Digital media use and mental health

From HandWiki - Reading time: 46 min

Short description: Mental health effects of using digital media

"Fear of missing out" can lead to psychological stress at the idea of missing posted content by others while offline.

Researchers in psychology, sociology, anthropology, and medicine have studied the relationship between digital media use and mental health since the mid-1990s, following the rise of the internet and mobile communication technologies.[1] Much research has examined patterns of excessive or problematic use, sometimes described as "digital dependencies," which can vary across cultures and societies.[2] At the same time, some studies have highlighted potential benefits of moderate digital media use, including supporting mental health or facilitating access to online support communities.[3] Overall, the effect of digital media on mental health are complex and vary depending on individual, cultural, and platform-specific factors.

The distinction between beneficial and excessive digital media use has not yet been clearly established.[4] Few widely accepted diagnostic criteria exist for problematic or pathological use, although some experts have suggested that overuse may be related to underlying psychiatric disorders.[5] Recommendations for safer media use for children and families have been proposed, but prevention and treatment strategies are not standardized.[6]Research also highlights ongoing debate regarding the classification of problematic digital media behaviours and the appropriateness of terms such as "addiction."[7]

Digital media use, including time spent on social media platforms such as Instagram, TikTok, Snapchat, and Facebook, has been associated with both positive and negative effects on the cognitive, social and emotional development of children and adolescents.[8]Evidence suggests that the relationship between digital media use and mental health outcomes is complex and may vary depending on the individual, the type of platform used, and patterns of engagement.[9]

A 2017 study by He, Turel, and Bechara reported that excessive social media use was associated with reduced gray matter volume in brain regions involved in attention and impulse control, suggesting potential structural changes related to long-term overstimulation.[10]

History and Terminology

The relationship between digital technology and mental health has been studied from multiple perspectives.[11][12][13] Research has identified benefits of digital media use for childhood and adolescent development.[14][15] However, researchers, clinicians, and the public have also expressed concern over compulsive behaviours linked to digital media use, as increasing evidence shows correlations between excessive technology use and mental health issues.[12][13][14][15]

Terminologies used to refer to compulsive digital-media-use behaviours are not standardized or universally recognised. They include "digital addiction", "digital dependence", "problematic use", or "overuse", often delineated by the digital media platform used or under study (such as problematic smartphone use or problematic internet use).[16] Unrestrained use of technological devices may affect developmental, social, mental and physical well-being and may result in symptoms akin to other psychological dependence syndromes, or behavioral addictions.[17][15] The focus on problematic technology use in research, particularly in relation to the behavioural addiction paradigm, is becoming more accepted, despite poor standardization and conflicting research.[18]

Internet addiction has been proposed as a diagnosis since 1998[19] and social media and its relation to addiction has been examined since 2009.[20] A 2018 Organisation for Economic Co-operation and Development (OECD) report stated there were benefits of structured and limited internet use in children and adolescents for developmental and educational purposes, but that excessive use can have a negative impact on mental well-being. The report also noted a 40% overall increase in internet use among school-age children between 2010 and 2015, with significant variations in usage rates and platform preferences across different OECD countries.[11] The American Psychological Association recommends that adolescents receive training or coaching on social media use to help them develop psychologically informed skills and competencies, promoting balanced, safe, and meaningful engagement online.[21]

The Diagnostic and Statistical Manual of Mental Disorders (DSM) has not formally classified problematic digital media use as a diagnostic category but identified internet gaming disorder as a condition warranting further study in 2013.[11] Meanwhile, gaming disorder—commonly known as video game addiction—is recognized in the ICD-11.[12][13] The differing recommendations between the DSM and ICD partly reflect a lack of expert consensus, variations in the focus of each classification system, and challenges in applying animal models to behavioural addictions.[17]

The utility of the term addiction in relation to the overuse of digital media has been questioned, in regard to its suitability to describe new, digitally mediated psychiatric categories, as opposed to overuse being a manifestation of other psychiatric disorders.[22][23] Usage of the term has also been criticised for drawing parallels with substance use behaviours. Careless use of the term may cause more problems—both downplaying the risks of harm in seriously affected people, as well as overstating risks of excessive, non-pathological use of digital media.[23] The evolution of terminology relating excessive digital media use to problematic use rather than addiction was encouraged by Panova and Carbonell, psychologists at Ramon Llull University, in a 2018 review.[24]

Due to the lack of recognition and consensus on the concepts used, diagnoses and treatments are difficult to standardize or develop. Heightened levels of public anxiety around new media (including social media, smartphones and video games) adds confusion to the interpretation of population-based assessments, as well as posing management dilemmas.[22] Radesky and Christakis, the 2019 editors of JAMA Paediatrics, published a review that investigated "concerns about health and developmental/behavioural risks of excessive media use for child cognitive, language, literacy, and social-emotional development."[25] Due to the ready availability of multiple technologies to children worldwide, the problem is bi-directional, as taking away digital devices may have a detrimental effect, in areas such as learning, family relationship dynamics, and overall development.[26]

Problematic Use

Associations have been observed between excessive digital media use and mental health symptoms, including anxiety, depression, and attention difficulties, but causality has not been established.[27] Problematic use has also been associated with fear of missing out (FoMO), where users experience anxiety or stress about potentially missing online content, which may contribute to feelings of social exclusion.[28] Younger users may be particularly vulnerable to social comparison, which can exacerbate anxiety or depressive symptoms.[29] Although some neuroscientific research has explored structural brain differences associated with excessive digital media use, there is currently no established biological mechanism that explains why some individuals develop problematic use patterns.[30]

Individuals experiencing fear of missing out (FoMO) may feel compelled to frequently check social media or messaging platforms to stay updated on their social network. This behavior has been associated with increased anxiety and can contribute to patterns of problematic social media use.[31]

Screen time and mental health

Certain types of problematic internet use have been linked to psychiatric and behavioural issues such as depression, anxiety, hostility, aggression, and attention deficit hyperactivity disorder (ADHD). However, studies have not established clear causal relationships—for instance, it remains unclear whether individuals with depression overuse the internet because of their condition, or if excessive internet use contributes to developing depression.[11] Research also suggests that social media's effects can be both positive and negative, depending on individual circumstances.[12] While digital media overuse has been associated with depressive symptoms, it may also be used in some cases to improve mood.[13][14] A large prospective study found a positive correlation between ADHD symptoms and digital media use.[15]

Although the ADHD symptom of hyperfocus may lead some individuals to spend excessive time on video games, social media, or online chatting, the link between hyperfocus and problematic social media use is relatively weak.[16] A 2018 review found associations between the self-reported mental health symptoms by users of the Chinese social media platform WeChat and excessive platform use. However, the motivations and usage patterns of WeChat users affected overall psychological health, rather than the amount of time spent using the platform.[15] During the COVID-19 pandemic specifically, a meta-analysis reported that although gaming time increased modestly, greater time spent gaming was not linked to differences in well-being across studies.[32]

The evidence, although of mainly low to moderate quality, shows a correlation between heavy screen time and a variety of physical and mental health problems. Social media is found to be one of the main factors of procrastination, especially for students. Although media provides entertainment it can also be a distraction leading to these declines in academic success. Research from stop Procrastinating finds social media  and other forms of media, to be the leading cause of procrastination trends.[33][14] However, moderate use of digital media has been linked to positive outcomes, including improved social integration, mental health, and overall well-being for young people.[14] In fact, certain digital platforms, when used in moderation, have even been associated with enhanced mental health.[34]

In a 2022 review, it was discovered that when it comes to adolescents' well-being that perhaps there is too much focus on locating a negative correlation between digital technologies and adolescents' well-being, If a negative correlation between the two are located the impact would potentially be minimal to the point where it would have little to no impact on adolescent well-being or quality of life.[35]

File:Social media apps.jpg
Social media applications in which users can easily access social feeds, be notified of new content, and connect with others in real time.

Social media and mental health

Excessive social media use has been associated with negative mental health outcomes among adolescents and young adults.[36][37] Some studies have found associations between social media use and mental health difficulties, though results are often weak or inconsistent across studies.[38] Social media use may have both positive and negative effects, depending on factors such as the type of use, frequency, and individual context.[39] Among older adults, evidence suggests that social media use may be associated with positive outcomes, such as enhanced social connection and well-being, although causality has not been established.[40]

Social media can be a valuable tool that, when used appropriately, brings positive benefits both online and offline. For adolescents, social media offers opportunities to build and maintain relationships, access information, connect with others in real time, and express themselves through creating and engaging with content.[11][12] However, improper use of social media can pose risks. Adolescents may be exposed to cyberbullying, sexual predators, inappropriate adult content, substance use, and unrealistic portrayals of people and lifestyles.[11][12]

Digital technologies tend to focus more on hedonic well-being, in which users are exposed to content that evokes joy and laughter towards positive content, to anger and sadness towards negative content. In turn these negative impacts on adolescence or any users of social media will only experience temporary impacts on mental well-being, which will not have a permanent effect on the user's quality of life and life satisfaction.[35]

When asked about the amount of time spent on social media teenagers reported that 55 percent have the right amount of time spent on social media. 35 percent of teenagers reported they spent too much time on social media, while 8 percent stated they spent too little time on social media.[35]

Youth

Research indicates that excessive digital media use may be associated with negative mental health outcomes, particularly among adolescents and young adults.[41] Studies have reported associations between higher digital media use and increased symptoms of anxiety, depression, and lower life satisfaction, although findings vary across populations and study designs.[42] Conversely, some evidence suggests that moderate or purposeful digital media use may provide social support, opportunities for connection, and other positive outcomes for adolescents, depending on individual and contextual factors.[43]

