Tobacco cessation interventions for young people

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.

A Vaping Cessation Text Message Program for Adolescent E-Cigarette Users: A Randomized Clinical Trial

Importance

E-cigarettes are the most commonly used tobacco product among adolescents. Despite known harms of nicotine exposure among teens, there are no empirically tested vaping cessation interventions.

Objective

To compare the effectiveness of a text message program for nicotine vaping cessation among adolescents with assessment-only control.

Design, Setting, and Participants

A parallel, 2-group, double-blind, individually randomized clinical trial with follow-ups at 1 and 7 months after randomization was conducted from October 1, 2021, to October 18, 2023. Participants were recruited via social media ads; the intervention was delivered via text message; and assessments were completed online or by telephone. Eligible individuals were US residents aged 13 to 17 years who reported past 30-day e-cigarette use, were interested in quitting within 30 days, and owned a mobile phone with an active text message plan. To optimize study retention, all participants received monthly assessments via text message about e-cigarette use.

Interventions

Assessment-only controls (n = 744) received only study retention text messages. Intervention participants (n = 759) also received an automated, interactive text message program for vaping cessation that delivers cognitive and behavioral coping skills training and social support.

Main Outcomes and Measures

The primary outcome was self-reported 30-day point-prevalence abstinence from vaping at 7 months analyzed as intention-to-treat, with missingness coded as vaping.

Results

Among n = 1503 adolescents randomized, average age was 16.4 (SD, 0.8) years. The sample was 50.6% female, 42.1% male, and 7.4% nonbinary/other; 10.2% Black/African American, 62.6% White, 18.5% multiracial, and 8.7% another race; 16.2% Hispanic; 42.5% sexual minority; and 76.2% vaped within 30 minutes of waking. The 7-month follow-up rate was 70.8%. Point-prevalence abstinence rates were 37.8% (95% CI, 34.4%-41.3%) among intervention participants and 28.0% (95% CI, 24.9%-31.3%) among control participants (relative risk, 1.35 [95% CI, 1.17-1.57]; P < .001). No baseline variables moderated the treatment-outcome relationship. There was no evidence that adolescents who quit vaping transitioned to combustible tobacco products.

Conclusions and Relevance

A tailored, interactive text message intervention increased self-reported vaping cessation rates among adolescents recruited via social media channels.

Trial Registration

ClinicalTrials.gov Identifier: NCT04919590.

Factors Influencing the Use of Tobacco Among Youth in Low-Income, Lower-Middle-Income, and Upper-Middle-Income Countries: A Systematic Review

BACKGROUND

The use of tobacco is a significant global public health issue. According to the World Health Organization, tobacco use is a considerable risk factor for many diseases and causes more than 8 million deaths per year, with a disproportionate impact on low- and middle-income countries. Therefore, this systematic review was conducted to identify the factors influencing tobacco use among youth in low-income, lower-middle-income, and upper-middle-income countries. Study Design: A system review.

METHODS

The review followed the PRISMA guidelines, and the protocol was registered on PROSPERO (CRD42023430552). Several data sources were utilized, including PubMed, Scopus, ScienceDirect, MEDLINE, CINAHL, and ProQuest, and cross-sectional data from participants aged 15‒24 underwent investigation. Original full-text articles have been published between 2015 and 2023. Out of the 2892 studies, 20 were included in this review after two reviewers confirmed the eligibility criteria.

RESULTS

The average age of the participants was (mean±standard deviation: 19.45±1.686). Most studies were conducted in lower-middle and upper-middle-income countries. Frequently reported influences were at the individual and social levels, including demographic, economic, and psychological parameters, attitude and knowledge, individual behavioral factors, parental education, family member tobacco use, stressful life events, and social networks. At the environmental level, factors included secondhand smoke exposure, community context, media channels, and access to tobacco.

CONCLUSION

The findings demonstrated a significant association between youth tobacco use and individual-, social-, and environmental-level factors. Consequently, specific interventions targeting these factors should be deployed to mitigate youth tobacco use in various socioeconomic settings.

Process evaluation of a pragmatic feasibility trial on smokeless tobacco cessation intervention delivered in dental hospitals

BACKGROUND

Article 14 of the WHO 'Framework Convention on Tobacco Control' recommends, that all oral healthcare providers provide support for tobacco cessation, to all patients. Despite evidence on the effectiveness of tobacco cessation interventions in dental settings, implementation remains low in most high-burden countries like Pakistan. A pragmatic pilot trial of a dentist-delivered behavioural support intervention for smokeless tobacco (ST) cessation, was conducted in dental hospitals in Pakistan. This paper presents the findings of the process evaluation of the trial.

METHODS

A mixed-method process evaluation of a multi-centre randomised control pilot trial of dentist-delivered behavioural support intervention ST cessation was conducted. The intervention included three sessions namely: pre-quit, quit and post-quit sessions. The process evaluation involved: semi-structured interviews with trial participants (n = 26, of which dental patients were n = 13 and participating dentists were n = 13 conducted from June-August 2022); and fidelity assessment of audio recordings of the intervention sessions (n = 29). The framework approach was used to thematically analyse the interview data.

RESULTS

Overall the trial procedures were well accepted, however, young patients expressed uneasiness over revealing their ST use status. The intervention was received positively by dentists and patients. Dentists identified some challenges in delivering behavioural support to their patients. Of these, some were related to the contents of the intervention whereas, others were related to the logistics of delivering the intervention in a clinical setting (such as workload and space). Acceptability of the intervention resources was overall low amongst young patients as they did not take the intervention resources home due to fear of their family members finding out about their ST use. The intervention was successful in achieving the intended impact (in those who engaged with the intervention), i.e., change in the patients' ST use behaviour. Giving up ST with the aid of behavioural support also had an unintended negative effect i.e., the use of harmful substances (cannabis, cigarettes) to give up ST use. Patients' satisfaction with their dental treatment seemed to influence the intervention outcome.

CONCLUSION

While there are many variables to consider, but for the participants of this study, behavioural support for abstinence delivered through dentists during routine dental care, appears to be an acceptable and practical approach in helping patients give up ST use, in a country like Pakistan, where negligible support is offered to ST users.

Factors Associated With Successful E-Cigarette Cessation Among a Convenience Sample of Adult Users

Background: A growing body of literature suggests that many people who use e-cigarettes become dependent and have difficulty quitting. Most people who use e-cigarettes have interest in quitting, yet there is currently a lack of evidence to inform interventions for e-cigarette cessation. Objective: The purpose of this study was to identify factors associated with successful e-cigarette quit attempts among a large sample of people who use e-cigarettes. Methods: Participants (n=586) were people who use e-cigarettes who reported at least one lifetime attempt to quit their e-cigarette use. Adjusted logistic regression models were performed to examine differences in e-cigarette use characteristics and quit methods between people who currently use e-cigarettes and who quit e-cigarettes. Results: Most participants were people who currently use e-cigarettes and only 27.5% reported successfully quitting. Most participants (90.6%) used e-cigarettes that contained nicotine, and over half (54.0%) used closed-system e-cigarette devices with replaceable pre-filled pods or cartridges. The quit method most commonly used overall (63.1%) and for people who quit e-cigarettes (70.8%) was cold turkey. Past 30-day cigarette use and past 30-day other tobacco use was significantly associated with reduced odds of quitting, and there were no e-cigarette characteristics significantly associated with successful cessation. Nicotine replacement therapy was the only e-cigarette cessation method that was significantly associated with increased odds of quitting after adjusting for past 30-day cigarette and other tobacco use. Conclusions: These results suggests that cigarette use, other tobacco use, and quit method used may significantly influence the likelihood of e-cigarette cessation. Future research is needed to determine the effectiveness of interventions for e-cigarette cessation using nicotine replacement therapy.

Support for incentive-sensitization theory in adolescent ad libitum smokers using ecological momentary assessment

The incentive-sensitization theory (IST) has emerged as a potentially useful theory in explaining substance addiction. IST postulates that the prolonged use of a substance can alter neural systems that are often involved in incentive motivation and reward processes, leading to an increased "sensitization" to the substance and associated stimuli. However, this increased sensitization is thought to mediate only the individual's craving of the substance (e.g., their "wanting"), not their enjoyment of the substance (e.g., their "liking"), a process that may involve unconscious implicit changes in cognitive networks linked to specific substances. Consequently, IST may better explain the real-world dissonance reported for individuals who want to accomplish long-term substance cessation but fail to do so, a phenomenon that is common in adolescent smokers. Thus, the present study aimed to examine the principles of IST in a sample of 154 adolescent ad libitum smokers (Mage = 16.57, SDage = 1.12, 61.14% male) utilizing ecological momentary assessment. Data were analyzed utilizing a multilevel structural equation model examining changes in positive affect (PA), negative affect (NA), and stress from Time 1 (T1) and Time 2 (T2) as a function of smoking and tested the influence of implicit cognition (specifically, implicit attitudes about smoking [Implicit Association Test (IAT)]) on these associations. Consistent with the principles of IST, results found a modest significant negative association between smoking status at T1 and PA at T2 (B = -0.11, p = .047). This association was further moderated by IAT (B = -0.19, p = .029) and was particularly potentiated at high levels of IAT (B = -0.44, p < .001), compared to low (B = -0.05, p = .663) or mean levels of IAT (B = -0.25, p = .004). Findings from this study provide additional support to the principles underlying IST and indicate that, in adolescents, smoking may result in thwarted PA indicative of a transition from "liking" toward "wanting," and this is especially pronounced among those with stronger implicit smoking cognitions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

[Implementation of Tobacco Control Strategies in Psychiatric Institutions for Children and Adolescents: an Online Survey of Leading Staff Members]

OBJECTIVE

Tobacco control measures are relevant also in child and adolescent psychiatric institutions and their implementation in Germany will be assessed in this study.

METHODS

In an online survey, n=78 leading staff members responded to standardized questions assessing how smoking in patients was dealt in such institutions.

RESULTS

The majority of institutions (70-87%) had smoking bans in the psychiatric clinic buildings and premises. Depending on the type of psychiatric ward, exceptions were in place in the form of a designated smoking area (38%), smoking pavilion (19%), or when patients suffered from certain mental disorders (28%). Documentation of violations of the ban varied with the type of ward (30-79%), while in most cases violations led to consequences (84-93%) including confiscation of smoking utilities (42-63%) or a curfew (25-38%). Smoking cessation aids were reported by 78% of the institutions, most often as consultations (64%). Pharmacological treatments for smoking were provided in inpatient wards (71-83%). One in two institutions documented the result of cessation attempts (54%). Smoking-related working groups (14%) or the use of standardized diagnostic instruments (0-4%) were much less frequently reported.

DISCUSSION

We provide a first look at tobacco control policy measures in child and adolescent psychiatric institutions on a national scale. This allows us to derive future areas for tobacco control.

