Problematic computer game use as expression of Internet addiction and its association with self-rated health in the Lithuanian adolescent population

Problematic computer game use as expression of Internet addiction and its association with self-rated health in the Lithuanian adolescent population

Ustinavičienė, Ruta;Škėmienė, Lina;Lukšienė, Dalia;Radišauskas, Ričardas;Kalinienė, Gintarė;Vasilavičius, Paulius;
medicina 2016 Vol. 52 pp. 199-204
339
ustinavicien2016problematicmedicina

Abstract

Background and objective: Computers and the Internet have become an integral part of today's life. Problematic gaming is related to adolescent's health. The aim of our study was to evaluate the prevalence of Internet addiction among 13–18-year-old schoolchildren and its relation to sex, age, and time spent playing computer games, game type, and subjective health evaluation. Materials and methods: A total of 1806 schoolchildren aged 13–18 years were interviewed. The evaluation of Internet addiction was conducted by the Diagnostic Questionnaire according to Young's methodology. The relation between the choice of computer games type, time spent while playing computer games and respondents’ Internet addiction were assessed by using multivariate logistic regression analysis. Results: One-tenth (10.6%) of the boys and 7.7% of the girls aged 13–18 years were Internet addicted. Internet addiction was associated with the type of computer game (action or combat vs. logic) among boys (OR = 2.42; 95% CI, 1.03–5.67) and with the amount of time spent playing computer games per day during the last month (≥5 vs. <5 h) among girls (OR = 2.10; 95% CI, 1.19–3.70). The boys who were addicted to the Internet were more likely to rate their health poorer in comparison to their peers who were not addicted to the Internet (OR = 2.48; 95% CI, 1.33–4.62). Conclusions: Internet addiction was significantly associated with poorer self-rated health among boys.

Citation

ID: 14945
Ref Key: ustinavicien2016problematicmedicina
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
14945
Unique Identifier:
15aeaa404004bd9de210b3f3a650cd54
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet