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.

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.

Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program.

INTRODUCTION: Novel prevention programs are developed to address the increase in e-cigarette use (vaping) among children. However, it remains paramount to test their feasibility in rural settings. This pilot study implemented and evaluated the feasibility and outcomes of two innovative programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida. METHODS: We conducted four focus groups with youth aged 11-17 recruited from 4-H rural clubs in Florida. In a subsequent randomized trial, we recruited 82 youth participants and assigned them to one of three arms: CATCH My Breath, smokeSCREEN, or control. CATCH My Breath and smokeSCREEN participants attended online group intervention sessions while the control group received educational material. Pre- and post-surveys were administered to all participants to assess knowledge, susceptibility, perceived positive outcomes and risk perceptions related to tobacco and e-cigarette use. Other feasibility parameters were also assessed. RESULTS: Focus group discussions provided insights about feasibility and informed the implementation of both interventions in terms of delivery format, scheduling of sessions and incentives. After the intervention, CATCH My Breath participants significantly improved their general tobacco-related knowledge (post-pre = 16.21-12.92 = 3.3, p <.01) and risk perceptions towards other flavored tobacco products (post-pre = 19.29-17.71 = 1.6, p <.05). smokeSCREEN participants significantly improved their general tobacco knowledge (post-pre = 18.77-13.77 = 5.0, p <.01), knowledge about e-cigarettes (post-pre = 9.08-6.31 = 2.8, p <.01) and risk perception towards e-cigarettes (post-pre = 24.69-21.92 = 2.8, p <.05). CONCLUSIONS: This study demonstrated feasibility of delivering the interventions via participant engagement, participants' willingness to be randomized, assessment of outcome measures, and exploration of different recruitment methods. Despite the potential positive influence of CATCH My Breath and smokeSCREEN on youth participants, further evaluation with larger samples is needed.

Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach.

INTRODUCTION: Tobacco-related content is prevalent on social media, yet many methods of measuring exposure are inadequate due to the personalized nature of online marketing. The purpose of this paper is to examine the association between exposure to pro-tobacco messages (both industry-sponsored and user-generated) and the use of tobacco products, as reported via ecological momentary assessment (EMA). METHODS: Young adults (n = 175) were instructed to record all sightings of marketing (both in-person and online) related to tobacco for 28 days. Tobacco product use and recall of message encounters were assessed daily using app-initiated EMA. RESULTS: Participants who reported exposure to tobacco messages were significantly more likely to report using tobacco, adjusting for gender, age, race/ethnicity, baseline use of any tobacco product, and having friends who use tobacco and e-cigarettes (p <.001). For each industry-sponsored message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.77 (95 % CI = 1.41, 2.23). For each user-generated message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.52 (95 % CI = 1.27, 1.83). DISCUSSION: To our knowledge, this is the first study to specifically examine the association between exposure to user-generated messages and daily tobacco use. The findings suggests that there is a unique element to user-generated messages that distinguishes them from both traditional marketing and from simple peer influence.

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.

Antibody Duration After Infection From SARS-CoV-2 in the Texas Coronavirus Antibody Response Survey.

Understanding the duration of antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that causes COVID-19 is important to controlling the current pandemic. Participants from the Texas Coronavirus Antibody Response Survey (Texas CARES) with at least 1 nucleocapsid protein antibody test were selected for a longitudinal analysis of antibody duration. A linear mixed model was fit to data from participants (n = 4553) with 1 to 3 antibody tests over 11 months (1 October 2020 to 16 September 2021), and models fit showed that expected antibody response after COVID-19 infection robustly increases for 100 days postinfection, and predicts individuals may remain antibody positive from natural infection beyond 500 days depending on age, body mass index, smoking or vaping use, and disease severity (hospitalized or not; symptomatic or not).

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.

Multiple tobacco product use among cigarette smokers: a longitudinal examination of menthol and non-menthol smokers during young adulthood.

