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Problematic smartphone use

Problematic smartphone use is proposed by some researchers to be a form of psychological or behavioral dependence on cell phones, closely related to other forms of digital media overuse such as social media addiction or internet addiction disorder. Other researchers have stated that terminology relating to behavioral addictions in regards to smartphone use can cause additional problems both in research and stigmatization of users, suggesting the term to evolve to problematic smartphone use.[1] Problematic use can include preoccupation with mobile communication, excessive money or time spent on mobile phones, and use of mobile phones in socially or physically inappropriate situations such as driving an automobile. Increased use can also lead to adverse effects on relationships, mental or physical health, and ensues anxiety if separated from a mobile phone or sufficient signal. Preschool children and young adults are at highest risk for problematic smartphone use.[2]

Young adults using their mobile phones individually at a party

The use of smartphone significantly increased since the late 2000s. In 2019 conducts, global smartphone users penetrated in 41.5% of total population. Due to prolific technological advance, the smartphone overuse continued to be a major threat in Asian countries such as China, with around 700 million users are registered in 2018. Digital media overuse is tangentially linked to ocular problems, especially in young age. It has been estimated that 49.8% (4.8 billion) of global population with digital media overuse would be affected with myopia by 2050.[3]

History and terminology

It is also known as smartphone overuse, smartphone addiction, mobile phone overuse, or cell phone dependency. Founded in current research on the adverse consequences of overusing technology, "mobile phone overuse" has been proposed as a subset of forms of "digital addiction", or "digital dependence", reflecting increasing trends of compulsive behaviour amongst users of technological devices.[4] Researchers have variously termed these behaviours "smartphone addiction" and "problematic smartphone use", as well as referring to use of non-smartphone mobile devices (cell phones).[5] Forms of technology addiction have been considered as diagnoses since the mid 1990s.[6] Panova and Carbonell published a review in 2018 that specifically encouraged terminology of "problematic use" in regard to technology behaviours, rather than continuing research based on other behavioral addictions.[1]

Unrestrained use of technological devices may affect developmental, social, mental and physical well-being and result in symptoms akin to other behavioral addictions.[7] However, the Diagnostic and Statistical Manual of Mental Disorders has not formally codified smartphone overuse as a diagnosis.[8] Gaming disorder has been recognised in the International Classification of Diseases (ICD-11).[9][10] Varied, changing recommendations are in part due to the lack of well established evidence or expert consensus, the differing emphasis of the classification manuals, as well as difficulties utilising animal models for behavioral addictions.[11]

Whilst published studies have shown associations between digital media use and mental health symptoms or diagnoses, causality has not been established, with nuances and caveats of researchers often misunderstood by the general public, or misrepresented by the media.[12] A systematic review of reviews published in 2019 concluded that evidence, although of mainly low to moderate quality, showed an association of screen time with poorer psychological health including symptoms such as inattention, hyperactivity, low self esteem, and behavioral issues in childhood and adolescence.[13] Several studies have shown that females are more likely to overuse social media, and males video games.[14][15] This has led experts to suggest that digital media overuse may not be a unified phenomenon, with some calling to delineate proposed disorders based on individual online activity.[14]

Due to the lack of recognition and consensus on the concepts, diagnoses and treatments are difficult to standardise or recommend, especially considering that "new media has been subject to such moral panic."[16]

Prevalence

 
People using mobile phones

International estimates of the prevalence of forms of technology overuse have varied considerably, with marked variations by nation[17][18] and increases over time.[19]

Prevalence of mobile phone overuse depends largely on definition and thus the scales used to quantify a subject's behaviors. Two main scales are in use, the 20-item self-reported Problematic Use of Mobile Phones (PUMP) scale,[20] and the Mobile Phone Problem Use Scale (MPPUS), which have been used both with adult and adolescent populations. There are variations in the age, gender, and percentage of the population affected problematically according to the scales and definitions used. The prevalence among British adolescents aged 11–14 was 10%.[21] In India, addiction is stated at 39-44% for this age group.[22] Under different diagnostic criteria, the estimated prevalence ranges from 0 to 38%, with self-attribution of mobile phone addiction exceeding the prevalence estimated in the studies themselves.[23] The prevalence of the related problem of Internet addiction was 4.9-10.7% in Korea, and is now regarded as a serious public health issue.[24] A questionnaire survey in Korea also found that these teenagers are twice as likely to admit that they are "mobile phone addicted" as adults. For most teenagers, smartphone communication is what they think is an important way to maintain social relationships and has become an important part of their lives.[25] Additional scales used to measure smartphone addictions are the Korean Scale for Internet Addiction for adolescents (K-scale), the Smartphone Addiction Scale (SAS-SV), and the Smartphone Addiction Proneness Scale (SAPS). These implicit tests were validated as means of measuring smartphone and internet addiction in children and adolescents in a study conducted by Daeyoung Roh, Soo-Young Bhang, Jung-Seok Choi, Yong Sil Kweon, Sang-Kyu Lee and Marc N. Potenza.[26]

Behaviors associated with mobile-phone addiction differ between genders.[27][28] Older people are less likely to develop addictive mobile phone behavior because of different social usage, stress, and greater self-regulation.[29] At the same time, the study by media regulator Ofcom has shown that 50% of 10-year-olds in the UK owned a smartphone in 2019.[30] These children who grow with gadgets in their hands are more prone to mobile phone addiction, since their online and offline worlds merge into a single whole.

Effects

 
In some schools, a mobile phone cage is used to prevent students from using smartphones in the classroom during lessons.

Overuse of mobile phones may be associated with negative outcomes on mental and physical health, in addition to having an impact on how users interact socially.[31][32]

Social

Some people are replacing face-to-face conversations with cyber ones. Clinical psychologist Lisa Merlo says, "Some patients pretend to talk on the phone or fiddle with apps to avoid eye contact or other interactions at a party."[33] Furthermore,

  • 70% check their phones in the morning within an hour of getting up.
  • 56% check their phones before going to bed.
  • 48% check their phones over the weekend.
  • 51% constantly check their phones during vacation.
  • 44% reported they would feel very anxious and irritable if they did not interact with their phones within a week.[34]

This change in style from face-to-face to text-based conversation has also been observed by Sherry Turkle. Her work cites connectivity as an important trigger of social behavior change regarding communication;[32] therefore, this adaptation of communicating is not caused only by the phone itself. In her book, Alone Together: Why We Expect More from Technology and Less from Each Other, Turkle argues that people now find themselves in a state of "continual co-presence."[35] This means that digital communication allows the occurrence of two or more realities in the same place and time. Subsequently, person also live in a "world of continual partial attention,"[35] the process of paying simultaneous attention to a number of sources of incoming information, but at a superficial level. Bombarded with an abundance of emails, texts, messages, people not only find themselves divesting people of their human characteristics or individuality, but also increasingly treating them as digital units. This is often referred to as depersonalization.[36]

According to Elliot Berkman, a psychology professor at the University of Oregon, the constant checking of phones is caused by reward learning and the fear of missing out. Berkman explains that, “Habits are a product of reinforcement learning, one of our brain's most ancient and reliable systems,” and people tend, thus, to develop habits of completing behaviors that have rewarded them in the past.[37] For many, using mobile phone has been enjoyable in the past, leading to feel excited and positive when receive a notification from phones. Berkman also iterates that people often check their smartphones to relieve the social pressure they place upon themselves to never miss out on exciting things. As Berkman says, "Smartphones can be an escape from boredom because they are a window into many worlds other than the one right in front of you, helping us feel included and involved in society."[37] When people do not check their mobile phones, they are unable to satisfy this “check habit” or suppress the fear of missing out, leading to feel anxious and irritable. A survey conducted by Hejab M. Al Fawareh and Shaidah Jusoh also found that people also often feel incomplete without their smartphones. Of the 66 respondents, 61.41% strongly agreed or agreed with the statement, “I feel incomplete when my smartphone is not with me.”[38]

Other implications of cell phone use in mental health symptoms were observed by Thomée et al. in Sweden. This study found a relationship between report of mental health and perceived stress of participants' accessibility, which is defined as the possibility to be disturbed at any moment of day or night.[31]

Critics of smartphones have especially raised concerns about effects on youth.[39] The presence of smartphones in everyday life may affect social interactions amongst teenagers. Present evidence shows that smartphones are not only decreasing face-to-face social interactions between teenagers, but are also making the youth less likely to talk to adults.[40] In a study produced by Doctor Lelia Green at Edith Cowan University, researchers discovered that, “the growing use of mobile technologies implies a progressive digital colonization of children’s lives, reshaping the interactions of younger adults.” Face-to-face interactions have decreased because of the increase in shared interactions via social media, mobile video sharing, and digital instant messaging. Critics believe the primary concern in this shift is that the youth are inhibiting themselves of constructive social interactions and emotional practices.[41] Engaging in a strictly digital world may isolate individuals, causing lack of social and emotional development.

