Predictors of Cigarette Smoking Cessation in Adolescents: A Systematic Review

The Socio-Ecological Enablers of Smoking and Vaping in Rural Young Adults: A Mixed-Methods Study

INTRODUCTION

Tobacco and vaping use among young people is a significant public health issue in Australia. Smoking rates are higher in rural areas of Australia compared to metropolitan cities. Research is needed to understand the factors that influence rural people to experiment and commence use of these products to inform evidence-based prevention and to reduce dependence and related morbidity and mortality. The study aim was to analyse the socio-ecological enablers of smoking tobacco and vaping use in young adults (18-30 years of age) in a rural Australian context with high rates of population tobacco use and to identify factors to improve prioritisation, design and implementation of place-based prevention interventions.

METHODS

The study setting was defined by three adjoining rural shires (all modified Monash 5 small rural towns) in [deidentified for peer review] Victoria, Australia. A mixed-methods approach was applied using an online quantitative descriptive survey (n = 51) and semi-structured qualitative interviews (n = 7) with young adults, and semi-structured interviews with health professionals (n = 10) working in the region. Quantitative and qualitative descriptive analyses were completed to describe the influences on smoking and vaping uptake and continued use, and recommendations for prevention-focused population health intervention.

RESULTS

Friends were the highest influence on smoking tobacco and vaping uptake and continued use for the survey participants. The next highest known influences on smoking tobacco and vaping uptake were classmates and sporting teammates, and the interrelationships with stress and mental health were also emphasised. The interview themes are presented in the socio-ecological frames and highlight how cultural change and policy and legislation interventions might prevent uptake.

CONCLUSIONS

The findings inform place-based prevention strategies for governments and community health organisations in similar rural contexts; further population survey research is needed in this area for more accurate data to inform rural population health planning. SO WHAT?: Rural young adults smoking and vaping was most strongly influenced by friends. Prevention is needed that focuses on peer-to-peer health promotion in schools, sports clubs and workplaces, and which considers interrelationships with mental health.

A Systematic Review of Predictors of Vaping Cessation Among Young People

BACKGROUND AND AIMS

Understanding the factors influencing vaping cessation among young people is crucial for targeted interventions. This review aimed to summarize the individual and environmental factors that predict vaping cessation-related behaviors in the young population.

METHODS

We systematically searched five databases for studies investigating predictors of vaping cessation behaviors among young people aged 10-35 years. Studies that examined predictors of cessation of cigarettes, other tobacco products, cannabis vaping, and studies evaluating efficacy of cessation interventions were excluded. Quality in Prognosis Studies tool was used to assess risk of bias.

RESULTS

We found 24 studies analyzing predictors of intention to quit vaping (n = 15), quit attempts (n = 11), and vaping abstinence (n = 7). Most studies had low risk of bias, except for study attrition. We identified 107 predictors and grouped them into "probable," "possible," "insufficient evidence," "probably unrelated," and "inconsistent direction" categories. For "probable" predictors, we found 11 for intention to quit, eight for quit attempts and five for vaping abstinence. Overall, harm perception of vaping, current other tobacco products use, frequency of use, and level of nicotine dependence were common "probable" predictors across three outcomes, with low harm perception of vaping, dual use, and poly tobacco use associated with decreased intention to quit and quit attempts in younger population (~10-19 years).

CONCLUSIONS

Predictive modeling studies investigating vaping cessation-related behaviors among young people are still limited. Future research should specifically study the natural history of vaping in youth in different jurisdictions, populations, and age groups to expand our knowledge in this area.

IMPLICATIONS

We identified and categorized predictors of intention to quit vaping, quit attempts, and vaping abstinence among young people. While the "probable" predictors can inform public health and policymakers to plan targeted vaping cessation programs for high-risk populations, raising public harm perception of vaping and encouraging to quit other tobacco products might increase intention to quit and quit attempts among younger population. However, the "possible," "insufficient evidence" and "inconsistent direction" predictors need further testing by future prospective longitudinal research. Additionally, we emphasized the significance of appropriate study designs, conducting research across various jurisdictions, and different population groups to obtain comprehensive insights.

