Perceptions of the Addictiveness of Low-Nicotine Cigarettes Versus Typical Cigarettes and Exposure to Tobacco Industry-Sponsored Corrective Campaign.

BACKGROUND: In 2017, the U.S. Food and Drug Administration (FDA) announced a regulatory plan to reduce the nicotine content of cigarettes. This study examines the association of exposure to industry-sponsored corrective statements on perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes within the general US population. METHODS: The study comprised 4975 US adult respondents of the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3). Multinomial logistic regression models were used to examine associations between exposure to tobacco industry corrective messages and perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes. RESULTS: In the overall population, 4.1% reported that low-nicotine cigarettes were much more addictive than typical cigarettes, 67.5% said they were equally addictive, while 28.4% reported they were slightly/much less addictive. Adults exposed to industry-sponsored corrective messages had higher odds of perceiving low-nicotine cigarettes as equally addictive as typical cigarettes (aOR 1.57; 95% CI, 1.13-2.19) than those who saw no corrective messages. Those exposed to the corrective messages specifically about the addictiveness of smoking and nicotine had higher odds of perceiving low-nicotine cigarettes as equally addictive as typical cigarettes (aOR, 1.73; 95% CI, 1.07-2.81) compared to those who saw no corrective message. CONCLUSIONS: Our findings suggest that exposure to court-ordered tobacco industry corrective statements may have reinforced perceptions on the addictive potential of nicotine. However, study findings indicate a need for campaigns specifically tailored to address misperceptions observed in this study.

67.5% of US adults perceived low-nicotine cigarettes and typical cigarettes as being equally addictiveExposure to court-ordered corrective statements increased the odds of equal addictiveness perceptionExposure to corrective statements specifically tailored to addiction increased the odds of equal addictiveness perception.

Effect of an HPV Vaccination Multi-Level, Multi-Component Program on HPV Vaccination Initiation and Completion in a Pediatric Clinic Network.

Despite clear evidence of the public health benefits of the human papillomavirus (HPV) vaccine in preventing HPV-related cancers and genital warts, underutilization of HPV vaccination in the United States persists. Interventions targeting multi-level determinants of vaccination behavior are crucial for improving HPV vaccination rates. The study's purpose was to implement and evaluate the adapted Adolescent Vaccination Program (AVP), a clinic-based, multi-level, multi-component intervention aimed at increasing HPV vaccine initiation and completion rates in a five-clinic pediatric network in Bexar County, Texas. The adaptation process was guided by established frameworks and involved formative work with clinic stakeholders. The study utilized a quasi-experimental single group pre- and post- study design, with an external comparison data using the National Immunization Survey-Teen (NIS-Teen) datasets for the same time period to examine the AVP's effect on HPV vaccination initiation and completion. A series of interrupted time series analyses (ITSA) compared the clinic system patient outcomes (HPV vaccination initiation and completion rates) in the post-intervention to the general adolescent population (NIS-Teen). Of the 6438 patients (11-17 years) with clinic visits during the 3-year study period, HPV vaccination initiation rates increased from 64.7% to 80.2% (p < 0.05) and completion rates increased from 43.2% to 60.2% (p < 0.05). The AVP was effective across various demographic and economic subgroups, demonstrating its generalizability. ITSA findings indicated the AVP improved HPV vaccination initiation and completion rates in clinic settings and that AVP strategies facilitated resilience during the pandemic. The minimal adaptation required for implementation in a new clinic system underscores its feasibility and potential for widespread adoption.

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.

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.

Utilizing an Intersectional Approach to Examine Experiences of Hunger Among Adolescents During COVID-19: Considering Race/Ethnicity, Sexual Identity, and Employment Disparities in a Nationally Representative Sample.

PURPOSE: This study examines correlates of experiences of hunger among adolescents in the United States (U.S) by the intersectionality of race/ethnicity with sociodemographic characteristics (gender, sexual identity, and adolescent/parent job loss) with the aim of identifying subgroups most at risk for hunger during the COVID-19 pandemic. METHODS: This cross-sectional study uses nationally representative data from the Adolescent Behaviors and Experiences Survey (ABES) collected from January to June 2021. The analytic sample was high school students aged 14-17 with complete data (n = 6023). Descriptive statistics, bivariate, and multivariate logistic regression models were used to examine associations between sociodemographic factors and hunger (1-item measure) among adolescents during the pandemic for the analytic sample and stratified by race/ethnicity. RESULTS: The prevalence of hunger was 24.1% for the analytic sample and was highest among American Indian/Alaskan Native/Other Pacific Islander youth (37.2%), followed by non-Hispanic Black (31.8%) and Hispanic (28.4%) youth, and lowest among Non-Hispanic White youth (18.6%). In the analytic sample, there were significant differences in experiences of hunger by race/ethnicity, sexual identity, and adolescent/parent job loss during the pandemic (p < 0.05). When stratified by race/ethnicity, there were differential associations of hunger with sexual identity, and adolescent/parent job loss. CONCLUSIONS: These findings provide evidence of differential experiences of hunger during the pandemic among adolescents by sociodemographic factors. Results highlight the need for taking an intersectional approach when examining issues such as hunger. Future policies and programs should be mindful of factors associated with hunger and should prioritize using an equity-informed approach when engaging with multiply-marginalized adolescents.