Other studies show that there is actually a positive social aspect from smartphone use. A study on whether smartphone presence changed responses to social stress conducted an experiment with 148 males and females around the age of 20.[42] Participants were split up into 3 groups where 1) phone was present and use was encouraged, 2) phone was present with use restricted, and 3) no phone access. They were exposed to a peer, social-exclusion stressor, and saliva samples measuring levels of alpha-amylase (sAA), or stressor hormones, were measured throughout. The results showed that both of the phone-present groups had lower levels of SAA and cortisol than the group without a phone, thus suggesting that the presence of a smartphone, even if it's not being used, can decrease the negative effects of social exclusion.[42]

Health

Research from the London School of Hygiene & Tropical Medicine at Queen Mary in 2011 indicated that one in six cell phones is contaminated with fecal matter. Under further inspection, some of the phones with the fecal matter were also harboring lethal bacteria such as E. coli, which can result in fever, vomiting, and diarrhea.[43]

According to the article Mobile Phones and Nosocomial Infections, written by researchers at Mansoura University of Egypt, it states that the risk of transmitting the bacteria by the medical staff (who carry their cellphones during their shift) is much higher because cellphones act as a reservoir where the bacteria can thrive.[44][45]

Despite the International Agency for Research on Cancer of the World Health Organization stating in 2011 that radio frequency is a possible human carcinogen, based on heavy usage increasing the risk of developing glioma tumors.[46], no relationship has been established. In fact, there is no definitive evidence linking cancer and phone use, nor any accepted scientific explanation for how phone usage could cause cancer.[47] Despite this, research is continuing based on leads from changing patterns of mobile phone use over time and habits of phone users,[48] and there been claims that low-level radio frequency radiation promotes tumors in mice.[49]

Studies show that some users associate mobile phone usage with headaches, impaired memory and concentration, fatigue, dizziness and disturbed sleep.[50] Claims that users have developed electrosensitivity from excessive exposure to electromagnetic fields are likely psychological in origin due to the nocebo effect.[51][52] Minor acute immediate effects of radio frequency exposure have long been known such as the Microwave auditory effect which was discovered in 1962.[53]

A study by scientists from the Karolinska Institute and Uppsala University in Sweden and from Wayne State University in Michigan founded that using a cell phone before bed can cause insomnia. The study[54] showed that this is due to the radiation received by the user as stated, "The study indicates that during laboratory exposure to 884 MHz wireless signals, components of sleep believed to be important for recovery from daily wear and tear are adversely affected." Additional adverse health effects attributable to smartphone usage include a diminished quantity and quality of sleep due to an inhibited secretion of melatonin.[55]Adolescents who spent time online before bedtime had higher rates of Internet addiction and insomnia than those who did not spend time online before bedtime.[56]

In 2014, 58% of World Health Organization states advised the general population to reduce radio frequency exposure below heating guidelines. The most common advice is to use hands-free kits (69%), to reduce call time (44%), use text messaging (36%), avoid calling with low signals (24%) or use phones with low specific absorption rate (SAR) (22%).[57] In 2015 Taiwan banned toddlers under the age of two from using mobile phones or any similar electronic devices, and France banned Wi-Fi from toddlers' nurseries.[58]

As the market increases to grow, more light is being shed upon the accompanying behavioral health issues and how mobile phones can be problematic. Mobile phones continue to become increasingly multifunctional and sophisticated, which this in turn worsens the problem.[59]

According to optician Andy Hepworth, blue violet light, a light that is transmitted from the cell phone into the eye is potentially hazardous and can be "toxic" to the back of the eye. He states that an over exposure to blue violet light can lead to a greater risk of macular degeneration which is a leading cause of blindness.[60]

Psychological

There are concerns that some mobile phone users incur considerable debt, and that mobile phones are being used to violate privacy and harass others.[61] In particular, there is increasing evidence that mobile phones are being used as a tool by children to bully other children.[62]

There is a large amount of research on mobile phone use, and its positive and negative influence on the human's psychological mind, mental health and social communication. Mobile phone users may encounter stress, sleep disturbances and symptoms of depression, especially young adults.[63] Consistent phone use can cause a chain reaction, affecting one aspect of a user's life and expanding to contaminate the rest. It usually starts with social disorders, which can lead to depression and stress and ultimately affect lifestyle habits such as sleeping right and eating right.[31]

According to research done by Professor of psychology at San Diego State University Jean M. Twenge, there is a correlation between mobile phone overuse and depression. In the wake of smartphone being evolved, Twenge and her colleagues stated that there was also an increase seen in depressive symptoms and even suicides among adolescents in 2010.[63] The theory behind this research is that adolescents who are being raised as a generation of avid smartphone users are spending so much time on these devices that they forgo actual human interaction which is seen as essential to mental health, "The more time teens spend looking at screens, the more likely they are to report symptoms of depression."[64] While children used to spend their free time outdoors with others, with the advancement of technology, this free time is seemingly now being spent more on mobile devices.

In this research, Twenge also discusses that, three out of four American teens owned an iPhone and with this rates of teen depression and suicide have skyrocketed since 2011 which follows the release of the iPhone in 2007 and the iPad in 2010.[41] Another focus is that teens now spend the majority of their leisure time on their phones. This leisure time can be seen as detrimental which can be seen through eighth-graders who spend 10 or more hours a week on social media are 56% more likely to be unhappy than those who devote less time to social media.[41]

Psychologist Nancy Colier has argued that people have lost sight of what is truly important to them in life. She says that people have become "disconnected from what really matters, from what makes us feel nourished and grounded as human beings."[65] People's addiction to technology has deterred neurological and relationship development because tech is being introduced to people at a very young age. People have become so addicted to their phones that they are almost dependent on them. Humans are not meant to be constantly staring at a screen as time is needed to relax their eyes and more importantly their minds. Colier states: "Without open spaces and downtime, the nervous system never shuts down—it's in constant fight-or-flight mode. We're wired and tired all the time. Even computers reboot, but we’re not doing it."[65]

The amount of time spent on screens appears to have a correlation with happiness levels. A nationally representative study of American 12th graders funded by the National Institute on Drug Abuse titled Monitoring the Future Survey found that “teens who spent more time than average on screen activities are more likely to be unhappy, and those who spend more time than average on non-screen activities are more likely to be happy. One of the most important findings of this study is how the amount of time spent on non screen activities versus on screen activities affects the happiness levels of teenagers.[63]

However, while it is easy to see a correlation between cell phone overuse and these symptoms of depression, anxiety, and isolation, it is much harder to prove that cell phones themselves cause these issues. Studies of correlations cannot prove causation because there are multiple other factors that increase depression in people today. According to psychologist Peter Etchells, although parents and other figures share these concerns other possible variables must be reviewed as well. Etchells proposes two possible alternative theories: depression could cause teens to use iPhones more or teens could be more open to discussing the topic of depression in this day and age.[66]

A survey done by a group of independent opticians reviled that 43% of people under the age of 25 experienced anxiety or even irritation when they were not able to access their phone whenever they wanted.[60] This survey shows the psychological effect that cell phones have on people, specifically young people.

Smartphone dependence is also associated with increased number of phantom phone signals, as in Phantom vibration syndrome.[67]

Neural

There has been considerable speculation about the impact problematic mobile usage may have on cognitive development and how such habits could be ‘rewiring’ the brains of those highly engaged with their mobiles. Research has shown that the reward areas of the brains of those who use their phones more exhibit different structural connectivity than those who use their phones less.[68] Further findings have linked digital media behaviors to the brain's self-regulatory control structures, suggesting that variation in individuals' ability to control behavioral impulses might also be a key psychological pathway connecting mobile technology habits to the brain.[69]

Distracted driving

Research has found that there is a direct relationship between mobile phone overuse and mobile phone use while driving.[70] Mobile phone overuse can be especially dangerous in certain situations such as texting/browsing and driving or talking on the phone while driving.[71][72][73] Over 8 people are killed and 1,161 are injured daily because of distracted driving.[74] At any given daylight moment across U.S., approximately 660,000 drivers are using cell phones or electronic devices while driving.[74] The significant number of injuries and accidents from distracted driving can be contributed at least partially to mobile phone overuse. However, many cell phone-related crashes are not reported due to drivers' reluctance to admit texting or talking behind the wheel.[75] There is currently no national ban on texting while driving, but many states have implemented laws to try to prevent these accidents.[74]

Sixteen states as well as Washington D.C., Puerto Rico, and the U.S. Virgin Islands passed laws prohibiting the use of hand-held devices while driving. Texting and driving is banned in most of the country; new drivers in 38 states and DC are not permitted to use cell phones behind the wheel. According to the National Highway Traffic Safety Administration, or NHTSA (which promotes safe driving through research and education), drivers between the ages of 16 and 24 were most distracted, with women at greater risk of dying in a crash. About 20,000 of motor vehicle fatalities between 2012 and 2017 were related to distracted driving.

In the UK, the only way to currently use a mobile phone lawfully whilst driving is using a hands-free system. Any other type of phone use whilst in control of a vehicle, whether stationary or moving, carries a fine of £1, 000 and 6 penalty points. This can be increased for serious misuse. 1 in 5 of UK residents admit to checking social media whilst being behind the wheel.[76] It's interesting to note that in the UK, it is also illegal for someone accompanying a learner driver to use their mobile phone whilst driving. As an instructor, they are classed as in control of the vehicle, even if they are not a professional instructor.

