Tobacco Use in Children and Adolescents: Primary Care Interventions
December 11, 2012
Recommendations made by the USPSTF are independent of the U.S. government. They should not be construed as an official position of the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.
By Carrie D. Patnode, PhD, MPH; Elizabeth O'Connor, PhD; Evelyn P. Whitlock, PhD, MPH; Leslie A. Perdue, MPH; Clara Soh, MPA; and Jack Hollis, PhD.
The information in this article is intended to help clinicians, employers, policymakers, and others make informed decisions about the provision of health care services. This article is intended as a reference and not as a substitute for clinical judgment.
This article may be used, in whole or in part, as the basis for the development of clinical practice guidelines and other quality enhancement tools, or as a basis for reimbursement and coverage policies. AHRQ or U.S. Department of Health and Human Services endorsement of such derivative products may not be stated or implied.
This article was first published in Annals of Internal Medicine on December 11, 2012 (Ann Intern Med 2012; http://www.annals.org). Select for copyright and source information.
Background: Interventions to prevent smoking uptake or encourage cessation among young persons might help prevent tobacco-related illness.
Purpose: To review the evidence for the efficacy and harms of primary care–relevant interventions that aim to reduce tobacco use among children and adolescents.
Data Sources: Three systematic reviews that collectively covered the relevant literature; MEDLINE, PsycINFO, the Cochrane Central Register of Controlled Trials, and the Database of Abstracts of Reviews of Effects through 14 September 2012; and manual searches of reference lists and grey literature.
Study Selection: Two investigators independently reviewed 2453 abstracts and 111 full-text articles. English-language trials of behavior-based or medication interventions that were relevant to primary care and reported tobacco use, health outcomes, or harms were included.
Data Extraction: One investigator abstracted data from good- and fair-quality trials into an evidence table, and a second checked these data.
Data Synthesis: 19 trials (4 good-quality and 15 fair-quality) that were designed to prevent tobacco use initiation or promote cessation (or both) and reported self-reported smoking status or harms were included. Pooled analyses from a random-effects meta-analysis suggested a 19% relative reduction (risk ratio, 0.81 [95% CI, 0.70 to 0.93]; absolute risk difference, −0.02 [CI, −0.03 to 0.00]) in smoking initiation among participants in behavior-based prevention interventions compared with control participants. Neither behavior-based nor bupropion cessation interventions improved cessation rates. Findings about the harms related to bupropion use were mixed.
Limitations: No studies reported health outcomes. Interventions and measures were heterogeneous. Most trials examined only cigarette smoking. The body of evidence was largely published 5 to 15 years ago.
Conclusion: Primary care–relevant interventions may prevent smoking initiation over 12 months in children and adolescents.
Primary Funding Source: Agency for Healthcare Research and Quality.
Tobacco use is the leading cause of preventable death in the United States. An estimated 443,000 deaths occur annually that are attributable to smoking1. Despite the fact that the legal age for purchasing tobacco products in the United States is 18 years2, more than 3800 children and adolescents aged 12 to 17 years smoke their first cigarette every day, and an estimated 1000 young persons begin smoking on a daily basis3. In 2011, 23.4% of high school students reported that they currently used a tobacco product4, 5.
Reducing the prevalence of youth tobacco use can occur through 2 primary means: by decreasing the proportion of nonusing children who initiate tobacco use or by increasing the proportion of current users who quit. These strategies can occur within large community environments (for example, mass media campaigns or state-level tobacco control programs), small social environments (for example, families, health care settings, or schools), or through regulatory or legislative approaches (for example, taxation and pricing or regulations on youth access). The 2012 Surgeon General’s Report concluded that there is a “large, robust, and consistent” evidence base that documents known effective strategies for reducing tobacco use among youths and young adults6. These strategies included coordinated, multicomponent interventions that combine mass media campaigns, price increases, school-based policies and programs, and statewide or communitywide changes in policies and norms. The report found no clear evidence that prevention strategies delivered in health care settings effectively reduce adolescent smoking initiation. There was a warning to interpret these findings with caution, however, given limited data and the lack of replication of specific approaches6. Similarly, youth cessation interventions in health care have not been well studied. In addition, no smoking cessation medications are currently approved for use in young persons.
In 2003, the U.S. Preventive Services Task Force (USPSTF) issued an “I” statement, citing insufficient evidence to determine the net benefit of counseling interventions to prevent initiation and promote cessation of tobacco use in children and adolescents7. We performed this systematic review to help update these recommendations.
Using the methods of the USPSTF8, we developed a analytic framework and 3 key questions to guide our review, Appendix Figure 1. Agency for Healthcare Research and Quality (AHRQ) staff and USPSTF liaisons helped refine the scope and reviewed the full draft report. Decisions about inclusion of individual studies, quality assessment, and data analysis were limited to authors with no conflicts of interest. The full report provides details of our methods, including search strategies and evidence tables9.
