Tobacco cessation interventions for young people

The Bucket Approach: Developing and Implementing an On-line Training Program in Tobacco Dependence Interventions Tailored for Behavioral Health Clinicians

People coping with a mental illness and/or addictive disorders have a very high prevalence of smoking cigarettes. The Bucket Approach, a free online training, tailors evidence-based tobacco dependence interventions for behavioral health clinicians to increase the likelihood that they will also address the tobacco use of their patients. From October 2019 through August 2021, 999 people enrolled in and 447 people completed the training. Individuals who completed the training evaluated it highly with an overall mean score of 8.4 (scale = 1 for very poor to 10 for very good). 3- and 6-month follow-up surveys documented continued impact. The training resulted in substantial changes in beliefs about treating tobacco dependence. For example, before training, 18.3% of trainees strongly agreed with the statement, "The skills currently possessed by behavioral health clinicians can be easily applied to the treatment of tobacco dependence." This increased to 40.7% at the end of training.

A multicomponent psychosocial intervention to reduce substance use by adolescents involved in the criminal justice system: the RISKIT-CJS RCT

Background

Substance use and offending are related in the context of other disinhibitory behaviours. Adolescents involved in the criminal justice system constitute a particularly vulnerable group, with a propensity to engage in risky behaviour that has long-term impact on their future health and well-being. Previous research of the RISKIT programme provided evidence of a potential effect in reducing substance use and risky behaviour in adolescents.

Objectives

To evaluate the clinical effectiveness and cost-effectiveness of a multicomponent psychosocial intervention compared with treatment as usual in reducing substance use for substance-using adolescents involved in the criminal justice system.

Design

A mixed-methods, prospective, pragmatic, two-arm, randomised controlled trial with follow-up at 6 and 12 months post randomisation.

Setting

The study was conducted across youth offending teams, pupil referral units and substance misuse teams across four areas of England (i.e. South East, London, North West, North East).

Participants

Adolescents aged between 13 and 17 years (inclusive), recruited between September 2017 and June 2020.

Interventions

Participants were randomised to treatment as usual or to treatment as usual in addition to the RISKIT-Criminal Justice System (RISKIT-CJS) programme. The RISKIT-CJS programme was a multicomponent intervention and consisted of two individual motivational interviews with a trained youth worker (lasting 45 minutes each) and two group sessions delivered over half a day on consecutive weeks.

Main outcome measures

At 12 months, we assessed per cent days abstinent from substance use over the previous 28 days. Secondary outcome measures included well-being, motivational state, situational confidence, quality of life, resource use and fidelity of interventions delivered.

Results

A total of 693 adolescents were assessed for eligibility, of whom 505 (73%) consented. Of these, 246 (49%) were allocated to the RISKIT-CJS intervention and 259 (51%) were allocated to treatment as usual only. At month 12, the overall follow-up rate was 57%: 55% in the RISKIT-CJS arm and 59% in the treatment-as-usual arm. At month 12, we observed an increase in per cent days abstinent from substances in both arms of the study, from 61% to 85%, but there was no evidence that the RISKIT-CJS intervention was superior to treatment as usual. A similar pattern was observed for secondary outcomes. The RISKIT-CJS intervention was not found to be any more cost-effective than treatment as usual. The qualitative research indicated that young people were positive about learning new skills and acquiring new knowledge. Although stakeholders considered the intervention worthwhile, they expressed concern that it came too late for the target population.

Limitations

Our original aim to collect data on offences was thwarted by the onset of the COVID-19 pandemic, and this affected both the statistical and economic analyses. Although 214 (87%) of the 246 participants allocated to the RISKIT-CJS intervention attended at least one individual face-to-face session, 98 (40%) attended a group session and only 47 (19%) attended all elements of the intervention.

Conclusions

The RISKIT-CJS intervention was no more clinically effective or cost-effective than treatment as usual in reducing substance use among adolescents involved in the criminal justice system.

Future research

The RISKIT-CJS intervention was considered more acceptable, and adherence was higher, in pupil referral units and substance misuse teams than in youth offending teams. Stakeholders in youth offending teams thought that the intervention was too late in the trajectory for their population.

Trial registration

This trial is registered as ISRCTN77037777.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 11, No. 3. See the NIHR Journals Library website for further project information.

Non-genetic risk and protective factors and biomarkers for neurological disorders: a meta-umbrella systematic review of umbrella reviews

BACKGROUND

The etiologies of chronic neurological diseases, which heavily contribute to global disease burden, remain far from elucidated. Despite available umbrella reviews on single contributing factors or diseases, no study has systematically captured non-purely genetic risk and/or protective factors for chronic neurological diseases.

METHODS

We performed a systematic analysis of umbrella reviews (meta-umbrella) published until September 20th, 2018, using broad search terms in MEDLINE, SCOPUS, Web of Science, Cochrane Database of Systematic Reviews, Cumulative Index to Nursing and Allied Health Literature, ProQuest Dissertations & Theses, JBI Database of Systematic Reviews and Implementation Reports, DARE, and PROSPERO. The PRISMA guidelines were followed for this study. Reference lists of the identified umbrella reviews were also screened, and the methodological details were assessed using the AMSTAR tool. For each non-purely genetic factor association, random effects summary effect size, 95% confidence and prediction intervals, and significance and heterogeneity levels facilitated the assessment of the credibility of the epidemiological evidence identified.

RESULTS

We identified 2797 potentially relevant reviews, and 14 umbrella reviews (203 unique meta-analyses) were eligible. The median number of primary studies per meta-analysis was 7 (interquartile range (IQR) 7) and that of participants was 8873 (IQR 36,394). The search yielded 115 distinctly named non-genetic risk and protective factors with a significant association, with various strengths of evidence. Mediterranean diet was associated with lower risk of dementia, Alzheimer disease (AD), cognitive impairment, stroke, and neurodegenerative diseases in general. In Parkinson disease (PD) and AD/dementia, coffee consumption, and physical activity were protective factors. Low serum uric acid levels were associated with increased risk of PD. Smoking was associated with elevated risk of multiple sclerosis and dementia but lower risk of PD, while hypertension was associated with lower risk of PD but higher risk of dementia. Chronic occupational exposure to lead was associated with higher risk of amyotrophic lateral sclerosis. Late-life depression was associated with higher risk of AD and any form of dementia.

CONCLUSIONS

We identified several non-genetic risk and protective factors for various neurological diseases relevant to preventive clinical neurology, health policy, and lifestyle counseling. Our findings could offer new perspectives in secondary research (meta-research).

A Breath of Knowledge: Overview of Current Adolescent E-cigarette Prevention and Cessation Programs

PURPOSE

Adolescent use of electronic cigarettes (e-cigarettes) has risen rapidly, which is concerning given the health effects of e-cigarettes and youth susceptibility to nicotine addiction. It is critical that efforts to educate, prevent, and reduce adolescent use of e-cigarettes are developed and evaluated. The purpose of this paper is to review available current prevention and cessation programs.

FINDINGS

A web-based search of currently available e-cigarette prevention and cessation/treatment programs was conducted using Google in May of 2020. Programs were then reviewed on whether they included theory- and evidence-based practices of effective adolescent prevention and cessation programs. Eight prevention programs, seven cessation programs, and one program that addressed both prevention and cessation were identified and included in this review. Most prevention programs included the importance of understanding flavored e-cigarette products, addressed industry-targeted marketing, included social learning activities to develop refusal skills, delivered free-of-cost, available online, and explicitly stated their incorporation of theory. Five prevention programs and two cessation programs had empirically evaluated their e-cigarette-related components.

CONCLUSIONS

Although the programs reviewed largely incorporated theory and included key components known to be effective, there are some gaps in the programs' overall ability to prevent and stop adolescents from using e-cigarettes, such as lack of dedicated e-cigarette materials. More evidence-based tools, resources, and evaluations are needed to best inform adolescent e-cigarette cessation. Addressing the gaps that existing prevention and cessation programs present requires intervening at multiple systematic levels, conducting more rigorous program evaluations, and bolstering the availability of cessation programs.

Effect of Additional Motivational Interviewing on Smoking Abstinence for 1-Year among Korean Adolescents: Results from A Comparative Retrospective Study in Quitline

The aim of this study was to evaluate the effect of additional motivational enhancement through telephone-based counseling on short- and long-term smoking abstinence among Korean adolescents.

METHODS

A comparative retrospective study was conducted based on the longitudinal follow up in Quitline from 2010 to 2017. A total of 533 and 178 adolescent smokers voluntarily participated in the 1-year quitting counseling only (group A, who were ready to quit) and the additional 4-week motivational interviewing before 1-year quitting counseling (group B, who were ambivalent about quitting), respectively. The outcomes were self-reported continuous abstinence at 30-day, 6-month, and 1-year follow up. Logistic regression was applied to estimate the effect of potential factors, including motivational enhancement, on cessation outcome.

RESULTS

At baseline, adolescents in group B had a lower motivation to quit than those in group A (p < 0.001). The successful quit rates at 30-day, 6-month, and 1-year follow up were 37.2%, 12.8%, and 11.4% in group A and 33.7%, 15.2%, and 11.2% in group B, respectively. After adjusting factors as appropriate, successful quit rates in group B were not significantly different from the rates in group A. Higher self-efficacy increased the successful quit rate at 30-day, 6-month, and 1-year follow up, similar in subgroup analysis by gender. Never-drinking showed significant association with 30-day successful quit in the whole population and among boys. The lower number of smoking triggers was associated with an increased 30-day successful quit rate among boys only.