A text can take one's eyes off the road for an average of five seconds. Although brief, one driving at 55 mph can travel the length of a football field in that time. Approximately three percent of drivers are talking on the phone when stopped at an intersection. Furthermore, five percent of drivers are on the phone at any given time. The Insurance Institute of Highway Safety (IIHS) reported those who used cell phones more often tended to brake harder, drive faster, and change lanes more frequently, predisposing them to crashes and near-crashes. They are also two to six times more likely to get into an accident.

Research indicates driver performance is adversely affected by concurrent cell phone use, delaying reaction time and increasing lane deviations and length of time with eyes off the road. It can also cause "inattention blindness," in which drivers see but do not register what is in front of them.

Teen drivers are especially at risk. About 1.2 million and 341,000 crashes in 2013 involved talking and texting, respectively. Distractions such as music, games, GPS, social media, etc., are potentially deadly when combined with inexperience. The dangers of driving and multitasking continue to rise as more technology is integrated into cars. Teens who texted more frequently were less likely to wear a seat belt and more likely to drive intoxicated or ride with a drunk driver. Cell phone use can reduce brain activity as much as 37%, affecting young drivers' abilities to control their vehicles, pay attention to the roadway, and respond promptly to traffic events.

Tools to prevent or treat mobile phone overuse

The following tools or interventions can be used to prevent or treat mobile phone overuse.

Behavioral

Many studies have found relationships between psychological or mental health issues and smartphone addiction.[77][78][79][80] Hence, behavioral interventions such as individual or family psychotherapy for these issues may help. In fact, studies have found that psychotherapeutic approaches such as cognitive behavioral therapy and motivational interviewing are able to successfully treat internet addiction and may be useful for mobile phone overuse.[81][82] Further, support groups and family therapy may also help prevent and treat internet and smartphone addiction.[83]

Complete abstinence from mobile phone use or abstinence from certain apps can also help treat mobile phone overuse.[83][84] Other behavioral interventions include practicing the opposite (e.g. disrupt their normal routine and re-adapt to new time patterns of use), goal-setting, reminder cards (e.g. listing 5 problems resulting from mobile phone overuse and 5 benefits of limiting overuse), and creating a personal inventory of alternative activities (e.g. exercise, music, art).[81][83]

In 2019 the World Health Organization issued recommendations about active lifestyle, sleep and screen time for children at age 0–5. The recommendations are:

For children in age less than one year: 30 minute physical activity, 0 hours screen time and 14 – 17 hours of sleep time per day.

For children in age 1 year: 180 minutes physical activity, 0 hours screen time, 11–14 hours of sleep time per day.

For children in age 2 year: 180 minutes physical activity, 1 hour screen time, 11–14 hours of sleep time per day.

For 3-4-year-old children: 180 minutes physical activity, 1 hour screen time, 10–13 hours of sleep time per day.[85]

Phone settings

Many smartphone addiction activists (such as Tristan Harris) recommend turning one's phone screen to grayscale mode, which helps reduce time spent on mobile phones by making them boring to look at.[86] Other phone settings alterations for mobile phone non-use included turning on airplane mode, turning off cellular data and/or Wi-Fi, turning off the phone, removing specific apps, and factory resetting.[87]

Phone apps

German psychotherapist and online addiction expert Bert te Wildt recommends using apps such as Offtime and Menthal to help prevent mobile phone overuse.[88] In fact, there are many apps available on Android and iOS stores which help track mobile usage. For example, in iOS 12 Apple added a function called "Screen Time" that allows users to see how much time they have spent on the phone. In Android a similar feature called "digital wellbeing" has been implemented to keep track of cell phone usage.[89] These apps usually work by doing one of two things: increasing awareness by sending user usage summaries, or notifying the user when he/she has exceeded some user-defined time-limit for each app or app category.

Research-based

Studying and developing interventions for temporary mobile phone non-use is a growing area of research. Hiniker et al. generated 100 different design ideas for mobile phone non-use belonging to eight organic categories: information (i.e. agnostically providing information to the user about his or her behavior), reward (i.e. rewarding the user for engaging in behaviors that are consistent with his or her self-defined goals), punishment (i.e. punishing the user for engaging in behaviors that are inconsistent with his or her self-defined goals), disruption (i.e. a temporary barrier momentarily prevents the user from engaging in a specific behavior), limit (i.e. certain behaviors are time or context-bound or otherwise constrained within defined parameters), mindfulness (i.e. the user is asked to reflect on his or her choices, before, during or after making them), appeal to values (i.e. reminding the user about the underlying values that shaped his or her decisions about de- sired use and non-use), social support (i.e. opportunities for including other individuals into the intervention).

Users found interventions related to information, limit, and mindfulness to be the most useful. The researchers implement an Android app that combined these three intervention types and found that users reduced their time with the apps they feel are a poor use of time by 21% while their use of the apps they feel are a good use of time remained unchanged.[90]

AppDetox allows users to define rules that limit their usage of specific apps.[91] PreventDark detects and prevents problematic usage of smartphones in the dark.[92] Using vibrations instead of notifications to limit app usage has also been found to be effective.[93] Further, researchers have found group-based interventions that rely on users sharing their limiting behaviors with others to be effective.[94]

Bans on mobile phone use

In some places in the world the use of mobile phones was banned in classes during instructional time, for example, in France, Ontario. Research says it improves the performance of students.[95][96]

Psychological symptoms of phone usage

The psychological symptoms that people who are addicted to smartphones possession are depression, social isolation, low self-esteem and anxiety.[97] Three types of disorders classified as follows: (1) Depression is a medical illness that adversely influences people in emotion, imagination, and action. It is the common word related to the mental problem accredited by clinical psychologists. It is the symptom that people possess a lot offline, however, the number of people gets in online these days. (2) Social isolation—the lack of interaction between individuals and society. If the communications are just done by the message on the phone, the conversation with face-to-face would no longer happen and the offline real-life friends would not be made or resisted anymore. People may think they are happy and satisfying their life, however, only online. Therefore, they would end up people feeling lonely and isolated from the world when they are in real life. (3) low self-esteem and anxiety are a lack of confidence and feeling negative about oneself. People check the reaction to their posts and care about likes, comments, and other's post, which decreases self-esteem. These connect to anxiety; caring other's reaction to show off themselves, checking phone frequently with no reason.[98] It has been acknowledged that problematic smartphone use affects quality of life (QOL) parameters. For example, it was found that the user awareness mode while using the device affects the QOL parameters in various ways.[99]

Depression

 

Depressive symptoms, in particular, are some of the most serious psychological problems in adolescents; the relationship between depressive symptoms and mobile phone addiction is a critical issue because such symptoms may lead to substance abuse, school failure, and even suicide.[100][101] Depression caused by phone addiction can result in failure of the entire life. For example, if the person is diagnosed with depression, they start to compare themselves with others. A person would curse other beings if everyone expected him/her to be in good fortune and well-being. Furthermore, the person may remind him/her failure of everything, convincing not to succeed at all costs.

Isolation

The increase of mobile phone addiction levels would increase user's social isolation from a decrease of face-to-face social interactions, then users would face much more interpersonal problems.[100] The phone stops the conversation and interaction between humans. The process of smartphone overuse may negatively affects social support and undermines user's psychological health. Some indirect evidence also exist. For example, Lemmens, Valkenburg, and Peter (2011) founded that behavioral addiction (i.e. gambling) with mobile phone overuse may leads to loneliness, causing conflict with family or friends, and potentially reducing social support.[102]

Low self-esteem and anxiety

The other psychological symptoms that are caused by phone addiction are self-esteem and anxiety. Today, Social Network Service (SNS) is one of the main streams in the world, therefore it dissolved a lot in daily life too. Studies with teens have consistently shown that there are significant relationships between high extroversion, high anxiety, low self-esteem, and mobile phone usage. The stronger the young person's mobile phone addiction, the more likely that individual is to have high mobile phone call time, receive excessive calls, and receive excessive text messages.[100]

Anxious people more easily perceive certain normal life matters as pressure. To reduce this stress might result in even more addictive behaviors and females are more likely to use mobile phones to maintain social relations.[100]

Moreover, online, under the name anonymous, people utilize it in bad ways like the cyberbully or spread rumors. People also force their opinions and post bad comments that might hurt others too. All of these examples would result in people by having a symptom of anxiety and low self-esteem that connects to depression.