Reaching Youth Smokers Through a Multipronged Approach: Comparison of Three Recruitment Methods of a Youth Quitline in Hong Kong

PURPOSE

Using multipronged recruitment strategies is crucial for reaching diverse smokers, yet research specifically focusing on youths is lacking. This prospective study compared the characteristics and abstinence outcomes of youth smokers enrolled in a youth-centered cessation service by three different methods.

METHODS

From December 2016 to February 2022, the Youth Quitline enrolled 1,197 smokers aged 10-25 (mean = 19.4) years through traditional method (incoming calls or referrals, n = 276), proactive outreach (n = 735), and online method (website or social media platforms, n = 186). Logistic regression was used to calculate the odds ratio (OR) of biochemically validated tobacco abstinence at 6 months by recruitment methods.

RESULTS

Proportionally more participants recruited via online method than traditional method and outreach had moderate to heavy nicotine dependence (53.2% vs. 40.9% vs. 27.6%, p < .001), poor self-rated health (27.6% vs. 21.9% vs. 12.3%, p < .001), and risk of depression (51.4% vs. 42.5% vs. 37.4%, p = .003). More participants recruited by outreach (71.6%) had no intention to quit in 30 days than traditional (58.3%) and online (59.7%) methods (p < .001). Compared with traditional method, the 6-month validated abstinence rate was similar in smokers recruited by online method (crude OR 0.77, 95% confidence interval 0.44-1.34) but significantly lower in those recruited by outreach (crude OR 0.44, 95% confidence interval 0.28-0.67). Results were similar after adjusting for sociodemographic and baseline predictors of abstinence.

DISCUSSION

Online recruitment can attract youth smokers with greater nicotine dependence and poorer health, whereas outreach can engage those with less motivation to quit. The lower quit rate in outreach-recruited participants indicated the need for more effective interventions.

Hunger and housing: Economic disparities in current and daily tobacco use among high school students in the United States in 2021

Introduction

Economic disparities in tobacco use and dependence are well-documented among adults but not adolescents. This study aims to examine economic disparities in patterns of tobacco use among a nationally representative sample of high school students in Spring 2021.

Methods

We analyzed data from n = 6750 US high school student via the 2021 Adolescent Behaviors and Experiences Survey (ABES). We estimated the association between experiencing homelessness and food insecurity (analyzed independently) and current (past 30-day) and daily (all 30 days) use of four tobacco products (e-cigarettes; cigarettes; cigars; smokeless). Models controlled for sex, race/ethnicity, age, and sexual identity.

Results

Overall, ∼1.8 % experienced homelessness and 23.7 % experienced food insecurity. Experiencing homeless was significantly associated with greater odds of current use for e-cigarette (aOR: 3.43), cigarettes (aOR: 5.58), cigars (aOR: 10.47), and smokeless tobacco (aOR: 4.41) as well as greater risk for daily use of e-cigarettes (aOR: 2.66), cigarettes (aOR: 10.94), and cigars (aOR: 5.23) but not smokeless tobacco (aOR: 2.48; 95 %CI: 0.51-12.16). Food insecurity was significantly associated with greater odds of current use of e-cigarettes (aOR: 2.00), cigarettes (aOR: 2.15), and cigars (aOR: 2.44) but not smokeless (aOR: 1.04; 95 % CI: 0.56-1.93). No association was observed between food insecurity and daily tobacco use.

Conclusion

Substantial economic disparities in tobacco use were observed in a nationally representative sample of high school students. Interventions should consider prioritizing economic determinants of health during adolescence, including a focus on preventing youth tobacco use as well as addressing upstream determinants of homelessness and food insecurity.

Adolescent vaping behaviours: Exploring the dynamics of a social contagion model

Vaping, or the use of electronic cigarettes (e-cigarettes), is an ongoing issue for public health. The rapid increase in e-cigarette usage, particularly among adolescents, has often been referred to as an epidemic. Drawing upon this epidemiological analogy between vaping and infectious diseases as a theoretical framework, we present a deterministic compartmental model of adolescent e-cigarette smoking which accounts for social influences on initiation, relapse, and cessation behaviours. We use results from a sensitivity analysis of the model's parameters on various response variables to identify key influences on system dynamics and simplify the model into one that can be analysed more thoroughly. We identify a single feasible endemic equilibrium for the proportion of smokers that decreases as social influence on cessation increases. Through steady state and stability analyses, as well as simulations of the model, we conclude that social influences from and on temporary quitters are not important in overall model dynamics, and that social influences from permanent quitters can have a significant impact on long-term system dynamics. In particular, we show that social influence on cessation can induce persistent recurrent smoking outbreaks.

