Predictors of E-Cigarette Use Susceptibility-A Study of Young People from a Socio-Economically Disadvantaged Rural Area in Poland

Susceptibility to Electronic Cigarette and Consumption Patterns in Adolescents

The use of electronic cigarettes (ECs) is a major problem globally. Susceptibility and curiosity are important factors that develop prior to the onset of substance use, such as ECs, and are therefore considered as predictors. Both factors are used to obtain an extended index of susceptibility (ESIe-c), which allows the identification of adolescents who are at risk of starting to use these devices. The aim of this study was to determine the prevalence of EC consumption and to assess the association of possible predictors with susceptibility to use and experimentation with ECs among adolescents. A cross-sectional study was carried out in 377 adolescents (53.0% female). Participants were compared according to their experimentation with ECs. A total of 45.9% had already used electronic cigarettes, and 20.8% were current users. Among those who had not tried electronic cigarettes, 43.3% had a medium-high susceptibility to EC initiation. Consumption among close friends, receiving offers of consumption and alcohol consumption were associated with initiation. There was an inverse association between a medium susceptibility index electronic cigarette score and the consumption of cigarettes and positive affect; on the other hand, the lack of premeditation was associated with a higher susceptibility index score. Intrapersonal factors and social factors seem to influence the ESIe-c and onset of EC use, respectively. The main conclusion in this study is that susceptibility is influenced by intrapersonal factors such as affectivity and impulsivity through the lack of premeditation, and by social factors such as EC consumption by best friends.

Scalable Surveillance of E-Cigarette Products on Instagram and TikTok Using Computer Vision

INTRODUCTION

Instagram and TikTok, video-based social media platforms popular among adolescents, contain tobacco-related content despite the platforms' policies prohibiting substance-related posts. Prior research identified themes in e-cigarette-related social media posts using qualitative or text-based machine learning methods. We developed an image-based computer vision model to identify e-cigarette products in social media images and videos.

AIMS AND METHODS

We created a data set of 6999 Instagram images labeled for 8 object classes: mod or pod devices, e-juice containers, packaging boxes, nicotine warning labels, e-juice flavors, e-cigarette brand names, and smoke clouds. We trained a DyHead object detection model using a Swin-Large backbone, evaluated the model's performance on 20 Instagram and TikTok videos, and applied the model to 14 072 e-cigarette-related promotional TikTok videos (2019-2022; 10 276 485 frames).

RESULTS

The model achieved the following mean average precision scores on the image test set: e-juice container: 0.89; pod device: 0.67; mod device: 0.54; packaging box: 0.84; nicotine warning label: 0.86; e-cigarette brand name: 0.71; e-juice flavor name: 0.89; and smoke cloud: 0.46. The prevalence of pod devices in promotional TikTok videos increased by 15% from 2019 to 2022. The prevalence of e-juices increased by 33% from 2021 to 2022. The prevalence of e-juice flavor names and e-cigarette brand names increased by about 100% from 2019 to 2022.

CONCLUSIONS

Deep learning-based object detection technology enables automated analysis of visual posts on social media. Our computer vision model can detect the presence of e-cigarettes products in images and videos, providing valuable surveillance data for tobacco regulatory science (TRS).

IMPLICATIONS

Prior research identified themes in e-cigarette-related social media posts using qualitative or text-based machine learning methods. We developed an image-based computer vision model to identify e-cigarette products in social media images and videos. We trained a DyHead object detection model using a Swin-Large backbone, evaluated the model's performance on 20 Instagram and TikTok videos featuring at least two e-cigarette objects, and applied the model to 14 072 e-cigarette-related promotional TikTok videos (2019-2022; 10 276 485 frames). The deep learning model can be used for automated, scalable surveillance of image- and video-based e-cigarette-related promotional content on social media, providing valuable data for TRS. Social media platforms could use computer vision to identify tobacco-related imagery and remove it promptly, which could reduce adolescents' exposure to tobacco content online.

Susceptibility to e-cigarette use and associated factors in high school youth, Oklahoma Youth Tobacco Survey, 2021-2022

Introduction

Susceptibility predicts subsequent uptake of e-cigarettes (EC) by youth. This study identified factors associated with EC susceptibility among high school students who have never used a tobacco/nicotine product.

