High Working Memory Load to Reduce Internet Gaming Disorder (IGD) Cravings

March 10, 2019 updated by: Jin-tao Zhang, Beijing Normal University

High Working Memory Load to Reduce IGD Cravings: N-Back Task

To test whether high working memory load can effectively reduce the craving for IGD.

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

This project is to use 1-back task and 3-back task to reduce the craving of internet gamers. To test whether high working memory load can effectively reduce the craving for IGD. This project will be conducted in Beijing, China, based on a large sample of internet gamers.

Study Type

Interventional

Enrollment (Anticipated)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Beijing
      • Beijing, Beijing, China, 100875
        • State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 30 years (ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • The scores of the 9 items of The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition(DSM-5) recommended diagnosis for Internet gaming disorder ≥ 5.
  • Engagement in popular Internet games (e.g. Arena of Valor, League of Legends and Player Unknown's Battle Grounds) for over 20 hours per week for a minimum of 12 months.
  • The scores of theYoung-Internet Addiction Test(Y-IAT) ≥ 50

Exclusion Criteria:

  • Current or history of use of illegal substances and gambling;
  • Current or history of psychiatric or neurological illness;
  • Current use of psychotropic medications.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: BASIC_SCIENCE
  • Allocation: RANDOMIZED
  • Interventional Model: PARALLEL
  • Masking: DOUBLE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
EXPERIMENTAL: High Working memory load: n-back task
During the intervention, each participant of this group will finish the 3-back task.
All participants will be asked to finish the 3-back task and the 1-back task. The 3-back task and the 1-back task will be carried out at intervals to avoid the influence between different tasks. The sequence of the 3-back task and the 1-back task will be counterbalanced across participants.
EXPERIMENTAL: Low Working memory load: n-back task
During the intervention, each participant of this group will finish the 1-back task.
All participants will be asked to finish the 3-back task and the 1-back task. The 3-back task and the 1-back task will be carried out at intervals to avoid the influence between different tasks. The sequence of the 3-back task and the 1-back task will be counterbalanced across participants.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The craving of internet gamers
Time Frame: 0-1 minutes before each set of cue
The craving of internet gamers is measured by a single item Visual Analogue Scale with 1 to 7 likert score.
0-1 minutes before each set of cue
The craving of internet gamers after cue
Time Frame: 0-1 minutes after showing cue
The craving of internet gamers is measured by a single item Visual Analogue Scale with 1 to 7 likert score.
0-1 minutes after showing cue
The craving of internet gamers after tasks
Time Frame: 0-1 minutes after finishing each block of tasks
The craving of internet gamers is measured by a single item Visual Analogue Scale with 1 to 7 likert score.
0-1 minutes after finishing each block of tasks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Jin-Tao Zhang, PhD, Study Principal Investigator

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ANTICIPATED)

March 10, 2019

Primary Completion (ANTICIPATED)

May 31, 2019

Study Completion (ANTICIPATED)

August 31, 2019

Study Registration Dates

First Submitted

March 1, 2019

First Submitted That Met QC Criteria

March 7, 2019

First Posted (ACTUAL)

March 11, 2019

Study Record Updates

Last Update Posted (ACTUAL)

March 12, 2019

Last Update Submitted That Met QC Criteria

March 10, 2019

Last Verified

March 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • Working memory

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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