Biomarkers of metal exposure in adolescent e-cigarette users: correlations with vaping frequency and flavouring.

BACKGROUND: Youth vaping poses a significant public health concern as metals have been detected in e-cigarette aerosols and liquids. This study investigated factors associated with biomarkers of metal exposure. METHODS: Data were drawn from Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study Youth Panel, a nationally representative sample of US adolescents aged 13-17 years. Urinary biomarkers of exposure to cadmium, lead, and uranium were assessed by vaping frequency (occasional (1-5 days), intermittent (6-19 days), and frequent (20+ days)) in the past 30 days and flavour type (menthol/mint, fruit, and sweet). RESULTS: Among 200 exclusive e-cigarette users (median age 15.9 years, 62.9% female), 65 reported occasional use, 45 reported intermittent use, and 81 reported frequent use. The average number of recent puffs per day increased exponentially by vaping frequency (occasional: 0.9 puffs, intermittent: 7.9 puffs, frequent: 27.0 puffs; p=0.001). Both intermittent (0.21 ng/mg creatinine) and frequent users (0.20 ng/mg creatinine) had higher urine lead levels than occasional users (0.16 ng/mg creatinine). Frequent users also had higher urine uranium levels compared with occasional users (0.009 vs 0.005 ng/mg creatinine, p=0.0004). Overall, 33.0% of users preferred using menthol/mint flavours, 49.8% fruit flavours, and 15.3% sweet flavours. Sweet flavour users had higher uranium levels compared with menthol/mint users (0.009 vs 0.005 ng/mg creatinine, p=0.02). CONCLUSIONS: Vaping in early life could increase the risk of exposure to metals, potentially harming brain and organ development. Regulations on vaping should safeguard the youth population against addiction and exposure to metals.

Racial Disparities in Patterns and Modes of Current and Daily Marijuana Use among Adults Living with Children.

OBJECTIVE: This study sought to examine racial disparities in marijuana use among U.S. adults living with children. METHODS: Data are drawn from the 2022 Behavioral Risk Factor Surveillance System to examine the prevalence of current (past month) and frequent (≥20 days in the last 30 days) marijuana use along with the mode of marijuana use by 7 racial and ethnic groups (non-Hispanic [NH] White, NH-Black, Hispanic, NH American Indian or Alaskan Native [AI/AN], NH-Asian, NH Native Hawaiian or other Pacific Islander only [NH/PI], and other/multiple races, n=22,659). RESULTS: Compared to NH White adults with children, NH Black adults had a higher prevalence of current marijuana use (23.1% vs. 16.9%, p=0.003) and NH AI/AN adults had two times higher prevalence of frequent use (17.3% vs. 8.4%, p=0.0003). Adults living in recreational marijuana legal states (vs. no) were also more likely to report marijuana use, and there were significant age × race/ethnicity and education × race/ethnicity interactions (p<0.05) on marijuana use. Regarding the mode of use, racial minority users except Asians also reported a higher prevalence of smoking marijuana than their White counterparts. CONCLUSIONS AND RELEVANCE: Substantial racial disparities in marijuana use patterns among adults who live with children highlight a potential risk for adolescents' health. Addressing these differences is essential for promoting equitable health outcomes in diverse communities.

Correlates of using E-cigarettes with high nicotine concentrations among U.S. adults who exclusively vape E-cigarettes or dual use with cigarettes.

BACKGROUND: Identifying the correlates of using e-cigarettes with high nicotine concentrations in exclusive and dual-using vapers can elucidate which subpopulations might be most impacted by e-cigarette regulatory activities related to nicotine concentration. METHODS: Data are drawn from Wave 5 (December 2018-November 2019) of the Population Assessment of Tobacco and Health (PATH) study. Self-reported nicotine concentration was grouped as high (5.0 %+), moderate (1.8-4.9 %), low (0.1-1.7 %), 0 %, and "I don't know." Multivariable logistic regressions estimated associations of sociodemographic factors, tobacco use status, and e-cigarette use patterns of high nicotine concentration vs. other nicotine levels, stratified by current exclusive e-cigarette use and dual use of e-cigarettes and cigarettes. RESULTS: In the study samples (exclusive e-cigarette use [n = 1,755], dual-use [n = 1,200]), higher proportions of exclusive e-cigarette users reported using high nicotine concentrations than dual users (18.3 % vs. 8.6 %). Among exclusive e-cigarette users, never vs. former smokers and daily (vs. someday) e-cigarette users were more likely to use high vs. low nicotine. In both exclusive and dual users, younger (vs. older) adults were more likely to report using high nicotine concentration e-cigarettes than most other nicotine levels. Current dual users who did vs. did not report using e-cigarettes to quit smoking had higher odds of using high vs. 0 % nicotine concentrations. CONCLUSIONS: High-nicotine e-cigarette use might be elevated in subpopulations that face greater risks for vaping (e.g., never smokers, young adults) than groups who benefit from the potential harm reduction. Regulatory restrictions on high-nicotine products may selectively affect some subgroups adversely impacted by vaping.