The majority of adolescents report using some form of social media, with daily use being common.[44] Social media use among youth can have both potential benefits, such as supporting social connection, and potential risks for mental health.[45] Higher levels of digital media use have been associated with an increased risk of anxiety, depression, and other mental health difficulties in adolescents, although causality has not been established.[46]

Further research has suggested social media encourages anxiety to increase in adolescents. In addition, this can affect the youth's sleep, which can cause further issues with anxiety. Especially through comparing themselves to other people, cyberbullying, and being drawn to long hours on the internet.[47] Looking at the issue through a public health lens, this behavior shows risk factors that can influence negative social behavior across large groups of youth. Too much exposure to features, which include likes and comments, reinforce validation-seeking behaviors and contribute to stress.[48]

Proposed diagnostic categories

Gaming disorder has been considered by the DSM-5 task force as warranting further study (as the subset internet gaming disorder), and was included in the ICD-11.[49] Concerns have been raised by Aarseth and colleagues over this inclusion, particularly in regard to stigmatization of heavy gamers.[50]

Christakis has asserted that internet addiction may be "a 21st century epidemic".[51] In 2018, he commented that childhood Internet overuse may be a form of "uncontrolled experiment[s] on ... children".[52] International estimates of the prevalence of internet overuse have varied considerably, with marked variations by nation. A 2014 meta-analysis of 31 nations yielded an overall worldwide prevalence of six percent.[53] A different perspective in 2018 by Musetti and colleagues reappraised the internet in terms of its necessity and ubiquity in modern society, as a social environment, rather than a tool, thereby calling for the reformulation of the internet addiction model.[54]

Some medical and behavioural scientists recommend adding a diagnosis of "social media addiction" (or similar) to the next Diagnostic and Statistical Manual of Mental Disorders update.[55][56][15] A 2015 review concluded there was a probable link between basic psychological needs and social media addiction, stating, "Social network site users seek feedback, and they get it from hundreds of people—instantly. It could be argued that the platforms are designed to get users 'hooked'."[57]

Internet sex addiction, also called cybersex addiction, is proposed as a sexual addiction involving virtual sexual activities online that can lead to significant negative effects on a person's physical, mental, social, or financial well-being.[11][12] It is often regarded as a form of problematic internet use.[13]

Online problem gambling

A 2015 review found evidence of higher rates of mental health comorbidities, as well as higher amounts of substance use, among internet gamblers, compared to non-internet gamblers. Causation, however, has not been established. The review postulates that there may be differences in the cohorts between internet and land-based problem gamblers.[58]

Cyberbullying

Cyberbullying, bullying or harassment using social media or other electronic means, has been shown to have effects on mental health. Victims may have lower self-esteem, increased suicidal ideation, decreased motivation for usual hobbies, and a variety of emotional responses, including being scared, frustrated, angry, anxious or depressed. These victims may also begin to distance themselves from friends and family members.[59][60][61]

According to the EU Kids Online project, the incidence of cyberbullying across seven European countries in children aged 8–16 increased from 8% to 12% between 2010 and 2014. Similar increases were shown in the United States and Brazil.[62]

Media multitasking

Concurrent use of multiple digital media streams, commonly known as media multitasking, has been shown to be associated with depressive symptoms, social anxiety, impulsivity, sensation seeking, lower perceived social success and neuroticism.[63] A 2018 review found that while the literature is sparse and inconclusive, overall, heavy media multitaskers also have poorer performance in several cognitive domains.[64] One of the authors commented that the data does not "unambiguously show that media multitasking causes a change in attention and memory", therefore it is possible to argue that it is inefficient to multitask on digital media.[65]

Distracted road use

File:Man texting while driving.jpg
A driver using a mobile phone

An association between problematic mobile phone use and a greater risk of simultaneous mobile phone use and road use and risk of vehicle collisions and pedestrian collisions or falls has been found.[66]

Noise-induced hearing loss

Physical Effects

Extended periods of screen use have been linked to poor posture, eye strain, and reduced physical activity, which may contribute to more serious health issues such as obesity, musculoskeletal pain, and even cardiovascular problems. Sedentary behavior, especially when combined with poor diet habits during screen time, increases the risk of long-term health complications. Also, blue light exposure from screens can disrupt sleep patterns, reducing sleep quality and affecting overall physical recovery.[67]

Assessment and treatment

Rigorous, evidence-based assessment of problematic digital media use is yet to be comprehensively established. This is due partially to a lack of consensus around the various constructs and lack of standardization of treatments.[68] The American Academy of Pediatrics (AAP) has developed a Family Media Plan, intending to help parents assess and structure their family's use of electronic devices and media more safely. It recommends limiting entertainment screen time to two hours or less per day.[69][70] The Canadian Paediatric Society produced a similar guideline. Ferguson, a psychologist, has criticised these and other national guidelines for not being evidence-based.[71] Other experts, cited in a 2017 UNICEF Office of Research literature review, have recommended addressing potential underlying problems rather than arbitrarily enforcing screen time limits.[23]

Different methodologies for assessing pathological internet use have been developed, mostly self-report questionnaires, but none have been universally recognised as a gold standard.[72] For gaming disorder, both the American Psychiatric Association[73] and the World Health Organization (through the ICD-11) have released diagnostic criteria.[74]

There is limited evidence supporting the effectiveness of cognitive behavioral therapy and family-based interventions for treating problematic digital media use. Randomized controlled trials have not demonstrated the efficacy of medications for this purpose.[11] A 2016 study involving 901 adolescents suggested that mindfulness techniques may help prevent and treat problematic internet use.[12] A 2019 UK parliamentary report emphasized the importance of parental engagement, awareness, and support in fostering "digital resilience" among young people and in managing online risks.[13] Treatment centers addressing digital dependence have grown in number, particularly in countries like China and South Korea, which have declared it a public health crisis and opened approximately 300 and 190 centers nationwide, respectively.[14] Several other countries have also established similar treatment facilities.[15][16]

NGOs, support and advocacy groups provide resources to people overusing digital media, with or without codified diagnoses,[75][76] including the American Academy of Child and Adolescent Psychiatry.[77][78]

A 2022 study outlines the mechanisms by which media-transmitted stressors affect mental well-being. Authors suggest a common denominator related to problems with the media's construction of reality is increased uncertainty, which leads to defensive responses and chronic stress in predisposed individuals.[79]

Associated psychiatric disorders

ADHD

Meta-analysis and systematic reviews of studies have shown a link between internet use, gaming disorders, social media use, and ADHD or symptoms of ADHD including impulsive traits; however, associations and causality are not clear.[80][81][82] There is some evidence of a bi-directional relationship in which people with ADHD may be more likely to engage with problematic internet or gaming use, and higher digital media use may worsen existing ADHD symptoms.[83][84][85] An important group to talk about regarding the relationship between ADHD and digital media is adolescents, a meta-analysis has shown that it is more common for adolescents to have problematic gaming if they also have ADHD, it also showed results indicating that ADHD may predict future problematic gaming as well.[86]

Anxiety

There is evidence of weak to moderate associations between gaming disorder or smartphone use and social anxiety and depressive symptoms,[81][87] and nomophobia.[88] However these are also not causal, the nature of the associations is not clear.[89][82][90][91] There is also some evidence of bi-directionality.[92] There are some conflicting results from systematic reviews.[93] There are also some links between the amount of personal information uploaded, and social media addictive behaviors all correlated with anxiety.[94]

Autism

In August 2015, NeuroTribes identified autistic digital communities such as Autism Network International, Wrong Planet, and the Autism List mailing list at St. John's University (New York City).[95] Steve Silberman argued that these communities "provided a natural home" where autistic members "could interact at their own pace."[96] Jim Sinclair was a member of Autism List and participated in founding Autism Network International.

A 2018 systematic review of 47 studies published from 2005 to 2016 concluded that associations between autism and screen time was inconclusive.[97] Another 2019 systematic review of 16 studies that found that autistic children and adolescents are exposed to more screen time than typically developing peers and that the exposure starts at a younger age.[98] A 2021 systematic review of 12 studies of video game addiction in autistic subjects found that children, adolescents, and autistic adults are at greater risk of video game addiction than non-autistic adults, and that the data from the studies suggested that internal and external factors (sex, attention and oppositional behavior problems, social aspects, access and time spent playing video games, parental rules, and game genre) were significant predictors of video game addiction in autistic subjects.[99] A 2022 systematic review of 21 studies investigating associations between autism, problematic internet use, and gaming disorder found that the majority of studies found positive associations between the disorders.[100]

Another 2022 systematic review of 10 studies found that autistic subjects had more symptoms of problematic internet use than control group subjects, had higher screen time online and an earlier age of first-time use of the internet, and also greater symptoms of depression and ADHD.[101] A 2023 meta-analysis of 46 studies comprising 562,131 subjects that concluded that while screen time may be a developmental cause of autism in childhood, associations between autism and screen time were not statistically significant when accounting for publication bias.[102]

Bipolar disorder

There is some evidence of an association between problematic internet use as a risk factor for bipolar disorder.[103]

Depression

There is a growing body of evidence demonstrating an association between screen-based behaviours and depressive symptoms or clinical depression.[81][89][104][105][82][106][90][107] Studies across a wide range of populations including different ages, genders,[108] and cultures report small to moderate associations between these behaviors and depression symptoms, with problematic use more strongly associated with depression than general use.[94][109][110][111][112] While some studies suggest these associations may be bidirectional or influenced by factors like social support or content type, the overall direction of findings points to screen-based behaviours as a potential risk factor for a person to experience depressive symptoms.[92][113] The strength and nature of these associations has been reported to vary and may depend on usage and patterns, individual vulnerabilities, and geographic context. Causality remains unclear.[114][115][116][91][117][118][119][120]

Sleep

Sleep quality and screen time or digital media use have been linked, including studies looking at media type, time of day, and age of person.[121][122][109][82][123][124][125][126][127][128] Various sleep challenges or outcomes have been studied including a reduction in sleep duration, increased sleep onset latency, modifications to rapid eye movement sleep and slow-wave sleep, increased sleepiness and self-perceived fatigue, and impaired post-sleep attention span and verbal memory.[129]

Narcissism

There are some reports of positive correlations between grandiose narcissism and social networking site usage,[130][105] highlighting the potential for a correlation between time spent on social media, frequency of status updates, number of friends or followers, and frequency of posting self-portrait digital photographs.[131][132]

Obsessive–compulsive disorder

There is some evidence suggesting a significant correlation between digital media overuse and obsessive–compulsive disorder symptoms.[81][133]

Mental health benefits

Smartphones and other digital devices are ubiquitous in many societies.

