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

B

Beijing Normal University

Status

Unknown

Conditions

Internet Gaming Disorder

Treatments

Behavioral: n-back task

Study type

Interventional

Funder types

Other

Identifiers

NCT03868501
Working memory

Details and patient eligibility

About

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

Full 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.

Enrollment

30 estimated patients

Sex

All

Ages

18 to 30 years old

Volunteers

No Healthy Volunteers

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.

Trial design

Primary purpose

Basic Science

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

30 participants in 2 patient groups

High Working memory load: n-back task
Experimental group
Description:
During the intervention, each participant of this group will finish the 3-back task.
Treatment:
Behavioral: n-back task
Low Working memory load: n-back task
Experimental group
Description:
During the intervention, each participant of this group will finish the 1-back task.
Treatment:
Behavioral: n-back task

Trial contacts and locations

1

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Central trial contact

Jin-Tao Zhang, PhD; Linxuan Xu

Data sourced from clinicaltrials.gov

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