Biomarker Assessment of Nicotine Exposure Among Adolescent E-Cigarette Users: 2018-2019.

BACKGROUND: Despite the increasing prevalence of vaping e-cigarettes among adolescents, there remains a lack of population-level assessments regarding the objective measurement of nicotine exposure. METHODS: This study analyzed a nationally representative sample of adolescents aged 13 to 17 years from Wave 5 of the Population Assessment of Tobacco and Health Study conducted between 2018 and 2019. Urinary nicotine metabolites, including cotinine and trans-3'-hydroxycotinine (3-HC), were assessed among exclusive nonnicotine e-cigarette users (n = 56), exclusive nicotine e-cigarette users (n = 200), and nonusers (n = 1059). We further examined nicotine exposure by past 30-day vaping frequency (ie, occasional [1-5 days], intermittent [6-19 days], and frequent [20+ days]) and flavor types among nicotine e-cigarette users. Multivariable linear regressions tested pairwise group effects, and biomarkers were normalized by the log transformation. RESULTS: Compared with nonusers, both nonnicotine and nicotine e-cigarette users exhibited higher levels of cotinine and 3-HC. Nicotine e-cigarette users had mean cotinine concentrations (61.3; 95% confidence interval, 23.8-158.0, ng/mg creatinine) approximately 146 times higher (P < .0001) than nonusers (0.4; 0.3-0.5), whereas nonnicotine users (4.9; 1.0-23.2) exhibited cotinine concentrations ∼12 times higher (P = .02). Among nicotine e-cigarette users, the levels of cotinine and 3-HC increased by vaping frequency, with cotinine increasing from 10.1 (2.5-40.1) among occasional users to 73.6 (31.8-170.6) among intermittent users and 949.1 (482.5-1866.9) among frequent users. Nicotine exposure was not significantly different by flavor type. CONCLUSIONS: E-cigarette use poses health-related risks resulting from nicotine exposure among adolescents. Comprehensive regulations of e-cigarette products and marketing, vaping prevention, cessation, and public policies are needed to prevent youth from developing nicotine addiction.

Maternal Tobacco Use During Pregnancy and Child Neurocognitive Development.

Importance: Maternal tobacco use during pregnancy (MTDP) persists across the globe. Longitudinal assessment of the association of MTDP with neurocognitive development of offspring at late childhood is limited. Objectives: To examine whether MTDP is associated with child neurocognitive development at ages 9 to 12 years. Design, Setting, and Participants: This cohort study included children aged 9 and 10 years at wave 1 (October 2016 to October 2018) and aged 11 to 12 years at a 2-year follow-up (wave 2, August 2018 to January 2021) across 21 US sites in the Adolescent Brain Cognitive Development (ABCD) Study. Data were analyzed from June 2022 to December 2023. Exposure: MTDP. Main Outcomes and Measures: Outcomes of interest were neurocognition, measured by the National Institutes of Health (NIH) Toolbox Cognition Battery, and morphometric brain measures through the region of interest (ROI) analysis from structural magnetic resonance imaging (sMRI). Results: Among 11 448 children at wave 1 (mean [SD] age, 9.9 [0.6] years; 5990 [52.3%] male), 1607 children were identified with MTDP. In the NIH Toolbox Cognition Battery, children with MTDP (vs no MTDP) exhibited lower scores on the oral reading recognition (mean [SE] B = -1.2 [0.2]; P < .001), picture sequence memory (mean [SE] B = -2.3 [0.6]; P < .001), and picture vocabulary (mean [SE] B = -1.2 [0.3]; P < .001) tests and the crystallized cognition composite score (mean [SE] B = -1.3 [0.3]; P < .001) at wave 1. These differential patterns persisted at wave 2. In sMRI, children with MTDP (vs no MTDP) had smaller cortical areas in precentral (mean [SE] B = -104.2 [30.4] mm2; P = .001), inferior parietal (mean [SE] B = -153.9 [43.4] mm2; P < .001), and entorhinal (mean [SE] B = -25.1 [5.8] mm2; P < .001) regions and lower cortical volumes in precentral (mean [SE] B = -474.4 [98.2] mm3; P < .001), inferior parietal (mean [SE] B = -523.7 [136.7] mm3; P < .001), entorhinal (mean [SE] B = -94.1 [24.5] mm3; P < .001), and parahippocampal (mean [SE] B = -82.6 [18.7] mm3; P < .001) regions at wave 1. Distinct cortical volume patterns continued to be significant at wave 2. Frontal, parietal, and temporal lobes exhibited differential ROI, while there were no notable distinctions in the occipital lobe and insula cortex. Conclusions and Relevance: In this cohort study, MTDP was associated with enduring deficits in childhood neurocognition. Continued research on the association of MTDP with cognitive performance and brain structure related to language processing skills and episodic memory is needed.