There is some evidence that people with mental illness can have a positive outcomes based on digital media use, such as the potential to develop social connections over social media and foster a sense of social inclusion in online communities.[134][13] Digital communities or social media may also have the potential for some people with mental illness to share personal stories in a perceived safer space, as well as gaining peer support for developing coping strategies.[134][13] There are some reports of people avoiding stigma and gaining further insight into their mental health condition, including the potential for dialogue with healthcare professionals, as benefits of using social media.[134][135] This comes with the usual digital media risk of the potential for unhealthy influences, misinformation, and delayed access to traditional mental health outlets.[134]

Other benefits include the potential to gain connections to supportive online communities, including illness or disability specific communities, as well as the LGBTQIA community.[13] Young people with cancer have reported an improvement in their coping abilities due to their participation in an online community.[136]

Furthermore, in children, there may be educational benefits of digital media use.[134] For example, screen-based programs may help increase both independent and collaborative learning. A variety of quality apps and software may decrease learning gaps and increase skill in certain educational subjects.[137][138] The benefits (and risks) may also be specific to cultures and geographic locations.[139]

Young people may have different experiences online, depending on their socio-economic background, noting lower-income youths may spend up to three hours more per day using digital devices, compared to higher-income youths.[140] Lower-income youths, who are already vulnerable to mental illness, may be more passive in their online engagements, being more susceptible to negative feedback online, with difficulty self-regulating their digital media use.[140] It has been suggested that this may be a new form of digital divide between at-risk young people and other young people, pre-existing risks of mental illness becoming amplified among the already vulnerable population.[140]

Impact on cognition

There is research and development about the cognitive impacts of smartphones and digital technology.

Some educators and experts have raised some concerns about how technology may negatively affect students' thinking abilities and academic performance.[67]

File:Study about change in intelligence in children 9–12 from screen time watching, screen time Socializing, screen time gaming.webp
Measured results of the study

Impact on social life

Worldwide adolescent loneliness in contemporary schools and depression increased substantially after 2012 and a study found this to be associated with smartphone access and Internet use.[141][142]

Mitigation

Industry

Several technology firms have implemented changes intending to mitigate the adverse effects of excessive use of their platforms.

In December 2017, Facebook admitted passive consumption of social media could be harmful to mental health, although they said active engagement can have a positive effect. In January 2018, the platform made major changes to increase user engagement.[143] In January 2019, Facebook's then head of global affairs, Nick Clegg, responding to criticisms of Facebook and mental health concerns, stated they would do "whatever it takes to make this environment safer online especially for youngsters". Facebook admitted "heavy responsibilities" to the global community, and invited regulation by governments.[144] In 2018 Facebook and Instagram announced new tools that they asserted may assist with overuse of their products.[145] In 2019, Instagram, which has been investigated specifically in one study in terms of addiction,[146] began testing a platform change in Canada to hide the number of "likes" and views that photos and videos received in an effort to create a "less pressurised" environment.[147] It then continued this trial in Australia, Italy, Ireland, Japan, Brazil and New Zealand[148] before extending the experiment globally in November of that year. The platform also developed artificial intelligence to counter cyberbullying.[149]

In 2018, Alphabet Inc. released an update for Android smartphones, including a dashboard app enabling users to set timers on application use,[150] since named Digital Wellbeing.[151] Apple Inc. purchased a third-party application and then incorporated it in iOS 12 to measure "screen time".[152] Journalists have questioned the functionality of these products for users and parents, as well as the companies' motivations for introducing them.[150][153] Alphabet has also invested in a mental health specialist, Quartet, which uses machine learning to collaborate and coordinate digital delivery of mental health care.[154]

Two activist investors in Apple Inc voiced concerns in 2018 about the content and amount of time spent by youth. They called on Apple Inc. to act before regulators and consumers potentially force them to do so.[155] Apple Inc. responded that they have, "always looked out for kids, and [they] work hard to create powerful products that inspire, entertain, and educate children while also helping parents protect them online". The firm is planning new features that they asserted may allow them to play a pioneering role in regard to young people's health.[156]

Public sector

In China, Japan, South Korea and the United States, governmental efforts have been enacted to address issues relating to digital media use and mental health.

China's Ministry of Culture has enacted several public health efforts from as early as 2006 to address gaming and internet-related disorders. In 2007, an "Online Game Anti-Addiction System" was implemented for minors, restricting their use to 3 hours or less per day. The ministry also proposed a "Comprehensive Prevention Program Plan for Minors' Online Gaming Addiction" in 2013, to promulgate research, particularly on diagnostic methods and interventions.[157] China's Ministry of Education in 2018 announced that new regulations would be introduced to further limit the amount of time spent by minors in online games.[158][159] In response, Tencent, the owner of WeChat and the world's largest video game publisher, restricted the amount of time that children could spend playing one of its online games, to one hour per day for children 12 and under, and two hours per day for children aged 13–18.[160] On 2 September 2023, those under the age of 18 can no longer access the Internet on their mobile device between 10 pm and 6 am without parental bypass. Smartphone usage is similarly capped by default at 40 minutes a day for children younger than eight and at two hours for 16- and 17-year-olds.[161]

Japan's Ministry of Internal Affairs and Communications coordinates Japanese public health efforts in relation to problematic internet use and gaming disorder. Legislatively, the Act on Development of an Environment that Provides Safe and Secure Internet Use for Young People was enacted in 2008, to promote public awareness campaigns, and support NGOs to teach young people safe internet use skills.[157]

South Korea has eight government ministries responsible for public health efforts in relation to internet and gaming disorders. A review article published in Prevention Science in 2018 stated that the "region is unique in that its government has been at the forefront of prevention efforts, particularly in contrast to the United States, Western Europe, and Oceania."[157] Efforts are coordinated by the Ministry of Science and ICT, and include awareness campaigns, educational interventions, youth counseling centres, and promoting healthy online culture.[157]

In July 2022, Senators Richard Blumenthal and Marsha Blackburn introduced The Kids Online Safety Act (KOSA). This bill aims to protect minors from online harms by requiring social media platforms to mitigate online harms to minors through implementing safeguards (e.g. privacy settings), performing independent audits, and limiting the sharing of minors' personal information to third parties.[162] The bill passed the Senate in July 2024, but is still up for consideration by the House. Despite not being passed yet, KOSA is already incredibly polarizing legislation, with groups like The Electronic Frontier Foundation (EFF) opposing KOSA, saying the bill would lead to: "broad online censorship of lawful speech, including content designed to help children navigate and overcome the very same harms it identifies."[163]

In May 2023, the United States' Surgeon general took the rare measure of issuing an advisory on Social media and mental health.[164][165] In October, 41 U.S. states commenced legal proceedings against Meta. This included the attorneys general of 33 states filing a combined lawsuit over concerns about the addictive nature of Instagram and its impact on the mental health of young people.[166][167] In November 2024, Australia passed the world's first ban on social media for under-16s.[168][169]

Digital mental health care

Photograph of a screen from the "Wellmind" smartphone application
"Wellmind", a United Kingdom National Health Service smartphone application

Digital technologies have also provided opportunities for delivery of mental health care online; benefits have been found with computerized cognitive behavioral therapy for depression and anxiety.[170] Mindfulness based online intervention has been shown to have small to moderate benefits on mental health. The greatest effect size was found for the reduction of psychological stress. Benefits were also found regarding depression, anxiety, and well-being.[171][172]

The Lancet commission on global mental health and sustainability report from 2018 evaluated both benefits and harms of technology. It considered the roles of technologies in mental health, particularly in public education; patient screening; treatment; training and supervision; and system improvement.[173] A study in 2019 published in Front Psychiatry in the National Center for Biotechnology Information states that despite proliferation of many mental health apps there has been no "equivalent proliferation of scientific evidence for their effectiveness."[174]

Steve Blumenfield and Jeff Levin-Scherz, writing in the Harvard Business Review, claim that "most published studies show telephonic mental health care is as effective as in-person care in treating depression, anxiety and obsessive-compulsive disorder." The also cite a 2020 study done with the Veterans Administration as evidence of this as well.[175]

Epidemiology

In 1999, 58% of Finnish citizens had a mobile phone, including 75% of 15-17 year olds.[176] In 2000, a majority of U.S. households had at least one personal computer and internet access the following year.[177] In 2002, a majority of U.S. survey respondents reported having a mobile phone.[178] In September and December 2006 respectively, Luxembourg and the Netherlands became the first countries to completely transition from analog to digital television, while the United States commenced its transition in 2008. In September 2007, a majority of U.S. survey respondents reported having broadband internet at home.[179] In January 2013, a majority of U.S. survey respondents reported owning a smartphone.[180] An estimated 40% of U.S. households in 2006 owned a dedicated home video game console,[181][182] and by 2015, 51 percent of U.S. households owned a dedicated home video game console.[183][184] In April 2015, one survey of U.S. teenagers ages 13 to 17 reported that nearly three-quarters of them either owned or had access to a smartphone, and 92 percent went online daily, with 24 percent saying they went online "almost constantly."[185] In a 2024 survey, U.S. teenagers reported that 95 percent have access to smartphone, 97 percent spent time online daily, and 48 percent is spent online "almost constantly".[186]

Society and culture

In August 2015, NeuroTribes identified autistic digital communities such as Autism Network International, Wrong Planet, and the Autism List mailing list at St. John's University (New York City).[95] Steve Silberman argued that these communities "provided a natural home" where autistic members "could interact at their own pace."[96] Jim Sinclair was a member of Autism List and participated in founding Autism Network International.

