Understanding e-Cigarette Addictiveness: Triangulation of Focus Group and Netnographic Data.

BACKGROUND: Numerous studies have shown that e-cigarettes are addictive. For example, we previously showed that users of e-cigarette online forums discuss experiences of addiction in a netnographic analysis. However, it is unclear what makes e-cigarettes addictive apart from nicotine. In a focus group analysis, we recently identified 3 unique features of e-cigarettes that users linked to experiences of addiction: the pleasant taste, unobtrusiveness, and unlimited usability of e-cigarettes. OBJECTIVE: This study aimed to validate the previously identified features of e-cigarette addictive potential by triangulating data from the netnographic analysis and focus group discussions. METHODS: Drawing on a netnographic analysis of 3 popular, German-language e-cigarette forums, we studied whether experiences of addiction were linked to specific e-cigarette features. We included 451 threads in the analysis that had been coded for addictive experiences in a previous study by our team. First, we conducted a deductive analysis with preregistered codes to determine whether the features of pleasant taste, unobtrusiveness, and unlimited usability were mentioned in relation to the addictive potential of e-cigarettes in the online forums. Second, an inductive approach was chosen to identify further possible addictive features of e-cigarettes. RESULTS: Our deductive analysis confirmed that the features highlighted in our previous focus group study (pleasant taste, unobtrusiveness, and unlimited usability) were also frequently discussed in online forums in connection to addictive symptoms. In addition, our inductive analysis identified nicotine dosage as a significant feature linked to addiction. Users reported varying their nicotine doses for different reasons, leading to the identification of four distinct user types based on dosing patterns: (1) high doses for intermittent, (2) high doses for constant use, (3) low doses for constant use, and (4) switching between high and low doses depending on the situation. CONCLUSIONS: Our comprehensive analysis of online forum threads revealed that users' experiences of addiction are linked to 4 specific features unique to e-cigarettes: pleasant taste, unobtrusiveness, unlimited usability, and nicotine dosage. Recognizing these addictive features of e-cigarettes is crucial for designing cessation programs and informing public health policies to reduce the addictiveness of e-cigarettes.

Vaping: The Key to Quitting Cigarettes or a Gateway to Addiction?

Background and Objectives: In 2022, the Centers for Disease Control and Prevention (CDC) discovered that 2.55 million middle and high school students were using electronic cigarettes (e-cigarettes) in the US alone. E-cigarettes allow people to inhale a nicotine solution (e-liquid) into their bodies. While e-cigarettes are often advertised as a way to help people quit traditional tobacco products, the World Health Organization (WHO) has stated that there is no proof of e-cigarettes being effective at reducing an individual's tobacco use. The objective of this study is to determine why adolescents start smoking e-cigarettes. Materials and Methods: For the following study, the National Youth Tobacco Survey (NYTS) 2021 was used. This is a nationally representative cross-sectional survey that includes middle and high school students. The data were analyzed using SAS v.9.4. The odds ratio for smoking e-cigarettes was evaluated for both sex and race via a logistic regression. Results: It was discovered that the percentage of only e-cigarette smokers (12.10%) was 5.5 times the percentage of only traditional smokers (2.19%). Additionally, the median age at which adolescents started smoking e-cigarettes was fifteen years with an IQR (Inter Quartile Range) of two. We used a logistic regression to show that biological sex and race were significant predictors of e-cigarette usage. Conclusions: In general, we saw that adolescents were mostly starting to smoke e-cigarettes because their friends were doing it, out of curiosity, they were depressed or anxious, and/or to get a "high", implying that adolescents mostly started smoking in order to fit in and/or to numb themselves. Interestingly, reasons like cost, using them to quit smoking, seeing them in the media, and ease of attainment were ranked the lowest when it came to smoking e-cigarettes. However, their lower costs naturally lead to increased accessibility compared to traditional cigarettes, making them easier to reach the hands of teenagers. Overall, in this paper, we aim to identify if adolescents are choosing e-cigarettes as their first foray into tobacco products and why.

Adolescents' Experiences and Perceptions of E-Cigarettes and Nicotine Addiction.