CONCLUSIONS

Counseling for motivational enhancement could be a promising approach for better quitting outcomes. Improving self-efficacy and eliminating smoking triggers should be continuously strengthened during the quitting process.

How can primary care practitioners address substance use by adolescents? A position paper of the EUROPEAN academy of PAEDIATRICS

The objective of this article is to review how primary care providers - paediatricians, family practitioners, nurse practitioners - could address the use of substances by adolescents and respond to problematic behaviours and situations. Given the highly addictive properties of nicotine, adolescents should be supported in avoiding any consumption of tobacco or quitting if they already do so. Screening and investigation of substance use is usually not difficult, provided that it is processed in a neutral and empathetic atmosphere and securing confidentiality if the adolescent asks for it. Any type of substance use is potentially linked with adverse events such as injuries, violence, unplanned and unsafe sexual experience, alcoholic coma, 'bad trips' or unpleasant psychological experiences. As such, substance use should be identified and openly discussed with the adolescent. Moderate intermittent recreational use of legal and illegal substances (mainly alcohol and cannabis) should be carefully monitored over time, as it can lead to problematic use. Problematic use and substance use disorder require various interventions, including motivational interviewing, family counselling and psychotherapy, especially when substance use is linked with mental health disorders. Despite the importance of confidential care, parents or caregivers should be involved in problematic situations as much as possible. What is known: • While problematic use of substances is transient amongst many adolescents, it may be a threat to health and school/professional functioning • Primary care providers (PCPs) can address queries or offer preventive interventions to adolescents who use substances What is new: • Some interview tools can assist PCPs efficiently to identify problematic users of substances • There are effective approaches that PCPs can use to address problematic use by adolescent patients.

Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review

CONTEXT

Recent data suggest that the onset of cigarette smoking is now more likely during young adulthood than adolescence. Additionally, the landscape of delivering smoking-cessation interventions has changed in the past decade, with the emergence of mobile phone and web-based approaches. The objective of this study is to update a 2010 systematic review of smoking-cessation interventions for U.S. young adults (aged 18-24 years).

EVIDENCE ACQUISITION

Electronic searches were conducted in CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, Scopus, and Sociological Abstracts to identify eligible interventions from August 31, 2009 through July 17, 2019. Two independent coders critically evaluated the methodology and findings of all retrieved articles. Data analysis was conducted in 2019.

EVIDENCE SYNTHESIS

A total of 17 RCTs and 1 nonrandomized study were added to the original 14 studies meeting the inclusion criteria for this review; these studies varied with respect to sample size, intervention, assessed outcomes, and smoking measures. Of the new studies, 3 increased cessation in the short term, 2 at 6 months, and 1 had short-term effects on cigarette reduction. Pooled analyses supported the use of interventions employing social cognitive theory, quitline counseling, and text message programs for short-term cessation in young adults.

CONCLUSIONS

Of 32 included studies, 9 demonstrated efficacy of smoking cessation or reduction in U.S. young adults. There were no eligible pharmacologic interventions included in this review. Findings support the promise of 3 approaches for young adult cessation not included in the prior review: text message interventions, sustained quit-and-win contests, and multiple behavior interventions.

Smoking Social Norms Among Young Adults in New York City

More than half of young adult (YA) (ages 18-26) smokers are non-daily smokers. While standard cessation methods are generally successful with adults and daily smokers, there is evidence that they are not as successful among non-daily smokers or young adults. Additionally, YA smokers are also in a transition period to regular smoking, making research on understanding how interpersonal and environmental factors affect this group of smokers critical. Randomized time location sampling was used to create a sample of New York City YA bar patrons between June and November 2013, who completed a self-administered survey (1,916 surveys). Questions were asked about perceived smoking social norms, stigma, behaviors, and demographics. Overall, almost half of the YA reported being current smokers (44.1%); one-third were non-daily smokers (36.7%) and less than ten percent were daily smokers (7.4%). Non-daily smokers compared with daily smokers had greater odds of believing New Yorkers disapproved of smoking [adjusted odds ratio (OR_adj 1.76, 95 % CI 1.10-2.79)], keeping tobacco a secret from certain people (OR_adj 1.84, 1.14-2.96) and feeling guilty when smoking (OR_adj: 2.54; 1.45-4.45). Non-daily smokers had 41% lower odds of reporting how people who are important to you disapproved of smoking than daily smokers (OR_adj: 0.59; 0.38-0.94). Further studies of interpersonal/environmental factors among YA smokers may support modifications to cessation programs that result in more successful YA quit attempts.

A recommender system to quit smoking with mobile motivational messages: study protocol for a randomized controlled trial

Background

Smoking cessation is the most common preventative for an array of diseases, including lung cancer and chronic obstructive pulmonary disease. Although there are many efforts advocating for smoking cessation, smoking is still highly prevalent. For instance, in the USA in 2015, 50% of all smokers attempted to quit smoking, and only 5–7% of them succeeded – with slight deviation depending on external assistance. Previous studies show that computer-tailored messages which support smoking abstinence are effective. The combination of health recommender systems and behavioral-change theories is becoming increasingly popular in computer-tailoring. The objective of this study is to evaluate patients’s smoking cessation rates by means of two randomized controlled trials using computer-tailored motivational messages. A group of 100 patients will be recruited in medical centers in Taiwan (50 patients in the intervention group, and 50 patients in the control group), and a group of 1000 patients will be recruited on-line (500 patients in the intervention group, and 500 patients in the control group). The collected data will be made available to the public in an open-source data portal.

Methods

Our study will gather data from two sources. The first source is a clinical pilot in which a group of patients from two Taiwanese medical centers will be randomly assigned to either an intervention or a control group. The intervention group will be provided with a mobile app that sends motivational messages selected by a recommender system that takes the user profile (including gender, age, motivations, and social context) and similar users’ opinions. For 6 months, the patients’ smoking activity will be followed up, and confirmed as “smoke-free” by using a test that measures expired carbon monoxide and urinary cotinine levels. The second source will be a public pilot in which Internet users wanting to quit smoking will be able to download the same mobile app as used in the clinical pilot. They will be randomly assigned to a control group that receives basic motivational messages or to an intervention group, that receives personalized messages by the recommender system. For 6 months, patients in the public pilot will be assessed periodically with self-reported questionnaires.

Discussion

This study will be the first to use the I-Change behavioral-change model in combination with a health recommender system and will, therefore, provide relevant insights into computer-tailoring for smoking cessation. If our hypothesis is validated, clinical practice for smoking cessation would benefit from the use of our mobile solution.

Trial registration

ClinicalTrials.gov, ID: NCT03108651. Registered on 11 April 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-3000-1) contains supplementary material, which is available to authorized users.

Role of smoking intention in tobacco use reduction: A mediation analysis of an effective classroom-based prevention/cessation intervention for adolescents

INTRODUCTION

Although some school-based tobacco cessation and prevention programs have been proven to be effective, there remains a lack of understanding of how these programs succeed.

METHODS

This longitudinal study aimed to test smoking intention as a mediator of Project EX's intervention efficacy to reduce tobacco use. Using a computerized random number generator, six high schools located in the Mediterranean coast were randomly selected to participate in the program condition (Spanish version of Project EX) or the waiting-list control group with baseline, immediate-posttest, and 12-month follow-up assessments. At baseline, 685 adolescents aged 14-20 years (mean age: 14.87; SD = 0.92; 47.4% were females) were evaluated using self-administered tests of tobacco, and smoking intention. A biomarker of smoke inhalation, a measurement of exhaled carbon monoxide (ECM), was used. Mediation analyses were conducted using the PROCESS v2.12 macro for Windows.

RESULTS

Project EX had a significant effect on smoking intention. Indirect effects indicated that Project EX reduced the ECM level, and number of cigarettes used.

CONCLUSIONS

This is the first Spanish study that explored intention as a mediator of the long-term efficacy of Project EX to reduce tobacco use in adolescents. Results suggested that interventions that reduce consumption intention at short-term are more likely to be successful in decreasing tobacco use in the long-term.

The TOBg Tobacco Treatment Guidelines for Adolescents: A real-world pilot study

INTRODUCTION

We conducted a pilot study to: 1) obtain feedback from prevention practitioners in terms of their satisfaction, knowledge, and self-efficacy following exposure to the Tobacco Treatment Guidelines for Adolescents (TOBg Guidelines); and 2) examine the effectiveness of a school-based intervention based on the TOBg Guidelines on quit rates among a sample of adolescent tobacco users.

METHODS

Two parallel studies were conducted. In Study 1, prevention practitioners were exposed to a 1-day training in the TOBg Guidelines with assessment occurring before, immediately after, and at 6 months following the training. In Study 2, participating adolescent smokers were exposed to a 3-session group-based smoking cessation intervention that drew on the TOBg Guidelines and was delivered by practitioners trained in Study 1. The primary outcome measure was self-reported smoking status assessed at 1 month and at 6 months following baseline.

RESULTS

A total of 18 prevention practitioners and 65 adolescent tobacco users participated in the pilot study. The majority of practitioners reported high rates of satisfaction with the TOBg Guidelines and indicated that the guidelines positively influenced the manner in which they addressed tobacco use with adolescents. Prevention practitioners’ self-efficacy for intervening with adolescent smokers was also significantly increased following exposure to the TOBg Guidelines and training. Among adolescents exposed to the school-based intervention, 62.5% and 23.1% had reduced smoking by 50% or more at 1 month and at 6 months follow-up, respectively. No significant change in smoking abstinence was documented.

