以学校为本的预防吸烟计划

Roger E. Thomas, Julie McLellan, Rafael Perera
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This included evaluating the effects of theoretical approaches; additional booster sessions; programme deliverers; gender effects; and multifocal interventions versus those focused solely on smoking.</p>\n </section>\n \n <section>\n \n <h3> Search methods</h3>\n \n <p>We searched the Cochrane Central Register of Controlled Trials (CENTRAL), the Cochrane Tobacco Addiction Group's Specialised Register, MEDLINE, EMBASE, PsyclNFO, ERIC, CINAHL, Health Star, and Dissertation Abstracts for terms relating to school-based smoking cessation programmes. In addition, we screened the bibliographies of articles and ran individual MEDLINE searches for 133 authors who had undertaken randomised controlled trials in this area. The most recent searches were conducted in October 2012.</p>\n </section>\n \n <section>\n \n <h3> Selection criteria</h3>\n \n <p>We selected randomised controlled trials (RCTs) where students, classes, schools, or school districts were randomised to intervention arm(s) versus a control group, and followed for at least six months. Participants had to be youth (aged 5 to 18). Interventions could be any curricula used in a school setting to deter tobacco use, and outcome measures could be never smoking, frequency of smoking, number of cigarettes smoked, or smoking indices.</p>\n </section>\n \n <section>\n \n <h3> Data collection and analysis</h3>\n \n <p>Two reviewers independently assessed studies for inclusion, extracted data and assessed risk of bias. Based on the type of outcome, we placed studies into three groups for analysis: Pure Prevention cohorts (Group 1), Change in Smoking Behaviour over time (Group 2) and Point Prevalence of Smoking (Group 3).</p>\n </section>\n \n <section>\n \n <h3> Main results</h3>\n \n <p>One hundred and thirty-four studies involving 428,293 participants met the inclusion criteria. Some studies provided data for more than one group.</p>\n \n <p>Pure Prevention cohorts (Group 1) included 49 studies (N = 142,447). Pooled results at follow-up at one year or less found no overall effect of intervention curricula versus control (odds ratio (OR) 0.94, 95% confidence interval (CI) 0.85 to 1.05). In a subgroup analysis, the combined social competence and social influences curricula (six RCTs) showed a statistically significant effect in preventing the onset of smoking (OR 0.49, 95% CI 0.28 to 0.87; seven arms); whereas significant effects were not detected in programmes involving information only (OR 0.12, 95% CI 0.00 to 14.87; one study), social influences only (OR 1.00, 95% CI 0.88 to 1.13; 25 studies), or multimodal interventions (OR 0.89, 95% CI 0.73 to 1.08; five studies). In contrast, pooled results at longest follow-up showed an overall significant effect favouring the intervention (OR 0.88, 95% CI 0.82 to 0.96). Subgroup analyses detected significant effects in programmes with social competence curricula (OR 0.52, 95% CI 0.30 to 0.88), and the combined social competence and social influences curricula (OR 0.50, 95% CI 0.28 to 0.87), but not in those programmes with information only, social influence only, and multimodal programmes.</p>\n \n <p>Change in Smoking Behaviour over time (Group 2) included 15 studies (N = 45,555). At one year or less there was a small but statistically significant effect favouring controls (standardised mean difference (SMD) 0.04, 95% CI 0.02 to 0.06). For follow-up longer than one year there was a statistically nonsignificant effect (SMD 0.02, 95% CI -0.00 to 0.02).</p>\n \n <p>Twenty-five studies reported data on the Point Prevalence of Smoking (Group 3), though heterogeneity in this group was too high for data to be pooled.</p>\n \n <p>We were unable to analyse data for 49 studies (N = 152,544).</p>\n \n <p>Subgroup analyses (Pure Prevention cohorts only) demonstrated that at longest follow-up for all curricula combined, there was a significant effect favouring adult presenters (OR 0.88, 95% CI 0.81 to 0.96). There were no differences between tobacco-only and multifocal interventions. For curricula with booster sessions there was a significant effect only for combined social competence and social influences interventions with follow-up of one year or less (OR 0.50, 95% CI 0.26 to 0.96) and at longest follow-up (OR 0.51, 95% CI 0.27 to 0.96). Limited data on gender differences suggested no overall effect, although one study found an effect of multimodal intervention at one year for male students. Sensitivity analyses for Pure Prevention cohorts and Change in Smoking Behaviour over time outcomes suggested that neither selection nor attrition bias affected the results.</p>\n </section>\n \n <section>\n \n <h3> Authors' conclusions</h3>\n \n <p>Pure Prevention cohorts showed a significant effect at longest follow-up, with an average 12% reduction in starting smoking compared to the control groups. However, no overall effect was detected at one year or less. The combined social competence and social influences interventions showed a significant effect at one year and at longest follow-up. Studies that deployed a social influences programme showed no overall effect at any time point; multimodal interventions and those with an information-only approach were similarly ineffective.</p>\n \n <p>Studies reporting Change in Smoking Behaviour over time did not show an overall effect, but at an intervention level there were positive findings for social competence and combined social competence and social influences interventions.</p>\n </section>\n \n <section>\n \n <h3> Plain language summary</h3>\n \n <p><b>Can programmes delivered in school prevent young people from starting to smoke?</b></p>\n \n <p>Increasing numbers of young people are smoking in developing and poorer countries. Programmes to prevent them starting to smoke have been delivered in schools over the past 40 years. 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In a subgroup analysis, the combined social competence and social influences curricula (six RCTs) showed a statistically significant effect in preventing the onset of smoking (OR 0.49, 95% CI 0.28 to 0.87; seven arms); whereas significant effects were not detected in programmes involving information only (OR 0.12, 95% CI 0.00 to 14.87; one study), social influences only (OR 1.00, 95% CI 0.88 to 1.13; 25 studies), or multimodal interventions (OR 0.89, 95% CI 0.73 to 1.08; five studies). In contrast, pooled results at longest follow-up showed an overall significant effect favouring the intervention (OR 0.88, 95% CI 0.82 to 0.96). Subgroup analyses detected significant effects in programmes with social competence curricula (OR 0.52, 95% CI 0.30 to 0.88), and the combined social competence and social influences curricula (OR 0.50, 95% CI 0.28 to 0.87), but not in those programmes with information only, social influence only, and multimodal programmes.</p>\\n \\n <p>Change in Smoking Behaviour over time (Group 2) included 15 studies (N = 45,555). At one year or less there was a small but statistically significant effect favouring controls (standardised mean difference (SMD) 0.04, 95% CI 0.02 to 0.06). 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引用次数: 402

