基于手机的趋近-回避偏差训练矫正吸烟自动行为倾向的再训练:一项随机对照研究的研究方案。

Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: A study protocol for a randomized controlled study.

机构信息

Department of Clinical Psychology, University of Siegen, Adolf-Reichwein-Str. 2a, 57068, Siegen, Germany.

Department of Medical Informatics und Microsystems Engineering, University of Siegen, Siegen, Germany.

出版信息

Trials. 2019 Dec 12;20(1):720. doi: 10.1186/s13063-019-3835-0.

Abstract

BACKGROUND

Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug-taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of cognitive bias modification (CBM). Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple laboratory training sessions. Here, we present a protocol for a randomized controlled design to improve CBM training efficiency and facilitate access to the training by providing mobile-phone-based training sessions at home to current smokers motivated to quit smoking.

METHODS

Participants (n = 100) are current smokers who smoke at least six cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief behavioral smoking cessation intervention (TAU) and are randomly assigned either to an experimental (TAU + training) or a control group. Participants in the experimental condition are given access to a training application (app) aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app training outside the laboratory context on a daily basis for 14 consecutive days. Participants in the control group do not receive the training. Primary outcome measures are changes in smoking-related approach biases and reductions in daily nicotine consumption as assessed at baseline, post-training and at 6-week follow up. Secondary outcome measures include approach biases for alternative stimuli or smoking stimuli to which participants were not exposed during training, attentional and association biases, biochemical outcomes, and self-reported smoking behavior, also measured at three different time points (baseline, post-training, and follow up). After completion of the study, smokers in the control condition will receive access to the training app.

DISCUSSION

This randomized controlled trial is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimization and advancement of CBM treatment for addiction.

TRIAL REGISTRATION

Current Controlled Trials, ISRCTN15690771. Registered on 20 November 2018.

摘要

背景

与药物相关的线索自动接近倾向与有害的药物使用行为的发展和维持有关。最近的研究表明,这些自动接近倾向可以通过认知偏差修正(CBM)直接针对。此外,改变这些接近倾向可能会增强治疗效果。然而,培训和治疗效果往往很小,并且由于实验室培训课程耗时,可能会影响培训的坚持。在这里,我们提出了一个随机对照设计的方案,以提高 CBM 培训的效率,并通过提供基于移动电话的家庭培训课程,为有意愿戒烟的当前吸烟者提供培训,从而方便他们获得培训。

方法

参与者(n=100)为目前每天至少吸烟 6 支、吸烟时间至少 6 个月且愿意戒烟的吸烟者。所有参与者均接受简短的行为戒烟干预(TAU),并随机分配到实验组(TAU+培训)或对照组。实验组的参与者可以访问旨在重新训练吸烟线索自动接近偏差的培训应用程序(app)。参与者被指示在实验室环境之外每天进行为期 14 天的训练。对照组的参与者不接受培训。主要结果测量是吸烟相关接近偏差的变化和每日尼古丁消耗的减少,分别在基线、培训后和 6 周随访时评估。次要结果测量包括对参与者在培训期间未接触到的替代刺激物或吸烟刺激物的接近偏差、注意力和联想偏差、生化结果以及自我报告的吸烟行为,也在三个不同的时间点(基线、培训后和随访时)进行测量。研究完成后,对照组的吸烟者将获得培训应用程序的访问权限。

讨论

这是第一项测试基于应用程序的 CBM 干预作为有意愿戒烟的吸烟者简短戒烟干预的辅助手段的有效性的随机对照试验。该研究的结果可以为成瘾的 CBM 治疗的优化和推进提供未来的研究信息。

试验注册

当前对照试验,ISRCTN86450237。于 2018 年 11 月 20 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7e8/6909563/fc9f8321f22c/13063_2019_3835_Fig1_HTML.jpg

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