Past 30-day Cigarette Use Research Articles

IDENTIFYING PATTERNS OF TOBACCO USE IN MIDDLE AND HIGH SCHOOL STUDENTS IN THE DOMINICAN REPUBLIC: A LATENT CLASS ANALYSIS

The Dominican Republic (DR) has minimal national tobacco control strategies for youth tobacco use. This study seeks to understand how different patterns of tobacco use might occur in groups of Dominican youth. Methods: Using Latent Class Analyses, we analyzed the DR’s 2016 Global Youth Tobacco Survey dataset (N= 1,532), a nationally representative school-based survey. We examined two indicators (ever use, past 30-day use) of cigarettes, shishas, smokeless tobacco, and e-cigarettes. Multinomial logistic regression was used to analyze predictors of class membership. Results: Five subclasses of tobacco users were identified: non-users (58.44%), shisha experimenters (18.55%), poly-tobacco experimenters (10.66%), poly-tobacco users (8.57%), and smokeless tobacco with experimentation (3.79%). Compared to non-users, Shisha experimenters had higher odds of being male, having more spending money, and having observed someone smoking tobacco in their house. Poly-tobacco experimenters and Poly-tobacco users class had higher odds of having observed someone smoking tobacco in their house. Smokeless tobacco, with experimentation of other forms of tobacco, had higher odds of having observed someone smoking tobacco in their house and outside. Discussion: Our findings indicate that most tobacco users belong to the shisha experimenters or were multiple product experimenters/user classes. This suggests that tobacco control strategies should focus on multiple products and aim prevention efforts toward younger male students.

Sociodemographic inequalities in cigarette, smokeless tobacco, waterpipe tobacco, and electronic cigarette use among adolescents aged 12-16 years in 114 countries: A cross-sectional analysis.

The majority of users of tobacco and nicotine products start using them in adolescence. In order to keep equity considerations at the forefront of tobacco control, it is crucial to assess whether inequalities in prevalence of tobacco and nicotine use exist among adolescents globally. We conducted a secondary analysis of Global Youth Tobacco Survey (GYTS) data from 538644 school-based adolescents (79.3% aged 13-15 years) in 114 countries (2013-2019). Data were collected on current (past 30-day) use of cigarettes, smokeless tobacco, waterpipe tobacco and electronic cigarettes. We used weighted Poisson regression models adjusted for sex, pocket money, and age to assess differences in prevalence of current use between boys and girls, and between students with high versus low pocket money. Although there was substantial regional variation, in most countries boys were statistically significantly more likely to report current use of all assessed products (ranging from 50.0% of countries for waterpipe tobacco to 73.3% of countries for electronic cigarettes). Inequalities by sex were less pronounced in Europe compared to other regions. Inequalities by pocket money were less consistent; students with more pocket money were more likely to report current use of cigarettes (vs those with less pocket money) in 61.8% of the countries, but more likely to report current use of smokeless tobacco in only 18.3% of countries. Globally, boys and adolescents with more pocket money are generally more likely to use a range of tobacco and nicotine products. However, these patterns are not universal and local variations should be taken into consideration to design effective and equitable tobacco control policies.

Secondhand cannabis smoke exposure and respiratory symptoms among adults living in a state with legalized medical cannabis with limited smoke-free protections

BackgroundLittle is known about the demographic and health correlates of secondhand cannabis smoke (SHCS) exposure, despite increased availability and use of cannabis across the U.S. This study examined the prevalence and correlates of SHCS exposure in a sample of N=5,410 adults living in Oklahoma and the association of SHCS exposure with self-reported respiratory problems. MethodsData were from a repeated cross-sectional online survey of adults ages 18 and older who completed measurements of past 30-day SHCS exposure in the respondent’s home, in a vehicle, and/or in an indoor setting; harm perceptions of SHCS exposure; frequency of current respiratory symptoms; past 30-day use of cannabis, alcohol, and cigarettes ResultsAlmost half (42 %) reported past 30-day SHCS exposure. In bivariate tests, those exposed were male, younger, non-Hispanic (NH) black or Hispanic, reported lower educational and financial attainment, had lower harm perceptions of SHCS exposure, endorsed more respiratory symptoms, and reported past 30-day cannabis and cigarette use (all p’s < 0.01). In an adjusted regression model, young adulthood (ages 18–24), NH black race (vs NH White), and past 30-day cigarette smoking and cannabis use emerged as the strongest correlates of SHCS exposure. In interaction models, respiratory symptoms were highest among those reporting past 30-day SHCS exposure and past 30-day cannabis use. ConclusionSHCS exposure is common and associated with more frequent respiratory symptoms, particularly among cannabis users. Those exposed were more socially and economically vulnerable.