Trends in smoking initiation and cessation over a century in two Australian cohorts

BACKGROUND

Historical data on smoking can enhance our comprehension of the effectiveness of past tobacco control policies and play a key role in developing targeted public health interventions. This study was undertaken to assess trends in smoking initiation and cessation in Australia for the period 1910-2005.

METHODS

Rates of smoking initiation and cessation were calculated for participants in two population-based cohorts, the Busselton Health Study and the Tasmanian Longitudinal Health Study. The effects of time trends, gender and age group were evaluated.

RESULTS

Of the 29,971 participants, 56.8% ever smoked. In males, over the period 1910-1999, the rate of smoking initiation in young adolescents remained high with a peak in the 1970s; in older adolescents it peaked in the 1940s and then declined; in young adults it showed a steady decline. In females, the rate of smoking initiation in young adolescents rose sharply in the 1960s and peaked in the 1970s, in older adolescents it increased throughout the period, and in young adults it declined after 1970. In the period 1930-2005, 27.3% of 9,605 people aged 36-50 years who smoked ceased smoking. Rates of cessation in this age group increased throughout but decreased in males after 1990 and plateaued around 2000 in females.

CONCLUSION

Our findings show substantial variation in the efficacy of tobacco control policies across age groups, with a notable lack of success among the younger population.

Transtheoretical model to predict the stages of changes in smoking cessation behavior among adolescents

Introduction

Previous studies on adolescent smoking cessation behavior based on the transtheoretical model have primarily focused on the development of cessation programs. Attempting to quit smoking is a prerequisite for executing smoking cessation. Appropriate methods must be selected based on the characteristics and intentions of individuals to increase smokers' satisfaction and success rates in quitting. Therefore, this study aimed to identify changing processes influencing the stages of change associated with successful smoking cessation among adolescents and examined the related factors. This descriptive study explored a transtheoretical model of different stages of changes in smoking cessation behavior among adolescent smokers.

Methods

The participants included 237 middle and high school students in South Korea. We examined the differences in stages of changes in smoking cessation behaviors based on general characteristics, smoking-related characteristics, smoking cessation change processes (cognitive and behavioral), smoking decisional balance (pros and cons of smoking), and self-efficacy.

Results

The probability of reaching the preparation stage of smoking cessation was significantly lower among participants who did not know their father's educational level than among those who knew their father's educational level. Conversely, this probability was significantly higher among participants whose mothers had a college or higher education level and those who did not know their mother's educational level than in those whose mothers had a high school or lower education level.

Conclusion

These findings indicated that parental education is a significant predictor of the preparation stage of smoking cessation, highlighting the importance of the family environment in facilitating smoking cessation among adolescents. Accordingly, communication and support at home could help reinforce adolescents' determination to quit smoking and make relevant plans. Thus, smoking cessation support should stress the need to enhance communication at home.

Comparison of the Predictors of Smoking Cessation Plans between Adolescent Conventional Cigarette Smokers and E-Cigarette Smokers Using the Transtheoretical Model

Recently, there has been a shift in smoking patterns among adolescents, with a decrease in the prevalence of conventional cigarette smoking and an increase in the use of electronic cigarettes (e-cigarettes). The harmful effects of e-cigarettes are remarkable, highlighting the need for proactive interventions for adolescent users and smoking cessation that consider the characteristics of both conventional cigarette smokers and e-cigarette users. This study aims to investigate the smoking status of adolescent conventional cigarette and e-cigarette smokers and to analyze the predictors of their smoking cessation plans (SCPs) based on the transtheoretical model. Self-rated health, prior smoking cessation education, consciousness-raising, and dramatic relief as types of experiential processes of change, and formation of helping relationships as a type of behavioral process of change significantly differed according to the type of cigarette behavior among adolescents. The predictors of SCP among adolescents were perceived pros of smoking and academic performance among conventional cigarette smokers and behavioral process of change, perceived pros of smoking, and economic status among e-cigarette users. This study identified differences in the characteristics and predictors of SCP. Strategies tailored to each specific adolescent smoking population are further required to promote smoking cessation.