See also

References

  1. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  2. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  3. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  4. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  5. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  6. "Error: no |title= specified when using {{Cite web}}". https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  7. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  8. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  9. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  10. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  11. 11.0 11.1 11.2 11.3 11.4 11.5 11.6 11.7 Huang, Chiungjung (2022). "A meta-analysis of the problematic social media use and mental health". International Journal of Social Psychiatry 68 (1): 12–33. doi:10.1177/0020764020978434. ISSN 0020-7640. PMID 33295241. https://journals.sagepub.com/doi/10.1177/0020764020978434. 
  12. 12.0 12.1 12.2 12.3 12.4 12.5 12.6 12.7 Screen-based activities and children and young people's mental health: A Systematic Map of Reviews. EPPI-Centre, Social Science Research Unit, UCL Institute of Education, University College London. 2018. ISBN 978-1-911605-13-3. http://eppi.ioe.ac.uk/cms/Portals/0/PDF%20reviews%20and%20summaries/Systematic%20Map%20of%20Reviews%20on%20Screen-based%20activties_08.01.19.pdf?ver=2019-01-29-155200-517. Retrieved 15 May 2019. 
  13. 13.0 13.1 13.2 13.3 13.4 13.5 13.6 13.7 13.8 ((Office of the Surgeon General)) (2023), "Social Media Has Both Positive and Negative Impacts on Children and Adolescents" (in en), Social Media and Youth Mental Health: The U.S. Surgeon General's Advisory [Internet] (US Department of Health and Human Services), https://www.ncbi.nlm.nih.gov/books/NBK594763/, retrieved 2024-01-01 
  14. 14.0 14.1 14.2 14.3 14.4 14.5 "Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews". BMJ Open 9 (1). January 2019. doi:10.1136/bmjopen-2018-023191. PMID 30606703. Bibcode2019BMCO....923191S. 
  15. 15.0 15.1 15.2 15.3 15.4 15.5 15.6 "The Multipurpose Application WeChat: A Review on Recent Research" (in en). Frontiers in Psychology 9. 2018. doi:10.3389/fpsyg.2018.02247. PMID 30618894. 
  16. 16.0 16.1 16.2 Multiple sources:
     • "Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews". BMJ Open 9 (1). January 2019. doi:10.1136/bmjopen-2018-023191. PMID 30606703. Bibcode2019BMCO....923191S. 
     • Beales, Katriona; MacDonald, Fiona; Bartlett, Vanessa; Bowden-Jones, Henrietta (2017). Are we all addicts now?: digital dependence. Liverpool: Liverpool University Press. ISBN 978-1-78694-081-0. OCLC 988053669. 
     • "Online social networking and mental health". Cyberpsychology, Behavior and Social Networking 17 (10): 652–657. October 2014. doi:10.1089/cyber.2014.0070. PMID 25192305. 
     • "Social Networking Sites and Addiction: Ten Lessons Learned". International Journal of Environmental Research and Public Health 14 (3): 311. March 2017. doi:10.3390/ijerph14030311. PMID 28304359. Bibcode2017IJERP..14..311K. 
     • "The Impact of Screen Media on Children: A Eurovision For Parliament". https://www.steinereducation.edu.au/wp-content/uploads/uk_screen_time.pdf. 
  17. 17.0 17.1 "Expanding the definition of addiction: DSM-5 vs. ICD-11". CNS Spectrums 21 (4): 300–303. August 2016. doi:10.1017/S1092852916000183. PMID 27151528. 
  18. Ellis, David A. (1 August 2019). "Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors". Computers in Human Behavior 97: 60–66. doi:10.1016/j.chb.2019.03.006. ISSN 0747-5632. http://psyarxiv.com/cwt8x/. Retrieved 31 January 2020. 
  19. Young, Kimberly (27 February 1998). Caught in the Net: How to Recognize the Signs of Internet Addiction—and a Winning Strategy for recovery. New York City: Wiley. ISBN 978-0-471-19159-9. OCLC 38130573. 
  20. "Social network and addiction". Studies in Health Technology and Informatics 144: 33–36. 2009. PMID 19592725. 
  21. "Health advisory on social media use in adolescence". https://www.apa.org/topics/social-media-internet/health-advisory-adolescent-social-media-use. 
  22. 22.0 22.1 ""Internet Addiction": a Conceptual Minefield". International Journal of Mental Health and Addiction 16 (1): 225–232. 2018. doi:10.1007/s11469-017-9811-6. PMID 29491771. 
  23. 23.0 23.1 23.2 "How does the time children spend using digital technology impact their mental well-being, social relationships and physical activity? – An evidence-focused literature review". UNICEF Office of Research. 1 February 2017. https://www.unicef-irc.org/publications/pdf/Children-digital-technology-wellbeing.pdf. 
  24. "Is smartphone addiction really an addiction?". Journal of Behavioral Addictions 7 (2): 252–259. June 2018. doi:10.1556/2006.7.2018.49. PMID 29895183. 
  25. "Increased Screen Time: Implications for Early Childhood Development and Behavior". Pediatric Clinics of North America 63 (5): 827–839. October 2016. doi:10.1016/j.pcl.2016.06.006. PMID 27565361. 
  26. Hsin, Chong-Ting (2014). "The Influence of Young Children's Use of Technology on Their Learning: A Review". Journal of Educational Technology & Society 17 (4): 85–99. 
     • "The [not so] new digital family: disciplinary functions of representations of children and technology". Feminism & Psychology 25 (3): 326–346. 1 August 2015. doi:10.1177/0959353514562805. 
     • "The impact of home computer use on children's activities and development". The Future of Children 10 (2): 123–144. 22 September 2000. doi:10.2307/1602692. PMID 11255703. 
  27. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  28. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  29. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  30. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  31. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  32. Kaczmarek, Łukasz D.; Chwiłkowska, Patrycja; Behnke, Maciej; Drążkowski, Dariusz (2025-08-26). "Video game play and well-being during the COVID-19 pandemic: a meta-analysis of global findings". Humanities and Social Sciences Communications 12. doi:10.1057/s41599-025-05581-6. https://www.nature.com/articles/s41599-025-05581-6. 
  33. "Social media cited as largest source of procrastination". 2014-12-04. https://huntnewsnu.com/36142/campus/nu-students-admit-social-media-as-largest-source-of-procrastination/. 
  34. Weigle, Paul E., and Pamela Hurst-Della Pietra. "Children and Screens: Youth Digital Media Use and Mental Health Outcomes." Journal of the American Academy of Child & Adolescent Psychiatry 60, no. 10 (October 2, 2021): S297–S297. https://doi.org/10.1016/j.jaac.2021.07.700.
  35. 35.0 35.1 35.2 Dienlin, Tobias; Johannes, Niklas (2020-06-30). "The impact of digital technology use on adolescent well-being" (in en). Dialogues in Clinical Neuroscience 22 (2): 135–142. doi:10.31887/DCNS.2020.22.2/tdienlin. ISSN 1958-5969. PMID 32699513. 
  36. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  37. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  38. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  39. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  40. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  41. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  42. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  43. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  44. Statistics Canada (2023). Online digital media use and adolescent mental health. doi:10.25318/82-003-X202300200002-ENG. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm. 
  45. . https://assets.cureus.com/uploads/review_article/pdf/31508/20240724-319105-ht4xkq.pdf. 
  46. Marciano, Laura; Ostroumova, Michelle; Schulz, Peter Johannes; Camerini, Anne-Linda (2022-02-01). "Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis". Frontiers in Public Health 9. doi:10.3389/fpubh.2021.793868. ISSN 2296-2565. PMID 35186872. PMC 8848548. https://www.frontiersin.org/articles/10.3389/fpubh.2021.793868/full. 
  47. American Psychological Association. Social media and mental health. 2021.
  48. Centers for Disease Control and Prevention. Adolescent and school health. 2021.
  49. Parekh, Ranna. "Internet Gaming". The American Psychiatric Association. https://www.psychiatry.org/patients-families/internet-gaming. 
  50. "Scholars' open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal". Journal of Behavioral Addictions 6 (3): 267–270. September 2017. doi:10.1556/2006.5.2016.088. PMID 28033714. 