E-cigarette cessation interest and quit attempts among young adults reporting exclusive e-cigarette use or dual use with other tobacco products: How can we reach them?

INTRODUCTION

There is limited evidence to inform e-cigarette quitting interventions. This mixed-methods study examined: 1) e-cigarette and other tobacco product perceptions and cessation-related factors; and 2) potential behavioral intervention strategies among young adults reporting exclusive e-cigarette use or dual use with other tobacco products.

METHODS

We analyzed Fall 2020 survey data from 726 participants reporting past 6-month e-cigarette use (mean age=24.15 years, 51.1% female, 38.5% racial/ethnic minority) from 6 US metropolitan areas and Spring 2021 qualitative interview data from a subset (n=40), comparing tobacco-related perceptions and cessation-related factors among those reporting exclusive use versus dual use.

RESULTS

Among survey participants (35.5% exclusive e-cigarette use, 64.5% dual use), those reporting dual use indicated greater importance of quitting all tobacco or nicotine products (mean=5.28, SD=3.44 vs mean=4.65, SD=3.75, p=0.033), whereas those reporting exclusive use expressed greater confidence in quitting e-cigarettes (mean=7.59, SD=3.06 vs mean=7.08, SD=3.01, p=0.029) and all tobacco and nicotine products (mean=7.00, SD=3.16 vs mean=6.31, SD=3.13, p=0.008), as well as less favorable perceptions (i.e. more harmful to health and addictive, less socially acceptable) of cigarettes, cigars, and smokeless tobacco (p<0.05). Interview participants (50.0% exclusive e-cigarette use; 50.0% dual use) attributed previous failed e-cigarette quit attempts to their inability to cope with social influences, stress, and withdrawal symptoms. Although most expressed disinterest in quitting due to belief of eventually outgrowing e-cigarettes (among those reporting exclusive use) or unreadiness to abstain from nicotine (among those reporting dual use), many acknowledged the need for quitting interventions.

CONCLUSIONS

Young adult e-cigarette cessation interventions should target risk perceptions, cessation barriers, and social influences/support.

Mobile Phone-Based Interventions for Smoking Cessation Among Young People: Systematic Review and Meta-Analysis

Background

Mobile phone-based cessation interventions have emerged as a promising alternative for smoking cessation, while evidence of the efficacy of mobile phone-based smoking cessation programs among young people is mixed.

Objective

This study aimed to determine the efficacy of mobile phone-based interventions compared to usual practice or assessment-only controls on smoking cessation in young people.

Methods

In this systematic review and meta-analysis, we searched Cochrane Library, Embase, PubMed, and Web of Science on March 8, 2023. We included randomized controlled trials that examined the efficacy of mobile phone-based interventions on smoking cessation in young people (age ≤30 years). The risk of bias was assessed with Cochrane Risk of Bias 2.

Results

A total of 13 eligible studies, comprising 27,240 participants, were included in this analysis. The age range of the participants was between 16 and 30 years. Nine studies were SMS text messaging interventions, and 4 studies were app-based interventions. The duration of the smoking cessation intervention varied from 5 days to 6 months. The included studies were conducted in the following countries: the United States, China, Sweden, Canada, Switzerland, and Thailand. The meta-analysis revealed that SMS text messaging interventions significantly improved continuous abstinence rates compared to inactive control conditions (risk ratio [RR] 1.51, 95% CI 1.24-1.84). The subgroup analysis showed pooled RRs of 1.90 (95% CI 1.29-2.81), 1.64 (95% CI 1.23-2.18), and 1.35 (95% CI 1.04-1.76) for continuous abstinence at the 1-, 3-, and 6- month follow-up, respectively. Pooling across 7 studies, SMS text messaging interventions showed efficacy in promoting 7-day point prevalence abstinence (PPA), with an RR of 1.83 (95% CI 1.34-2.48). The subgroup analysis demonstrated a significant impact at the 1- and 3-month follow-ups, with pooled RRs of 1.72 (95% CI 1.13-2.63) and 2.54 (95% CI 2.05-3.14), respectively, compared to inactive control conditions. However, at the 6-month follow-up, the efficacy of SMS text messaging interventions in promoting 7-day PPA was not statistically significant (RR 1.45, 95% CI 0.92-2.28). In contrast, app-based interventions did not show significant efficacy in promoting continuous abstinence or 7-day PPA. However, it is important to note that the evidence for app-based interventions was limited.

Conclusions

SMS text messaging-based smoking cessation interventions compared to inactive controls were associated with abstinence among young people and could be considered a viable option for smoking cessation in this population. More research is needed on smoking cessation apps, especially apps that target young people. Future research should focus on identifying the most effective mobile phone-based cessation approaches and on developing strategies to increase their uptake and intention.

Nationwide experiences with youth-targeted smoking and nicotine product cessation

INTRODUCTION

Most adolescent and young adult (youth) smokers and users of novel nicotine products wish to quit. Little is known, at a population level, about youth cessation activities, and the counselor's experiences in working with youth smoking and nicotine product cessation.

METHODS

A questionnaire was mailed to all 98 municipalities in Denmark on 31 October 2022. Youths were defined as those aged 16-25 years. The participation rate was 96% (n=94). Simple descriptive statistics were performed.

RESULTS

This survey explored youth-targeted smoking and nicotine product cessation activities and ex-periences from municipality counselors across the whole nation. Overall, 60% of the Danish municipal counselors had low/very low/no personal experience with youth cessation interventions, 89% found it dif-ficult to work with youth counseling, 90% found it difficult to recruit youth to nicotine cessation services, and only 25% of the active municipalities were described as highly experienced. A higher percentage of the highly experienced municipalities reported that they share the responsibility of recruitment to cessation services with schools, counsel youths in separate groups from adults, and have good experiences with online counseling.

CONCLUSIONS

This Danish nationwide survey showed that even in a country with very well-organized and free-of-charge cessation counseling programs, very few municipalities give assistance to youth, and most find it difficult to work with youth. Cessation services have been designed for adult smokers and seem to have failed to meet the needs of young smokers and users of novel nicotine products, at least in Denmark. There is an urgent need for research on how to effectively recruit youth to cessation services, and what works to help youth quit.

Monitoring Cigarette Smoking and Relapse in Young Adults With and Without Remote Biochemical Verification: Randomized Brief Cessation Study

BACKGROUND

Technological advancements to study young adult smoking, relapse, and to deliver interventions remotely offer conceptual appeal, but the incorporation of technological enhancement must demonstrate benefit over traditional methods without adversely affecting outcomes. Further, integrating remote biochemical verification of smoking and abstinence may yield value in the confirmation of self-reported smoking, in addition to ecologically valid, real-time assessments.

OBJECTIVE

The goal of this study was to evaluate the impact of remote biochemical verification on 24-hour self-reported smoking and biochemical verification agreement, retention, compliance with remote sessions, and abstinence during a brief, 5-week cessation attempt and relapse monitoring phase.

METHODS

Participants (N=39; aged 18-25 years; mean age 21.6, SD 2.1 years; n=22, 56% male; n=29, 74% White) who smoked cigarettes daily engaged in a 5-week cessation and monitoring study (including a 48-hour quit attempt and provision of tobacco treatment in the form of nicotine replacement therapy, brief cessation counseling, and financial incentives for abstinence during the 2-day quit attempt only). Smoking (cigarettes per day) was self-reported through ecological momentary assessment (EMA) procedures, and participants were randomized to either (1) the inclusion of remote biochemical verification (EMA + remote carbon monoxide [rCO]) 2× per day or (2) in-person, weekly CO (wCO). Groups were compared on the following outcomes: (1) agreement in self-reported smoking and breath carbon monoxide (CO) at common study time points, (2) EMA session compliance, (3) retention in study procedures, and (4) abstinence from smoking during the 2-day quit attempt and at the end of the 5-week study.

RESULTS

No significant differences were demonstrated between the rCO group and the wCO (weekly in-person study visit) group on agreement between 24-hour self-reported smoking and breath CO (moderate to poor), compliance with remote sessions, or retention, though these outcomes numerically favored the wCO group. Abstinence was numerically higher in the wCO group after the 2-day quit attempt and significantly different at the end of treatment (day 35), favoring the wCO group.

CONCLUSIONS

Though study results should be interpreted with caution given the small sample size, findings suggest that the inclusion of rCO breath added to EMA compared to EMA with weekly, in-person CO collection in young adults did not yield benefit and may have even adversely affected outcomes. Our results suggest that technological advancements may improve data accuracy through objective measurement but may also introduce barriers and burdens and could result in higher rates of missing data. The inclusion of technology to inform smoking cessation research and intervention delivery among young adults should consider (1) the research question and necessity of biochemical verification and then (2) how to seamlessly incorporate monitoring into personalized and dynamic systems to avoid the added burden and detrimental effects to compliance and honesty in self-report.

Systematic review: interventions to quit tobacco products for young adults

BACKGROUND

Young adulthood is an important period for smoking cessation; however, there is limited evidence of smoking-cessation interventions for young adults. The aims of this study were to identify evidence-based smoking-cessation strategies for young adults, examine gaps in the literature regarding smoking cessation among young adults, and discuss methodological issues/challenges related to smoking-cessation studies for young adults.

METHODS

Studies tested interventions for smoking cessation among young adults (18 to 26 years old), excluding pilot studies. Five main search engines were used, including PubMed, the Cumulative Index of Nursing and Allied Health Literature (CINAHL), EMBASE, PsycINFO, and Web of Science. The search was conducted for articles published from January 2009 to December 2019. Intervention characteristics and cessation outcomes were reviewed, and methodological quality was evaluated.

RESULTS

A total of 14 articles met inclusion criteria, including randomized controlled studies and repeated cross-sectional studies. Interventions included the following: text messaging (4/14, 28.6%), social media use (2/14, 14.3%), web-or app-based intervention (2/14, 14.3%), telephone counseling (1/14, 7.1%), in-person counseling (3/14, 21.4%), pharmacological (1/14, 7.1%), and self-help booklet (1/14, 7.1%). The intervention duration and frequency of contact with participants differed and yielded varied outcomes.

CONCLUSIONS

Multiple interventions have been examined to aid young adults in achieving smoking cessation. While several approaches seem promising, at the present time, the published literature is inconclusive about the type of intervention that is most effective for young adults. Future studies should compare the relative effectiveness of these intervention modalities.

Different doses, durations and modes of delivery of nicotine replacement therapy for smoking cessation

BACKGROUND

Nicotine replacement therapy (NRT) aims to replace nicotine from cigarettes. This helps to reduce cravings and withdrawal symptoms, and ease the transition from cigarette smoking to complete abstinence. Although there is high-certainty evidence that NRT is effective for achieving long-term smoking abstinence, it is unclear whether different forms, doses, durations of treatment or timing of use impacts its effects.