Implicit Theories of Smoking and Intention to Quit: A Serial Mediation Model

INTRODUCTION

There is growing evidence that implicit theories of smoking (ITS)-whether smokers perceive smoking behavior as malleable or fixed-are significant predictors of quitting intentions.

AIMS AND METHODS

This cross-sectional study aims to investigate the underlying mechanisms of implicit theories on smoking in predicting smokers' intentions to quit. We conducted multiple linear regression with quitting intentions as the dependent variable, ITS as the independent variable, and sociodemographic variables, quitting attempts in the past year, and receiving quitting advice in the past 12 months as the covariates. The mediating role of consideration of future consequences (CFC) and self-efficacy in the relationship between implicit theories of smoking and quitting intentions was evaluated by mediation analyses.

RESULTS

A total of 510 smokers were included in the final analyses. Smokers holding a higher incremental theory of smoking reported a higher likelihood of considering future consequences (β = 0.289, p < .001) and a weaker possibility of considering immediate results (β = -0.317, p < .001), which, in turn, enhanced their quitting self-efficacy and then led to stronger intentions to quit smoking (β = 0.261, p < .001).

CONCLUSIONS

The current study enriched our understanding of the underlying mechanisms that connect smokers' ITS and their likelihood of smoking cessation such that higher incremental theories of smoking predict stronger intention to quit smoking, and the effect was serially mediated by smokers' likelihood of considering future consequences of their behavior and their perceived self-efficacy for smoking cessation.

IMPLICATIONS

This study indicated the mediating role of CFC and self-efficacy for smoking cessation on the relationship between the ITS and quitting intentions. These two psychological factors and the pathways may be important points for understanding the model of implicit theories for smoking and improving the effectiveness of implicit theories-based intervention on smoking cessation.

An overview of systematic reviews on predictors of smoking cessation among young people

Understanding the factors that influence smoking cessation among young people is crucial for planning targeted cessation approaches. The objective of this review was to comprehensively summarize evidence for predictors of different smoking cessation related behaviors among young people from currently available systematic reviews. We searched six databases and reference lists of the included articles for studies published up to October 20, 2023. All systematic reviews summarizing predictors of intention to quit smoking, quit attempts, or smoking abstinence among people aged 10-35 years were included. We excluded reviews on effectiveness of smoking cessation intervention; smoking prevention and other smoking behaviors; cessation of other tobacco products use, dual use, and polysubstance use. We categorized the identified predictors into 5 different categories for 3 overlapping age groups. JBI critical appraisal tool and GRADE-CERqual approach were used for quality and certainty assessment respectively. A total of 11 systematic reviews were included in this study; all summarized predictors of smoking abstinence/quit attempts and two also identified predictors of intention to quit smoking. Seven reviews had satisfactory critical appraisal score and there was minimal overlapping between the reviews. We found 4 'possible' predictors of intention to quit smoking and 119 predictors of smoking abstinence/quit attempts. Most of these 119 predictors were applicable for ~10-29 years age group. We had moderate confidence on the 'probable', 'possible', 'insufficient evidence', and 'inconsistent direction' predictors and low confidence on the 'probably unrelated' factors. The 'probable' predictors include a wide variety of socio-demographic factors, nicotine dependence, mental health, attitudes, behavioral and psychological factors, peer and family related factors, and jurisdictional policies. These predictors can guide improvement of existing smoking cessation interventions or planning of new targeted intervention programs. Other predictors as well as predictors of intention to quit smoking need to be further investigated among adolescents and young adults separately.

A Systematic Review of Qualitative Studies on Factors Associated With Smoking Cessation Among Adolescents and Young Adults

OBJECTIVE

To summarize findings from qualitative studies on factors associated with smoking cessation among adolescents and young adults.