Genetic and environmental influence on alcohol intent and alcohol sips among U.S. children-Effects across sex, race, and ethnicity.

INTRODUCTION: Alcohol intent (the susceptibility to initiating alcohol use) and alcohol sips (the initiation of alcohol) in youth are a multifactorial puzzle with many components. This research aims to examine the connection between genetic and environmental factors across sex, race and ethnicity. METHODS: Data was obtained from the twin hub of the Adolescent Brain Cognitive Development (ABCD) study at baseline (2016-2018). Variance component models were conducted to dissect the additive genetic (A), common (C) and unique environmental (E) effects on alcohol traits. The proportion of the total alcohol phenotypic variation attributable to additive genetic factors is reported as heritability (h2). RESULTS: The sample (n = 1,772) included an approximately equal male-female distribution. The 886 same-sex twin pairs were 60.4% dizygotic (DZ), 39.6% monozygotic (MZ), 65.4% non-Hispanic Whites, 13.9% non-Hispanic Blacks, 10.8% of Hispanics with a mean age of 121.2 months. Overall, genetic predisposition was moderate for alcohol intent (h2 = 28%, p = .006) and low for alcohol initiation (h2 = 4%, p = 0.83). Hispanics (h2 = 53%, p < .0001) and Blacks (h2 = 48%, p < .0001) demonstrated higher alcohol intent due to additive genetic factors than Whites (h2 = 34%, p < .0001). Common environmental factors explained more variation in alcohol sips in females (c2 = 63%, p = .001) than in males (c2 = 55%, p = .003). Unique environmental factors largely attributed to alcohol intent, while common environmental factors explained the substantial variation in alcohol initiation. CONCLUSION: Sex and racial/ethnic disparities in genetic and environmental risk factors for susceptibility to alcohol initiation can lead to significant health disparities. Certain populations may be at greater risk for alcohol use due to their genetic and ecological factors at an early age.

Association of Race-Ethnicity Intersection with Disparities in Cigarette Smoking in US Adults.

BACKGROUND: Detailed estimates of disparities in cigarette smoking across single- and multi-race groups and their intersections with ethnicity are lacking. This study estimates the prevalence of self-reported current smoking among intersecting adult race-ethnicity groups in the United States. METHODS: The analysis uses 2018-2019 data from the Tobacco Use Supplement - Current Population Supplement (TUS-CPS; n=137,471). Self-reported Hispanic origin and race were recoded into 19 mutually-exclusive race by ethnicity intersecting groups. Weighted race-ethnicity group smoking prevalence were compared to the overall population prevalence and one another. RESULTS: Compared to the US population current smoking prevalence (11.4% [95% CI=11.2%-11.6%]), smoking was particularly higher in non-Hispanic American Indian/Alaska Native (AI/AN) groups (20.7% [95% CI=17.8%-24.0%]) and non-Hispanic multiracial AI/AN/White (24.4% [95% CI = 20.3%-29.1%]) and AI/AN/Black (22.4% [95% CI = 14.4%-33.2%]) groups. Non-Hispanic single-race Asian (5.0% [95% CI = 4.4%-5.6%]) and Hispanic single-race White (7.2% [95% CI = 6.7%-7.7%]) smoking prevalence undercut the overall US population prevalence. In pairwise comparisons, smoking prevalence was higher in various non-Hispanic single- and multi-race AI/AN groups than non-AI/AN groups and was lower in various Hispanic groups than non-Hispanic groups. CONCLUSION: Smoking prevalence disparities are not monolithic across complex diversity of race and ethnicity in the US. Accurate identification of priority populations in need of targeted tobacco control efforts may benefit by acknowledging multinomial heterogeneity across intersecting racial and ethnic identities. IMPLICATION: Understanding racial and ethnic disparities in cigarette smoking can inform national strategies for reducing health inequities. This study examines cigarette smoking disparities among 19 adult intersecting race-ethnicity groups in the United States using the 2018-2019 TUS-CPS data. Results show higher smoking rates in some non-Hispanic American Indian/Alaska Native and Black groups, while lower rates are seen in Asian and Hispanic individuals. These findings emphasize the need for disaggregated data to tackle smoking disparities and guide targeted prevention efforts.

Perceived racism and discrimination and youth substance use in the United States - Intersections with sex and ethnicity.

