LONDON, July 20 — Internet addiction disorder (IAD), also termed problematic Internet use (PIU), remains a condition without a formal diagnosis, even as the evidence of its real-world consequences accumulates. The American Psychiatric Association’s DSM-5 and the World Health Organization’s ICD-11 do not recognise excessive Internet use as a distinct disorder, leaving clinicians and researchers to argue whether it is a separate clinical entity or a symptom of underlying psychiatric problems. The lack of standardised definitions complicates efforts to produce evidence-based recommendations.
Two theoretical frameworks have shaped the debate. The cognitive-behavioural model of pathological Internet use has been employed for more than two decades; the newer Interaction of Person-Affect-Cognition-Execution (I-PACE) model is beginning to appear in clinical studies.
These models attempt to explain how poorly controlled urges and behaviours around computer use and Internet access lead to impairment or distress. The detail that matters: in 2011 the term ‘Facebook addiction disorder’ emerged, characterised by compulsive use of the platform. A 2017 study found that FAD was significantly positively related to the personality trait narcissism and to negative mental health variables including depression, anxiety, and stress symptoms.
The platform design question
The 2020 documentary ‘The Social Dilemma’ aired concerns from mental health experts and former social media employees about platforms actively pursuing addictive use — Facebook, for instance, varying notifications to lure back absent users. The film also raised correlations between social media use and child and teen suicidality. The technical reality is that these design choices have direct behavioural consequences.
Prevalence of IAD increased after the COVID-19 pandemic, driven by forced isolation and associated stress that pushed more people online for longer periods. Studies have confirmed the trend.
Interventions and the feedback loop
Turning off social media notifications or changing web browsing habits may help reduce use. A study of online learners on massive open online courses found that providing support in self-regulation was associated with reduced time spent online, especially on entertainment. The mental health consequences are well documented.
A longitudinal study of Chinese high school students found that individuals with moderate to severe risk of Internet addiction were more likely to develop depressive symptoms. The students were initially free of depression and anxiety; nine months later, some had developed depression and others reported significant anxiety symptoms.
Another longitudinal study of high school students found that problematic Internet usage and depressive symptoms may produce a positive feedback loop, with each worsening the other, and also linked problematic usage to increased risk of substance abuse. As ever, the absence of a formal diagnostic category does not mean the problem lacks teeth. The research is clear: Internet addiction disorder, by whatever name, is associated with real impairment and distress.
Future work will need to settle the definitional arguments before treatment protocols can standardise. Consult your doctor for medical advice.
