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OBJECTIVE: To examine associations between depression, anxiety, and stress, as measured by the Depression, Anxiety and Stress Scale (DASS-21) scale, with current e-cigarette use. METHODS: Data from the Truth Longitudinal Cohort - a nationally representative sample of youth and young adults - was collected between October 2022 to February 2023. The analytic sample was comprised of participants who provided information on e-cigarette use and the DASS-21 scale (Nâ¯=â¯4198). Chi-square statistics were used to determine differences by current e-cigarette use across covariates and DASS-21 items. Logistic regression analyses were applied to the cross-sectional data to determine which scales predicted current e-cigarette use, adjusted for the effects of age, gender identity, race and ethnicity, parental educational attainment, perceived financial situation, and current use of alcohol, marijuana, and other tobacco use. RESULTS: Those who had severe/extremely severe levels of depression, anxiety, and stress had greater odds of current e-cigarette use, relative to those who had normal levels of depression, anxiety, and stress, even after adjusting for covariates. Results also demonstrated associations between age, race/ethnicity, parental education, and current use of alcohol, marijuana, and other tobacco products with current e-cigarette use. LIMITATIONS: Cross-sectional analyses of self-reported data limit the ability to determine directionality of effects between depression, anxiety, stress, and current e-cigarette use. DISCUSSION: More severe levels of depression, anxiety, and stress were associated with a greater likelihood of current e-cigarette use. Future research is needed to evaluate changes in e-cigarette use, in response to depression, anxiety, and stress symptomatology.
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OBJECTIVE: To examine use and frequency patterns across e-cigarettes, cigarettes, and little cigars, cigars, and cigarillos (LCCs) over time and determine whether patterns differ by race and ethnicity. METHODS: Data was obtained from the Truth Longitudinal Cohort of youth and young adults between September 2020 and June 2022. Latent class and transition analyses were used to classify participants (N = 4448) into subgroups, based on frequency of tobacco product use in the past 30 days, and to estimate the probability of use pattern transitions by race and ethnicity, adjusted for the effects of gender, financial situation, parental education, household tobacco use, and sensation seeking. RESULTS: Four latent classes were identified: former/noncurrent users, predominantly frequent to daily (FTD) e-cigarette users, predominantly FTD e-cigarette and LCC users, and predominantly FTD cigarette with polytobacco users. Use trajectories differed by race and ethnicity. A lower proportion of those who identified as non-Hispanic Black (60.0%) remained e-cigarette and LCC users, relative to those who identified as non-Hispanic White (86.0%), Hispanic or Latino (86.0%), and another race and ethnicity (79.0%). A lower proportion of those who identified as Hispanic or Latino (54.0%) and another race and ethnicity (59.9%) remained cigarette with polytobacco users, relative to those who identified as non-Hispanic White (76.0%) and non-Hispanic Black (72.0%). A greater proportion of non-Hispanic Black respondents transitioned from e-cigarette and LCC user to former/noncurrent user (40.0%) and polytobacco user to e-cigarette and LCC user (11.0%), relative to other racial/ethnic groups. CONCLUSION: More research is needed to determine why tobacco use trajectories differ by race and ethnicity. Such research will be important in informing comprehensive approaches that promote evidence-based prevention policies and programs.
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BACKGROUND: Given that cannabis and e-cigarettes are among the most commonly used substances among young people, there is a need to identify risk factors for concurrent cannabis consumption and nicotine vaping among youth and young adults. METHODS: Data were obtained from the Truth Longitudinal Cohort, collected from September 2020 to March 2021, among a cohort aged 15-24â¯years (Nâ¯=â¯6379). Chi-square tests were conducted to detect differences in sample characteristics by dual use status (never e-cigarette and never cannabis users, never cannabis and former/noncurrent e-cigarette users, never e-cigarette and former/noncurrent cannabis users, former/noncurrent e-cigarette and cannabis users, current e-cigarette only users, current cannabis only users, and concurrent cannabis and e-cigarette dual users). Multinomial logistic regression was used to determine key demographic variables predicting dual use status. RESULTS: Household tobacco use (Relative Risk Ratio, RRRâ¯=â¯4.93), higher sensation seeking (RRRâ¯=â¯3.98), and mental health score (RRRâ¯=â¯2.58) were associated with higher risk of dual use. Being 15-17â¯years (RRRâ¯=â¯0.22), being female (RRRâ¯=â¯0.59) and having parents with an education level of some college or more (RRRâ¯=â¯0.64) were associated with lower risk of dual use. CONCLUSION: Findings suggest the need to carefully monitor cannabis and vaping nicotine among young people. The identification of risk factors provides additional guidance for prevention and treatment efforts, suggesting the need to address use of both substances and target those most at risk.
