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Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents.

Weiwei XiaoAnise M S WuLi-Fen FengYang DengJing-Hua LiYu-Xia ChenJin-Chen MaiPhoenix Kit-Han MoJoseph Tak Fai Lau
Published in: Journal of behavioral addictions (2020)
The classification strategy and results are potentially useful for future research that measure problematic online social networking use and its impact on health among adolescents. The approach can facilitate research that requires cut-off points of screening tools but gold standards are unavailable.
Keyphrases
  • health information
  • healthcare
  • mental health
  • deep learning
  • machine learning
  • social media
  • young adults
  • public health
  • physical activity
  • current status
  • risk assessment