Mental Health Status by Race, Ethnicity and Socioeconomic Status among Young Adults in Texas during COVID-19.

BACKGROUND: Differences in symptoms of depression and anxiety by race/ethnicity and socioeconomic status (SES) among a diverse cohort of young adults during the COVID-19 pandemic (Spring 2020-Fall 2021) have not been examined. METHOD: We analyzed four waves of biannual, panel data from n = 2629 emerging adults (16-25 years old) from the Texas Adolescent Tobacco and Marketing Surveillance study (TATAMS). We conducted a series of mixed effects ordinal logistic regression models to compare the independent and joint effects of race/ethnicity and SES on symptoms of (a) depression and (b) anxiety, adjusting for sex, cohort, and time. RESULTS: Symptoms of depression (aOR range: 1.54 - 2.19; 95% CI: 1.02 - 3.08) and anxiety (aOR range: 1.64 - 2.19; 95% CI: 1.22 - 2.79) were elevated among low SES young adults, across all racial/ethnic groups. Across SES groups, symptoms of depression were lower among non-Hispanic Blacks compared to non-Hispanic Whites (aOR range: 0.33 - 0.41; 95% CI: 0.18 - 0.62) and Hispanics /Latinos (aOR range: 0.33 - 0.38; 95% CI: 0.20 - 0.57); similarly, symptoms of anxiety were lower among non-Hispanic Blacks compared to non-Hispanic Whites (aOR range: 0.44; 95% CI: 25 - 0.77) and Hispanics/Latinos (aOR range: 0.47 - 0.56; 95% CI: 0.29 - 0.83). No significant interaction (joint effect) was observed between SES and race/ethnicity during this period. CONCLUSION: Low SES was persistently related to poor mental health. Lower odds of symptoms of anxiety and depression among non-Hispanic Black young adults may reflect the 'mental health paradox'. Overall, mental health policies should prioritize lower SES young adults regardless of race and ethnicity.

Examining psychometric properties of the Metacognitions about Smoking Questionnaire among young e-cigarette users.

OBJECTIVE: Metacognition can be understood as 'cognition of cognition' or 'thinking about thinking'. Metacognition research has primarily focused on cigarette smoking, while e-cigarette use has been relatively unexplored. The study sought to examine the properties of the Metacognitions about Smoking Questionnaire (MSQ), as it was adapted for use among adolescent and young adult e-cigarette users. Further, the study sought to examine the ability of the Metacognitions about Smoking Questionnaire (MSQ) to predict past 30-day e-cigarette use among adolescent and young adult e-cigarette users. METHODS: The study analyzed data collected by the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in Spring 2020. The instrument consisted of 20 items found to have sound psychometric properties when validated among self-defined cigarette smokers in the UK. The instrument was adapted for e-cigarette use by providing a brief description before the items. Participants were asked "Which of the following products you use most often?", and those who selected "e-cigarettes" were included in the study. Participants were then presented with 20 statements about beliefs people hold about using e-cigarette and were instructed to determine their agreement with the statements on a four-point Likert scale with respect to e-cigarette use. Factors were extracted using Exploratory Factor Analysis (EFA) and factor structure was verified using Confirmatory Factor Analysis (CFA). Further, each of the extracted factors were used to predict past 30-day e-cigarette use frequency in the most frequent group, using conditional effects, holding the most frequent category of categorical covariates, mean of continuous covariates and the other two metacognitive factors as reference levels. Past 30-day e-cigarette use was measured as the number of days of use in the past 30-days. RESULTS: Participants who reported e-cigarette use in the past 30-days were included in this analysis (n = 244). Participants were in 10th grade (n = 46), 12th grade (n = 92) and two years beyond high school (n = 106). EFA was conducted and items were assessed with varimax rotation. CFA was conducted with multiple models (one factor, two factor and three factor solutions) and the 3-factor solution showed the best fit. Factors were named as 'positive metacognitions about cognitive regulation'(PMCR) (e.g. '…helps me think more clearly'), 'positive metacognitions about emotional regulation'(PMER) (e.g. '…helps me to relax when I am agitated'), and 'negative metacognitions'(NM) (e.g. 'It is hard to control my desire for e-cigarettes'). Cronbach's alpha showed high internal consistency (0.92, 0.90 and 0.91, respectively). The median score (range) was 7 (5-20), 10 (5-20), and 11 (10-40) on PMCR, PMER, and NM factors. Higher scores denote higher levels of outcome expectancies of that factor. Lowest and highest score on PMCR was associated with 15 and 20.4 days of e-cigarette use in the past 30-days, respectively. Similarly, lowest and highest score on PMER and NM were associated with 13.2 and 21 days, and 14.7 and 24.6 days, respectively. The results indicate that participants who reported highest outcome expectancies for cognitive regulation, emotional regulation, and negative outcomes, used e-cigarettes on average 5, 8 and 10 days more than those who reported lowest outcome expectancies for these factors. CONCLUSION: The MSQ showed good psychometric soundness for measuring metacognitive factors associated with e-cigarette use. For cigarette smoking, the original questionnaire distinguished negative cognitions of 'uncontrollability' and 'cognitive interference', which was not seen in e-cigarette users. This indicates a difference in cognitions of cigarette and e-cigarette users. The instrument can help understand the similar role of cognition in e-cigarette use behavior and further assess association with e-cigarette use.