BACKGROUND: Multiple tobacco product (MTP) use is common among young adults. Most MTP users are combustible cigarette smokers that use one or more other tobacco products. This study aims to explore menthol as a risk factor for MTP use among a cohort of young adult cigarette smokers. METHODS: Participants were 18-29 years cigarette smokers at 24 Texas colleges in a 6-wave study. Participants (n=4700 observations) were classified as: single product users (ie, exclusive cigarette smoking); dual product users and poly product users. A multilevel, ordered logistic regression model was used to examine the association between menthol cigarette smoking and MTP use. Two longitudinal, multilevel, multinomial logistic regressions were used to examine the relationship between menthol cigarette smoking and number of tobacco products used. RESULTS: Overall, 40.7% of the sample were single product users, 33.7% were dual product users and 25.6% were poly product users. Menthol was associated with 1.28 greater odds of MTP use. Further, menthol was associated with 1.19 greater risk of dual and 1.40 greater risk of poly product use, relative to single product use. Lastly, menthol cigarette smoking was associated with 1.18 greater risk of poly product use, relative to dual product use. CONCLUSIONS: There was a gradient relationship between menthol cigarette smoking and number of tobacco products used among young adult cigarette smokers. Findings provide for greater regulatory and programmatic efforts to reduce the use of menthol cigarettes.

School Connectedness and E-cigarette Susceptibility/ Ever Use in Texas 6th-Grade Students.

Objectives: We examined the association between school connectedness (SC) and e-cigarette susceptibility/ ever use in a diverse sample of Texas 6th graders, with a secondary aim to explore the association stratified by gender and classroom setting (in-person vs remote). Methods: A cross-sectional analysis was conducted of CATCH My Breath baseline data, representing 985 6th -graders from 21 public schools. SC was based on National Longitudinal Study of Adolescent Health measures; e-cigarette susceptibility/ever use was based on the FDA's definition of "at-risk" for long-term use. We conducted multi-level logistic regression analyses.Results: Over half the sample was Hispanic (57.6%), with 36.2% reporting susceptibility/ever use. Lower SC was associated with increased odds of e-cigarette susceptibility/ever use (low SC: aOR: 5.17, 95% CI: 3.54, 7.55; medium SC: aOR: 2.15, 95% CI: 1.44, 2.91; high SC= referent). The association held across gender groups, with low SC girls reporting the highest odds of susceptibility/ever use (aOR: 7.83, 95% CI: 4.51, 13.61). Low SC in- person and remote students were 6 and 4 times, respectively, more likely to report susceptibility/ever use as high SC students (p<.05). Conclusion: SC protected against e-cigarette susceptibility/ever use in this sample.

Use frequency and symptoms of nicotine dependence among adolescent E-cigarette users: Comparison of JUUL and Non-JUUL users.

OBJECTIVE: Nicotine exposure among adolescent e-cigarette users remains a public health concern. JUUL, a popular e-cigarette brand among youth, is particularly alarming given the high nicotine delivery (59 mg/mL). This study compares e-cigarette use frequency and symptoms of nicotine dependence among adolescent JUUL and non-JUUL users. METHODS: We analyzed data from the 2020 National Youth Tobacco Survey. Participants were n = 1713 U.S. middle and high school students who reported past 30-day e-cigarette use. We compared adolescent e-cigarette users who reported JUUL use to those who did not. Outcomes were: (1) symptoms of nicotine dependence (i.e. nicotine cravings; use within 30 min of waking); (2) past 30-day e-cigarette use frequency, categorized as 1-5 days, 6-19 days, and 20-30 days. Covariates were sex, race/ethnicity, other tobacco product use, primary e-cigarette device type (i.e., disposable; pod; mod/tank). RESULTS: Overall, 49.5% of adolescent e-cigarette users reported using JUUL in the past 30 days, 40.1% reported symptoms of nicotine dependence, and 36.2% reported using an e-cigarette on 20-30 days. JUUL users were 1.77 (95% CI: 1.36-2.31) times as likely to report symptoms of nicotine dependence and 1.43 (95% CI: 1.02-2.01) time as likely to report using e-cigarettes on 20-30 days, compared to 1-5 days, relative to non-JUUL users, controlling for covariates. CONCLUSION: JUUL use was associated with greater odds of nicotine dependence and more frequent e-cigarette use among adolescents. Greater prevention and regulatory efforts should be made to prevent adolescent use of high dose nicotine devices such as JUUL.