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.

Exposure to school-based tobacco prevention interventions in low-income and middle-income countries and its association with psychosocial predictors of smoking among adolescents: a pooled cross-sectional analysis of Global Youth Tobacco Survey data from 38 countries.

OBJECTIVES: To describe the prevalence of school-based tobacco prevention programme exposure among adolescents in low-income and middle-income countries (LMICs) and its association with psychosocial predictors of smoking. DESIGN: Analysis of pooled cross-sectional data. SETTING: Global Youth Tobacco Survey (GYTS), conducted in 38 LMICs. PARTICIPANTS: This was a pooled analysis of data involving a total of 132 755 adolescent respondents to GYTS in 38 LMICs across Africa, Europe and Central/South America between 2014 and 2017. EXPOSURE AND OUTCOME MEASURES: The primary independent variable for this study was self-reported exposure to school-based tobacco prevention programmes in the past year. Five psychosocial determinants of smoking were explored as outcomes: perceived addictiveness of nicotine, perceived harm of secondhand smoke exposure, support for restricting cigarette smoking at public indoor locations, support for restricting cigarette smoking at public outdoor areas and self-reported prediction of enjoying cigarette smoking. Multivariable logistic regression models were used to examine the relationship between exposure to school-based tobacco prevention programmes and study outcomes, controlling for sociodemographic and smoking-related characteristics of respondents. RESULTS: Overall, 59.1% of adolescents in LMICs self-reported exposure to school-based tobacco prevention programmes. The country-specific prevalence of adolescent exposure to school-based tobacco interventions ranged from 24.9% in the Comoros to 99.3% in Turkmenistan. Exposure to school-based tobacco interventions was significantly associated with greater secondhand smoke harm perceptions (adjusted OR (AOR): 1.69; 95% CI: 1.69 to 1.70), perceptions of addictiveness (AOR: 1.37; 95% CI: 1.36 to 1.37) and supporting tobacco use restrictions indoors (AOR: 1.70; 95% CI: 1.69 to 1.70) and outdoors (AOR: 1.59; 95% CI: 1.59 to 1.60). Exposure to school-based tobacco interventions was associated with lower odds of anticipating enjoying cigarette smoking (AOR: 0.76; 95% CI: 0.76 to 0.76). CONCLUSION: Exposure to tobacco prevention programmes in schools is suboptimal in LMICs. Given the protective associations described in this study from school-based tobacco prevention programme exposure, it is imperative that national governments implement school-based programmes into ongoing tobacco control measures.

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.

Racial and Ethnic Disparities in Adolescent Combustible Tobacco Smoking From 2014 to 2020: Declines Are Lagging Among Non-Hispanic Black Youth.

INTRODUCTION: We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, and then compared these trends across racial and ethnic categories. We also tested the effect of e-cigarette use on these trends for all-youth and across racial and ethnic categories. AIMS AND METHODS: We pooled and analyzed seven years of National Youth Tobacco Survey data for n = 124 151 middle and high school students from 2014 to 2020. Weighted logistic regression analyses calculated the annual change in combustible tobacco smoking (ie cigarettes, cigars, and hookah) from 2014 to 2020. Stratified analyses examined linear trends for non-Hispanic White (NHW), NH-Black (NHB), Hispanic/Latino, and NH-Other (NHO) youth. All-models controlled for sex, grade level, and past 30-day e-cigarette use. RESULTS: Combustible tobacco smoking from 2014 to 2020 dropped by more than 50% for NHW youth, more than 40% for Latino and NHO youth, compared to just 16% among NHB youth. From 2014 to 2020, the odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p = .025), NHOs (15.4% per year; p = .01), and NHBs (5.1% per year; p < .001), adjusting for sex, grade, and e-cigarette use. Trends and disparities in trends by race and ethnicity were observed independent of e-cigarette use. CONCLUSIONS: Combustible tobacco smoking declined for all-youth but at significantly different rates across races and ethnicities. Notably, declines in combustible tobacco smoking are lagging among NHB youth. Interventions are critically needed to address this disparity. IMPLICATIONS: A direct, evidence-based intervention to reduce combustible tobacco smoking among NHB youth is critically needed. Such tobacco control initiatives should follow the Best Practices for Comprehensive Tobacco Control Framework, incorporating sustainable funding for school-based intervention, public health education, and adult cessation.

