Family influences on the use of e-cigarettes

Parent's awareness of, and influence on, their 14-17-year-old child's vaping and smoking behaviours; an analysis of 3242 parent-child pairs in Australia

BACKGROUND

Vaping by young people in Australia is a rapidly emerging public health issue. Evidence shows that parental behaviours and attitudes can play a key role in influencing adolescent behaviours. Considering the health harms of vaping and evidence that it can be a gateway to tobacco smoking for never-smokers, it is important to understand whether parents' smoking and vaping behaviours influence their teenage children's smoking and vaping behaviours.

METHODS

Online cross-sectional surveys as part of the Generation Vape study, conducted in Australia in 2021/2022, were used to assess parents' influence on, and awareness of, one of their 14-17-year-old child's vaping and smoking behaviours. Participants were 3242 parents and 3242 14-17-year-old teenage children.

RESULTS

The risk of vaping and smoking uptake among 14-17-year-old teenagers was 42% (p = 0.003) and 97% (p < 0.001) higher, respectively, if their parent was an ever-vaper. The risk of vaping and smoking uptake among teenagers was 81% (p < 0.001) and 159% (p < 0.001) higher, respectively, if their parent was an ever-smoker. Parents of teenagers who have not vaped were considerably better at correctly predicting this (97% correct) than parents of teenagers who have vaped (70% correct). Compared to parents, teenagers tended to have less agreement with statements suggesting vaping is unsafe or harmful, and more agreement with statements suggesting vaping is relatively safe.

CONCLUSIONS

Parental smoking and vaping behaviours are associated with those of their children. Hence, it is important that both tobacco and vaping control policies and interventions are designed to influence behaviours of all demographics, consistent with the evidence.

Predictors of Adolescents' Transition Through the Stages of Change for Quitting E-Cigarettes: Findings From the Population Assessment of Tobacco and Health Study

PURPOSE

To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change.

DESIGN

Prospective cohort study.

SETTING

United States.

SUBJECTS

We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4.

MEASURES

Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings.

ANALYSIS

Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables.

RESULTS

From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. Adolescents were less likely to progress in their stage of change if they perceived nicotine in e-cigarettes to be "not at all/slightly harmful" (AOR = .26 [95% CI: .25, .27], P < .001); reported important people's use of e-cigarettes (AOR = .18 [95% CI: .05, .65, P = .009); and "rarely" noticed e-cigarette health warnings (AOR = .28 [95% CI: .08, .98, P = .054).

CONCLUSION

Intervention efforts must target specific predictive factors that may help adolescents quit e-cigarettes.

Interventions to prevent or cease electronic cigarette use in children and adolescents

BACKGROUND

The prevalence of e-cigarette use has increased globally amongst children and adolescents in recent years. In response to the increasing prevalence and emerging evidence about the potential harms of e-cigarettes in children and adolescents, leading public health organisations have called for approaches to address increasing e-cigarette use. Whilst evaluations of approaches to reduce uptake and use regularly appear in the literature, the collective long-term benefit of these is currently unclear.

OBJECTIVES

The co-primary objectives of the review were to: (1) evaluate the effectiveness of interventions to prevent e-cigarette use in children and adolescents (aged 19 years and younger) with no prior use, relative to no intervention, waitlist control, usual practice, or an alternative intervention; and (2) evaluate the effectiveness of interventions to cease e-cigarette use in children and adolescents (aged 19 years and younger) reporting current use, relative to no intervention, waitlist control, usual practice, or an alternative intervention. Secondary objectives were to: (1) examine the effect of such interventions on child and adolescent use of other tobacco products (e.g. cigarettes, cigars types, and chewing tobacco); and (2) describe the unintended adverse effects of the intervention on individuals (e.g. physical or mental health of individuals), or on organisations (e.g. intervention displacement of key curricula or learning opportunities for school students) where such interventions are being implemented.