CONCLUSIONS

The TOBg Guidelines for adolescent smokers were well received by prevention practitioners and were feasible to implement in a real-world school setting.

Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol

BACKGROUND

Smoking is one of the most avoidable health risk factors, and yet the quitting success rates are low. The usage of tailored health messages to support quitting has been proved to increase quitting success rates. Technology can provide convenient means to deliver tailored health messages. Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items-for instance, motivational messages aimed at smoking cessation-for each user based on his or her profile. The goals of this study are to analyze the perceived quality of an mHealth recommender system aimed at smoking cessation, and to assess the level of engagement with the messages delivered to users via this medium.

METHODS

Patients participating in a smoking cessation program will be provided with a mobile app to receive tailored motivational health messages selected by a health recommender system, based on their profile retrieved from an electronic health record as the initial knowledge source. Patients' feedback on the messages and their interactions with the app will be analyzed and evaluated following an observational prospective methodology to a) assess the perceived quality of the mobile-based health recommender system and the messages, using the precision and time-to-read metrics and an 18-item questionnaire delivered to all patients who complete the program, and b) measure patient engagement with the mobile-based health recommender system using aggregated data analytic metrics like session frequency and, to determine the individual-level engagement, the rate of read messages for each user. This paper details the implementation and evaluation protocol that will be followed.

DISCUSSION

This study will explore whether a health recommender system algorithm integrated with an electronic health record can predict which tailored motivational health messages patients would prefer and consider to be of a good quality, encouraging them to engage with the system. The outcomes of this study will help future researchers design better tailored motivational message-sending recommender systems for smoking cessation to increase patient engagement, reduce attrition, and, as a result, increase the rates of smoking cessation.

TRIAL REGISTRATION

The trial was registered at clinicaltrials.org under the ClinicalTrials.gov identifier NCT03206619 on July 2nd 2017. Retrospectively registered.

Helping Smokers with Severe Mental Illness Who Do Not Want to Quit

BACKGROUND

People with a severe and persistent mental illness are far more likely to smoke than others. While a large portion would like to quit, they are less likely to make quit attempts and succeed.

OBJECTIVE

This study used an Randomized Controlled Trial (RCT) to test an intervention designed to increase engagement in cessation treatment, quit attempts, and quitting in smokers who did not want to quit in the next 30 days. It also compared these smokers with those who were motivated to quit in the next 30 days.

METHODS

Participants (N = 222), were smokers with significant mental illness receiving intensive outpatient care from Wisconsin Community Support Programs who were not interested in quitting in the next 30 days. They were randomly assigned to either an intervention group or an attention control group. The intervention, administered during four weekly sessions, included a motivational element, components designed to prepare the smoker for a quit attempt, and pre-quit nicotine patch. Additionally, 48 smokers motivated to quit in the next 30 days served as a comparison group.

RESULTS

Compared to control participants, smokers receiving the intervention were more likely to be abstinent at the three month follow-up (biochemically verified, intent to treat, 8.5% vs. 1.0%, respectively, p = .01). They were also more likely to accept four more quitting preparation sessions (intent to treat, 50.8% vs 29.2%, respectively, p < .001) but were not more likely to call a telephone tobacco quit line. Conclusion/Importance: Brief motivational interventions increased engagement in cessation treatment and abstinence among smokers with signification mental illness.

Tobacco cessation interventions for young people

BACKGROUND

Most tobacco control programmes for adolescents are based around prevention of uptake, but teenage smoking is still common. It is unclear if interventions that are effective for adults can also help adolescents to quit. This is the update of a Cochrane Review first published in 2006.

OBJECTIVES

To evaluate the effectiveness of strategies that help young people to stop smoking tobacco.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register in June 2017. This includes reports for trials identified in CENTRAL, MEDLINE, Embase and PsyclNFO.

SELECTION CRITERIA

We included individually and cluster-randomized controlled trials recruiting young people, aged under 20 years, who were regular tobacco smokers. We included any interventions for smoking cessation; these could include pharmacotherapy, psycho-social interventions and complex programmes targeting families, schools or communities. We excluded programmes primarily aimed at prevention of uptake. The primary outcome was smoking status after at least six months' follow-up among those who smoked at baseline.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed the eligibility of candidate trials and extracted data. We evaluated included studies for risk of bias using standard Cochrane methodology and grouped them by intervention type and by the theoretical basis of the intervention. Where meta-analysis was appropriate, we estimated pooled risk ratios using a Mantel-Haenszel fixed-effect method, based on the quit rates at six months' follow-up.

MAIN RESULTS

Forty-one trials involving more than 13,000 young people met our inclusion criteria (26 individually randomized controlled trials and 15 cluster-randomized trials). We judged the majority of studies to be at high or unclear risk of bias in at least one domain. Interventions were varied, with the majority adopting forms of individual or group counselling, with or without additional self-help materials to form complex interventions. Eight studies used primarily computer or messaging interventions, and four small studies used pharmacological interventions (nicotine patch or gum, or bupropion). There was evidence of an intervention effect for group counselling (9 studies, risk ratio (RR) 1.35, 95% confidence interval (CI) 1.03 to 1.77), but not for individual counselling (7 studies, RR 1.07, 95% CI 0.83 to 1.39), mixed delivery methods (8 studies, RR 1.26, 95% CI 0.95 to 1.66) or the computer or messaging interventions (pooled RRs between 0.79 and 1.18, 9 studies in total). There was no clear evidence for the effectiveness of pharmacological interventions, although confidence intervals were wide (nicotine replacement therapy 3 studies, RR 1.11, 95% CI 0.48 to 2.58; bupropion 1 study RR 1.49, 95% CI 0.55 to 4.02). No subgroup precluded the possibility of a clinically important effect. Studies of pharmacotherapies reported some adverse events considered related to study treatment, though most were mild, whereas no adverse events were reported in studies of behavioural interventions. Our certainty in the findings for all comparisons is low or very low, mainly because of the clinical heterogeneity of the interventions, imprecision in the effect size estimates, and issues with risk of bias.

AUTHORS' CONCLUSIONS

There is limited evidence that either behavioural support or smoking cessation medication increases the proportion of young people that stop smoking in the long-term. Findings are most promising for group-based behavioural interventions, but evidence remains limited for all intervention types. There continues to be a need for well-designed, adequately powered, randomized controlled trials of interventions for this population of smokers.

An open-label pilot study of an intervention using mobile phones to deliver contingency management of tobacco abstinence to high school students

This pilot study assessed the feasibility, acceptability, and preliminary efficacy of a smoking cessation intervention that used mobile phones to remotely deliver reinforcements contingent on tobacco abstinence (contingency management [CM]) and weekly in-person cognitive-behavioral therapy to adolescent smokers. Daily adolescent smokers (N = 15; 12 completed study procedures, 3 dropped out) were recruited to participate in a 4-week study. During the first 2 weeks, daily text messages sent at random times prompted participants to transmit a video of themselves providing a carbon monoxide (CO) sample. During the last 2 weeks, text messages sent on 3 randomly chosen days each week prompted participants to transmit a video of themselves providing a saliva sample. Negative samples (CO ≤8 ppm; cotinine ≤100 ng/ml) were reinforced with monetary incentives. Feasibility was assessed using the number of on-time, valid videos, and acceptability was determined using participant perceptions of the intervention. Seven-day point-prevalence (PP) abstinence (self-reported abstinence, cotinine <100 ng/ml) was assessed at end of treatment (EOT) and at a 1-month follow-up. The study findings indicate that remote delivery of CM using mobile phones was feasible (85.8% of the CO videos and 67% of the saliva cotinine videos were on time) and acceptable (positive perceptions of the CM procedures). Seven-day PP was 60% at EOT and 46.7% at the follow-up. Although larger randomized controlled trials are needed to evaluate efficacy, this pilot study suggests that the use of mobile phones to deliver CM for smoking cessation among adolescent smokers was acceptable and feasible. (PsycINFO Database Record

Pragmatic randomised controlled trial to evaluate the effectiveness and cost effectiveness of a multi-component intervention to reduce substance use and risk-taking behaviour in adolescents involved in the criminal justice system: A trial protocol (RISKIT-CJS)

BACKGROUND

Adolescence is a critical developmental stage when young people make lifestyle choices that have the potential to impact on their current and future health and social wellbeing. The relationship between substance use and criminal activity is complex but there is clear evidence that the prevalence of problematic substance use is far higher among adolescent offenders than the general adolescent population. Adolescent offenders are a marginalized and vulnerable population who are significantly more likely to experience health and social inequalities in later life than their non-offending peers. There is a paucity of evidence on effective interventions to address substance use and risk-taking behaviours in adolescent offender populations but it is clear that preventative or abstinence orientated interventions are not effective. RISKIT-CJS is an intervention developed in collaboration with young people taking account of the current best evidence. Feasibility and pilot studies have found the intervention addresses the needs of adolescents, is acceptable and has demonstrated potential in reducing substance use and risk-taking behavior.

METHODS

The study is a mixed method, two-armed, prospective, pragmatic randomized controlled trial with individual randomisation to either treatment as usual alone or the RISKIT-CJS intervention in addition to treatment as usual. Adolescents, aged 13 to 17 years inclusive, engaged with the criminal justice system who are identified as having problematic substance use are eligible to participate. The study will be conducted across three geographical areas; South and South East England, London and North East England between March 2017 and February 2019.

DISCUSSION

The study represents an ambitious programme of work to address an area of need for a marginalized and vulnerable population.