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.

Identifying disparities in suicidal thoughts and behaviors among US adolescents during the COVID-19 pandemic.

BACKGROUND: Suicidal thoughts and behaviors (STBs) became more common among racial and ethnic minorities and sexual and gender minorities (SGM) during the COVID-19 pandemic relative to White and non-SGM adolescents. This study examines associations between pandemic-related stressors and STBs among a nationally representative sample of adolescents to identify vulnerable subpopulations. METHODS: We analyzed data from 6769 high school students using the 2021 Adolescent Behaviors and Experiences Survey. Pandemic-related stressors were assessed via seven items related to negative experiences (e.g., parent job loss; food insecurity) during the COVID-19 pandemic. Logistic regression analyses estimated the association between pandemic-related stressors and four outcomes: (1) sadness/hopelessness; (2) suicidal ideation; (3) suicide planning; and (4) recent suicide attempt (i.e., past 12 months). Interactions were modeled by sex, race/ethnicity, and sexual identity. RESULTS: A greater number of pandemic-related stressors was associated with higher odds for sadness and hopelessness (aOR: 1.55; 95% CI:1.44-1.67), suicidal ideation (aOR: 1.48; 95% CI:1.39-1.57), suicide planning (aOR:1.47; 95% CI: 1.36-1.59), and recent suicide attempt (aOR: 1.64; 95% CI:1.42-1.88). Pandemic-related stressors were also more strongly associated with some types of STBs in males (relative to females) and SGM females (relative to heterosexual females). CONCLUSION: Study findings indicate that pandemic-related stressors are associated with STBs within the US adolescent population, particularly among male and SGM female adolescents. Researchers are encouraged to use this knowledge to ensure nationwide suicide prevention efforts adequately address inequities in suicide risk.

Volunteering, Health, and Well-being of Children and Adolescents in the United States.

This cross-sectional study examines whether there is an association between volunteering and well-being among children and adolescents across the United States.

Re: Impact of the "e-cigarette era" on cigarette smoking among youth: A population-level study.

Our original paper is: Harrell MB, Mantey DS, Baojiang C, Kelder SH, Barrington-Trimis J. Impact of the e-cigarette era on cigarette smoking among youth in the United States A population-level study. Preventive Medicine 2022; 164:107265). This is a response to correspondence received from Foxon and Juul Labs Inc. (JUUL) regarding our original paper.

Remote Versus In-Person Learning During COVID-19: Comparison of E-Cigarette Susceptibility and Ever Use Among a Diverse Cohort of 6th-Grade Students in Texas.

BACKGROUND: In response to SARS-CoV2 (COVID-19), school districts incorporated remote learning as a mitigation strategy. This study examines the association between classroom setting (ie, on-campus versus remote) and e-cigarette susceptibility or ever use among a sample of Texas public middle school students. METHODS: Data from n = 985 students enrolled in the CATCH My Breath E-Cigarette Prevention Program trial were collected in Spring 2021. Participants were 6th-grade students in urban Texas. E-cigarette use was examined using the "at-risk" definition described by FDA, indicating either: (1) susceptible never user; or (2) experimental ever use. A multilevel, logistic regression model examined the association between classroom setting and e-cigarette susceptibility/ever use. Covariates included sex, race/ethnicity, academic achievement, household e-cigarette use, perceived school connectedness, and school-level economic status. Models account for nesting within school district. Analyses stratified by race/ethnicity were also conducted. RESULTS: Overall, 36.3% of the sample were susceptible never users or ever e-cigarette users. The sample was comprised of 55.0% on-campus and 45.0% remote learners. On-campus learners had greater odds of reporting e-cigarette susceptibility or ever use (aOR: 1.45; p = .014). These findings were observed among Latino (aOR: 1.77; p = .026) and White (aOR: 2.10; p = .099) but not African American/Black (aOR: 0.86; p = .728) youth. CONCLUSIONS: On-campus learning during the Spring 2021 semester was associated with greater risk for e-cigarette susceptibility or ever use among a diverse sample of 6th-grade students. E-cigarette susceptibility and ever use is a risk factor for progression to long-term e-cigarette use in later adolescence. IMPLICATIONS: As school districts prepare to return to on-campus learning in 2022, a focused approach to e-cigarette prevention may be needed to prevent widespread e-cigarette initiation and continued use. Further, study findings demonstrate a need for further research on the school environment as a determinant of e-cigarette use.

Digital screen time and suicidality during high school: How important is cyberbullying? A mediation analysis using the youth risk behavioral surveillance survey, 2011-2019.