BACKGROUND:  E-cigarettes are the most-used tobacco product among US adolescents and are associated with nicotine addiction. This qualitative investigation aimed to understand adolescents' experiences and perceptions with nicotine addiction, and related influences of addiction, to inform product regulation, health communication, and cessation resource development. METHODS:  Between May 2020 and December 2021, in-depth, semi-structured individual interviews were conducted with 47 California (United States) adolescents ages 13-17 who reported recent tobacco use (primarily e-cigarette use). The topic of addiction both arose organically and followed specific interviewer questions. Researchers used thematic analysis techniques to identify unifying themes related to addiction. RESULTS:  Adolescents described e-cigarette addiction in ways that reflected a loss of control over their routines and activities and as physical symptoms, including reward and withdrawal. While some viewed addiction risk as a reason not to vape, others perceived it possible to use e-cigarettes and avoid or manage addiction. Specific characteristics of e-cigarette devices, particularly disposable nicotine-salt products, including flavors, "cool" designs, concealable size and odor, low price, and ease-of-use, were seen as enhancing addiction risk. Quit attempts were difficult and usually unsupported by adults or formal cessation aids. CONCLUSIONS:  For many adolescents, addiction is a major component of their experience with e-cigarettes, often in ways that disrupt their routines and reduce their quality of life. Tobacco control or regulation could target e-cigarette product characteristics to decrease potential for addiction among adolescents. Needed are youth-targeted public communication about nicotine addiction and adolescent-tailored, evidence-based cessation support.

Exploring General Practitioners' Knowledge, Attitudes, and Practices towards E-Cigarette Use/Vaping in Children and Adolescents: A Pilot Cross-Sectional Study in Sydney.

(1) Background: The increasing use of e-cigarettes/vaping in children and adolescents has been recognised as a global health concern. We aim to explore the Knowledge, Attitude, and Practice of General Practitioners (GPs) in Sydney regarding the use of e-cigarettes in children and adolescents and identify the barriers to addressing this issue. (2) Methods: This pilot study was a cross-sectional study conducted using an electronic questionnaire with a Likert scale and free-text responses. (3) Results: Fifty-three GPs participated in the study (male = 24 and female = 29) with a mean age of 50 ± 5.5 years. There was strong agreement (mean 4.5) about respiratory adverse effects and addictive potential. However, there was less awareness of cardiac side effects and the occurrence of burns. There is a lack of conversation about e-cigarettes in GP practice and a deficit of confidence in GPs regarding managing e-cigarette use in children and adolescents. (4) Conclusions: Our pilot study has shown that GPs are somewhat knowledgeable about the potential adverse effects of the use of e-cigarettes in children and adolescents, though there is a lack of knowledge of the complete spectrum of adverse effects and more importantly, there is a paucity of a structured approach to discuss the use of e-cigarettes with children and adolescents, and there is a low level of confidence in addressing these issues. There is a need for educational interventions for GPs to increase awareness of the potential adverse effects of using e-cigarettes and build confidence in providing management to children and adolescents regarding the use of e-cigarettes.

The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study.

