Attentional Bias Modification Training for Quitting Smoking

HJ
SH
Overseen BySeok Hyun Gwon, PhD, RN
Age: 18 - 65
Sex: Any
Trial Phase: Academic
Sponsor: University of Wisconsin, Milwaukee

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a computer-based method to help young adults quit using e-cigarettes. It aims to reduce their attention to e-cigarette cues and support them in staying smoke-free. Participants will receive either the real training, known as Computerized Attentional Bias Modification Training, or a placebo version for comparison. Individuals who have used e-cigarettes for at least three months and own a smartphone may be suitable for this study. As an unphased trial, this study provides a unique opportunity to contribute to innovative research that could assist others in quitting e-cigarettes.

Do I need to stop my current medications to join the trial?

The trial does not specify if you need to stop taking your current medications, but you cannot participate if you are currently on medication for e-cigarette dependence or other mental health treatments.

What prior data suggests that this attentional bias modification training is safe for young adult e-cigarette users?

Research has shown that computerized attentional bias modification training is generally safe for people. In past studies, this training was used with smokers and e-cigarette users without major safety concerns. For example, one study used a smartphone app to help smokers shift their focus away from smoking triggers and found the method well-tolerated, with no significant negative effects reported.

Another study used eye tracking with this training and found it could help reduce the urge to smoke without causing harm. While these studies mainly focus on effectiveness, the absence of safety issues suggests that the treatment is generally well-tolerated.

Overall, existing research supports attentional bias modification training as a safe option for those wanting to quit smoking or reduce e-cigarette use.12345

Why are researchers excited about this trial?

Researchers are excited about computerized attentional bias modification training for quitting smoking because it offers a fresh approach compared to traditional methods like nicotine replacement therapy and behavioral counseling. This technique targets the unconscious biases that make smokers more likely to notice smoking-related cues, potentially reducing cravings and relapse. Unlike standard treatments, which often focus on managing physical addiction or changing behavior through willpower, this method aims at altering cognitive patterns associated with smoking. By addressing the mental triggers in a different way, this training could complement existing treatments and offer a new avenue for those struggling to quit.

What evidence suggests that this trial's treatments could be effective for quitting smoking?

Research has shown that computerized attentional bias modification training (ABM) has produced mixed results in helping people quit smoking. One study with 504 adult smokers found that web-based ABM training did not significantly reduce smoking or alter thinking patterns. Another study using virtual reality for similar training showed a small, short-term decrease in daily smoking. These findings suggest that while ABM has potential, its effectiveness in helping people quit smoking, particularly e-cigarette users, remains unclear. In this trial, participants will receive either the computerized attentional bias modification training or a placebo attention control training to further explore its potential with young adult e-cigarette users.16789

Who Is on the Research Team?

SH

Seok Hyun Gwon, PhD, RN

Principal Investigator

University of Wisconsin, Milwaukee

Are You a Good Fit for This Trial?

This trial is for young adults aged 18-29 who exclusively use e-cigarettes (ENDS) and have been doing so for at least 3 months. Participants must own a smartphone but cannot be on medication or psychosocial treatment for ENDS dependence, pregnant, have serious alcohol issues, eye-tracking problems, or current psychiatric treatment for DSM-5 mental health disorders.

Inclusion Criteria

I have only used electronic nicotine devices for the last 3 months.
Ownership of a smartphone

Exclusion Criteria

I have eye conditions that affect my ability to follow moving objects.
I am receiving treatment for a mental health disorder listed in the DSM-5.
Pregnancy
See 2 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants undergo attentional bias modification training or placebo attention control training

4 months

Follow-up

Participants are monitored for attentional bias, nicotine dependence, and subjective urges for e-cigarette use

4 months

What Are the Treatments Tested in This Trial?

Interventions

  • Computerized attentional bias modification training
  • Placebo attention control training
Trial Overview The study tests if computerized attentional bias modification training can change how much participants pay attention to e-cigarette cues and help them quit smoking compared to a placebo control group. About 50 young adult e-cigarette users will be randomly assigned to one of the two groups in this controlled trial.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Placebo Group
Group I: Computerized attentional bias modification trainingExperimental Treatment1 Intervention
Group II: Placebo attention control trainingPlacebo Group1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

University of Wisconsin, Milwaukee

Lead Sponsor

Trials
52
Recruited
6,200+

Citations

Combining Web-Based Attentional Bias Modification and ...A total of 504 adult smokers seeking online help to quit smoking were randomly assigned to 1 of 4 experimental conditions to receive 11 fully automated CBM ...
Efficacy of digital interventions for smoking cessation by ...SMS interventions demonstrated the highest efficacy (RR 1.63, 95% CI 1.38–1.92), indicating a 63% increased smoking cessation success compared ...
Approach bias retraining through virtual reality in smokers ...VR-ABM did not change approach biases, nor other cognitive biases, but it was superior in reducing daily smoking. However, this effect was limited to the two- ...
Attentional Bias Modification Training for E-cigarette UsersTo accomplish these aims, a theory-driven parallel, controlled 2-arm randomized clinical trial will be conducted with young adult e-cigarette users ( ...
A randomized controlled trial of Web-based Attentional Bias ...Web-based ABM training is ineffective in fostering cognitive bias reduction and continued smoking abstinence.
A Smartphone App for Attentional Bias Retraining in SmokersMain Findings. This pilot study aimed to explore the use of a novel smartphone app in attentional bias retraining in smokers by using a mixed methods design.
Eye tracking of smoking-related stimuli in tobacco use ...These preliminary findings suggest that combining tACS with ABM may help smokers who wish to quit by reducing the desire to smoke, attention to smoking-cues, ...
Internet-based attentional bias modification training as add-on ...Lack of attentional retraining effects in cigarette smokers attempting cessation: a proof of concept double-blind randomised controlled trial.
Perspectives on Modifying Attentional Biases Amongst ...The results demonstrated that following attention bias modification, there was a significant decrease in post-training attentional biases towards smoking- ...
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