Anxiety as a predictor of the age of initiation of tobacco and cannabis use in adolescents and young adults.

BACKGROUND: Previous research has shown important links between anxiety and the use of tobacco and cannabis. However, it remains unclear whether anxiety leads youth to start using tobacco and cannabis at an earlier age. METHODS: Data were drawn from Texas Adolescent Tobacco and Marketing Surveillance System for the years 2019-2021(Waves 9-14). Participants were in 10th-grade, 12th-grade, and two years post-high school at baseline. The outcomes were the age of first use of cigarettes, e-cigarettes, and cannabis. Interval-censoring Cox proportional hazards models were fit to examine the differences in the estimated age of initiation of tobacco and cannabis use by anxiety. RESULTS: Among the 10th-grade cohort, participants with anxiety had an increased risk of an earlier age of cigarette [AHR = 2.29(1.63-3.23)], e-cigarette [AHR = 1.53(1.17-2.00)], and cannabis [AHR = 1.59(1.23-2.05)] initiation. Among the 12th-grade cohort, participants with anxiety had an increased risk of an earlier age of cigarette [AHR = 1.52(1.21-1.90), e-cigarette [1.25(1.01-1.60)] and cannabis [AHR = 1.35(1.09-1.67] initiation. Among the post-high school cohort, the only significant association found was for cannabis initiation [AHR = 1.33(1.11-1.58). Between ages 18-to-19 years in the 10th-grade cohort, and between ages 20-21 years in the 12th-grade cohort, cumulative incidence of each of the three outcomes initiation doubled among anxious youth. CONCLUSIONS: This study's findings show that anxiety symptoms can increase the risk of substance use initiation at an earlier age, especially among the youngest adolescent cohort (∼15-to-16-year-olds). These findings highlight the importance of early screening and treatment of anxiety symptoms as a preventive measure to delay or prevent the onset of substance use initiation.

Nicotine dependence among young adults: Comparing exclusive ENDS users to exclusive cigarette smokers.

PURPOSE: No studies of young adults have compared symptoms of nicotine dependence among exclusive past 30-day (P30D) ENDS users versus exclusive P30D cigarette smokers. METHODS: Participants at Wave 14 (Fall 2021) of The Texas Adolescent and Tobacco Marketing Surveillance System (TATAMS) (n = 2,341; mean age = 20.95 years old) who reported P30D exclusive ENDS use (n = 212) and P30D exclusive cigarette smoking (n = 46). Symptoms of nicotine dependence were measured with the Hooked On Nicotine Checklist (the 10-item HONC scale). An independent samples t-test compared average HONC scores between groups, and a Pearson (or Fisher's Exact) Chi-Square (X2) test compared the prevalence of symptom(s) between groups. RESULTS: The average HONC score was significantly higher for exclusive P30D ENDS users than exclusive P30D cigarette smokers (3.51 vs. 1.91, p ≤ 0.001). Compared to exclusive P30D cigarette smokers, a significantly higher proportion of exclusive P30D ENDS users reported having felt addicted (45.28% vs. 15.22%, p ≤ 0.001), having strong cravings (50.00% vs. 28.26%, p = 0.007), difficulty not using in prohibited places (i.e., school or work) (24.06% vs. 4.35%, p = 0.002), difficulty concentrating (21.23% vs. 6.52%, p = 0.021), and feeling nervous, restless, or anxious (28.77% vs. 10.87%, p = 0.012). CONCLUSIONS: Symptoms of nicotine dependence were elevated among young adults who were exclusive P30D users of ENDS relative to exclusive P30D cigarette smokers.

