Family-based programmes for preventing smoking by children and adolescents
Open accessAbstract
BACKGROUND: There is evidence that family and friends influence children's decisions to smoke. OBJECTIVES: To assess the effectiveness of interventions to help families stop children starting smoking. SEARCH METHODS: We searched 14 electronic bibliographic databases, including the Cochrane Tobacco Addiction Group specialized register, MEDLINE, EMBASE, PsycINFO, CINAHL unpublished material, and key articles' reference lists. We performed free-text internet searches and targeted searches of appropriate websites, and hand-searched key journals not available electronically. We consulted authors and experts in the field. The most recent search was 3 April 2014. There were no date or language limitations. SELECTION CRITERIA: Randomised controlled trials (RCTs) of interventions with children (aged 5-12) or adolescents (aged 13-18) and families to deter tobacco use. The primary outcome was the effect of the intervention on the smoking status of children who reported no use of tobacco at baseline. Included trials had to report outcomes measured at least six months from the start of the intervention. DATA COLLECTION AND ANALYSIS: We reviewed all potentially relevant citations and retrieved the full text to determine whether the study was an RCT and matched our inclusion criteria. Two authors independently extracted study data for each RCT and assessed them for risk of bias. We pooled risk ratios using a Mantel-Haenszel fixed effect model. MAIN RESULTS: Twenty-seven RCTs were included. The interventions were very heterogeneous in the components of the family intervention, the other risk behaviours targeted alongside tobacco, the age of children at baseline and the length of follow-up. Two interventions were tested by two RCTs, one was tested by three RCTs and the remaining 20 distinct interventions were tested only by one RCT. Twenty-three interventions were tested in the USA, two in Europe, one in Australia and one in India.The control conditions fell into two main groups: no intervention or usual care; or school-based interventions provided to all participants. These two groups of studies were considered separately.Most studies had a judgement of 'unclear' for at least one risk of bias criteria, so the quality of evidence was downgraded to moderate. Although there was heterogeneity between studies there was little evidence of statistical heterogeneity in the results. We were unable to extract data from all studies in a format that allowed inclusion in a meta-analysis.There was moderate quality evidence family-based interventions had a positive impact on preventing smoking when compared to a no intervention control. Nine studies (4810 participants) reporting smoking uptake amongst baseline non-smokers could be pooled, but eight studies with about 5000 participants could not be pooled because of insufficient data. The pooled estimate detected a significant reduction in smoking behaviour in the intervention arms (risk ratio [RR] 0.76, 95% confidence interval [CI] 0.68 to 0.84). Most of these studies used intensive interventions. Estimates for the medium and low intensity subgroups were similar but confidence intervals were wide. Two studies in which some of the 4487 participants already had smoking experience at baseline did not detect evidence of effect (RR 1.04, 95% CI 0.93 to 1.17).Eight RCTs compared a combined family plus school intervention to a school intervention only. Of the three studies with data, two RCTS with outcomes for 2301 baseline never smokers detected evidence of an effect (RR 0.85, 95% CI 0.75 to 0.96) and one study with data for 1096 participants not restricted to never users at baseline also detected a benefit (RR 0.60, 95% CI 0.38 to 0.94). The other five studies with about 18,500 participants did not report data in a format allowing meta-analysis. One RCT also compared a family intervention to a school 'good behaviour' intervention and did not detect a difference between the two types of programme (RR 1.05, 95% CI 0.80 to 1.38, n = 388).No studies identified any adverse effects of intervention. AUTHORS' CONCLUSIONS: There is moderate quality evidence to suggest that family-based interventions can have a positive effect on preventing children and adolescents from starting to smoke. There were more studies of high intensity programmes compared to a control group receiving no intervention, than there were for other compairsons. The evidence is therefore strongest for high intensity programmes used independently of school interventions. Programmes typically addressed family functioning, and were introduced when children were between 11 and 14 years old. Based on this moderate quality evidence a family intervention might reduce uptake or experimentation with smoking by between 16 and 32%. However, these findings should be interpreted cautiously because effect estimates could not include data from all studies. Our interpretation is that the common feature of the effective high intensity interventions
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most studies of family-based smoking interventions used intensive interventions typically addressing family functioning and introduced when children were between 11 and 14 years old.
“Most of these studies used intensive interventions typically addressing family functioning and introduced when children were between 11 and 14 years old.”
From Interventions for Adolescent Substance Abuse: An Overview of Systematic Reviews (2016) · cites this paper as [35]
Family-based interventions have a positive impact on preventing smoking with a significant reduction in smoking behavior among adolescents (RR: .76; 95% CI: .68-.84).
“Family-based interventions had a positive impact on preventing smoking with a significant reduction in smoking behavior (RR: .76; 95% CI: .68–.84) [35].”
From Interventions for Adolescent Substance Abuse: An Overview of Systematic Reviews (2016) · cites this paper as [35]
The family-based smoking intervention findings should be interpreted cautiously because effect estimates could not include data from all studies.
“However, these findings should be interpreted cautiously because effect estimates could not include data from all studies.”
From Interventions for Adolescent Substance Abuse: An Overview of Systematic Reviews (2016) · cites this paper as [35]
The citation lists haven’t been fetched yet
References 199 · Cited by 174
- Authors
- Thomas, R. E., Baker, P. R., Thomas, B. C., & Lorenzetti, D. L.
- Affiliations
- University of Calgary (CA)
- Queensland University of Technology (AU)
- 1604 21 Avenue NW Calgary AB Canada T2M 1M1
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2015-02-27
- Volume
- 2015
- Issue
- 2
- Pages
- CD004493-CD004493
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC6486099
- OpenAlex
- W2171640561
- Cited by
- 174
- References
- 199
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 7 · 2023: 7 · 2022: 7 · 2021: 9 · 2020: 8 · 2019: 10 · 2018: 7 · 2017: 14 · 2016: 18 · 2015: 10 · 2014: 10 · 2013: 11 · 2012: 13
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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
- smoking prevention, family intervention, children, adolescents, tobacco use, smoking initiation, family influence on smoking, school-based intervention, risk of bias, intervention effectiveness, risk-taking
- MeSH terms
- Smoking Prevention, Adolescent, Child, Family, Humans, Smoking, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review