Subject(s)
Vaping , Humans , Adolescent , Vaping/epidemiology , Female , Male , Young Adult , Risk Factors , Longitudinal Studies , Marijuana Smoking/epidemiology , United States/epidemiology , Electronic Nicotine Delivery Systems/statistics & numerical data , Marijuana Use/epidemiologyABSTRACT
Background: Electronic cigarettes (e-cigarettes) remain the most used tobacco product among young people in the United States (US). Given the need for current data on popular e-cigarette products, the current study leverages data from a rapid surveillance survey of young people and examines whether the top e-cigarette brands identified from this source align with US market data. Methodology: Data were obtained from current e-cigarette users (N = 4145) participating in the Truth Continuous Tracker Online (CTO; a cross-sectional tracking survey of 15-24 year-olds sourced from the national Dynata panel) and NielsenIQ retail scanner data, collected in 2022 and aggregated by quarter (Q1, Q2, and Q3). The top 15 e-cigarette brands were determined from respondents' endorsement in the Truth CTO and ranked total sales in NielsenIQ in nominal dollars. Results: Overall, 58% of e-cigarette brands overlapped across the Truth CTO and NielsenIQ data (60% for Q1, 47% for Q2 and 67% for Q3). Pod-based (JUUL; VUSE) and disposable (Hyde; Breeze Smoke) brands appeared as top brands in both datasets. Top brands were fairly consistent within and across quarters; though, more variability was found in the Truth CTO, relative to NielsenIQ. Many top brands were disposable. Conclusions: Results suggest that data from rapid surveillance and retail data can be used complementarily to characterize the popular e-cigarette brands currently on the US market. Many of these popular e-cigarette brands have yet to receive marketing granted orders under the US Food and Drug Administration, suggesting the need to continue monitoring e-cigarette brands among young people.
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BACKGROUND: e-Cigarette use, especially by young adults, is at unacceptably high levels and represents a public health risk factor. Digital media are increasingly being used to deliver antivaping campaigns, but little is known about their effectiveness or the dose-response effects of content delivery. OBJECTIVE: The objectives of this study were to evaluate (1) the effectiveness of a 60-day antivaping social media intervention in changing vaping use intentions and beliefs related to the stimulus content and (2) the dose-response effects of varying levels of exposure to the intervention on vaping outcomes, including anti-industry beliefs, vaping intentions, and other attitudes and beliefs related to vaping. METHODS: Participants were adults aged 18 to 24 years in the United States. They were recruited into the study through Facebook (Meta Platforms) and Instagram (Meta Platforms), completed a baseline survey, and then randomized to 1 of the 5 conditions: 0 (control), 4, 8, 16, and 32 exposures over a 15-day period between each survey wave. Follow-up data were collected 30 and 60 days after randomization. We conducted stratified analyses of the full sample and in subsamples defined by the baseline vaping status (never, former, and current). Stimulus was delivered through Facebook and Instagram in four 15-second social media videos focused on anti-industry beliefs about vaping. The main outcome measures reported in this study were self-reported exposure to social media intervention content, attitudes and beliefs about vaping, and vaping intentions. We estimated a series of multivariate linear regressions in Stata 17 (StataCorp). To capture the dose-response effect, we assigned each study arm a numerical value corresponding to the number of advertisements (exposures) delivered to participants in each arm and used this number as our focal independent variable. In each model, the predictor was the treatment arm to which each participant was assigned. RESULTS: The baseline sample consisted of 1491 participants, and the final analysis sample consisted of 57.28% (854/1491) of the participants retained at the 60-day follow-up. We compared the retained participants with those lost to follow-up and found no statistically significant differences across demographic variables. We found a significant effect of the social media treatment on vaping intentions (ß=-0.138, 95% CI -0.266 to -0.010; P=.04) and anti-industry beliefs (ß=-0.122, 95% CI 0.008-0.237; P=.04) targeted by the intervention content among current vapers but not among the full sample or other strata. We found no significant effects of self-reported exposure to the stimulus. CONCLUSIONS: Social media interventions are a promising approach to preventing vaping among young adults. More research is needed on how to optimize the dosage of such interventions and the extent to which long-term exposure may affect vaping use over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT04867668; https://clinicaltrials.gov/study/NCT04867668.