TRIAL REGISTRATION

ISRCTN77037777 registered 15/09/2016.

Two-year Effects of a Classroom-based Smoking Prevention and Cessation Intervention Program

BACKGROUND

Project EX is a classroom-based smoking prevention and cessation intervention program that has been well evaluated and designed for assessing the prevention and cessation effects among adolescents in Spain. However, its long-term efficacy is still unknown. This study deals with the outcomes of a 2-year follow-up evaluation of Project EX.

METHODS

The intervention was tested using a clustered randomized controlled trial involving 1,546 Spanish students from 3 program schools and 3 control schools. At the end of the 2-year follow-up period, 722 subjects had completed the questionnaires (266 in the control condition and 456 in the program condition) administered to them.

RESULTS

Compared to the control condition, the program condition revealed a greater reduction in nicotine dependence (p = 0.04), smoking intention (p = 0.02), and in the number of cigarettes smoked during the previous month (p = 0.03). The CO monitor repeated assessments revealed a significant decrease of ppm levels in the program group (p < 0.001). Intent-to-treat quit rates were 14.28 and 0%, respectively, for the program and control conditions.

CONCLUSIONS

This study provides evidence about the long-term effectiveness of the Project EX classroom-based program for smoking prevention and cessation among adolescents in Spain.

Applying Psychological Theories to Promote Long-Term Maintenance of Health Behaviors

Behavioral health theory provides a framework for researchers to design, implement, and evaluate the effects of health promotion programs. However, limited research has examined theories used in interventions to promote long-term maintenance of health behaviors. The purpose of this review was to evaluate the available literature and identify prominent behavioral health theories used in intervention research to promote maintenance of health behaviors. We reviewed theories used in intervention research assessing long-term maintenance (≥ 6 months post-intervention) of physical activity, weight loss, and smoking cessation. Five prominent behavioral theories were referenced by the 34 studies included in the review: Self-Determination Theory, Theory of Planned Behavior, Social Cognitive Theory, Transtheoretical Model, and Social Ecological Model. Descriptions and examples of applications of these theories are provided. Implications for future research are discussed.

Cardiovascular Health Promotion in Children: Challenges and Opportunities for 2020 and Beyond: A Scientific Statement From the American Heart Association

This document provides a pediatric-focused companion to "Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association's Strategic Impact Goal Through 2020 and Beyond," focused on cardiovascular health promotion and disease reduction in adults and children. The principles detailed in the document reflect the American Heart Association's new dynamic and proactive goal to promote cardiovascular health throughout the life course. The primary focus is on adult cardiovascular health and disease prevention, but critical to achievement of this goal is maintenance of ideal cardiovascular health from birth through childhood to young adulthood and beyond. Emphasis is placed on the fundamental principles and metrics that define cardiovascular health in children for the clinical or research setting, and a balanced and critical appraisal of the strengths and weaknesses of the cardiovascular health construct in children and adolescents is provided. Specifically, this document discusses 2 important factors: the promotion of ideal cardiovascular health in all children and the improvement of cardiovascular health metric scores in children currently classified as having poor or intermediate cardiovascular health. Other topics include the current status of cardiovascular health in US children, opportunities for the refinement of health metrics, improvement of health metric scores, and possibilities for promoting ideal cardiovascular health. Importantly, concerns about the suitability of using single thresholds to identify elevated cardiovascular risk throughout the childhood years and the limits of our current knowledge are noted, and suggestions for future directions and research are provided.

Re-training automatic action tendencies to approach cigarettes among adolescent smokers: a pilot study

BACKGROUND

This pilot study conducted a preliminary examination of whether Cognitive Bias Modification (CBM), a computerized task to retrain cognitive-approach biases towards smoking stimuli (a) changed approach bias for cigarettes, and (b) improved smoking cessation outcomes in adolescent smokers.

METHODS

Sixty adolescent smokers received four weeks of Cognitive Behavioral Therapy (CBT) for smoking cessation, with CBM (90% avoidance/10% approach for smoking stimuli and 10% avoidance/90% approach for neutral stimuli) or sham (50% avoidance/50% approach for smoking and neutral stimuli) training in the Netherlands (n = 42) and the United States (n = 18).

RESULTS

While we did not observe changes in action tendencies related to CBM, adolescents with higher smoking approach biases at baseline had greater decreases in approach biases at follow-up, compared to adolescents with smoking avoidance biases, regardless of treatment condition (p = 0.01). Intent-to-treat (ITT) analyses showed that CBM, when compared with sham trended toward higher end-of-treatment, biochemically-confirmed, seven-day point prevalence abstinence, (17.2% vs. 3.2%, p = 0.071). ITT analysis also showed that regardless of treatment condition, cotinine level (p = 0.045) and average number of cigarette smoked (p ≤ 0.001) significantly decreased over the course of treatment.

CONCLUSIONS

The findings from this pilot study suggests that re-training approach biases toward cigarettes shows promise for smoking cessation among adolescent smokers. Future research should utilize larger samples and increased distinction between CBM and sham conditions, and examine mechanisms underlying the CBM approach.

Ethnic and Gender differences in Strategies Used by Adolescents when Attempting to Quit or Reduce Smoking

Few adolescent smoking cessation programs have been able to match the success rate found in adult programs. The current study identified smoking cessation strategies used by adolescents and whether strategies differed as a function of ethnic, gender, or individual smoking-level. Participants were 136 high school students who made an attempt to quit or reduce their smoking. Logistic regressions revealed that individuals making an actual quit attempt and African American adolescents used cessation strategies presumed to be more effective. Adolescents are more likely to use informal cessation methods and may need to be provided with more information on effective quit strategies.

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Effective pharmacotherapies are available to help people who are trying to stop smoking, but quitting can still be difficult and providing higher levels of behavioural support may increase success rates further.

OBJECTIVES

To evaluate the effect of increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in May 2015 for records with any mention of pharmacotherapy, including any type of nicotine replacement therapy (NRT), bupropion, nortriptyline or varenicline that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount of behavioural support. The intervention condition had to involve person-to-person contact. The control condition could receive less intensive personal contact, or just written information. We did not include studies that used a contact-matched control to evaluate differences between types or components of support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up.

DATA COLLECTION AND ANALYSIS

One author prescreened search results and two authors agreed inclusion or exclusion of potentially relevant trials. One author extracted data and another checked them.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

Forty-seven studies met the inclusion criteria with over 18,000 participants in the relevant arms. There was little evidence of statistical heterogeneity (I² = 18%) so we pooled all studies in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.17, 95% CI 1.11 to 1.24) for abstinence at longest follow-up. All but four of the included studies provided four or more sessions of support to the intervention group. Most trials used NRT. We did not detect significant effects for studies where the pharmacotherapy was nortriptyline (two trials) or varenicline (one trial), but this reflects the absence of evidence.In subgroup analyses, studies that provided at least four sessions of personal contact for the intervention and no personal contact for the control had slightly larger estimated effects (RR 1.25, 95% CI 1.08 to 1.45; 6 trials, 3762 participants), although a formal test for subgroup differences was not significant. Studies where all intervention counselling was via telephone (RR 1.28, 95% CI 1.17 to 1.41; 6 trials, 5311 participants) also had slightly larger effects, and the test for subgroup differences was significant, but this subgroup analysis was not prespecified. In this update, the benefit of providing additional behavioural support was similar for the subgroup of trials in which all participants, including controls, had at least 30 minutes of personal contact (RR 1.18, 95% CI 1.06 to 1.32; 21 trials, 5166 participants); previously the evidence of benefit in this subgroup had been weaker. This subgroup was not prespecified and a test for subgroup differences was not significant. We judged the quality of the evidence to be high, using the GRADE approach. We judged a small number of trials to be at high risk of bias on one or more domains, but findings were not sensitive to their exclusion.

AUTHORS' CONCLUSIONS

Providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking has a small but important effect. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 25%, based on a pooled estimate from 47 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support.

Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research

Adverse and suboptimal health behaviors and habits are responsible for approximately 40 % of preventable deaths, in addition to their unfavorable effects on quality of life and economics. Our current understanding of human behavior is largely based on static "snapshots" of human behavior, rather than ongoing, dynamic feedback loops of behavior in response to ever-changing biological, social, personal, and environmental states. This paper first discusses how new technologies (i.e., mobile sensors, smartphones, ubiquitous computing, and cloud-enabled processing/computing) and emerging systems modeling techniques enable the development of new, dynamic, and empirical models of human behavior that could facilitate just-in-time adaptive, scalable interventions. The paper then describes concrete steps to the creation of robust dynamic mathematical models of behavior including: (1) establishing "gold standard" measures, (2) the creation of a behavioral ontology for shared language and understanding tools that both enable dynamic theorizing across disciplines, (3) the development of data sharing resources, and (4) facilitating improved sharing of mathematical models and tools to support rapid aggregation of the models. We conclude with the discussion of what might be incorporated into a "knowledge commons," which could help to bring together these disparate activities into a unified system and structure for organizing knowledge about behavior.