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

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. 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. 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. Cigarette/e-cigarette use, as well as impulsivity and anxiety, directly increase the risk of suicidal ideation. 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.

Depression screening outcomes among adolescents, young adults, and adults reporting past 30-day tobacco and cannabis use

BackgroundFew studies examine the relationship between depression and use of specific tobacco and/or cannabis products among adolescents, young adults, and adults. We determined whether the odds of depression are greater among those who used specific tobacco and/or cannabis products and among co-users of tobacco and cannabis. MethodCross-sectional online survey of a national convenience sample of 13–40-year-olds (N = 6,038). The survey included depression screening and past 30-day use of specific tobacco and cannabis products (cigarettes; e-cigarettes, vaped cannabis, little cigars, cigarillos, cigars, hookah, chewing tobacco, smoked cannabis, edible cannabis, blunts). Analyses correspond to the total sample, and 13–17-, 18–24-, and 25–40-year-olds. ResultsAmong 5,281 individuals who responded to the depression screener and nine product use questions, 1,803 (34.1 %) reported co-use of at least one tobacco product and one cannabis product in the past 30 days. Past 30-day co-use was associated with higher likelihood of screening positive for depression compared to past 30-day use of tobacco-only (aOR = 1.32, 1.06–1.65; 0.006) or cannabis-only (aOR = 1.94, 1.28–2.94; <0.001). Screening positive for depression was more likely among those who reported past 30-day use of e-cigarettes (aOR = 1.56; 1.35–1.80; <0.001), cigarettes (aOR = 1.24, 1.04–1.48; 0.016), chewed tobacco (aOR = 1.91, 1.51–2.42; <0.001), and blunts (aOR = 1.22, 1.00–1.48; 0.053) compared to those who did not report past 30-day use of these products. Among the 2,223 individuals who screened positive for depression, the most used two-product combination was nicotine e-cigarettes and smoked cannabis (614 individuals, 27.6 %). ConclusionsScreening positive for depression was more likely among past 30-day co-users versus past 30-day users of tobacco-only or cannabis-only. Findings suggest that prevention programs for depression and substance use address tobacco and cannabis co-use.

Noticing Voluntary E-Cigarette Warning Labels and Associations With Harm Perceptions and Use Intentions: A Baseline Cross-Sectional Analysis of Wave 4 of the Population Assessment of Tobacco and Health Study Prior to the Food and Drug Administration Mandate.

To examine the effect of e-cigarette warning labels (EWLs) prior to the August 2018 FDA-warning label mandate to establish a baseline for future research. Cross-sectional survey. United States. A cohort of adult participants in the Population Assessment of Tobacco and Health (PATH) study (n = 30,004) at Wave 4 (Dec 2016-Jan 2018). Correlates (e.g., sociodemographics, substance use, social influence, cigarette warnings, and mental health) of noticing EWLs in the past 30-days (noticed vs did not notice), perceived harm of e-cigarettes/nicotine (from 1 = not at all harmful to 5 = extremely harmful), relative harm of e-cigarettes (from 1 = less harmful to 3 = more harmful than cigarettes), intention to quit (yes/no) and intention to try e-cigarettes (from 1 = definitely not to 4 = definitely yes). The prevalence of noticing EWLs was 22.1%. Those who currently use electronic nicotine products, established and experimentally, were more likely to notice EWLs relative to never users (aOR = 3.55; 95% CI: 2.96-4.25; P < .001 and aOR = 2.42; 95% CI: 1.88-3.10; P < .001, respectively). Those with past 30-day alcohol and cigarette use were less likely to notice EWLs (aOR = .27; 95% CI: .24-.31 and aOR = .91; 95% CI: .83-.99; respectively). Those who noticed cigarette warnings were more likely to notice EWLs (aOR = 12.00; 95% CI: 10.46-13.77; P < .001). Among those who noticed EWLs, there were higher odds of perceiving e-cigarettes to be equally or more harmful than cigarettes (aOR = 1.15; 95% CI: 1.02-1.30), but no association was found between noticing EWLs and perceived harm of e-cigarettes/nicotine or use intentions. Noticing voluntary EWLs was not associated with increased perceived harm of e-cigarettes and nicotine harm, or e-cigarette use intentions. Future research is warranted to examine the effect of the FDA mandated EWLs.

