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Objective: To examine use and frequency patterns across e-cigarettes, cigarettes, and little cigars, cigars, and cigarillos (LCCs) over time and determine whether patterns differ by race and ethnicity. Methods: Data was obtained from the Truth Longitudinal Cohort of youth and young adults between September 2020 and June 2022. Latent class and transition analyses were used to classify participants (N = 4448) into subgroups, based on frequency of tobacco product use in the past 30 days, and to estimate the probability of use pattern transitions by race and ethnicity, adjusted for the effects of gender, financial situation, parental education, household tobacco use, and sensation seeking. Results: Four latent classes were identified: former/noncurrent users, predominantly frequent to daily (FTD) e-cigarette users, predominantly FTD e-cigarette and LCC users, and predominantly FTD cigarette with polytobacco users. Use trajectories differed by race and ethnicity. A lower proportion of those who identified as non-Hispanic Black (60.0%) remained e-cigarette and LCC users, relative to those who identified as non-Hispanic White (86.0%), Hispanic or Latino (86.0%), and another race and ethnicity (79.0%). A lower proportion of those who identified as Hispanic or Latino (54.0%) and another race and ethnicity (59.9%) remained cigarette with polytobacco users, relative to those who identified as non-Hispanic White (76.0%) and non-Hispanic Black (72.0%). A greater proportion of non-Hispanic Black respondents transitioned from e-cigarette and LCC user to former/noncurrent user (40.0%) and polytobacco user to e-cigarette and LCC user (11.0%), relative to other racial/ethnic groups. Conclusion: More research is needed to determine why tobacco use trajectories differ by race and ethnicity. Such research will be important in informing comprehensive approaches that promote evidence-based prevention policies and programs. [ABSTRACT FROM AUTHOR]

Purpose: To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status. Design: Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students. Setting: Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019. Subjects: The analytic sample included 277 291 university students. Measures: Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user). Analysis: Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use. Results: Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use. Conclusion: Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students. [ABSTRACT FROM AUTHOR]

Background: Unacceptably high levels of e-cigarette use among youth paired with growing research about the dangers of vaping demonstrate a critical need to develop interventions that educate young people to reject e-cigarette use and promote cessation for current users. Vaping: Know the Truth (VKT) is a free digital learning experience prioritizing middle and high school students that aims to improve students' knowledge about the dangers of using e-cigarettes and provide quitting resources for those who already vape. The current study was designed to evaluate whether students receiving the curriculum increased knowledge of the dangers of vaping. Methods: The outcome measures were calculated as the change in the number of correct responses from the pre- to post-module assessments among middle and high school students who completed four modules of the VKT curriculum (N = 103,522). Linear regression was performed to determine the association between the student's pre-module assessment score and the knowledge change score after completion of the four modules. Results: Students' e-cigarette knowledge significantly improved by an average of 3.24 points (SD = 3.54), following implementation of the VKT curriculum. This indicates that participants answered more than 3 additional questions correctly, on average, after the intervention. Conclusion: Findings demonstrate that the Vaping: Know the Truth curriculum is an effective resource for increasing knowledge among youth about the harms associated with e-cigarette use. Further research is needed to evaluate whether the intervention is associated with behavioral outcomes over time. [ABSTRACT FROM AUTHOR]

Introduction Tobacco use among adolescents is an ongoing public health concern. Youth tobacco use has been associated with advertising, from both online sources and retail environments. Aims and Methods This study examined associations between exposure to tobacco advertisements from tobacco retail outlets (TROs), internet, and social media sources and ever tobacco use among adolescents. Data were obtained from youth, aged 11–17 years (N = 401) from Richmond, VA. Bayesian index and group index models were fitted to estimate indices of exposure to (1) social media use, (2) tobacco ads on social media, and (3) TRO store visits and their association with ever tobacco use. The most important components of the exposure indices were also determined based on the index component weights from the Bayesian index models. Results In Bayesian index models of single exposures, each exposure index was significantly associated with tobacco use. In the best-fitting model, social media tobacco ads (odds ratio [OR] = 2.2; 95% credible interval [CI]: 1.2, 4.5) and TRO store visits (OR = 1.6; 95% CI: 1.1, 2.3) were significantly associated with ever tobacco use, as was older age (OR = 1.4; 95% CI: 1.2, 1.8). Index component weights revealed Snapchat ad frequency as the most important platform in the social media index and convenience stores as the most important type of store in the TRO index. Conclusions Exposure to pro-tobacco advertisements on social media and visits to TROs are associated with adolescent ever tobacco use. Results provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Tobacco regulations and interventions targeting convenience stores and Snapchat may be warranted to reduce youth tobacco use. Implications Current evidence provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Findings suggest that regulations and interventions that specifically target advertisements in convenience stores and on Snapchat may be currently warranted to reduce youth tobacco use. [ABSTRACT FROM AUTHOR]

Introduction Smoking is consistently linked with alterations in DNA methylation (Philibert et al. 2012, 2013; Wan et al. 2012; Zeilinger et al. 2013). Several epigenome-wide association studies (EWAS) comparing smokers [...], Background: Maternal smoking during pregnancy is related to altered DNA methylation in infant umbilical cord blood. The extent to which low levels of smoke exposure among nonsmoking pregnant women relates to offspring DNA methylation is unknown. Objective: This study sought to evaluate relationships between maternal prenatal plasma cotinine levels and DNA methylation in umbilical cord blood in newborns using the Infinium HumanMethylation 450K BeadChip. Methods: Participants from the Newborn Epigenetics Study cohort who reported not smoking during pregnancy had verified low levels of cotinine from maternal prenatal plasma (0 ng/mL to Results: Multivariable linear regression models yielded 29,049 CpGs that were differentially methylated in relation to increases in cotinine at a 5% false discovery rate. Top CpGs were within or near genes involved in neuronal functioning (PRKG1, DLGAP2, BSG), carcinogenesis (FHIT, HSPC157) and inflammation (AGER). Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggest cotinine was related to methylation of gene pathways controlling neuronal signaling, metabolic regulation, cell signaling and regulation, and cancer. Further, enhancers associated with transcription start sites were enriched in altered CpGs. Using an independent sample from the same study population (n = 115), bisulfite pyrosequencing was performed with infant cord blood DNA for two genes within our top 20 hits (AGER and PRKG1). Results from pyrosequencing replicated epigenome results for PRKG1 (cg17079497, estimate = - 1.09, standard error (SE) = 0.45, p = 0.018) but not for AGER (cg09199225; estimate = - 0.16, SE = 0.21, p = 0.44). Discussion: Secondhand smoke exposure among nonsmoking women may alter DNA methylation in regions involved in development, carcinogenesis, and neuronal functioning. These novel findings suggest that even low levels of smoke exposure during pregnancy may be sufficient to alter DNA methylation in distinct sites of mixed umbilical cord blood leukocytes in pathways that are known to be altered in cord blood from pregnant active smokers. https://doi.org/10.1289/EHP8099

Introduction Electronic cigarettes (ECIGs) heat a nicotine-containing liquid to produce an inhalable aerosol. ECIG power (wattage) and liquid nicotine concentration are two factors that predict nicotine emission rate ("flux"). These factors can vary greatly across devices and users. Aims and Methods The purpose of this study was to examine ECIG device and liquid heterogeneity in "real world" settings and the association with predicted nicotine flux, nicotine yield, and total particulate matter (TPM) emissions. Past 30-day ECIG users (n = 84; mean age = 23.8 years [SD = 9.6]) reported device and liquid characteristics. Device power was measured via multimeter, device display screens, or obtained via labeling. Liquid nicotine concentration was obtained via labeling or through chemical analysis. Predicted nicotine flux, nicotine yield, and TPM associated with 10 4-second puffs were calculated for participants' primary devices. Results Participants' primary devices were box mods (42.9%), disposable vapes (20.2%), and pod mods (36.9%). Most participants (65.5%) reported not knowing their primary device wattage. Rebuildable/box mods had the greatest power range (11.1–120.0 W); pod mod power also varied considerably (4.1–21.7 W). Unlike device wattage, most participants (95.2%) reported knowing their liquid nicotine concentration, which ranged from 3.0 to 86.9 mg/ml (M = 36.0, SD = 29.3). Predicted nicotine flux varied greatly across products (range =12.0–160.1 μg/s, M = 85.6 μg/s, SD = 34.3). Box mods had the greatest variability in wattage and predicted nicotine flux, nicotine yield, and TPM yield. Conclusions ECIG device and liquid heterogeneity influence nicotine and other toxicant emissions. Better measurement of ECIG device and liquid characteristics is needed to understand nicotine and toxicant emissions and to inform regulatory policy. Implications ECIG device and liquid heterogeneity cause great variability in nicotine flux and toxicants emitted. These data demonstrate the need to examine device and liquid characteristics to develop empirically informed, health-promoting regulatory policies. Policies may include setting product standards such that ECIG products cannot (1) have nicotine fluxes much greater than that of a cigarette to decrease the risk of dependence, (2) have nicotine fluxes that are very low and thus would have minimal appeal to cigarette smokers and may serve as starter products for youth or nontobacco users, and (3) emit large amounts of particulate matter and other toxicants. [ABSTRACT FROM AUTHOR]