Cigarette smoke exposure during adolescence enhances sensitivity to the rewarding effects of nicotine in adulthood, even after a long period of abstinence

Adolescence is a period of enhanced vulnerability to the motivational properties of tobacco/cigarette smoking. Several studies have suggested that smoking initiation during this period will more likely lead to long-lasting cigarette or nicotine addiction. In the present study, we investigated the influences of adolescent cigarette smoke or nicotine exposure on the rewarding effects of nicotine, particularly whether these influences persist even after a long period of abstinence. Towards this, adolescent and adult Sprague-Dawley rats were repeatedly exposed to cigarette smoke or nicotine, for 14 days, and then were subjected to a 1-month abstinence period. Thereafter, the rewarding effects of nicotine were evaluated through the conditioned place preference (CPP) and self-administration (SA) tests. Even after a 1-month abstinence period, rats pre-exposed to either nicotine or cigarette smoke demonstrated enhanced CPP for the higher dose (0.6 mg/kg) of nicotine. Notably, cigarette smoke-preexposed adolescent rats, now adults, showed CPP for both 0.2 and 0.6 mg/kg dose of nicotine. Moreover, only these rats (pre-exposed to cigarette smoke during adolescence) showed significant acquisition and maintenance of nicotine (0.03 mg/kg/infusion) SA. These results suggest that cigarette smoke exposure during adolescence enhances sensitivity to the rewarding effects of nicotine in adulthood, even after a long period of abstinence. This may be a factor in the high rates of nicotine addiction and dependence observed in smokers who started during adolescence. More importantly, our findings highlight the enduring consequences of adolescent-onset cigarette smoking and the need to protect this vulnerable population.

Gender differences in a randomized controlled trial treating tobacco use among adolescents and young adults with mental health concerns

INTRODUCTION

Treatment of tobacco use in mental health settings is rare despite high rates of comorbidity. With a focus on early intervention, we evaluated a tobacco treatment intervention among adolescents and young adults recruited from outpatient, school-based, and residential mental health settings and tested for gender differences.

METHODS

Intervention participants received computerized motivational feedback at baseline, 3 months, and 6 months and were offered 12 weeks of cessation counseling and nicotine patches. Usual care participants received a self-help guide and brief cessation advice. We examined 7-day point prevalence abstinence with biochemical confirmation at 3, 6, and 12 months; smoking reduction; and 24-hr quit attempts.

RESULTS

At baseline, the sample (N = 60, 52% female, mean age = 19.5±2.9 years, 40% non-Hispanic Caucasian) averaged 7±6 cigarettes/day, 62% smoked daily, 38% smoked ≤ 30 min of waking, 12% intended to quit in the next month, 47% had a parent who smoked, and 3 of 5 of participants' closest friends smoked on average. During the 12-month study, 47% of the sample reduced their smoking, 80% quit for 24 hr, and 11%, 13%, and 17% confirmed 7-day point prevalence abstinence at 3-, 6-, and 12-month follow-up, respectively, with no differences by treatment condition (ps > .400). Over time, abstinence was greater among girls (adjusted odds ratio [AOR] = 8.9) than among boys, and abstinence was greater for lighter smokers than heavier smokers (AOR = 4.5) (p < .05). No mental health or other measured variables predicted abstinence.

CONCLUSIONS

Adolescent and young adult smokers with mental health concerns are a challenging group to engage and to effectively treat for tobacco addiction, particularly heavier smokers and boys. Innovative approaches are needed.

An international smoking ban-how many lives will be saved?

Multicomponent tobacco control strategies are crucial to combat the ongoing global smoking challenge. In the twenty-first century, many countries have signed up to the World Health Organization Framework Convention on Tobacco Control, and in recent years a mounting number of countries and regions have implemented partial or complete smoking bans to protect the general public from passive smoke exposure. There is substantial evidence that workers, particularly in the hospitality sector, benefit from reduced exposure. More recently, several reports have appeared from different countries showing a temporal relationship between the introduction of a smoking ban and reduced hospital admissions for cardiovascular, respiratory and maternity outcomes. This will have a measurable benefit for public health, saving many lives. Multicomponent strategies could also reduce active smoking significantly if successfully implemented worldwide.

Integrative smoking cessation stage model for chinese students studying in Korea

PURPOSE

The present study aimed at developing an integrative stage model of smoking cessation behavior by combining highly predictable constructs extracted from previously verified health behavior models. The fitness of the hypothetical model was also tested.

METHODS

The study participants were 214 Chinese students studying in Korea, presenting high smoking rates. Perceived severity, benefit, barrier, self-efficacy, and social support were measured using the modified Attitudes-Social Influences-Self Efficacy Questionnaire. Demographic and smoking-related characteristics were also evaluated.

RESULTS

Results showed that the hypothetical model provides a good fit. Significant psychosocial predictors of smoking cessation stage were perceived benefit (p = .050), barrier (p = .003), and social support (p = .003). Among demographic and smoking-related characteristics, gender (p = .030), duration of smoking (p = .010), and previous smoking cessation experience (p = .020) were found to influence smoking cessation stage. In addition, gender, age, number of cigarettes smoked, previous smoking cessation experience, smoking-related symptoms, and smoking cessation education needs were found to influence psychosocial constructs significantly.

CONCLUSION

The significant psychosocial predictors and demographic and smoking-related characteristics defined in the present study appear to be potent and promising predictors of smoking cessation behavior stages for a cohort of Chinese students studying in Korea.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there was no face-to-face contact and provision of structured self-help materials was compared to no intervention gave an estimate of benefit that just reached statistical significance (n = 13,241, risk ratio [RR] 1.19, 95% confidence interval [CI] 1.04 to 1.37). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Six further trials without face-to-face contact in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials (n = 7023, RR 0.88, 95% CI 0.74 to 1.04). When these two subgroups were pooled, there was no longer evidence for a benefit of standard structured materials (n = 20,264, RR 1.06, 95% CI 0.95 to 1.18). We failed to find evidence of benefit from providing standard self-help materials when there was brief contact with all participants (5 trials, n = 3866, RR 1.17, 95% CI 0.96 to 1.42), or face-to-face advice for all participants (11 trials, n = 5365, RR 0.97, 95% CI 0.80 to 1.18).Thirty-one trials offered materials tailored for the characteristics of individual smokers, with controls receiving either no materials, or stage matched or non-tailored materials. Most of the trials used more than one mailing. Pooling these showed a benefit of tailored materials (n = 40,890, RR 1.28, 95% CI 1.18 to 1.37) with moderate heterogeneity (I² = 32%). The evidence is strongest for the subgroup of nine trials in which tailored materials were compared to no intervention (n = 13,437, RR 1.35, 95% CI 1.19 to 1.53), but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data, since the subgroup of 10 trials where the number of contacts was matched did not detect an effect (n = 11,024, RR 1.06, 95% CI 0.94 to 1.20). In two trials including a direct comparison between tailored materials and brief advice from a health care provider, there was no evidence of a difference, but confidence intervals were wide (n = 2992, RR 1.13, 95% CI 0.86 to 1.49).Only four studies evaluated self-help materials as an adjunct to nicotine replacement therapy, with no evidence of additional benefit (n = 2291, RR 1.05, 95% CI 0.88 to 1.25). A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard, print-based self-help materials increase quit rates compared to no intervention, but the effect is likely to be small. We did not find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are more effective than non-tailored materials, although the absolute size of effect is still small. Available evidence tested self-help interventions in high income countries; further research is needed to investigate their effect in contexts where more intensive support is not available.

EPA Guidance on Tobacco Dependence and Strategies for Smoking Cessation in People with Mental Illness

Tobacco dependence is the most common substance use disorder in adults with mental illness. The prevalence rates for tobacco dependence are two to four times higher in these patients than in the general population. Smoking has a strong, negative influence on the life expectancy and quality of life of mental health patients, and remains the leading preventable cause of death in this group. Despite these statistics, in some countries smokers with mental illness are disadvantaged in receiving intervention and support for their tobacco dependence, which is often overlooked or even tolerated. This statement from the European Psychiatric Association (EPA) systematically reviews the current evidence on tobacco dependence and withdrawal in patients with mental illness and their treatment. It provides seven recommendations for the core components of diagnostics and treatment in this patient group. These recommendations concern: (1) the recording process, (2) the timing of the intervention, (3) counselling specificities, (4) proposed treatments, (5) frequency of contact after stopping, (6) follow-up visits and (7) relapse prevention. They aim to help clinicians improve the care, health and well-being of patients suffering from mental illness.

Psychosocial interventions for supporting women to stop smoking in pregnancy

BACKGROUND

Tobacco smoking in pregnancy remains one of the few preventable factors associated with complications in pregnancy, stillbirth, low birthweight and preterm birth and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and increasing in low- to middle-income countries.

OBJECTIVES

To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes.

SEARCH METHODS

In this fifth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (1 March 2013), checked reference lists of retrieved studies and contacted trial authors to locate additional unpublished data.

SELECTION CRITERIA

Randomised controlled trials, cluster-randomised trials, randomised cross-over trials, and quasi-randomised controlled trials (with allocation by maternal birth date or hospital record number) of psychosocial smoking cessation interventions during pregnancy.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, and subgroup analyses and sensitivity analysis were conducted in SPSS.