Effects of cannabis use on cigarette smoking cessation in LGBTQ+ individuals.

Sexual and gender minority individuals are more likely to use tobacco and cannabis and have lower cigarette cessation. This study examined cannabis use associations with daily cigarettes smoked in sexual and gender minority individuals before and during a quit attempt. Participants included dual smoking same-sex/gender couples from California that were willing to make a quit attempt (individual n = 205, 68.3% female sex). Participants reported baseline past 30-day cannabis use and number of cigarettes smoked and cannabis use (yes/no) during 35 nightly surveys. Individuals with current cannabis use reported baseline cannabis use and/or nightly survey cannabis use. Multilevel linear models predicted number of cigarettes smoked by cannabis use. Number of cigarettes decreased from before to during a quit attempt, but this decrease was smaller in individuals with current cannabis use compared to no current cannabis use (p < .001). In individuals with current cannabis use, number of cigarettes smoked was greater on days with cannabis use (p < .001). Furthermore, cannabis use that day increased overall number of cigarettes in those with relatively high overall cannabis use but only during a quit attempt in those with relatively low cannabis use (Within-Subject Cannabis Use × Between-Subject Cannabis Use × Quit Attempt interaction; p < .001). Sexual and gender minority individuals with cannabis and cigarette use may have a harder time quitting smoking than those who do not use cannabis. For those with cannabis use, guidance on not using cannabis during a quit attempt may improve cigarette cessation outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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

ObjectiveTo 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. MethodsSecondary 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). ResultsThere 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. ConclusionCompared 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.

Factors Associated With Successful E-Cigarette Cessation Among a Convenience Sample of Adult Users

Background: A growing body of literature suggests that many people who use e-cigarettes become dependent and have difficulty quitting. Most people who use e-cigarettes have interest in quitting, yet there is currently a lack of evidence to inform interventions for e-cigarette cessation. Objective: The purpose of this study was to identify factors associated with successful e-cigarette quit attempts among a large sample of people who use e-cigarettes. Methods: Participants (n=586) were people who use e-cigarettes who reported at least one lifetime attempt to quit their e-cigarette use. Adjusted logistic regression models were performed to examine differences in e-cigarette use characteristics and quit methods between people who currently use e-cigarettes and who quit e-cigarettes. Results: Most participants were people who currently use e-cigarettes and only 27.5% reported successfully quitting. Most participants (90.6%) used e-cigarettes that contained nicotine, and over half (54.0%) used closed-system e-cigarette devices with replaceable pre-filled pods or cartridges. The quit method most commonly used overall (63.1%) and for people who quit e-cigarettes (70.8%) was cold turkey. Past 30-day cigarette use and past 30-day other tobacco use was significantly associated with reduced odds of quitting, and there were no e-cigarette characteristics significantly associated with successful cessation. Nicotine replacement therapy was the only e-cigarette cessation method that was significantly associated with increased odds of quitting after adjusting for past 30-day cigarette and other tobacco use. Conclusions: These results suggests that cigarette use, other tobacco use, and quit method used may significantly influence the likelihood of e-cigarette cessation. Future research is needed to determine the effectiveness of interventions for e-cigarette cessation using nicotine replacement therapy.