Data Sources and Searches
We began by evaluating all trials included in the 2008 Public Health Service Clinical Practice Guideline on Treating Tobacco Use and Dependence report for possible inclusion10. In addition, we evaluated all trials that were considered by 3 previous reviews that collectively covered the prevention literature through July 200211, 12 and the cessation literature through August 200913. We then searched MEDLINE, PsycINFO, the Cochrane Central Register of Controlled Trials, and the Database of Abstracts of Reviews of Effects through 14 September 2012.
Two investigators independently reviewed abstracts against prespecified inclusion and exclusion criteria; potentially included full-text articles were subsequently dually reviewed for inclusion. We included trials of interventions designed to prevent tobacco use or promote cessation (with or without the use of medication) that were published during or after 1980. We included interventions that targeted children, their parents, or both and were conducted in or potentially feasible for (or referable from) health care settings. We describe these collectively as “primary care–relevant.” Referable interventions are those that are not conducted within primary care itself but that patients could enroll in within the larger health care setting or community. Included trials had control groups that offered minimal or no treatment and had to report tobacco use prevalence or a similar outcome at least 6 months after baseline. We included studies that reported harms at any follow-up time point. We only considered controlled trials for questions related to benefits of treatment; observational studies were included for medication harms.
Data Extraction and Quality Assessment
Two independent investigators conducted quality assessments of all included trials, resulting in a rating of “good,” “fair,” or “poor” according to USPSTF methods8. We assessed the validity of the randomization and measurement procedures, comparability of the groups at baseline, overall and group-specific attrition, intervention fidelity, and appropriateness of statistical methods. We excluded poor-quality trials. All trials meeting quality criteria for benefits of treatment were also examined for harms. One reviewer abstracted data from studies that were rated as “fair” or “good,” and all abstraction was checked for accuracy and completeness by another reviewer. Discrepancies were resolved by double-checking the article and through discussion.
Data Synthesis and Analysis
Using smoking status as our primary outcome, we critically examined results tables with important study characteristics to identify the range of results and potential associations with effect size. We relied on measures of self-reported smoking because biochemical verification was not reported or used consistently14. We grouped studies according to the outcomes presented: prevalence of smoking among baseline nonsmokers and smokers (combined), smoking initiation among baseline nonsmokers (prevention), or continued smoking among baseline smokers (cessation). Behavior-based and medication trials were examined separately. Within each group, we qualitatively explored patterns of association between effect size and several intervention and study design characteristics, including the number and duration of intervention sessions, whether the intervention was tailored according to smoking status, whether there was a group component or motivational interviewing, the measure of tobacco use, and the average age of the participants. Our full report outlines the full list of factors we examined9.
We conducted random-effects meta-analyses to estimate the effect size of interventions for trials reporting sufficient data. We entered the raw number of smokers and the total number of participants in the analysis to calculate pooled risk ratio (RR) estimates by using Stata, version 11.2 (StataCorp, College Station, Texas). The meta-analysis was adjusted for the cluster randomization of 3 trials15-17 by dividing the sample sizes in these studies by a design effect based on average cluster size and an estimated intraclass correlation18. We did not conduct statistical analyses for small study effects (an indicator of publication bias) because we had fewer than 10 trials in all analyses19. Statistical heterogeneity was assessed with the I2 statistic20.
Role of the Funding Source
Staff from AHRQ provided oversight for the project. Liaisons from the USPSTF helped to resolve issues around the scope of the review but were not involved in the conduct of the review.
We reviewed 2453 abstracts and 111 full-text articles for inclusion, Appendix Figure 2. No primary care–relevant trials were identified that assessed health outcomes or examined subsequent rates of adult smoking. We identified 18 trials (reported in 22 publications) that examined the efficacy of primary care–relevant interventions in preventing tobacco use initiation or promoting cessation among young persons, Appendix Table 1 15-17, 21-36. We examined all 18 trials for harms related to the intervention and 1 additional trial 37 that reported the harms of bupropion. Ultimately, 3 trials on the adjunctive use of bupropion reported on harms32, 34, 37 and are discussed later in this article. A summary of evidence for benefits and harms of all interventions is presented in the Table.
Effects of Interventions on Smoking Prevalence, Initiation, and Cessation
The 18 studies that examined behavioral outcomes were generally of fair quality; 4 of the 18 trials were good quality16, 17, 29, 36. The fair-quality trials frequently did not report specific randomization procedures, potentially leading to selection bias. Although blinding of outcome assessors was not reported in several trials, this is unlikely to produce bias in studies that used standardized data collection tools, such as computer-assisted telephone interviewing. Three studies did not report baseline participant data by group27, 30, 33, which makes ensuring that groups were comparable at baseline difficult. Both medication trials were rated as fair-quality, primarily because of attrition and compliance concerns.
Combined Smoking Prevention and Cessation Interventions
Seven trials reported the combined effect of interventions on overall smoking prevalence (n = 12,769 randomly assigned)15, 23, 29, 31, 33, 35, 36. Four of these trials also reported effects among baseline nonsmokers (initiation) and smokers (cessation) separately and are discussed in the “Prevention” and “Cessation” sections of this article Appendix Table 2 15, 23, 29, 33.
The average ages of participants in the combined trials ranged from 11 to 17 years, and most included an even distribution of boys and girls. Intervention settings and components were very heterogeneous Appendix Table 1 Four of the combined trials targeted intervention messages to the baseline smoking status of the young persons15, 29, 31, 33, whereas the remaining 3 trials implemented the same intervention regardless of baseline smoking status233536. These 3 trials also included intervention components for parents and addressed additional behaviors beyond tobacco use, including alcohol and other substance use 23, 36 and unsafe sexual behaviors35.
Most of the trials were conducted in the United States, with 1 trial conducted in Finland31. Two of the 7 combined interventions were community- 35 or home-based23, 36, whereas the other 5 trials were conducted in a primary care setting15, 29, 36 or dental practice31, 33 and included face-to-face interaction with a health care provider. These interactions included brief advice to quit smoking or to remain abstinent29, 31, 33 or a single counseling session based on the 5A model15. In 3 of the 5 trials conducted in health care settings, trained health counselors provided more in-depth counseling and follow-up telephone calls with participants after interaction with the primary provider15, 29, 33.
Although all of the combined trials relied on self-reported smoking as the primary outcome, they used different measures, Appendix Table 3. Three trials measured lifetime or “ever” use23, 31, 36, 2 trials measured use in the past 30 days29, 33, 1 trial evaluated the past 90 days35, and 1 trial reported “regular or occasional” use15. None of these trials used biochemical verification to confirm self-reports. One study, however, showed participants a carbon monoxide monitor and told them that they might use it to confirm their responses (a bogus pipeline approach)15.
After pooling combined trials, we found a nonstatistically significant reduced RR for smoking prevalence in young persons assigned to the intervention at 7 to 12 months of follow-up (RR, 0.91 [95% CI, 0.81 to 1.01]; I2 = 29.4%;κ = 6; n = 8749) compared with the control group, Figure The pooled absolute risk difference (RD) was −0.02 (CI, −0.05 to 0.01). Results were somewhat variable, with larger studies suggesting either a statistically significant benefit23, 29 or no effect 15, 23, 31, 36 on prevalence of smoking in intervention groups compared with control groups. Smaller studies, on the other hand, had no significant effects and relatively wide CIs33, 35. Overall heterogeneity was low, suggesting no major inconsistency among studies. The single study that could not be pooled36 found slightly more adolescents initiating smoking in the intervention group than in the control group, but this effect was not statistically significant (Appendix Table 3). Longer-term findings (after 2 to 3 years) generally mirrored the effects that were apparent at 7 or 12 months. In addition, a sensitivity analysis of 4 studies that had similar outcome measures (for example, smoking in the past 30 or 90 days) found an effect of similar magnitude across all studies (data not shown)15, 29, 33, 35.
We reviewed 10 trials that addressed prevention of smoking initiation among nonsmoking young persons: 6 trials that only included baseline nonsmokers17, 21, 26, 27, 28, 30 and 4 of the combined trials already described 15, 24, 29, 33 (κ = 10; n = 27,603 analyzed). Participants in the prevention trials were generally younger (average weighted age was 14 years). Again, intervention components were highly variable. Six of the 10 studies in this group targeted young persons directly15, 17, 21, 27, 29, 33, included intervention components for both young persons and parents26, 28, 30, and 1 trial primarily targeted parents24. Two of the 10 prevention trials were conducted outside of the United States (1 in the Netherlands21 and 1 in the United Kingdom27). Four took place in a primary care15, 29 or dental care setting17, 33, and the remaining 6 studies primarily consisted of materials that were mailed to participants’ homes. Most trials defined smoking initiation as “ever smoking” or “smoking within the past 30 days” among baseline nonsmokers or former smokers, Appendix Table 4.
Results were consistent across trials, with all but 2 trials26, 28 reporting reduced smoking initiation in the intervention groups compared with the control groups. We found a statistically significant reduced relative risk for smoking initiation among young persons receiving prevention interventions at 7 to 36 months of follow-up (RR, 0.81 [CI, 0.70 to 0.93]; I2 = 37.8%; κ = 9; n = 26,624). The pooled absolute RD was 2 percentage points (CI, −0.03 to 0.00 percentage points), resulting in a number needed to treat of 50. The single study that could not be pooled found that fewer intervention group participants than control participants initiated smoking at 6 months, but this difference was not statistically significant17, 21, 26, 27, 28, 30. We conducted a sensitivity analysis in which we excluded 2 studies24, 30 that both operationalized smoking initiation as “ever smoking,” and the pooled RR remained statistically significant. Two trials23, 28, 29 showed consistent effects beyond 12 months. However, in the trials by Hollis and colleagues29, the intervention significantly reduced smoking initiation among nonsmokers at 12 months, but the prevention effect was no longer statistically significant after 2 years.
As described in our methods, we qualitatively examined several specific intervention characteristics and study design issues to see if they were associated with effect size. No clear pattern emerged that explained any specific subgroup effects or why some trials had beneficial effects and others did not.