  51. "Internet addiction: a 21st century epidemic?". BMC Medicine 8 (1). October 2010. doi:10.1186/1741-7015-8-61. PMID 20955578. 
  52. Cooper, Anderson (9 December 2018). "Groundbreaking study examines effects of screen time on kids". CBS News. https://www.cbsnews.com/news/groundbreaking-study-examines-effects-of-screen-time-on-kids-60-minutes/. 
  53. "Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions". Cyberpsychology, Behavior and Social Networking 17 (12): 755–760. December 2014. doi:10.1089/cyber.2014.0317. PMID 25489876. 
  54. "The Internet Is Not a Tool: Reappraising the Model for Internet-Addiction Disorder Based on the Constraints and Opportunities of the Digital Environment". Frontiers in Psychology 9. 18 April 2018. doi:10.3389/fpsyg.2018.00558. PMID 29720954. 
  55. "Online social networking and mental health". Cyberpsychology, Behavior and Social Networking 17 (10): 652–7. October 2014. doi:10.1089/cyber.2014.0070. PMID 25192305. 
  56. "The Social Media Disorder Scale". Computers in Human Behavior 61: 478–487. 1 August 2016. doi:10.1016/j.chb.2016.03.038. 
  57. "Online Social Network Site Addiction: A Comprehensive Review". Current Addiction Reports 2 (2): 175–184. 1 June 2015. doi:10.1007/s40429-015-0056-9. ISSN 2196-2952. https://link.springer.com/content/pdf/10.1007%2Fs40429-015-0056-9.pdf. 
  58. "Online Gambling Addiction: the Relationship Between Internet Gambling and Disordered Gambling". Current Addiction Reports 2 (2): 185–193. 2015. doi:10.1007/s40429-015-0057-8. PMID 26500834. 
  59.  • "Cyberbullying: An Exploratory Analysis of Factors Related to Offending and Victimization". Deviant Behavior 29 (2): 129–156. 2008. doi:10.1080/01639620701457816. 
     • "Offline consequences of online victimization: School violence and delinquency.". Journal of School Violence 6 (3): 89–112. October 2007. doi:10.1300/J202v06n03_06. 
     • Bullying beyond the schoolyard: Preventing and responding to cyberbullying. Thousand Oaks, CA: Corwin Press. 2009. ISBN 978-1-4129-6689-4. 
     • "Bullies move beyond the schoolyard: A preliminary look at cyberbullying". Youth Violence and Juvenile Justice 4 (2): 148–169. 2006. doi:10.1177/1541204006286288. 
  60. Nixon, Charisse L (2014-08-01). "Current perspectives: the impact of cyberbullying on adolescent health". Adolescent Health, Medicine and Therapeutics 5: 143–158. doi:10.2147/AHMT.S36456. ISSN 1179-318X. PMID 25177157. 
  61. "Effects of Cyberbullying" (in en-US). https://socialmediavictims.org/cyberbullying/effects/. 
  62. Almuneef, Maha; Anton-Erxleben, Katharina; Burton, Patrick (14 November 2016). Ending the torment: tackling bullying from the schoolyard to cyberspace. United Nations. Office of the Special Representative of the Secretary-General on Violence against Children. New York: United Nations Publications. p. 116. ISBN 978-92-1-101344-3. OCLC 982286456. 
  63. "Media Multitasking and Cognitive, Psychological, Neural, and Learning Differences". Pediatrics 140 (Suppl 2): S62–S66. November 2017. doi:10.1542/peds.2016-1758D. PMID 29093034. 
  64. "Minds and brains of media multitaskers: Current findings and future directions". Proceedings of the National Academy of Sciences of the United States of America 115 (40): 9889–9896. October 2018. doi:10.1073/pnas.1611612115. PMID 30275312. Bibcode2018PNAS..115.9889U. 
  65. Huber, Jennifer (29 October 2018). "How does media multitasking affect the mind?" (in en-US). https://scopeblog.stanford.edu/2018/10/29/how-does-media-multitasking-affect-the-mind/. 
  66. Rahmillah, Fety Ilma; Tariq, Amina; King, Mark; Oviedo-Trespalacios, Oscar (2023). "Is distraction on the road associated with maladaptive mobile phone use? A systematic review". Accident Analysis & Prevention (Elsevier) 181. doi:10.1016/j.aap.2022.106900. PMID 36580764. 
  67. 67.0 67.1 Devi, Khumukcham A.; Singh, Sudhakar K. (2023). "The hazards of excessive screen time: Impacts on physical health, mental health, and overall well-being". Journal of Education and Health Promotion 12: 413. doi:10.4103/jehp.jehp_447_23. ISSN 2277-9531. PMID 38333167. 
  68. "Treatments for Internet gaming disorder and Internet addiction: A systematic review". Psychology of Addictive Behaviors 31 (8): 979–994. December 2017. doi:10.1037/adb0000315. PMID 28921996. 
  69. "How to Make a Family Media Use Plan". http://www.healthychildren.org/English/family-life/Media/Pages/How-to-Make-a-Family-Media-Use-Plan.aspx. 
  70. Korioth, Trisha (12 December 2018). "Family Media Plan helps parents set boundaries for kids". AAP News. http://www.aappublications.org/news/2016/10/21/MediaParents102116. Retrieved 9 January 2019. 
  71. Ferguson, Christopher J.; Beresin, Eugene (1 June 2017). "Social science's curious war with pop culture and how it was lost: The media violence debate and the risks it holds for social science". Preventive Medicine 99: 69–76. doi:10.1016/j.ypmed.2017.02.009. ISSN 0091-7435. PMID 28212816. 
  72. "Internet addiction: definition, assessment, epidemiology and clinical management". CNS Drugs 22 (5): 353–365. 2008. doi:10.2165/00023210-200822050-00001. PMID 18399706. 
  73. "An international consensus for assessing Internet gaming disorder using the new DSM-5 approach". Addiction 109 (9): 1399–1406. September 2014. doi:10.1111/add.12457. PMID 24456155. 
  74. "Gaming disorder". World Health Organization. September 2018. https://www.who.int/features/qa/gaming-disorder/en/. 
  75. "Hooked on Social Media? Help From Adults with ADHD". ADDitude Magazine. 23 November 2016. https://www.additudemag.com/social-media-addiction-with-adhd/. 
  76. "ADHD and Learning Disabilities Directory: ADD Coaches, Organizers, Doctors, Schools, Camps". https://directory.additudemag.com/. 
  77. "Resources Online". https://www.adhdaustralia.org.au/resources-online/. 
  78. "ADHD Resource Center". https://www.aacap.org/aacap/families_and_youth/resource_centers/adhd_resource_center/Home.aspx. 
  79. Kesner, Ladislav; Horáček, Jiří (2022). "Global Adversities, the Media, and Mental Health". Frontiers in Psychiatry 12. doi:10.3389/fpsyt.2021.809239. ISSN 1664-0640. PMID 35082704. 
  80. 81.0 81.1 81.2 81.3 González-Bueso, Vega; Santamaría, Juan José; Fernández, Daniel; Merino, Laura; Montero, Elena; Ribas, Joan (2018). "Association between Internet Gaming Disorder or Pathological Video-Game Use and Comorbid Psychopathology: A Comprehensive Review". International Journal of Environmental Research and Public Health (MDPI) 15 (4): 668. doi:10.3390/ijerph15040668. PMID 29614059. 
  81. 82.0 82.1 82.2 82.3 Li, Ying; Li, Guangxiao; Liu, Li; Wu, Hui (2020). "Correlations between mobile phone addiction and anxiety, depression, impulsivity, and poor sleep quality among college students: A systematic review and meta-analysis". Journal of Behavioral Addictions (Akadémiai Kiadó) 9 (3): 551–571. doi:10.1556/2006.2020.00057. PMID 32903205. 
  82. Santos, Renata Maria Silva; Mendes, Camila Guimarães; Miranda, Débora Marques; Romano-Silva, Marco Aurélio (2022). "The Association between Screen Time and Attention in Children: A Systematic Review". Developmental Neuropsychology (Routledge) 47 (4): 175–192. doi:10.1080/87565641.2022.2064863. PMID 35430923. 
  83. Koncz, Patrik; Demetrovics, Zsolt; Takacs, Zsofia K.; Griffiths, Mark D.; Nagy, Tamás; Király, Orsolya (2023). "The emerging evidence on the association between symptoms of ADHD and gaming disorder: A systematic review and meta-analysis". Clinical Psychology Review (Elsevier) 106. doi:10.1016/j.cpr.2023.102343. PMID 37883910. 
  84. Augner, Christoph; Vlasak, Thomas; Barth, Alfred (2023). "The relationship between problematic internet use and attention deficit, hyperactivity and impulsivity: A meta-analysis". Journal of Psychiatric Research (Elsevier) 168: 1–12. doi:10.1016/j.jpsychires.2023.10.032. PMID 37866293. 
  85. Coutelle, Romain; Balzer, Julie; Rolling, Julie; Lalanne, Laurence (2024-10-01). "Problematic gaming, psychiatric comorbidities, and adolescence: A systematic review of the literature". Addictive Behaviors 157. doi:10.1016/j.addbeh.2024.108091. ISSN 0306-4603. PMID 38901145. https://www.sciencedirect.com/science/article/pii/S0306460324001400. 