DATA SOURCES

We searched Pubmed, Psychinfo, CINAHL, Embase, Web of Science, and SCOPUS databases, as well as reference lists, for peer-reviewed articles published in English or French between January 1, 2000, and November 18, 2020. We used keywords such as adolescents, determinants, cessation, smoking, and qualitative methods.

STUDY SELECTION

Of 1724 records identified, we included 39 articles that used qualitative or mixed methods, targeted adolescents and young adults aged 10-24, and aimed to identify factors associated with smoking cessation or smoking reduction.

DATA EXTRACTION

Two authors independently extracted the data using a standardized form. We assessed study quality using the National Institute for Health and Care Excellence checklist for qualitative studies.

DATA SYNTHESIS

We used an aggregative meta-synthesis approach and identified 39 conceptually distinct factors associated with smoking cessation. We grouped them into two categories: (1) environmental factors [tobacco control policies, pro-smoking norms, smoking cessation services and interventions, influence of friends and family], and (2) individual attributes (psychological characteristics, attitudes, pre-quitting smoking behavior, nicotine dependence symptoms, and other substances use). We developed a synthetic framework that captured the factors identified, the links that connect them, and their associations with smoking cessation.

CONCLUSIONS

This qualitative synthesis offers new insights on factors related to smoking cessation services, interventions, and attitudes about cessation (embarrassment when using cessation services) not reported in quantitative reviews, supplementing limited evidence for developing cessation programs for young persons who smoke.

IMPLICATIONS

Using an aggregative meta-synthesis approach, this study identified 39 conceptually distinct factors grouped into two categories: Environmental factors and individual attributes. These findings highlight the importance of considering both environmental and individual factors when developing smoking cessation programs for young persons who smoke. The study also sheds light on self-conscious emotions towards cessation, such as embarrassment when using cessation services, which are often overlooked in quantitative reviews. Overall, this study has important implications for developing effective smoking cessation interventions and policies that address the complex factors influencing smoking behavior among young persons.

Prevention of tobacco use in an adolescent population through a multi-personal intervention model

INTRODUCTION

The study aimed to assess the impact of a new intervention proposal involving students, teachers, and parents on smoking prevalence in secondary school adolescents.

METHODS

A quasi-experimental study was conducted, in which the response to a preventive multi-personal intervention model (intervention) against tobacco consumption was compared with a standard anti-smoking activity carried out by the local government administration (control). The study was carried out during the 2017-2018 academic year. The study population included 306 students (intervention 151, control 155) with a mean age of 13.4 years. The model involved the parents, the students (aged 15-17 years), and the teachers. The primary outcome was the change in smoking status one year after the intervention.

RESULTS

The percentage of non-smokers increased from 84.1% to 88.7% in the intervention group and remained almost unchanged among controls (89.3% vs 89.9%). After one year, there was an increase in the prevalence of non-smokers of 4.6% and a decrease in the prevalence of smokers of 4.7% among students who received the multi-personal intervention, whereas changes among controls were almost negligible (there was in fact a slight increase in the prevalence of smokers of 0.9%). The students who received the intervention smoked less or quit smoking more than those in the control group (OR=0.135; 95% CI: 0.019-0.973, p=0.047).

CONCLUSIONS

The multi-personal model developed in the study with the participation of teachers and parents focused on students was feasible, and effectively reduced the prevalence of smoking among high school adolescents.

The associations of parental smoking, quitting and habitus with teenager e-cigarette, smoking, alcohol and other drug use in GUI Cohort '98

We analyse parental smoking and cessation (quitting) associations with teenager e-cigarette, alcohol, tobacco smoking and other drug use, and explore parental smoking as a mechanism for social reproduction. We use data from Waves 1-3 of Growing Up in Ireland (Cohort '98). Our analytic sample consisted of n = 6,039 participants reporting in all 3 Waves. Data were collected in Waves 1 and 2 when the children were 9 and 13 years old and in Wave 3 at age 17/18 years. Generalized Estimating Equations (GEE) models were used to analyse teenage substance use at Wave 3. Parental smoking was associated with significantly increased risk of all teenage substance use, adjusted odds ratios were aOR2.13 (ever e-cigarette use); aOR1.92 (ever alcohol use); aOR1.88 (current alcohol use); aOR1.90 (ever use of other drugs); aOR2.10 (ever-smoking); and aOR1.91 (current smoking). Primary caregiver smoking cessation (quitting) was associated with a lower risk for teenager current smoking aOR0.62, ever e-cigarette use aOR 0.65 and other drug use aOR 0.57. Primary caregiver smoking behaviour had greater associations than secondary, and age13 exposure more than age 9. Habitus seems to play a role and wealth was protective for teenage smoking. The findings suggest that prevention interventions should target both caregivers and their children.

