Zh Nevrol Psikhiatr Im S S Korsakova
Scientific Research Institute for Medical Problems of the North of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia.
Published: June 2021
Objective: To study the prevalence of Internet addiction (IA) in adolescents in Central Siberia and the association of IA with mental health problems.
Material And Methods: The study included 2950 adolescents (44.7% boys and 54.3% girls), aged 11-18 years (mean age 14.5±1.3). Younger adolescents (11-14 years old) accounted for 52.4%, senior ones (15-18 years old) did 47.6%. The Chen scale (CIAS) with a cutoff level of 65 points was used to evaluate IA. The overall CIAS value of 27-42 points was regarded to be adaptive Internet use (AIU); 43-64 points being non-adaptive Internet use (NIU); 65 points and above were considered to be IA. Mental health was assessed using SDQ, which includes five scales: 1) prosocial behavior; 2) emotional symptoms; 3) behavior problems; 4) hyperactivity; 5) peer problems.
Results: The prevalence of AIU is 50.3% (55.9% among boys and 45.6% among girls, <0.01), NIU was found in 42.9% (38.9/46.3%, <0.001), IA occurred in 6.8% (5.1/8.2%, <0.001). The prevalence of IA among adolescents, aged 11-14 years old, was 5.9%, between the ages of 15-18 it was 7.8% (=0.04). In the AIU group, emotional symptom** were observed in 5.1% of adolescents, behavior problems in 6.1%, hyperactivity in 3.6%; in the NIU group - in 14.9%, 11.7% and 9.4% of adolescents; in the IA group, there were 34%, 24% and 26% of adolescents, respectively. In terms of odds ratio (OR), the greatest effect size was observed for hyperactivity (OR=5.23, <0.001) and emotional disorders (OR=4.85, <0001).
Conclusions: The prevalence of IA is 6.8%. IA is more common in girls and increases with age. IA is associated with mental health problems, the greatest effect size is observed for hyperactivity and emotional disorders. The incidence of psychopathological manifestations increases depending on the degree of impairment in network behavior.
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http://dx.doi.org/10.17116/jnevro2021121051105 | DOI Listing |
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