Behavior-Based Cessation Interventions
We included 3 behavior-based smoking cessation trials16, 25, 38 in addition to the 4 combined studies 15, 22, 29, 33 that presented cessation outcomes separately (total κ = 7; n = 2328 analyzed). Participants in the cessation trials were generally older than participants in the combined and prevention trials (average weighted age was 15.9 years). All but 1 trial targeted young persons directly and included face-to-face contact with an interventionist, such as a clinician, health counselor, or other study personnel, Appendix Table 1.
The definition of what constituted a smoker at baseline and the primary outcome measure differed among all of the cessation trials, Appendix Table 5. For instance, 1 trial25 required that the adolescent reported smoking daily (for the past 30 days), whereas another trial16 enrolled adolescents who reported any smoking during the past 30 days and were interested in quitting. In terms of outcomes, 2 studies25, 38 used 7-day abstinence, 4 studies16, 22, 29, 33 used 30-day abstinence, and the remaining trial reported “occasional or regular” smoking at follow-up15.
No group differences were found in cessation rates at 6 to 12 months (RR, 0.96 [CI, 0.90 to 1.02]; I2 = 48.7%; κ = 7; n = 2338) (Figure). The pooled absolute RD was −0.04 (CI, −0.09 to 0.01). A sensitivity analysis that included the 4 trials that involved tailored intervention components for baseline smokers, 12-month follow-up, and similar definitions of baseline smoking15, 16, 29, 33 yielded a consistent result.
Bupropion Cessation Interventions
We included 2 cessation trials32, 34 that evaluated the use of bupropion hydrochloride in addition to behavioral counseling to encourage adolescent smokers to quit smoking (n = 256). We did not identify any trials meeting our eligibility criteria that estimated the independent effect of nicotine replacement therapy or varenicline. Both bupropion trials included relatively intense behavioral interventions for both the intervention and control groups.
Neither of the 2 trials showed a benefit. In the trial by Killen and colleagues32, 12.5% of the young persons in the intervention group and 10% of the young persons in the control group reported 7-day abstinence at 6 months. Similarly, the trial by Muramoto and colleagues34 reported that 6.3% of adolescents in the intervention group receiving bupropion, 150 mg/d, and 10.3% of adolescents receiving a placebo reported 7-day abstinence at 6 months (Appendix Table 5). Among those assigned the standard adult dose of bupropion (300 mg/d), 16.9% reported 7-day abstinence. Results were similar when rates of abstinence were examined via biological confirmation.
Harms of Interventions
None of the trials of behavior-based interventions explicitly reported on harms of treatment, such as demoralization due to failed quit attempts or depressive symptoms. Although some trials reported higher absolute prevalence of smoking in the intervention groups than the control groups after completing the interventions, none was statistically significant. In the 3 trials reporting harms related to the use of bupropion32, 34, 37, 1 trial found that a greater proportion of bupropion users (64%) reported an adverse effect than did those receiving the placebo (48%)37. The other 2 studies, however, reported no increased risk for several specific adverse effects of bupropion use, such as increased blood pressure or heart rate, nausea, sleep disturbance, headache, and cough32, 34.
We found no primary care–relevant tobacco use trials that assessed health outcomes (beyond tobacco use behaviors) in children and adolescents or examined subsequent rates of adult smoking. Although we sought to include interventions that addressed all forms of tobacco use, this body of evidence primarily included studies focused on cigarette smoking. Sixteen trials examined the benefits of behavior-based interventions on cigarette smoking prevalence, initiation, or cessation. The total number of studies and participants varied considerably across smoking outcomes, with considerably more participants in the prevention studies. Three studies evaluated the effects or harms related to the adjunctive use of bupropion to aid adolescent smokers in quitting. Included studies were generally of fair quality, with various threats to internal validity. All of the studies differed widely in terms of sample size, the types of interventions tested, and primary outcome measures.
Our review found that behavior-based interventions were effective only in reducing smoking initiation among nonsmoking young persons. Meta-analysis resulted in a 19% relative reduced risk for starting to smoke among intervention participants versus control participants at 7 to 36 months of follow-up. The pooled absolute RD was 2 percentage points, resulting in a number needed to treat of 50. Although no factors were clearly related to effect size in the included trials, high variability in the approaches of the interventions may have masked important relationships.
Combined behavioral interventions failed to show a statistically significant effect on overall smoking prevalence, as did cessation interventions conducted among current smokers. The absolute difference in the prevalence of smoking between intervention and control groups in the combined trials at follow-up was generally modest, ranging from 7 percentage points in favor of the intervention to 4 percentage points in favor of the control.
Quit rates among the included cessation studies were highly variable. The absolute difference in quit rates ranged from 21 percentage points higher among the intervention group to 5 percentage points higher in the control group (Appendix Table 5). The lack of effect seen across the cessation trials may reflect the limited number of studies that targeted established smokers or presented stratified data to examine the effects among these young persons. Smoking acquisition is a complex process, which may complicate the interpretation of cessation trials because youth “smokers” can be quite heterogeneous in their use of tobacco. Although the overall results showed no benefit of cessation treatment, there were some promising approaches. A logical next step would be to replicate the few effective interventions25, 29 and either limit the trial to established smokers or stratify the results according to the stage of acquisition of the young persons.