Depressive symptoms and the age of initiation of tobacco and marijuana use among adolescents and young adults.

BACKGROUND: Studies have demonstrated important associations between depressive symptoms and tobacco and marijuana use. However, to date, it is unknown if depressive symptoms predispose youth to tobacco and marijuana use at earlier ages over time. METHODS: Data from the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) for the years 2019-2021 (Waves 9-14) were used. Eligible samples include individuals who had never used cigarette (n=1776), e-cigarette (n=1353), or marijuana (n=1505) at basline and had complete data on covariates. Interval-censoring survival analysis was used to examine the differences in the estimated age of first use of cigarettes, e-cigarettes, and marijuana by depressive symptoms. RESULTS: 10th-grade cohort participants with depressive symptoms had increased risk of earlier age of first use of cigarette [AHR=1.45; 95% CI=1.02-2.04)], e-cigarette [AHR=1.65(1.27-2.15)], and marijuana [AHR=1.56(1.20-2.01)]. 12th-grade cohort participants with depressive symptoms had increased risk of earlier age of first use of cigarette [AHR=1.41(1.11-1.82), e-cigarette [AHR=1.35(1.10-1.87)] and marijuana [AHR=1.25(1.01-1.55)]. However, among the two-year post-high school cohort, depressive symptoms predicted the age of first use of marijuana only [AHR=1.34(1.13-1.60)]. Between ages 18-to-20 years, the estimated cumulative incidence of initiation almost doubled for all three products among depressive participants in 10th and 12th-grade cohorts. CONCLUSIONS: Among 10th-grade, 12th-grade, and 2-year post-HS students, those with depressive symptoms initiate tobacco and marijuana use at earlier ages than peers without depressive symptoms. Early screening and management of depressive symptoms among adolescents and young adults may be a promising target for preventing or delaying the age of first use of substance use.

The Association Between Tobacco and Cannabis Use and the Age of Onset of Depression and Anxiety Symptoms: Among Adolescents and Young Adults.

INTRODUCTION: No studies have prospectively explored the association between the use of tobacco or cannabis use and the age of onset of depressive or anxiety symptoms, and no studies have identified the peak ages and ranges of onset of these symptoms among tobacco and/or cannabis users. AIMS AND METHODS: This is a secondary analysis of Texas Adolescent Tobacco and Marketing Surveillance System data, waves 9-14 (2019-20121). Participants were in 10th grade, 12th grade, and 2 years post-high school (HS) at baseline (wave 9). Interval-censoring multivariable Cox proportional hazards models were fit to assess differences in the estimated age of onset of depression and anxiety by tobacco and cannabis use while adjusting for covariates. RESULTS: We found that lifetime or ever cigarette, e-cigarette, and cannabis use had an increased risk of an earlier age of onset of depressive and anxiety symptoms across the three cohorts, and the youngest cohort was the most differentially impacted by substance use. Between ages 18 to 19 years in the 10th-grade cohort, between ages 20 to 21 years in the 12th-grade cohort, and between ages 22 to 23 years in the post-HS cohort, the estimated hazard function (or cumulative incidence) for reporting depressive and anxiety symptoms almost doubled among lifetime cigarette, e-cigarette, and cannabis users. CONCLUSIONS: Tobacco and cannabis users should be screened for mental health problems at an earlier age, especially those aged 18 years and younger, and provided with age- and culturally appropriate resources to prevent or delay the onset of anxiety and/or depression symptoms. IMPLICATIONS: The study's findings indicate that tobacco and cannabis use is directly linked to the early onset of depressive and anxiety symptoms among youth. This highlights the significance of early screening and substance use interventions, particularly for youth aged 18 years and younger, as they are disproportionately affected by both substance use and mental health problems. School-based interventions that are age- and culturally appropriate hold promise as they enable youth to seek professional help early, and in a supportive environment. Intervening early in substance shows promise in reducing the likelihood of developing mental health problems at a young age.

