualitative Study of Young Adults in Southern California

IntroductionCalifornia implemented multiple strategies, such as a Tobacco 21 law and compliance checks, to reduce high rates of youth e-cigarette use. However, the prevalence of use among underage youth and young adults continues rising. Little is known about how underage individuals obtain e-cigarettes.Aims and methodsWe conducted structured qualitative interviews with 61 young adult (18-25 years old) vapers in the Los Angeles, CA area between June 2018 and June 2019. Interviews were comprehensive and designed to elicit information on participants' thoughts, feelings, and experiences related to vaping. We queried participants on where and how they obtained vaping products, and participants discussed their experiences accessing products while under the legal age for sale. Directed content analysis was used to analyze interviews.ResultsFour concepts emerged: (1) early experimentation of e-cigarettes with peers often occurred in a school setting, (2) continued use of e-cigarettes commonly obtained through peer sales, (3) inconsistent implementation of age restrictions at in-person retailers, and (4) at online retailers. Participants had peers purchase products on their behalf and frequented in-person and online retailers with few to no age verification processes. Few participants faced challenges when purchasing products from retailers.ConclusionsThe current study's findings offer insight into where and how underage individuals obtain vaping products despite restrictions to prevent them from doing so. Participant accounts of mixed ease of underage purchasing in-person and online suggest retailer education is needed, along with additional research to inform more effective policies to reduce underage access to vaping products.ImplicationsDespite legal age restrictions, e-cigarettes remain accessible to underage individuals, but specific strategies that underage youth utilize to evade legal age restrictions are largely unknown. We found that participants often accessed vaping products for the first time at school. Sales between peers were common, and participants also reported frequenting in-person retailers that inconsistently enforced age restrictions. Many participants reported little to no age verification online, though some believed online age verification measures were increasingly difficult to surpass. Knowledge of strategies underage youth utilize to access e-cigarettes can inform enforcement efforts

Differentiating Reasons for Young Adult E-cigarette Use Using Maximum Difference Choice Models.

IntroductionUnderstanding the reasons young adults use e-cigarettes (ie, vape)-and whether these motivations vary across groups-is essential for informing tobacco regulatory efforts.Aims and methodsAn online panel of young adults who vape (n = 230; age = 18-30 years) completed a maximum difference discrete choice task for 15 reasons for vaping. Over 9 choice sets, participants were presented a subset of 5 reasons and selected the most and least important. Hierarchical bayesian analysis estimated the relative importance of each reason. Latent class analysis (LCA) identified groups with similarly ranked reasons for use. Multinomial regression evaluated the association between sample characteristics and class membership.ResultsOverall, relaxation had the highest probability of being the most important reason for use (14.8%), followed by harm reduction (13.2%), and flavors (10.3%). LCA identified five distinct classes, based on top reasons for use: 1. cessation (cigarette cessation [20.2%]; n = 80); 2. dependence (relaxation [20.5%] and unable to quit [19.2%]; n = 21); 3. relaxation (relaxation [20.6%]; n = 66); 4. socializing (socializing [22.2%]; n = 27); and 5. variable (boredom [10.5%] and acceptability [10.2%]; n = 36). Participants who were older, smoked cigarettes, or vaped more frequently were more likely to belong to the cessation class while those who were younger or more e-cigarette dependent were more likely to belong to the dependence class.ConclusionsPerceived reasons why young adults vape are highly heterogeneous and dependent on the type of user. Tobacco regulatory efforts targeting distinct types of vapers are needed to minimize the adverse public health impact of vaping without compromising appeal for smoking cessation.ImplicationsE-cigarette use remains high among young adults, with flavors, cost, and harm reduction (vs. combustible cigarettes) among the mostly commonly reported reasons for use. Yet, little is known about how relatively important these reasons are to the individual. Leveraging a maximum difference task, young adults' reasons for use were evaluated on a common interval scale and groups sharing similar reasons identified. Smoking cessation, dependence, relaxation, socialization, and boredom were respectively the most important reasons for use among five classes of vapers. E-cigarette regulatory policies should consider the distinct reasons for use as to not compromise their appeal for smoking cessation

Trends in childhood leukemia incidence over two decades from 1992 to 2013

Incidence rates of childhood leukemia in the United States have steadily increased over the last several decades, but only recently have disparities in the increase in incidence been recognized. In the current analysis, Surveillance, Epidemiology and End Results (SEER) data were used to evaluate recent trends in the incidence of childhood leukemia diagnosed at age 0-19 years from 1992 to 2013, overall and by age, race/ethnicity, gender and histologic subtype. Hispanic White children were more likely than non-Hispanic White, non-Hispanic Black or non-Hispanic Asian children to be diagnosed with acute lymphocytic leukemia (ALL) from 2009 to 2013. From 1992 to 2013, a significant increase in ALL incidence was observed for Hispanic White children [annual percent change (APC)Hispanic  = 1.08, 95% CI: 0.59, 1.58]; no significant increase was observed for non-Hispanic White, Black or Asian children. ALL incidence increased by about 3% per year from 1992 to 2013 for Hispanic White children diagnosed from 15 to 19 years (APC = 2.67; 95% CI: 0.88, 4.49) and by 2% for those 10-14 years (APC = 2.09; 95% CI: 0.57, 3.63), while no significant increases in incidence were observed in non-Hispanic White, Black, or Asian children of the same age. Acute myeloid leukemia (AML) incidence increased among non-Hispanic White children under 1 year at diagnosis, and among Hispanic White children diagnosed at age 1-4. The increase in incidence rates of childhood ALL appears to be driven by rising rates in older Hispanic children (10-14, and 15-19 years). Future studies are needed to evaluate reasons for the increase in ALL among older Hispanic children

Sex differences in the appeal of flavored e-cigarettes among young adult e-cigarette users.