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Electronic Nicotine Delivery Systems , Social Media , Vaping , Young Adult , Humans , Intention , Internet , Self ReportABSTRACT
BACKGROUND: Increasingly, survey researchers rely on hybrid samples to improve coverage and increase the number of respondents by combining independent samples. For instance, it is possible to combine 2 probability samples with one relying on telephone and another on mail. More commonly, however, researchers are now supplementing probability samples with those from online panels that are less costly. Setting aside ad hoc approaches that are void of rigor, traditionally, the method of composite estimation has been used to blend results from different sample surveys. This means individual point estimates from different surveys are pooled together, 1 estimate at a time. Given that for a typical study many estimates must be produced, this piecemeal approach is computationally burdensome and subject to the inferential limitations of the individual surveys that are used in this process. OBJECTIVE: In this paper, we will provide a comprehensive review of the traditional method of composite estimation. Subsequently, the method of composite weighting is introduced, which is significantly more efficient, both computationally and inferentially when pooling data from multiple surveys. With the growing interest in hybrid sampling alternatives, we hope to offer an accessible methodology for improving the efficiency of inferences from such sample surveys without sacrificing rigor. METHODS: Specifically, we will illustrate why the many ad hoc procedures for blending survey data from multiple surveys are void of scientific integrity and subject to misleading inferences. Moreover, we will demonstrate how the traditional approach of composite estimation fails to offer a pragmatic and scalable solution in practice. By relying on theoretical and empirical justifications, in contrast, we will show how our proposed methodology of composite weighting is both scientifically sound and inferentially and computationally superior to the old method of composite estimation. RESULTS: Using data from 3 large surveys that have relied on hybrid samples composed of probability-based and supplemental sample components from online panels, we illustrate that our proposed method of composite weighting is superior to the traditional method of composite estimation in 2 distinct ways. Computationally, it is vastly less demanding and hence more accessible for practitioners. Inferentially, it produces more efficient estimates with higher levels of external validity when pooling data from multiple surveys. CONCLUSIONS: The new realities of the digital age have brought about a number of resilient challenges for survey researchers, which in turn have exposed some of the inefficiencies associated with the traditional methods this community has relied upon for decades. The resilience of such challenges suggests that piecemeal approaches that may have limited applicability or restricted accessibility will prove to be inadequate and transient. It is from this perspective that our proposed method of composite weighting has aimed to introduce a durable and accessible solution for hybrid sample surveys.