Symptoms of Depression and Anxiety and Subsequent Use of Nicotine and THC in Electronic Cigarettes.

BACKGROUND: This study examines whether symptoms of depression, anxiety, or comorbid depression and anxiety are associated with future use of nicotine or THC in e-cigarettes. METHODS: Data were from an online survey of youth and young adults in urban areas of Texas with complete data (n = 2,307) in spring 2019 (baseline) and spring 2020 (12-month follow-up). Multivariable logistic regression models examined associations between self-reported symptoms of depression, anxiety, or comorbid depression and anxiety at baseline and past 30-day e-cigarette use with nicotine or THC at 12-month follow-up. Analyses adjusted for baseline demographics and baseline past 30-day e-cigarette, combustible tobacco, marijuana, and alcohol use and stratified by race/ethnicity, gender, grade level, and SES. RESULTS: Participants were 16-23 years old, 58.1% female and 37.9% Hispanic. At baseline, 14.7% reported symptoms of comorbid depression and anxiety, 7.9% depression, and 4.7% anxiety. Prevalence of past 30-day e-cigarette use at 12-month follow-up was 10.4% with nicotine and 10.3% with THC. Symptoms of depression and comorbid depression and anxiety at baseline were significantly associated with both nicotine and THC use in e-cigarettes 12 months later. Symptoms of anxiety were associated with nicotine use in e-cigarettes 12 months later. CONCLUSIONS: Symptoms of anxiety and depression may be important indicators of future nicotine and THC vaping among young people. Clinicians should be aware of groups most at risk who may benefit from substance use counseling and intervention.

Understanding college students' experiences using e-cigarettes and marijuana through qualitative interviews.

OBJECTIVE: To investigate the contexts in which college students use e-cigarettes and marijuana, perceptions about the benefits and harms, and health effects of use. PARTICIPANTS: College student e-cigarette and marijuana ever users (n = 20; 18-21 years old) from the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS). METHODS: Participants completed a one-hour long online interview about their experiences using e-cigarettes and marijuana. Thematic content analysis in NVivo identified prominent themes. RESULTS: Vaping nicotine and marijuana were preferred and perceived as normal, trendy and useful in circumventing smoke-free campus policies. Preference for nicotine versus marijuana fluctuates during the academic school year in response to campus restrictions and work and school-related activities. College students commonly experienced health effects (shortness of breath, wheezing) attributed to vaping, did not perceive their use as very harmful, and perceived their use as a college-related phase. CONCLUSIONS: Findings have implications for college-based health education, resources, and smoke-free policies.

How Does Social Media Exposure and Engagement Influence College Students' Use of ENDS Products? A Cross-lagged Longitudinal Study.

Electronic nicotine delivery systems (ENDS) products have been marketed heavily on social media throughout the past years, which exerts great influence on young adults' ENDS use. Despite scholars' pioneering efforts in investigating the influence of tobacco and nicotine products marketing on young adults' vaping behavior, scholarly attention has been paid primarily to passive exposure to rather than active engagement with the information on social media. In addition, the majority of existing research has been cross-sectional or focused on the unidirectional path from marketing information to behavior. To extend previous research in tobacco regulatory science on new media, we examined the bidirectional associations between self-reported exposure to and engagement with tobacco and nicotine products messaging on social media, and subsequent use of ENDS products one year later among a large, diverse sample of young adults. Results from cross-lagged panel analyses indicated that pro-tobacco/ENDS engagement and advertising exposure elevated risk whereas anti-tobacco/ENDS engagement decreased risk for the subsequent use of ENDS products one year later. On the other hand, the use of ENDS products positively predicted both pro- and anti-tobacco/ENDS engagement one year later. Findings provide empirical support for the reasoned action approach and the confirmation bias rooted in cognitive dissonance theory through rigorous longitudinal examination. Our findings not only point to the imperativeness of and offer guidance for regulating marketing information on social media, but also suggest social media as a promising platform to prevent young adults from initiating ENDS product use.

Patterns in Mental Health Symptomatology and Cigarette, E-cigarette, and Marijuana Use Among Texas Youth and Young Adults Amid the Coronavirus Disease 2019 Pandemic.