See also

References

  1. ^ a b Panova, Tayana; Carbonell, Xavier (June 2018). "Is smartphone addiction really an addiction?". Journal of Behavioral Addictions. 7 (2): 252–259. doi:10.1556/2006.7.2018.49. ISSN 2062-5871. PMC 6174603. PMID 29895183.
  2. ^ Csibi, Sándor; Griffiths, Mark D.; Demetrovics, Zsolt; Szabo, Attila (1 June 2021). "Analysis of Problematic Smartphone Use Across Different Age Groups within the 'Components Model of Addiction'". International Journal of Mental Health and Addiction. 19 (3): 616–631. doi:10.1007/s11469-019-00095-0. ISSN 1557-1882. S2CID 162184024.
  3. ^ Wang, Jian; Li, Mei; Zhu, Daqiao; Cao, Yang (8 December 2020). "Smartphone Overuse and Visual Impairment in Children and Young Adults: Systematic Review and Meta-Analysis". Journal of Medical Internet Research. 22 (12): e21923. doi:10.2196/21923. PMC 7755532. PMID 33289673.
  4. ^ Rubio, Gabriel; Rodríguez de Fonseca, Fernando; De-Sola Gutiérrez, José (2016). "Cell-Phone Addiction: A Review". Frontiers in Psychiatry. 7: 175. doi:10.3389/fpsyt.2016.00175. ISSN 1664-0640. PMC 5076301. PMID 27822187.
  5. ^ Elhai, Jon D.; Dvorak, Robert D.; Levine, Jason C.; Hall, Brian J. (January 2017). "Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology". Journal of Affective Disorders. 207: 251–259. doi:10.1016/j.jad.2016.08.030. PMID 27736736. S2CID 205642153.
  6. ^ 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, New York. ISBN 978-0471191599. OCLC 38130573.
  7. ^ Chamberlain, Samuel R.; Grant, Jon E. (August 2016). "Expanding the definition of addiction: DSM-5 vs. ICD-11". CNS Spectrums. 21 (4): 300–303. doi:10.1017/S1092852916000183. ISSN 2165-6509. PMC 5328289. PMID 27151528.
  8. ^ "Internet Gaming". www.psychiatry.org. Retrieved 10 May 2019.
  9. ^ "Gaming disorder". Gaming disorder. World Health Organization. 1 September 2018. Retrieved 10 May 2019.
  10. ^ "ICD-11 - Mortality and Morbidity Statistics". icd.who.int. Retrieved 11 May 2019.
  11. ^ Grant, Jon E.; Chamberlain, Samuel R. (1 August 2016). "Expanding the definition of addiction: DSM-5 vs. ICD-11". CNS Spectrums. 21 (4): 300–303. doi:10.1017/S1092852916000183. ISSN 1092-8529. PMC 5328289. PMID 27151528.
  12. ^ Kardefelt-Winther, Daniel (1 February 2017). "How does the time children spend using digital technology impact their mental well-being, social relationships and physical activity? - An evidence-focused literature review" (PDF). UNICEF Office of Research - Innocenti. Retrieved 12 May 2019.
  13. ^ Viner, Russell M.; Stiglic, Neza (1 January 2019). "Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews". BMJ Open. 9 (1): e023191. doi:10.1136/bmjopen-2018-023191. ISSN 2044-6055. PMC 6326346. PMID 30606703.
  14. ^ a b Hawi, Nazir; Samaha, Maya (30 August 2019). "Identifying commonalities and differences in personality characteristics of Internet and social media addiction profiles: traits, self-esteem, and self-construal". Behaviour & Information Technology. 38 (2): 110–119. doi:10.1080/0144929X.2018.1515984. ISSN 0144-929X. S2CID 59523874.
  15. ^ Griffiths, Mark D.; Kuss, Daria J. (17 March 2017). "Social Networking Sites and Addiction: Ten Lessons Learned". International Journal of Environmental Research and Public Health. 14 (3): 311. doi:10.3390/ijerph14030311. PMC 5369147. PMID 28304359.
  16. ^ Ryding, Francesca C.; Kaye, Linda K. (2018). ""Internet Addiction": a Conceptual Minefield". International Journal of Mental Health and Addiction. 16 (1): 225–232. doi:10.1007/s11469-017-9811-6. ISSN 1557-1874. PMC 5814538. PMID 29491771.
  17. ^ De-Sola Gutiérrez, José; Rodríguez de Fonseca, Fernando; Rubio, Gabriel (24 October 2016). "Cell-Phone Addiction: A Review". Frontiers in Psychiatry. 7: 175. doi:10.3389/fpsyt.2016.00175. PMC 5076301. PMID 27822187.
  18. ^ Cheng, Cecilia; Li, Angel Yee-lam (1 December 2014). "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. doi:10.1089/cyber.2014.0317. ISSN 2152-2715. PMC 4267764. PMID 25489876.
  19. ^ Olson, Jay A.; Sandra, Dasha A.; Colucci, Élissa S.; Al Bikaii, Alain; Chmoulevitch, Denis; Nahas, Johnny; Raz, Amir; Veissière, Samuel P. L. (1 April 2022). "Smartphone addiction is increasing across the world: A meta-analysis of 24 countries". Computers in Human Behavior. 129: 107138. doi:10.1016/j.chb.2021.107138. ISSN 0747-5632. S2CID 245159672.
  20. ^ Merlo LJ, Stone AM, Bibbey A (2013). "Measuring Problematic Mobile Phone Use: Development and Preliminary Psychometric Properties of the PUMP Scale". J Addict. 2013: 1–7. doi:10.1155/2013/912807. PMC 4008508. PMID 24826371.
  21. ^ Lopez-Fernandez O, Honrubia-Serrano L, Freixa-Blanxart M, Gibson W (2014). "Prevalence of problematic mobile phone use in British adolescents" (PDF). Cyberpsychology, Behavior, and Social Networking. 17 (2): 91–98. doi:10.1089/cyber.2012.0260. hdl:2445/53130. PMID 23981147.
  22. ^ Davey S, Davey A (2014). "Assessment of Smartphone Addiction in Indian Adolescents: A Mixed Method Study by Systematic-review and Meta-analysis Approach". J Prev Med. 5 (12): 1500–1511. PMC 4336980. PMID 25709785.
  23. ^ Pedrero Pérez EJ, Rodríguez Monje MT, Ruiz Sánchez De León JM (2012). "Mobile phone abuse or addiction. A review of the literature". Adicciones. 24 (2): 139–152. PMID 22648317.
  24. ^ Koo HJ, Kwon JH (2014). "Risk and protective factors of internet addiction: a meta-analysis of empirical studies in Korea". Yonsei Med J. 55 (6): 1691–1711. doi:10.3349/ymj.2014.55.6.1691. PMC 4205713. PMID 25323910.
  25. ^ Kim, Dongil; Lee, Yunhee; Lee, Juyoung; Nam, JeeEun Karin; Chung, Yeoju (21 May 2014). "Development of Korean Smartphone Addiction Proneness Scale for Youth". PLOS ONE. 9 (5): e97920. Bibcode:2014PLoSO...997920K. doi:10.1371/journal.pone.0097920. ISSN 1932-6203. PMC 4029762. PMID 24848006.
  26. ^ Roh, Daeyoung, et al. “The Validation of Implicit Association Test Measures for Smartphone and Internet Addiction in at-Risk Children and Adolescents.” Journal of Behavioral Addictions, vol. 7, no. 1, 2018, pp.79–87, https://go-gale-com.ezproxy2.library.drexel.edu/ps/i.do?p=AONE&u=drexel_main&id=GALE%7CA534488412&v=2.1&it=r&sid=summon.
  27. ^ Roberts JA, Yaya LH, Manolis C (2014). "The invisible addiction: cell-phone activities and addiction among male and female college students". Journal of Behavioral Addictions. 3 (4): 254–265. doi:10.1556/JBA.3.2014.015. PMC 4291831. PMID 25595966.
  28. ^ Ioannidis, Konstantinos; Treder, Matthias S.; Chamberlain, Samuel R.; Kiraly, Franz; Redden, Sarah A.; Stein, Dan J.; Lochner, Christine; Grant, Jon E. (1 June 2018). "Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey". Addictive Behaviors. 81: 157–166. doi:10.1016/j.addbeh.2018.02.017. ISSN 0306-4603. PMC 5849299. PMID 29459201.
  29. ^ van Deursen AJAM; Bolle CL; Hegner SM; Kommers PAM (2015). "Modeling habitual and addictive smartphone behaviour: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender". Computers in Human Behavior. 45: 411–420. doi:10.1016/j.chb.2014.12.039.
  30. ^ "Half of UK 10-year-olds own a smartphone". BBC News. 4 February 2020.
  31. ^ a b c Thomée, Sara; Härenstam, Annika; Hagberg, Mats (2011). "Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study". BMC Public Health. 11 (1): 66. doi:10.1186/1471-2458-11-66. PMC 3042390. PMID 21281471.
  32. ^ a b Turkle, Sherry (2011). Alone Together: Why We Expect More from Technology and Less from each Other. New York: Basic Books. p. 241. ISBN 9780465010219.
  33. ^ Gibson, E. (27 July 2011). Smartphone dependency: a growing obsession with gadgets. Retrieved 27 September 2013 from USA Today website: http://usatoday30.usatoday.com/news/health/medical/health/medical/mentalhealth/story/2011/07/Smartphone-dependency-a-growing-obsession-to-gadgets/49661286/1  
  34. ^ Perlow, Leslie A. (2012). Sleeping with your smartphone : how to break the 24/7 habit and change the way you work. Boston: Harvard Business Review Press. ISBN 9781422144046.[page needed]
  35. ^ a b Turkle, Sherry (2011). Alone Together: Why We Expect More from Technology and Less from Each Other. New York: Basic Books. pp. 161. ISBN 9780465010219.
  36. ^ "the definition of depersonalize". Dictionary.com. Retrieved 6 December 2017.
  37. ^ a b Baral, Susmita (4 January 2017). "How to Break the Habit of Checking your Phone all the Time". Mic. Retrieved 30 May 2018.
  38. ^ Al Fawareh, Hejab M. (6 November 2017). "The Use and Effects of Smartphones in Higher Education". International Journal of Interactive Mobile Technologies. 11 (6): 103–111. doi:10.3991/ijim.v11i6.7453.
  39. ^ Gardner, Howard; Davis, Katie (22 October 2013). The App Generation: How Today's Youth Navigate Identity, Intimacy, and Imagination in a Digital World. Yale University Press. ISBN 978-0-300-19621-4.
  40. ^ Chan, Nee Nee; Walker, Caroline; Gleaves, Alan (1 March 2015). "An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach" (PDF). Computers & Education. 82: 96–106. doi:10.1016/j.compedu.2014.11.001. ISSN 0360-1315.
  41. ^ a b c Twenge, Story by Jean M. "Have Smartphones Destroyed a Generation?". The Atlantic. ISSN 1072-7825. Retrieved 2 March 2020.
  42. ^ a b Hunter, John F.; Hooker, Emily D.; Rohleder, Nicolas; Pressman, Sarah D. (May 2018). "The Use of Smartphones as a Digital Security Blanket: The Influence of Phone Use and Availability on Psychological and Physiological Responses to Social Exclusion". Psychosomatic Medicine. 80 (4): 345–352. doi:10.1097/PSY.0000000000000568. ISSN 0033-3174. PMID 29521885. S2CID 3784504.
  43. ^ Britt, Darice (June 2013). "Health Risks of Using Mobile Phones". South Carolina University. Retrieved 15 April 2014.
  44. ^ Badr, Rawia Ibrahim; Badr, Hatem Ibrahim; Ali, Nabil Mansour (2012). "Mobile phones and nosocomial infections". International Journal of Infection Control. 8 (2). doi:10.3396/ijic.v8i2.014.12. Retrieved 21 April 2015.
  45. ^ Badr, Rawia Ibrahim; Badr, Hatem ibrahim; Ali, Nabil Mansour (26 March 2012). "Mobile phones and nosocomial infections". International Journal of Infection Control. 8 (2). doi:10.3396/ijic.v8i2.014.12.
  46. ^ World Health Organization: International Agency for Research on Cancer (2011). "IARC Classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans" (PDF). Press Release No. 208.
  47. ^ "Do mobile phones, 4G or 5G cause cancer?". 20 December 2019.
  48. ^ Sinhna, Kounteya (18 May 2010). "Cell overuse can cause brain cancer". The Times of India. Retrieved 15 April 2014.
  49. ^ Lerchl A, Klose M, Grote K, Wilhelm AF, Spathmann O, Fiedler T, Streckert J, Hansen V, Clemens M (April 2015). "Tumor promotion by exposure to radiofrequency electromagnetic fields below exposure limits for humans". Biochem Biophys Res Commun. 459 (4): 585–90. doi:10.1016/j.bbrc.2015.02.151. PMID 25749340.
  50. ^ Al-Khlaiwi T, Meo SA (2004). "Association of mobile phone radiation with fatigue, headache, dizziness, tension and sleep disturbance in Saudi population". Saudi Med. J. 25 (6): 732–736. PMID 15195201.
  51. ^ Carpenter DO (2014). "Excessive Exposure to Radiofrequency Electromagnetic Fields May Cause the Development of Electrohypersensitivity". Altern Ther Health Med. 20 (6): 40–42. PMID 25478802.