摘要

帮助年轻人避免开始吸烟是一个广泛认可的公共卫生目标,学校提供了与几乎所有年轻人沟通的途径。以学校为基础的干预措施已经实施了近40年。本综述的主要目的是确定学校吸烟干预是否能防止青少年开始吸烟。我们的第二个目标是确定哪些干预措施最有效。这包括评估理论方法的效果;额外的加强会议;计划此列;性别的影响;多焦点干预和只关注吸烟的干预。检索方法我们检索了Cochrane对照试验中心注册表(Central)、Cochrane烟草成瘾组专业注册表、MEDLINE、EMBASE、PsyclNFO、ERIC、CINAHL、Health Star和论文摘要,以获取与校本戒烟计划相关的术语。此外,我们筛选了文章的参考书目,并对在该领域进行过随机对照试验的133位作者进行了MEDLINE搜索。最近一次搜索是在2012年10月进行的。我们选择了随机对照试验(RCTs),其中学生、班级、学校或学区被随机分配到干预组与对照组,并随访至少6个月。参与者必须是年轻人(5至18岁)。干预措施可以是在学校设置中使用的任何旨在阻止烟草使用的课程,结果措施可以是从不吸烟、吸烟频率、吸烟数量或吸烟指数。数据收集和分析两名评论者独立评估研究纳入、提取数据和评估偏倚风险。根据结果的类型,我们将研究分为三组进行分析:纯预防队列(第1组),吸烟行为随时间的变化(第2组)和吸烟的点患病率(第3组)。主要结果134项研究涉及428,293名参与者符合纳入标准。一些研究提供了不止一组的数据。纯预防队列(组1)包括49项研究(N = 142,447)。随访一年或更短时间的综合结果发现,干预课程与对照组相比没有总体效果(优势比(or) 0.94, 95%可信区间(CI) 0.85至1.05)。在亚组分析中,结合社会能力和社会影响课程(6个随机对照试验)显示,在预防吸烟方面有统计学意义的显著效果(OR 0.49, 95% CI 0.28 ~ 0.87;七武器);而在仅涉及信息的方案中未发现显著影响(OR 0.12, 95% CI 0.00至14.87;一项研究),仅受社会影响(OR 1.00, 95% CI 0.88 - 1.13;25项研究)或多模式干预(or 0.89, 95% CI 0.73 - 1.08;五个研究)。相比之下,最长随访的汇总结果显示,总体上显著的干预效果(OR 0.88, 95% CI 0.82至0.96)。亚组分析发现,社会能力课程(OR 0.52, 95% CI 0.30至0.88)和社会能力与社会影响相结合的课程(OR 0.50, 95% CI 0.28至0.87)有显著效果,但仅信息课程、仅社会影响课程和多模式课程没有显著效果。吸烟行为随时间的变化(第二组)包括15项研究(N = 45,555)。在一年或更短的时间内,有一个小的但具有统计学意义的效应有利于对照组(标准化平均差异(SMD) 0.04, 95% CI 0.02至0.06)。随访时间超过1年,无统计学意义(SMD为0.02,95% CI为-0.00 ~ 0.02)。25项研究报告了吸烟点患病率(第3组)的数据,尽管该组的异质性太高,无法汇总数据。我们无法分析49项研究(N = 152,544)的数据。亚组分析(仅纯预防队列)表明,在所有课程的最长随访中,对成人演讲者有显著影响(OR 0.88, 95% CI 0.81至0.96)。仅烟草干预和多焦点干预之间没有差异。对于有强化课程的课程,只有在随访1年或更短时间(or 0.50, 95% CI 0.26至0.96)和最长随访时间(or 0.51, 95% CI 0.27至0.96)的社会能力和社会影响联合干预措施才有显著效果。 关于性别差异的有限数据表明没有整体效果,尽管一项研究发现多模式干预在一年内对男学生有效果。对纯预防队列和吸烟行为随时间变化结果的敏感性分析表明,选择和消耗偏差都不影响结果。作者的结论是,在长期随访中,纯预防组显示出显著的效果,与对照组相比,开始吸烟的人数平均减少了12%。然而,在一年或更短的时间内,没有发现总体效果。社会能力和社会影响相结合的干预在一年和最长的随访中显示出显著的效果。实施社会影响方案的研究显示,在任何时间点都没有产生总体效果;多模式干预和仅采用信息方法的干预同样无效。报告吸烟行为随时间变化的研究没有显示出总体效果,但在干预水平上,对社会能力和社会能力与社会影响相结合的干预有积极的发现。在学校实施的规划能防止年轻人开始吸烟吗?在发展中国家和较贫穷的国家,越来越多的年轻人吸烟。在过去的40年里,已经在学校实施了防止他们开始吸烟的规划。我们想知道它们是否有效。我们确定了49项随机对照试验(超过140,000名学龄儿童)的干预措施,旨在防止从未吸烟的儿童成为吸烟者。在超过一年的时间里,干预措施在防止年轻人开始吸烟方面有显著的效果。