SEARCH METHODS

We searched CENTRAL, Ovid MEDLINE, Ovid Embase, Ovid PsycINFO, EBSCO CINAHL, and Clarivate Web of Science Core Collection from inception to 1 May 2023. Additionally, we searched two trial registry platforms (WHO International Clinical Trials Registry Platform; US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov), Google Scholar, and the reference lists of relevant systematic reviews. We contacted corresponding authors of articles identified as ongoing studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-RCTs, factorial RCTs, and stepped-wedge RCTs. To be eligible, the primary targets of the interventions must have been children and adolescents aged 19 years or younger. Interventions could have been conducted in any setting, including community, school, health services, or the home, and must have sought to influence children or adolescent (or both) e-cigarette use directly. Studies with a comparator of no intervention (i.e. control), waitlist control, usual practice, or an alternative intervention not targeting e-cigarette use were eligible. We included measures to assess the effectiveness of interventions to: prevent child and adolescent e-cigarette use (including measures of e-cigarette use amongst those who were never-users); and cease e-cigarette use (including measures of e-cigarette use amongst children and adolescents who were e-cigarette current-users). Measures of e-cigarette use included current-use (defined as use in the past 30 days) and ever-use (defined as any lifetime use).

DATA COLLECTION AND ANALYSIS

Two review authors independently screened the titles and abstracts of references, with any discrepancies resolved through consensus. Pairs of review authors independently assessed the full-text articles for inclusion in the review. We planned for two review authors to independently extract information from the included studies and assess risk of bias using the Cochrane RoB 2 tool. We planned to conduct multiple meta-analyses using a random-effects model to align with the co-primary objectives of the review. First, we planned to pool interventions to prevent child and adolescent e-cigarette use and conduct two analyses using the outcome measures of 'ever-use' and 'current-use'. Second, we planned to pool interventions to cease child and adolescent e-cigarette use and conduct one analysis using the outcome measure of 'current-use'. Where data were unsuitable for pooling in meta-analyses, we planned to conduct a narrative synthesis using vote-counting approaches and to follow the Cochrane Handbook for Systematic Reviews of Interventions and the Synthesis Without Meta-analysis (SWiM) guidelines.

MAIN RESULTS

The search of electronic databases identified 7141 citations, with a further 287 records identified from the search of trial registries and Google Scholar. Of the 110 studies (116 records) evaluated in full text, we considered 88 to be ineligible for inclusion for the following reasons: inappropriate outcome (27 studies); intervention (12 studies); study design (31 studies); and participants (18 studies). The remaining 22 studies (28 records) were identified as ongoing studies that may be eligible for inclusion in a future review update. We identified no studies with published data that were eligible for inclusion in the review.

AUTHORS' CONCLUSIONS

We identified no RCTs that met the inclusion criteria for the review, and as such, there is no evidence available from RCTs to assess the potential impact of interventions targeting children and adolescent e-cigarette use, tobacco use, or any unintended adverse effects. Evidence from studies employing other trial designs (e.g. non-randomised) may exist; however, such studies were not eligible for inclusion in the review. Evidence from studies using non-randomised designs should be examined to guide actions to prevent or cease e-cigarette use. This is a living systematic review. We search for new evidence every month and update the review when we identify relevant new evidence. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Factors Associated With E-Cigarette Quitting Behavior Among Adolescents in the United States: A Prospective Observational Study

PURPOSE

This prospective observational study examined the association of socioecological factors with quitting behavior among US adolescents who exclusively use electronic cigarettes (e-cigarettes).

METHODS

We used data from past 30-day adolescent exclusive e-cigarette users (n = 243) participating in Wave 3 of the Population Assessment of Tobacco and Health study, who were then followed-up with approximately 12 months later for Wave 4. Weighted unadjusted and adjusted multivariate logistic regression models and structural equation modeling were performed to analyze the data.