BACKGROUND: Social media posts that portray vaping in positive social contexts shape people's perceptions and serve to normalize vaping. Despite restrictions on depicting or promoting controlled substances, vape-related content is easily accessible on TikTok. There is a need to understand strategies used in promoting vaping on TikTok, especially among susceptible youth audiences. OBJECTIVE: This study seeks to comprehensively describe direct (ie, explicit promotional efforts) and indirect (ie, subtler strategies) themes promoting vaping on TikTok using a mixture of computational and qualitative thematic analyses of social media posts. In addition, we aim to describe how these themes might play a role in normalizing vaping behavior on TikTok for youth audiences, thereby informing public health communication and regulatory policies regarding vaping endorsements on TikTok. METHODS: We collected 14,002 unique TikTok posts using 50 vape-related hashtags (eg, #vapetok and #boxmod). Using the k-means unsupervised machine learning algorithm, we identified clusters and then categorized posts qualitatively based on themes. Next, we organized all videos from the posts thematically and extracted the visual features of each theme using 3 machine learning-based model architectures: residual network (ResNet) with 50 layers (ResNet50), Visual Geometry Group model with 16 layers, and vision transformer. We chose the best-performing model, ResNet50, to thoroughly analyze the image clustering output. To assess clustering accuracy, we examined 4.01% (441/10,990) of the samples from each video cluster. Finally, we randomly selected 50 videos (5% of the total videos) from each theme, which were qualitatively coded and compared with the machine-derived classification for validation. RESULTS: We successfully identified 5 major themes from the TikTok posts. Vape product marketing (1160/10,990, 8.28%) reflected direct marketing, while the other 4 themes reflected indirect marketing: TikTok influencer (3775/14,002, 26.96%), general vape (2741/14,002, 19.58%), vape brands (2042/14,002, 14.58%), and vaping cessation (1272/14,002, 9.08%). The ResNet50 model successfully classified clusters based on image features, achieving an average F1-score of 0.97, the highest among the 3 models. Qualitative content analyses indicated that vaping was depicted as a normal, routine part of daily life, with TikTok influencers subtly incorporating vaping into popular culture (eg, gaming, skateboarding, and tattooing) and social practices (eg, shopping sprees, driving, and grocery shopping). CONCLUSIONS: The results from both computational and qualitative analyses of text and visual data reveal that vaping is normalized on TikTok. Our identified themes underscore how everyday conversations, promotional content, and the influence of popular figures collectively contribute to depicting vaping as a normal and accepted aspect of daily life on TikTok. Our study provides valuable insights for regulatory policies and public health initiatives aimed at tackling the normalization of vaping on social media platforms.

Association of electronic cigarette use and suicidal behaviors: a systematic review and meta-analysis.

BACKGROUND: The proliferation of electronic cigarettes (e-cigarettes) has presented new challenges in public health, particularly among adolescents and young adults. While marketed as safer than tobacco and as cessation aids, e-cigarettes have raised concerns about their long-term health and psychosocial impacts, including potential links to increased suicidal behaviors. This study aims to evaluate the relationship between e-cigarette use and suicidal behaviors by conducting a systematic review of the current literature. METHODS: We searched PubMed, Web of Science, and EMBASE for studies up to March 10, 2024, examining the relationship between e-cigarette use and suicidal behaviors. Eligible studies included cross-sectional, longitudinal, retrospective, prospective, and case-control designs. Meta-analysis was performed to calculate pooled odds ratios (ORs). Newcastle Ottawa scale was used to assess the quality of studies. R software (V 4.3) was used to perform the meta-analysis. RESULTS: Our analysis included fourteen studies, predominantly from the US and Korea, with participants ranging from 1,151 to 255,887. The meta-analysis identified a significant association between e-cigarette use and an increased risk of suicidal ideation (OR = 1.489, 95% CI: 1.357 to 1.621), suicide attempts (OR = 2.497, 95% CI: 1.999 to 3.996), and suicidal planning (OR = 2.310, 95% CI: 1.810 to 2.810). Heterogeneity was noted among the studies. CONCLUSION: E-cigarette use is significantly associated with the risk of suicidal behaviors, particularly among adolescents. The findings underscore the necessity for caution in endorsing e-cigarettes as a safer smoking alternative and call for more extensive research to understand the underlying mechanisms. Public health strategies should be developed to address and mitigate the risks of suicidal behaviors among e-cigarette users.

Patterns and perceptions of vaping among adults living in social housing: a representative survey in Great Britain, 2023.