INTRODUCTION: This study examined patterns in mental health symptomatology and smoking and vaping behaviors among youth and young adults over a 1-year period from before to during the first year of the Coronavirus Disease 2019 (COVID-19) pandemic. AIMS AND METHODS: Participants (n = 2148) were 16-24-year-olds who completed three waves of the Texas Adolescent Tobacco and Marketing Surveillance Study (TATAMS). Descriptive statistics and mixed effects logistic regression models were used to examine changes in anxiety symptoms, depressive symptoms, perceived stress, and cigarette, e-cigarette, and marijuana use from before COVID-19 (fall 2019) to 6-month follow-up (spring 2020) and 12-month follow-up (fall 2020) periods during COVID-19. Longitudinal associations between mental health symptomatology and smoking and vaping were examined. RESULTS: Modest increases in symptoms of anxiety and depression were observed from before to during COVID-19. Perceived stress remained high and unchanged. Ever marijuana use increased at 6- and 12-month follow-up, while ever cigarette and e-cigarette use increased significantly only at 12-month follow-up. Marijuana use frequency increased significantly at 6- and 12-month follow-ups. Adjusting for sociodemographic factors, increased symptoms of anxiety and depression predicted increases in ever cigarette, e-cigarette, and marijuana use, and past 30-day cigarette and e-cigarette use, but not past 30-day marijuana use. Higher perceived stress predicted increases in ever use of cigarettes and e-cigarettes and past 30-day cigarette use. CONCLUSIONS: Changes in mental health symptomatology and smoking and vaping behaviors among young people in Texas varied during this period of the COVID era. Increases in mental health symptomatology predicted increases in cigarette, e-cigarette, and marijuana use behaviors. IMPLICATIONS: This study adds to the limited research on the longitudinal impact of anxiety symptoms, depressive symptoms, and perceived stress on cigarette, e-cigarette, and marijuana use from before to during the first year of the COVID-19 pandemic. Findings warrant health messaging and interventions that address the significant impact of worse mental health on increased smoking and vaping behavior, especially during crises like COVID-19 that may exacerbate mental health and substance use behaviors.

Cannabis Vaping Among Youth and Young Adults: a Scoping Review.

Purpose of Review: The purpose of this review was to describe the state-of-the-literature on research specific to cannabis vaping among youth and young adults. Recent Findings: Out of 1801 records identified, a total of 202 articles met eligibility criteria for inclusion in this review. Most of this literature (46.0% of studies) was specific to the health effects of cannabis vaping, particularly EVALI (e-cigarette and vaping associated lung injury). Other research areas identified in the review included the etiology (24.3%) and epidemiology (24.8%) of cannabis vaping, in addition to articles on regulation (8.4%) and marketing (5.5%) of the same. Summary: Cannabis vaping is increasingly common among youth and young adults and more prevalent is settings where recreational use for adults has been legalized. The literature documents a number of negative health effects of cannabis vaping for young people, along with risk factors and reasons for the same. Supplementary Information: The online version contains supplementary material available at 10.1007/s40429-022-00413-y.

Risk of respiratory, gastrointestinal, and constitutional health symptoms: A cross-sectional study of Texas adolescent and young adult nicotine and marijuana vapers.

Observational studies investigating the health consequences of vaping among youth and young adults are limited. This study aimed to describe and examine the risk for health symptoms by vape user category (never users, marijuana only, nicotine only, and dual users). Health symptoms included adverse respiratory, gastrointestinal, and constitutional problems. This cross-sectional study analyzed data from Fall 2020, Wave 12 (n = 2389) of the Texas Adolescent Tobacco and Marketing Surveillance System. Chi-square, one-way analysis of variance (ANOVA), and multivariable logistic regression analyses examined the associations between past 30-day vape user category and 15 health symptoms (e.g., coughing, nausea, vomiting, fever). For total symptoms, dual vapers reported the highest mean (2.76[standard deviation = 3.17]), followed by nicotine-only vapers (2.47[2.89]), marijuana-only vapers (1.94[2.60]), and never users (1.56[2.31]), p < .001. Dual vapers and nicotine-only vapers had significantly higher odds of experiencing respiratory symptoms as compared with never users (adjusted odds ratios [AORs] = 2.35, 95% confidence interval [CI]: 1.30, 4.25; AOR = 1.86, 95% CI: 1.22, 2.81, respectively). Marijuana-only (AOR = 2.41, 95% CI: 1.53, 3.79), nicotine-only (AOR = 2.03, 95% CI: 1.38, 2.99), and dual vapers (AOR = 2.03, 95% CI: 1.15, 3.57) had significantly higher odds of gastrointestinal symptoms compared with never users. Dual vapers had significantly higher odds of experiencing constitutional symptoms as compared to never users (AOR = 1.92, 95% CI: 1.10, 3.34). This study uniquely highlights the risk for gastrointestinal symptoms from vaping. Future research and clinical practice should monitor the occurrence of these symptoms and explore potential mechanisms, such as specific flavorings or chemicals, for the link between vaping and health symptoms.