Methods

The Oklahoma Youth Tobacco Survey was administered to a random sample of 36 Oklahoma High Schools during the 2021-2022 school year (n = 1,220 participating students). Associations between EC susceptibility and covariates were identified using stepwise logistic regression for weighted survey data.

Results

More than one third of Oklahoma high school students who had never used tobacco or nicotine products (36.4%) were susceptible, and males had higher susceptibility than females (38.8 and 33.9%, respectively). In males, EC susceptibility was associated with race (Black, American Indian, and other were less susceptible), psychological distress (aOR = 2.4, 95% CI = 1.1, 4.8), disagreement that all tobacco products are dangerous (aOR = 3.1, 95% CI = 1.2, 7.9), and perception of little/no harm from secondhand vapor (aOR = 3.4, 95% CI = 2.1, 5.3). In females, identifying as gay, lesbian, or bisexual (aOR = 2.1, 95% CI = 1.1, 3.9), poor academic performance (aOR = 4.5, 95% CI = 1.6, 12.6), psychological distress (aOR = 2.6, 95% CI = 1.2, 5.5) and interacting with EC content on social media (aOR = 5.9, 95% CI = 1.9, 18.1) were associated with EC susceptibility.

Conclusion

Males and females had different patterns of susceptibility to EC use. Understanding groups of adolescents most susceptible to using nicotine products can help target prevention efforts at home, in schools, and within communities.

Association between Harmful and Addictive Perceptions of E-Cigarettes and E-Cigarette Use among Adolescents and Youth-A Systematic Review and Meta-Analysis

BACKGROUND

Recognising the association between the perceived risks of e-cigarettes and e-cigarette usage among youth is critical for planning effective prevention and intervention initiatives; thus, a systematic review and meta-analysis were performed.

METHODS

Fourteen databases were searched for eligible studies from the Inception of database until March 2022 to examine the effect estimates of the association between perceptions of harmfulness and addictiveness and overall e-cigarette usage among adolescents and youth.

RESULTS

The meta-analysis showed that in comparison to non-users, young people who were ever e-cigarette users were two times more likely to disagree that e-cigarettes are harmful (OR: 2.20, 95% CI: 1.41-3.43) and perceived e-cigarettes as less harmful than tobacco cigarettes (OR: 2.01, 95% CI 1.47-2.75). Youths who were ever e-cigarette users were also 2.3 and 1.8 times more likely to perceive e-cigarettes as less addictive (OR: 2.28, 95% CI: 1.81-2.88) or perceive e-cigarettes as more addictive (OR: 1.82, 95% CI: 1.22-2.73) than tobacco cigarettes, as compared with non-users. The subgroup analysis reported that adolescents were more likely to believe that e-cigarettes are less harmful than tobacco cigarettes, while youth users perceived otherwise.

CONCLUSION

the risk perceptions of e-cigarettes are associated with e-cigarette use among adolescents and youth and could be the focus of health promotion to prevent and curb the uptake of e-cigarettes among young people.

Determinants of E-Cigarette and Cigarette Use among Youth and Young Adults in Poland-PolNicoYouth Study

Teen use of tobacco-related products is a significant public health concern. This study evaluated the predictors of e-cigarette use among secondary school students who were never cigarette smokers and ever cigarette smokers in Poland.

METHODS

This study examined a sample of Polish youths aged 13-19 (n = 19,241) attending 200 schools, 12 on average in each county. The study was a part of the National Health Program in Poland for 2016-2020. Logistic regression and multivariable logistic regression models were used to calculate crude and adjusted odds ratios.

RESULTS

Of all participants, 32.5% were ever cigarette users. Among the never cigarette users, 13.6% were deemed susceptible to e-cigarette use. Among the ever cigarette users, 60.6% were deemed susceptible to e-cigarette use. Of those susceptible to e-cigarette use, 68.2% were among the 32.5% ever cigarette users. The profile of e-cigarette use among never e-cigarette users also included: pocket money available per month (more than 150 PLN) (OR = 1.7; p = 0.001), 16-17 years old (OR = 1.9; p = 0.001), parental tobacco smoking and e-cigarette usage (OR = 2.0; p = 0.01 and OR = 1.7; p = 0.001 respectively), maternal secondary education (OR = 1.1; p = 0.04), and living in big cities >500,000 inhabitants (OR = 1.4; p = 0.04). E-cigarette users among ever cigarette users were similar to never cigarette users in their opinion that e-cigarette use is less harmful than traditional smoking (OR = 1.6; p = 0.0012) and living with both parents smoking cigarettes (OR = 1.3; p = 0.02). Additionally, the determinants were: female gender (OR = 1.5; p = 0.009) in the age group less than 15 years of age (OR = 1.3; p = 0.007).