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Research Personnel , Humans , ProbabilityABSTRACT
OBJECTIVE: Mass media campaigns have been designed to counter a rise in e-cigarette use among young people. No studies to date have established pathways from campaign exposure to e-cigarette use behaviors. This study examines the mechanisms through which exposure to the truth® campaign may prevent the progression of e-cigarette use among youth and young adults. METHOD: Data included four waves of the truth longitudinal cohort, a probability-based, nationally representative survey: Wave 1: September 2020-March 2021; Wave 2: July-October 2021; Wave 3: January-May 2022; and Wave 4: October 2022-January 2023. The sample (N = 4,744) was aged 15-24 years and nicotine naive at Wave 1. Latent growth structural equation modeling techniques examined the pathway from cumulative frequency of ad exposure (CFE) to the e-cigarette use progression via campaign-targeted attitudes. RESULTS: The direct effect from CFE to e-cigarette use progression was not significant. The overall indirect pathway shows that CFE was significantly associated with lower progression of e-cigarette use (ß = -.01, p < .0001). CFE had a significant positive association with each campaign-targeted attitude, and each attitude was significantly associated with stronger perceived norms against e-cigarette use. Stronger perceived norms were significantly associated with a slower progression to e-cigarette use (ß = -.21, p < .0001). CONCLUSIONS: Awareness of the truth antivaping campaign follows a pathway of targeted attitudes and perceptions of acceptability, then to slowed progression toward initiation of e-cigarette use. Antivaping campaigns should focus on shifting perceptions of acceptability to reduce e-cigarette use among young people. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Vaping , Humans , Adolescent , Male , Female , Young Adult , Vaping/prevention & control , Longitudinal Studies , Health Promotion/methods , Electronic Nicotine Delivery Systems/statistics & numerical data , Mass Media , Health Knowledge, Attitudes, Practice , Surveys and QuestionnairesABSTRACT
OBJECTIVE: This project assesses how online vape shops (OVSs) verify buyer identification (ID) and the shipping methods used to send products within the USA. METHODOLOGY: In January 2023, we conducted three online searches (eg, 'best online vape shops') from our office in Washington, District of Columbia, to identify popular OVSs. Two trained coders identified discrete features available within the site sections: 'About Us', 'Shipping Policy' and 'Frequently Asked Questions', or displayed within the site's homepage. Coders recorded OVS listed locations, shipping discounts, shipping companies used and ID verification methods. Lastly, coders indicated if the site requested ID/age verification after adding an item to the shopping cart and initiating checkout procedures. RESULTS: We identified 64 unique OVSs; 92.2% (n=59) offered shipping and 82.8% (n=53) shipped to US buyers; 76.6% (n=49) allowed visitors to type a birthday or choose the '21 or older' option to access the site. Of the 59 sites shipping to buyers, 76.3% (n=45) offered free shipping, 21.9% (n=14) required login to purchase products, while most sites (n=45, 76.3%) allowed visitors to reach the checkout page without ID verification. The US Postal Service is the most commonly used shipping carrier (n=23), in violation of the Preventing All Cigarette Trafficking Act. CONCLUSIONS: Most OVSs rely on age self-certification, which underage youth can easily exploit to access these products. Findings warrant that the Food and Drug Administration, state and local policymakers explore additional actions regulating online tobacco sales to address the compliance issues our data elucidate. These include enhanced surveillance, compliance checks and stricter penalties.
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BACKGROUND: Little cigars or cigarillos (LCCs) are frequently modified to smoke cannabis ("blunts") by youth and young adults. This study investigated whether young blunt users who are otherwise nicotine-naïve are more likely to initiate other tobacco products compared to never blunt users. METHODS AND MATERIALS: Data were from four waves of the Truth Longitudinal Cohort (TLC), a national probability-based sample of youth and young adults (aged 15-24 years) in the United States (Wave 1: January-April 2017; Wave 2: February-May 2018; Wave 3: February-May 2019; Wave 4: September-December 2019). The sample was restricted to nicotine naïve respondents at Wave 1 with possible ever use of blunts (N = 5,284). Logistic regression analyses tested whether ever blunt use at Wave 1 predicted initiation of nicotine products by Wave 4, controlling for established risk factors. RESULTS: Compared to never-blunt users, ever users of blunts at Wave 1 had significantly higher odds of ever using cigars (OR: 4.74; 95% CI: 1.80-12.47; p = 0.002), e-cigarettes (OR: 4.66; 95% CI: 2.42-8.95; p < 0.001), cigarettes (OR: 3.02; 95% CI: 1.17-7.84, p = 0.023), or hookah (OR: 3.47; 95% CI: 1.07-11.29, p = 0.039) by Wave 4. Cannabis (never blunt) use by Wave 1 predicted ever use of e-cigarettes (OR: 3.45, 95% CI: 2.38-5.02, p < 0.001), cigarettes (OR: 3.81; 95% CI: 2.26-6.43, p < 0.001), or hookah (OR: 2.13; 95% CI: 1.12-4.05, p = 0.021) by Wave 4. DISCUSSION: Blunts are a point of nicotine initiation that places users at increased risk of progression to cigars, while the same relationship was not found for cannabis alone.