  52. ^ Rubin, G. James; Hahn, Gareth; Everitt, Brian S.; Cleare, Anthony J.; Wessely, Simon (13 April 2006). "Are some people sensitive to mobile phone signals? Within participants double blind randomised provocation study". BMJ. 332 (7546): 886–891. doi:10.1136/bmj.38765.519850.55. PMC 1440612. PMID 16520326.
  53. ^ Frey AH (1962). "Human auditory system response to modulated electromagnetic energy". J Appl Physiol. 17 (4): 689–692. doi:10.1152/jappl.1962.17.4.689. PMID 13895081. S2CID 12359057.
  54. ^ Arnetz, Bengt B.; Hillert, Lena; Åkerstedt, Torbjörn; Lowden, Arne; Kuster, Niels; Ebert, Sven; Boutry, Clementine; Moffat, Scott D.; Berg, Mats; Wiholm, Clairy. Effects from 884 MHz mobile phone radiofrequency on brain electrophysiology, sleep, cognition, and well-being, Referierte Publikationen, Chicago, 2008.  
  55. ^ Janssen, D. (22 January 2016). "Smartphone-induced sleep deprivation and its implications for public health". Europeanpublichealth.com. Retrieved 29 January 2016.
  56. ^ Evli, Mahmut; Şimşek, Nuray; Işıkgöz, Mahmut; Öztürk, Halil İbrahim (2022). "Internet addiction, insomnia, and violence tendency in adolescents". International Journal of Social Psychiatry: 002076402210909. doi:10.1177/00207640221090964. ISSN 0020-7640. PMID 35470724. S2CID 248390830.
  57. ^ Dhungel A, Zmirou-Navier D, van Deventer E (2015). "Risk management policies and practices regarding radio frequency electromagnetic fields: results from a WHO survey". Radiat Prot Dosimetry. 164 (1–2): 22–27. doi:10.1093/rpd/ncu324. PMC 4401037. PMID 25394650.
  58. ^ Pierre Le Hir (2015). "Une loi pour encadrer l'exposition aux ondes". Le Monde (in French). No. 29 January 2015.
  59. ^ Leung, L. and Liang, J., 2015. Mobile Phone Addiction. In Encyclopedia of Mobile Phone Behavior (pp. 640-647). IGI Global
  60. ^ a b "Smartphone overuse may 'damage' eyes, say opticians - BBC Newsbeat". BBC Newsbeat. 28 March 2014. Retrieved 12 June 2018.
  61. ^ Bianchi, Adriana; Phillips, James G. (2005). "Psychological Predictors of Problem Mobile Phone Use". Cyberpsychology & Behavior. 8 (1): 39–51. CiteSeerX 10.1.1.563.385. doi:10.1089/cpb.2005.8.39. PMID 15738692.
  62. ^ Osborne, Charlie. "Cyberbullying increases in line with mobile phone usage? (infographic)". ZDNet. Retrieved 7 February 2019.
  63. ^ a b c Twenge, Jean (3 August 2017). "Have Smartphones Destroyed a Generation?". The Atlantic.
  64. ^ Twenge, Jean M.; Joiner, Thomas E.; Rogers, Megan L.; Martin, Gabrielle N. (14 November 2017). "Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time". Clinical Psychological Science. 6 (1): 3–17. doi:10.1177/2167702617723376. S2CID 148724233.
  65. ^ a b Brody, Jane E. (9 January 2017). "Hooked on Our Smartphones". The New York Times.
  66. ^ Turk, Victoria (11 January 2018). "Apple investors say iPhones cause teen depression. Science doesn't". Wired UK.
  67. ^ Aleksandrowicz, Adrianna; Kowalski, Joachim; Gawęda, Łukasz (1 January 2023). "Phantom phone signals and other hallucinatory-like experiences: Investigation of similarities and differences". Psychiatry Research. 319: 114964. doi:10.1016/j.psychres.2022.114964. ISSN 0165-1781. S2CID 253673092.
  68. ^ Hampton, William; Wilmer, Henry; Olson, Ingrid (2019). "Wired to be connected? Links between mobile technology engagement, intertemporal preference and frontostriatal white matter connectivity". Social Cognitive and Affective Neuroscience. 14 (4): 367–379. doi:10.1093/scan/nsz024. PMC 6523422. PMID 31086992.
  69. ^ Hadar, A; Hadas, I; Lazarovits, A (2017). "Answering the missed call: initial exploration of cognitive and electrophysiological changes associated with smartphone use and abuse". PLOS ONE. 12 (7): e0180094. Bibcode:2017PLoSO..1280094H. doi:10.1371/journal.pone.0180094. PMC 5497985. PMID 28678870.
  70. ^ Oviedo-Trespalacios, Oscar; Sonali, Nandavar; Newton, James David Albert; Demant, Daniel; Phillips, James G (12 March 2019). "Problematic Use of Mobile Phones in Australia…Is It Getting Worse?". Front. Psychiatry. 10: 105. doi:10.3389/fpsyt.2019.00105. PMC 6422909. PMID 30914975.
  71. ^ Oviedo-Trespalacios, O; King, M; Haque, MM; Washington, S (2017). "Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies". PLOS ONE. 12 (9): e0183361. Bibcode:2017PLoSO..1283361O. doi:10.1371/journal.pone.0183361. PMC 5587103. PMID 28877200.
  72. ^ Oviedo-Trespalacios, Oscar; Haque, Md. Mazharul; King, Mark; Washington, Simon (October 2018). "Should I Text or Call Here? A Situation-Based Analysis of Drivers' Perceived Likelihood of Engaging in Mobile Phone Multitasking". Risk Analysis. 38 (10): 2144–2160. doi:10.1111/risa.13119. PMID 29813176. S2CID 44146164.
  73. ^ Oviedo-Trespalacios, Oscar; Haque, Md. Mazharul; King, Mark; Washington, Simon (November 2016). "Understanding the impacts of mobile phone distraction on driving performance: A systematic review" (PDF). Transportation Research Part C: Emerging Technologies. 72: 360–380. doi:10.1016/j.trc.2016.10.006.
  74. ^ a b c "The Dangers of Distracted Driving". Federal Communications Commission. 14 February 2011. Retrieved 11 December 2017.
  75. ^ "Cell Phone Distracted Driving". National Safety Council.
  76. ^ Cultivate. "Mobile Phone Laws In The UK - Make Sure You're Up To Date". IMS Law. Retrieved 29 April 2020.
  77. ^ Samaha, Maya; Hawi, Nazir S. (2016). "Relationships among smartphone addiction, stress, academic performance, and satisfaction with life". Computers in Human Behavior. 57: 321–325. doi:10.1016/j.chb.2015.12.045.
  78. ^ Bian, Mengwei; Leung, Louis (8 April 2014). "Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital". Social Science Computer Review. 33 (1): 61–79. doi:10.1177/0894439314528779. S2CID 16554067.
  79. ^ Lin, Yu-Hsuan; Lin, Yu-Cheng; Lee, Yang-Han; Lin, Po-Hsien; Lin, Sheng-Hsuan; Chang, Li-Ren; Tseng, Hsien-Wei; Yen, Liang-Yu; Yang, Cheryl C.H. (2015). "Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App)". Journal of Psychiatric Research. 65: 139–145. doi:10.1016/j.jpsychires.2015.04.003. PMID 25935253.
  80. ^ Demirci, Kadir; Akgönül, Mehmet; Akpinar, Abdullah (2015). "Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students". Journal of Behavioral Addictions. 4 (2): 85–92. doi:10.1556/2006.4.2015.010. PMC 4500888. PMID 26132913.
  81. ^ a b Kim, Hyunna (31 December 2013). "Exercise rehabilitation for smartphone addiction". Journal of Exercise Rehabilitation. 9 (6): 500–505. doi:10.12965/jer.130080. PMC 3884868. PMID 24409425.
  82. ^ Young, Kimberly S. (2007). "Cognitive Behavior Therapy with Internet Addicts: Treatment Outcomes and Implications". CyberPsychology & Behavior. 10 (5): 671–679. doi:10.1089/cpb.2007.9971. PMID 17927535. S2CID 13951774.
  83. ^ a b c Young, Kimberly S.; Yue, Xiao Dong; Ying, Li (9 October 2012), "Prevalence Estimates and Etiologic Models of Internet Addiction", Internet Addiction, John Wiley & Sons, pp. 1–17, doi:10.1002/9781118013991.ch1, ISBN 9781118013991
  84. ^ Liu, Chun-Hao; Lin, Sheng-Hsuan; Pan, Yuan-Chien; Lin, Yu-Hsuan (2016). "Smartphone gaming and frequent use pattern associated with smartphone addiction". Medicine. 95 (28): e4068. doi:10.1097/md.0000000000004068. PMC 4956785. PMID 27428191.
  85. ^ "WHO guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age" (PDF). World Health Organization. World Health Organization. Retrieved 15 May 2019.
  86. ^ Hern, Alex (20 June 2017). "Will turning your phone to greyscale really do wonders for your attention?". The Guardian. Retrieved 18 July 2019.
  87. ^ Baumer, Eric P.S.; Ames, Morgan G.; Brubaker, Jed R.; Burrell, Jenna; Dourish, Paul (2014). "Refusing, limiting, departing". Proceedings of the Extended Abstracts of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI EA '14. New York, New York, USA: ACM Press: 65–68. doi:10.1145/2559206.2559224. ISBN 9781450324748. S2CID 19808650.
  88. ^ ZDF. "Einfach mal abschalten -Suchtfaktor Smartphone" (in German). {{cite journal}}: Cite journal requires |journal= (help)
  89. ^ "iOS 12: Getting to know Screen Time and stronger parental controls". CNET. 17 September 2018. Retrieved 15 November 2018.
  90. ^ Hiniker, Alexis; Hong, Sungsoo (Ray); Kohno, Tadayoshi; Kientz, Julie A. (2016). "MyTime". Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16. New York, New York, USA: ACM Press: 4746–4757. doi:10.1145/2858036.2858403. ISBN 9781450333627. S2CID 2928701.
  91. ^ Löchtefeld, Markus; Böhmer, Matthias; Ganev, Lyubomir (2013). "AppDetox". Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia - MUM '13. New York, New York, USA: ACM Press: 1–2. doi:10.1145/2541831.2541870. ISBN 9781450326483. S2CID 3338918.
  92. ^ Ruan, Wenjie; Sheng, Quan Z.; Yao, Lina; Tran, Nguyen Khoi; Yang, Yu Chieh (2016). "PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness". 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). IEEE: 1–3. doi:10.1109/percomw.2016.7457071. ISBN 9781509019410. S2CID 18999633.
  93. ^ Okeke, Fabian; Sobolev, Michael; Dell, Nicola; Estrin, Deborah (2018). "Good vibrations". Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services - MobileHCI '18. New York, New York, USA: ACM Press: 1–12. doi:10.1145/3229434.3229463. ISBN 9781450358989. S2CID 52098664.
  94. ^ Ko, Minsam; Chung, Kyong-Mee; Yang, Subin; Lee, Joonwon; Heizmann, Christian; Jeong, Jinyoung; Lee, Uichin; Shin, Daehee; Yatani, Koji (2015). "NUGU". Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW '15. New York, New York, USA: ACM Press: 1235–1245. doi:10.1145/2675133.2675244. ISBN 9781450329224. S2CID 15281296.
  95. ^ Jones, Allison (12 March 2019). "Ontario to ban cellphones in classrooms next school year". The Canadian Press. Retrieved 5 May 2019.
  96. ^ Smith, Rory (31 July 2018). "France bans smartphones from schools". CNN. Retrieved 5 May 2019.
  97. ^ Melinda, Smith; Robinson, Lawrence; Segal, Jeanne (October 2019). "Smartphone Addiction". HelpGuide. Retrieved 24 October 2019.
  98. ^ "Signs and Symptoms of Cell Phone Addiction". PsychGuides.com. Retrieved 24 October 2019.
  99. ^ Sela A., Rozenboim N., Chalutz Ben-Gal, Hila (2022). "Smartphone use behavior and quality of life: What is the role of awareness?" (PDF). PLoS ONE 17(3).{{cite web}}: CS1 maint: multiple names: authors list (link)
  100. ^ a b c d Hong, Fu-Yuan; Chiu, Shao-I.; Huang, Der-Hsiang (November 2012). "A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students". Computers in Human Behavior. 28 (6): 2152–2159. doi:10.1016/j.chb.2012.06.020. ISSN 0747-5632.
  101. ^ VanTeijlingen, Edwin R; Sathian, Brijesh (23 April 2018). "Addiction of smart phone and its health implications". Journal of Biomedical Sciences. 3 (3): 31–32. doi:10.3126/jbs.v3i3.19671. ISSN 2382-5545.
  102. ^ Herrero, Juan; Urueña, Alberto; Torres, Andrea; Hidalgo, Antonio (1 February 2019). "Socially Connected but Still Isolated: Smartphone Addiction Decreases Social Support Over Time". Social Science Computer Review. 37 (1): 73–88. doi:10.1177/0894439317742611. ISSN 0894-4393. S2CID 64619582.