Evolving Disparities in Cannabis Use Among Youth by Demographics and Tobacco and Alcohol Use in the U.S.: 2013–2021

IntroductionThe current study investigated the prevalence of past 30-day cannabis use among US youth by cigarette use, alcohol use, demographics and state-of-residence cannabis legal status in 2021, and examined whether changes in prevalence were modified by these factors from 2013 to 2021. MethodsData were drawn from the 24 states that collected cannabis use data participating in the Youth Risk Behavior Surveillance System (YRBSS) from 2013-2021. Logistic regression analyses estimated past 30-day cannabis prevalence in 2021 and produced adjusted odds ratios (AOR) by current cigarette, alcohol, state-of-residence cannabis legal status. The same method was used with year as the exposure, adjusting for sex, race and ethnicity, to assess trends in prevalence from 2013 to 2021. ResultsIn 2021, cannabis use was more common among female (16.75% vs. 13.83%, AOR=1.26 (95% CI: 1.16, 1.37)), Non-Hispanic (NH) Black and Hispanic youth relative to NH White youth (17.19%, 16.14% vs. 14.60%; AOR=1.25 (95% CI: 1.12, 1.39); AOR=1.16 (95% CI: 1.04, 1.29)), respectively. Cannabis use was much more common among youth who reported any past 30-day cigarette or alcohol use (44.90% vs. 6.48%, AOR=11.80 (95% CI: 10.57, 13.18)). Declines in cannabis use were observed independent of state-level cannabis law from 2013 to 2021 and cannabis use prevalence did not differ significantly by state-of-residence cannabis legal status among the 24 participating states in 2021. ConclusionsPublic health officials should carefully consider the potential differential impact of expanding commercialization of cannabis and US state government endorsement of cannabis as a “wellness” product on youth, especially with regard to co-use with tobacco and alcohol. National and state-level public health education on cannabis use and youth-oriented prevention of cannabis uptake are long overdue.

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

BackgroundMany modern e-cigarette brands contain equivalent or higher nicotine levels than traditional cigarettes. ObjectiveTo 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. MethodsData 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). ResultsThe 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. ConclusionCompared 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.

Chronic disease as a risk factor for cigarette and e-cigarette use from young adulthood to adulthood

Chronic disease prevalence in young adults is increasing with 15–20 % reporting 1 or more chronic diseases. This study examined cross-sectional and prospective relationships between chronic disease and e-cigarette/cigarette use from young adulthood to adulthood utilizing the U.S.- based National Longitudinal Study of Adolescent to Adult Health (Add Health). Add Health Study wave 3 (2001–2002; ages 18–26), wave 4 (2008; ages 24–34), and wave 5 (2016–2018; ages 33–44) were used. Past 30-day cigarette use at waves 3–5 and past 30-day e-cigarette use at wave 5 were assessed. Two measures of chronic disease were used: asthma (yes/no) and non-asthmatic chronic disease (yes/no) composed of 7 additional chronic diseases (diabetes, migraine, heart problem, hepatitis B/C, high blood pressure, epilepsy, and cancer). Weighted multilevel logistic regression (controlling for age, race/ethnicity, gender, and education) was used to assess cross-sectional associations at wave 3, and then prospective associations of wave 3 chronic disease (asthma and non-asthmatic) with waves 4 and 5 cigarette and wave 5 e-cigarette use. Logistic regressions showed no significant cross-sectional or prospective relationships between asthma and cigarette and e-cigarette use. However, wave 3 non-asthmatic chronic disease was significantly associated with wave 4 cigarette use (aOR 1.38, p <.001, 95 % CI: 1.15, 1.65) and with wave 5 cigarette use (aOR 1.49, p <.001, 95 % CI: 1.21, 1.84) but not e-cigarette use. The association between chronic disease in young adulthood and tobacco use in adulthood differed by type of chronic disease and tobacco product, indicating the need for targeted interventions.