OBJECTIVES: This study sought to examine associations between U.S. adolescents' perceived racism and discrimination (PRD) at school and current substance use. METHODS: Data were drawn from the Adolescent Behaviors and Experiences Survey (ABES), a probability sample of U.S. high school students in 2021 (n = 7705). Multivariable regression models were conducted to examine associations of PRD with current (past 30-day) use of tobacco products, marijuana, alcohol, and prescription opioid misuse. Interaction effects of PRD and demographic factors were tested. RESULTS: Among participants in the 2021 ABES, PRD was associated with higher odds of current use of tobacco (AOR = 1.3, p = 0.03), marijuana (AOR = 1.3, p = 0.03), alcohol (AOR = 1.2, p = 0.03), and misuse of prescription opioids (AOR = 1.6, p = 0.004). The effects of PRD on current tobacco and alcohol use differed by Hispanic and non-Hispanic adolescents (interaction effect = 0.007 and 0.01, respectively) with higher odds among Hispanic youth than among non-Hispanic counterparts. The associations of PRD and current tobacco use, marijuana use, alcohol use, and misuse of prescription opioids were moderated by sex with more pronounced effects on males than females. CONCLUSIONS: Efforts to promote awareness and create support environments that value diversity and inclusivity at school are needed to mitigate adolescent exposure to racism and discrimination.

Genetic and environmental influences on early-age susceptibility and initiation of nicotine-containing product use: A twin-pairs study.

INTRODUCTION: Nicotine-containing products (NCPs) such as electronic nicotine delivery systems (ENDS) are increasingly common throughout the landscape of youth use of nicotine-containing products (NCP), and have overtaken traditional cigarette smoking modalities. This study seeks to examine the genetic and environmental influences on liability for susceptibility and initiation of ENDS and other NCPs among US children. METHODS: Data were drawn from 886 monozygotic (MZ) and dizygotic (DZ) twin pairs aged 9-10 years in the Adolescent Brain & Cognitive Development (ABCD) study at the baseline during 2016-2018. Heritability (h2) measured the proportion of the total phenotypic variation attributable to genes. Variance component models were utilized to analyze influences from the common environment (c2) and unique environmental factors (e2), taking into account correlations within twin pairs. RESULTS: The national sample included 50% females, 69.5% of non-Hispanic Whites, 12.8% of non-Hispanic Blacks, and 11.6% of Hispanics, with a mean age of 121.5 months. The twin sets were 60% DZ and 40% MZ. Heritability was low for NCP susceptibility (h2=0) and moderate for NCP initiation (h2=39%, p=0.02). The variance associated with NCP susceptibility was primarily influenced by environmental factors, especially one's unique factors (c2=37%, p<0.0001 vs e2=63%, p<0.0001). In contrast, the variance associated with NCP initiation was split across common and unique environmental factors (c2=32%, p=0.02 vs e2=29%, p=0.02). CONCLUSIONS: In the era with ENDS use surging among youth, NCP initiation remains to be a heritable trait with joint influence from the environment. NCP susceptibility is largely influenced by environmental factors, especially unique environments. Continued assessment of gene × environment interaction can better inform future youth NCP interventions.

A general class of small area estimation using calibrated hierarchical likelihood approach with applications to COVID-19 data.

The direct estimation techniques in small area estimation (SAE) models require sufficiently large sample sizes to provide accurate estimates. Hence, indirect model-based methodologies are developed to incorporate auxiliary information. The most commonly used SAE models, including the Fay-Herriot (FH) model and its extended models, are estimated using marginal likelihood estimation and the Bayesian methods, which rely heavily on the computationally intensive integration of likelihood function. In this article, we propose a Calibrated Hierarchical (CH) likelihood approach to obtain SAE through hierarchical estimation of fixed effects and random effects with the regression calibration method for bias correction. The latent random variables at the domain level are treated as 'parameters' and estimated jointly with other parameters of interest. Then the dispersion parameters are estimated iteratively based on the Laplace approximation of the profile likelihood. The proposed method avoids the intractable integration to estimate the marginal distribution. Hence, it can be applied to a wide class of distributions, including generalized linear mixed models, survival analysis, and joint modeling with distinct distributions. We demonstrate our method using an area-level analysis of publicly available count data from the novel coronavirus (COVID-19) positive cases.

Racial and ethnic disparities in biomarkers of exposure and potential harm among U.S. adult exclusive e-cigarette users: 2013-2019.