Further reading

  • Roberts, James A. (2015). TOO MUCH OF A GOOD THING: Are You Addicted to Your Smartphone?. Sentia Publishing. ISBN 978-0996300476.
  • Richtel, Matt (22 April 2007). "It Don't Mean a Thing if You Ain't Got That Ping". The New York Times. Retrieved 3 December 2013.  
  • Takao, Motoharu; Takahashi, Susumu; Kitamura, Masayoshi (October 2009). "Addictive Personality and Problematic Mobile Phone Use". CyberPsychology & Behavior. 12 (5): 501–507. doi:10.1089/cpb.2009.0022. PMID 19817562. S2CID 2777826.
  • Sánchez-Martínez, Mercedes; Otero, Angel (April 2009). "Factors Associated with Cell Phone Use in Adolescents in the Community of Madrid (Spain)". CyberPsychology & Behavior. 12 (2): 131–137. doi:10.1089/cpb.2008.0164. PMID 19072078. S2CID 11934182.
  • Griffiths, Mark (April 2000). "Does Internet and Computer 'Addiction' Exist? Some Case Study Evidence" (PDF). CyberPsychology & Behavior. 3 (2): 211–218. doi:10.1089/109493100316067.
  • Krajewska-Kulak, E., et al. Problematic mobile phone using among the Polish and Belarusian University students, a comparative study. Progress in Health Sciences 2.1 (2012): 45+. Academic OneFile database. 4 December 2012.  
  • Gil Brand, Making Smart Use of the Smartphone, 14 February 2017.