Association of tobacco and marijuana use with symptoms of depression and anxiety among adolescents and young adults in Texas.

INTRODUCTION: Young people with depression and/or anxiety may self-medicate with tobacco or tobacco with marijuana to reduce their symptoms. This study sought to differentiate between the use of tobacco products as intended and tobacco products modified to accommodate marijuana, and to explore their relationships with symptoms of depression and anxiety among youth and young adults. METHODS: The study is a secondary analysis of Wave 9 (Spring 2019) data from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) (n=2439, N=274030). Anxiety and major depressive symptoms were measured by GAD-7 and PHQ-9, respectively. RESULTS: The odds of reporting current use of e-cigarettes without marijuana (adjusted prevalence odds ratio, APOR=2.34; 95% CI: 1.30-4.21, p=0.005) and current use of combustible tobacco without marijuana (APOR=2.99; 95% CI: 1.26-7.09, p=0.014) were significantly higher among those who reported depression/anxiety comorbidity compared to those who reported no symptoms of major depressive symptoms (MDS), anxiety or comorbidity. The odds of reporting ever use of e-cigarettes with marijuana (APOR=3.68; 95% CI: 1.69- 8.00, p=0.001), current use of e-cigarettes with marijuana (APOR=2.76; 95% CI: 1.28-5.97, p=0.01) and ever use of combustible tobacco with marijuana (APOR=3.99; 95% CI: 1.66-9.58, p=0.002) were significantly higher among those reporting only MDS compared to those who reported no symptoms of MDS, anxiety or comorbidity. CONCLUSIONS: The study findings can have implications for intervention planning, as interventions need to address marijuana and nicotine use in tobacco products and address anxiety and depression.

Perceived Parental Knowledge Reduces Risk for Initiation of Nicotine and Cannabis Vaping: A Longitudinal Study of Adolescents.

PURPOSE: This study examines the role of perceived parental knowledge on initiation of nicotine and cannabis vaping among youth. DESIGN: Longitudinal study from a self-administered online survey. Three waves of data collected in 6-month intervals. SETTING: 79 public and private schools in Texas. PARTICIPANTS: Adolescents who self-reported never using e-cigarette to vape nicotine (n=1907; weighted sample [N] = 304371) or vape cannabis (n=2212; N=351955) at baseline. Participants were in 8th, 10th, and 12th grade at baseline. MEASURES: Self-reported measures of nicotine and cannabis vaping. ANALYSES: Weighted multivariate logistic regression models examined role of perceived parental knowledge at baseline (Spring 2016) as a predictor of nicotine and cannabis vaping initiation at 6-month (Fall 2016) and 12 month (Spring 2017) follow-up. Covariates were age, sex, race/ethnicity, and other tobacco use. RESULTS: Initiation rates were 5.9% for nicotine vaping and 8.6% for cannabis vaping, at 12-month follow-up overall. Higher perceived parental knowledge was associated with lower odds of nicotine vaping initiation at 6 months (adj OR: .69; 95% CI: .50-.93) and 12 months (adj OR: .68; 95% CI: .50-.92). Similarly, higher perceived parental knowledge was associated with lower odds of cannabis vaping initiation at 6 months (adj OR: .58; 95% CI: .38-.87) and 12 months (adj OR: .53; 95% CI: .38-.74). CONCLUSION: E-cigarette prevention efforts directed at adolescents should incorporate parent engagement strategies as a method of increasing actual and perceived parental knowledge of their child's location, activities and peer groups.

