Cannabis vaping use in emerging adulthood: Characterizing transitions between stages of vaping among a diverse cohort in Texas.

OBJECTIVE: To characterize and compare transitions in cannabis (THC) vaping by sociodemographic and other risk factors among a diverse cohort of youth and young adults observed between Spring 2019 and Fall 2021. METHODS: We analyzed six (6) waves of panel data from n = 2605 youth transitioning into young adulthood via the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system; participants provided N = 13,974 observations (i.e., completed surveys). The TATAMS sample was 37.7% Hispanic, 31.7% NH-White, 14.5% NH-Black, and 16.1% among NH-Other. We applied a three-state Markov model to estimate cannabis vaping initiation (never→ever), experimentation (never→current), escalation (ever→current), and de-escalation (current→ever). First, we compared transitions in THC vaping by race/ethnicity, with non-Hispanic (NH) Black as the referent. Second, we stratified the Markov models by race/ethnicity to identify common and unique predictors of cannabis vaping transitions, examining differences by: sex, age, alcohol use, depression (PHQ-9), anxiety (GAD-7) and nicotine vaping, across each race/ethnic category. RESULTS: At baseline, 72.7% never vaped cannabis, 12.7% ever vaped cannabis, and 14.5% currently vaped cannabis. Across three years, risk for cannabis vaping experimentation (never → current) was significantly greater among NH-Blacks, relative to Hispanics (aHR: 1.89), NH-Whites (aHR: 2.27), and NH-Other (aHR: 2.01). Stratified models showed that current alcohol use was a common predictor of cannabis vaping experimentation among NH-White (aHR: 5.08), Hispanic (aHR: 2.32), and NH-Black (aHR: 2.91) participants. Depression predicted cannabis vaping initiation among Hispanics (aHR: 1.75) and experimentation among NH-Blacks (aHR: 3.95). CONCLUSIONS: Onset of cannabis vaping during youth and young adulthood was most common among NH-Black youth, relative to other race/ethnic categories. Alcohol was a common predictor of cannabis vaping across race/ethnic categories while depression was linked to cannabis vaping transitions among Hispanic and NH-Black youth, only. Future research should investigate the link between alcohol use, mental health, and cannabis vaping among young people.

Problematic social media use and vaping among Mexican-American college students.

Introduction: Social media use and vaping nicotine are highly prevalent in the daily lives of young adults, especially among Mexican-American college students. The excessive and compulsive use of social media platforms, coupled with the urge to stay continuously connected, can lead to problematic social media use. To date, no studies have explored the impact of problematic social media use on the daily patterns of vaping among this vulnerable population. Methods: In Spring 2023, we employed Ecological Momentary Assessment over a period of 14 days to collect real-time daily data on participants' social media use and vaping behaviors via a mobile phone-based application. Participants were 51 Mexican-American college students aged 18-25 years, 72.5% female, who were current vapers. We used generalized linear regression models to examine differences in vaping behaviors among participants with and without problematic social media use. All regression models adjusted for age, sex, and SES. Results: Participants with problematic social media use vaped on an average of 5.9 days compared to 5.7 days reported by those without problematic social media use (p < .05). Problematic social media use is associated with more frequent daily vaping [b = 0.03; 95% CI: 0.02-0.05], increased number of days vaping [b = 0.14; 95% CI: 0.07-0.20], and vaping higher nicotine concentrations [b = 0.08; 95% CI: 0.03-0.14]. Conclusion: Results suggest that problematic social media use significantly increases the risk of daily vaping among Mexican-American college students. Findings highlight the need to strengthen digital resilience and social media literacy to help college students navigate and mitigate the risks of social media.

Psychosocial stressors of adolescents with E-cigarette, or vaping, product-use associated lung injury: A qualitative study.