External links

  •   Media related to People with mobile telephones at Wikimedia Commons

problematic, smartphone, this, article, require, cleanup, meet, wikipedia, quality, standards, specific, problem, unencyclopedic, content, poor, writing, emanating, from, multiple, wikied, assignments, please, help, improve, this, article, september, 2022, lea. This article may require cleanup to meet Wikipedia s quality standards The specific problem is unencyclopedic content and poor writing emanating from multiple WikiEd assignments Please help improve this article if you can September 2022 Learn how and when to remove this template message Problematic smartphone use is proposed by some researchers to be a form of psychological or behavioral dependence on cell phones closely related to other forms of digital media overuse such as social media addiction or internet addiction disorder Other researchers have stated that terminology relating to behavioral addictions in regards to smartphone use can cause additional problems both in research and stigmatization of users suggesting the term to evolve to problematic smartphone use 1 Problematic use can include preoccupation with mobile communication excessive money or time spent on mobile phones and use of mobile phones in socially or physically inappropriate situations such as driving an automobile Increased use can also lead to adverse effects on relationships mental or physical health and ensues anxiety if separated from a mobile phone or sufficient signal Preschool children and young adults are at highest risk for problematic smartphone use 2 Young adults using their mobile phones individually at a party The use of smartphone significantly increased since the late 2000s In 2019 conducts global smartphone users penetrated in 41 5 of total population Due to prolific technological advance the smartphone overuse continued to be a major threat in Asian countries such as China with around 700 million users are registered in 2018 Digital media overuse is tangentially linked to ocular problems especially in young age It has been estimated that 49 8 4 8 billion of global population with digital media overuse would be affected with myopia by 2050 3 Contents 1 History and terminology 2 Prevalence 3 Effects 3 1 Social 3 2 Health 3 3 Psychological 3 4 Neural 3 5 Distracted driving 4 Tools to prevent or treat mobile phone overuse 4 1 Behavioral 4 2 Phone settings 4 3 Phone apps 4 4 Research based 4 5 Bans on mobile phone use 5 Psychological symptoms of phone usage 6 Depression 7 Isolation 8 Low self esteem and anxiety 9 See also 10 References 11 Further reading 12 External linksHistory and terminology EditIt is also known as smartphone overuse smartphone addiction mobile phone overuse or cell phone dependency Founded in current research on the adverse consequences of overusing technology mobile phone overuse has been proposed as a subset of forms of digital addiction or digital dependence reflecting increasing trends of compulsive behaviour amongst users of technological devices 4 Researchers have variously termed these behaviours smartphone addiction and problematic smartphone use as well as referring to use of non smartphone mobile devices cell phones 5 Forms of technology addiction have been considered as diagnoses since the mid 1990s 6 Panova and Carbonell published a review in 2018 that specifically encouraged terminology of problematic use in regard to technology behaviours rather than continuing research based on other behavioral addictions 1 Unrestrained use of technological devices may affect developmental social mental and physical well being and result in symptoms akin to other behavioral addictions 7 However the Diagnostic and Statistical Manual of Mental Disorders has not formally codified smartphone overuse as a diagnosis 8 Gaming disorder has been recognised in the International Classification of Diseases ICD 11 9 10 Varied changing recommendations are in part due to the lack of well established evidence or expert consensus the differing emphasis of the classification manuals as well as difficulties utilising animal models for behavioral addictions 11 Whilst published studies have shown associations between digital media use and mental health symptoms or diagnoses causality has not been established with nuances and caveats of researchers often misunderstood by the general public or misrepresented by the media 12 A systematic review of reviews published in 2019 concluded that evidence although of mainly low to moderate quality showed an association of screen time with poorer psychological health including symptoms such as inattention hyperactivity low self esteem and behavioral issues in childhood and adolescence 13 Several studies have shown that females are more likely to overuse social media and males video games 14 15 This has led experts to suggest that digital media overuse may not be a unified phenomenon with some calling to delineate proposed disorders based on individual online activity 14 Due to the lack of recognition and consensus on the concepts diagnoses and treatments are difficult to standardise or recommend especially considering that new media has been subject to such moral panic 16 Prevalence Edit People using mobile phones International estimates of the prevalence of forms of technology overuse have varied considerably with marked variations by nation 17 18 and increases over time 19 Prevalence of mobile phone overuse depends largely on definition and thus the scales used to quantify a subject s behaviors Two main scales are in use the 20 item self reported Problematic Use of Mobile Phones PUMP scale 20 and the Mobile Phone Problem Use Scale MPPUS which have been used both with adult and adolescent populations There are variations in the age gender and percentage of the population affected problematically according to the scales and definitions used The prevalence among British adolescents aged 11 14 was 10 21 In India addiction is stated at 39 44 for this age group 22 Under different diagnostic criteria the estimated prevalence ranges from 0 to 38 with self attribution of mobile phone addiction exceeding the prevalence estimated in the studies themselves 23 The prevalence of the related problem of Internet addiction was 4 9 10 7 in Korea and is now regarded as a serious public health issue 24 A questionnaire survey in Korea also found that these teenagers are twice as likely to admit that they are mobile phone addicted as adults For most teenagers smartphone communication is what they think is an important way to maintain social relationships and has become an important part of their lives 25 Additional scales used to measure smartphone addictions are the Korean Scale for Internet Addiction for adolescents K scale the Smartphone Addiction Scale SAS SV and the Smartphone Addiction Proneness Scale SAPS These implicit tests were validated as means of measuring smartphone and internet addiction in children and adolescents in a study conducted by Daeyoung Roh Soo Young Bhang Jung Seok Choi Yong Sil Kweon Sang Kyu Lee and Marc N Potenza 26 Behaviors associated with mobile phone addiction differ between genders 27 28 Older people are less likely to develop addictive mobile phone behavior because of different social usage stress and greater self regulation 29 At the same time the study by media regulator Ofcom has shown that 50 of 10 year olds in the UK owned a smartphone in 2019 30 These children who grow with gadgets in their hands are more prone to mobile phone addiction since their online and offline worlds merge into a single whole Effects Edit In some schools a mobile phone cage is used to prevent students from using smartphones in the classroom during lessons Overuse of mobile phones may be associated with negative outcomes on mental and physical health in addition to having an impact on how users interact socially 31 32 Social Edit Some people are replacing face to face conversations with cyber ones Clinical psychologist Lisa Merlo says Some patients pretend to talk on the phone or fiddle with apps to avoid eye contact or other interactions at a party 33 Furthermore 70 check their phones in the morning within an hour of getting up 56 check their phones before going to bed 48 check their phones over the weekend 51 constantly check their phones during vacation 44 reported they would feel very anxious and irritable if they did not interact with their phones within a week 34 This change in style from face to face to text based conversation has also been observed by Sherry Turkle Her work cites connectivity as an important trigger of social behavior change regarding communication 32 therefore this adaptation of communicating is not caused only by the phone itself In her book Alone Together Why We Expect More from Technology and Less from Each Other Turkle argues that people now find themselves in a state of continual co presence 35 This means that digital communication allows the occurrence of two or more realities in the same place and time Subsequently person also live in a world of continual partial attention 35 the process of paying simultaneous attention to a number of sources of incoming information but at a superficial level Bombarded with an abundance of emails texts messages people not only find themselves divesting people of their human characteristics or individuality but also increasingly treating them as digital units This is often referred to as depersonalization 36 According to Elliot Berkman a psychology professor at the University of Oregon the constant checking of phones is caused by reward learning and the fear of missing out Berkman explains that Habits are a product of reinforcement learning one of our brain s most ancient and reliable systems and people tend thus to develop habits of completing behaviors that have rewarded them in the past 37 For many using mobile phone has been enjoyable in the past leading to feel excited and positive when receive a notification from phones Berkman also iterates that people often check their smartphones to relieve the social pressure they place upon themselves to never miss out on exciting things As Berkman says Smartphones can be an escape from boredom because they are a window into many worlds other than the one right in front of you helping us feel included and involved in society 37 When people do not check their mobile phones they are unable to satisfy this check habit or suppress the fear of missing out leading to feel anxious and irritable A survey conducted by Hejab M Al Fawareh and Shaidah Jusoh also found that people also often feel incomplete without their smartphones Of the 66 respondents 61 41 strongly agreed or agreed with the statement I feel incomplete when my smartphone is not with me 38 Other implications of cell phone use in mental health symptoms were observed by Thomee et al in Sweden This study found a relationship between report of mental health and perceived stress of participants accessibility which is defined as the possibility to be disturbed at any moment of day or night 31 Critics of smartphones have especially raised concerns about effects on youth 39 The presence of smartphones in everyday life may affect social interactions amongst teenagers Present evidence shows that smartphones are not only decreasing face to face social interactions between teenagers but are also making the youth less likely to talk to adults 40 In a study produced by Doctor Lelia Green at Edith Cowan University researchers discovered that the growing use of mobile technologies implies a progressive digital colonization of children s lives reshaping the interactions of younger adults Face to face interactions have decreased because of the increase in shared interactions via social media mobile video sharing and digital instant messaging Critics believe the primary concern in this shift is that the youth are inhibiting themselves of constructive social interactions and emotional practices 41 Engaging in a strictly digital world may isolate individuals causing lack of social and emotional development Other studies show that there is actually a positive social aspect from smartphone use A study on whether smartphone presence changed responses to social stress conducted an experiment with 148 males and females around the age of 20 42 Participants were split up into 3 groups where 1 phone was present and use was encouraged 2 phone was present with use restricted and 3 no phone access They were exposed to a peer social exclusion stressor and saliva samples measuring levels of alpha amylase sAA or stressor hormones were measured throughout The results showed that both of the phone present groups had lower levels of SAA and cortisol than the group without a phone thus suggesting that the presence of a smartphone even if it s not being used can decrease the negative effects of