研究发现,采用社会能力方法的方案以及将社会能力与社会影响方法结合起来的方案比其他方案更有效。然而,在一年或更短的时间内,除了一些教育年轻人具备社会能力和抵制社会影响的方案外,没有任何总体效果。一组较小的试验报告了班上所有人的吸烟状况,无论他们在研究开始时是否吸烟。在这些随访一年或更短时间的试验中,总体上较小但显著的效果有利于对照组。这种情况持续了一年;在随访时间超过一年的试验中,干预组的人比对照组的人吸烟更多。当随机化的低偏倚风险试验或失去参与者的低偏倚风险试验被单独检查时,结论保持不变。由成年人领导的项目可能比由年轻人领导的项目更有效。没有证据表明提供额外的治疗会使干预更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
School-based programmes for preventing smoking

Background

Helping young people to avoid starting smoking is a widely endorsed public health goal, and schools provide a route to communicate with nearly all young people. School-based interventions have been delivered for close to 40 years.

Objectives

The primary aim of this review was to determine whether school smoking interventions prevent youth from starting smoking. Our secondary objective was to determine which interventions were most effective. This included evaluating the effects of theoretical approaches; additional booster sessions; programme deliverers; gender effects; and multifocal interventions versus those focused solely on smoking.

Search methods

We searched the Cochrane Central Register of Controlled Trials (CENTRAL), the Cochrane Tobacco Addiction Group's Specialised Register, MEDLINE, EMBASE, PsyclNFO, ERIC, CINAHL, Health Star, and Dissertation Abstracts for terms relating to school-based smoking cessation programmes. In addition, we screened the bibliographies of articles and ran individual MEDLINE searches for 133 authors who had undertaken randomised controlled trials in this area. The most recent searches were conducted in October 2012.

Selection criteria

We selected randomised controlled trials (RCTs) where students, classes, schools, or school districts were randomised to intervention arm(s) versus a control group, and followed for at least six months. Participants had to be youth (aged 5 to 18). Interventions could be any curricula used in a school setting to deter tobacco use, and outcome measures could be never smoking, frequency of smoking, number of cigarettes smoked, or smoking indices.