OBJECTIVE: Provide evidence on racial and ethnic differences in biomarkers of exposure from rising e-cigarette use among U.S. adults. METHODS: Data were drawn from Waves 1-5 of the Population Assessment of Tobacco and Health study (September 2013-November 2019). Differences in biomarkers of exposure and potential harm (BOE/BoPH) across non-Hispanic (NH)-Whites, NH Blacks, Hispanic/Latinos, and NH others were examined using generalized estimation equations. RESULTS: Among exclusive e-cigarette users, mean concentrations of BOEs/BoPHs were not significantly different across NH Blacks (n=97), NH others (n=122), and NH Whites (n=1062), after adjustment by wave, age, sex, education, exposure to the secondhand smoke, and the number of recent puffs. Compared to NH Whites, Hispanics (n=151) had lower concentrations of nicotine equivalents (0.5[0.2-1.7] vs. 15.5 [12.5-19.1] nmol/mg creatinine, p<.0001), cotinine (33.4[9.7-114.7] vs. 1008.3 [808.3-1257.9] ng/mg creatinine, p<.0001), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) (2.6[1.5-4.4] vs. 5.7 [4.9-6.6] pg/mg creatinine, p=.004), but similar concentrations of BOEs for heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and oxidative stress. Differences between Hispanics and NH Whites are expected, given different e-cigarette use profiles. Specifically, Hispanics were less likely to be daily vapers (49.4[35.1-63.8]% vs 81.3[77.7-84.5]%, p<.0001) and nicotine e-cigarette users (72.7 [64.0-79.9]% vs. 89.2 [86.4-91.5]%, p=.0002] and reported a lower number of recent puffs (mean[standard error]=16.7[3.6] vs. 28.6[2.0], p=.02] than their NH-White counterparts. Hispanic vapers were also less likely than NH Whites to have previously smoked cigarettes (49.7 [37.2-62.3]% vs. 88.5 [84.7-91.5]%, p<.0001]). CONCLUSIONS: Hispanic vapers exhibited lower exposure to nicotine metabolites and carcinogens than their non-Hispanic White counterparts. The harm reduction potential from e-cigarette use are likely to be realized across diverse racial and ethnic groups.

Adoption of Vaping Cessation Methods by US Adolescent E-Cigarette Users.

BACKGROUND: A large number of adolescent e-cigarette users intend to quit vaping or have past-year quit attempts. However, it remains unknown which methods they use in their vaping cessation efforts. METHODS: We analyzed current (past 30-day) e-cigarette users who made ≥1 quit attempt in the past 12 months from the 2021 National Youth Tobacco Survey (NYTS) to examine the prevalence and associations of sociodemographic factors, vaping behaviors, and harm perception with the adoption of different vaping cessation methods. RESULTS: In the 2021 NYTS, there were 1436 current vapers, and 889 (67.9%) had made a past-year quit attempt. Of those, 575 (63.7%) (weighted N = 810 000) reported they did not use any resources (unassisted quitting). Peer support (14.2%), help on the Internet (6.4%), a mobile app or text messaging (5.9%), and parent support (5.8%) were the top 4 cessation methods. Female (versus male) vapers were less likely to solicit parent support (adjusted odds ratio [AOR], 0.2; 95% confidence interval [95% CI], 0.1-0.5), whereas Hispanic (versus White) vapers were more likely to seek friend support (AOR, 2.1; 95% CI, 1.1-3.9) and parent support (AOR, 2.7, 95% CI, 1.2-6.3). Those who perceived vaping to be harmful were less likely to get friend support, but more likely to use a mobile app or text messaging program. Dual users of e-cigarettes and any other tobacco product were more likely to get help from a teacher/coach or a doctor/health care provider and treatment from medical facilities than sole e-cigarette users. CONCLUSIONS: There were different correlates with the adoption of vaping cessation methods, highlighting the need for tailored approaches to meet the cessation needs and preferences of the adolescent vaping population.

Can delay discounting predict vaccine hesitancy 4-years later? A study among US young adults.

Despite being a major threat to health, vaccine hesitancy (i.e., refusal or reluctance to vaccinate despite vaccine availability) is on the rise. Using a longitudinal cohort of young adults (N = 1260) from Los Angeles County, California we investigated the neurobehavioral mechanisms underlying COVID-19 vaccine hesitancy. Data were collected at two time points: during adolescence (12th grade; fall 2016; average age = 16.96 (±0.42)) and during young adulthood (spring 2021; average age = 21.33 (±0.49)). Main outcomes and measures were delay discounting (DD; fall 2016) and tendency to act rashly when experiencing positive and negative emotions (UPPS-P; fall 2016); self-reported vaccine hesitancy and vaccine beliefs/knowledge (spring 2021). A principal components analysis determined four COVID-19 vaccine beliefs/knowledge themes: Collective Responsibility, Confidence and Risk Calculation, Complacency, and Convenience. Significant relationships were found between themes, COVID-19 vaccine hesitancy, and DD. Collective Responsibility (ß = -1.158[-1.213,-1.102]) and Convenience (ß = -0.132[-0.185,-0.078]) scores were negatively associated, while Confidence and Risk Calculation (ß = 0.283[0.230,0.337]) and Complacency (ß = 0.412[0.358,0.466]) scores were positively associated with COVID-19 vaccine hesitancy. Additionally, Collective Responsibility (ß = -0.060[-0.101,-0.018]) was negatively associated, and Complacency (ß = -0.063[0.021,0.105]) was positively associated with DD from fall 2016. Mediation analysis revealed immediacy bias during adolescence, measured by DD, predicted vaccine hesitancy 4 years later while being mediated by two types of vaccine beliefs/knowledge: Collective Responsibility (ß = 0.069[0.022,0.116]) and Complacency (ß = 0.026[0.008,0.044]). These findings provide a further understanding of individual vaccine-related decision-making among young adults and inform public health messaging to increase vaccination acceptance.