Positive Affect and Multiple-tobacco Product Use among Youth: A 3-year Longitudinal Study.

Objectives: Multiple-tobacco product (MTP) use is common among adolescent tobacco users. Low positive affect is a risk factor for e-cigarette use and combustible tobacco smoking. In this study, we examine the longitudinal relationship between positive affect and MTP use in a diverse cohort of adolescents in Texas. Methods: We analyzed 6 waves of biennial data (fall 2014-spring 2017) from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were 3868 sixth-, eighth-, and tenth-grade students in urban Texas, at enrollment. Multinomial logistic regression models examined the longitudinal relationship between positive affect and categories of MTP use, controlling for sex, race/ethnicity, past 30-day alcohol use, cohort, survey wave, and peer tobacco use. Results: The sample was comprised of 4.6% single-product users, 1.7% dual-users, and 0.7% poly-users. Each unit decrease in positive affect was associated with increased risk for single- (RRR: 1.29; 95% CI: 1.16-1.44), dual- (RRR: 1.35; 95% CI: 1.11-1.64), and poly- (RRR: 1.98; 95% CI: 1.54-2.54) use, relative to non-use. Similarly, each unit decrease in positive affect was also associated with increased risk for poly-tobacco use relative to single- (RRR: 1.53; 95% CI: 1.19-1.97) and dual- (RRR: 1.47; 95% CI: 1.11-1.95) use. Positive affect did not differentiate between single- and dual-use. Conclusion: We observed a gradient relationship between low positive affect and greater number of tobacco products used. Findings reinforce the association between poor mental health and tobacco use during adolescence. Prevention efforts may need to incorporate methods of addressing low positive affect.

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.

Emotional symptoms and sensation seeking: Implications for tobacco interventions for youth and young adults.

INTRODUCTION: Although emotional symptoms and sensation seeking are recognized as important risk factors for tobacco use among youth and young adults, to date, their joint influence on tobacco use has not been examined. METHODS: Data used in this study are from the Texas Adolescent Tobacco and Marketing Surveillance study, a population-based cohort. At baseline, in 2014, participants were in the 10th grade. Mixed-effects logistic regression models examined associations between emotional symptoms and sensation seeking in 2014 and odds of past 30-day cigarette and e-cigarette use in 2018. Interactions between emotional symptoms and sensation seeking were examined to assess whether one modifies the effect of the other on cigarette and e-cigarette use. RESULTS: After adjusting for age, sex, race/ethnicity, school type, and ever use of cigarettes or e-cigarettes at baseline, adolescents with high emotional symptoms (AORcig=1.97; 95% CI:1.07-3.60, and AORe-cig=1.68; 95% CI: 1.06-2.66) and with high sensation seeking tendencies (AORcig=2.05; 95% CI: 1.03-4.10, and AORe-cig=1.68; 95% CI: 1.02-2.76) had significantly higher odds of past 30-day cigarette and e-cigarette use four years later compared to adolescents with low emotional symptoms and low sensation seeking tendencies. The interaction was significant (p=0.01) for e-cigarette use only; among low sensation seekers, adolescents who reported high levels of emotional symptoms were at increased risk for past 30-day use (AORe-cig=3.43; 95% CI: 1.38-8.51), and among adolescents with low emotional symptoms, high sensation seekers were at increased for risk for past 30-day use (AORe-cig=3.50; 95% CI: 1.54-7.91). CONCLUSIONS: It is important for tobacco use prevention programs to consider both behavioral risk factors - sensation seeking and emotional symptoms - in an integrative way, to target high risk subgroups and thereby increase the efficacy of existing effective intervention strategies in order to curb tobacco use among youth and young adults.

Language Gap in Reach of "The Real Cost": Examination of a Federal Mass Media Campaign From 2017 to 2019.