OBJECTIVES

To determine the effectiveness and safety of different forms, deliveries, doses, durations and schedules of NRT, for achieving long-term smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register for papers mentioning NRT in the title, abstract or keywords, most recently in April 2022.

SELECTION CRITERIA

We included randomised trials in people motivated to quit, comparing one type of NRT use with another. We excluded studies that did not assess cessation as an outcome, with follow-up of fewer than six months, and with additional intervention components not matched between arms. Separate reviews cover studies comparing NRT to control, or to other pharmacotherapies.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. We measured smoking abstinence after at least six months, using the most rigorous definition available. We extracted data on cardiac adverse events (AEs), serious adverse events (SAEs) and study withdrawals due to treatment.  MAIN RESULTS: We identified 68 completed studies with 43,327 participants, five of which are new to this update. Most completed studies recruited adults either from the community or from healthcare clinics. We judged 28 of the 68 studies to be at high risk of bias. Restricting the analysis only to those studies at low or unclear risk of bias did not significantly alter results for any comparisons apart from the preloading comparison, which tested the effect of using NRT prior to quit day whilst still smoking.  There is high-certainty evidence that combination NRT (fast-acting form plus patch) results in higher long-term quit rates than single form (risk ratio (RR) 1.27, 95% confidence interval (CI) 1.17 to 1.37; I2 = 12%; 16 studies, 12,169 participants). Moderate-certainty evidence, limited by imprecision, indicates that 42/44 mg patches are as effective as 21/22 mg (24-hour) patches (RR 1.09, 95% CI 0.93 to 1.29; I2 = 38%; 5 studies, 1655 participants), and that 21 mg patches are more effective than 14 mg (24-hour) patches (RR 1.48, 95% CI 1.06 to 2.08; 1 study, 537 participants). Moderate-certainty evidence, again limited by imprecision, also suggests a benefit of 25 mg over 15 mg (16-hour) patches, but the lower limit of the CI encompassed no difference (RR 1.19, 95% CI 1.00 to 1.41; I2 = 0%; 3 studies, 3446 participants). Nine studies tested the effect of using NRT prior to quit day (preloading) in comparison to using it from quit day onward. There was moderate-certainty evidence, limited by risk of bias, of a favourable effect of preloading on abstinence (RR 1.25, 95% CI 1.08 to 1.44; I2 = 0%; 9 studies, 4395 participants). High-certainty evidence from eight studies suggests that using either a form of fast-acting NRT or a nicotine patch results in similar long-term quit rates (RR 0.90, 95% CI 0.77 to 1.05; I2 = 0%; 8 studies, 3319 participants). We found no clear evidence of an effect of duration of nicotine patch use (low-certainty evidence); duration of combination NRT use (low- and very low-certainty evidence); or fast-acting NRT type (very low-certainty evidence). Cardiac AEs, SAEs and withdrawals due to treatment were all measured variably and infrequently across studies, resulting in low- or very low-certainty evidence for all comparisons. Most comparisons found no clear evidence of an effect on these outcomes, and rates were low overall. More withdrawals due to treatment were reported in people using nasal spray compared to patches in one study (RR 3.47, 95% CI 1.15 to 10.46; 1 study, 922 participants; very low-certainty evidence) and in people using 42/44 mg patches in comparison to 21/22 mg patches across two studies (RR 4.99, 95% CI 1.60 to 15.50; I2 = 0%; 2 studies, 544 participants; low-certainty evidence).

AUTHORS' CONCLUSIONS

There is high-certainty evidence that using combination NRT versus single-form NRT and 4 mg versus 2 mg nicotine gum can result in an increase in the chances of successfully stopping smoking. Due to imprecision, evidence was of moderate certainty for patch dose comparisons. There is some indication that the lower-dose nicotine patches and gum may be less effective than higher-dose products. Using a fast-acting form of NRT, such as gum or lozenge, resulted in similar quit rates to nicotine patches. There is moderate-certainty evidence that using NRT before quitting may improve quit rates versus using it from quit date only; however, further research is needed to ensure the robustness of this finding. Evidence for the comparative safety and tolerability of different types of NRT use is limited. New studies should ensure that AEs, SAEs and withdrawals due to treatment are reported.

Challenges and perspectives of tobacco cessation in special groups of patients and populations

During the first 2 years of the coronavirus disease 2019 pandemic, health systems worldwide were put under extreme pressure, and healthcare professionals had to manage unprecedented health crises as well as provide healthcare services to an increased number of patients. Therefore, public health policies with respect to smoking and education of the general population regarding the harmful effects of active and second-hand smoking may not have received adequate attention during this period. More specifically, certain subpopulations suffering from chronic diseases may not have received adequate information about the effects of smoking on the course and outcome of their disease; high-level, evidence-based pharmaceutical therapies; and the potential for follow-up. However, adequate education and awareness regarding short- and long-term health benefits from smoking cessation for the general population as well as special subgroups remains of utmost importance. Healthcare professionals should understand that it is only through high-quality evidence and results from independent studies that they will be able to provide their expertise and scientific knowledge concerning newer tobacco products and their effects on human health.

Evaluation of community-based health promotion interventions in children and adolescents in high-income countries: a scoping review on strategies and methods used

BACKGROUND

In recent decades, community-based interventions have been increasingly adopted in the field of health promotion and prevention. While their evaluation is relevant for health researchers, stakeholders and practitioners, conducting these evaluations is also challenging and there are no existing standards yet. The objective of this review is to scope peer-reviewed scientific publications on evaluation approaches used for community-based health promotion interventions. A special focus lies on children and adolescents' prevention.

METHODS

A scoping review of the scientific literature was conducted by searching three bibliographic databases (Medline, EMBASE, PsycINFO). The search strategy encompassed search terms based on the PCC (Population, Concept, Context) scheme. Out of 6,402 identified hits, 44 articles were included in this review.

RESULTS

Out of the 44 articles eligible for this scoping review, the majority reported on studies conducted in the USA (n = 28), the UK (n = 6), Canada (n = 4) and Australia (n = 2). One study each was reported from Belgium, Denmark, Germany and Scotland, respectively. The included studies described interventions that mostly focused on obesity prevention, healthy nutrition promotion or well-being of children and adolescents. Nineteen articles included more than one evaluation design (e.g., process or outcome evaluation). Therefore, in total we identified 65 study designs within the scope of this review. Outcome evaluations often included randomized controlled trials (RCTs; 34.2%) or specific forms of RCTs (cluster RCTs; 9.8%) or quasi-experimental designs (26.8%). Process evaluation was mainly used in cohort (54.2%) and cross-sectional studies (33.3%). Only few articles used established evaluation frameworks or research concepts as a basis for the evaluation.

CONCLUSION

Few studies presented comprehensive evaluation study protocols or approaches with different study designs in one paper. Therefore, holistic evaluation approaches were difficult to retrieve from the classical publication formats. However, these publications would be helpful to further guide public health evaluators, contribute to methodological discussions and to inform stakeholders in research and practice to make decisions based on evaluation results.

Effectiveness of including weight management in smoking cessation treatments: A meta-analysis of behavioral interventions

INTRODUCTION

The potential of weight gain after smoking cessation reduces the incentive to quit. This meta-analysis examines the efficacy of behavioral interventions for smoking cessation that also address post-cessation weight gain.

METHODS

Medline, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials were searched for randomized controlled trials on behavioral treatments targeting both health outcomes. Six separate meta-analyses were undertaken to assess treatment efficacy on smoking abstinence and weight outcomes at end of treatment (EOT), short-term, and long-term follow-up. Individual and treatment moderators were examined as well as methodological quality and publication bias of studies.

RESULTS

A total of 28 studies were included in the meta-analysis. There was a statistically significant positive impact of treatments addressing both targets on smoking outcomes at EOT (RR = 1.279, 95% CI: 1.096, 1.492, p = .002), but not at follow-ups. Age impacted on EOT abstinence rates Q (1) = 4.960, p = .026) while increasing the number of sessions significantly improved EOT abstinence rates (p = .020). There was no statistically significant impact of these treatments on weight at EOT (Hedges' g = -0.015, 95% CI: -.164, 0.135, p = .849) or follow-ups (short term: Hedges' g = 0.055, 95% CI: -0.060, 0.170, p = .347; long term: Hedges' g = -0.320, 95% CI: -.965, 0.325, p = .331). There were minimal impacts of publication bias, mostly related to sample size, meaning studies including small sample sizes revealed larger effect sizes on abstinence at EOT.

DISCUSSION

Addressing post-cessation weight management in treatments for smoking cessation significantly enhances tobacco abstinence at EOT though it was not found to have a lasting impact after treatment.

Identifying high school smokers likely to persist in smoking at age 31

OBJECTIVE

Quitting smoking by the mid-30 s conveys important health benefits. Yet, although many smokers attempt to quit, few succeed. Identification of the characteristics of adolescent smokers most likely to continue smoking between ages 30 and 40 could help target early cessation efforts. Our objectives in this study were to (i) describe the course of smoking in a population-based sample of high school smokers into their 20 s and 30 s, and (ii) identify distal predictors of past-year cigarette smoking at age 31.

METHODS

Data at ages 17 (in 11th grade), 20, 24 and 31 were drawn from a 20-year longitudinal study of students ages 12-13 at inception, from 10 high schools in Montréal, Canada. Associations between 11 smoking-related characteristics measured in 11th grade and past-year smoking at age 31 were estimated in multivariable logistic regression models.

RESULTS

Among 244 11th grade smokers (67.4% female; 41% daily smokers), past-year smoking was reported by 71% at age 20, 68% at age 24, and 52% at age 31. Only 12% reported abstinence at ages 20, 24 and 31. Females were less likely than males to smoke at age 31. Parental smoking while the smoker was in 11th grade, use of other tobacco products, longer time since smoking onset, weekly or daily smoking, monthly cigarette consumption, and perceived nicotine addiction predicted past-year smoking at age 31.

CONCLUSIONS

In addition to preventive interventions, cessation programs targeting novice smokers in high school as soon as they begin smoking, are warranted.

Global burden of cancers attributable to tobacco smoking, 1990-2019: an ecological study

Aim and background

Identifying risk factors for cancer initiation and progression is the cornerstone of the preventive approach to cancer management and control (EPMA J. 4(1):6, 2013). Tobacco smoking is a well-recognized risk factor for initiation and spread of several cancers. The predictive, preventive, and personalized medicine (PPPM) approach to cancer management and control focuses on smoking cessation as an essential cancer prevention strategy. Towards this end, this study examines the temporal patterns of cancer burden due to tobacco smoking in the last three decades at global, regional, and national levels.