RESULTS

Adolescents were significantly less likely to quit e-cigarettes if they perceived that nicotine in e-cigarettes was "slightly/somewhat harmful" to health (adjusted odds ratio [aOR] = 0.38; 95% confidence interval [CI]: 0.16-0.90, p = .02). Similarly, adolescents who reported that someone else in their home owned an e-cigarette (aOR = 0.43 [95% CI: 0.19-0.94], p = .03) or important people in their life used e-cigarettes (aOR = 0.45 [95% CI: 0.21-0.95], p = .03) were significantly less likely to quit e-cigarettes. The structural equation modeling showed a direct significant relationship of individual-level (b = 0.206, p = .02) and interpersonal-level factors (b = 0.170, p = .04) with e-cigarette quitting behavior.

DISCUSSION

Our findings suggest that individual-level (harm perception) and interpersonal-level (e-cigarette use at home and by important people) factors may play a significant role in e-cigarette quitting behavior among US adolescents.

Differences in risk indicators associated with electronic cigarette use and tobacco smoking among adolescents and young people in Nigeria

Introduction

The study determined the proportion of adolescents and young persons (AYP) in Nigeria who use e-cigarettes and smoke tobacco; and identified factors associated with the use of e-cigarettes and tobacco smoking.

Methods

AYP aged 11–23 years were recruited to participate in an online survey. The independent variables were respondents’ health, HIV and COVID-19 status and their level of anxiety. The dependent variables were tobacco smoking and use of e-cigarettes. Binary logistic regression was used to determine the associations between the dependent and independent variables after adjusting for confounders (age, sex, educational level and vulnerability status).

Results

There were 2206 respondents of which 568 (19.8%) used e-cigarettes and 787 (27.4%) smoked tobacco. Individual (18–23 years, having a health condition, high anxiety and being vulnerable) and familial (having father, mother, siblings or friends who used e-cigarettes) factors were associated with both the use of e-cigarettes and tobacco smoking. Tobacco smoking was a significant risk indicator for e-cigarettes use and vice versa. COVID-19 infection (adjusted OR, AOR: 3.602) and living with HIV (AOR: 1.898) were associated with higher odds of using e-cigarettes. Males (AOR: 1.577), 15–17 years (AOR: 6.621) and moderate anxiety (AOR: 2.500) were associated with higher odds of tobacco smoking. AYP with health conditions had higher odds of using e-cigarettes (AOR: 1.514) while AYP with moderate anxiety had lower odds of using e-cigarettes (AOR: 0.627).

Conclusion

The proportion of AYP in Nigeria who used e-cigarettes and smoked tobacco is high. Public health interventions that target the common risk factors for e-cigarettes use and tobacco smoking among AYP in Nigeria are urgently needed.

Employing the theory of planned behaviour to design an e-cigarette education resource for use in secondary schools

Background

An extended version of the theory of planned behaviour (TPB) was used to inform the design of a framework for an educational resource around e-cigarette use in young people.

Methods

A sequential exploratory design was employed. In Phase 1, elicited behavioural, normative and control beliefs, via 7 focus groups with 51 participants, aged 11–16 years, identified salient beliefs around e-cigarette use. These were used to construct a questionnaire administered to 1511 young people aged 11–16 years, which determined predictors of e-cigarette use and ever use. In Phase 2, sociodemographic variables, e-cigarette knowledge, access, use, marketing and purchasing of e-cigarettes and smoking behaviour were also gathered. The composite findings from Phase 1 and 2 informed the design of a post primary educational resource in Phase 3 around e-cigarette use.

Results

Current e-cigarette use was 4%, with almost 23% reporting ever use, suggesting current use is stable but experimentation may be increasing in this cohort. Sociodemographic variables, knowledge of e-cigarettes, smoking behaviour and TPB variables (direct and indirect measures of attitudes, subjective norm, and perceived behavioural control) accounted for 17% of the variance in current e-cigarette use, with higher intentions to use e-cigarettes within the next month, having the strongest impact on use (p < 0.001), followed by self-efficacy (p = 0.016). Sociodemographic and TPB variables accounted for 65% of the variance in intentions to use e-cigarettes in the next month; current e-cigarette use (p < 0.001), more positive attitudes (p < 0.001), stronger social influence (p < 0.001), higher self-efficacy (p < 0.001), higher control beliefs (p < 0.001) and greater motivation to use e-cigarettes (p < 0.001) were the main predictors of intentions. Phases 1 and 2 informed the mapping of key predictors of intentions and use of e-cigarettes onto the Theoretical Domains Framework, which identified appropriate intervention functions and behaviour change techniques.