Elevated digital screen time (i.e., 2+ hours per day) is associated with suicidal ideations, planning, and attempts during adolescence. Recent studies suggest quality, rather than duration, of digital screen time is most impactful on adolescent mental health. We investigate the role of cyberbullying victimization on the relationship between elevated digital screen time and risk factors for completed suicide. We pooled five years of biennial Youth Risk Behavioral Surveillance (YRBS) survey data (2011-2019). Participants were n = 73,011 high school students in the United States (US). Elevated digital screen time reflected spending 3 h (or more) per day on leisure, digital media. Outcome variables were: (1) feeling sad/hopeless; (2) suicidal ideation; (3) suicidal planning; and (4) suicide attempt. Structural equation models (SEMs) tested the mediating effects of self-reported online bullying victimization (i.e., cyberbullying) on the effect of elevated digital screen time on suicidality. We controlled for age, sex, race/ethnicity, and survey year. Subsample analyses stratified by sex were also conducted. Overall, 40.5% of high school students reported elevated digital screen time and 15.4% reported cyberbullying. Cyberbullying mediated a substantial proportion of the relationship between digital screen time and feeling sad/hopeless (16%), suicidal ideation (18%), planned suicide attempt (18%), and past suicide attempt (26%), among high school students, controlling for covariates. Similar mediating effects were observed in models stratified by sex. Findings reinforce prior research demonstrating that the quality of leisure, digital media strongly influences the relationship between digital screen time and mental health during adolescence. Findings need replication via longitudinal designs.

Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study.

To examine and compare trends in past 30-day cigarette smoking among adolescents in the US from 2002 to 2019, before and after the onset of the "e-cigarette era" in 2014. Using National Youth Tobacco Survey (NYTS) data from 2002 to 2019, we modeled the prevalence of past 30-day cigarette smoking over time. A total of n = 274,551 (weighted N = 340,403,754) middle and high school students were included in this study. Interrupted time series analyses were used to examine changes in cigarette smoking over time and compare trends in cigarette smoking pre- and post-2014. Models were applied to the full sample and stratified by middle (6th-8th grade) and high school (9th-12th grade). The observed number of current adolescent cigarette smokers post-2014 was compared to the predicted number, given trends in cigarette smoking prevalence observed pre-2014. Among all students, past 30-day cigarette smoking declined by approximately 0.75% per year from 2002 to 2013 (p < 0.001). Following a significant drop in prevalence from 2013 to 2014 (1.64%; p < 0.001), the decline in past 30-day cigarette smoking slowed significantly to approximately 0.37% per year (p < 0.001), from 2015 to 2019. We estimate that the onset of the "e-cigarette era" in 2014 corresponded to over 1.66 million (95% CI: 1.57 m - 1.75 m) more past 30-day cigarette smokers from 2015 to 2019, cumulatively. The rate of decline in past 30-day cigarette smoking prevalence among adolescents observed since 2002 slowed with the onset of the "e-cigarette era" in 2014, providing evidence at a population-level for the "gateway effect."

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences.

INTRODUCTION: Parents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households. AIMS AND METHODS: We analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure. RESULTS: Approximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates. CONCLUSION: Odds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health. IMPLICATIONS: Health promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Perceived stress and E-cigarette use during emerging adulthood: A longitudinal examination of initiation, progression, and continuation.

E-cigarettes are the most commonly used tobacco product among youth and young adults in the US. Limited research has examined how stress impacts e-cigarette use among young people. We examine the longitudinal associations between perceived stress scale (PSS) score and e-cigarette use behaviors among a diverse cohort of emerging adults. We analyzed two waves of data collected in Fall 2019 (baseline) and Spring 2020 (6-month follow-up) of the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were classified into three mutually exclusive subsamples at baseline: (1) n = 1177 never e-cigarette users; (2) n = 806 ever but not current (past 30-day) e-cigarette users (i.e., ever users); and (3) n = 257 current (past 30-day) e-cigarette users. Three multivariate logistic regression models examined the relationship between PSS at baseline and: (1) initiation among never users; (2) progression to current use among ever users; and (3) continuation among current users, at 6-month follow-up. PSS scores were standardized using z-scores. Models controlled for race/ethnicity, sex, age, ever marijuana use, and ever use of other tobacco products. Mean age ranged from 18.6 to 19.4 among cohorts. Risk for e-cigarette progression among ever users (aOR: 1.30; 95%CI: 1.01-1.69) and e-cigarette continuation among current users (aOR: 1.33 (95%CI: 1.01-1.75) increased with each unit increase in PSS score at baseline. PSS at baseline was not associated with e-cigarette initiation among never users. PSS predicted greater risk of e-cigarette progression and continuation but not initiation among a diverse cohort of emerging adults. E-cigarette prevention and cessation strategies should consider perceived stress an important risk factor for e-cigarette use during emerging adulthood.