Longitudinal patterns of cannabis and tobacco co-administration and concurrent use among young adult college students

IntroductionCo-use, including concurrent use or co-administration, of cannabis and tobacco is most prevalent in young adulthood and associated with worse health outcomes than use of either substance alone. This study examined latent classes of tobacco and cannabis concurrent use and co-administration, and transitions between classes from 2016 to 2019, among a sample of young adult college students in Texas. MethodsParticipants included 4,448 young adults (64.2% female, 64.7% non-white, mean age = 20.5) in a longitudinal cohort study. Measures included past 30-day use of cigarettes. hookah, cigars, ENDS, cannabis, and cannabis and tobacco co-administration. Latent Markov models were used to estimate latent class membership and transitions between classes from 2016 to 2017 and 2017 to 2019. ResultsFour latent classes emerged: non-use (58% of students) characterized by low/no probability of any use; general use (19%) characterized by some level of use of all behaviors; blunt and cannabis use class (13%) characterized by high probabilities of cannabis use and co-administration with blunts; and concurrent and co-administration use (10%) with high probabilities of cigarette, cannabis, blunt, and spliff use. Most students remained in the same latent class from 2016 to 2019. ConclusionsWhile most students reported low/no tobacco and cannabis co-use, those who used cannabis and/or tobacco remained in their use classes over the course of the study (2016 to 2019). Public health advocates on college campuses should consider prevention and cessation programs that incorporate the constellation of behaviors related to cannabis and tobacco co-use and educate students about the health consequences of co-use.

Prospective study of e-cigarette use and respiratory symptoms in adolescents and young adults

RationaleElectronic cigarette (e-cigarette) aerosol contains volatile aldehydes, including flavourings and oxidant metals with known pulmonary toxicity.ObjectivesTo evaluate the associations of e-cigarette use with symptoms of wheeze, bronchitic symptoms and shortness...

Depressive symptoms predict trajectories of electronic delivery nicotine systems, cigarette, and cannabis use across 4.5 years among college students

BackgroundThis study examined the role of depressive symptoms on trajectories of electronic nicotine delivery systems (ENDS), cigarette, and cannabis use across 4.5 years in a sample of college students aged 18–19 at the initial study wave. MethodsParticipants were 2,264 students enrolled in one of 24 Texas colleges that participated in a multi-wave study between 2014 and 2019. Latent growth mixture models were fit to identify longitudinal trajectories for past 30-day ENDS, cigarette, and cannabis use over a 4.5-year period. Class membership was regressed on baseline depressive symptoms in multinomial regression models. ResultsFour trajectory classes were identified for each product: abstainer/minimal, decreasing, increasing, and high. Depressive symptoms were associated with a greater likelihood of belonging to the decreasing, increasing, and high trajectory classes relative to the abstainer/minimal class for all products, with the exception of the increasing ENDS class and the decreasing cannabis class. DiscussionThe findings demonstrate that there is considerable similarity across trajectories of ENDS, cigarette, and cannabis use during traditional collegiate years. Furthermore, depressive symptoms increased the likelihood of belonging to substance using trajectory classes for all products.

Racial and Ethnic Differences in Initiation of Menthol Tobacco Smoking and Subsequent Tobacco Use in the Population Assessment of Tobacco and Health Study, Waves 1-4 (2013-2018).

Certain subpopulations in the United States are highly vulnerable to tobacco initiation and addiction, and elimination of disparities among those groups is crucial to reducing the burden of tobacco use. This study evaluated the racial and ethnic differences in smoking initiation of menthol flavored cigarettes and cigars among never-users, and in subsequent tobacco use among new users of menthol-flavored products, using longitudinal data from waves 1-4 of the Population Assessment of Tobacco and Health Study. The outcomes of interest were new use of menthol-flavored products, and subsequent past 30-day and past 12-month cigarette and cigar smoking, irrespective of flavors, after initiation. The percentages of new users of menthol-flavored cigarettes and cigars at waves 2-4 were disproportionately higher in non-Hispanic black and Hispanic than in non-Hispanic white people. Adjusting for age and sex, black people who first used any menthol cigars had higher risk of past 30-day use of the same cigar category at the subsequent wave (adjusted risk ratio, aRR 1.48; 95% confidence interval [CI] 1.11 to 1.96) and past 12 months (aRR 1.74; 95% CI 1.55 to 2.63) compared to non-Hispanic white smokers. Black people who first used menthol-flavored cigarettes had marginally higher risk of subsequent past 30-day cigarette use (aRR 1.44; 95% CI 0.99 to 2.10) compared with their non-Hispanic white counterparts. This study shows that racial and ethnic differences exist in both initiation of menthol-flavored tobacco products and product-specific subsequent use after first using menthol-flavored products; black and Hispanic people have higher rates of initiation; black people also have higher rates of subsequent use. Use of menthol flavors in tobacco products is confirmed to be a contributor to large disparities in tobacco use; black and Hispanic people are more likely to maintain smoking through use of mentholated products than non-Hispanic white people. The findings suggest educational and regulatory actions on menthol-flavored tobacco products including restricting the selective marketing to vulnerable communities and banning characterizing flavors in cigarettes and cigars may reduce tobacco-related disparities and inform the Food And Drug Administration's evidence-based rulemaking process.