Subject(s)
Cannabis , Electronic Nicotine Delivery Systems , Hallucinogens , Tobacco Products , Humans , United States/epidemiology , Adolescent , Young Adult , Nicotine , Risk Factors , Tobacco UseABSTRACT
PURPOSE: To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status. DESIGN: Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students. SETTING: Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019. SUBJECTS: The analytic sample included 277 291 university students. MEASURES: Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user). ANALYSIS: Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use. RESULTS: Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use. CONCLUSION: Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.
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Electronic Nicotine Delivery Systems , Substance-Related Disorders , Vaping , Male , Female , Young Adult , Humans , United States/epidemiology , Universities , Cross-Sectional StudiesABSTRACT
Objective: This study examines characteristics of participants enrolled in a vaping cessation intervention trial and study generalizability of the treatment-seeking sample to the broader population of young people interested in quitting vaping to evaluate dissemination of an evidence-based treatment program. Methods: Data was obtained from 697 treatment-seeking participants (aged 13-24 years) from a vaping cessation intervention trial conducted between February and March 2023 with This is Quitting and 665 participants who expressed intent to quit vaping in the Truth Longitudinal Cohort, a nationally representative longitudinal study of United States youth and young adults (aged 15-24 years), collected October 2022 to February 2023. Comparisons were made using two-sample Pearson Chi-square tests and t-tests. Results: Treatment-seeking young people were younger, less racially diverse, more diverse in sexual orientation, and reported higher psychological distress, frequency of e-cigarette use, and nicotine dependence, relative to the nationally representative sample of young people expressing intentions to quit vaping. Conclusions: Participants enrolled in treatment reported higher levels of dependence and use frequency than the broader population, suggesting that many young e-cigarette users with lower dependence who want to quit might not be reached by current treatment dissemination efforts. The implication of these findings is that communications for vaping cessation programs may need to be adjusted to have broader appeal among young people.
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PURPOSE: This study examines the pathways through which e-cigarette users' awareness of the truth® campaign influences e-cigarette use frequency over time. DESIGN AND SETTING: Data included four waves (2020-2023) of the Truth Longitudinal Cohort, a probability-based, nationally representative survey. PARTICIPANTS: The analytic sample was 15-24-year-olds who reported current e-cigarette use at baseline (N = 718). Wave-by-wave retention rates were 64% to 69%. MEASURES: Respondents' cumulative awareness of truth® ads was calculated (Waves 1-2). Strength of agreement with campaign-targeted attitudes was measured on five-point scales (Wave 2). The outcome was change in the 4-level frequency of e-cigarette use (Waves 2-4). ANALYSIS: Latent growth structural equation modeling examined the pathway from cumulative ad awareness to the frequency of e-cigarette use via campaign-targeted attitudes. RESULTS: Model fit estimates identified a three-step pathway by which awareness of the campaign reduced e-cigarette use. Ad awareness was significantly associated with stronger campaign-targeted attitudes: perceived risk (ß = .20, P < .0001); anti-vape industry (ß = .13, P = .003); independence from addiction (ß = .13, P = .004); and affinity with groups that reject vaping (ß = .18, P < .0001). Each attitude was significantly associated with stronger perceived norms against e-cigarette use (respectively: ß = .25, P < .0001; ß = .15, P < .0001; ß = .12, P = .018; ß = .27, P < .0001). Perceived norms against e-cigarette use had a significant negative relationship with growth in e-cigarette use frequency over time (ß = -.23, P < .0001). CONCLUSION: Greater truth® anti-vaping ad awareness strengthens campaign-targeted attitudes among current users, increasing perceived norms against e-cigarette use and reducing use over time.