Prevalence and Factors Associated With Vaping Cannabidiol Among US Adolescents.

Importance: e-Cigarette use and vaping marijuana (cannabis) are popular among US adolescents. Cannabidiol (CBD) is a compound found in the cannabis plant that has recently increased in use. Objectives: To examine the prevalence of and factors associated with youths vaping CBD. Design, Setting, and Participants: This cross-sectional study included a nationally representative sample of students from middle and high schools (typical age, 11-18 years) in the US from the 2022 National Youth Tobacco Survey, conducted from January to May 2022. Exposure: Demographic characteristics, harm perception of tobacco use, and vaping behaviors. Main Outcomes and Measures: The main outcomes were weighted prevalence and population estimates of ever and current (past 30-day) vaping of CBD overall and by e-cigarette use status. Multivariable logistic regression analyses were conducted to estimate the association of currently vaping CBD with demographic factors and e-cigarette and tobacco use behaviors stratified by current e-cigarette use status. Results: The study included 28 291 participants (51.1% male; mean [SD] age, 14.5 [2.0] years). Among 2448 current e-cigarette users, 21.3% (95% CI, 18.4%-24.1%) reported any past-month vaping of CBD and 6.3% (95% CI, 4.7%-7.8%) reported that they did not know whether they had vaped CBD. Hispanic e-cigarette users were more likely than their non-Hispanic White peers to report currently vaping CBD (adjusted odds ratio [AOR], 1.9; 95% CI, 1.3-2.8). Current e-cigarette users with higher frequency (≥20 days vs ≤5 days) and longer duration (2-3 years or >3 years vs <1 year) of use were more likely to report currently vaping CBD (frequency: AOR, 1.5 [95% CI, 1.1-1.9]; 2-3 years: AOR, 2.2 [95% CI, 1.2-3.9]; 3 years: AOR, 3.2 [95% CI, 1.7-6.1]). Among 25 091 noncurrent e-cigarette users, 1.2% (95% CI, 1.0%-1.5%) reported currently vaping CBD and 2.3% (95% CI, 2.1%-2.6%) reported that they did not know. High school students (vs middle school students; AOR, 4.2; 95% CI, 2.8-6.1) and gay or lesbian (AOR, 2.9; 95% CI, 1.6-5.4) or bisexual (AOR, 2.7; 95% CI, 1.8-4.0) (vs heterosexual) youths were more likely to report vaping CBD, while those who perceived tobacco as dangerous (vs not dangerous; AOR, 0.4; 95% CI, 0.3-0.6) had lower odds of reporting vaping CBD. Conclusions and Relevance: In this cross-sectional study of US middle and high school students, the prevalence of youths vaping CBD was high, particularly among e-cigarette users and Hispanic and sexual minority populations. The findings suggest that evidence-based educational campaigns, interventions, and public policy changes are needed to reduce the harmful health outcomes possible with vaping CBD among developing youths.

Biomarkers of Toxic Exposure and Oxidative Stress Among U.S. Adult Users of Premium Cigar Versus Other Cigar Subtypes: 2013-2019.

INTRODUCTION: Cigars are currently the second-highest-used combustible tobacco product among U.S. adults, but knowledge about health effects of premium cigars versus other cigar subtype use is limited. AIMS AND METHODS: This study analyzed the biospecimen data (n = 31 875) from Waves 1-5 of the Population Assessment of Tobacco and Health Study, collected during 2013-2019. Multivariable generalized estimation equations, accounting for within-person clustering, were conducted to examine differences in urine biomarkers of exposure (BOE) from five classes of harmful and potentially harmful constituents along with a biomarker of oxidative stress (urine 8-isoprostane) among exclusive users of premium cigars versus other exclusive cigar subtypes (ie, non-premium large cigars, cigarillos, and filtered cigars), cigarettes, and non-tobacco users. RESULTS: In comparison to non-tobacco users, exclusive premium cigar users had higher geometric mean concentrations of the nicotine metabolite cotinine (5.8 vs. 0.5ng/mg, p < .0001), tobacco-specific nitrosamine (TSNA) (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL): 7.8 vs. 1.3pg/mg, p < .0001), and volatile organic compound (VOC) (N-Acetyl-S-(2-cyanoethyl)-L-cysteine (CYMA, acrylonitrile): 4.7 vs. 1.6ng/mg, p < .0001). Exclusive premium cigar users were less likely to be daily users than other tobacco user groups and had comparable BOEs with exclusive non-premium large cigar users but generally lower BOEs than exclusive cigarillo, filtered cigar, and cigarette smokers. Daily exclusive premium cigar users had similar nicotine and TSNA exposure but lower exposure to polycyclic aromatic hydrocarbons and volatile organic compounds than exclusive cigarillo and filtered cigar users. CONCLUSIONS: Premium cigar use exhibits different exposure to toxicants from other cigar subtype users. Regulations of premium cigars need to formalize product definition and take the population's health effects into consideration. IMPLICATIONS: This population study provides important information on BOE and potential harm with premium cigar use and its potential health effects. At present, premium cigars appear to pose a relatively low overall population health risk due to low frequency of use. However, future regulation of other tobacco products might change the landscape of premium cigar use and alter the overall health impact.

