online activities, prevalence of internet addiction and risk factors related to family and school among adolescents in china

online activities, prevalence of internet addiction and risk factors related to family and school among adolescents in china

;Miao Xin;Jiang Xing;Wang Pengfei;Li Houru;Wang Mengcheng;Zeng Hong
envisioning legality: law, culture and representation 2018 Vol. 7 pp. 14-18
189
xin2018addictiveonline

Abstract

Aims: To investigate the online activities, prevalence of Internet Addiction in relation to demographic characteristics and risk factors related to family and school among adolescents. Methods: A total of 6468 10–18year old adolescents recruited from local schools in Guangzhou, China were selected by adopting multi-stage stratified random sampling (female/male: 2886/3582; mean age:13.78±2.43). Participants completed a structured questionnaire. Results: The overall prevalence of Internet Addiction was 26.50%, with severe addiction being 0.96%. Internet Addiction was higher among males than females (30.6% versus 21.2%). Older grade students reported more Internet addiction rate (χ2=431.25, P<0.001). The five highest-ranked online activities were social networking (94.73%), school work (86.53%), entertainment (82.44%), Internet gaming (73.42%) and shopping online (33.67%). A negative relationship with teachers (OR: 1.35, 95% CI: 1.20–1.53), a negative relationship between two parents (OR: 1.23, 95% CI: 1.18–1.37), and poor academic performance (OR: 1.22, 95% CI: 1.17–1.35), showed the highest relative risks for Internet addiction. Conclusions: Severe Internet Addiction is not common, but mild Internet addiction was reported by more than one fourth of all participants. The rates of Internet Addiction varied by gender, grade, the quality of family relationships and school situation, suggesting these factors should be considered when designing and implementing interventions. Keywords: Internet addiction, Adolescents, Social network, Parenting, Relationship

Citation

ID: 251052
Ref Key: xin2018addictiveonline
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
251052
Unique Identifier:
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