Subjective experiences at e-cigarette initiation: Implications for e-cigarette and dual/poly tobacco use among youth.

BACKGROUND: Subjective experiences (SEs) at initiation of cigarettes, cigars, and smokeless tobacco have been established as predictors of continued use. To date, less is known about the relationships between SEs at e-cigarette initiation and subsequent e-cigarette use behaviors. METHODS: This study used data from Waves 1-6 of the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system; a population-based rapid response study of adolescents in major metropolitan areas of Texas. Participants were adolescents who self-reported ever using e-cigarettes across all 6 waves (n = 1,104; N = 460,069). Factor analyses examined structure of SEs at e-cigarette initiation. Weighted, multilevel, multivariate regression models examined role of SEs at e-cigarette initiation on subsequent past 30-day e-cigarette use behaviors. RESULTS: Factor analyses identified a positive (i.e., euphoria, relaxation) and a negative (i.e., dizziness, cough, nausea) domain of SEs. Positive SEs at e-cigarette initiation predicted 1.20 (95% CI: 1.02-1.42) greater odds of subsequent past 30-day e-cigarette use. Similarly, positive SEs at e-cigarette initiation predicted greater relative risk of dual/poly e-cigarette use, relative to non-use (RRR: 1.61; 95% CI: 1.24-2.10) and exclusive e-cigarette use (RRR: 1.68; 95% CI: 1.26-2.24). CONCLUSION: This is the first study to observe longitudinal relationships between SEs at e-cigarette initiation and subsequent e-cigarette use behaviors. Findings highlight the importance of preventing initial e-cigarette use among adolescents.

Intention to lose weight and use of electronic cigarettes among adolescents.

Electronic cigarette use among American adolescents is a major public health concern given the negative health consequences of nicotine in youth. Recent literature has shown that weight control may be one motivation for use in this population. This study examined associations between intention to lose weight and e-cigarette use among adolescents having overweight or obesity from an ethnically diverse sample of Texas youth by gender. We performed a cross-sectional analysis of a state representative sample of 9056 eighth and eleventh grade students from the 2015-2016 Texas School Physical Activity and Nutrition (Texas SPAN) study. Validated survey items assessed weight intentions and e-cigarette use. Staff collected anthropometric measures. Logistic regression analysis was conducted to assess the relationship between e-cigarette use and weight intentions with gender interaction, adjusting for grade, race/ethnicity, economic status, weight-behaviors and stratified by BMI class. More than half (50.9%) of the weighted sample were Hispanic and 12.5% were Non-Hispanic Black; 8.5% used e-cigarettes; and 50.0% intended to lose weight. Of the 40.2% of the sample having overweight or obesity, 82.9% intended to lose weight. Among respondents with obesity, use of e-cigarettes was significantly higher among males intending to lose weight than among females intending to lose weight (12% versus 6%, p = 0.007). These findings contrast with previous research suggesting that e-cigarette use in females is more likely to be motivated by an intent to lose weight. The ethnic diversity of the Texas SPAN population may explain this discrepancy.

Association between observing peers vaping on campus and E-cigarette use and susceptibility in middle and high school students.

BACKGROUND: This study examines the association between exposure to e-cigarette use on school campus and e-cigarette use behaviors among adolescents in the United States. METHODS: Data were obtained from the 2019 National Youth Tobacco Survey. First, two multivariate logistic regression models examined the association between in-school exposure to e-cigarette use and ever and past 30-day (i.e., current) e-cigarette use. Next, a multivariate logistic regression model to examine the relationship between in-school exposure to e-cigarette use and susceptibility to use was conducted among a subsample (n = 11,958) of never e-cigarette users. Covariates included grade, race/ethnicity, marketing exposure, and ever use of other tobacco products. RESULTS: Approximately 64.3 % of adolescents reported seeing someone use an e-cigarette on school campus; the most common locations being in the bathroom/locker room (34.4 %) and parking lot (34.0 %). In-school exposure to e-cigarette use was associated with greater odds of ever (Adj OR: 2.06; 95 % CI: 1.82-2.33) and current (Adj OR: 1.70; 95 % CI: 1.46-1.98) e-cigarette use among adolescents as well as greater odds of susceptibility to use (Adj OR: 2.00; 95 % CI: 1.82-2.20) among never e-cigarette users. CONCLUSIONS: Observing e-cigarette use on school campus was associated with greater odds of e-cigarette use and susceptibility. It is plausible that observing e-cigarette use on campus reinforces the social acceptability of adolescent e-cigarette use. Findings inform on the prevalence of e-cigarettes use on-campus as well as how this phenomenon may influence e-cigarette use/susceptibility among youth. The observed relationship highlights the role of schools in the efforts to reduce adolescent e-cigarette use.