Parental influences on tobacco use and likelihood of future use among sexual minority young adult men and women in the United States.

Limited research has examined mechanisms, including parenting behaviors, contributing to tobacco use disparities among sexual minority young adults (SMYAs). Participants were 644 young adult (ages 18-29; 36.5% racial/ethnic minority) women (N = 416; 44.7% bisexual, 7.2% lesbian, 48.1% heterosexual) and men (N = 288; 11.0% bisexual, 13.2% gay, 75.9% heterosexual). Bivariate analyses examined differences among sex-by-sexual identity subgroups in perceived parenting (psychological control, behavioral control, knowledge, autonomy support, warmth, communication), past 30-day cigarette, e-cigarette, and cigar use, and likelihood of future use. Multivariable regression examined associations of sexual identity subgroup and parenting behaviors to tobacco use outcomes among women and men. Bisexual (vs. heterosexual) women reported greater parental psychological control and less autonomy support, warmth, and communication. Bisexual (vs. heterosexual) women had greater odds of past 30-day cigarette and cigar use and greater likelihood of future cigarette and e-cigarette use, and parenting behaviors were associated with past 30-day cigarette (knowledge, warmth), e-cigarette (psychological control, autonomy support, warmth), and cigar use (behavioral control, warmth) and likelihood of future cigarette (psychological control, warmth) and e-cigarette use (autonomy support, communication). Gay (vs. heterosexual) men reported greater parental behavioral control, less knowledge, autonomy support, warmth, and communication. Sexual identity and parenting behaviors were largely not associated with tobacco use among men. Findings highlight the role of parenting behaviors as potential mechanisms contributing to tobacco use disparities among SMYA women. Tobacco prevention/cessation programs should be tailored toward specific SMYA subgroups, combinations of parenting behaviors, and patterns of tobacco use.

Prevalence of Nicotine and Tobacco Product Use by Sexual Identity, Gender Identity, and Sex Assigned at Birth Among Emerging Adult Tobacco Users in California, United States.

Sexual and gender minority (SGM) nicotine and tobacco use disparities are well-documented among youth and young adults (YYA), and despite decades of prevention efforts, these disparities stubbornly persist. To better understand tobacco use disparities and craft tailored interventions, tobacco use patterns must be assessed in a contemporary sample of YYA across lines of sexual and gender identity, sex assigned at birth, and tobacco product types. Data were from an online survey of a diverse sample of emerging adult tobacco users (ages 18-29; N = 1491) in California, United States (2020-2021). Participants were recruited from various online and in-person locations. Bivariate and adjusted models assessed differences in four nicotine and tobacco use outcomes (past 30-day use of cigarettes, e-cigarettes, other tobacco products, and multiple tobacco product types) across six groups: Cisgender heterosexual males, cisgender heterosexual females, cisgender sexual minority (SM) males, cisgender SM females, transfeminine participants, and transmasculine participants. Compared to cisgender heterosexual males, both transfeminine (OR = 2.25, 95% confidence intervals (CI) = 1.29 to 4.05) and transmasculine (OR = 1.85, 95% CI = 1.32 to 2.80) participants had higher odds of using cigarettes. Few differences were noted between groups in use of e-cigarettes. Cisgender heterosexual males had higher odds of other tobacco product use, compared to most other groups (eg, cisgender SM males: OR = 0.57, 95% CI = 0.37 to 0.87). Transmasculine participants had higher odds of multiple product use, compared to cisgender heterosexual females. Among multiple product users, transfeminine participants had the highest prevalence of using all three individual product types (35.6%). Results highlight the need for different tobacco control approaches across sexual and gender identities, sex assigned at birth, and nicotine and tobacco products. SGM nicotine and tobacco use disparities remain entrenched, despite concerted efforts to reduce them. The SGM population is heterogeneous and different SGM subgroups may have different needs. This study assessed, among young adult nicotine and tobacco users in California, U.S. patterns of tobacco use across sexual and gender identities, sex assigned at birth, as well as specific tobacco products used-a necessity to craft tailored tobacco control measures. We found patterns of nicotine and tobacco product use across several of these characteristics, highlighting how different prevention and cessation interventions may be needed to meaningfully address SGM nicotine and tobacco use disparities.