BACKGROUND AND OBJECTIVES: Adolescent electronic cigarette (EC) use has reached epidemic rates and has been linked to numerous mental health and psychosocial stressors (PS). There is limited qualitative data on PS for adolescents with e-cigarette, or vaping, product-use associated lung injury (EVALI), a severe complication of EC use. METHODS: All patients hospitalized at Children's Medical Center in Dallas, Texas from 2018 to 2022 and met CDC case definitions for EVALI were included in the analysis. PS were extracted from the electronic health record and analyzed for recurring themes using the HEADSS assessment as a framework. Results were summarized using descriptive statistics, and representative quotations were selected to highlight each theme. RESULTS: Forty-three adolescents (mean age 16.3 years; 62.8 % male; 39.5 % Non-Hispanic White, 60.5 % Hispanic) were included in the analysis, and 40 (93 %) reported PS. The most common themes were family (51 %; "restraining order issued against 28-year-old brother"), polysubstance use (77 %; "experimenting with…ecstasy, LSD, CCC, misusing Adderall"), and mental health (63 %; "has been suicidal since he was 'a toddler'"). Less commonly, patients reported PS related to peers (28 %; "spending the entire day at the cemetery where his best friend was buried"), school (49 %; "attending his second alternative school"), and the legal system (19 %; "placed in juvenile detention, released, and will be on probation"). CONCLUSIONS: Adolescents with EVALI had PS that were chronic, severe, and involving multiple domains. These findings emphasize the importance of psychosocial screening in adolescents and coordinating interdisciplinary care with mental health and social services.

Depressive symptoms predict cannabis vaping initiation among young adults.

BACKGROUND: Young adults in the United States, including college students, have the highest prevalence of cannabis use compared with other age groups. Although cannabis vaping is increasingly prevalent during young adulthood, little is known about factors contributing to the onset of cannabis vaping during this developmental period. METHODS: Participants were 3085 cannabis vaping naïve young adults aged 18-25 years (M = 20.60; SD = 1.80), initially recruited from 24 Texas colleges and participating in a multi-wave, longitudinal study. A survival analysis was conducted to determine if participants reporting elevated depressive symptoms had an increased risk of onset of cannabis vaping over six follow-up waves from fall 2015 to spring 2019 compared to their peers with lower levels of depressive symptoms. Socio-demographic characteristics, time-varying past 30 day substance use, and time-varying peer nicotine vaping were included as covariates in the model. RESULTS: Twenty-five percent of participants initiated cannabis vaping during the four-year study period, with stable initiation rates from 2015 to 2017 but doubling from 2017 to 2019. Analyses, both unadjusted and adjusted for study covariates, indicated that elevated depressive symptoms were significantly associated with an increased risk of cannabis vaping initiation. CONCLUSION: Findings indicate that initiation of cannabis vaping during young adulthood is common, and particularly more likely among those with greater depressive symptoms, thus underscoring the importance of prevention programs that include mental health support services tailored to young adults.

Use of cigarettes and e-cigarettes, impulsivity and anxiety: Influences on suicidal ideation among youth and young adults in Texas.

INTRODUCTION: Cigarette use and smoking intensity increase risk of suicidal ideation. Less is known about e-cigarette use. Here we examine direct influences of cigarette versus e-cigarette use on suicidal ideation among 16-to-23-year-olds in Texas. METHODS: Since 2019 the Texas Adolescent Tobacco and Marketing Surveillance study collected data on suicidal ideation every six months covering the previous two-weeks. Youths answering that they had "thoughts that you would be better off dead, or of hurting yourself" on more than two of 14 days were categorized as having suicidal ideation. Generalized linear mixed-effects logistic regressions examined the influence of ever and past 30-day (P30D) use of cigarettes, e-cigarettes, impulsivity and anxiety on suicidal ideation, controlling for gender, race/ethnicity, SES, and grade in school. Interactions between ever and P30D use of both products and a) impulsivity and b) gender were examined. RESULTS: Of the 2,329 participants, 29.1% reported ever and 6.5% reported P30D cigarette use, 48.2% reported ever and 11.6% reported P30D e-cigarette use, and 18.5% reported suicidal ideation. Ever cigarette use among females (aOR=1.83; 95% CI: 1.36-2.46), P30D e-cigarette use (aOR=1.30; 95% CI: 1.00-1.68), and P30D cigarette use (aOR=1.47; 95% CI: 1.06-2.05) were independently associated with higher risk for suicidal ideation, after adjusting for covariates. Impulsivity and anxiety directly increased risk for suicidal ideation regardless of product type used. Hispanic youth had higher risk of suicidal ideation than white youth, while higher levels of SES were protective. CONCLUSION: Cigarette/e-cigarette use, as well as impulsivity and anxiety, directly increase the risk of suicidal ideation. IMPLICATIONS: Clinicians should ask young adults with a history of tobacco use, anxiety or impulsive behavior, about suicidal ideationNicotine prevention and cessation programs might be more effective if they simultaneously target substance use and mental healthCulturally appropriate support is needed for ethnic and racial minority youth and young adults in school, college and at workWhen evaluating and understanding risk, the role of multiple social identities (such as minority status, gender, and SES) is important.