A Longitudinal Examination of Behavioral Transitions among Young Adult Menthol and Non-Menthol Cigarette Smokers Using a Three-State Markov Model.

INTRODUCTION: Young adult cigarette smoking behaviors are complex and dynamic. Emerging research suggests a growing rate of switching from non-menthol to menthol cigarettes. Transitions across cigarette smoking states are not well understood. This research longitudinally explores transitions in cigarette smoking behaviors among 18-29 year olds. METHODS: We applied a Markov model to data collected biannually for 1542 initially 18-29 year old young adults (mean age: 20.9 years; SD = 2.6) in Texas, who provided 7021 total observations from Fall 2014 to Spring 2017. All participants were past 30 day menthol or non-menthol cigarette smokers at first observation. We examined transitions across three states of cigarette smoking (menthol, non-menthol, and nonsmoking) and compared predictors of each transition, during young adulthood. RESULTS: Descriptively, 22.2% of menthol and 14.3% of non-menthol smokers switched products while 25.6% of menthol and 26.0% of non-menthol smokers quit smoking. Among quitters, 20.0% relapsed via menthol and 28.2% relapsed via non-menthol cigarettes. Results from Markov model indicated that Hispanic/Latinos (Hazard Ratio [HR]: 3.69) and Asians (HR: 2.85) were significantly more likely to switch from non-menthol to menthol cigarettes, relative to non-Hispanic whites. Among recent quitters, the use of non-cigarette products was associated with increased risk of relapse via menthol (HR: 1.54) and non-menthol (HR: 1.85) cigarettes. CONCLUSION: A substantial proportion of young adult cigarette smokers transitioned across cigarette smoking states over the course of 2.5 years. Other tobacco use and nicotine dependence were impediments to becoming and remaining a non-smoker. Hispanic/Latinos and Asians, relative to non-Hispanic whites, had greater odds of transitioning from non-menthol smoking to both non-smoking and to menthol smoking. Findings suggest racial/ethnic differences in cigarette smoking transitions during young adulthood. IMPLICATIONS: This paper examined multidirectional transitions across cigarette smoking, including switching between menthol and non-menthol cigarettes, among young adults. Results indicate that Hispanic/Latino and Asian young adults are at increased risk of transition to menthol cigarette smoking compared with non-Hispanic white young adults. Findings highlight need for further study of Hispanic/Latino and Asian young adult smoking behaviors.

Dissemination of CATCH My Breath, a middle school E-Cigarette prevention program.

OBJECTIVES: In 2016, the US Surgeon General issued a Call to Action to address adolescent e-cigarette use and school-based prevention interventions are an effective component of comprehensive tobacco control. This study describes the development and dissemination of CATCH My Breath, an e-cigarette prevention program for middle and high school students. METHODS: Starting in 2014, a university and nonprofit collaboration designed, formatively evaluated, pilot tested, and disseminated the CATCH My Breath Program (CMB). The team used Social Cognitive Theory to develop the program and Diffusion of Innovations Theory to disseminate the program. Dissemination strategies were applied beginning in 2016. This paper describes the application of both theories and the resulting reach of CMB. RESULTS: Since dissemination began, CMB has been rapidly adopted, following the typical diffusion normal curve. As of June 2020, approximately 4,000 schools in the United States have adopted the program, 70,000 teachers have taught the program, and 1,400,000 students have been exposed to program materials. CONCLUSION: The application of Social Cognitive Theory and Diffusion of Innovation Theory resulted in effective prevention results and rapid, widespread adoption of the CMB. This level of adoption and implementation represents 25% of the school marketplace. CMB should be considered as the school component of the recommended combustible and e-cigarette prevention and control toolkit, alongside mass media, marketing restrictions, retail access, taxation, flavor ban, and FDA premarket approval. Other public health interventions seeking rapid adoption should consider applying principles of Diffusion of Innovation as a guide for development and dissemination.