CONCLUSIONS

The major determinant of e-cigarette use in this population was prior smoking. Additionally, the results revealed that fairly obvious predictors such as parental smoking and a belief in the less harmfulness of e-cigarette use are important determinants for smoking among never or ever e-cigarette users.

Association of Smoking Media Literacy with Vietnamese and South Korean Adolescents' Susceptibility to Smoking

Studies on how smoking media literacy (SML) is associated with susceptibility to smoking among adolescents in South Korea and Vietnam are scarce. Thus, we examined the association of SML with susceptibility to smoking among adolescents in these countries to initiate a collaborative global health program. In total, 460 adolescents (Vietnam: 277, South Korea: 183) aged 15-18 completed an online cross-sectional survey. SML was measured using the 15-item SML scale. Susceptibility to smoking was measured by three questions on future smoking and if offered a cigarette by a friend. A multiple logistic regression model explored the association of SML with susceptibility to smoking. The study revealed that higher SML was significantly associated with lower susceptibility to smoking among Vietnamese, but not South Korean adolescents. Further studies to identify pathways between other factors associated with SML and susceptibility to smoking are needed to develop culture-specific intervention strategies for smoking prevention.

Susceptibility to e-cigarette initiation among tobacco product naïve adolescents in Malaysia: Findings from the tobacco and e-cigarette survey among Malaysian adolescents (TECMA)

INTRODUCTION

Predicting susceptibility to e-cigarette (EC) initiation among adolescents is crucial to optimize preventive measures before the health risk behavior persists through adulthood. The identification of susceptible groups is needed in response to the surge of EC use. This study aimed to determine the prevalence and determinants associated with EC susceptibility among tobacco product naïve (never users of any single tobacco product) school-going adolescents in Malaysia.

METHODS

Data were derived from the Tobacco and EC Survey among Malaysians (TECMA), which recruited a total of 13162 school-going adolescents aged 10– 19 years from 138 randomly selected schools via a two-stage stratified cluster sampling design. A validated self-administered questionnaire adapted from the Global Youth Tobacco Survey was utilized as the study instrument. The data were analyzed using SPSS version 22.0 descriptively and with multivariable logistic regression to determine the associated factors of EC susceptibility.

RESULTS

About 15.7% of the tobacco naïve adolescents were susceptible to EC initiation, with the proportion of susceptibility significantly higher among males, mid-adolescents, rural adolescents, those reporting exposure to tobacco advertisement and those not taught in school about the danger of tobacco use. Multivariable logistic regression revealed that the male students (AOR=2.20; 95% CI: 1.86–2.59) from a rural locality (AOR=1.45; 95% CI: 1.23–1.71), those reporting no lessons on the danger of tobacco use at school (AOR=1.66; 95% CI: 1.39–1.99) and those exposed to tobacco advertisement (AOR=1.67; 95% CI: 1.07–2.61), were more susceptible to EC initiation, while no significant association was found between secondhand smoke exposure and EC susceptibility.

CONCLUSIONS

Comprehensive EC preventive strategies are critically needed together with the implementation of targeted, gender, and culturally impressionable interventions. In addition, future studies should focus on the evaluation of the impacts of the preventive and control efforts to ensure their effectiveness in preventing EC initiation among Malaysian adolescents.

Social media and E-cigarette use among US youth: Longitudinal evidence on the role of online advertisement exposure and risk perception

OBJECTIVES

Previous studies revealed a link between social media use and e-cigarette use among U.S. youth, but less is known about the mechanisms through which they interconnect. This study examined how social media and e-cigarette use are connected through online advertisement exposure and risk perception of e-cigarettes among U.S. youth.

METHODS

Youth aged 12-17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2-4 (2014-2018) were included (N = 6,208). This study integrated the incidental exposure framework and the risk perception framework to guide study conceptualization and variable selection. Generalized structural equation modeling was performed to investigate the sequential mediation relationship between social media and e-cigarette use through online e-cigarette advertisement exposure and risk perception of e-cigarette use.