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Purpose: Temporal patterns of daily tobacco product use among ever users from the Truth Longitudinal Cohort (TLC) between 2018 and 2019 were explored. Methods: The sample (N = 5274) includes individuals (15-36 years), residing in the United States, who had ever used any tobacco product at Wave 7 (February - May 2018) and provided tobacco use information at Wave 9 (September - December 2019). Results: There was a nonsignificant 1.1 percentage point increase in daily tobacco use (on at least 25 of the past 30 days), from 14.6% (95% CI: 12.8, 16.6) to 15.7% (95% CI: 13.8, 17.7). Tobacco product use remained stable over time, as 65.3% (95% CI: 56.4, 73.3) of daily cigarette smokers, 57.0% (95% CI: 43.6, 69.4) of daily e-cigarette vapers, and 8.5% (95% CI: 2.0, 29.3) of daily dual users stayed with their primary tobacco product. There was also some evidence of switching, as 7.5% (95% CI: 3.7, 14.8) of daily cigarette smokers became daily e-cigarette vapers and 2.3% (95% CI: 0.7, 6.8) of daily e-cigarette vapers became daily cigarette smokers. Discussion: Although most daily tobacco users were likely to continue using their primary product, some daily users transitioned to daily use of other products - suggesting that policies and public education focused on reducing overall nicotine use are essential for addressing the nicotine epidemic among young people.
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This study examines e-cigarette use behaviors of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) youth, in relation to other racial/ethnic groups in the United States. Data were obtained from the 2018 and 2019 Monitoring the Future surveys, which include a random, probability-based sample of youth in 8th, 10th, and 12th grades surveyed annually across the contiguous United States. Respondents provided information on race/ethnicity and e-cigarette use (n = 42,980). Measures of e-cigarette use included current (1 + of past 30 days) and regular use (10 + of past 30 days). Chi-square tests were used to determine differences in e-cigarette use by race/ethnicity. Associations between race/ethnicity, other sociodemographic factors, and e-cigarette use were explored using logistic regression analyses. Approximately 5.1% (n = 2,410) of the sample identified as AANHPI. A greater proportion of Native Hawaiian and Pacific Islanders reported current e-cigarette use (NHPI, 28.0%), relative to Asian American (AA, 10.3%), Black (9.5%), Hispanic or Latino (15.0%), American Indian or Alaskan Native (AIAN, 16.5%), multiracial (22.3%), and non-Hispanic White (25.2%) youth. Regular e-cigarette use was highest among non-Hispanic White (12.3%), followed by multiracial (10.7%), AIAN (7.8%), Hispanic or Latino (5.0%), AA (4.3%), and Black (3.0%) youth. Associations between race/ethnicity and e-cigarette use remained significant, after controlling for other sociodemographic factors. Continued monitoring of e-cigarette use is needed among AANHPI, a historically underrepresented population in tobacco research. Special attention should be paid to NHPI, who reported the highest rates of e-cigarette use.
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BACKGROUND: Mass media campaigns have been shown to be effective in reducing cigarette use. However, evidence is limited for whether campaigns can shift e-cigarette use among youth and young adults (YYA). To assess the impact of the truth anti-e-cigarette campaign, which focused on the effects of vaping on mental health, this study examines the relationship between campaign awareness and e-cigarette behaviour among YYA. METHODS: Data from weekly cross-sectional surveys of YYA aged 15-24 years from September 2021 to October 2022 were used for multilevel models assessing how weekly campaign awareness is related to intentions to use e-cigarettes and current e-cigarette use (past 30 days). Weekly campaign awareness was calculated by averaging individual-level awareness for each week. Control variables included individual-level campaign awareness, sociodemographics, perceived financial situation, parental smoking, sensation seeking, and mental health. RESULTS: Weekly campaign awareness ranged from 50% to 78%, with most weeks (77%) being within 65% and 75% of weekly campaign awareness. At weekly awareness levels between 65% and 75%, there was a significant association with lower intentions to use e-cigarettes. A dose-response relationship was observed for current use: compared with weeks with lower (<65%) awareness, weeks with awareness of 65-70% had 14% lower odds of current use, weeks with 70-75% awareness had 16% lower odds and weeks with >75% weekly awareness had 18% lower odds (p=0.018, p=0.009 and p=0.007, respectively). CONCLUSIONS: Findings from this analysis of weekly campaign awareness demonstrate that exposure to the truth anti-e-cigarette campaign is associated with significantly lower odds of intentions to use and current use of e-cigarette among YYA.