Reasons for multiple tobacco product and cannabis co-use among Texas young adults.

OBJECTIVE: This study examines differences in reasons for e-cigarette, cigarette, and cannabis use across exclusive, dual, co-, and poly co-users. METHODS: Participants were 645 young adults who reported past 30-day (P30D) use of e-cigarettes, cigarettes, or cannabis at wave 14 (Fall, 2021) of the Texas Adolescent Tobacco Marketing and Surveillance System (TATAMS). Exclusive users reported P30D use of one product, dual users reported P30D use of e-cigarettes and cigarettes, co-users reported use of cannabis and one tobacco product, and poly co-users reported P30D use of all three products. Participants were asked if they agreed with a series of reasons for using their respective products. Multinomial logistic regression analyses were conducted to examine associations between reasons for use and pattern of use, controlling for sex, race/ethnicity, and lifetime product use. RESULTS: 26.36 % of P30D users reported cannabis and tobacco use. Poly co-users were more likely to report using e-cigarettes because their friends do than e-cigarette co-users (aRRR = 2.64; 95 %CI = 1.19-5.83) and dual tobacco users (aRRR = 5.11; 95 %CI = 1.73-15.12). Poly co-users were more likely to smoke cigarettes while drinking alcohol (aRRR = 4.68; 95 %CI = 1.06-20.72) or to experience a pleasurable buzz (aRRR = 5.48; 95 %CI = 1.62-18.57) than exclusive cigarette users. Poly co-users more often reported using cannabis for taste (aRRR = 3.13; 95 %CI = 1.51-6.51), because their friends use it (aRRR = 2.19; 95 %CI = 1.08-4.42), and while drinking alcohol (aRRR = 2.13; 95 %CI = 1.03-4.41) than exclusive cannabis users. CONCLUSIONS: Given that reasons for use differ significantly among types of multiple product users and exclusive users, interventions should be tailored to address the specific tobacco and cannabis use practices of young adults.

Blunt smoking during emerging adulthood: Characterizing transitions in cannabis and cigar co-use among a diverse cohort in Texas.

OBJECTIVE: To characterize and compare transitions in blunt smoking behaviors among a diverse cohort of youth and young adults observed between Spring 2019 and Fall 2021. METHODS: We analyzed n = 14,152 observations (i.e., completed surveys) provided by n = 2,610 youth and young adults over six (6) waves from Spring 2019 to Fall 2021 via the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were recruited in age-cohorts, reflecting 16.5 years (0.5), 18.5 years (0.6), and 20.1 years (0.8) of age at baseline. We applied a three-state Markov model to estimate blunt initiation (never â†’ ever), onset (never â†’ current), continuation (ever â†’ current), and discontinuation (current â†’ ever). First, we compared transitions in blunt smoking by race/ethnicity, with non-Hispanic (NH) Whites as the referent. Second, we stratified the Markov models by race/ethnicity to identify common and unique predictors of blunt transitions, including sex, age, alcohol use, depression, anxiety, and tobacco cigar smoking. RESULTS: At baseline, 73% of participants had never smoked blunts, 15.3% had ever smoked blunts s, and 11.7% currently smoked blunts. NHB (HR: 2.15; 95% CI: 1.21-3.84) and Hispanic (HR: 1.72; 95% CI: 1.08-2.72) participants had significantly greater risk of blunt smoking initiation, relative to NHWs. Similarly, NHBs had great risk for continuation (HR: 1.65; 95% CI: 1.16-2.34) and lower risk of discontinuation (HR: 0.57; 95% CI: 0.42-0.77), relative to NHWs. Alcohol use predicted greater risk for onset among NHW (HR: 5.22; 95% CI: 1.40-19.45), NHB (HR: 3.14; 95% CI: 1.32-7.46), and Hispanic (HR: 2.99; 95% CI: 1.80-4.97) participants. CONCLUSIONS: Blunt smoking initiation was most common among NHB and Hispanic youth and young adults while risk for sustained blunt smoking was higher in NHB youth and young adults. Research and interventions should investigate the link between alcohol use and elevated blunt smoking among young people.