RESULTS

Youth respondents with more social media use were more likely to be exposed to e-cigarette advertisement at Wave 2 (OR = 1.13, p < 0.001), which led to lower e-cigarette risk perception at Wave 3 (β = -0.07, p < 0.001). Higher e-cigarette risk perception at Wave 3 resulted in lower likelihood of e-cigarette use at Wave 4 (OR = 0.57, p < 0.001). High social media use at Wave 2 was directly associated with high likelihood of e-cigarette use at Wave 4 (OR = 1.11, p < 0.001).

CONCLUSIONS

The results indicate that social media use is associated with increased e-cigarette use through online e-cigarette advertisement exposure and subsequently decreased e-cigarette risk perception among U.S. youth. Our findings underscore the importance of regulating online e-cigarette advertisement, with the emphasis of avoiding information that could twist youth's risk perception of e-cigarettes, which may in turn curtail youth e-cigarette use.

Tobacco and E-Cigarettes Point of Sale Advertising-Assessing Compliance with Tobacco Advertising, Promotion and Sponsorship Bans in Poland

The objective of this study was to evaluate compliance with the ban on tobacco and e-cigarette products advertising at point of sale (POS) before and after amendment of the Polish Tobacco Control Act. Data were collected, using an observation checklist, between March and October 2014 (n = 1450 POS) and between March and October 2019 (n = 1320 POS). Ban on tobacco and e-cigarette advertising at POS is commonly violated in Poland. In all POS, at least one form (including tobacco products display) of tobacco advertising was found in 2014 and in 2019. The most common types of tobacco advertising in 2014 were change and counter mats (61%, 42%), posters (38%) and illuminated banners (37%). In 2019, a decrease in promoting tobacco products in the form of mats (p ≤ 0.001), posters and boards (p < 0.001) but an increase in video screens were observed (from 8% in 2014 to 30% in 2019; p < 0.001). A significant increase in the presence of any e-cigarette ads, including e-cigarette displays, illuminated banners and video screens, was observed in 2019 as compared to 2014 (90% vs. 30%; 89% vs. 20%; 31% vs. 2%; 31% vs. 0.5%; p < 0.001). The minimum age or a no-sale-to-minors signs for tobacco and e-cigarettes were not sufficiently placed in POS to comply with the Act. Poor enforcement of the ban on tobacco and e-cigarette ads at POS provides the tobacco industry with an opportunity to promote their products using unlawful ways. There is a need to educate the public, retailers and civil society with respect to their legal responsibilities and roles.

Electronic Cigarette Use and Its Relationship with Smoking and Alcohol and Illicit Drug Consumption among Romanian University Students

Background and objectives: This study assesses electronic cigarette (e-cigarette) use and its relationship with smoking and alcohol and illicit drug consumption among Romanian university students. Materials and methods: A cross sectional study using anonymous questionnaire was performed in 2017 among 400 university students from Cluj-Napoca, Romania. Results: 95.5% of the participants had heard about e-cigarettes and 43.7% of these had tried e-cigarettes during their lifetime, while 8.9% declared using cigarettes in the previous month (one out of five students who had tried them during their lifetime). Half of the students had smoked during their lifetime and one third had smoked in the previous month. Eighty-five percent of participants had experimented alcohol intoxication during their lifetime and 45% had done so in the previous month, while illicit drug use during their lifetime and the previous month was 34% and 9.5%, respectively. The results of the linear regression analyses show a positive correlation between e-cigarette use, smoking, experimentation with alcohol intoxication, and the use of illicit drugs. Conclusions: Future studies as well as educational activities should address the complex relationship between e-cigarette and other substance use among Romanian youth.

Sex- and age-dependent differences in nicotine susceptibility evoked by developmental exposure to tobacco smoke and/or ethanol in mice

