WASHINGTON, July 19 — Concerns over Internet addiction disorder (IAD) have resurfaced as global internet usage surges, with researchers and policymakers debating its clinical recognition and societal impact. While the American Psychiatric Association’s DSM-5 and the World Health Organization’s ICD-11 do not classify IAD as a standalone disorder, gaming disorder has been included in the ICD-11. The absence of a standardized definition complicates efforts to address the issue, leaving clinicians and educators grappling with its boundaries and consequences.
IAD is described as excessive or poorly controlled internet use that leads to impairment or distress. Among young people, the concern is twofold: declining academic performance and deteriorating physical health due to sleep deprivation from prolonged scrolling, chatting, and gaming.
The debate persists over whether IAD is a distinct clinical condition or merely a symptom of underlying psychiatric disorders such as depression or anxiety. Without consensus, evidence-based interventions remain elusive.
Models and evolving theories
For over two decades, models like the cognitive-behavioral model of pathological internet use have attempted to explain IAD. More recently, the Interaction of Person-Affect-Cognition-Execution (I-PACE) model has gained traction in clinical studies. The disorder’s amorphous nature is reflected in its shifting definitions, which continue to evolve as new research emerges.
In 2011, the term “Facebook addiction disorder” (FAD) was introduced to describe compulsive use of the platform. A 2017 study found a significant positive correlation between FAD and narcissism, as well as links to negative mental health outcomes such as depression, anxiety, and stress symptoms.
The study underscored the broader implications of social media overuse, particularly among vulnerable populations.
Social media’s engineered pull
In 2020, the documentary *The Social Dilemma* spotlighted concerns raised by mental health experts and former employees of social media companies. The film highlighted how platforms manipulate notifications to lure users back, raising alarms about the psychological toll of engineered engagement. While the documentary did not present original research, it amplified public discourse on the potential harms of social media design.
Also in 2020, studies reported a rise in IAD prevalence following the COVID-19 pandemic. Researchers suggested that forced isolation and associated stress may have driven higher internet usage levels.
The pandemic’s disruption to daily routines and social interactions appears to have exacerbated compulsive online behaviors, particularly among adolescents and young adults.
Interventions and risks
Simple behavioral adjustments, such as turning off social media notifications, have shown promise in reducing usage. For some users, altering web browsing habits can help compensate for self-regulatory challenges. A study of 157 online learners in massive open online courses found that providing self-regulation support led to a reduction in time spent online, especially on entertainment platforms.
Longitudinal research has linked moderate to severe IAD with elevated risks of depression. A 2009 study of Chinese high school students found that those at moderate to severe risk of internet addiction were 2.5 times more likely to develop depressive symptoms than their peers without IAD.
The study followed 1,041 students initially free of depression and anxiety. Nine months later, 87 students had developed depression and 8 reported significant anxiety symptoms. A separate longitudinal study of high school students in Helsinki suggested a cyclical relationship between problematic internet use and depressive symptoms.
The data indicated that problematic internet use worsens depressive symptoms, which in turn fuels further problematic internet use. This feedback loop underscores the compounding risks of unchecked online behavior.
Problematic internet use has also been associated with an increased risk of substance abuse, compounding concerns about its broader societal costs. The mechanisms remain under study, but researchers hypothesize that the escapism and instant gratification of online environments may lower inhibitions and reinforce addictive behaviors.
Policy and clinical gaps
The lack of consensus on IAD’s classification has left policymakers and clinicians without clear guidance. While gaming disorder is recognized in the ICD-11, IAD remains unclassified, complicating insurance coverage, treatment protocols, and public health responses. The debate continues over whether IAD warrants inclusion in future diagnostic manuals or should be addressed as a secondary manifestation of other disorders.
The US administration has not issued federal guidance on IAD, though the Surgeon General has previously emphasized the mental health risks of excessive screen time, particularly for youth. Meanwhile, international health bodies continue to review emerging evidence, with no imminent changes to diagnostic criteria anticipated.
In the absence of standardized definitions, clinicians rely on provisional frameworks and individualized interventions. Cognitive-behavioral therapy remains the most studied approach, though its efficacy varies across populations. Some experts advocate for digital literacy programs in schools as a preventive measure, though robust longitudinal data on their effectiveness is limited.
Looking ahead
As internet penetration deepens globally, the debate over IAD is likely to intensify. Researchers are calling
Sources
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