There are several limitations in the body of evidence and to our approach. First, there were inconsistent measures of baseline smoking status and outcome measures. Such variation makes it difficult to make concrete comparisons and generalize results. In addition, very few studies used biochemical verification to confirm self-reported smoking status. Second, very few studies evaluated other forms of tobacco use beyond cigarette smoking despite the fact that other forms are readily available in the United States. Third, we did not perform formal analyses for publication bias due to small numbers of trials. Our analyses of abstracts and searches of trials registries did not suggest publication bias. We minimized the risk for selective reporting by requiring that reducing tobacco use was a primary aim of included studies. Fourth, all of the included studies were published in 2007 or earlier, with the exception of 3 trials (2 by the same author) 15, 16, 38. In recent years, there has been substantial emphasis placed on tobacco-related legislation, environmental changes, and countermarketing. Although these public health efforts are imperative in reducing tobacco use39, continuing to reach young persons on a more personal level through behavior-based interventions remains an important strategy6. Another potential limitation to our approach is that we combined interventions that exclusively focused on cigarette smoking with those that targeted multiple behaviors (for example, alcohol and other substance use or sexual behaviors). These unrelated aims may have caused “noise” that masked the basic message to prevent smoking and may have led to null effects. Because of the variability in intervention approaches and populations, as well as inconsistencies in measurement, meta-analysis results should be interpreted with caution.
We did not include interventions that were designed to decrease tobacco use among parents as a secondary strategy for reducing smoking or secondhand tobacco smoke exposure. This could be a promising health care–based strategy for preventing youth smoking initiation, among other immediate health benefits. Similarly, we did not include interventions designed to restrict smoking in homes or cars as a strategy to reduce exposure to or use of tobacco among young persons. Research has shown, however, that having a strict smoke-free policy in the home is associated with fewer young persons smoking than in households with unrestricted or partial policies (that is, for only certain members of the household)40, 41. More primary research that focuses on parental smoking and smoke-free family policies could add to the armamentarium of primary care clinicians.
The need to replicate promising interventions and specific intervention components in well-controlled trials is substantial. This research would include incorporating longer-term outcomes to examine the extent to which results hold over time, involving more diverse samples of young persons (including those at various stages of risk), estimating intervention effects in real-world settings, and determining the feasibility and sustainability of these interventions in a health care setting. Although 30- to 60-second advice messages or counseling using the 5A model may be feasible in primary care, it is not clear whether the additional components that many of the trials included (for example, in-person counseling after the provider encounter, tailored computer programming, and booster telephone calls) could be easily replicated in the real world unless other resources (for example, centralized telephone counselors) were employed.
Despite the substantial resources committed to reducing childhood and adolescent tobacco use over recent decades, approximately 10% of middle school students and nearly a quarter of high school students currently use tobacco in the United States. Consequently, youth tobacco users are a group at risk for the many negative health outcomes associated with tobacco use, including becoming regular users as adults. Our findings suggest that primary care–relevant interventions designed to reduce cigarette smoking among children and adolescents can have small, positive effects on smoking initiation among those who have not yet become regular smokers. The evidence on the effectiveness of cessation interventions for young persons who have experimented with cigarettes or are regular smokers is limited. Most studies included in this systematic review were published 5 to 15 years ago and were generally of fair quality. Primary care interventions are an essential component of a comprehensive tobacco control program that complements broader school-based, community-based, media, and policy interventions6, 42.
Source: Oregon Evidence-based Practice Center, Portland, Oregon.
Acknowledgment: The authors thank the AHRQ staff; the USPSTF; Raymond S. Niaura, PhD, Steven Sussman, PhD, MA, Andrea C. Villanti, PhD, MPH, and Jonathan Winickoff, MD, MPH, for providing expert review of the report; and Kevin Lutz, MFA, Daphne Plaut, MLS, and Heather Baird of the Kaiser Permanente Center for Health Research.
Disclaimer: Ms. Soh accepted a position at the Pharmaceutical Research and Manufacturers of America during the finalization of the full report and drafting and final submission of this manuscript; she contributed the majority of her intellectual content to this review while she was employed with the Oregon Evidence-based Practice Center at Kaiser Permanente Center for Health Research. The views and opinions expressed in this article are those of the authors and do not necessarily reflect the views of the Pharmaceutical Research and Manufacturers of America.
Financial Support: By contract HHS-290-2007-10057-I from the Agency for Healthcare Research and Quality.
Potential Conflicts of Interest: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M12-1962.
Current author addresses and author contributions are available at www.annals.org.
Combined prevention and cessation, prevention, and cessation are shown. Because of the clustering adjustment, the denominators for references 15 through 17 and the subtotal denominators do not match what is reported in the text and tables.