Data and methods

The data pertaining to the burden of 16 cancers attributable to tobacco smoking at global, regional, and national levels were procured from the Global Burden of Disease 2019 Study. Two main indicators, deaths and disability-adjusted life years (DALYs), were used to describe the burden of cancers attributable to tobacco smoking. The socio-economic development of countries was measured using the socio-demographic index (SDI).

Results

Globally, deaths due to neoplasms caused by tobacco smoking increased from 1.5 million in 1990 to 2.5 million in 2019, whereas the age-standardized mortality rate (ASMR) decreased from 39.8/100,000 to 30.6/100,000 and the age-standardized DALY rate (ASDALR) decreased from 948.9/100,000 to 677.3/100,000 between 1990 and 2019. Males accounted for approximately 80% of global deaths and DALYs in 2019. Populous regions of Asia and a few regions of Europe account for the largest absolute burden, whereas countries in Europe and America have the highest age-standardized rates of cancers due to tobacco smoking. In 8 out of 21 regions, there were more than 100,000 deaths due to cancers attributable to tobacco smoking led by East Asia, followed by Western Europe in 2019. The regions of Sub-Saharan Africa (except southern region) had one of the lowest absolute counts of deaths, DALYs, and age-standardized rates. In 2019, tracheal, bronchus, and lung (TBL), esophageal, stomach, colorectal, and pancreatic cancer were the top 5 neoplasms attributable to tobacco smoking, with different burdens in regions as per their development status. The ASMR and ASDALR of neoplasms due to tobacco smoking were positively correlated with SDI, with pairwise correlation coefficient of 0.55 and 0.52, respectively.

Conclusion

As a preventive tool, tobacco smoking cessation has the biggest potential among all risk factors for preventing millions of cancer deaths every year. Cancer burden due to tobacco smoking is found to be higher in males and is positively associated with socio-economic development of countries. As tobacco smoking begins mostly at younger ages and the epidemic is unfolding in several parts of the world, more accelerated efforts are required towards tobacco cessation and preventing youth from entering this addiction. The PPPM approach to medicine suggests that not only personalized and precision medicine must be provided to cancer patients afflicted by tobacco smoking but personalized and targeted preventive solutions must be provided to prevent initiation and progression of smoking.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-022-00308-y.

Targeting Smoking Triggers: A Nurse-led Intervention for Tobacco Smoking Cessation

Background: Nursing interventions tailored to the smoking triggers in patients with non-communicable chronic diseases are essential. However, these interventions are scant due to the nature of factors associated with smoking cessation and the poor understanding of the effect of nurse-led intervention in Iraq.Purpose: This study aimed to determine the dominant smoking triggers and examine the effects of a tailored nursing intervention on smoking behavior in patients with non-communicable chronic diseases.Methods: Convenience samples of 128 patients with non-communicable chronic diseases, male and female patients, who were 18-70 years old, were recruited in this quasi-experimental, randomized comparative trial in the outpatient clinic in one major teaching hospital in Baghdad City, Iraq. The intervention included simple yet specific instructions that were given both orally and in written form to the study samples to enable them to manage their craving to smoke for 6 weeks. The smoking triggers were assessed using Why Do You Smoke questionnaire. Participants were randomly allocated to receive either the nurse-led intervention or standard care. Data were analyzed using descriptive statistics, independent sample t-tests, logistic regression, and two-sided tests.Results: Stress reduction was the dominant smoking trigger among subjects. The percentage of participants who were either able to completely quit smoking or reduce the number of smoked cigarettes per day (n=19, 29.7%; n=28, 43.8%, respectively) was greater in the study group than those in the control group (n=5, 5.8%; n=5, 5.8%, respectively). Study findings demonstrated significant differences in the inability to improve readiness to quit smoking between the intervention group and control group (p=0.000) at the sixth-week follow-up.Conclusion: The tailored nursing intervention was effective for a successful achievement of smoking reduction and cessation among patients with non-communicable chronic diseases, and a potential to equip nurses in clinical settings to support patients to achieve this is recommended.  

Delivering vaping cessation interventions to adolescents and young adults on Instagram: protocol for a randomized controlled trial

BACKGROUND

Adolescent and young adult use of electronic nicotine delivery systems ("vaping") has increased rapidly since 2018. There is a dearth of evidence-based vaping cessation interventions for this vulnerable population. Social media use is common among young people, and smoking cessation groups on social media have shown efficacy in the past. The objective of this study is to describe the protocol for a randomized controlled trial (RCT) testing the efficacy of an Instagram-based vaping cessation intervention for adolescents and young adults.

METHODS

Adolescents and young adults aged 13-21 residing in California who have vaped at least once per week in the past 30 days will be recruited through social media ads, community partners, and youth serving organizations. Participants will be randomly assigned to intervention or control conditions: the intervention group takes place on Instagram, where participants receive up to 3 posts per weekday for 25 days over 5 weeks; the control group will be directed to kickitca.org, a website offering links to chatline and texting cessation services operated by the California Smokers' Helpline. The primary outcome is biochemically verified 7-day point prevalence abstinence for nicotine vaping; secondary outcomes are vaping reduction by 50% or more, vaping quit attempts, readiness to quit vaping, confidence in ability to quit, desire to quit, commitment to abstinence, and use of evidence-based cessation strategies. Both the primary outcome and secondary outcomes will be assessed immediately, 3 months, and 6 months after the treatment.

DISCUSSION

This is the first RCT to test a vaping cessation intervention delivered through Instagram. If effective, it will be one of the first evidence-based interventions to address vaping among adolescents and young adults and add to the evidence base for social media interventions for this population.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04707911, registered on January 13, 2021.

[Summary PAPPS Childhood and Adolescence 2022]

Two important topics about children and adolescents in our primary care activity are presented in this update document: tobacco smoking prevention in adolescence and prophylaxis with vitamin K to prevent the hemorrhagic disease of the newborn.

Rationale, design, and methods for the development of a youth adapted Brief Tobacco Intervention plus automated text messaging for high school students

BACKGROUND

Tobacco use is increasing among youth in the U.S. The current study seeks to develop and pilot test a universal group-based Youth Brief Tobacco Intervention (Y-BTI) plus mobile phone automated text messaging (ATM) for 9th grade students to both prevent initiation among non-users and promote cessation among current users.

METHODS

This study will use a sequential, multi-method research design beginning with mixed methods formative work with 9th grade students to adapt the existing young adult Brief Tobacco Intervention (BTI) for youth and develop automated text messages. The formative work with students will identify salient themes and strategies for the interventions and optimal delivery schedules for the ATM intervention. The second phase of the study evaluates the Y-BTI and ATM through a pilot cluster randomized controlled trial that compares four treatment combinations: (1) Y-BTI + ATM, (2) Y-BTI alone, (3) ATM alone, or (4) standard of care. The Y-BTI is a single session, group-based intervention delivered in schools. The ATM intervention will provide comparable content to the Y-BTI but be delivered via text messaging 3-5 times per week for four weeks.

CONCLUSION

In order to curb the rise of tobacco use among youth, interventions that are easily implemented and disseminated need to be developed. We aim to build upon previous research by showing that a universal group-based Y-BTI and ATM are effective in reducing tobacco use among a 9th graders by preventing initiation among tobacco naïve youth and promoting cessation among current users.

Smartphone Application for Smoking Cessation (Quit with US): A Randomized Controlled Trial among Young Adult Light Smokers in Thailand

This study aimed to determine the efficacy of a smartphone application named Quit with US among young adult smokers. An open-label, parallel, 2-group, randomized controlled trial with a 12-week follow-up was conducted between March and November 2020 among undergraduate students (18 to 24 years) in Chiang Mai Province, Thailand. A total of 273 participants were assigned by simple randomization procedure to the Quit with US intervention group (n = 137) or the control group (n = 136). All participants received pharmacists’ smoking cessation counseling at baseline and follow-ups. In addition, the intervention group’s participants were advised to use Quit with US. The baseline and 12-week follow-up assessments were conducted at a study unit, whereas other follow-ups were completed over the telephone. The primary abstinence outcome was the exhaled CO concentration level (≤6 ppm) verified 7-day point prevalence abstinence. At baseline, the participants’ mean (standard deviation) age was 21.06 (1.62) years. Most identified as daily smokers (57.9%, n = 158), consumed ≤10 cigarettes daily (89.4%, n = 244), and expressed low level of nicotine dependence as measured by Heaviness of Smoking Index score (86.1%, n = 235). Regarding intention-to-treat analyses, participants in the Quit with US intervention group achieved significantly greater smoking abstinence rate than those in the control group (58.4% (80/137) vs. 30.9% (42/136), risk ratio = 1.89, 95% confidence intervals = 1.42 to 2.52, p < 0.001). In conclusion, Quit with US integrated with pharmacists’ smoking cessation counseling significantly enhanced smoking abstinence rates among young adult light smokers consuming ≤ 10 cigarettes daily.

Treatment use patterns in a large extended-treatment tobacco cessation program: predictors and cost implications

BACKGROUND

Tobacco dependence follows a chronic and relapsing course, but most treatment programmes are short. Extended care has been shown to improve outcomes. Examining use patterns for longer term programmes can quantify resource requirements and identify opportunities for improving retention.

METHODS

We analyse 38 094 primary care treatment episodes from a multisite smoking cessation programme in Ontario, Canada that provides free nicotine replacement therapy (NRT) and counselling. We calculate distributional measures of weeks of NRT used, clinical visits attended and total length of care. We then divide treatment courses into four exclusive categories and fit a multinomial logistic regression model to measure associations with participant characteristics, using multiple imputation to address missing data.

RESULTS

Time in treatment (median=50 days), visits (median=3) and weeks NRT used (median=8) were well below the maximum available. Of all programme enrolments, 28.8% (95% CI=28.3% to 29.3%) were single contacts, 31.3% (30.8% to 31.8%) lasted <12 weeks, 19.2% (18.8% to 19.6%) were ≥12 weeks with an 8-week interruption and 20.7% (20.3%-21.1%) were ≥12 weeks without interruptions. Care use was most strongly associated with participant age and whether the nicotine patch was dispensed at the first visit.

CONCLUSION

Treatment use results imply that the marginal costs of extending treatment programmes are relatively low. The prevalence of single contacts supports additional engagement efforts at the initial visit, while interruptions in care highlight the ability of longer term care to address relapse. Results show that use of the nicotine patch is associated with retention in care, and that improving engagement of younger patients should be a priority.

Association between e-cigarette use initiated after cigarette smoking and smoking abstinence: a cross-sectional study among adolescent established smokers in the USA

BACKGROUND

Recent years have seen a rapid increase in the popularity of electronic cigarettes (e-cigarettes) among adolescents in the USA. Evidence on their role in the continuation of or abstinence from cigarette smoking among young smokers remains scarce.

OBJECTIVE

To examine the relationship between e-cigarette use initiated after cigarette smoking and abstinence from cigarette smoking among US adolescent established smokers.