Untargeted Metabolomic Analysis of Sjögren-Larsson Syndrome Reveals a Distinctive Pattern of Multiple Disrupted Biochemical Pathways.

Sjögren-Larsson syndrome (SLS) is a rare inherited neurocutaneous disease characterized by ichthyosis, spastic diplegia or tetraplegia, intellectual disability and a distinctive retinopathy. SLS is caused by bi-allelic mutations in ALDH3A2, which codes for fatty aldehyde dehydrogenase (FALDH) and results in abnormal lipid metabolism. The biochemical abnormalities in SLS are not completely known, and the pathogenic mechanisms leading to symptoms are still unclear. To search for pathways that are perturbed in SLS, we performed untargeted metabolomic screening in 20 SLS subjects along with age- and sex-matched controls. Of 823 identified metabolites in plasma, 121 (14.7%) quantitatively differed in the overall SLS cohort from controls; 77 metabolites were decreased and 44 increased. Pathway analysis pointed to disrupted metabolism of sphingolipids, sterols, bile acids, glycogen, purines and certain amino acids such as tryptophan, aspartate and phenylalanine. Random forest analysis identified a unique metabolomic profile that had a predictive accuracy of 100% for discriminating SLS from controls. These results provide new insight into the abnormal biochemical pathways that likely contribute to disease in SLS and may constitute a biomarker panel for diagnosis and future therapeutic studies.

Strengthening Tobacco 21 implementation and enforcement to reduce tobacco-related health disparities: A stakeholder engagement project.

INTRODUCTION: As a part of a priority-setting stakeholder engagement project to strengthen the impact of the federal Tobacco 21 (T21) law, we conducted a qualitative study to solicit input from a nationwide sample of tobacco control stakeholders regarding the implementation, enforcement, and equity implications of the T21 law. METHODS: Following the T21 policy evaluation guidance developed by the Centers for Disease Control (CDC), we identified T21 experts in four domains: policy, evaluation, subject matter, and implementation from a national search of stakeholders (invitations, n=1279) to account for geographical variation. This study presents results from five focus groups conducted in December 2021 among stakeholders (n=31) with experience in T21 policy, evaluation, subject matter, and implementation. RESULTS: Participating T21 stakeholders reported on eight themes from four main topic areas: 1) Implementation, 2) Enforcement, 3) Equity outcomes, and 4) Recommended changes from stakeholders. Stakeholders shared insights on both passive and active implementation methods used in their communities, and highlighted major barriers such as the absence of a standardized tobacco retail licensing mandate and insufficient resources. Regarding T21 enforcement, stakeholders believed that current deterrents for retail violations might not be effective. They noted that vape and tobacco shops and online sales of tobacco products are emerging major challenges in T21 enforcement. Stakeholders also discussed possible health inequities that may be exacerbated by heterogenous implementation of the T21 law. CONCLUSIONS: To strengthen T21 and mitigate potential exacerbation of existing health inequities, greater alignment of federal, state, and local efforts to reduce heterogeneity of implementation and enforcement of the T21 law is recommended.

Appeal of e-cigarette flavors: Differences between never and ever use of combustible cigarettes.

BACKGROUND: Characterizing the appeal of flavored e-cigarette solutions by tobacco product use status can inform regulations to reduce vaping in those who never smoked without discouraging adopting e-cigarettes as a quit-smoking aid. METHODS: Adults aged 21+ who currently use tobacco products (N = 119) self-administered standardized puffs of eight non-tobacco flavored and two tobacco-flavored e-cigarette solutions using a pod-style device. Participants rated appeal (0-100 scale) following each administration. Mean differences in flavor appeal ratings were compared between four groups: people who never smoked/currently vape, formerly smoked/currently vape, currently smoke/currently vape, and currently smoke/do not vape (with interest in vaping). RESULTS: The Global Flavor (all non-tobacco vs. tobacco)×Group interaction (p = .028) revealed higher appeal for non-tobacco vs. tobacco flavors in adults who never smoked/currently vape (B[95 %CI] = 13.6[4.1-23.1]), formerly smoked/currently vape (B[95 %CI] = 11.6[4.2-18.9]), and currently smoke/currently vape (B[95 %CI] = 9.3[2.5-11.6]), but not adults who currently smoke/never vaped (B[95 %CI] = -0.1[-5.1 to 4.9]). In flavor-specific analyses, adults who never smoked/currently vape rated strawberry (p = .022), peppermint (p = .028), and menthol (p = .028) more appealing than tobacco flavors. Among adults who formerly smoked/currently vape, strawberry (p < .001), peppermint (p = .009), and vanilla (p = .009), were more appealing than tobacco. Adults who currently smoked/currently vape rated peppermint (p = .022) and vanilla (p = .009) as more appealing than tobacco. No non-tobacco flavors were more appealing than tobacco in adults who currently smoke/never vaped. CONCLUSIONS: E-cigarette sales restrictions on non-tobacco flavors, including menthol, may eliminate products preferred by adults who vape, including those who never smoked, without discouraging adults who currently smoke and never vaped from trying e-cigarettes.

