Prevalence of Internet Gaming Addiction in Adolescent

Assiut University140 enrolled

Overview

Excessive problematic use of the internet has been a topic of discussion in the academic literature for many years and has gained more attention recently. The majority of those at risk are in early adulthood. Pathological internet use (PIU) is also termed internet addiction disorder (IAD), with both terms used to link internet use with addiction terminology. Consistent with other psychiatric conditions such as depression symptoms, PIU prevalence rates among adolescents vary widely from as low as 0.3% to 38%. Likewise, PIU prevalence among college students (young adults) showed a wide variation ranging from 3% to 34%, worldwide. Nowadays, internet gaming addiction became a problematic issue in adolescent. This is a case -control study, aimed to evaluate the prevalence and risk factors of internet gaming addiction among adolescents and its relationship with emotion regulation and comorbid psychiatric disorders.

Study Type

OBSERVATIONAL

Enrollment

140

Conditions

Addictive Behavior Adolescent Behavior

Interventions

internet gaming addiction

The Strengths and Difficulties Questionnaire (SDQ) parent : to asses behavioural change Socioeconomic Scale:It contains four main variables:1-The educational level of the father and mother.2-The occupation of the father and mother. 3-Total family income. 4-life style of the family. Emotional Avoidance Strategy Inventory for Adolescents (EASI):The EASIA is a 17-item (Kennedy \& Ehrenreich-May 2017) measure assessing the use of emotionally avoidant strategies in adolescents. The internet gaming addiction scale : t is used to evaluate internet gaming addiction.

Eligibility

Sex: ALLMin age: 10 YearsMax age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion criteria: 1. Both males and females were included. 2. Age ranges from 10- 18 years. 3. Willing of the parents or the caregivers to participate in the study. Exclusion criteria: * Children with intelligence quotient below 70. * Children with history of substance use or psychiatric disorders. * Children with medical or other neurological conditions.

Outcomes

Primary Outcomes

measure prevalence of internet gaming addiction in adolescent

by using internet gaming addiction scale that a cut-off of 32 was adequate to distinguish between disordered and non-disordered gamers

Time frame: through study completion, an average of 1 year

measure possible risk factor of internet gaming addiction in adolescent

by using the Strengths and Difficulties Questionnaire (SDQ) that higher score will be more disturbed