BACKGROUND: Vaping products are effective for helping people to stop smoking and may therefore offer a potential means to reduce high rates of smoking in socioeconomically disadvantaged groups. This study aimed to examine current patterns and perceptions of vaping among people living in social housing in Great Britain compared with those living in other housing types. METHODS: Data were from the Smoking Toolkit Study; a nationally-representative survey conducted in 2023 (n = 23,245). Logistic regression tested cross-sectional associations between living in social (vs. other) housing and current vaping among adults; vaping frequency, device type, nicotine concentration, and source of purchase among current vapers; use of vaping products as a smoking cessation aid among past-year smokers who tried to quit; and harm perceptions of vaping products relative to cigarettes among current smokers. RESULTS: Current vaping prevalence was twice as high among adults living in social housing (19.4%) compared with those in other housing types (10.4%; OR = 2.07, 95%CI = 1.84-2.33). This was partly explained by differences in sociodemographic characteristics and smoking status; after adjustment, the odds of being a current vaper were 33% higher (ORadj=1.33, 95%CI = 1.14-1.54). Among vapers, there were no notable differences by housing tenure in vaping frequency, main device type used, usual nicotine concentration, usual source of purchase, or use as a smoking cessation aid. However, current smokers living in social housing were more likely to think vaping is more harmful than cigarettes (31.6% vs. 21.8%; ORadj=1.61, 95%CI = 1.30-1.99). CONCLUSIONS: In Great Britain, adults who live in social housing are more likely to vape than those who live in other housing types, even after accounting for their younger age and higher smoking rates. However, misperceptions about the relative harms of vaping products and tobacco are common among smokers living in social housing. Interventions addressing these misperceptions could help encourage more people living in social housing to switch from smoking to vaping and reduce smoking-related health inequalities. PRE-REGISTRATION: The study protocol and analysis plan were pre-registered on Open Science Framework (https://osf.io/n3mvs/).

Public Perception of the Tobacco 21 Amendment on Twitter in the United States: Observational Study.

BACKGROUND: Following the signing of the Tobacco 21 Amendment (T21) in December 2019 to raise the minimum legal age for the sale of tobacco products from 18 to 21 years in the United States, there is a need to monitor public responses and potential unintended consequences. Social media platforms, such as Twitter (subsequently rebranded as X), can provide rich data on public perceptions. OBJECTIVE: This study contributes to the literature using Twitter data to assess the knowledge and beliefs of T21. METHODS: Twitter data were collected from November 2019 to February 2021 using the Twitter streaming application programming interface with keywords related to vaping or e-cigarettes, such as "vape," "ecig," etc. The temporal trend of the T21 discussion on Twitter was examined using the mean number of daily T21-related tweets. Inductive methods were used to manually code the tweets into different sentiment groups (positive, neutral, and negative) based on the attitude expressed toward the policy by 3 coders with high interrater reliability. Topics discussed were examined within each sentiment group through theme analyses. RESULTS: Among the collected 3197 tweets, 2169 tweets were related to T21, of which 444 tweets (20.5%) showed a positive attitude, 736 (33.9%) showed a negative attitude, and 989 (45.6%) showed a neutral attitude. The temporal trend showed a clear peak in the number of tweets around January 2020, following the enactment of this legislation. For positive tweets, the most frequent topics were "avoidance of further regulation" (120/444, 27%), "Enforce T21" (110/444, 24.8%), and "health benefits" (81/444, 18.2%). For negative tweets, the most frequent topics were "general disagreement or frustration" (207/736, 28.1%) and "will still use tobacco" (188/736, 25.5%). Neutral tweets were primarily "public service announcements (PSA) or news posts" (782/989, 79.1%). CONCLUSIONS: Overall, we find that one-third of tweets displayed a negative attitude toward T21 during the study period. Many were frustrated with T21 and reported that underage consumers could still obtain products. Social media data provide a timely opportunity to monitor public perceptions and responses to regulatory actions. Continued monitoring can inform enforcement efforts and potential unintended consequences of T21.

Trajectories of polysubstance use: Are past-year internalizing and externalizing problems associated with trajectories of polysubstance use over time?

