Associations of Internet Addiction Severity With Psychopathology, Serious Mental Illness, and Suicidality: Large-Sample Cross-Sectional Study.
Wan-Jun GuoYujie TaoXiaojing LiXia LinYajing MengXia YangHuiyao WangYamin ZhangWanjie TangQiang WangWei DengLiansheng ZhaoXiaohong MaMing-Li LiTing ChenJiajun XuJing LiWei HaoSing LeeJeremy W CoidAndrew James GreenshawTao LiPublished in: Journal of medical Internet research (2020)
Moderate and severe internet addiction were strongly associated with a broad group of adverse mental health outcomes, including somatic symptoms that are the core features of many medical illnesses, although clinically significant depression showed the strongest association. This finding supports the illness validity of moderate and severe internet addiction in contrast to mild internet addiction. These results are important for informing health policymakers and service suppliers from the perspective of resolving the overall human health burden in the current era of "Internet Plus" and artificial intelligence.
Keyphrases
- health information
- artificial intelligence
- mental illness
- human health
- mental health
- healthcare
- risk assessment
- machine learning
- big data
- social media
- high intensity
- public health
- magnetic resonance
- deep learning
- climate change
- depressive symptoms
- computed tomography
- sleep quality
- gene expression
- dna methylation
- copy number