MAIN RESULTS

Eighty-six trials were included in this updated review, with 77 trials (involving over 29,000 women) providing data on smoking abstinence in late pregnancy.In separate comparisons, counselling interventions demonstrated a significant effect compared with usual care (27 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.75), and a borderline effect compared with less intensive interventions (16 studies; average RR 1.35, 95% CI 1.00 to 1.82). However, a significant effect was only seen in subsets where counselling was provided in conjunction with other strategies. It was unclear whether any type of counselling strategy is more effective than others (one study; RR 1.15, 95% CI 0.86 to 1.53). In studies comparing counselling and usual care (the largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy (eight studies; average RR 1.06, 95% CI 0.93 to 1.21). However, a clear effect was seen in smoking abstinence at zero to five months postpartum (10 studies; average RR 1.76, 95% CI 1.05 to 2.95), a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77), and a significant effect at 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), but not in the longer term. In other comparisons, the effect was not significantly different from the null effect for most secondary outcomes, but sample sizes were small.Incentive-based interventions had the largest effect size compared with a less intensive intervention (one study; RR 3.64, 95% CI 1.84 to 7.23) and an alternative intervention (one study; RR 4.05, 95% CI 1.48 to 11.11).Feedback interventions demonstrated a significant effect only when compared with usual care and provided in conjunction with other strategies, such as counselling (two studies; average RR 4.39, 95% CI 1.89 to 10.21), but the effect was unclear when compared with a less intensive intervention (two studies; average RR 1.19, 95% CI 0.45 to 3.12).The effect of health education was unclear when compared with usual care (three studies; average RR 1.51, 95% CI 0.64 to 3.59) or less intensive interventions (two studies; average RR 1.50, 95% CI 0.97 to 2.31).Social support interventions appeared effective when provided by peers (five studies; average RR 1.49, 95% CI 1.01 to 2.19), but the effect was unclear in a single trial of support provided by partners.The effects were mixed where the smoking interventions were provided as part of broader interventions to improve maternal health, rather than targeted smoking cessation interventions.Subgroup analyses on primary outcome for all studies showed the intensity of interventions and comparisons has increased over time, with higher intensity interventions more likely to have higher intensity comparisons. While there was no significant difference, trials where the comparison group received usual care had the largest pooled effect size (37 studies; average RR 1.34, 95% CI 1.25 to 1.44), with lower effect sizes when the comparison group received less intensive interventions (30 studies; average RR 1.20, 95% CI 1.08 to 1.31), or alternative interventions (two studies; average RR 1.26, 95% CI 0.98 to 1.53). More recent studies included in this update had a lower effect size (20 studies; average RR 1.26, 95% CI 1.00 to 1.59), I(2)= 3%, compared to those in the previous version of the review (50 studies; average RR 1.50, 95% CI 1.30 to 1.73). There were similar effect sizes in trials with biochemically validated smoking abstinence (49 studies; average RR 1.43, 95% CI 1.22 to 1.67) and those with self-reported abstinence (20 studies; average RR 1.48, 95% CI 1.17 to 1.87). There was no significant difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however the effect was unclear in three dissemination trials of counselling interventions where the focus on the intervention was at an organisational level (average RR 0.96, 95% CI 0.37 to 2.50). The pooled effects were similar in interventions provided for women with predominantly low socio-economic status (44 studies; average RR 1.41, 95% CI 1.19 to 1.66), compared to other women (26 studies; average RR 1.47, 95% CI 1.21 to 1.79); though the effect was unclear in interventions among women from ethnic minority groups (five studies; average RR 1.08, 95% CI 0.83 to 1.40) and aboriginal women (two studies; average RR 0.40, 95% CI 0.06 to 2.67). Importantly, pooled results demonstrated that women who received psychosocial interventions had an 18% reduction in preterm births (14 studies; average RR 0.82, 95% CI 0.70 to 0.96), and infants born with low birthweight (14 studies; average RR 0.82, 95% CI 0.71 to 0.94). There did not appear to be any adverse effects from the psychosocial interventions, and three studies measured an improvement in women's psychological wellbeing.

AUTHORS' CONCLUSIONS

Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy, and reduce low birthweight and preterm births.

Randomized controlled trial of MyLastDip: a Web-based smokeless tobacco cessation program for chewers ages 14-25

INTRODUCTION

Use of smokeless tobacco (ST) is a significant public health problem for young adults, many of whom want to quit. We describe the outcome of a Randomized Controlled Trial (RCT) examining the efficacy of two web-based ST cessation interventions targeting young chewers.

METHODS

One thousand seven hundred and sixteen ST users wanting to quit were recruited online to the MyLastDip program and randomly assigned to one of two fully automated web-based ST cessation interventions: (a) an Enhanced Condition (N = 857) with tailored treatment recommendations and interactive features, or (b) a Basic Condition (N = 859) that provided an online ST cessation guide in static text.

RESULTS

Assessment completion rates at 3 months, 6 months, and for both 3 and 6 months were 73%, 71%, and 65%, respectively. No significant differences were found between conditions. Using complete case analysis for repeated point prevalence (3- and 6-month assessments), all tobacco abstinence was 28.9% for participants in the Enhanced Condition and 25.6% in the Basic Condition. Using intent-to-treat analysis, abstinence rates were 35.2% versus 32.3%. Similar results were obtained for ST abstinence. Participants reported being satisfied with their programs and the Enhanced Condition participants were relatively more engaged. Differences in program engagement were not related to tobacco abstinence at 6 months.

CONCLUSIONS

Both web-based ST cessation programs encouraged robust levels of absolute tobacco and ST abstinence at follow-up. The absence of between-group differences was discussed in terms of composition of the control condition and implications for next steps in treatment development and testing.

An exploratory randomized controlled trial of a novel high-school-based smoking cessation intervention for adolescent smokers using abstinence-contingent incentives and cognitive behavioral therapy

BACKGROUND

There are few effective smoking cessation interventions for adolescent smokers. We developed a novel intervention to motivate tobacco use behavior change by (1) enhancing desire to quit through the use of abstinence-contingent incentives (CM), (2) increasing cessation skills through the use of cognitive behavioral therapy (CBT), and (3) removing cessation barriers through delivery within high schools.

METHODS

An exploratory four-week, randomized controlled trial was conducted in Connecticut high schools to dismantle the independent and combined effects of CM and CBT; smokers received CM alone, CBT alone, or CM+CBT. Participants included 82 adolescent smokers seeking smoking cessation treatment. The primary outcome was seven-day end-of-treatment (EOT) point prevalence (PP) abstinence, determined using self-reports confirmed using urine cotinine levels. Secondary outcomes included one-day EOT PP abstinence and cigarette use during treatment and follow up.

RESULTS

Among participants who initiated treatment (n=72), group differences in seven-day EOT-PP abstinence were observed (χ(2)=10.48, p<0.01) with higher abstinence in the CM+CBT (36.7%) and CM (36.3%) conditions when compared with CBT (0%). One-day EOT-PP abstinence evidenced similar effects (χ(2)=10.39, p<0.01; CM+CBT: 43%, CM: 43%, CBT: 4.3%). Survival analyses indicated differences in time to first cigarette during treatment (χ(2)=8.73, p=0.003; CBT: Day 3, CM: Day 9, CM+CBT: Day 20). At one- and three-month follow ups, while no differences were observed, the CM alone group had the slowest increase in cigarette use.

CONCLUSIONS

High-school, incentive-based smoking cessation interventions produce high rates of short-term abstinence among adolescent smokers; adding cognitive behavioral therapy does not appear to further enhance outcomes.

Tobacco cessation interventions for young people

BACKGROUND

Most tobacco control programmes for adolescents are based around prevention of uptake, but teenage smoking is still common. It is unclear if interventions that are effective for adults can also help adolescents to quit. This is the second update of a Cochrane review first published in 2006.

OBJECTIVES

To evaluate the effectiveness of strategies that help young people to stop smoking tobacco.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register in February 2013. This includes reports for trials identified in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE and PsyclNFO.

SELECTION CRITERIA

We included randomized controlled trials, cluster-randomized controlled trials and other controlled trials recruiting young people, aged less than 20, who were regular tobacco smokers. We included any interventions; these could include pharmacotherapy, psycho-social interventions and complex programmes targeting families, schools or communities. We excluded programmes primarily aimed at prevention of uptake. The primary outcome was smoking status after at least six months follow-up among those who smoked at baseline.

DATA COLLECTION AND ANALYSIS

Both authors independently assessed the eligibility of candidate trials and extracted data. Included studies were evaluated for risk of bias using standard Cochrane methodology. Where meta-analysis was appropriate, we estimated pooled risk ratios using a Mantel-Haenszel fixed-effect method, based on the quit rates at longest follow-up.

MAIN RESULTS

Twenty-eight trials involving approximately 6000 young people met our inclusion criteria (12 cluster-randomized controlled trials, 14 randomized controlled trials and 2 controlled trials). The majority of studies were judged to be at high or unclear risk of bias in at least one domain. Many studies combined components from various theoretical backgrounds to form complex interventions.The majority used some form of motivational enhancement combined with psychological support such as cognitive behavioural therapy (CBT) and some were tailored to stage of change using the transtheoretical model (TTM). Three trials based mainly on TTM interventions achieved moderate long-term success, with a pooled risk ratio (RR) of 1.56 at one year (95% confidence interval (CI) 1.21 to 2.01). The 12 trials that included some form of motivational enhancement gave an estimated RR of 1.60 (95% CI 1.28 to 2.01). None of the 13 individual trials of complex interventions that included cognitive behavioural therapy achieved statistically significant results, and results were not pooled due to clinical heterogeneity. There was a marginally significant effect of pooling six studies of the Not on Tobacco programme (RR of 1.31, 95% CI 1.01 to 1.71), although three of the trials used abstinence for as little as 24 hours at six months as the cessation outcome. A small trial testing nicotine replacement therapy did not detect a statistically significant effect. Two trials of bupropion, one testing two doses and one testing it as an adjunct to NRT, did not detect significant effects. Studies of pharmacotherapies reported some adverse events considered related to study treatment, though most were mild, whereas no adverse events were reported in studies of behavioural interventions.