OBJECTIVE: Polysubstance use among adults has been a public health concern in the U.S. and is associated with adverse consequences. This study aimed to identify the longitudinal trajectory of polysubstance use and test whether internalizing and externalizing problems predict it. METHODS: Data of adults aged 18 and older (N = 15076) were extracted from the Waves 1-5 Population Assessment of Tobacco and Health Study (2013-2019). Group-Based Trajectory Modeling was performed to identify the trajectory of polysubstance use. Examined substances included use of cigarettes, e-cigarettes, excessive alcohol, cannabis, painkillers, and cocaine in past 30 days from all waves. Weighted multinomial logistic regressions were conducted to investigate the associations between internalizing and externalizing problems and the trajectory of polysubstance use, controlling for demographic variables. RESULTS: Five trajectory groups were identified: (1) No to minimal polysubstance use risk (45.6 %); (2) Polysubstance use-low risk (10.7 %); (3) Cigarette-leading polysubstance use-high risk (23.5 %); (4) Cigarette-cannabis co-leading polysubstance use-high risk (12.3 %); and (5) Cannabis-leading polysubstance use-high risk (7.8 %). Compared with Group 1, higher internalizing problems predicted the membership of Group 3 [Relative risk ratio (RRR) range: 1.07-1.17] and Group 4 (RRR range: 1.04-1.21). Compared with Group 1, higher externalizing problems predicted the membership of Group 5 (RRR range: 1.01-1.10). CONCLUSIONS: Prevention efforts should consider internalizing problems and associated trajectories of high-risk polysubstance use (e.g., cigarette-leading and cigarette-cannabis co-leading) as well as externalizing problems and associated trajectories of high-risk polysubstance use (e.g., cannabis-leading), when designing interventions to prevent polysubstance use.

My friends made me do it: Peer influences and different types of vaping in adolescence.

Vaping is one of the most common forms of substance use among adolescents. Social influences play a key role in the decision to use substances and frequency of use during adolescence, and vaping is no exception. Using a sample of 891 adolescents across two time points (Mage = 15.1 and Mage = 17.2) in this pre-registered study, we explored whether the frequency of vaping nicotine and the frequency of vaping marijuana at age 17 were related to concurrent reports of resistance to peer influence (RPI), perceptions of friends vaping, and perceptions of classmates vaping. Then, we investigated whether resistance to peer influence reported at age 15 was similarly related to age 17 vaping of both substances. Higher RPI at both ages 15 and 17 was associated with a higher probability of abstaining from vaping both substances but was not related to the frequency of vaping among those who vaped. Perceiving that a higher proportion of friends - but not classmates - vaped was associated with a lower probability of abstaining and a greater frequency of vaping among those who vape (for both substances). Higher RPI had an attenuating effect on the relation between perceptions of vaping among peers and an adolescent's own vaping behavior, but that differed by age and peer group (e.g., friends vs. classmates). Overestimation about the prevalence of classmate vaping may have played a role in the findings, but our results suggest that interventions to strengthen peer resistance across adolescence are warranted.

Depression, anxiety, stress, and current e-cigarette use: Results from the Truth Longitudinal Cohort of youth and young adults (2022-2023).

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 (N = 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.

Differentiating the associations of passive and active social media use with e-cigarette use among U.S. youth.

PURPOSE: The impacts of passive (i.e., browsing) versus active (i.e., engagement) use of social media on e-cigarette use among youth have been understudied in existing literature. This study examines how passive and active use of social media are differentially associated with e-cigarette use among youth and how risk perceptions mediate these associations. METHODS: Pooled data from the 2021 and 2022 National Youth Tobacco Survey (N=48,704, aged 11-19) were used. Weighted structural equation models were employed to estimate the associations between passive and active social media use and youth e-cigarette use. RESULTS: Both passive and active social media use were associated with higher odds and more days of e-cigarette use among youth. E-cigarette risk perceptions mediated the associations between active use and both the likelihood of ever using e-cigarettes and the number of days of use. Risk perceptions mediated the association between active, but not passive, use and the number of days of e-cigarette use. Compared to passive use, active use was overall associated with higher odds and more days of youth e-cigarette use. DISCUSSION: The findings suggest that public health efforts should distinguish between passive and active social media use when designing and executing interventions. Attention and efforts should also be directed towards understanding the distinct indirect effects of passive and active social media use through risk perceptions. These findings advance our theoretical understanding of the role of different types of social media use and offer significant practical insights for interventions.

Quitting on TikTok: Effects of Message Themes, Frames, and Sources on Engagement with Vaping Cessation Videos.