Experimental evidence suggests that females (vs. males) may be more sensitive to and derive greater reinforcement from the sensory aspects of combustible cigarette smoking (e.g., flavor, taste). However, it is unknown if there are similar sex differences in the appeal of flavored e-cigarettes. Young adult male (N = 65) and female (N = 35) e-cigarette users (mean age = 25.4; 53% current smokers) attended 1 laboratory session in which they self-administered standardized e-cigarette doses according to a Flavor (fruit vs. tobacco vs. menthol) × Nicotine (6 mg/mL vs. 0 mg/mL) × Voltage (3.3 V vs. 4.3 V) within-participant fully crossed factorial design. Following each trial, participants completed ratings of appeal (mean of liking, disliking [reverse scored], and willingness-to-use-again ratings). Sex was tested as a between-subjects moderator of the effects of flavor on appeal. There was a significant interaction between sex and flavor for e-cigarette appeal (p &lt; .001). In males, fruit-flavored e-cigarettes generated greater appeal than menthol and tobacco (ps &lt; .001). In females, both fruit- and menthol-flavored e-cigarettes generated greater appeal than tobacco (ps &lt; .001), but there was no significant difference between fruit- and menthol-flavored e-cigarettes (p = .40). The findings of this study suggest that males prefer fruit-flavored e-cigarettes, and females prefer both menthol- and fruit-flavored e-cigarettes. The impact of regulatory policies targeting e-cigarette flavors in the population may vary by sex. (PsycINFO Database Record (c) 2020 APA, all rights reserved)

Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers.

BackgroundE-cigarette regulations targeting products that disproportionately appeal to never-smokers may optimize population health. This laboratory study of young adults tested whether differences in appeal between e-cigarettes with non-tobacco-flavored (vs. tobacco-flavored) and nicotine-containing (vs. nicotine-free) solutions varied by smoking history.MethodsCurrent (N = 53), former (N = 25), and never (N = 22) cigarette smokers who vape (Mean[SD] age = 25.4[4.4] years) administered standardized e-cigarette doses varied by a Flavor (fruit, menthol, tobacco) × Nicotine (nicotine-containing [6 mg/mL], nicotine-free) within-subject double-blind design. Participants rated each dose's appeal (0-100 scale). Covariate-adjusted interactions tested whether smoking history moderated flavor and nicotine effects.ResultsAppeal was higher for fruit and menthol than tobacco flavors in each group. The fruit vs. tobacco appeal difference was greater in never smokers (fruit-tobacco estimate = 19.6) than current smokers (estimate = 12.1) but not former smokers (estimate = 12.6). The menthol vs. tobacco difference was greater in never smokers (menthol-tobacco estimate = 17.3) than former (estimate = 6.0) and current (estimate = 7.2) smokers. Appeal was lower for nicotine-containing than nicotine-free solutions in each group; this difference was greater in never smokers (nicotine-nicotine-free estimate = -17.3) than former (estimate = -7.0) and current (estimate = -10.6) smokers. Compared to tobacco flavors, nicotine's appeal-reducing effects were suppressed by fruit and menthol flavors in never smokers.ConclusionsHigher appeal of non-tobacco-flavored (vs. tobacco-flavored) and lower appeal of nicotine-containing (vs. nicotine-free) e-cigarettes may be widespread in young adults but disproportionately amplified in never smokers. Non-tobacco flavors may suppress nicotine's appeal-lowering qualities in never smokers. The impact of regulating non-tobacco flavors in e-cigarettes may vary by smoking history

Characterizing symptoms of e-cigarette dependence: a qualitative study of young adults

BackgroundWhile rates of e-cigarette use ('vaping') continue to potentiate concern, there is limited data on common symptoms of e-cigarette dependence among young adults who vape. This study sought to critically explore how young adults experience, manifest, and conceptualize vaping dependence symptoms in their everyday lives.MethodsBetween June 2018 and 2019, in-depth qualitative interviews were conducted with 62 young adults who use e-cigarettes (aged 18-25) and live in Southern California. We explored participants' product preferences, daily e-cigarette use patterns, vaping history, withdrawal experiences, and quit attempts or periods of cessation. We used a thematic analysis approach to interpret the transcripts.ResultsYoung adults discussed nine dimensions of vaping dependence that were organized into two categories: 1) general nicotine dependence symptoms, and 2) unique dependence symptoms related to vaping. Nicotine dependence symptoms included cravings and urgency to use, increased use to achieve desired effects, and unsuccessful quit attempts and withdrawal. Symptoms unique to vaping dependence included greater nicotine consumption due to accessibility and lack of restrictions, habitual vaping, inability to track vaping frequency, immediate gratification and comfort, social acceptability and norms, and awareness of vaping dependency.ConclusionsIn addition to nicotine dependence symptoms that have been characterized for other tobacco products, young adult e-cigarette users described unique symptoms of vaping dependence that necessitate the need for more refined measures. All dimensions of vaping dependence should be considered in discussions of policies as well as treatment and education efforts intended to protect young people from e-cigarette dependence