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BACKGROUND: Unacceptably high levels of e-cigarette use among youth paired with growing research about the dangers of vaping demonstrate a critical need to develop interventions that educate young people to reject e-cigarette use and promote cessation for current users. Vaping: Know the Truth (VKT) is a free digital learning experience prioritizing middle and high school students that aims to improve students' knowledge about the dangers of using e-cigarettes and provide quitting resources for those who already vape. The current study was designed to evaluate whether students receiving the curriculum increased knowledge of the dangers of vaping. METHODS: The outcome measures were calculated as the change in the number of correct responses from the pre- to post-module assessments among middle and high school students who completed four modules of the VKT curriculum (N = 103,522). Linear regression was performed to determine the association between the student's pre-module assessment score and the knowledge change score after completion of the four modules. RESULTS: Students' e-cigarette knowledge significantly improved by an average of 3.24 points (SD: 3.54), following implementation of the VKT curriculum. This indicates that participants answered more than 3 additional questions correctly, on average, after the intervention. CONCLUSION: Findings demonstrate that the Vaping: Know the Truth curriculum is an effective resource for increasing knowledge among youth about the harms associated with e-cigarette use. Further research is needed to evaluate whether the intervention is associated with behavioral outcomes over time.
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Objective: This study aimed to examine varying incentives on acceptance to participate in an online survey on social media and to identify related demographic factors. Methods: The study used Facebook and targeted its users aged 18 to 24 years in the United States. During recruitment, participants were randomized to one of the three types of incentives for survey completion, (1) a $5 gift card, (2) a lottery for a $200 gift card, and (3) a $5 gift card plus a lottery for a $200 gift card. Acceptance rates for survey participation were compared across three incentives using percentages, 95% logit-transformed confidence intervals, and Pearson's chi-squared tests. The survey asked about cognition and behaviors around smoking and vaping. Results: The ads had 1,782,931 impressions, 1,104,139 reaches, and 11,878 clicks. The average ad frequency was 1.615, and the click-through rate was 0.67%. Males clicked less than females when seeing the ads. The acceptance rates for the three incentives were 63.7%, 37.2%, and 64.6%, respectively. A Chi-square test confirmed that the lottery-only group had a lower acceptance rate compared to those guaranteed an incentive, including the gift card group and the gift card and lottery group. Further analyses indicated that males did not opt into the survey as often as females when given the lottery-only incentive option, and those who did not meet their financial expenses opted into the survey more often than those who had more money than their expenses when given the lottery-only incentive option. Conclusions: This study suggests that incentives guaranteed to all participants, even if the incentive's value is small, may lead to higher acceptance rates compared to a lottery for a greater incentive in social media-based surveys.
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BACKGROUND: The COVID-19 pandemic had wide-ranging systemic impacts, with implications for social and behavioral factors in human health. The pandemic may introduce history bias in population-level research studies of other health topics during the COVID-19 period. OBJECTIVE: We sought to identify and validate an accessible, flexible measure to serve as a covariate in research spanning the COVID-19 pandemic period. METHODS: Transportation Security Administration checkpoint travel numbers were used to calculate a weekly sum of daily passengers and validated against two measures with strong face validity: (1) a self-reported item on social distancing practices drawn from a continuous tracking survey among a national sample of youths and young adults (15-24 years) in the United States (N=45,080, approximately 280 unique respondents each week); and (2) Google's Community Mobility Reports, which calculate daily values at the national level to represent rates of change in visits and length of stays to public spaces. For the self-reported survey data, an aggregated week-level variable was calculated as the proportion of respondents who did not practice social distancing that week (January 1, 2019, to May 31, 2022). For the community mobility data, a weekly estimate of change was calculated using daily values compared to a 5-week prepandemic baseline period (January 3, 2020, to February 6, 2020). Spearman rank correlation coefficients were calculated for each comparison. RESULTS: Checkpoint travel data ranged from 668,719 travelers in the week of April 8, 2020, to nearly 15.5 million travelers in the week of May 18, 2022. The weekly proportion of survey respondents who did not practice social distancing ranged from 18.1% (n=42; week of April 15, 2020) to 70.9% (n=213; week of May 25, 2022). The measures were strongly correlated from January 2019 to May 2022 (ρ=0.90, P<.001) and March 2020 to May 2022 (ρ=0.87, P<.001). Strong correlations were observed when analyses were restricted to age groups (15-17 years: ρ=0.90; P<.001; 18-20 years: ρ=0.87; P<.001; 21-24 years: ρ=0.88; P<.001), racial or ethnic minorities (ρ=0.86, P<.001), and respondents with lower socioeconomic status (ρ=0.88, P<.001). There were also strong correlations between the weekly change from the baseline period for checkpoint travel data and community mobility data for transit stations (ρ=0.92, P<.001) and retail and recreation (ρ=0.89, P<.001), and moderate significant correlations for grocery and pharmacy (ρ=0.68, P<.001) and parks (ρ=0.62, P<.001). A strong negative correlation was observed for places of residence (ρ=-0.78, P<.001), and a weak but significant positive correlation was found for workplaces (ρ=0.24, P<.001). CONCLUSIONS: The Transportation Security Administration's travel checkpoint data provide a publicly available flexible time-varying metric to control for history bias introduced by the pandemic in research studies spanning the COVID-19 period in the United States.