A methodological framework allows the identification of personomic markers to consider when designing personalized interventions

OBJECTIVES

To develop a methodological framework to identify and prioritize personomic markers (e.g., psychosocial situation, beliefs…) to consider for personalizing interventions and to test in smoking cessation interventions.

STUDY DESIGN AND SETTING

(1) We identified potential personomic markers considered in protocols of personalized interventions, in reviews of predictors of smoking cessation, and in interviews with general practitioners. (2) Physicians, and patient smokers or former smokers selected the markers they considered most relevant during online paired comparison experiments. Data were analyzed with Bradley Terry Luce models.

RESULTS

Thirty-six personomic markers were identified from research evidence. They were evaluated by 795 physicians (median age: 34, IQR [30-38]; 95% general practitioners) and 793 patients (median age: 54, IQR [42-64], 71.4% former smokers) during 11,963 paired comparisons. Physicians identified patients' motivation for quitting (e.g., Prochaska stages), patients' preferences, and patients' fears and beliefs (e.g., concerns about weight gain) as the most relevant elements to personalize smoking cessation. Patients considered their motivation for quitting, smoking behavior (e.g., smoking at home/at work), and tobacco dependence (e.g., Fagerström Test) as the most relevant elements to consider.

CONCLUSION

We provide a methodological framework to prioritize which personomic markers should be considered when developing smoking cessation interventions.

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.

Predictors of smoking cessation outcomes identified by machine learning: A systematic review

This systematic review aims to characterize the utility of machine learning to identify the predictors of smoking cessation outcomes and identify the machine learning methods applied in this area. In the current study, multiple searches occurred through December 9, 2022 in MEDLINE, Science Citation Index, Social Science Citation Index, EMBASE, CINAHL Plus, APA PsycINFO, PubMed, Cochrane Central Register of Controlled Trials, and the IEEE Xplore were performed. Inclusion criteria included various machine learning techniques, studies reporting cigarette smoking cessation outcomes (smoking status and the number of cigarettes), and various experimental designs (e.g., cross-sectional and longitudinal). Predictors of smoking cessation outcomes were assessed, including behavioral markers, biomarkers, and other predictors. Our systematic review identified 12 papers fitting our inclusion criteria. In this review, we identified gaps in knowledge and innovation opportunities for machine learning research in the field of smoking cessation.

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.

Identification of smoking cessation phenotypes as a basis for individualized counseling: An explorative real-world cohort study

INTRODUCTION

The rate of relapse in smokers attempting to quit is generally high. In order to maximize the chances of success, it is of interest to better understand the dynamic of lapse and relapse during smoking cessation. We hypothesized that specific behavioral patterns in tobacco consumption could predict the probability of quitting success and could open the possibility for a more targeted approach. The aim of the current study was to characterize clusters of quitting trajectories among participants involved in a smoking cessation program.

METHODS

In a retrospective real-world cohort study, data from 843 consecutive participants between March 2012 and December 2014 were collected. Data consisted of baseline information on demographics, smoking history and dependence level, as well as longitudinal data about tobacco consumption. The correlations among time series were characterized using principal coordinates analysis. Clusters were identified using k-means clustering and the average profile associated with each cluster was computed. The association between the participant's baseline characteristics and clusters of tobacco consumption was assessed.

RESULTS

Four distinct clusters of transition phenotypes were identified based on tobacco consumption during the cessation phase: the long-term quitters (30%), the persistent smokers/reducers (44%), the short-term returners (16%) and the repeated try and failers (10%). Significant between-cluster differences were found in terms of baseline characteristics and smoking behavior during follow-up.