The Figure displays a forest plot of combined, prevention, and cessation behavioral trials reporting the relative risk of smoking in the intervention group versus the control group. A meta-analysis combining six of the seven studies that reported overall smoking prevalence found a nonstatistically significant reduced relative risk for smoking in youth assigned to the intervention at 7 to 12 months of followup compared with the control group. A meta-analysis of the data from nine of the 10 studies examining smoking initiation among baseline nonsmokers showed a statistically significant pooled effect of the intervention in reducing the risk of smoking initiation among youth at 7 to 36 months of followup compared with the control. A meta-analysis of the seven behavioral trials that included an examination of smoking cessation at 6 to 12 months showed a small, but not statistically significant, pooled effect on quitting smoking favoring the intervention.
1. Do primary care interventions designed to prevent tobacco use or improve tobacco cessation rates in children and adolescents improve health outcomes in children and adolescents (respiratory health and dental/oral health) and reduce the likelihood of adult smoking?
2. Do primary care interventions prevent tobacco use in children and adolescents or improve tobacco cessation rates in children and adolescents who use tobacco? What are elements of efficacious interventions? Are there differences in outcomes in different subgroups, as defined by age, sex, race, socioeconomic status, type or pattern of tobacco use, residential setting (urban vs. rural), or presence of depression?
3. What adverse effects are associated with interventions to improve tobacco cessation rates or prevent tobacco use in children and adolescents?
Appendix Figure 1 is an analytic framework for the key questions of this report that depicts the events that children and adolescents (ages ≤ 18 years) could experience while undergoing assessment and interventions for the prevention and cessation of tobacco use. In general, the figure illustrates how interventions designed for tobacco prevention or cessation could lead to no tobacco use as an intermediate outcome. For longer-term health outcomes, no tobacco use may lead to improved respiratory and dental/oral health and decreased amounts of adult smokers. The figure also depicts the possibility of harms or adverse events occurring as a result of the interventions.
Appendix Figure 2 displays the literature search results and article flow for the review. A total of 4381 articles were identified through database searching, 182 through three relevant systematic reviews, and 162 articles were identified through other searching. 2453 articles were screened after duplicates were removed. 111 full-text articles were assessed for eligibility. No articles were included for key question 1. 23 articles (18 trials) were included for key question 2. 24 articles (19 trials) were included for key question 3.
Tobacco Use Prevention and Cessation in Children and Adolescents
|Outcome||Trials, n||Quality Ratings||Summary of Findings|
|Health*||0||NA||No trials assessed health outcomes.|
|Smoking prevalence: combined nonsmokers and smokers||7†||
12 mo of follow-up:
Pooled absolute RD, −0.02 (95% CI, −0.05 to 0.01); I2 = 57.6%; κ = 6; n = 8749
Range of effects: smoking prevalence rates 7 percentage points lower to 4 percentage points higher in the intervention group
Pooled relative RR, 0.91 (CI, 0.81 to 1.01); I2 = 29.4%
|Smoking initiation: prevention among nonsmokers||10||
6 to 36 mo of follow-up:
Pooled absolute RD, −0.02 (CI, −0.03 to 0.00); I2 = 57.1%; κ = 9; n = 26,624
Range of effects: initiation rates 8 percentage points lower to 3 percentage points higher in the intervention group
Pooled relative RR, 0.81 (CI, 0.70 to 0.93); I2 = 37.8%
|Smoking cessation: cessation among smokers||7||
6 to 12 mo of follow-up:
Pooled absolute RD, −0.04 (CI, −0.09 to 0.01); I2 = 46.1%; κ = 7; n = 2328
Range of effects: quit rates 21 percentage points higher to 5 percentage points lower in the intervention group
Pooled relative RR, 0.96 (CI, 0.90 to 1.02); I2 = 48.7%
Lack of effect may reflect limited number of studies targeting regular, established smokers
|Bupropion interventions: smoking cessation||2||Fair: 2||No statistically significant benefit of bupropion at 6 mo|
|Behavior-based interventions||0||NA||No trials explicitly reported on harms of behavior-based interventions|
|Smoking cessation: bupropion interventions||3||Fair: 3||Mixed results|
NA = not applicable; RD = risk difference; RR = risk ratio.
* Health outcomes included child respiratory health, dental/oral health, and subsequent rates of adult smoking.
† Four of these trials were also included in the behavior-based smoking initiation and cessation categories (i.e., the categories are not mutually exclusive).