The Theory of Planned Behavior and Adolescent Marijuana Use: Examining the Moderating Effects of Cigarette and E-cigarette Co-use

Background: This study examines the moderating effects of cigarette and e-cigarette co-use on the relationship between adolescent intention to use and marijuana use using the Theory of Planned Behavior (TPB). Method: A total of 217,276 adolescents in grades 6, 8, 10, and 12 were assessed using data from a large statewide surveillance dataset of youth self-report of substance use and related risk and protective factors. Structural Equation Models consisting of latent variables representing behavioral, normative, and control beliefs were regressed on intention to use and past 30-day marijuana use. Tests of moderation of the pathways between intention and marijuana use were used to test hypotheses, and grade level, gender, and race were included as covariates. Results: The overall model fit of the TPB predicting adolescent marijuana use provided good fit to the data (χ2(127) = 58042, p < 0.01, CFI = 0.95, TLI = 0.94, RMSEA = 0.04, SRMR = 0.03). After controlling for features of the model that may serve as common liability to substance use, past 30-day cigarette use moderated the relationship between intention and marijuana use (β = 0.46, p <.001). A stronger moderating effect was observed with past 30-day e-cigarette use (β = 0.63, p <.001). Past 12-month nicotine vaping (β = 0.44, p <.001) and flavor-only vaping (β = 0.30, p <.001) strengthened the relationship between intention and marijuana use. Conclusion: Adolescent marijuana use prevention may be enhanced by targeting general inhalation behaviors and restricting access to cigarettes, e-cigarettes, and flavor-only vaping products.

State-Level Policies and Health Outcomes in U.S. Transgender Adolescents: Findings from the 2019 Youth Risk Behavior Survey.

Purpose: Policies have been shown to bear a considerable influence on transgender health. The few studies that have examined policy-related health outcomes in adolescent transgender populations have rarely included policies that directly affect them. Our study explores associations between four state-level policies and six health outcomes in a sample of transgender adolescents. Methods: Our analytic sample consisted of adolescents residing in 14 states that used the 2019 Youth Risk Behavior Survey's optional gender identity question in their surveys (n = 107,558). Chi-square analyses were performed to examine differences between transgender and cisgender adolescents in demographic variables and suicidal ideation, depression status, cigarette use, binge drinking, grades in school, and perceptions of school safety. Multivariable logistic regression models were run for transgender adolescents only to examine associations between policies and health outcomes, adjusting for demographics. Results: Transgender adolescents comprised 1.7% (n = 1790) of our sample. Compared with cisgender adolescents, transgender adolescents were more likely to experience adverse health outcomes in chi-square analyses. Multivariable models indicated that transgender adolescents who lived in a state that had explicit transgender guidance in their antidiscrimination laws were less likely to experience depressive symptoms, and those who lived in a state with positive or neutral athlete guidance were less likely to report past 30-day cigarette use. Conclusion: Our study is one of the first to show protective associations between affirming transgender-specific policies and health outcomes in transgender adolescents. Findings could have important implications for policymakers and school administrators.