Conclusions

This paper is the first to bridge the theoretical-practice gap in an area of significant public health importance through the development of a framework for a novel theory driven school-based educational resource aimed at reducing experimentation and uptake of e-cigarette use in young people.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12674-3.

Adolescent Susceptibility to E-Cigarettes: An Update From the 2018 National Youth Tobacco Survey

PURPOSE

Examine correlates of e-cigarette susceptibility among adolescents.

DESIGN

Secondary data analyses using the 2018 National Youth Tobacco Survey, excluding participants under 12 and over 17.

SETTING

United States middle and high schools.

SUBJECTS

Never e-cigarette users (n = 12,439) ages 12-17.

MEASURES

Relationships between e-cigarette susceptibility and age, sex, race/ethnicity, ever tobacco use, perceived ease of purchasing tobacco products, perceived harm, relative addictiveness, household use of e-cigarettes/tobacco were examined.

ANALYSIS

Odds of susceptibility were modeled with weighted multivariable logistic regressions.

RESULTS

Thirty-five percent (unweighted n = 4,436) of adolescents were susceptible to e-cigarettes. Adolescents who were female (aOR = 1.2), Hispanic (aOR = 1.3), perceived e-cigarettes as anything less than "a lot of harm" (aOR = 2.2-4.9) and "easy" to purchase (aOR = 1.4), had ever used combustible tobacco (aOR = 2.9), or reported household use of e-cigarettes (aOR = 1.5) were susceptible. Non-Hispanic black respondents (vs. non-Hispanic white; aOR = 0.72) had significantly lower odds of susceptibility to e-cigarettes.

CONCLUSION

In the 2018 NYTS adolescent sample, perceptions of harm and ease of tobacco product purchase appear to be significantly related to higher odds of e-cigarette susceptibility, in addition to other demographic factors. Longitudinal data, particularly cohort data following adolescents from susceptible to actual or no use, are needed to assess predictors of e-cigarette use initiation.

Do Parents Still Matter? The Impact of Parents and Peers on Adolescent Electronic Cigarette Use

PURPOSE

Vaping among adolescents has reached epidemic levels. Identifying factors associated with electronic cigarette (e-cigarette) use initiation could inform prevention programming. This study examined whether parental attitudes toward e-cigarettes impacted adolescent e-cigarette use intentions, positive expectancies of use, and actual use when accounting for adolescent attitudes and peer norms. Parents' negative attitudes toward e-cigarettes were expected to reduce teen e-cigarette use intentions. Low e-cigarette use intentions were expected to mediate the association between parental attitudes and teen e-cigarette use. Peer norms were expected to be associated with positive expectancies. Positive expectancies were expected to mediate the association between peer norms and teen e-cigarette use.

METHODS

A sample of e-cigarette naïve adolescents (n = 176, aged 14-17 years, 52% female, 82% Latinx/Hispanic) and their parents were assessed. Parents and adolescents rated harm associated with e-cigarette use. Adolescents reported their perceptions of peer e-cigarette norms, intentions, positive expectancies, and e-cigarette use. Cross-sectional models were estimated for e-cigarette use intentions and positive expectancies. Prospective mediation models (n = 142) characterized pathways to e-cigarette use.

RESULTS

Parents' attitudes toward e-cigarettes were associated with weaker intentions. Intentions mediated the association between parental attitudes and e-cigarette use. Adolescents reporting favorable e-cigarette peer norms endorsed more positive expectancies. Positive expectancies did not mediate the association between peer norms and e-cigarette use.

CONCLUSIONS

Parents actively shape adolescent e-cigarette use even when accounting for peer norms and adolescent attitudes. Involving parents in prevention programming may help reduce vaping among teens. These associations should be examined with a larger and more diverse sample.