Data collection and analysis

Two reviewers independently assessed studies for inclusion, extracted data and assessed risk of bias. Based on the type of outcome, we placed studies into three groups for analysis: Pure Prevention cohorts (Group 1), Change in Smoking Behaviour over time (Group 2) and Point Prevalence of Smoking (Group 3).

Main results

One hundred and thirty-four studies involving 428,293 participants met the inclusion criteria. Some studies provided data for more than one group.

Pure Prevention cohorts (Group 1) included 49 studies (N = 142,447). Pooled results at follow-up at one year or less found no overall effect of intervention curricula versus control (odds ratio (OR) 0.94, 95% confidence interval (CI) 0.85 to 1.05). In a subgroup analysis, the combined social competence and social influences curricula (six RCTs) showed a statistically significant effect in preventing the onset of smoking (OR 0.49, 95% CI 0.28 to 0.87; seven arms); whereas significant effects were not detected in programmes involving information only (OR 0.12, 95% CI 0.00 to 14.87; one study), social influences only (OR 1.00, 95% CI 0.88 to 1.13; 25 studies), or multimodal interventions (OR 0.89, 95% CI 0.73 to 1.08; five studies). In contrast, pooled results at longest follow-up showed an overall significant effect favouring the intervention (OR 0.88, 95% CI 0.82 to 0.96). Subgroup analyses detected significant effects in programmes with social competence curricula (OR 0.52, 95% CI 0.30 to 0.88), and the combined social competence and social influences curricula (OR 0.50, 95% CI 0.28 to 0.87), but not in those programmes with information only, social influence only, and multimodal programmes.

Change in Smoking Behaviour over time (Group 2) included 15 studies (N = 45,555). At one year or less there was a small but statistically significant effect favouring controls (standardised mean difference (SMD) 0.04, 95% CI 0.02 to 0.06). For follow-up longer than one year there was a statistically nonsignificant effect (SMD 0.02, 95% CI -0.00 to 0.02).

Twenty-five studies reported data on the Point Prevalence of Smoking (Group 3), though heterogeneity in this group was too high for data to be pooled.

We were unable to analyse data for 49 studies (N = 152,544).

Subgroup analyses (Pure Prevention cohorts only) demonstrated that at longest follow-up for all curricula combined, there was a significant effect favouring adult presenters (OR 0.88, 95% CI 0.81 to 0.96). There were no differences between tobacco-only and multifocal interventions. For curricula with booster sessions there was a significant effect only for combined social competence and social influences interventions with follow-up of one year or less (OR 0.50, 95% CI 0.26 to 0.96) and at longest follow-up (OR 0.51, 95% CI 0.27 to 0.96). Limited data on gender differences suggested no overall effect, although one study found an effect of multimodal intervention at one year for male students. Sensitivity analyses for Pure Prevention cohorts and Change in Smoking Behaviour over time outcomes suggested that neither selection nor attrition bias affected the results.

Authors' conclusions

Pure Prevention cohorts showed a significant effect at longest follow-up, with an average 12% reduction in starting smoking compared to the control groups. However, no overall effect was detected at one year or less. The combined social competence and social influences interventions showed a significant effect at one year and at longest follow-up. Studies that deployed a social influences programme showed no overall effect at any time point; multimodal interventions and those with an information-only approach were similarly ineffective.

Studies reporting Change in Smoking Behaviour over time did not show an overall effect, but at an intervention level there were positive findings for social competence and combined social competence and social influences interventions.

Plain language summary

Can programmes delivered in school prevent young people from starting to smoke?

Increasing numbers of young people are smoking in developing and poorer countries. Programmes to prevent them starting to smoke have been delivered in schools over the past 40 years. We wanted to find out if they are effective.

We identified 49 randomised controlled trials (over 140,000 school children) of interventions aiming to prevent children who had never smoked from becoming smokers. At longer than one year, there was a significant effect of the interventions in preventing young people from starting smoking. Programmes that used a social competence approach and those that combined a social competence with a social influence approach were found to be more effective than other programmes. However, at one year or less there was no overall effect, except for programmes which taught young people to be socially competent and to resist social influences.

A smaller group of trials reported on the smoking status of all people in the class, whether or not they smoked at the start of the study. In these trials with follow-up of one year or less there was an overall small but significant effect favouring the controls. This continued after a year; for trials with follow-up longer than one year, those in the intervention groups smoked more than those in the control groups.

When trials at low risk of bias from randomisation, or from losing participants, were examined separately, the conclusions remained the same. Programmes led by adults may be more effective than those led by young people. There is no evidence that delivering extra sessions makes the intervention more effective.

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