Health Psychology Group, Institute of Applied Health Sciences, University of Aberdeen, Health Sciences Building, Aberdeen, UK.
National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia.
Addiction. 2020 Nov;115(11):2008-2020. doi: 10.1111/add.15056. Epub 2020 Apr 16.
To estimate the strengths of associations between use of behaviour change techniques (BCTs) and clusters of BCTs in behavioural smoking cessation interventions and comparators with smoking cessation rates.
Systematic review and meta-regression of biochemically verified smoking cessation rates on BCTs in interventions and comparators in randomized controlled trials, adjusting for a priori-defined potential confounding variables, together with moderation analyses. Studies were drawn from the Cochrane Tobacco Addiction Group Specialised Register. Data were extracted from published and unpublished (i.e. obtained from study authors) study materials by two independent coders. Adequately described intervention (k = 143) and comparator (k = 92) groups were included in the analyses (n = 43 992 participants). Using bivariate mixed-effects meta-regressions, while controlling for key a priori confounders, we regressed smoking cessation on (a) three BCT groupings consistent with dual-process theory (i.e. associative, reflective motivational and self-regulatory), (b) 17 expert-derived BCT groupings (i.e. BCT taxonomy version 1 clusters) and (c) individual BCTs from the BCT taxonomy version 1.
Among person-delivered interventions, higher smoking cessation rates were predicted by BCTs targeting associative and self-regulatory processes (B = 0.034, 0.041, P < 0.05), and by three individual BCTs (prompting commitment, social reward, identity associated with changed behaviour). Among written interventions, BCTs targeting taxonomy cluster 10a (rewards) predicted higher smoking cessation (B = 0.394, P < 0.05). Moderation effects were observed for nicotine dependence, mental health status and mode of delivery.
Among person-delivered behavioural smoking cessation interventions, specific behaviour change techniques and clusters of techniques are associated with higher success rates.
评估行为改变技术（BCTs）的使用与行为戒烟干预措施和对照措施中 BCT 簇之间的关联强度与戒烟率的关系。
对随机对照试验中干预措施和对照措施中 BCT 与生物化学验证的戒烟率进行系统评价和荟萃回归分析，调整了预先定义的潜在混杂变量，并进行了调节分析。研究来自 Cochrane 烟草成瘾组专业注册处。两位独立编码员从已发表和未发表的（即从研究作者处获得）研究材料中提取数据。充分描述的干预（k=143）和对照（k=92）组被纳入分析（n=43992 名参与者）。使用双变量混合效应荟萃回归，在控制关键先验混杂因素的同时，我们将戒烟率与（a）与双加工理论一致的三个 BCT 分组（即联想、反思动机和自我调节）、（b）17 个专家衍生的 BCT 分组（即 BCT 分类学版本 1 簇）和（c）BCT 分类学版本 1 中的单个 BCT 进行回归。
在人际干预措施中，针对联想和自我调节过程的 BCT 预测戒烟率更高（B=0.034，0.041，P<0.05），三个单个 BCT 预测戒烟率更高（承诺提示、社会奖励、与改变行为相关的身份）。在书面干预措施中，针对分类学簇 10a（奖励）的 BCT 预测戒烟率更高（B=0.394，P<0.05）。观察到尼古丁依赖、心理健康状况和交付模式的调节效应。
在人际行为戒烟干预措施中，特定的行为改变技术和技术簇与更高的成功率相关。