Most commonly used vaping brands by 18-25 year old young adults in Texas-Spring 2023.

PURPOSE: We aimed to determine (1) the most commonly used brands of electronic vaping products (EVPs) by young adults in Texas during Spring 2023, and (2) if brand preferences differ by sociodemographic characteristics, current cigarette smoking, and current cannabis vaping. METHOD: Participants were 2,491 18-25-year-olds (Mean age = 20.6; 62.9% female; 29.7% sexual gender minority; 35.9% non-Hispanic White, 45.0% Hispanic/Latino, 3.5% non-Hispanic Black, 11.6% non-Hispanic Asian, and 4.0% two or more races or another race/ethnicity) enrolled in 21 Texas colleges during February-March 2023 who used EVPs in the past 30-days. RESULTS: Esco Bar was the most popular EVP brand (32.5%), followed by Elf Bar (19%), Vuse (10.1%), and all other brands were used by < 10% of participants. Nearly 20% of participants reported not having a usual brand. Participants who used Esco Bar, Elf Bar, and Puff Bar were younger (i.e., 18-20 years old), female, and Hispanic/Latino. Vuse, JUUL, and Smok were used by participants who were older (i.e., 21-25 years old), male, non-Hispanic white, used EVPs daily, and currently smoked cigarettes. CONCLUSION: The present study extends prior research by providing contemporary data on young adult EVP brand preferences in Texas during Spring 2023. Many of the brands commonly used by young adults (e.g., Esco Bar, Elf Bar) are not currently authorized for marketing or sale by the Food and Drug Administration. Findings underscore a need for additional enforcement efforts that prohibit the distribution and sale of these products to, in turn, prevent EVP use among young adults.

Use of Electronic Nicotine Delivery Systems and Age of Asthma Onset Among US Adults and Youths.

Importance: The association of use of electronic nicotine delivery systems (ENDS) with the age of asthma onset is unknown. Objective: To explore the association of past 30-day ENDS use with the age of asthma onset in adults and youths who did not have asthma or chronic obstructive pulmonary disease and never used cigarettes. Design, Setting, and Participants: This cohort study was a secondary analysis of waves 1 to 6 of the US nationally representative Population of Tobacco and Health Study (2013-2021). Eligible participants included adults (≥18 years) and youths (12-17 years) who did not have asthma or chronic obstructive pulmonary disease at the first wave of participation. Data analysis was conducted from September 2022 to April 2024. Exposure: Past 30-day ENDS use at the first wave of participation in the study preceding the onset of asthma. Main outcome and measures: Lower and upper age limits were estimated using the age reported at the first wave of participation and the number of weeks between follow-up waves until asthma was first reported or censored. The association of past 30-day ENDS use with the age of asthma onset was estimated using weighted interval-censoring Cox regression. The cumulative hazard function for the age of asthma onset was estimated using interval-censoring survival analysis. Results: A total of 24 789 participants were included, with 7766 adults (4461 female [weighted percentage, 59.11%] and 3305 male [weighted percentage, 40.89%]), representing 80.0 million adults, and 17 023 youths (8514 female [weighted percentage, 50.60%] and 8496 male [weighted percentage 49.32%]), representing 33.9 million youths. By age 27 years, 6.2 per 1000 adults reported asthma incidence (hazard ratio [HR], 0.62%; 95% CI, 0.46%-0.75%). While controlling for covariates, there was a 252% increased risk of the onset of asthma at earlier ages for adults who used ENDS in the past 30 days vs adults who did not (adjusted HR, 3.52; 95% CI, 1.24-10.02). For youths, there was no association of ENDS use in the past 30 days with age of asthma onset (adjusted HR, 1.79; 95% CI, 0.67-4.77), which could be due to a lack of statistical power. Conclusion and relevance: In this cohort study, past 30-day ENDS use among adults was associated with earlier ages of asthma onset. These findings suggest that prevention and cessation programs directed to adults who use ENDS are needed to educate the public, protect public health, prevent adverse health outcomes, and motivate users to stop. Furthermore, modifying symptom-screening asthma guidelines, resulting in earlier asthma detection and treatment, may reduce morbidity and mortality due to asthma.

Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1-5; 2013-2019).

OBJECTIVE: To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people. METHODS: Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1-5; 2013-2019). The study included 2,102 (N = 5,031,691) young people (age 12-23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms. RESULTS: We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92-1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92-1.89) and use within 30 min of waking for follow-up times 0-156 weeks (AHR = 0.84; 95 % CI = 0.55-1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04-4.67) respectively. CONCLUSION: Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.

Time to first report of signs of nicotine dependence among youth who use e-cigarettes and cigarettes in the United States: A nationally representative cohort study, findings from the Population Assessment of Tobacco and Health, 2013-2019.

OBJECTIVE: To determine the time to first report of signs of nicotine dependence among youth exclusive e-cigarette users and compare this time to that for exclusive cigarette users. METHODS: Secondary analysis of data (Waves 1-5; 2013-2019) from the Population Assessment of Tobacco and Health was conducted. Youth never tobacco users in the United States who reported exclusive past-30-day (P30D) e-cigarette or cigarette use (n = 2940, N = 5,391,642) in at least one wave were included in the current analysis. Survival analysis was used to estimate the time to the first report of three nicotine dependence indicators (i.e., "use within 30 minutes of waking"; "cravings" and "really needing to use") following the first report of P30D use. Multivariable Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR). RESULTS: There were no significant differences in the time to first report of "use within 30 minutes of waking" (aHR = 1.1, 95% CI = 0.87-1.40) and "cravings" (aHR = 1.09, 95% CI = 0.81-1.47) between exclusive P30D e-cigarette use and exclusive P30D cigarette use. However, compared to exclusive P30D e-cigarette use, the hazard of first reporting "really needing to use" tobacco was 39% (aHR 1.39; 95% CI: 1.05-1.84) times higher for those who reported exclusive P30D cigarette use after controlling for covariates. CONCLUSION: Compared to exclusive P30D cigarette use, no differences in the time to first report of signs of nicotine dependence ("use within 30 minutes" and "cravings") were observed among exclusive P30D e-cigarette users. Policymakers and regulatory agencies should consider this evidence when assessing the abuse liability of e-cigarette products.

Application of inverse weighting analysis to assess the association of youth perceptions with the age of initiation of tobacco products.

Introduction: To examine if perceptions of harmfulness and addictiveness of hookah and cigarettes impact the age of initiation of hookah and cigarettes, respectively, among US youth. Youth (12-17 years old) users and never users of hookah and cigarettes during their first wave of PATH participation were analyzed by each tobacco product (TP) independently. The effect of perceptions of (i) harmfulness and (ii) addictiveness at the first wave of PATH participation on the age of initiation of ever use of hookah was estimated using interval-censoring Cox proportional hazards models. Methods: Users and never users of hookah at their first wave of PATH participation were balanced by multiplying the sampling weight and the 100 balance repeated replicate weights with the inverse probability weight (IPW). The IPW was based on the probability of being a user in their first wave of PATH participation. A Fay's factor of 0.3 was included for variance estimation. Crude hazard ratios (HR) and 95% confidence intervals (CIs) are reported. A similar process was repeated for cigarettes. Results: Compared to youth who perceived each TP as "a lot of harm", youth who reported perceived "some harm" had younger ages of initiation of these tobacco products, HR: 2.53 (95% CI: 2.87-4.34) for hookah and HR: 2.35 (95% CI: 2.10-2.62) for cigarettes. Similarly, youth who perceived each TP as "no/little harm" had an earlier age of initiation of these TPs compared to those who perceived them as "a lot of harm", with an HR: 2.23 (95% CI: 1.82, 2.71) for hookah and an HR: 1.85 (95% CI: 1.72, 1.98) for cigarettes. Compared to youth who reported each TP as "somewhat/very likely" as their perception of addictiveness, youth who reported "neither likely nor unlikely" and "very/somewhat unlikely" as their perception of addictiveness of hookah had an older age of initiation, with an HR: 0.75 (95% CI: 0.67-0.83) and an HR: 0.55 (95% CI: 0.47, 0.63) respectively. Discussion: Perceptions of the harmfulness and addictiveness of these tobacco products (TPs) should be addressed in education campaigns for youth to prevent early ages of initiation of cigarettes and hookah.