  86. Daraj, Lateefa Rashed; AlGhareeb, Muneera; Almutawa, Yaser Mansoor; Trabelsi, Khaled; Jahrami, Haitham (2023). "Systematic Review and Meta-Analysis of the Correlation Coefficients between Nomophobia and Anxiety, Smartphone Addiction, and Insomnia Symptoms". Healthcare (MDPI) 11 (14): 2066. doi:10.3390/healthcare11142066. PMID 37510507. 
  87. 89.0 89.1 Hussain, Zaheer; Griffiths, Mark D. (2018). "Problematic Social Networking Site Use and Comorbid Psychiatric Disorders: A Systematic Review of Recent Large-Scale Studies". Frontiers in Psychiatry (Frontiers Media) 9. doi:10.3389/fpsyt.2018.00686. PMID 30618866. 
  88. 90.0 90.1 Damodar, Sreedevi; Lokemoen, Cidney; Gurusamy, Vikram; Takhi, Manpreet; Bishev, Daniel; Parrill, Allison; Deviney, Melissa; Person, Ulziibat et al. (2022). "Trending: A Systematic Review of Social Media Use's Influence on Adolescent Anxiety and Depression". Adolescent Psychiatry (Bentham Science Publishers) 12 (1): 11–22. doi:10.2174/2210676612666220225122720. 
  89. 91.0 91.1 Hancock, Jeff; Liu, Sunny Xun; Luo, Mufan; Mieczkowski, Hannah (2022). "Psychological Well-Being and Social Media Use: A Meta-Analysis of Associations between Social Media Use and Depression, Anxiety, Loneliness, Eudaimonic, Hedonic and Social Well-Being". doi:10.2139/ssrn.4053961. https://deliverypdf.ssrn.com/delivery.php?ID=190081025071009117094004126023066121042037029042091050024117024086002123092082000075126060062111031022046113097083121107015103049015010026004068090119097092069080108023077048127108006016087078101004088126020105023127105124027015018117003125116127122026&EXT=pdf&INDEX=TRUE. 
  90. 92.0 92.1 Lopes, Lucas Silva; Valentini, João Pedro; Monteiro, Thomas Hagemann; de Freitas Costacurta, Marcelo Cunha; Soares, Luiza Oliveira Nicastro; Telfar-Barnard, Lucy; Nunes, Paula Villela (2022). "Problematic Social Media Use and Its Relationship with Depression or Anxiety: A Systematic Review". Cyberpsychology, Behavior, and Social Networking (Mary Ann Liebert) 25 (11): 691–702. doi:10.1089/cyber.2021.0300. PMID 36219756. 
  91. Tang, Samantha; Werner-Seidler, Aliza; Torok, Michelle; Mackinnon, Andrew J.; Christensen, Helen (2021). "The relationship between screen time and mental health in young people: A systematic review of longitudinal studies". Clinical Psychology Review (Elsevier) 86. doi:10.1016/j.cpr.2021.102021. PMID 33798997. 
  92. 94.0 94.1 Keles, Betul; McCrae, Niall; Grealish, Annmarie (2019). "A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents". International Journal of Adolescence and Youth (Taylor & Francis) 25 (1): 79–93. doi:10.1080/02673843.2019.1590851. 
  93. 95.0 95.1 Kopp, Ray (2006-01-01). "Autism List FAQ". https://cray.apana.org.au/autism/autismlistfaq.html. 
  94. 96.0 96.1 Silberman, Steve; Sacks, Oliver W. (2016). NeuroTribes: the legacy of autism and the future of neurodiversity. New York: Avery, an imprint of Penguin Random House. pp. 439–442. ISBN 978-0-399-18561-8. 
  95. Stiller, Anja; Mößle, Thomas (2018). "Media Use Among Children and Adolescents with Autism Spectrum Disorder: a Systematic Review". Review Journal of Autism and Developmental Disorders (Springer) 5 (3): 227–246. doi:10.1007/s40489-018-0135-7. 
  96. Slobodin, Ortal; Heffler, Karen Frankel; Davidovitch, Michael (2019). "Screen Media and Autism Spectrum Disorder: A Systematic Literature Review". Journal of Developmental and Behavioral Pediatrics (Lippincott Williams & Wilkins) 40 (4): 303–311. doi:10.1097/DBP.0000000000000654. PMID 30908423. 
  97. Craig, Francesco; Tenuta, Flaviana; De Giacomo, Andrea; Trabacca, Antonio; Costabile, Angela (2021). "A systematic review of problematic video-game use in people with Autism Spectrum Disorders". Research in Autism Spectrum Disorders (Elsevier) 82. doi:10.1016/j.rasd.2021.101726. 
  98. Murray, Alayna; Koronczai, Beatrix; Király, Orsolya; Griffiths, Mark D.; Mannion, Arlene; Leader, Geraldine; Demetrovics, Zsolt (2021). "Autism, Problematic Internet Use and Gaming Disorder: A Systematic Review". Review Journal of Autism and Developmental Disorders (Springer) 9: 120–140. doi:10.1007/s40489-021-00243-0. 
  99. Normand, Claude L.; Fisher, Marisa H.; Simonato, Isabelle; Fecteau, Stéphanie-M.; Poulin, Marie-Hélène (2021). "A Systematic Review of Problematic Internet Use in Children, Adolescents, and Adults with Autism Spectrum Disorder". Review Journal of Autism and Developmental Disorders (Springer) 9 (4): 507–520. doi:10.1007/s40489-021-00270-x. 
  100. Ophir, Yaakov; Rosenberg, Hananel; Tikochinski, Refael; Dalyot, Shani; Lipshits-Braziler, Yuliya (2023). "Screen Time and Autism Spectrum Disorder: A Systematic Review and Meta-Analysis". JAMA Network Open (American Medical Association) 6 (12): e2346775. doi:10.1001/jamanetworkopen.2023.46775. PMID 38064216. 
  101. Pan, Xinyi; Wang, Ruochen (2021). "Is Problematic Internet use a risk factor for bipolar disorder—Evidence from Meta-Analysis". 2021 2nd International Conference on Big Data and Informatization Education (ICBDIE). 2021. Institute of Electrical and Electronics Engineers. pp. 540–544. doi:10.1109/ICBDIE52740.2021.00129. ISBN 978-1-6654-3870-4. 
  102. 105.0 105.1 Appel, Markus; Marker, Caroline; Gnambs, Timo (2020). "Are Social Media Ruining Our Lives? A Review of Meta-Analytic Evidence". Review of General Psychology (American Psychological Association) 24 (1): 60–74. doi:10.1177/1089268019880891. 
  103. Molero, María M.; Martos, África; Barragán, Ana B.; Pérez-Fuentes, María C.; Gázquez, José J. (2022). "Anxiety and Depression from Cybervictimization in Adolescents: A Metaanalysis and Meta-regression Study". The European Journal of Psychology Applied to Legal Context (Madrid Regional Association of Psychology) 14 (1): 42–50. doi:10.5093/ejpalc2022a5. 
  104. Augner, Christoph; Vlasak, Thomas; Aichhorn, Wolfgang; Barth, Alfred (2023). "The association between problematic smartphone use and symptoms of anxiety and depression—a meta-analysis". Journal of Public Health (Oxford University Press) 45 (1): 193–201. doi:10.1093/pubmed/fdab350. PMID 34585243. 
  105. Escobar-Viera, César G.; Whitfield, Darren L.; Wessel, Charles B.; Shensa, Ariel; Sidani, Jaime E.; Brown, Andre L.; Chandler, Cristian J.; Hoffman, Beth L. et al. (2018). "For Better or for Worse? A Systematic Review of the Evidence on Social Media Use and Depression Among Lesbian, Gay, and Bisexual Minorities". JMIR Mental Health (JMIR Publications) 5 (3). doi:10.2196/10496. PMID 30037786. 
  106. 109.0 109.1 Jiaxin, Yang; Xi, Fu; Xiaoli, Liao; Yamin, Li (2020). "Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis". Psychiatry Research (Elsevier) 284. doi:10.1016/j.psychres.2019.112686. PMID 31757638. 
  107. Hussain, Zaheer; Wegmann, Elisa; Yang, Haibo; Montag, Christian (2020). "Social Networks Use Disorder and Associations With Depression and Anxiety Symptoms: A Systematic Review of Recent Research in China". Frontiers in Psychology (Frontiers Media) 11. doi:10.3389/fpsyg.2020.00211. PMID 32153455. 
  108. Zink, Jennifer; Belcher, Britni R.; Imm, Kellie; Leventhal, Adam M. (2020). "The relationship between screen-based sedentary behaviors and symptoms of depression and anxiety in youth: a systematic review of moderating variables". BMC Public Health (BioMed Central) 20 (1): 472. doi:10.1186/s12889-020-08572-1. PMID 32272906. 
  109. Li, Liqing; Zhang, Qi; Zhu, Liyong; Zeng, Guohua; Huang, Hongwei; Zhuge, Jian; Kuang, Xiaorui; Yang, Sule et al. (2022). "Screen time and depression risk: A meta-analysis of cohort studies". Frontiers in Psychiatry (Frontiers Media) 13. doi:10.3389/fpsyt.2022.1058572. PMID 36620668. 
  110. Piteo, Elena Marie; Ward, Kelly (2020). "Review: Social networking sites and associations with depressive and anxiety symptoms in children and adolescents – a systematic review". Child and Adolescent Mental Health (Wiley-Blackwell) 25 (4): 201–216. doi:10.1111/camh.12373. PMID 33118256. 
  111. Cataldo, Ilaria; Lepri, Bruno; Neoh, Michelle Jin Yee; Esposito, Gianluca (2021). "Social Media Usage and Development of Psychiatric Disorders in Childhood and Adolescence: A Review". Frontiers in Psychiatry (Frontiers Media) 11. doi:10.3389/fpsyt.2020.508595. PMID 33519535. 
  112. Shannon, Holly; Bush, Katie; Villeneuve, Paul; Hellemans, Kim; Guimond, Synthia (2022). "Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis". JMIR Mental Health (JMIR Publications) 9 (4). doi:10.2196/33450. PMID 35436240. 