Either tobacco smoking or alcohol consumption during pregnancy sex-selectively increases susceptibility to drugs of abuse later in life. Considering that pregnant smoking women are frequently intermittent consumers of alcoholic beverages, here, we investigated whether a short-term ethanol exposure restricted to the brain growth spurt period when combined with chronic developmental exposure to tobacco smoke aggravates susceptibility to nicotine in adolescent and adult mice. Swiss male and female mice were exposed to tobacco smoke (SMK; research cigarettes 3R4F, whole-body exposure, 8 h/daily) or ambient air during the gestational period and until the tenth postnatal day (PN). Ethanol (ETOH, 2 g/Kg, 25%, i.p.) or saline was injected in the pups every other day from PN2 to PN10. There were no significant differences in cotinine (nicotine metabolite) and ethanol serum levels among SMK, ETOH and SMK + ETOH groups. During adolescence (PN30) and adulthood (PN90), nicotine (NIC, 0.5 mg/Kg) susceptibility was evaluated in the conditioned place preference and open field tests. NIC impact was more evident in females: SMK, ETOH and SMK + ETOH adolescent females were equally more susceptible to nicotine-induced place preference than control animals. At adulthood, SMK and SMK + ETOH adult females exhibited a nicotine-evoked hyperlocomotor profile in the open field, with a stronger effect in the SMK + ETOH group. Our results indicate that ethanol exposure during the brain growth spurt, when combined to developmental exposure to tobacco smoke, increases nicotine susceptibility with stronger effects in adult females. This result represents a worsened outcome from the early developmental dual exposure and may predispose nicotine use/abuse later in life.

Exploring Associations between Susceptibility to the Use of Electronic Nicotine Delivery Systems and E-Cigarette Use among School-Going Adolescents in Rural Appalachia

Electronic nicotine delivery systems (ENDS) use, including e-cigarettes, has surpassed the use of conventional tobacco products. Emerging research suggests that susceptibility to e-cigarette use is associated with actual use among adolescents. However, few studies exist involving adolescents in high-risk, rural, socioeconomically distressed environments. This study examines susceptibility to and subsequent usage in school-going adolescents in a rural distressed county in Appalachian Tennessee using data from an online survey (N = 399). Relying on bivariate analyses and logistic regression, this study finds that while 30.6% of adolescents are ever e-cigarette users, 15.5% are current users. Approximately one in three adolescents are susceptible to e-cigarettes use, and susceptibility is associated with lower odds of being a current e-cigarette user (OR = 0.03; CI: 0.01–0.12; p < 0.00). The age of tobacco use initiation was significantly associated with decreased current use of e-cigarettes (OR = 0.89; CI: 0.83–0.0.97; p < 0.01). Overall, the results of this exploratory study suggest the need for larger studies to identify unique and generalizable factors that predispose adolescents in this high-risk rural, socioeconomically disadvantaged region to ENDS use. Nevertheless, this study offers insight into e-cigarette usage among U.S adolescents in rural, socioeconomically disadvantaged environments and provides a foundation for a closer examination of this vulnerable population.

Predictors of Counselling Related to a Healthy Lifestyle Carried Out by a General Practitioner

The aim of the study was to assess whether general practitioners (GPs) monitor and evaluate the health behavior of their patients in the field of a diet, physical activity, and weight control, and whether they provide appropriate counselling as part of this evaluation. Predictors of those activities among physicians were also determined. The cross-sectional study was conducted in the Piotrkowski district among 200 GPs. The questionnaire covered socio-demographic data and lifestyle characteristics of the physicians, their role as healthy lifestyle providers, and whether they assess lifestyle characteristics of their patients and perform healthy lifestyle counselling. More than 60% of the GPs did not evaluate lifestyle features during their patients’ examination. In total, 56% of the GPs provided healthy lifestyle recommendations among patients who have not been diagnosed with chronic lifestyle-related diseases but who do not follow healthy recommendations, and 73% of GPs provided recommendations to patients with chronic diseases related to lifestyle. The study showed that the chance to assess lifestyle characteristics of the patients was significantly higher for the GPs who believed that they were obliged to do so (OR = 6.5; p = 0.002). The chance to recommend a healthy lifestyle among patients who have not been diagnosed with chronic lifestyle-related diseases but who do not follow healthy recommendations was 5.9 times higher among the GPs working in the public sector (p < 0.001) and 16.3 times higher for these who believed that they had sufficient knowledge to provide the advice (p = 0.02). The following predictors of providing a healthy lifestyle counselling among patients with diagnosed chronic lifestyle-related diseases were identified: conviction that a GPs is obligated to provide it (OR = 4.4; p = 0.02), sufficient knowledge (OR = 8.7; p = 0.01), and following health recommendations by themselves (OR = 3.9; p = 0.04). Conclusions: The identified predictors are crucial for the development of appropriate strategies aiming at increasing GPs’ involvement in preventive measures and consequently at improving the population’s health.