CONCLUSIONS

Meaningful clusters of quitting trajectories could be identified. Such specific behavioral patterns were useful for the application of personalized assistance needed to achieve successful and long-term cessation.

Religiosity is Associated with Motivation to Start and Stop Smoking Among Adolescent Students in Brazil

This study aimed to estimate associations between adolescents' religiosity and their motivation to start and stop smoking. A school survey was carried out in Midwestern Brazil. Participants were never-smokers (n = 2073) and smokers (n = 116) aged 13-19 who answered a questionnaire. Religiosity was measured with the Duke Religion Index, and motivation with questions based on the Prime Theory of Motivation. Organizational, non-organizational, and intrinsic religiosity were associated with motivation to start smoking among never-smokers. Intrinsic religiosity was associated with smokers' motivation to quit. Findings indicate the protective role of religiosity in the motivational system that prompts smoking initiation and cessation during adolescence.

Shared Decision-Making Model for Adolescent Smoking Cessation: Pilot Cohort Study

The control of tobacco use in adolescents is a critical public health issue that has long been studied, yet has received less attention than adult smoking cessation. Shared decision making (SDM) is a method that highlights a patient’s preference-based medical decision. This study aimed to investigate the effects of a novel SDM-integrated cessation model and early intervention on the control of tobacco use in adolescents. The SDM-integrated model provides psychological support and motivational enhancement by involving the participants in making decisions and plans through the three-talk model of the SDM principle. The primary outcome shows positive effects by both increasing the cessation rate (a 25% point abstinence rate at 3 month follow up) and decreasing the number of cigarettes smoked per day (60% of the participants at 3 month follow up) among 20 senior high school participants (mean age, 17.5 years; 95% male). The results also show that the model can achieve the goal of SDM and optimal informed decision making, based on the positive SURE test and the satisfaction survey regarding the cessation model. The SDM cessation model can be further applied to different fields of adolescent substance cessation, yielding beneficial effects regarding reducing potential health hazards. The dissemination of the model may help more adolescent smokers to cease smoking worldwide.

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.

TABADO 2 : une stratégie d'accompagnement au sevrage tabagique des adolescents en milieu scolaire

La consommation de tabac est une des premières causes de mortalité évitable au niveau mondial. La dépendance au tabac s'observe dès l'adolescence. En complément des actions visant à prévenir l'entrée des jeunes dans le tabagisme, il est donc nécessaire de développer des stratégies spécifiques pour les adolescents déjà fumeurs. Un programme d'accompagnement au sevrage tabagique pour adolescents, TABADO, a montré son efficacité lors d'un essai contrôlé mené dans des centres de formation des apprentis en 2007/2009. En 2018, l'Institut national du cancer a souhaité généraliser TABADO au niveau national et l'étendre aux lycées professionnels. Pour accompagner ce processus de mise à l'échelle, il était essentiel d'élaborer la théorie d'intervention et d'analyser la transférabilité de TABADO en conditions de vie réelle et dans de nouveaux contextes, et de proposer les adaptations correspondantes. Une recherche spécifique a été conduite et détaillée par ailleurs. L'objectif de cette publication pragmatique est de présenter la nouvelle stratégie TABADO 2 aux acteurs et décideurs de santé publique, et le guide afférent développé pour les accompagner dans la mise en œuvre.Une étude de cas multiples (n = 10) a été menée à partir de la mise en œuvre de TABADO dans trois régions françaises, qui reposait sur des observations, entretiens et séminaires de retour d'expérience. Elle a mis en évidence l'adaptation de l'intervention aux contextes locaux, ainsi que de nouveaux leviers interventionnels mis en œuvre. De plus, les investigations ont montré que pour instaurer un climat favorable à la démarche d'arrêt de la consommation de tabac et soutenir son maintien sur la durée, il était nécessaire d'inscrire TABADO dans une stratégie globale de l'établissement scolaire et de son environnement. Cette démarche a permis de proposer une transformation de l'intervention TABADO en une nouvelle stratégie - TABADO 2 - et de proposer un guide pour accompagner son déploiement national.