A Middle School Program to Prevent E-Cigarette Use: A Pilot Study of "CATCH My Breath".

OBJECTIVES: From 2017 to 2018, electronic cigarette (e-cigarette) use increased 78% among high school students and 48% among middle school students in the United States. However, few e-cigarette prevention interventions have been evaluated. We determined the feasibility and initial effectiveness of "CATCH My Breath," an e-cigarette prevention program, among a sample of middle schools in central Texas. METHODS: Twelve middle schools in Texas (6 intervention schools and 6 control schools) participated in the CATCH My Breath pilot program during 2016-2017. CATCH My Breath is rooted in social cognitive theory, consists of 4 interactive in-class modules, and is collaboratively administered via classroom and physical education teachers, student-peer leaders, and social messaging (eg, school posters). We collected 3 waves of data: baseline (January 2017), 4-month follow-up (May 2017), and 16-month follow-up (May 2018). Using school as the unit of analysis, we tested a repeated cross-sectional, condition-by-time interaction on e-cigarette ever use, psychosocial determinants of use, and other tobacco use behaviors. Analyses controlled for school-level sociodemographic characteristics (eg, sex, race/ethnicity, and percentage of students eligible for free or reduced-price lunch). RESULTS: From baseline to 16-month follow-up, increases in ever e-cigarette use prevalence were significantly lower among intervention schools (2.8%-4.9%) than among control schools (2.7%-8.9%), controlling for covariates (P = .01). Intervention schools also had significantly greater improvements in e-cigarette knowledge (ß = 0.71; 95% confidence interval [CI], 0.21-1.21; P = .008) and perceived positive outcomes (ß = -0.12; 95% CI, -0.23 to -0.02; P = .02) than control schools, controlling for covariates from baseline to 16-month follow-up. CONCLUSION: Ever e-cigarette use was lower among middle schools that implemented the CATCH My Breath program than among those that did not. Replication of findings among a larger sample of schools, using a group-randomized, longitudinal study design and a longer follow-up period, is needed.

E-Cigarette Use Is Associated With Intentions to Lose Weight Among High School Students.

INTRODUCTION: Recent literature has demonstrated individuals may be using electronic cigarettes (e-cigarettes) as a method of weight loss and/or management. Furthermore, e-cigarette companies are developing and patenting technologies related to e-cigarettes and weight loss. This study aims to determine the association between intentions to lose weight and e-cigarette use behaviors among a nationally representative sample of high school students. METHODS: Data were obtained from the 2015 Youth Risk Behavior Surveillance survey. Participants were 12 847 students in grades 9-12 in the United States. Multivariate multinomial logistic regression models assessed the association between past 30-day e-cigarette use and weight loss intentions among 9-12 grade students. Subsample analyses were conducted, stratified by sex. Covariates included perceived weight, sex, race/ethnicity, grade, and past 30-day tobacco use. RESULTS: Overall, 23.7% of the sample used e-cigarettes in the past 30 days. E-cigarette use was associated with 1.38 (95% CI = 1.07% to 1.78%) greater risk of intentions to lose weight among the full sample, controlling for covariates. Among girls, e-cigarette use was associated with 1.44 (95% CI = 1.05% to 1.97%) greater risk of intentions to lose weight, controlling for covariates. Among boys, e-cigarette use was associated with 1.40 (95% CI = 1.04% to 1.88%) greater odds of intentions to gain weight, controlling for covariates. CONCLUSION: Findings show a significant association between e-cigarette use and intentions to lose weight among high school students, among the full sample. Interestingly, e-cigarette use was statistically associated with intentions to gain weight among boys. Longitudinal study is needed to further examine this relationship. IMPLICATIONS AND CONTRIBUTION: This is the one of the first studies reporting on e-cigarette use and weight loss intentions among adolescents, both highly prevalent among this population. These findings are an important development in the study of e-cigarette use given the established link between conventional cigarette smoking and weight loss and/or management.