  113. Alimoradi, Zainab; Jafari, Elahe; Potenza, Marc N.; Lin, Chung-Ying; Wu, Chien-Yi; Pakpour, Amir H. (2022). "Binge-Watching and Mental Health Problems: A Systematic Review and Meta-Analysis". International Journal of Environmental Research and Public Health (MDPI) 19 (15): 9707. doi:10.3390/ijerph19159707. PMID 35955069. 
  114. Hilty, Donald M.; Stubbe, Dorothy; McKean, Alastair J.; Hoffman, Pamela E.; Zalpuri, Isheeta; Myint, Myo T.; Joshi, Shashank V.; Pakyurek, Murat et al. (2023). "A scoping review of social media in child, adolescents and young adults: research findings in depression, anxiety and other clinical challenges". BJPsych Open (Cambridge University Press) 9 (5): e152. doi:10.1192/bjo.2023.523. PMID 37563766. 
  115. Abbouyi, Samira; Bouazza, Samira; El Kinany, Soukaina; El Rhazi, Karima; Zarrouq, Btissame (2024). "Depression and anxiety and its association with problematic social media use in the MENA region: a systematic review". The Egyptian Journal of Neurology, Psychiatry and Neurosurgery (Springer) 60. doi:10.1186/s41983-024-00793-0. 
  116. Mei, Xi; Zhou, Qi; Li, Xingxing; Jing, Pan; Wang, Xiaojia; Hu, Zhenyu (2018). "Sleep problems in excessive technology use among adolescent: a systemic review and meta-analysis". Sleep Science and Practice (Springer) 2 (9). doi:10.1186/s41606-018-0028-9. 
  117. Alimoradi, Zainab; Lin, Chung-Ying; Broström, Anders; Bülow, Pia H.; Bajalan, Zahra; Griffiths, Mark D.; Ohayon, Maurice M.; Pakpour, Amir H. (2019). "Internet addiction and sleep problems: A systematic review and meta-analysis". Sleep Medicine Reviews (Elsevier) 47: 51–61. doi:10.1016/j.smrv.2019.06.004. PMID 31336284. http://irep.ntu.ac.uk/id/eprint/36923/7/14153_a1595_Griffiths.pdf. 
  118. Mac Cárthaigh, Saoirse; Griffin, Claire; Perry, John (2020). "The relationship between sleep and problematic smartphone use among adolescents: A systematic review". Developmental Review (Elsevier) 55. doi:10.1016/j.dr.2020.100897. 
  119. Janssen, Xanne; Martin, Anne; Hughes, Adrienne R.; Hill, Catherine M.; Kotronoulas, Grigorios; Hesketh, Kathryn R. (2020). "Associations of screen time, sedentary time and physical activity with sleep in under 5s: A systematic review and meta-analysis". Sleep Medicine Reviews (Elsevier) 49. doi:10.1016/j.smrv.2019.101226. PMID 31778942. 
  120. Brautsch, Louise AS.; Lund, Lisbeth; Andersen, Martin M.; Jennum, Poul J.; Folker, Anna P.; Andersen, Susan (2023). "Digital media use and sleep in late adolescence and young adulthood: A systematic review". Sleep Medicine Reviews (Elsevier) 68. doi:10.1016/j.smrv.2022.101742. PMID 36638702. 
  121. Alonzo, Rea; Hussain, Junayd; Stranges, Saverio; Anderson, Kelly K. (2021). "Interplay between social media use, sleep quality, and mental health in youth: A systematic review". Sleep Medicine Reviews (Elsevier) 56. doi:10.1016/j.smrv.2020.101414. PMID 33385767. https://ir.lib.uwo.ca/context/epidempub/article/1069/viewcontent/Manuscript___Sleep_Medicine_Reviews_FINAL.pdf. 
  122. Leow, Mabel Qi He; Chiang, Joelle; Chua, Tiffany Jia Xuan; Wang, Sean; Tan, Ngiap Chuan (2023). "The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis". PLOS ONE (PLOS) 18 (9). doi:10.1371/journal.pone.0290724. PMID 37713408. Bibcode2023PLoSO..1890724L. 
  123. Pagano, Maria; Bacaro, Valeria; Crocetti, Elisabetta (2023). ""Using digital media or sleeping … that is the question". A meta-analysis on digital media use and unhealthy sleep in adolescence". Computers in Human Behavior (Elsevier) 146. doi:10.1016/j.chb.2023.107813. 
  124. Peracchia, Sara; Curcio, Giuseppe (2018). "Exposure to video games: effects on sleep and on post-sleep cognitive abilities. A sistematic review of experimental evidences". Sleep Science (Thieme Medical Publishers) 11 (4): 302–314. doi:10.5935/1984-0063.20180046. PMID 30746049. 
  125. Gnambs, Timo; Appel, Markus (2018). "Narcissism and Social Networking Behavior: A Meta-Analysis". Journal of Personality (Wiley-Blackwell) 86 (2): 200–212. doi:10.1111/jopy.12305. PMID 28170106. 
  126. McCain, Jessica L.; Campbell, W. Keith (2018). "Narcissism and Social Media Use: A Meta-Analytic Review". Psychology of Popular Media Culture (American Psychological Association) 7 (3): 308–327. doi:10.1037/ppm0000137. https://www.researchgate.net/publication/305766785. Retrieved 9 June 2020. 
  127. Casale, Silvia; Banchi, Vanessa (2020). "Narcissism and problematic social media use: A systematic literature review". Addictive Behaviors Reports (Elsevier) 11. doi:10.1016/j.abrep.2020.100252. PMID 32467841. 
  128. "The Intricate (and New) Link Between OCD and Social Media – Northlake Behavioral Health" (in en-US). https://northlakebh.org/the-intricate-and-new-link-between-ocd-and-social-media/#:~:text=The%20need%20to%20repeatedly%20check,potentially%20amplifying%20symptoms%20and%20distress.. 
  129. 134.0 134.1 134.2 134.3 134.4 "Children and Adolescents and Digital Media". Pediatrics 138 (5). November 2016. doi:10.1542/peds.2016-2593. PMID 27940795. 
  130. Moorhead, S. Anne (22 August 2017). "Social Media for Healthcare Communication" (in en-US). Oxford Research Encyclopedia of Communication. doi:10.1093/acrefore/9780190228613.013.335. ISBN 978-0-19-022861-3. https://oxfordre.com/communication/view/10.1093/acrefore/9780190228613.001.0001/acrefore-9780190228613-e-335. Retrieved 6 June 2021. 
  131. See, for example, patients of "Stop Cancer" (Halasartan), as cited in: Ben-Aharon, Irit; Goshen-Lago, Tal; Fontana, Elisa; Smyth, Elizabeth; Guren, Marianne; Caballero, Carmela; Lordick, Florian (1 June 2019). "Social networks for young patients with cancer: the time for system agility" (in English). The Lancet Oncology 20 (6): 765. doi:10.1016/S1470-2045(19)30346-8. ISSN 1470-2045. PMID 31162090. https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045(19)30346-8/abstract. Retrieved 6 June 2021. 
  132. Ponti, Michelle (5 September 2019). "Digital media: Promoting healthy screen use in school-aged children and adolescents". Paediatrics & Child Health 24 (6): 402–408. doi:10.1093/pch/pxz095. PMID 31528113. 
  133. Critchlow, Nathan. "Health and well-being in the digital society" (in en). Social Determinants of Health. doi:10.2307/j.ctt22p7kj8.14. 
  134. "The Anthropology of Social Media". https://blogs.scientificamerican.com/observations/the-anthropology-of-social-media/. 
  135. 140.0 140.1 140.2 "Smartphones are bad for some teens, not all". Nature 554 (7693): 432–434. February 2018. doi:10.1038/d41586-018-02109-8. PMID 29469108. Bibcode2018Natur.554..432O. 
  136. "Teens around the world are lonelier than a decade ago. The reason may be smartphones.". Washington Post. https://www.washingtonpost.com/local/social-issues/teens-loneliness-smart-phones/2021/07/20/cde8c866-e84e-11eb-8950-d73b3e93ff7f_story.html. 
  137. Twenge, Jean M.; Haidt, Jonathan; Blake, Andrew B.; McAllister, Cooper; Lemon, Hannah; Le Roy, Astrid (20 July 2021). "Worldwide increases in adolescent loneliness" (in en). Journal of Adolescence 93: 257–269. doi:10.1016/j.adolescence.2021.06.006. ISSN 0140-1971. PMID 34294429. https://www.sciencedirect.com/science/article/pii/S0140197121000853. Retrieved 23 August 2021. 
  138. Levin, Sam (15 December 2017). "Facebook admits it poses mental health risk – but says using site more can help". The Guardian. https://www.theguardian.com/technology/2017/dec/15/facebook-mental-health-psychology-social-media. 
  139. Rajan, Amol (28 January 2019). "Can Nick Clegg help Facebook grow up?". BBC News. https://www.bbc.com/news/entertainment-arts-47036000. 
  140. Booth, Callum (1 August 2018). "Facebook and Instagram officially announce new tools to fight social media addiction". https://thenextweb.com/facebook/2018/08/01/social-media-addiction-facebook-instagram/. 
  141. "Instagram addiction and the Big Five of personality: The mediating role of self-liking". Journal of Behavioral Addictions 7 (1): 158–170. March 2018. doi:10.1556/2006.7.2018.15. PMID 29461086. 
  142. Shaban, Hamza (1 May 2019). "Here's why Instagram is going to hide your 'likes'". The Washington Post. https://www.washingtonpost.com/technology/2019/05/01/heres-why-instagram-is-going-hide-your-likes/?noredirect=on. 
  143. Robertson, Holly (18 July 2019). "Instagram hides 'likes' from more users". Yahoo! News. Agence France-Presse. https://au.news.yahoo.com/instagram-hides-likes-more-users-072428027--spt.html. 
  144. Steinmetz, Katy (8 July 2018). "Inside Instagram's War on Bullying" (in en). Time. https://time.com/5619999/instagram-mosseri-bullying-artificial-intelligence/. 