INTRODUCTION: Approximately 25% of youth in the United States speak a language other than English at home. These youth may have less exposure to English-speaking media, including public smoking prevention initiatives such as the FDA's "The Real Cost" campaign. Research is needed to explore potential gaps in the reach of "The Real Cost" campaign among bilingual youth. AIMS AND METHODS: Data were pooled from the 2017-2019 National Youth Tobacco Surveys. Participants were n = 12 803 middle and high school students who were either: (1) susceptible never smokers; or (2) ever smokers that had smoked less than 100 cigarettes; these criteria reflect the FDA's definition of "target population" for "The Real Cost" campaign. Multiple, logistic regression analyses examined the relationship between speaking a language other than English at home (ie, bilingual) and self-reported exposure to "The Real Cost" campaign among both samples. Analyses controlled for sex, race/ethnicity, grade level, tobacco marketing exposure, and current tobacco use. RESULTS: The majority (61.7%) of youth who met "target population" criteria self-reported exposure to "The Real Cost" from 2017 to 2019. Regression analyses found that youth who reported speaking a language other than English at home were significantly less likely to self-report exposure to "The Real Cost" campaign (adjusted odds ratio: 0.85; p < .001), adjusting for covariates. CONCLUSIONS: Bilingual youth were significantly less likely to report exposure to "The Real Cost" campaign. Findings suggest the need to develop methods of increasing reach among bilingual youth, given the high smoking prevalence among these youth. IMPLICATIONS: This study highlights a social and cultural gap in the reach of the FDA's "The Real Cost" campaign. Agencies such as FDA should consider enhancing existing mass media campaigns to reach diverse communities, including the nearly 25% of youth who speak a language other than English.

Digital marketing of smokeless tobacco: A longitudinal analysis of exposure and initiation among young adults.

OBJECTIVES: This study examines the relationships between recall of exposure to digital marketing of smokeless tobacco, via the internet and social media, and subsequent initiation of smokeless tobacco use at one-year follow-up, among young adult never users of smokeless tobacco in Texas. METHODS: Data were from waves 6 (Spring 2017) and 7 (Spring 2018) of the Marketing and Promotions Across Colleges in Texas Study (Project M-PACT); a longitudinal study of two- and four-year Texas college students. Participants were 2731 young adult never smokeless tobacco users (ages 20-32) with complete data at both assessment periods. A multi-level, multiple logistic regression model was applied, accounting for school clustering, to examine the relationship between recall of exposure to digital marketing of smokeless tobacco at baseline (wave 6) and smokeless tobacco use initiation at one-year follow-up (wave 7). Analyses controlled for important baseline covariates (socio-demographic factors, other marketing exposure, other tobacco product use). RESULTS: Overall, 14.6% of never smokeless tobacco users reported exposure to smokeless tobacco marketing via digital media. Exposure to digital marketing of smokeless tobacco at baseline was associated with greater odds of smokeless tobacco use initiation among young adult never users (AOR: 2.14; 95%CI: 1.12 - 4.06) at one-year follow-up. CONCLUSIONS: Findings reveal exposure to smokeless tobacco marketing via digital media was common. Further, there appears to be a strong relationship between this exposure and subsequent smokeless tobacco use among young adult never smokeless tobacco users.

Comparing Risk Factors for Past 30-day E-cigarette and Combustible Tobacco Use: A Longitudinal Analysis of the Texas Adolescent Tobacco and Marketing Surveillance Study (2014-2017).

Significance: Youth use of e-cigarettes is reaching 'epidemic proportions,' even as combustible tobacco use is declining. Comparison of risk factors that are uniquely associated with e-cigarette and combustible tobacco use among adolescents is warranted. Methods: Six waves of data from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) study (n=3907; N=461,069; 2014-2017) were used in this analysis. A random intercept logistic regression model was used to compare intrapersonal, interpersonal, and environmental risk factors for use of both products based on the Social Ecological Model. Results: Risk factors that were significantly associated with both past 30-day use of e-cigarette and combustible tobacco products over time included past 30-day use of marijuana and alcohol, social acceptability of product use, having friends and family members who used the products, and male gender. Increasing age, worse academic performance, higher sensation seeking score, higher recall of social media promotion in the past 30 days, and lower positive affect score were associated with past 30-day use of combustible tobacco only. White race was associated with past-30 day use of e-cigarettes only. Conclusion: Involving peers and parents in preventive interventions designed to reduce uptake of these products is paramount, as is the need to address other substance use, like alcohol and marijuana. Efforts should also be made to create a social climate that makes tobacco use (e-cigarettes and combustible products) less acceptable and desirable.