Attentional Bias Modification Training for E-cigarette Users

NCT ID: NCT05112562

Last Updated: 2022-11-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-06-09

Study Completion Date

2024-12-31

Brief Summary

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Aims are to (1) evaluate attentional bias to e-cigarette cues between the intervention and control groups at post-intervention as compared to the pre-intervention; and (2) test the feasibility and efficacy of the intervention at post-intervention. To accomplish these aims, a theory-driven parallel, controlled 2-arm randomized clinical trial will be conducted with young adult e-cigarette users (approximately N = 50). Outcomes are attentional bias to e-cigarette cues and abstinence outcomes including nicotine dependence, and arousal/urges for e-cigarette use.

Detailed Description

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Conditions

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E-cigarette Use Tobacco Use Cessation

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Participants

Study Groups

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Computerized attentional bias modification training

Group Type EXPERIMENTAL

Computerized attentional bias modification training

Intervention Type BEHAVIORAL

In intervention is designed to train participants to disengage attention from potent e-cigarette cues and is based on the well-established attention retraining paradigm for other psychopathologies.

Placebo attention control training

Group Type PLACEBO_COMPARATOR

Placebo attention control training

Intervention Type BEHAVIORAL

This control training is very similar to the intervention's overall task structure and stimuli. The only difference is that the this control program is designed to exert no systematic manipulation on the attention deployment pattern between the two stimulus categories, thereby yielding no significant impact on the level of attentional bas toward ENDS-related cues

Interventions

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Computerized attentional bias modification training

In intervention is designed to train participants to disengage attention from potent e-cigarette cues and is based on the well-established attention retraining paradigm for other psychopathologies.

Intervention Type BEHAVIORAL

Placebo attention control training

This control training is very similar to the intervention's overall task structure and stimuli. The only difference is that the this control program is designed to exert no systematic manipulation on the attention deployment pattern between the two stimulus categories, thereby yielding no significant impact on the level of attentional bas toward ENDS-related cues

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* 18 and 29 years
* Those who use ENDS exclusively, not combining with other tobacco, for 3 consecutive months
* Those who own a smartphone.

Exclusion Criteria

* Current medication or psychosocial treatment for ENDS dependence
* Serious alcohol-use problems (≥ 26 points on the Alcohol Use Disorders Identification Test)
* Ophthalmic conditions impeding eye-tracking
* Current psychiatric/psychosocial treatment for other mental health disorders in the DSM-5 (e.g., schizophrenia)
* Pregnancy.
Minimum Eligible Age

18 Years

Maximum Eligible Age

29 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Wisconsin, Milwaukee

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Seok Hyun Gwon, PhD, RN

Role: PRINCIPAL_INVESTIGATOR

University of Wisconsin, Milwaukee

Locations

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University of Wisconsin-Milwaukee

Milwaukee, Wisconsin, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Seok Hyun Gwon, PhD, RN

Role: CONTACT

414-229-6462

Han Joo Lee, PhD

Role: CONTACT

Facility Contacts

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Seok Hyun Gwon, PhD, RN

Role: primary

414-229-6462

Han Joo Lee, PhD

Role: backup

Other Identifiers

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20.172

Identifier Type: -

Identifier Source: org_study_id

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