METHODS

The data were drawn from the 2015-2018 National Youth Tobacco Survey-a nationally representative survey of US middle and high school students. Multivariable logistic regression was used to assess the association between ever e-cigarette use and past 30-day abstinence from cigarette smoking. The analytical sample comprised ever established cigarette smokers with or without a history of e-cigarette use after smoking initiation.

RESULTS

Neither experimental (adjusted OR 0.67, 95% CI 0.39-1.14) nor prior established (adjusted OR 1.56, 95% CI 0.96-2.56) nor current established (adjusted OR 0.65, 95% CI 0.41-1.03) e-cigarette use was statistically significantly associated with subsequent abstinence from cigarette smoking among adolescent ever established smokers. These findings were largely consistent across sensitivity analyses using alternative key definitions, although experimental and current established e-cigarette use was significantly negatively associated with past 6-month abstinence.

CONCLUSIONS

We found no evidence that e-cigarette use among US adolescents already smoking cigarettes is associated with subsequent abstinence from cigarette smoking; there was some evidence of an inverse association among experimental and current established e-cigarette users. These findings could inform future regulatory and public health efforts regarding youth e-cigarette use and the reduction of youth cigarette smoking in the USA.

Mindfulness for smoking cessation

BACKGROUND

Mindfulness-based smoking cessation interventions may aid smoking cessation by teaching individuals to pay attention to, and work mindfully with, negative affective states, cravings, and other symptoms of nicotine withdrawal. Types of mindfulness-based interventions include mindfulness training, which involves training in meditation; acceptance and commitment therapy (ACT); distress tolerance training; and yoga.

OBJECTIVES

To assess the efficacy of mindfulness-based interventions for smoking cessation among people who smoke, and whether these interventions have an effect on mental health outcomes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's specialised register, CENTRAL, MEDLINE, Embase, PsycINFO, and trial registries to 15 April 2021. We also employed an automated search strategy, developed as part of the Human Behaviour Change Project, using Microsoft Academic.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and cluster-RCTs that compared a mindfulness-based intervention for smoking cessation with another smoking cessation programme or no treatment, and assessed smoking cessation at six months or longer. We excluded studies that solely recruited pregnant women.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. We measured smoking cessation at the longest time point, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of intervention and type of comparator. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models. We summarised mental health outcomes narratively.

MAIN RESULTS

We included 21 studies, with 8186 participants. Most recruited adults from the community, and the majority (15 studies) were conducted in the USA. We judged four of the studies to be at low risk of bias, nine at unclear risk, and eight at high risk. Mindfulness-based interventions varied considerably in design and content, as did comparators, therefore, we pooled small groups of relatively comparable studies. We did not detect a clear benefit or harm of mindfulness training interventions on quit rates compared with intensity-matched smoking cessation treatment (RR 0.99, 95% CI 0.67 to 1.46; I² = 0%; 3 studies, 542 participants; low-certainty evidence), less intensive smoking cessation treatment (RR 1.19, 95% CI 0.65 to 2.19; I² = 60%; 5 studies, 813 participants; very low-certainty evidence), or no treatment (RR 0.81, 95% CI 0.43 to 1.53; 1 study, 325 participants; low-certainty evidence). In each comparison, the 95% CI encompassed benefit (i.e. higher quit rates), harm (i.e. lower quit rates) and no difference. In one study of mindfulness-based relapse prevention, we did not detect a clear benefit or harm of the intervention over no treatment (RR 1.43, 95% CI 0.56 to 3.67; 86 participants; very low-certainty evidence). We did not detect a clear benefit or harm of ACT on quit rates compared with less intensive behavioural treatments, including nicotine replacement therapy alone (RR 1.27, 95% CI 0.53 to 3.02; 1 study, 102 participants; low-certainty evidence), brief advice (RR 1.27, 95% CI 0.59 to 2.75; 1 study, 144 participants; very low-certainty evidence), or less intensive ACT (RR 1.00, 95% CI 0.50 to 2.01; 1 study, 100 participants; low-certainty evidence). There was a high level of heterogeneity (I² = 82%) across studies comparing ACT with intensity-matched smoking cessation treatments, meaning it was not appropriate to report a pooled result. We did not detect a clear benefit or harm of distress tolerance training on quit rates compared with intensity-matched smoking cessation treatment (RR 0.87, 95% CI 0.26 to 2.98; 1 study, 69 participants; low-certainty evidence) or less intensive smoking cessation treatment (RR 1.63, 95% CI 0.33 to 8.08; 1 study, 49 participants; low-certainty evidence). We did not detect a clear benefit or harm of yoga on quit rates compared with intensity-matched smoking cessation treatment (RR 1.44, 95% CI 0.40 to 5.16; 1 study, 55 participants; very low-certainty evidence). Excluding studies at high risk of bias did not substantially alter the results, nor did using complete case data as opposed to using data from all participants randomised. Nine studies reported on changes in mental health and well-being, including depression, anxiety, perceived stress, and negative and positive affect. Variation in measures and methodological differences between studies meant we could not meta-analyse these data. One study found a greater reduction in perceived stress in participants who received a face-to-face mindfulness training programme versus an intensity-matched programme. However, the remaining eight studies found no clinically meaningful differences in mental health and well-being between participants who received mindfulness-based treatments and participants who received another treatment or no treatment (very low-certainty evidence).

AUTHORS' CONCLUSIONS

We did not detect a clear benefit of mindfulness-based smoking cessation interventions for increasing smoking quit rates or changing mental health and well-being. This was the case when compared with intensity-matched smoking cessation treatment, less intensive smoking cessation treatment, or no treatment. However, the evidence was of low and very low certainty due to risk of bias, inconsistency, and imprecision, meaning future evidence may very likely change our interpretation of the results. Further RCTs of mindfulness-based interventions for smoking cessation compared with active comparators are needed. There is also a need for more consistent reporting of mental health and well-being outcomes in studies of mindfulness-based interventions for smoking cessation.

Tobacco use, smoking identities and pathways into and out of smoking among young adults: a meta-ethnography

BACKGROUND

This meta-ethnography investigates how young adults describe their tobacco use, smoking identities and pathways into and out of regular smoking, to inform future smoking prevention and harm reduction interventions.

METHODS

Eight databases were systematically searched using keywords and indexed terms. Studies were included if they presented qualitative data from young adults aged 16-25 reporting smoking histories and/or smoking identities from countries culturally similar to the UK. A systematic and rigorous meta-ethnographic approach was employed, consistent with Noblit and Hare's methodology.

RESULTS

Thirty papers were included. Reasons stated for taking up smoking and becoming a smoker included alleviating stress, transforming one's identity, and coping with the transition to further education, employment or leaving home. Many used smoking to aid acceptance within new peer groups, particularly when alcohol was present. Smoking was also perceived as an act of resistance and a coping mechanism for those with marginalised identities. Barriers to quitting smoking included young adults' minimisation or denial of the health risks of smoking and not identifying with "being a smoker".

CONCLUSIONS

This meta-ethnography may provide a blueprint to inform the development of health and wellbeing interventions designed specifically for young adults. Smoking cessation interventions should be co-designed with young adults based on their perceived needs, resonant with their desire to quit in the future at key milestones. Harm reduction interventions should address the social aspect of addiction, without reinforcing stigma, particularly for those with marginalised identities.

School-based E-cigarette cessation programs: What do youth want?

PURPOSE

E-cigarette use is a problem among youth, yet few vaping cessation programs exist. This study aimed to understand what youth want in a school-based vaping cessation program to inform intervention development.

METHODS

We conducted 8 focus groups in Fall 2019 with Connecticut high school youth (N = 4-10 adolescents per group, total N = 62, 50% female). 6 groups were with youth who were current (i.e., past-month) e-cigarette users and 2 groups were with past users (i.e., lifetime users with no past-month use). Discussions focused on desired features and concerns about a vaping cessation program and analyses used an iterative inductive and deductive approach to identify qualitative themes. We also collected brief survey data assessing skills youth wanted to learn from a vaping cessation program.

RESULTS

Qualitative themes emerged indicating that youth want a vaping cessation program to include education about health effects of vaping, relatable personal anecdotes from others, and rewards for quitting. Potential concerns include confidentiality (e.g., ensuring teachers/coaches would not know about e-cigarette use), perceptions that youth may not want to participate due to lack of interest/apathy or embarrassment, and needing methods to verify abstinence to limit inaccurate reporting. The most frequently endorsed skills from the survey indicated youth want to learn ways to deal with stress (92%), relax (60%), and deal with poor concentration/attention (55%).

CONCLUSIONS

Findings identified key features to include and issues to address when developing school-based vaping cessation programs. Developing effective vaping cessation programs that appeal to youth is important for addressing youth e-cigarette use.

Meta-analysis of the effects of smoking prevention programs for young adolescents

Purpose

This meta-analysis aimed to analyze the effects of smoking prevention programs for young adolescents at early smoking stages to identify the appropriate characteristics of prevention programs for this population.

Methods

Searches of health-related databases and Google Scholar were conducted, and 23 randomized studies were included in the analysis. The main outcome variable was smoking behavior. The analysis was conducted using Comprehensive Meta-Analysis software (version 3.0).

Results

Smoking prevention programs significantly reduced smoking behaviors (OR=0.85, 95% CI=0.77-0.93). School-based programs (OR=0.79, 95% CI=0.75-0.83), programs by trained teachers or educators (OR=0.77, 95% CI=0.71-0.83), high-intensity programs (OR=0.82, 95% CI=0.75-0.91), and programs in an in-school setting (OR=0.82, 95% CI=0.74-0.90) had the most significant effect on reducing smoking behavior.

Conclusion

For young adolescents, smoking prevention programs are most effective when they are school-based or highintensity programs, and when conducted by teachers or educators with proper training. Further studies are required since there was insufficient research to explore the effect of web-based programs or family-centered programs on adolescent smokers.

Cardiovascular Health at Age 5 Years: Distribution, Determinants, and Association With Neurodevelopment

BACKGROUND

Early childhood may represent an opportune time to commence primordial prevention of cardiovascular disease (CVD, i.e., prevention of risk factors onset), but epidemiological evidence is scarce. We aimed to examine the distribution and parental and early life determinants of ideal cardiovascular health (CVH) in children up to 5 years and to compare the level of cognitive development between children with and without ideal CVH at age 5 years.

METHODS

Using data from the Etude sur les déterminants pré et post natals précoces du Développement psychomoteur et de la santé de l'Enfant (EDEN) study, a French population-based mother-child cohort study, CVH was examined in children at 5 years of age based on the American Heart Association CVH metrics (ideal body mass index, physical activity, diet, blood pressure, cholesterol and glucose levels, and passive smoking, considered in sensitivity analysis only). Children were categorized as having ideal (five to six ideal metrics) or non-ideal CVH (<5 ideal metrics). Intelligence quotient (IQ) at age 5 years was assessed using the French version of the Wechsler Preschool and Primary Scale of Intelligence.