Tobacco Use Prevention and Cessation in Children and Adolescents
|Study, Year (Reference)||Quality Rating||Focus||Age Range (Mean), y||Location||Intervention Setting||Method of Intervention||Duration of Intervention||Participants, n*||Time to Follow-up, mo||Follow-up, %|
|Intervention Group||Control Group|
|Bauman et al, 200223||Fair||Combined, prevention, cessation||12–14 (13.9)||United States||Home||Telephone, print||15 wk||658||658||7†, 16||81.2|
|Hollis et al, 200529||Good||Combined, prevention, cessation||14–17 (15.4)||United States||Medical office||Face-to-face, computer||1 visit plus 2 booster sessions within 12 mo||1254||1272||12†, 24||93.7|
|Kentala et al, 199931||Fair||Combined||NR (13.1)||Finland||Dental clinic||Face-to-face||1 visit||1348||1238||12†, 24||84.2|
|Lando et al, 200733||Fair||Combined, prevention, cessation||14–17 (15.4)||United States||Dental clinic||Face-to-face, telephone||1 visit plus 3 to 6 booster calls within 6 mo||175||169||12||65.4|
|Pbert et al, 200815||Fair||Combined, prevention, cessation||13–17 (16.9)||United States||Pediatric clinic||Face-to-face, telephone||1 visit plus 4 booster calls over 21 wk||1346||1365||6, 12†||99.2|
|Prado et al, 200735||Fair||Combined||NR (13.4)||United States||Home and community||Face-to-face||12 mo||91||84||12†, 24, 36||88.0|
|Stevens et al, 200236‡||Good||Combined||NR (11.0)||United States||Pediatric office||Face-to-face, telephone, print||36 mo||1780||1331||12†, 24, 36||95.5|
|Ausems et al, 200221‡||Fair||Prevention||NR (11.7)||The Netherlands||Home||9 wk||871||793||6||91.5|
|Curry et al, 200326||Fair||Prevention||10–12 (11.0)||United States||Home||Print, telephone||6 wk plus 1 booster call within 14 mo||2020||2006||20||88.5|
|Fidler and Lambert, 200127||Fair||Prevention||10–15 (NR)||United Kingdom||Home||12 mo||1456||1486||12||75.3|
|Haggerty et al, 200728||Fair||Prevention||NR (13.7)||United States||Home (IG1), after school (IG2)§||Face-to-face||7 wk||
|Hovell et al, 199617||Good||Prevention||11–19 (14.4)||United States||Orthodontic office||Face-to-face, print||2 y||7149||7626||24||92.5|
|Jackson and Dickinson, 200630||Fair||Prevention||7–8 (NR)||United States||Home||10 wk plus 1 booster guide within 12 mo||426||447||36||87.5|
|Colby et al, 200525||Fair||Cessation||12–19 (16.3)||United States||NR||Face-to-face, telephone, print||1 visit plus 1 booster call within 1 wk||43||42||6||80.0|
|Colby et al, 201238||Fair||Cessation||14–18 (16.2)||United States||NR||Face-to-face, telephone, print||1 visit plus 1 booster call within 1 wk plus 1 parent discussion||79||83||6||81.5|
|Pbert et al, 201116||Good||Cessation||NR (16.9)||United States||School health clinic||Face-to-face||4 wk||486||582||12||88.4|
|Killen et al, 200432||Fair||Cessation (bupropion)||15–18 (17.3)||United States||NR||Face-to-face||10 wk||103||108||6||63.5|
|Muramoto et al, 200734||Fair||Cessation (bupropion)||14–17 (16.0)||United States||Research clinic||Face-to-face||7 wk||
IG = intervention group; NR = not reported.
* Randomly assigned.
† Data from this follow-up point were used.
‡ Study not included in the meta-analysis.
§ Intervention group was used in the meta-analysis.
|Study, Year (Reference)||
|Ausems et al, 200221||√|
|Bauman et al, 200223||√||√||√|
|Colby et al, 200525||√|
|Colby et al, 201238||√|
|Curry et al, 200326||√|
|Fidler and Lambert, 200127||√|
|Haggerty et al, 200728||√|
|Hollis et al, 200529||√||√||√|
|Hovell et al, 199617||√|
|Kentala et al, 199931||√|
|Killen et al, 200432||√|
|Jackson and Dickinson, 200630||√|
|Lando et al, 200733||√||√||√|
|Muramoto et al, 200734||√|
|Pbert et al, 200815||√||√||√|
|Pbert et al, 201116||√|
|Prado et al, 200735||√|
|Stevens et al, 200236||√|
|Total Number of Studies||7||10||7||2|
Tobacco Use Prevention and Cessation in Children and Adolescents
|Study, Year (Reference)||Analyzed, n||
Time to Follow-up,
|Primary Outcome Measure||Smoking at Baseline, %||Smoking at Follow-up, %||Relative Risk (95% CI)|
|Intervention Group||Control Group||Intervention Group||Control Group*|
|Bauman et al, 200224||1135||7||Ever smoked even 1 puff of a cigarette||19.3†||24.8†||36.0||43.0||0.84 (0.72–0.97)|
|Hollis et al, 200529||2524||12||Smoked ≥1 cigarette in past 30 d||23.3*||23.4*||22.8||27.2||0.84 (0.73–0.96)|
|Kentala et al, 199931||2178||12||NR||5.5||6.0||13.3||12.2||1.09 (0.87–1.36)|
|Lando et al, 200733||280||12||Smoked in past 30 d||34.9†||37.3†||48.1||47.6||1.01 (0.79–1.29)|
|Pbert et al, 200815||2478||12||Smoked occasionally or regularly||8.7||10.6||9.4||11.7||0.80 (0.50–1.26)|
|Prado et al, 200735||154||12||Smoked cigarettes in past 90 d||3.3||1.2||7.6||4.0||1.90 (0.49–7.32)|
|Stevens et al, 200236‡||3070||12||Ever smoked (specific measure NR)||5.3†||4.5†||NR||NR||NR§|
NR = not reported.