Social Learning, Social Bonds, Self-Control and Adolescent Nicotine Vaping

The aim of this study was to examine whether three theories of adolescent substance use-social learning, social bonding, and self-control-were useful for predicting adolescent nicotine vaping. Methods: The analysis utilized data on U.S. 8th and 10th grade students from the 2017 and 2018 Monitoring the Future (MTF) studies, repeated cross-sectional surveys that included 11,624 youth who responded to questions about past 12-month nicotine vaping. Measures from each of the three theories were used to predict the outcome using a zero-inflated negative binomial model. Results: The results demonstrated that variables from social learning and self-control theories were key predictors of nicotine vaping. Friends' substance use appeared as the most consequential predictor, followed by low self-control or higher risk-taking propensities. An interaction effect also suggested that friends' substance use had a stronger association with nicotine vaping among youth who reported higher self-control. Conclusions/Importance: The findings suggested that adolescent nicotine vaping is a consequence of social learning influences and low self-control. Future research should explore these and similar factors in more detail.

Risk Factors and Perceptions of E-Cigarette Use Among Selected Users in Johannesburg, South Africa

There is little scientific knowledge about e-cigarette use in South Africa. This study aimed to describe the risk factors and perceptions of selected Johannesburg-based users of e-cigarettes. A self-administered questionnaire was used to collect data from a convenient sample of 188 participants, of which 160 were males and 28 females. The survey results showed that participants used e-cigarettes at home (n = 28/ 14.8%), work (n = 76/ 40.4%), tertiary institutions (n = 50/ 26.5%) and in their vehicles (n = 24/ 12.7%), while (n = 96/ 51%) used the product in the presence of children. 57 participants (30.3%) started using e-cigarettes as a smoking cessation strategy, while 46 (24.4%) used it to manage smoking cravings. Most participants believed that e-cigarettes are addictive (n = 156/ 82.9%) and unhealthy (n = 139/ 73.9%). This study highlights the need and opportunity to improve public health action in the prevention and management of risks posed by e-cigarette products to users and non-users.

Ecological Exploration of Knowledge and Attitudes Towards Tobacco and E-Cigarettes Among Primary School Children, Teachers, and Parents in Wales: A Qualitative Study

Experimentation with e-cigarettes has grown rapidly among UK adolescents. To date, this topic has been primarily researched in secondary schools, with less understanding of development of attitudes and behaviours at an earlier age. This research reports qualitative data from interviews with pupils, parents, and teachers at 4 case study schools in Wales (N = 42). It draws on Bronfenbrenner's Ecological Systems Theory to consider how the intersection of systems surrounding primary school-age children and their interaction with these systems, shape knowledge, and attitudes towards e-cigarettes and tobacco. Findings indicate that consistent messaging on smoking from school and family was reflected in strong disapproval among pupils and clear understanding of harms. This was less evident for e-cigarettes, where messages were mixed and inconsistent between home and school, with concerns over what to tell children about e-cigarettes in light of mixed messages and absence of official guidance. Implications of findings for policy and teaching are discussed.

Timing of vape use among adolescents: Differences by family structure

BACKGROUND

The prevalence of adolescent e-cigarette (vape) use has increased significantly over the past several years. Given the risks associated with vape use, it is important to identify predictors of adolescent vape use onset.

PURPOSE

The primary aim was to examine the time to vape use among adolescents, as a function of parental marital status and living arrangements.

METHODS

A sample of 863 adolescents (M_age = 12.73, SD = 0.70; 52% girls; 61% non-Hispanic White) from public middle schools in the Northeast United States were asked about whether they vaped over the course of three years (fall 2016-spring 2019). Cox proportional hazards (PH) regression models were conducted to examine associations between parental divorce and the timing of vape use, gender differences in the association, and potential differences in the association as a function of living arrangements.

RESULTS

Findings indicated that adolescents with divorced parents at Time 1 vaped earlier, and were 51% more likely to vape than adolescents with married parents. There were no gender differences, or differences in timing among those with divorced parents as a function of living with a step-parent.

CONCLUSION

These findings highlight the importance of identifying familial risk factors associated with early vape use in adolescents.