RESULTS

Among the 566 children (55% boys), only 34% had ideal CVH. In fully adjusted logistic regression, boys compared to girls (OR = 1.77, 95% CI 1.13-2.78), children with intermediate (1.77, 1.05-2.98) or ideal (2.58, 1.38-4.82) behavioral CVH at age 3 years and children who spent < 30 min/day watching television (1.91, 1.09-3.34) at age 3 years were more likely to have ideal CVH at age 5 years. At age 5 years, there was a significant 2.98-point difference (95% CI 0.64-5.32) in IQ between children with and without ideal biological CVH after adjusting for confounders.

CONCLUSION

This study highlights that only a third of children aged 5 years had ideal CVH and identified modifiable determinants of ideal CVH and is suggestive of an association between CVH and neurodevelopment at a young age.

Efficacy of a group-based brief tobacco intervention among young adults aged 18-20 years in the US Air Force

INTRODUCTION

Most smokers begin using tobacco before the age of 25 years, making it important to reduce tobacco use during adolescence and early adulthood. Rates of use are historically higher among military personnel. While 'Tobacco 21' made it illegal for US retailers to sell tobacco to those aged <21 years, the policy did not address cessation for current youth and young adult tobacco users. Additionally, there is limited research on cessation interventions among young adults under 21 years. The current study evaluated the efficacy of a group-based Brief Tobacco Intervention (BTI) among US Air Force trainees, who are predominantly aged 18-20 years and directly impacted by Tobacco 21 legislation.

METHODS

Participants were 2969 US Air Force Trainees from April 2017 through January 2018 cluster randomized to three conditions: 1) BTI + Airman's Guide to Remaining Tobacco Free (AG), 2) AG alone, and 3) the National Cancer Institute's Clearing the Air (CTA) pamphlet. To assess the efficacy of the interventions among people aged 18-20 years, a domain analysis (<21 years, n=2117; and ≥21 years, n=852) of a multinomial logistic regression model was run.

RESULTS

Mono tobacco users aged <21 years at baseline who received the BTI+AG had higher odds of quitting tobacco at 3 months (OR=2.13; 95% CI: 1.02-4.46). Dual and poly users aged <21 years at baseline who received the BTI+AG intervention had higher odds of reducing the number of tobacco products used at 3 months (OR=2.94; 95% CI: 1.03-8.37).

CONCLUSIONS

The BTI was effective for people aged 18-20 years. The current study offers insight into components of interventions that might be successful in helping this age group decrease tobacco use.

Keeping Pace with Adolescent Asthma: A Practical Approach to Optimizing Care

Known for their pre-occupation with body image, self-identity creation, peer acceptance, and risk-taking behaviors, adolescents with asthma face unique challenges. Asthma is a heterogeneous disease and accurate diagnosis requires assessment through detailed clinical history, examination, and objective tests. Diagnostic challenges exist as many adolescents can present with asthma-like symptoms but do not respond to asthma treatment and risk being mis-diagnosed. Under-recognition of asthma symptoms and denial of disease severity must also be addressed. The over-reliance on short-acting beta-agonists in the absence of anti-inflammatory therapy for asthma is now deemed unsafe. Adolescents with mild asthma benefit from symptom-driven treatment with combination inhaled corticosteroids (ICS) and long-acting beta-agonist (LABA) on an as-required basis. For those with moderate-to-persistent asthma requiring daily controller therapy, maintenance and reliever therapy using the same ICS-LABA controller simplifies treatment regimes, while serving to reduce exacerbation risk. A developmentally staged approach based on factors affecting asthma control in early, middle, and late adolescence enables better understanding of the individual's therapeutic needs. Biological, psychological, and social factors help formulate a risk assessment profile in adolescents with difficult-to-treat and severe asthma. Smoking increases risks of developing asthma symptoms, lung function deterioration, and asthma exacerbations. Morbidity associated with e-cigarettes or vaping calls for robust efforts towards smoking and vaping cessation and abstinence. As adolescents progress from child-centered to adult-oriented care, coordination and planning are required to improve their self-efficacy to ready them for transition. Frequent flare-ups of asthma can delay academic attainment and adversely affect social and physical development. In tandem with healthcare providers, community and schools can link up to help shoulder this burden, optimizing care for adolescents with asthma.

Has the distribution of smoking across young adult transition milestones changed over the past 20 years? Evidence from the 1970 British Cohort Study (1996) and Next Steps (2015-16)

Introduction

Transitions into work and family life during young adulthood exacerbate differences in the progression of smoking over the life-course. Few have considered how changes in smoking and the transition to adulthood in the past two decades have influenced these relationships over time.

Methods

We compared the distribution of smoking at ages 25–26 across transition milestones among 3764 men and 4568 women in the 1970 British Cohort study (1996) and 3426 men and 4281 women in the Next Steps study (2015–16). We regressed occasional and daily smoking status on educational attainment, economic activity, living arrangements, relationship status, and parenthood, adjusting for family background, socio-demographics, and smoking history.

Results

There were few differences in associations between the 1996 and 2015-16 samples. Young men and women were less likely to smoke if they had higher education, were homeowners, and cohabited with a partner. Women were less likely to smoke occasionally if they were full-time students, and men were less likely to smoke daily if they were employed full-time and not living with children. However, comparing associations in 2015–16 to 1996: 1) in men, higher education had a weaker negative association and living with a partner had a stronger negative association with daily smoking; 2) in women, independently renting had a weaker positive association with daily smoking.

Conclusions

Despite considerable changes in smoking and the transition to adulthood over the past two decades, the distribution of smoking at ages 25–26 across transition milestones has been relatively stable during this time period in Great Britain.

•

Smoking at ages 25–26 was associated with economic activity, living arrangements, relationship status, and parenthood in 1996 and 2015–16.

•

Differences in smoking across transition milestones differed by gender.

•

Differences in smoking did not substantially change between 1996 and 2015–16.

Six-Month Outcomes from the NEXit Junior Trial of a Text Messaging Smoking Cessation Intervention for High School Students: Randomized Controlled Trial With Bayesian Analysis

Background

The prevalence of daily or occasional smoking among high school students in Sweden was approximately 20% in 2019, which is problematic since lifestyle behaviors are established in adolescence and track into adulthood. The Nicotine Exit (NEXit) Junior trial was conducted in response to a lack of evidence for the effects of text message smoking cessation interventions among high school students in Sweden.

Objective

The aim of this study was to estimate the 3- and 6-month effects of a text messaging intervention among high school students in Sweden on smoking cessation outcomes.

Methods

A 2-arm, single-blind randomized controlled trial was employed to estimate the effects of the intervention on smoking cessation in comparison to treatment as usual. Participants were recruited from high schools in Sweden using advertising and promotion by school staff from January 10, 2018, to January 10, 2019. Weekly or daily smokers who were willing to make a quit attempt were eligible for inclusion. Prolonged abstinence and point prevalence of smoking cessation were measured at 3 and 6 months after randomization.

Results

Complete case analysis was possible on 57.9% (310/535) of the participants at 6 months, with no observed statistically significant effect on 5-month prolonged abstinence (odds ratio [OR] 1.27, 95% CI 0.73-2.20; P=.39) or 4-week smoking cessation (OR 1.42; 95% CI 0.83-2.46; P=.20). Sensitivity analyses using imputation yielded similar findings. Unplanned Bayesian analyses showed that the effects of the intervention were in the anticipated direction. The findings were limited by the risk of bias induced by high attrition (42.1%). The trial recruited high school students in a pragmatic setting and included both weekly and daily smokers; thus, generalization to the target population is more direct compared with findings obtained under more strict study procedures.

Conclusions

Higher than expected attrition rates to follow-up 6 months after randomization led to null hypothesis tests being underpowered; however, unplanned Bayesian analyses found that the effects of the intervention were in the anticipated direction. Future trials of smoking cessation interventions targeting high school students should aim to prepare strategies for increasing retention to mid- and long-term follow-up.

Trial Registration

IRCTN Registry ISRCTN15396225; https://www.isrctn.com/ISRCTN15396225

International Registered Report Identifier (IRRID)

RR2-10.1186/s13063-018-3028-2

Bupropion for smoking cessation in adolescents

QUESTION

An adolescent who smokes regularly came to my clinic for help quitting. While I am aware that bupropion is a first-line medication for smoking cessation among adults, is it effective and safe for adolescents?

ANSWER

Most adolescent smokers in Canada would like to quit, but more than 90% of the attempts are unsuccessful. Bupropion appears to be more effective than other pharmacologic options in improving abstinence among adolescents who smoke in the short term; however, it is not approved by Health Canada for those younger than 18 years. Bupropion has not been associated with an increase in adverse events in smoking cessation trials. More research is needed on the long-term effectiveness and safety of bupropion in this population.

[Not Available]

Question

Un fumeur adolescent m’a souvent consulté à la clinique pour me demander de l’aider pour arrêter de fumer. Je sais que le bupropion est un médicament de première intention pour la cessation tabagique, mais est-il efficace et sécuritaire chez les adolescents?

Réponse

La plupart des fumeurs adolescents au Canada aimeraient cesser de fumer, mais plus de 90 % des tentatives échouent. Le bupropion semble être plus efficace que les autres options pharmacologiques pour améliorer l’abstinence à court terme chez les adolescents; toutefois, Santé Canada ne l’a pas homologué pour les personnes de moins de 18 ans. Le bupropion n’est pas associé à un plus grand nombre d’événements indésirables dans les essais sur la cessation du tabagisme. Plus de recherches sont nécessaires sur l’efficacité et l’innocuité du bupropion à long terme dans cette population.

Strategies to improve smoking cessation rates in primary care

BACKGROUND

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials).

OBJECTIVES

To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

Feasibility of a Smoking Cessation Smartphone App (Quit with US) for Young Adult Smokers: A Single Arm, Pre-Post Study

While smartphone applications (apps) have been shown to enhance success with smoking cessation, no study has been conducted among young adult smokers aged 18-24 years in Thailand. Quit with US was developed based on the 5 A's model and self-efficacy theory. This single arm, pre-post study was conducted aiming to assess results after using Quit with US for 4 weeks. The primary outcome was a biochemically verified 7-day point prevalence of smoking abstinence. The secondary outcomes included smoking behaviors, knowledge and attitudes toward smoking and smoking cessation, and satisfaction and confidence in the smartphone app. A total number of 19 young adult smokers were included; most participants were males (68.4%) with the mean (SD) age of 20.42 (1.46) years. After 4 weeks of study, the primary outcome demonstrated a smoking cessation rate of 31.6%. All 19 participants expressed better smoking behaviors and better knowledge and attitudes toward smoking and smoking cessation. Further, they were satisfied with the smartphone app design and content and expressed confidence in using it. These findings provided preliminary evidence that Quit with US was found to be a potentially effective smoking cessation smartphone app for young adult smokers.

