Tobacco cessation interventions for young people.
Open accessAbstract
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.
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The one included cluster-RCT did not adjust for clustering or report an ICC; unadjusted data were used for primary analysis and a sensitivity analysis estimated ICC 0.03 based on other smoking cessation studies.
“The one included cluster‐RCT did not present an analysis adjusting for the clustering effect or report an intracluster correlation coefficient (ICC). Therefore, we used unadjusted data for the primary analysis and performed a sensitivity analysis where we estimated the ICC (0.03), based on the ICC reported in other smoking cessation studies (Fanshawe 2017), and adjusted the analysis on this basis.”
From Mindfulness for smoking cessation (2022) · cites this paper as Fanshawe 2017
There are no evidence-based interventions available for young people attempting to quit smoking.
“there are no evidence-based interventions available thus far for young people attempting to quit [85,87]”
From Use of the Principles of Design Thinking to Address Limitations of Digital Mental Health Interventions for Youth: Viewpoint (2019) · cites this paper as [85]
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References 284 · Cited by 196
- Authors
- Fanshawe, T. R., Halliwell, W., Lindson, N., Aveyard, P., Livingstone-Banks, J., & Hartmann-Boyce, J.
- Affiliations
- University of Oxford (GB)
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Oxford UK
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2017-11-17
- Volume
- 2017
- Issue
- 11
- Pages
- CD003289-CD003289
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC6486118
- OpenAlex
- W2935419254
- Cited by
- 196
- References
- 284
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 16 · 2023: 23 · 2022: 25 · 2021: 36 · 2020: 24 · 2019: 24 · 2018: 14 · 2014: 1
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council (MR/K023195/1)
- Economic and Social Research Council (ES/G007489/1)
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Health Professions › Speech and Hearing › School Health and Nursing Education
- Keywords
- tobacco smoking cessation, adolescents, youth, group counseling, individual counseling, computer-based intervention, nicotine replacement therapy, bupropion, self-help materials, quit rates, smoking cessation interventions, risk of bias, complex interventions, community-based intervention, relapse, cost-effectiveness, cost-benefit analysis, cost-effectiveness ratio
- MeSH terms
- Adolescent, Counseling, Humans, Cognitive Behavioral Therapy, Randomized Controlled Trials as Topic, Bupropion, Antidepressive Agents, Second-Generation, Controlled Clinical Trials as Topic, Tobacco Use Cessation, Young Adult, Tobacco Use Cessation Devices
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