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.

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.

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.

Symptoms of nicotine dependence by e-cigarette and cigarette use behavior and brand: A population-based, nationally representative cross-sectional study.

BACKGROUND: Many modern e-cigarette brands contain equivalent or higher nicotine levels than traditional cigarettes. OBJECTIVE: To examine differences in four nicotine dependence indicators (i.e., use within 30minutes of waking, cravings, needing to use, and frequent use) among adolescents (aged 12-17 years) with past 30-day (P30D) exclusive use of e-cigarettes, cigarettes, or dual use of both. METHODS: Data were from Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health (PATH) study (n=1060; N=2053,659). Multivariable logistic regression was performed to determine differences in indicators by P30D e-cigarette and cigarette use behavior (exclusive vs. dual use) and brand (e-cigarette use: JUUL vs. non-JUUL vs. Unknown). RESULTS: The odds of frequent use among adolescents with JUUL (AOR: 2.11; 95% CI=1.02-4.37) and non-JUUL (AOR: 2.12; 95% CI=0.95-4.77) use were similar and paralleled that for dual use (AOR: 3.50; 95% CI=1.46-8.43) but were stronger (JUUL only) than exclusive cigarette use. The odds of using within 30minutes of waking for adolescents with JUUL (AOR: 2.23; 95% CI=0.80-6.25) and non-JUUL (AOR:1.42; 95% CI=0.47-4.32) use were similar and paralleled that for both dual (AOR=3.00; 95% CI=1.01-8.88) and exclusive cigarette use. For adolescents who used unknown brands, the odds of all indicators paralleled exclusive cigarette use but were lower than JUUL, non-JUUL, and dual use. CONCLUSION: Compared to exclusive cigarette use, symptoms of nicotine dependence are similar for adolescents with exclusive e-cigarette use, irrespective of brand. Symptoms of nicotine dependence for JUUL and non-JUUL use parallel dual use. Tobacco regulation should consider these findings when assessing the abuse liability of e-cigarettes.

Food insecurity increases risk of depression and anxiety among women in Senegal living with diabetes and/or hypertension.

Food insecurity affects close to half the population of Senegal, West Africa, a country simultaneously affected by the ongoing global diabetes pandemic. Diabetes and food insecurity are associated with adverse mental health, yet research exploring the relationship between chronic physical illness, food insecurity, and mental illness in Senegal is currently lacking. The objective of this study was to investigate the association between food insecurity and depression and anxiety, separately, in Senegalese women living with diabetes and hypertension. Food insecurity was measured using the Household Food Insecurity Access Scale. Occurrence of depression and anxiety symptoms was assessed using the Modified Hopkins Symptoms Checklist Survey (HSCL-25). A sensitivity analysis examining the relationship between food insecurity and depression and anxiety was performed by comparing two previously validated cutoff values (1.75 and 2.25) on the HSCL-25. Most participants (83%) had some level of food insecurity. More than 80% of the sample were depressed or anxious using 1.75 as the cutoff, while 42 and 60% were depressed or anxious, respectively, using 2.25 as the cutoff. Food insecurity increased relative risk for depression (RRR: 1.40, 95% CI: 1.05-1.31, 1.75 as cutoff; RRR: 1.06, 95% CI: 0.99-1.14, 2.25 as cutoff) and anxiety (RRR: 1.17, 95% CI: 1.05-1.31, 1.75 as cutoff; RRR: 1.11, 95% CI: 1.04-1.19, 2.25 as cutoff). These findings demonstrate that among populations suffering from diabetes and hypertension, food insecurity is a modifiable risk factor for depression and anxiety and a potential intervention target in this setting.