Comparison of e-cigarette use prevalence and frequency by smoking status among youth in the United States, 2014-19

BACKGROUND AND AIMS

Reports of youth e-cigarette use often do not disaggregate by underlying smoking status. This study compared annual 2014-19 youth estimates of past 30-day e-cigarette use prevalence and frequency by smoking status in the United States.

DESIGN

Nationally representative, cross-sectional, school-based survey [National Youth Tobacco Surveys (NYTS)]. General linear models accounting for complex survey design compared e-cigarette use prevalence by smoking status by year, overall and stratified by frequency, separately for high school (HS) and middle school (MS) students. The 2019 survey was analyzed separately because of its change in survey methodology.

SETTING

MSs and HSs in the United States.

PARTICIPANTS

A total of 116 704 students from 1268 schools, ages 9-19.

MEASUREMENTS

Students self-reported (paper 2014-18, electronic 2019) ever and past 30-day (current) use of e-cigarettes and cigarettes, as well as frequent use (20-30 days of month).

FINDINGS

From 2014 to 2018, current e-cigarette use prevalence increased among never, current and former smokers in HS, but only among never and current smokers in MS (each P-value < 0.001). E-cigarette use increases for current HS smokers were primarily among frequent e-cigarette users. In 2018, the absolute number of HS frequent users who were never or former smokers (420 000 combined) surpassed current smokers (370 000). In 2019, current e-cigarette use prevalence for never, former and current smokers was 17.5% [95% confidence interval (CI) = 16.0-19.0], 53.6% (95% CI = 45.2-61.9) and 85.8% (95% CI = 81.6-89.9) for HS students, respectively, and 6.8% (95% CI = 5.9-7.7), 40.8% (95% CI = 34.7-47.0) and 78.0% (95% CI = 71.9-84.2) for MS students. That year, the number of HS never (420 000) and former smokers (570 000) using e-cigarettes frequently eclipsed that of current smokers (390 000).

CONCLUSIONS

E-cigarette use prevalence and frequency among youth vary by smoking status, with highest levels of use among current smokers. However frequent e-cigarette use among never smokers and former smokers has increased.

A synthesis of the literature to inform vaping cessation interventions for young adults

There is an urgent need to address young adult (YA) vaping. However, there is limited vaping cessation intervention research, particularly studies tested via experimental designs. This manuscript focuses on YA vaping and critical needs for research to advance vaping cessation interventions for YAs. The smoking cessation literature, especially regarding YA smoking, provides evidence and theory from which to draw. However, the extent to which this literature has utility for vaping cessation warrants investigation. Research to inform the development and optimization of effective vaping cessation interventions for YAs requires attention to both potential targets for behavioral intervention (e.g., conceptual framework) and how to best reach YAs (i.e., delivery modality). Regarding the former, such interventions must consider the complexity of YA vaping (e.g., complex social influences, limited negative outcome expectancies, quit intentions). One particularly challenging aspect of YA cessation is co-use of other tobacco products and marijuana and ensuring that those who quit vaping do not continue or increase other product use. With regard to intervention modality, technology-based interventions (e.g., text messaging, apps) may prove promising, and individualized intervention (e.g., one-on-one counseling) may be needed to carefully intervene on the complexity of substance use, particularly cigarette and marijuana use, within this population.

mHealth intervention for multiple lifestyle behaviour change among high school students in Sweden (LIFE4YOUth): protocol for a randomised controlled trial

Background

National surveys in Sweden demonstrate that the majority of young people do not engage in health promoting behaviours at levels recommended by the Public Health Agency of Sweden. The objective of this study is to estimate the effectiveness of a novel mHealth intervention named LIFE4YOUth, which targets multiple lifestyle behaviours (alcohol, diet, physical activity, and smoking) among high school students in Sweden.

Methods

A 2-arm parallel groups single blind randomised controlled trial (1:1) will be employed to estimate the effectiveness of the novel mHealth intervention. Students will be recruited at high schools throughout Sweden, and will be included if they fulfil one of six criteria relating to unhealthy behaviours with respect to alcohol, diet, physical activity and smoking. Eligible participants will be randomised to either receive the novel intervention immediately, or to be placed on a waiting list for 4 months. The intervention consists of a combination of recurring screening, text messages, and an interactive platform which is adaptable to individual preferences. Outcome measures with respect to alcohol, diet, physical activity and smoking will be assessed through questionnaires at 2 and 4 months post randomisation.

Discussion

The findings of this trial could be generalised to a diverse high-school student population as our recruitment encompass a large proportion of schools throughout Sweden with various educational profiles. Furthermore, if effective, the mHealth intervention has good potential to be able to be scaled up and disseminated at high schools nationally.

Trial registration

Registered prospectively on 2020-05-20 in ISRCTN (ISRCTN34468623).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11446-9.

Successful Smoking Cessation among Women Smokers Based on Utilizing National Smoking Cessation Service Type in Korea

Background: This study aimed to evaluate the successful smoking cessation across different national smoking cessation services. Methods: This study included data that had been previously entered into the integrated information system for smoking cessation services and comprised 144,688 participants after excluding missing data. These clinics provide face-to-face counseling, phone calls, text messages, and e-mail services for six months and nine sessions. Results: The women-only program had the lowest success rate (11.3%). Compared with the women-only program, the six-month success rate of smoking cessation clinic at public health centers (OR = 3.72, CI = [3.52, 3.92]), visiting-type smoking cessation clinics (OR = 2.97, CI = [2.79, 3.16]), the residential 4 -night 5-day program (OR = 7.79, CI = [6.49, 9.35]), and a program for inpatients (OR = 2.36, CI = [1.89, 2.94]) showed a significant increase. Conclusions: Emotional labor workers who participated in the women-only program had low smoking cessation success rates, while those who participated in the residential 4-night 5-day program had high success rates.

Population pharmacokinetics and exposure-response analyses of varenicline in adolescent smokers

Varenicline is an approved smoking cessation aid in adults. Population pharmacokinetics (popPK) and exposure–response (ER) (continuous abstinence rates [CAR] weeks 9‒12 and nausea/vomiting incidence) for varenicline in adolescent smokers were characterized using data from two phase 1 and one phase 4 studies. A one‐compartment popPK model with first‐order absorption and elimination adequately fitted the observed data. The effect of female sex on apparent clearance was significant. Apparent volume of distribution increased with body weight and decreased by 24%, 15%, and 14% for black race, “other” race, and female sex, respectively. The observed range of exposure in the phase 4 study was consistent with that expected for each dose and body‐weight group from the results obtained in adolescent PK studies, supporting that varenicline dose and administration were appropriate in the study. The relationship between CAR9‒12 and varenicline area under the concentration–time curve (AUC) from 0 to 24 hours (AUC₂₄) was nonsignificant (p = 0.303). Nausea/vomiting incidence increased with AUC₂₄ (p < 0.001) and was higher in females. Varenicline PK and ER for tolerability in adolescent smokers were comparable with adults, while ER for efficacy confirmed the negative results reported in the phase 4 study.

Reducing smoking in youth by a smoke-free school environment: A stratified cluster randomized controlled trial of Focus, a multicomponent program for alternative high schools

Youth smoking remains a major challenge for public health. Socioeconomic position influences the initiation and maintenance of smoking, and alternative high school students are at particularly high risk. The school environment is an important setting to promote health, however there is a lack of evidence-based school intervention programs. This article presents the Focus study, which aims to test the implementation and effectiveness of a school-based intervention integrating¹ a comprehensive school smoking policy [i.e. smoke-free school hours (SFSH)]², a course for school staff in short motivational conversations³, school class-based teaching material⁴, an edutainment session5, a class-based competition, and6 access to smoking cessation support. Together these intervention components address students' acceptability of smoking, social influences, attitudes, motivation, and opportunities for smoking. The setting is alternative high schools across Denmark, and the evaluation design is based on a stratified cluster randomized controlled trial comparing the intervention group to a control group. Outcome data is collected at baseline, midway, and at the end of the intervention period. Moreover, a detailed process evaluation, using qualitative and quantitative methods, is conducted among students, teachers, and school principals. The results from this trial will provide important knowledge on the effectiveness of a smoke-free school environment. The findings will lead to a better understanding of which policies, environments, and cognitions, contribute to preventing and reducing cigarette use among young people in a diverse and high-risk school setting, and illuminate which complementary factors are significant to achieve success when implementing SFSH.

Behavioral interventions for smoking cessation among adolescents: a rapid review and meta-analysis for the Korea Preventive Services Task Force

Objectives

The aim of this study was to evaluate the effectiveness of behavioral smoking cessation interventions among adolescents.

Methods

MEDLINE, CENTRAL, Embase, CINAHL, KoreaMed, and KMbase were searched from inception to June 2020. Systematic reviews (SRs) or meta-analyses of randomized controlled trials (RCTs) were initially searched to perform a rapid SR. After selecting the final SR, RCTs after the publication year of the selected SR were searched. The primary outcome was smoking status after at least 6 months of follow-up, and the secondary outcome was smoking status at 4 weeks. Two reviewers independently assessed the selected studies’ quality using the Cochrane risk of bias tool. The meta-analysis utilized a Mantel-Haenszel fixed-effect model reporting the relative risk (RR) and 95% confidence interval (CI). The subgroup analysis utilized Cochrane’s Q.

Results

Thirty-two RCTs (11,637 participants) from a single SR were meta-analyzed. After 6 months of follow-up, the intervention group had significantly higher abstinence rates (RR, 1.30; 95% CI, 1.20−1.41; I²=26.46%). At 4 weeks of follow-up, the intervention group also had significantly higher abstinence rates (RR, 1.92; 95% CI, 1.49–2.47; I²=0.00%). The subgroup analysis indicated a significant difference in the abstinence rate according to the study setting and the period between intervention completion and follow-up.

Conclusion

This review showed that adolescent behavioral smoking cessation intervention programs significantly increased abstinence rates compared to the usual care.

Socio-economic distribution of e-cigarette use among recent former regular smokers and current smokers at ages 25-26 in England

BACKGROUND AND AIMS

E-cigarettes may potentially help young adult smokers to quit smoking, yet little is known about differences among socio-economic groups. We examined associations between key socio-economic characteristics and e-cigarette use among recent former smokers and current smokers in a sample of young adults in England.

DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS

We used data on 346 recent former regular (daily for 12+ months) smokers and 1913 current smokers from the ages 25-26 wave of the Next Steps cohort study (2015-2016). In multinomial logistic regression, we estimated relative risk ratios (RRR) of e-cigarette use (never, former, non-daily, daily) by educational attainment, social class [using the National Statistics Socio-economic classification (NS-SEC)] and employment status [full-time, part-time, unemployed and other 'inactivity' (e.g. stay-at-home parents and permanantly disabled)], adjusting for sex.