Randomised experiment for the effect of 'Tobacco-Free Nicotine' messaging on current e-cigarette users' perceptions, preferences and intentions.

BACKGROUND: It is unclear whether emerging synthetic tobacco-free nicotine superiority messages such as 'better flavor and better experience' and 'no residual impurities of tobacco-derived nicotine' may impact consumer perception and product choice between synthetic and tobacco-derived nicotine vaping products. METHODS: Through a 2022 online survey of current e-cigarette users, we identified synthetic nicotine never users for randomisation into an embedded between-subjects experiment. The test group (n=186) viewed a tobacco-free nicotine message versus no message control (n=168). Multivariable regressions assessed messaging effects on three comparative measures between tobacco-free and tobacco-derived nicotine: harm perception, purchase intention and willingness to pay. RESULTS: Participants (n=354; age, mean (SD)=34.6 (11.1) years old) were recruited from geographically diverse regions with 27.7% rural residents. The overall sample comprised 44.1% females, 73.5% non-Hispanic white and 71.8% daily e-cigarette users. Sociodemographics and tobacco use status were not significantly different between two randomised groups. The test group (vs control) reported a higher intention to use tobacco-free than tobacco-derived nicotine vaping products (adjusted OR (AOR)=2.4, 95% CI 1.3 to 4.4, p=0.006) and willingness to pay more for tobacco-free nicotine vaping products (AOR=2.6, 95% CI 1.2 to 5.8, p=0.02). Urban (vs rural) synthetic-naïve vapers had lower harm perception (AOR=2.0, 95% CI 1.1 to 3.6, p=0.02) and higher intention to use tobacco-free than tobacco-derived nicotine vaping products (AOR=2.2, 95% CI 1.1 to 4.5, p=0.04); infrequent vapers were more willing to pay more for tobacco-free nicotine vaping products (AOR=1.1, 95% CI 1.03 to 1.17, p=0.002). CONCLUSION: Tobacco-free nicotine marketing message may prompt the transition to and promote a price premium for such products. With the proliferation of products in the market, comprehensive regulation of emerging synthetic vaping products is needed.

Reasons for E-cigarette Use, Vaping Patterns, and Cessation Behaviors Among US Adolescents.

INTRODUCTION: This study sought to examine reasons for youth e-cigarette use in association with vaping patterns and cessation behaviors. AIMS AND METHODS: A national representative sample of current (past 30-day) e-cigarette users in grades 6-12 was analyzed using the National Youth Tobacco Survey (NYTS), conducted from January to March 2020. An exploratory oblique factor analysis using a rotated pattern matrix to select salient variable-factor relationships yielded four subscales related to reasons for youth e-cigarette use. Multivariate logistic regressions were performed to assess the associations of each subscale with vaping patterns (frequent e-cigarette use, dual use of e-cigarettes and other tobacco products) and vaping cessation behaviors (intention to quit vaping and past-year quit attempts). RESULTS: The 2020 NYTS sampled 180 schools with 1769 current e-cigarette users. Four main reasons for vaping were identified through factor analysis, including (1) replacing cigarettes, (2) product characteristics [eg, flavors, concealability, and vape tricks], (3) family/friend use, and (4) curiosity. Curiosity was associated with lower odds of frequent e-cigarette use (adjusted odds ratio [AOR] = 0.5, p < .0001) and dual use of e-cigarettes and other tobacco products (AOR = 0.6, p = .01) but higher odds of intention to quit (AOR = 1.2, p = .26) and past year quit attempts (AOR =1.5, p = .01). Vaping due to product characteristics was associated with higher odds of frequent e-cigarette use (AOR = 1.7, p < .0001) and lower odds of intention to quit (AOR = 0.3, p < .0001) and past year quit attempts (AOR = 0.9, p = .01). CONCLUSIONS: Adolescents vape for various reasons that follow distinct patterns and user characteristics. Overall, interventions tailored to address heterogeneous reasons for vaping may help optimize the reduction in youth e-cigarette use. IMPLICATIONS: E-cigarettes have surpassed cigarettes and become the most commonly used tobacco product by US youths. Adolescents choose to vape for different reasons. This study examined reasons for youth e-cigarette use and their associations with vaping patterns and cessation behaviors. The product characteristics factor (eg, flavors, concealability, and vape tricks) was associated with more frequent e-cigarette use and lower odds of cessation behaviors, suggesting a need for flavor bans and product design regulation.