AUTHORS' CONCLUSIONS

Complex approaches show promise, with some persistence of abstinence (30 days point prevalence abstinence or continuous abstinence at six months), especially those incorporating elements sensitive to stage of change and using motivational enhancement and CBT. Given the episodic nature of adolescent smoking, more data is needed on sustained quitting. There were few trials with evidence about pharmacological interventions (nicotine replacement and bupropion), and none demonstrated effectiveness for adolescent smokers. There is not yet sufficient evidence to recommend widespread implementation of any one model. There continues to be a need for well-designed adequately powered randomized controlled trials of interventions for this population of smokers.

Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial

Background

Smoking prevalence remains high, particularly among adolescents and young adults with lower educational levels, posing a serious public health problem. There is limited evidence of effective smoking cessation interventions in this population.

Objective

To test the efficacy of an individually tailored, fully automated text messaging (short message service, SMS)–based intervention for smoking cessation in young people.

Methods

A 2-arm cluster randomized controlled trial, using school class as the randomization unit, was conducted to test the efficacy of the SMS text messaging intervention compared to an assessment-only control group. Students who smoked were proactively recruited via online screening in vocational school classes. Text messages, tailored to demographic and smoking-related variables, were sent to the participants of the intervention group at least 3 times per week over a period of 3 months. A follow-up assessment was performed 6 months after study inclusion. The primary outcome measure was 7-day smoking abstinence. Secondary outcomes were 4-week smoking abstinence, cigarette consumption, stage of change, and attempts to quit smoking. We used regression models controlling for baseline differences between the study groups to test the efficacy of the intervention. Both complete-case analyses (CCA) and intention-to-treat analyses (ITT) were performed. Subgroup analyses were conducted for occasional and daily smokers.

Results

A total of 2638 students in 178 vocational school classes in Switzerland participated in the online screening. Overall, 1012 persons met the inclusion criteria for study participation, and 755 persons (74.6%) participated in the study (intervention: n=372; control: n=383). Of the 372 program participants, 9 (2.4%) unsubscribed from the program during the intervention period. Six-month follow-up data were obtained for 559 study participants (74.0%). The 7-day smoking abstinence rate at follow-up was 12.5% in the intervention group and 9.6% in the control group (ITT: P=.92). No differences between the study groups were observed in 4-week point prevalence abstinence rates. The decrease in the mean number of cigarettes smoked per day from baseline to follow-up was higher in the intervention group than in the control group (ITT: P=.002). No differences between the groups were observed in stage of change (ITT: P=.82) and quit attempts (ITT: P=.38). The subgroup analyses revealed lower cigarette consumption in both occasional and daily smokers in the intervention group compared to the control group. Occasional smokers in the intervention group made more attempts to quit smoking than occasional smokers in the control group.

Conclusions

This study demonstrated the potential of an SMS text message–based intervention to reach a high proportion of young smokers with low education levels. The intervention did not have statistically significant short-term effects on smoking cessation; however, it resulted in statistically significant lower cigarette consumption. Additionally, it resulted in statistically significant more attempts to quit smoking in occasional smokers.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN): 19739792; http://www.controlled-trials.com/ISRCTN19739792 (Archived by WebCite at http://webcitation.org/6IGETTHmr).

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

Tobacco use and its treatment among young people in mental health settings: a qualitative analysis

BACKGROUND

Youth with psychiatric disorders are at increased risk of tobacco use. Outpatient mental health settings have received little investigation for delivering tobacco treatment. This study obtained formative data to guide development of a tobacco cessation program for transitional age youth with co-occurring psychiatric disorders with a focus on outpatient mental health settings.

METHODS

Applying qualitative methods, we analyzed transcripts from interviews with 14 mental health clients (aged 16-23) and 8 mental health providers.

RESULTS

The youth identified internal (nicotine addiction and mood), social, parental, and media influences to their use of tobacco. Providers' viewed youth tobacco use as a normative developmental process, closely tied to management of psychiatric symptoms, supported by parents, and of lower priority relative to youth alcohol and illicit drug use. Youth and providers believed that clinicians can do more to address tobacco use in practice and emphasized nonjudgmental support and nondirective approaches. Top recommended quitting strategies, however, differed notably for the youth (cold turkey, support from friends, physical activity, hobbies) and providers (cessation pharmacotherapy, cessation groups, treatment referrals).

CONCLUSIONS

Mental health providers' greater prioritization of other substances and view of youth smoking as developmentally normative and a coping strategy for psychopathology are likely contributing to the general lack of attention to tobacco use currently. Integrating care within mental health settings would serve to reach youth in an arena where clinical rapport is already established, and study findings suggest receptivity for system improvements. Of consideration, however, is the apparent disconnect between provider and youth recommended strategies for supporting cessation.

Toward an mHealth Intervention for Smoking Cessation

The prevalence of tobacco dependence in the United States (US) remains alarming. Invariably, smoke-related health problems are the leading preventable causes of death in the US. Research has shown that a culturally tailored cessation counseling program can help reduce smoking and other tobacco usage. In this paper, we present a mobile health (mHealth) solution that leverages the Short Message Service (SMS) or text messaging feature of mobile devices to motivate behavior change among tobacco users. Our approach implements the Theory of Planned Behavior (TPB) and a phase-based framework. We make contributions to improving previous mHealth intervention approaches by delivering personalized and evidence-based motivational SMS messages to participants. Our proposed solution implements machine learning algorithms that take the participant's demographic profile and previous smoking behavior into account. We discuss our preliminary evaluation of the system against a couple of pseudo-scenarios and our observation of the system's performance.

Time to first cigarette predicts cessation outcomes in adolescent smokers

INTRODUCTION

This study examined the relationship between the time to the first cigarette (TTFC) of the morning with quit status among adolescent smokers at the completion of a school-based smoking cessation program. Among those who did not quit, the relationship of TTFC with changes in cigarettes/day (CPD) was also examined.

METHODS

A total of 1,167 adolescent smokers (1,024 nonquitters and 143 quitters) from 4 states participating in efficacy and effectiveness studies of the Not-On-Tobacco (N-O-T) cessation program were assessed prior to entry into the program and again 3 months later at the end of treatment. Linear and logistic regression analyses determined the influence of treatment condition, age, gender, motivation to quit, confidence in quitting ability, baseline CPD, and TTFC on quit status and end-of-treatment CPD.

RESULTS

Adolescents with a TTFC of >30min of waking were twice as likely to quit at end of treatment. Additionally, among those who did not quit at end of treatment (n = 700 for TTFC ≤30min and n = 324 for TTFC for >30min), those with a TTFC within 30min of waking smoked a greater number of CPD. The relationships of TTFC with both of these outcomes remained when controlling for all other predictor variables.

CONCLUSIONS

Identifying adolescent smokers who smoke their first cigarette of the day within the first 30min of waking prior to a quit attempt may help to classify those individuals as having a greater risk for cessation failure. Thus, TTFC may be a behavioral indicator of nicotine dependence in adolescents.

HIV-infected adolescent, young adult and pregnant smokers: important targets for effective tobacco control programs

Tobacco use is inextricably linked to a number of health risks both in the general and HIV-infected populations. There is, however, a dearth of research on effective tobacco control programs among people living with HIV, and especially among adolescents, young adults and pregnant women, groups with heightened or increased vulnerability secondary to tobacco use. Adolescents and young adults constitute a growing population of persons living with HIV infection. Early and continued tobacco use in this population living with a disease characterized by premature onset multimorbidity and chronic inflammation is of concern. Additionally, there is an increased acuity for tobacco control among HIV-infected pregnant women to reduce pregnancy morbidity and improve fetal outcome. This review will provide an important summary of current knowledge of tobacco use among HIV-infected adolescents, young adults and pregnant women. The effects of tobacco use in these specific populations will be presented and the current state of tobacco control within these populations, assessed.

Does well-child care have a future in pediatrics?

The most common adult chronic diseases affect 1 in 3 adults and account for more than three-quarters of US health care spending. The major childhood drivers of adult disease are distinctly nonmedical: poverty, poor educational outcomes, unhealthy social and physical environments, and unhealthy lifestyle choices. Ideally, well-child care (WCC) would address these drivers and help create healthier adults with more productive lives and lower health care costs. For children without serious acute and chronic medical problems, however, traditional pediatric preventive services may be largely ineffective in addressing the outcomes that really matter; that is, improving lifelong health and reducing the burden of adult chronic disease. In this article, we examine what role WCC has in addressing the major childhood drivers of adult disease and consider various models for the future of WCC within pediatrics.

An updated algorithm for choosing among smoking cessation treatments

Although meta-analyses have documented the efficacy of treatments for smoking cessation, and guidelines have outlined treatment elements, few algorithms for choosing among treatments have been described. The current algorithm updates the author's prior algorithm. The major decisions in the algorithm are (a) use a motivational treatment if the smoker is not currently interested in quitting, (b) assess factors that influence choice of treatment, (c) consider both gradual and abrupt cessation, (d) use combined patch+gum/inhaler/lozenge or varenicline as first line medications, (e) use individual, group, Internet, and phone counseling as first line psychosocial treatments, and (f) continue treatment after a lapse or relapse. Further research is needed to determine whether algorithms improve treatment outcomes.

A randomized clinical trial of the efficacy of extended smoking cessation treatment for adolescent smokers

INTRODUCTION

Relatively few well-designed smoking cessation studies have been conducted with teen smokers. This study examined the efficacy of extended cognitive-behavioral treatment in promoting longer term smoking cessation among adolescents.