* Calculated on the basis of data requested from the author.
† Calculated on the basis of presented data.
‡ Not included in the meta-analysis.
§ The adjusted odds ratio for having ever smoked for the intervention group compared with the control group was 1.05 (95% CI, 0.80 to 1.39).
Tobacco Use Prevention and Cessation in Children and Adolescents
|Study, Year (Reference)||Analyzed, n||
Time to Follow-up,
|Primary Outcome Measure||
Initiating Smoking at
|Relative Risk (95% CI)|
|Intervention Group||Control Group|
|Ausems et al, 200221||912||6||Ever smoked even 1 puff of a cigarette or smoked in past 30 d||10.4*||18.0*||NR*|
|Bauman et al, 200224||828||7||Ever smoked even 1 puff of a cigarette||17.0||21.0||0.81 (0.61–1.07)|
|Curry et al, 200326||3552||20||Smoked in past 30 d||2.4†||2.3†||1.04 (0.68–1.58)|
|Fidler and Lambert, 200127||2212||12||“Started to smoke” after baseline||5.1||7.8||0.65 (0.47–0.90)|
|Haggerty et al, 200728||241||12||“Started to smoke” after intervention||11.8‡||9.0‡||1.31 (0.52–3.28)|
|Hollis et al, 200529||1935||12||Smoked ≥1 cigarette in past 30 d||9.3||12.1||0.76 (0.59–0.99)|
|Hovell et al, 199617||14,775||24||Used tobacco in past 30 d§||12.0¶||12.6¶||0.95 (0.84–1.07)|
|Jackson and Dickinson, 200630||776||36||Ever smoked even 1 puff||11.9||19.3||0.62 (0.44–0.87)|
|Lando et al, 200733||156||12||Smoked in past 30 d||9.7||16.7||0.58 (0.25–1.37)|
|Pbert et al, 200815||2216||12||Smoked occasionally or regularly||3.2||4.5||0.69 (0.30–1.58)|
NR = not reported.
* The number of baseline nonsmokers and the number of children initiating smoking at follow-up were not reported. The percentage of children initiating smoking at follow-up (as reported in the article) was 10.4% (95% CI, 6.9% to 14.0%) in the intervention group and 18.1% (CI, 12.5% to 23.7%) in the control group.
† Among the assessment cohort (n = 492), 2.5% of participants in the intervention group and 0% of participants in the control group reported smoking in the past 30 d at baseline. The authors do not report whether baseline smokers were included in the follow-up.
‡ At baseline, 22.0% of participants in the intervention group and 21.7% of participants in the control group reported smoking at baseline. These individuals were excluded from the analysis at follow-up.
§ Includes the use of cigarettes, pipes, cigars, or smokeless tobacco.
¶ Baseline smokers were excluded from the analysis (specific numbers were not reported).
Tobacco Use Prevention and Cessation in Children and Adolescents
|Study, Year (Reference)||Analyzed, n||Definition of Smoker at Baseline||Primary Outcome Measure||
|Relative Risk (95% CI)|
|Intervention Group||Control Group|
|Bauman et al, 200022||85||Smoked ≥1 d in past 30 d||Smoked ≥1 d in past 30 d||59.5||62.5||0.95 (0.67–1.34)|
|Colby et al, 200525||68||Daily smoking for past 30 d||Smoked in past 7 d||76.5||97.1||0.79 (0.65–0.96)|
|Colby et al, 201238||132||Smoked at least once per week in past 30 d||Smoked in past 7 d and had biochemically confirmed expired CO level <9 ppm and saliva cotinine level <14 ng/mL||95.1||97.2||0.98 (0.91–1.05)|
|Hollis et al, 200529||589||Smoked ≥1 cigarette in past 30 d||Smoked ≥1 cigarette in past 30 d||67.5*||76.8*||0.88 (0.79–0.97)|
|Lando et al, 200733||124||Smoked in past 30 d||Smoked in past 30 d||93.4||88.9||1.05 (0.94–1.17)|
|Pbert et al, 200815||262||Smoked occasionally or regularly||Smoked occasionally or regularly||74.4||72.4||1.02 (0.75–1.38)|
|Pbert et al, 201116||1068||Smoked in past 30 d and interested in quitting in next 2 wk||Smoked in past 30 d||84.8||85.7||0.99 (0.93–1.05)|
|Killen et al, 200432||134||Smoked ≥10 cigarettes per day, smoked ≥6 mo, had made 1 or more failed quit attempts, and scored ≥10 on the mFTQ||Smoked in past 7 d and had biochemically confirmed saliva cotinine level <20 ng/mL||87.5||90.0||0.97 (0.86–1.10)|
|Muramoto et al, 200734||122||Smoked ≥6 cigarettes per day, had an exhaled CO level ≥10 ppm, had at least 2 previous quit attempts, and motivated to quit; excluded those using other tobacco product||Smoked in past 7 d||93.8||89.7||1.05 (0.94–1.16)|
CO = carbon monoxide; mFTQ - modified Fagerström Tolerance Questionnaire.
* Includes self-described experimenters and smokers.
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