This study examined how message themes, frames, and sources in vaping cessation videos on TikTok influenced positive (i.e. likes, shares, positive comments regarding quitting vaping) and negative video engagement (i.e. negative comments regarding quitting vaping). TikTok videos (N = 412) with the hashtags #quitvaping and #quittingvaping were analyzed. Aspect-based sentiment analysis was conducted to evaluate the sentiment of quitting vaping in comments. Negative binomial regression models predicted video engagement from six message themes, ratios of gain and loss frames, and message sources. Themes related to nicotine addiction and physical health effectively drove positive engagement, such as likes and shares. The theme of harmful chemicals elicited mixed responses, generating both positive and negative comments regarding quitting vaping. Videos with a higher ratio of gain frames led to more positive engagement, including likes, shares, and positive comments regarding quitting vaping. Sources with informal expertise (e.g. those who have successfully quit vaping) and current e-cigarette users were more effective in engaging the TikTok audience than non-expert and non-user sources. These findings provide insights into messaging strategies that can effectively engage TikTok audiences and encourage vaping cessation.

Association of conventional and electronic cigarette use with suicidality in Chinese adolescents: The moderating effect of sex and school type.

BACKGROUND: To estimate the prevalence of lifetime e-cigarette use and explore the association between lifetime conventional and electronic cigarette use with suicidality among Chinese adolescents, focusing on sex and school-type differences. METHODS: A total of 22,509 students from 432 classes in 80 schools were recruited in Guangdong Province using a multistage, stratified cluster, random sampling method in 2021. Self-report questionnaires were used to collect information. Multivariable logistic regression models were performed and stratification analysis was conducted. All analyses were weighted and adjusted for the complex survey design. RESULTS: The weighted prevalence of lifetime e-cigarette use among adolescents in Guangdong Province was 8.7 % (4.3 % were dual users and 4.4 % were e-cigarette-only users) and 2.6 % were conventional-cigarette-only users. Lifetime e-cigarette-only users (AOR [Adjusted OR] =1.46, 95 % CI = 1.21-1.76), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.58-2.46) and dual users (AOR = 1.67, 95 % CI = 1.38-2.02) were at a higher risk of suicidal ideation than non-users. Lifetime e-cigarette-only users (AOR = 2.03, 95 % CI = 1.53-2.70), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.42-2.73), and dual users (AOR = 2.76, 95 % CI = 2.10-3.61) had a significantly higher risk of suicide attempts than non-users. After further analysis stratified by sex and school type, the associations of lifetime cigarette use patterns with suicidality slightly varied. LIMITATION: The cross-sectional study design and self-report information. CONCLUSION: The prevalence of e-cigarettes among Chinese adolescents is concerning. Lifetime conventional and e-cigarette use were associated with suicidality among Chinese adolescents, with sex and school type moderating these associations. Targeted measures to restrict cigarette use, including new tobacco product (e-cigarette) use, among adolescents are warranted.

A multiple behaviour temporal network analysis for health behaviours during COVID-19.

OBJECTIVES: The aim of this study was to examine the temporal dynamics of multiple health behaviours (physical activity, alcohol consumption, healthy eating, cigarette consumption, recreational drug use, vaping), and pandemic-related health behaviours (e.g., hand washing, physical distancing) using network psychometrics. DESIGN: The International COVID-19 Awareness and Responses Evaluation (iCARE) study is an international multi-wave observational cohort study of public awareness, attitudes, and responses to public health policies implemented to reduce the spread of COVID-19 on people around the world. A sub-sample of longitudinal data from Canadians (n = 254) was analysed across four waves (February-July 2020). METHODS: We used temporal network models to fit temporal networks, contemporaneous networks, and between-subject networks from items within the iCARE survey. RESULTS: Positive temporal associations were observed between physical activity and healthy eating, and a bidirectional relationship was evident between outdoor mask use and vaping. A contemporaneous network revealed positive associations between consumption behaviours (vaping, cigarette use, alcohol use, and recreational drug use), and negative associations between physical activity and drug use, and healthy eating and cigarette use. CONCLUSIONS: Health behaviours are interconnected and can be modelled as networks or behavioural systems. The application of temporal network analysis to the study of multiple health behaviours is well suited to address key research questions in the field such as 'how do multiple health behaviours co-vary with one another over time'. Future research using time series data and measuring affective and cognitive mediators of behaviour, in addition to health behaviours, has the potential to contribute valuable hypothesis-generating insights.