FINDINGS

Among recent former regular smokers, there were no patterns of association between socio-economic characteristics and e-cigarette use. Among current smokers: (1) compared with higher occupation (NS-SEC I/II), intermediate occupation (NS-SEC III/IV) was positively associated with non-daily e-cigarette use [RRR = 1.77, 95% confidence interval (CI) = 1.03-3.03]; (2) compared with full-time employment, unemployment was negatively associated with non-daily and daily e-cigarette use (RRR = 0.38, 95% CI = 0.18-0.81; RRR = 0.12, 95% CI = 0.02-0.56) and other economic inactivity was negatively associated with daily e-cigarette use (RRR = 0.39, 95% CI = 0.16-0.93).

CONCLUSIONS

Among young adult smokers in England, lower-status occupational groups were more likely to use e-cigarettes on a non-daily basis than to have never used compared with higher status occupational groups. Compared with people in full-time employment, those without employment were less likely to use e-cigarettes daily than to have never used.

LifeFirst: Impact of a school-based tobacco and supari cessation intervention among adolescent students in Mumbai, India

INTRODUCTION

The youth are a vulnerable population-group for tobacco-related harms. Schools are an excellent setting for health promotion; yet there is a dearth of school-based cessation interventions, rarely evaluated for their impact. Here, we assess the impact of the LifeFirst program: an ongoing tobacco and supari (areca nut) cessation intervention delivered to students from corporation schools in Mumbai city.

METHODS

We used a prospective quasi-experimental design with an intervention and a control arm embedded within an ongoing LifeFirst program in select schools. We used a difference-in-difference analysis with baseline and end-line surveys to assess the program's impact on students' knowledge about harms, students' refusal skills, and prevalence of tobacco/supari use. We report our work using the TREND statement checklist.

RESULTS

A total of 959 students registered in the LifeFirst program. In our analysis, we included 827 students who completed both the baseline and end-line surveys. Postintervention, we found both tobacco and supari use reduced substantially among the intervention group while tobacco use increased among the control group. The difference-in-difference estimates show a statistically significant reduction of 17.9 and 38.1 percentage points in the intervention group for tobacco and supari use respectively, beyond the reduction in the control group.

CONCLUSIONS

The LifeFirst program was successful in reducing tobacco and supari use among the study participants and protected students in the intervention group against new uptake of tobacco. It helped improve knowledge score and refusal skills among students. Implementation and evaluation of similar school-based programs should be considered as part of a multi-strategy approach to reducing tobacco use among young people.

A Facebook intervention to address cigarette smoking and heavy episodic drinking: A pilot randomized controlled trial

BACKGROUND

Co-occurrence of tobacco use and heavy episodic drinking (HED; 5+ drinks for men and 4+ drinks for women per occasion) is common among young adults; both warrant attention and intervention. In a two-group randomized pilot trial, we investigated whether a Facebook-based smoking cessation intervention addressing both alcohol and tobacco use would increase smoking abstinence and reduce HED compared to a similar intervention addressing only tobacco.

METHODS

Participants were 179 young adults (age 18-25; 49.7% male; 80.4% non-Hispanic white) recruited from Facebook and Instagram who reported smoking 4+ days/week and past-month HED. The Smoking Tobacco and Drinking (STAND) intervention (N = 84) and the Tobacco Status Project (TSP), a tobacco-only intervention (N = 95), both included daily Facebook posts for 90 days and weekly live counseling sessions in private "secret" groups. We verified self-reported 7-day smoking abstinence via remote salivary cotinine tests at 3, 6, and 12 months (with retention at 83%, 66%, and 84%, respectively). Participants self-reported alcohol use.

RESULTS

At baseline, the participants averaged 10.4 cigarettes per day (SD = 6.9) and 8.9 HED occasions in the past month (SD = 8.1), with 27.4% in a preparation stage of change for quitting smoking cigarettes. Participants reported significant improvements in cigarette smoking and alcohol use outcomes over time, with no significant differences by condition. At 12 months, intent-to-treat smoking abstinence rates were 3.5% in STAND vs. 0% in TSP (biochemically verified) and 29.4% in STAND vs. 25.5% in TSP (self-reported). Compared to TSP, participants rated the STAND intervention more favorably for supporting health and providing useful information.

CONCLUSIONS

Adding an alcohol treatment component to a tobacco cessation social media intervention was acceptable and engaging but did not result in significant differences by treatment condition in smoking or alcohol use outcomes. Participants in both conditions reported smoking and drinking less over time, suggesting covariation in behavioral changes.

Factors Associated with Successful Smoking Cessation According to Age Group: Findings of an 11-Year Korea National Survey

Previous studies suggest that factors related to smoking cessation may vary with age. This study examined the factors affecting smoking cessation by age among Korean adult male smokers using data from the Korea National Health and Nutrition Examination Survey from 2007 to 2018 (excluding 2013). Logistic regression analyses were used to investigate various factors associated with smoking cessation in three different age groups. Out of a total of 15,492 individuals, 31.5% of the 3523 individuals aged 19-39 years (young adult), 54.7% of the 7390 individuals aged 40-64 years (middle-aged), and 78.6% of the 4589 individuals aged ≥65 years (older adults) succeeded in quitting. In the young adult and middle-aged groups, being married was associated with successful quitting, and lifetime smoking was associated with unsuccessful quitting. Willpower and several comorbidities were related to successful cessation in the middle-aged and older adult groups. Skipping any meal, which suggests unhealthy behavior, was negatively related to quitting in the young adult group. We observed that factors associated with smoking cessation success or failure differed by age, which should be considered when developing smoking cessation policies and programs.

Behavioural interventions for smoking cessation: an overview and network meta-analysis

BACKGROUND

Smoking is a leading cause of disease and death worldwide. In people who smoke, quitting smoking can reverse much of the damage. Many people use behavioural interventions to help them quit smoking; these interventions can vary substantially in their content and effectiveness.

OBJECTIVES

To summarise the evidence from Cochrane Reviews that assessed the effect of behavioural interventions designed to support smoking cessation attempts and to conduct a network meta-analysis to determine how modes of delivery; person delivering the intervention; and the nature, focus, and intensity of behavioural interventions for smoking cessation influence the likelihood of achieving abstinence six months after attempting to stop smoking; and whether the effects of behavioural interventions depend upon other characteristics, including population, setting, and the provision of pharmacotherapy. To summarise the availability and principal findings of economic evaluations of behavioural interventions for smoking cessation, in terms of comparative costs and cost-effectiveness, in the form of a brief economic commentary.

METHODS

This work comprises two main elements. 1. We conducted a Cochrane Overview of reviews following standard Cochrane methods. We identified Cochrane Reviews of behavioural interventions (including all non-pharmacological interventions, e.g. counselling, exercise, hypnotherapy, self-help materials) for smoking cessation by searching the Cochrane Library in July 2020. We evaluated the methodological quality of reviews using AMSTAR 2 and synthesised data from the reviews narratively. 2. We used the included reviews to identify randomised controlled trials of behavioural interventions for smoking cessation compared with other behavioural interventions or no intervention for smoking cessation. To be included, studies had to include adult smokers and measure smoking abstinence at six months or longer. Screening, data extraction, and risk of bias assessment followed standard Cochrane methods. We synthesised data using Bayesian component network meta-analysis (CNMA), examining the effects of 38 different components compared to minimal intervention. Components included behavioural and motivational elements, intervention providers, delivery modes, nature, focus, and intensity of the behavioural intervention. We used component network meta-regression (CNMR) to evaluate the influence of population characteristics, provision of pharmacotherapy, and intervention intensity on the component effects. We evaluated certainty of the evidence using GRADE domains. We assumed an additive effect for individual components.

MAIN RESULTS

We included 33 Cochrane Reviews, from which 312 randomised controlled trials, representing 250,563 participants and 845 distinct study arms, met the criteria for inclusion in our component network meta-analysis. This represented 437 different combinations of components. Of the 33 reviews, confidence in review findings was high in four reviews and moderate in nine reviews, as measured by the AMSTAR 2 critical appraisal tool. The remaining 20 reviews were low or critically low due to one or more critical weaknesses, most commonly inadequate investigation or discussion (or both) of the impact of publication bias. Of note, the critical weaknesses identified did not affect the searching, screening, or data extraction elements of the review process, which have direct bearing on our CNMA. Of the included studies, 125/312 were at low risk of bias overall, 50 were at high risk of bias, and the remainder were at unclear risk. Analyses from the contributing reviews and from our CNMA showed behavioural interventions for smoking cessation can increase quit rates, but effectiveness varies on characteristics of the support provided. There was high-certainty evidence of benefit for the provision of counselling (odds ratio (OR) 1.44, 95% credibility interval (CrI) 1.22 to 1.70, 194 studies, n = 72,273) and guaranteed financial incentives (OR 1.46, 95% CrI 1.15 to 1.85, 19 studies, n = 8877). Evidence of benefit remained when removing studies at high risk of bias. These findings were consistent with pair-wise meta-analyses from contributing reviews. There was moderate-certainty evidence of benefit for interventions delivered via text message (downgraded due to unexplained statistical heterogeneity in pair-wise comparison), and for the following components where point estimates suggested benefit but CrIs incorporated no clinically significant difference: individual tailoring; intervention content including motivational components; intervention content focused on how to quit. The remaining intervention components had low-to very low-certainty evidence, with the main issues being imprecision and risk of bias. There was no evidence to suggest an increase in harms in groups receiving behavioural support for smoking cessation. Intervention effects were not changed by adjusting for population characteristics, but data were limited. Increasing intensity of behavioural support, as measured through the number of contacts, duration of each contact, and programme length, had point estimates associated with modestly increased chances of quitting, but CrIs included no difference. The effect of behavioural support for smoking cessation appeared slightly less pronounced when people were already receiving smoking cessation pharmacotherapies.

AUTHORS' CONCLUSIONS

Behavioural support for smoking cessation can increase quit rates at six months or longer, with no evidence that support increases harms. This is the case whether or not smoking cessation pharmacotherapy is also provided, but the effect is slightly more pronounced in the absence of pharmacotherapy. Evidence of benefit is strongest for the provision of any form of counselling, and guaranteed financial incentives. Evidence suggested possible benefit but the need of further studies to evaluate: individual tailoring; delivery via text message, email, and audio recording; delivery by lay health advisor; and intervention content with motivational components and a focus on how to quit. We identified 23 economic evaluations; evidence did not consistently suggest one type of behavioural intervention for smoking cessation was more cost-effective than another. Future reviews should fully consider publication bias. Tools to investigate publication bias and to evaluate certainty in CNMA are needed.