  145. 150.0 150.1 Haig, Matt (10 May 2018). "Google wants to cure our phone addiction. How about that for irony? | Matt Haig". The Guardian. ISSN 0261-3077. https://www.theguardian.com/commentisfree/2018/may/10/google-phone-addiction-app. 
  146. "Digital Wellbeing" (in en). https://www.android.com/digital-wellbeing/. 
  147. Ceres, Pia (25 September 2018). "How to Use Apple's Screen Time Controls on iOS 12". Wired. ISSN 1059-1028. https://www.wired.com/story/how-to-use-screen-time-ios-12/. 
  148. Haller, Sonja (27 August 2018). "Warning: Apple's new Screen Time could allow your child to watch NC-17 movies". https://www.usatoday.com/story/life/allthemoms/2018/08/27/apples-screen-time-default-let-kids-access-explicit-movies-and-books/1111575002/. 
  149. "Google invests in mental health specialist Quartet to expand machine learning team" (in en). 4 January 2018. https://www.healthcareitnews.com/news/google-invests-mental-health-specialist-quartet-expand-machine-learning-team. 
  150. Benoit, David (7 January 2018). "iPhones and Children Are a Toxic Pair, Say Two Big Apple Investors". https://www.wsj.com/articles/iphones-and-children-are-a-toxic-pair-say-two-big-apple-investors-1515358834. 
  151. Musil, Steven. "Apple vows new parental controls amid child addiction fears". https://www.cnet.com/news/apple-vows-new-parental-controls-amid-child-addiction-fears/. 
  152. 157.0 157.1 157.2 157.3 "Policy and Prevention Approaches for Disordered and Hazardous Gaming and Internet Use: an International Perspective". Prevention Science 19 (2): 233–249. February 2018. doi:10.1007/s11121-017-0813-1. PMID 28677089. http://irep.ntu.ac.uk/id/eprint/31235/1/PubSub8799_490a_Kuss.pdf. Retrieved 29 September 2019. 
  153. "State data to limit China child gamers" (in en-GB). BBC News. 6 September 2018. https://www.bbc.com/news/technology-45432863. 
  154. "A new notice from China's Ministry of Education, and its impact on games" (in en-US). Niko Partners. 30 August 2018. https://nikopartners.com/a-new-notice-from-chinas-ministry-of-education-and-its-impact-on-games/. 
  155. Webb, Kevin (7 November 2018). "Video game addiction has sparked a culture war in China – and it's having huge repercussions for the world's biggest video game maker" (in en). https://www.businessinsider.com/tencent-age-restrictions-identity-verification-china-video-games-2018-11. 
  156. "Chinese youth to have smartphone, internet use curbed". Economic Times. 2 August 2023. https://economictimes.indiatimes.com/news/international/world-news/chinese-youth-to-have-smartphone-internet-use-curbed/articleshow/102363377.cms. 
  157. Sen. Blumenthal, Richard [D-CT (2023-12-13). "S.1409 - 118th Congress (2023-2024): Kids Online Safety Act". https://www.congress.gov/bill/118th-congress/senate-bill/1409. 
  158. Kelley, Jason (2025-01-01). "Kids Online Safety Act Continues to Threaten Our Rights Online: 2024 in Review". https://www.eff.org/deeplinks/2024/12/kids-online-safety-act-continues-threaten-our-rights-online-year-review-2024. 
  159. "Social Media and Youth Mental Health". United States Department of Health and Human Services. May 2023. https://www.hhs.gov/sites/default/files/sg-youth-mental-health-social-media-advisory.pdf. 
  160. Proulx, Natalie (25 May 2023). "Does Social Media Harm Young People's Mental Health?". The New York Times. https://www.nytimes.com/2023/05/25/learning/does-social-media-harm-young-peoples-mental-health.html. 
  161. Paul, Kari (24 October 2024). "Meta sued by 33 states over claims youth mental health endangered by Instagram". The Guardian. https://www.theguardian.com/technology/2023/oct/24/instagram-lawsuit-meta-sued-teen-mental-health-us. 
  162. Owen Dyer (October 2023). "Meta is sued by 41 US states for driving children's addiction to social media and hiding the harms". BMJ 383: 2518. doi:10.1136/bmj.p2518. PMID 37903513. 
  163. Ritchie, Hannah (28 November 2024). "Australia approves social media ban on under-16s". BBC. https://www.bbc.co.uk/news/articles/c89vjj0lxx9o. 
  164. Yoon, June (30 November 2024). "Australia's social media ban is as big a TikTok threat as US". Financial Times. https://www.ft.com/content/88a2a616-2370-41c4-9c0d-7c1112236dc8. 
  165. "Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments". JMIR Mental Health 3 (1): e7. March 2016. doi:10.2196/mental.4984. PMID 26932350. 
  166. "Effectiveness of online mindfulness-based interventions in improving mental health: A review and meta-analysis of randomised controlled trials". Clinical Psychology Review 45: 102–114. April 2016. doi:10.1016/j.cpr.2016.03.009. PMID 27111302. 
  167. Tiitto M (2019-01-01). Therapeutic Video Games and the Simulation of Executive Function Deficits in ADHD. Theses and Dissertations--Pharmacy (Thesis). doi:10.13023/etd.2019.284.
  168. "The Lancet Commission on global mental health and sustainable development" (in en). The Lancet 392 (10157): 1553–1598. October 2018. doi:10.1016/S0140-6736(18)31612-X. PMID 30314863. Bibcode2018Lanc..392.1553P. https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)31612-X/abstract. Retrieved 17 January 2019. 
  169. "The Digital Psychiatrist: In Search of Evidence-Based Apps for Anxiety and Depression" (in en). Front Psychiatry 10 (831). 5 November 2019. doi:10.3389/fpsyt.2019.00831. PMID 31803083. 
  170. "Digital Tools Are Revolutionizing Mental Health Care in the U.S." (in en). Harvard Business Review. 3 December 2020. https://hbr.org/2020/12/digital-tools-are-revolutionizing-mental-health-care-in-the-u-s. Retrieved 28 December 2020. 
  171. Weilenmann, Alexandra; Larsson, Catrine (2002). "Local Use and Sharing of Mobile Phones". Wireless World: Social and Interactional Aspects of the Mobile Age. London: Springer. pp. 92–107. doi:10.1007/978-1-4471-0665-4_7. ISBN 978-1-4471-0665-4. https://doi.org/10.1007/978-1-4471-0665-4_7. 
  172. File, Thom (May 2013). Computer and Internet Use in the United States (Report). Current Population Survey Reports. Washington, D.C.: U.S. Census Bureau. https://www.census.gov/prod/2013pubs/p20-569.pdf. Retrieved 11 February 2020. 
  173. Tuckel, Peter; O'Neill, Harry (2005). Ownership and Usage Patterns of Cell Phones: 2000–2005 (Report). JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association. p. 4002. http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000345.pdf. Retrieved 25 September 2020. 
  174. "Demographics of Internet and Home Broadband Usage in the United States". Pew Research Center. 7 April 2021. https://www.pewresearch.org/internet/fact-sheet/internet-broadband/#who-has-home-broadband. 
  175. "Demographics of Mobile Device Ownership and Adoption in the United States". Pew Research Center. 7 April 2021. https://www.pewresearch.org/internet/fact-sheet/mobile/. 
  176. Arendt, Susan (5 March 2007). "Game Consoles in 41% of Homes". WIRED (Condé Nast). https://www.wired.com/2007/03/game-consoles-i/. 
  177. Statistical Abstract of the United States: 2008 (Report). Statistical Abstract of the United States (127 ed.). U.S. Census Bureau. 30 December 2007. p. 52. https://www2.census.gov/library/publications/2007/compendia/statab/127ed/tables/pop.pdf. Retrieved 29 June 2021. 
  178. North, Dale (14 April 2015). "155M Americans play video games, and 80% of households own a gaming device". https://venturebeat.com/2015/04/14/155-million-americans-play-video-games-and-4-out-of-5-households-own-a-gaming-device/. 
  179. 2015 Essential Facts About the Computer and Video Game Industry (Report). Essential Facts About the Computer and Video Game Industry. 2015. Entertainment Software Association. https://templatearchive.com/esa-essential-facts/. Retrieved 29 June 2021. 
  180. Lenhart, Amanda (9 April 2015). "Teens, Social Media & Technology Overview 2015". Pew Research Center. https://www.pewresearch.org/internet/2015/04/09/teens-social-media-technology-2015/. 
  181. Gottfried, Monica Anderson, Michelle Faverio and Jeffrey (2023-12-11). "Teens, Social Media and Technology 2023" (in en-US). https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/. 

Further reading

Template:Media and human factors




Licensed under CC BY-SA 3.0 | Source: https://handwiki.org/wiki/Social:Digital_media_use_and_mental_health
1 | Status: cached on May 09 2026 04:23:49
↧ Download this article as ZWI file
Encyclosphere.org EncycloReader is supported by the EncyclosphereKSF