METHODS

Open-label smoking cessation treatment consisted of 10 weeks of school-based, cognitive-behavioral group counseling along with 9 weeks of nicotine replacement (nicotine patch). A total of 141 adolescent smokers in continuation high schools in the San Francisco Bay Area were randomized to either 9 additional group sessions over a 14-week period (extended group) or 4 monthly smoking status calls (nonextended group). Intention-to-treat logistic regression analysis was used to assess the primary outcome of biologically confirmed (carbon monoxide < 9 ppm) point prevalence abstinence at Week 26 (6-month follow-up from baseline).

RESULTS

At Week 26 follow-up, the extended treatment group had a significantly higher abstinence rate (21%) than the nonextended treatment (7%; OR = 4.24, 95% CI: 1.20-15.02). Females also were more likely to be abstinent at the follow-up than males (OR = 4.15, 95% CI: 1.17-14.71).

CONCLUSIONS

The significantly higher abstinence rate at follow-up for the extended treatment group provides strong support for continued development of longer term interventions for adolescent smoking cessation.

An examination of different smoking patterns among Canadian youth: new insight for tobacco control programming

Patterns of smoking can vary among youth smokers. The purpose of this study was to examine three different patterns of smoking among youth (daily smoking, smoking sporadically on weekdays and weekends, and smoking during weekdays only), and to examine the sociodemographic characteristics that are associated with each smoking pattern in a representative sample of Canadian youth smokers. Data were collected as part of the 2010/2011 Youth Smoking Survey (YSS) from 31,396 students in grades 9 to 12 from secondary schools in 9 Canadian provinces. Data from the YSS were used to assess smoking behaviors and sociodemographic factors that are associated with smoking patterns among youth. We used logistic regression models to examine factors associated with week day only and some day smoking patterns relative to daily smoking patterns. Results indicate that among current youth smokers, the majority are daily smokers (62.0%), followed by some day (23.5%) and week day only (13.5%) smokers. Students who smoke some days were more likely than daily smokers to share cigarettes with others; however, they were less likely than daily smokers to have a parent, step-parent or guardian who smokes cigarettes and less likely to have close friends who smoke cigarettes. Conversely, students who smoke week days only were less likely than daily smokers to have a sibling who smokes cigarettes. These data suggest that the school environment continues to play an important role in reducing youth smoking rates in Canada, especially among youth who only smoke week days. The high percentage of week day only smokers suggests that current school-level tobacco control initiatives may be insufficient for preventing youth smoking onset.

A review of the evidence on technology-based interventions for the treatment of tobacco dependence in college health

BACKGROUND

The college years are a critical time in the development of smoking behavior and tobacco use. Smoking is linked to 30% of cancer deaths, 80% of deaths from chronic obstructive pulmonary disease, and early cardiovascular disease and death. Effective cessation interventions at this time provide an opportunity to drastically reduce premature morbidity and mortality.

AIMS

To review available evidence on Internet interventions with young adults, including methodology, theoretical frameworks and outcome measures for tobacco treatment to guide the development of a program in college health.

METHODS

A comprehensive literature search for studies published from January 1999 to February 2011, in multiple databases was conducted, along with hand-searching of reference lists. Inclusion criteria were: participants aged 18-30 years, intervention involved the Internet through either Web sites or e-mail or texting, and outcome measurement of tobacco cessation/abstinence. Studies were evaluated utilizing a tool synthesized from guidelines presented by the Cochrane Collaboration.

FINDINGS

Eight studies met the inclusion criteria (four randomized controlled trials, four cohort studies). Theoretical frameworks utilized were the Transtheoretical Model of Change, Health Belief Model, Theory of Social Support, and social cognitive theory. Interventions varied and included computer-generated advice letters, Web-based cessation guides, computer-generated text messages, and peer e-mail support. With smoking abstinence as the primary outcome measure, there was a statistically significant improvement in quit rates. Because of the use of multiple components, differences in interventions and the number of contacts, it is not clear what types of computer-based applications are most effective. Small sample sizes, lack of control groups, and inconsistency in outcome measures limit the ability to provide conclusive evidence to support these interventions-but support the feasibility to use in the design of future programs.

CONCLUSIONS

Use of technology-based interventions, such as the Internet, may be an effective tool for tobacco treatment interventions, especially with college students. There is great potential to reach large numbers of students, many who may not identify themselves as smokers or seek traditional methods for treatment. Additional research is needed to determine which technology-based interventions are most effective and to provide more conclusive evidence.

Efficacy of a smoking cessation program in a population of adolescent smokers in vocational schools: a public health evaluative controlled study

Background

To evaluate the public health efficacy of a community-based smoking cessation program (TABADO) among vocational school trainees (15 to 20 years old).

Methods

This prospective, controlled, quasi-experimental study was conducted in eight vocational training centres (VTC) in France. The intervention group underwent the TABADO program, which included a general information session for all students and small-group sessions plus individual counselling and nicotine therapy, if needed, for volunteers in an enhanced program. The control group received no specific intervention other than the educational services usually available. The primary outcome was 30-day point prevalence abstinence at 12 months.

Results

The mean age of the 1,814 students included was 16.9 years (SD = 1.0); 84.7% were males. At baseline, 52% were smokers and 5.7% ex-smokers. In the intervention group, 24.6% of smokers volunteered for the enhanced program and 18.1% could be included. By 12-month follow-up, with participants lost to follow-up considered non-abstinent, 10.6% of smokers in the intervention group had become abstinent versus 7.4% in the control group (adjusted p = 0.03; odds ratio [OR] = 1.8; 95% confidence interval [CI] = 1.05–3.0); considering lost to follow-up as missing data, 17% of intervention group participants were abstinent versus 11.9% in the control group (univariate p = 0.08; adjusted p = 0.008; OR = 2.1; 95% CI = 1.2–3.6).

Conclusion

The TABADO program, targeting teenagers in vocational schools, was effective in producing a higher 12-month abstinence rate among all smokers in the intervention group.

Trial registration

Clinical trial identification number is NTC00973570.

Behavioural interventions as adjuncts to pharmacotherapy for smoking cessation

BACKGROUND

Effective pharmacotherapies are available to help people who are trying to stop smoking, but quitting can still be difficult and providing higher levels of behavioural support may increase success rates further.

OBJECTIVES

To evaluate the effect of increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2012 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount of behavioural support. Controls could receive less intensive personal contact, or just written information. We did not include studies that used a contact matched control to evaluate differences between types or components of support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up.

DATA COLLECTION AND ANALYSIS

Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by both authors. Data were extracted by one author and checked by the other.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

Thirty-eight studies met the inclusion criteria with over 15,000 participants in the relevant arms. There was very little evidence of statistical heterogeneity (I² = 3%) so all studies were pooled in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.16, 95% CI 1.09 to 1.24) for abstinence at longest follow-up. All but two of the included studies provided four or more sessions of support. Most trials used nicotine replacement therapy. Significant effects were not detected for studies where the pharmacotherapy was nortriptyline (two trials) or varenicline (one trial), but this reflects the absence of evidence. In subgroup analyses, studies that provided at least four sessions of personal contact for the intervention and no personal contact for the control had slightly larger effects (six trials, RR 1.25, 95% CI 1.08 to 1.45), as did studies where all intervention counselling was via telephone (six trials, RR 1.28, 95% CI 1.17 to 1.41). Weaker evidence for a benefit of providing additional behavioural support was seen in the trials where all participants, including those in the control condition, had at least 30 minutes of personal contact (18 trials, RR 1.11, 95% CI 0.99 to 1.25). None of the differences between subgroups were significant, and the last two subgroup analyses were not prespecified. No trials were judged at high risk of bias on any domain.

AUTHORS' CONCLUSIONS

Providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking has a small but important effect. Increasing the amount of behavioural support is likely to increase the chance of success by about 10 to 25%, based on a pooled estimate from 38 trials. A subgroup analysis of a small number of trials suggests the benefit could be a little greater when the contrast is between a no contact control and a behavioural intervention that provides at least four sessions of contact. Subgroup analysis also suggests that there may be a smaller incremental benefit from providing even more intensive support via more or longer sessions over and above some personal contact.

Adolescent rats are resistant to adaptations in excitatory and inhibitory mechanisms that modulate mesolimbic dopamine during nicotine withdrawal

Adolescent smokers report enhanced positive responses to tobacco and fewer negative effects of withdrawal from this drug than adults, and this is believed to propel higher tobacco use during adolescence. Differential dopaminergic responses to nicotine are thought to underlie these age-related effects, as adolescent rats experience lower withdrawal-related deficits in nucleus accumbens (NAcc) dopamine versus adults. This study examined whether age differences in NAcc dopamine during withdrawal are mediated by excitatory or inhibitory transmission in the ventral tegmental area (VTA) dopamine cell body region. In vivo microdialysis was used to monitor extracellular levels of glutamate and gamma-aminobutyric acid (GABA) in the VTA of adolescent and adult rats experiencing nicotine withdrawal. In adults, nicotine withdrawal produced decreases in VTA glutamate levels (44% decrease) and increases in VTA GABA levels (38% increase). In contrast, adolescents did not exhibit changes in either of these measures. Naïve controls of both ages did not display changes in NAcc dopamine, VTA glutamate, or VTA GABA following mecamylamine. These results indicate that adolescents display resistance to withdrawal-related neurochemical processes that inhibit mesolimbic dopamine function in adults experiencing nicotine withdrawal. Our findings provide a potential mechanism involving VTA amino acid neurotransmission that modulates age differences during withdrawal.