Subject(s)
COVID-19 , Young Adult , Adolescent , Humans , United States/epidemiology , COVID-19/epidemiology , Pandemics , SARS-CoV-2 , Surveys and Questionnaires , Racial GroupsABSTRACT
Exposure to tobacco imagery in movies and television has been identified as a key factor to youth smoking initiation (Davis, 2008; Bennett et al., 2020). This study aims to investigate the prevalence of tobacco imagery in popular music videos from 2018 to 2021. The weekly top 10 songs of 2018-2021 were identified using Billboard Charts categories (Hot 100, Hot R&B/Hip-Hop, Country, Rock & Alternative, Dance/Electronic, Pop Airplay). Content analyses of the top music videos using the Thumbs up Thumbs Down methodology were conducted to identify tobacco depictions on screen. The sample consisted of 1,008 music videos across four years; 196 of which contained tobacco imagery (19.4%). Between 2018 and 2021, the proportion of videos with tobacco imagery ranged between 12.8% and 23.0% of the total year sample. Tobacco incidences almost doubled from 280 occurrences in 2018 to 522 occurrences in 2020, but decreased by over half to 290 occurrences in 2021. Tobacco incidences varied by year and genre, with Hot 100 being the top offending genre in 2018 with 40.0% of videos containing tobacco imagery while Hot R&B/Hip-Hop was the top offending genre from 2019 to 2021 (52.7%, 52.5%, and 23.9% respectively). Cigarettes were most pervasive in 2019 (70.1% of total tobacco incidences), 2020 (45.6%), and 2021 (64.1%) music videos. Pipes were the most pervasive product in 2018 music videos (39.6%). Given the reach and frequency of exposure to music videos among young people, reducing tobacco imagery in popular music videos may prevent tobacco use among young people.
ABSTRACT
INTRODUCTION: The U.S. Food and Drug Administration was ordered to evaluate electronic nicotine delivery system (ENDS) products by September 9, 2021, but missed the court-ordered deadline. This study provides an estimate of electronic cigarette (E-cigarette) use initiation among youth and young adults after the U.S. Food and Drug Administration's missed deadline. METHODS: Data were obtained from the Truth Longitudinal Cohort, a probability-based longitudinal sample of youth and young adults aged between 15 and 24 years (N=1,393). Respondents were surveyed at baseline (July-October 2021) and at follow-up (January-June 2022). Individuals who had not previously used any E-cigarette products were included in analyses conducted in 2022. RESULTS: Results indicate that 6.9% of youth and young adults had initiated E-cigarette use, suggesting that about 900,000 youth aged 15-17 years and 320,000 young adults aged 18-20 years initiated E-cigarette use after the U.S. Food and Drug Administration's missed court-ordered deadline. CONCLUSIONS: Over a million youth and young adults initiated E-cigarette use after the U.S. Food and Drug Administration's missed court-ordered deadline. The U.S. Food and Drug Administration needs to continue evaluating premarket tobacco product applications, enforce decisions on premarket tobacco product applications, and remove E-cigarettes that are deemed harmful to public health to effectively address the E-cigarette epidemic among young people.