Do Acculturative Gap Conflicts Impact Parenting Practices and Youth E-Cigarette Use? Tests of Moderated Mediation.

BACKGROUND: Latino/a youth are at increased risk of electronic (e)-cigarette or electronic nicotine delivery systems (ENDS) use; thus, identifying factors impacting initiation is critical. Parenting practices reflecting warmth (e.g., relationship quality) and control (e.g., parental monitoring) and substance use-specific parenting (e.g., reactions to use, parenting self-efficacy) may influence youth substance use. For Latino/a youth, tensions from intergenerational acculturative differences are linked to substance use. We investigated ENDS use-specific parenting as a mediator between general parenting and youth ENDS use, examining whether acculturative gap conflict moderated the association between general and ENDS use-specific parenting. We expected mediation among families experiencing low acculturative gap conflicts. METHOD:  Data were analyzed over two waves from a predominantly White and Latino/a sample of caregiver-child dyads (N = 143) who identified with a culture in addition to or distinct from American. Youth (Mage = 14.9 years, SD = 0.67; 62.9% female) reported relationship quality, parental monitoring, caregiver ENDS attitudes and reactions, acculturative gap conflicts, and ENDS use. Caregivers reported on ENDS use-specific parenting self-efficacy. Two moderated multiple mediator regression models (i.e., relationship quality, parental monitoring) were estimated. RESULTS:  Among youth reporting low and mean levels of acculturative gap conflict, ENDS use-specific parenting self-efficacy mediated the association between relationship quality and reduced ENDS use. There was no evidence for an interaction in the parental monitoring model. CONCLUSIONS:  In families experiencing low levels of acculturative gap conflict, relationship quality may impact ENDS use through caregivers' confidence in their ability to prevent child ENDS use.

E-Cigarette Use in Adults.

This JAMA Insights explores the adverse effects and health outcomes of e-cigarettes vs combusted cigarettes and the effectiveness of using e-cigarettes as a smoking cessation aid among US adults.

Vaping in Youth.

This JAMA Insights reviews the health effects of vaping among youth in the US and current recommendations for screening and treatment.

Suicidal Thoughts and Behaviors Among US Adolescents: The Cumulative Effects of Polysubstance Use Behaviors.

Background: The linkage between substance use and youth suicidality is less developed due to the predominant focus on certain types of substances (e.g., alcohol consumption, prescription opioid misuse). This study examines polysubstance use and its mutual impact on suicidal thoughts and behaviors among US adolescents. Methods: Data from 2019 Youth Risk Behavior Survey were utilized. Associations between the concurrent use of five substances (cigarette, e-cigarette, alcohol, marijuana, and prescription opioid) and suicidality (suicidal thoughts, suicide plans, and suicide attempts) were measured by logistic regression models. The combined effect of polysubstance use on suicidality was further assessed by structural equation modeling. Results: About two in five (42.1%) adolescents used at least one type of substances in the past month and one in seven (13.5%) used three or more types concurrently (polysubstance use). Adolescents with polysubstance use behaviors were three to five times more likely to experience suicidal thoughts (OR=3.8, p < 0.05), make a suicide plan (OR=3.5, p < 0.05), or attempt suicide (OR=4.6, p < 0.05) than non-users. In the final structural model, polysubstance use and suicidality were significantly correlated with each other (ß=0.37, p < 0.05). Collectively, polysubstance use explained about 14% of variance in youth suicidality. Conclusions: Polysubstance use shows a significant impact on youth suicidality. School-based health centers and educational programs are recommended to reduce substance use and suicidal behaviors among adolescents. Accessible mental health services and targeted treatments are needed for polysubstance users to mitigate their risk of suicide.