social exclusion 42 Health Edit See also Mobile phone radiation and health and Electronic media and sleep Research from the London School of Hygiene amp Tropical Medicine at Queen Mary in 2011 indicated that one in six cell phones is contaminated with fecal matter Under further inspection some of the phones with the fecal matter were also harboring lethal bacteria such as E coli which can result in fever vomiting and diarrhea 43 According to the article Mobile Phones and Nosocomial Infections written by researchers at Mansoura University of Egypt it states that the risk of transmitting the bacteria by the medical staff who carry their cellphones during their shift is much higher because cellphones act as a reservoir where the bacteria can thrive 44 45 Despite the International Agency for Research on Cancer of the World Health Organization stating in 2011 that radio frequency is a possible human carcinogen based on heavy usage increasing the risk of developing glioma tumors 46 no relationship has been established In fact there is no definitive evidence linking cancer and phone use nor any accepted scientific explanation for how phone usage could cause cancer 47 Despite this research is continuing based on leads from changing patterns of mobile phone use over time and habits of phone users 48 and there been claims that low level radio frequency radiation promotes tumors in mice 49 Studies show that some users associate mobile phone usage with headaches impaired memory and concentration fatigue dizziness and disturbed sleep 50 Claims that users have developed electrosensitivity from excessive exposure to electromagnetic fields are likely psychological in origin due to the nocebo effect 51 52 Minor acute immediate effects of radio frequency exposure have long been known such as the Microwave auditory effect which was discovered in 1962 53 A study by scientists from the Karolinska Institute and Uppsala University in Sweden and from Wayne State University in Michigan founded that using a cell phone before bed can cause insomnia The study 54 showed that this is due to the radiation received by the user as stated The study indicates that during laboratory exposure to 884 MHz wireless signals components of sleep believed to be important for recovery from daily wear and tear are adversely affected Additional adverse health effects attributable to smartphone usage include a diminished quantity and quality of sleep due to an inhibited secretion of melatonin 55 Adolescents who spent time online before bedtime had higher rates of Internet addiction and insomnia than those who did not spend time online before bedtime 56 In 2014 58 of World Health Organization states advised the general population to reduce radio frequency exposure below heating guidelines The most common advice is to use hands free kits 69 to reduce call time 44 use text messaging 36 avoid calling with low signals 24 or use phones with low specific absorption rate SAR 22 57 In 2015 Taiwan banned toddlers under the age of two from using mobile phones or any similar electronic devices and France banned Wi Fi from toddlers nurseries 58 As the market increases to grow more light is being shed upon the accompanying behavioral health issues and how mobile phones can be problematic Mobile phones continue to become increasingly multifunctional and sophisticated which this in turn worsens the problem 59 According to optician Andy Hepworth blue violet light a light that is transmitted from the cell phone into the eye is potentially hazardous and can be toxic to the back of the eye He states that an over exposure to blue violet light can lead to a greater risk of macular degeneration which is a leading cause of blindness 60 Psychological Edit There are concerns that some mobile phone users incur considerable debt and that mobile phones are being used to violate privacy and harass others 61 In particular there is increasing evidence that mobile phones are being used as a tool by children to bully other children 62 There is a large amount of research on mobile phone use and its positive and negative influence on the human s psychological mind mental health and social communication Mobile phone users may encounter stress sleep disturbances and symptoms of depression especially young adults 63 Consistent phone use can cause a chain reaction affecting one aspect of a user s life and expanding to contaminate the rest It usually starts with social disorders which can lead to depression and stress and ultimately affect lifestyle habits such as sleeping right and eating right 31 According to research done by Professor of psychology at San Diego State University Jean M Twenge there is a correlation between mobile phone overuse and depression In the wake of smartphone being evolved Twenge and her colleagues stated that there was also an increase seen in depressive symptoms and even suicides among adolescents in 2010 63 The theory behind this research is that adolescents who are being raised as a generation of avid smartphone users are spending so much time on these devices that they forgo actual human interaction which is seen as essential to mental health The more time teens spend looking at screens the more likely they are to report symptoms of depression 64 While children used to spend their free time outdoors with others with the advancement of technology this free time is seemingly now being spent more on mobile devices In this research Twenge also discusses that three out of four American teens owned an iPhone and with this rates of teen depression and suicide have skyrocketed since 2011 which follows the release of the iPhone in 2007 and the iPad in 2010 41 Another focus is that teens now spend the majority of their leisure time on their phones This leisure time can be seen as detrimental which can be seen through eighth graders who spend 10 or more hours a week on social media are 56 more likely to be unhappy than those who devote less time to social media 41 Psychologist Nancy Colier has argued that people have lost sight of what is truly important to them in life She says that people have become disconnected from what really matters from what makes us feel nourished and grounded as human beings 65 People s addiction to technology has deterred neurological and relationship development because tech is being introduced to people at a very young age People have become so addicted to their phones that they are almost dependent on them Humans are not meant to be constantly staring at a screen as time is needed to relax their eyes and more importantly their minds Colier states Without open spaces and downtime the nervous system never shuts down it s in constant fight or flight mode We re wired and tired all the time Even computers reboot but we re not doing it 65 The amount of time spent on screens appears to have a correlation with happiness levels A nationally representative study of American 12th graders funded by the National Institute on Drug Abuse titled Monitoring the Future Survey found that teens who spent more time than average on screen activities are more likely to be unhappy and those who spend more time than average on non screen activities are more likely to be happy One of the most important findings of this study is how the amount of time spent on non screen activities versus on screen activities affects the happiness levels of teenagers 63 However while it is easy to see a correlation between cell phone overuse and these symptoms of depression anxiety and isolation it is much harder to prove that cell phones themselves cause these issues Studies of correlations cannot prove causation because there are multiple other factors that increase depression in people today According to psychologist Peter Etchells although parents and other figures share these concerns other possible variables must be reviewed as well Etchells proposes two possible alternative theories depression could cause teens to use iPhones more or teens could be more open to discussing the topic of depression in this day and age 66 A survey done by a group of independent opticians reviled that 43 of people under the age of 25 experienced anxiety or even irritation when they were not able to access their phone whenever they wanted 60 This survey shows the psychological effect that cell phones have on people specifically young people Smartphone dependence is also associated with increased number of phantom phone signals as in Phantom vibration syndrome 67 Neural Edit There has been considerable speculation about the impact problematic mobile usage may have on cognitive development and how such habits could be rewiring the brains of those highly engaged with their mobiles Research has shown that the reward areas of the brains of those who use their phones more exhibit different structural connectivity than those who use their phones less 68 Further findings have linked digital media behaviors to the brain s self regulatory control structures suggesting that variation in individuals ability to control behavioral impulses might also be a key psychological pathway connecting mobile technology habits to the brain 69 Distracted driving Edit Research has found that there is a direct relationship between mobile phone overuse and mobile phone use while driving 70 Mobile phone overuse can be especially dangerous in certain situations such as texting browsing and driving or talking on the phone while driving 71 72 73 Over 8 people are killed and 1 161 are injured daily because of distracted driving 74 At any given daylight moment across U S approximately 660 000 drivers are using cell phones or electronic devices while driving 74 The significant number of injuries and accidents from distracted driving can be contributed at least partially to mobile phone overuse However many cell phone related crashes are not reported due to drivers reluctance to admit texting or talking behind the wheel 75 There is currently no national ban on texting while driving but many states have implemented laws to try to prevent these accidents 74 Sixteen states as well as Washington D C Puerto Rico and the U S Virgin Islands passed laws prohibiting the use of hand held devices while driving Texting and driving is banned in most of the country new drivers in 38 states and DC are not permitted to use cell phones behind the wheel According to the National Highway Traffic Safety Administration or NHTSA which promotes safe driving through research and education drivers between the ages of 16 and 24 were most distracted with women at greater risk of dying in a crash About 20 000 of motor vehicle fatalities between 2012 and 2017 were related to distracted driving In the UK the only way to currently use a mobile phone lawfully whilst driving is using a hands free system Any other type of phone use whilst in control of a vehicle whether stationary or moving carries a fine of 1 000 and 6 penalty points This can be increased for serious misuse 1 in 5 of UK residents admit to checking social media whilst being behind the wheel 76 It s interesting to note that in the UK it is also illegal for someone accompanying a learner driver to use their mobile phone whilst driving As an instructor they are classed as in control of the vehicle even if they are not a professional instructor A text can take one s eyes off the road for an average of five seconds Although brief one driving at 55 mph can travel the length of a football field in that time Approximately three percent of drivers are talking on the phone when stopped at an intersection Furthermore five percent of drivers are on the phone at any given time The Insurance Institute of Highway Safety IIHS reported those who used cell phones more often tended to brake harder drive faster and change lanes more frequently predisposing them to crashes and near crashes They are also two to six times more likely to get into an accident Research indicates driver performance is adversely affected by concurrent cell phone use delaying reaction time and increasing lane deviations and length of time with eyes off the road It can also cause inattention blindness in which drivers see but do not register what is in front of them Teen drivers are especially at risk About 1 2 million and 341 000 crashes in 2013 involved talking and texting respectively Distractions such as music games GPS social media etc are potentially deadly when combined with inexperience The dangers of driving and multitasking continue to rise as more technology is integrated into cars Teens who texted more frequently were less likely to wear a seat belt and more likely to drive intoxicated or ride with a drunk driver Cell phone use can reduce brain activity as much as 37 affecting young drivers abilities to control their vehicles pay attention to the roadway and respond promptly to traffic events Tools to prevent or treat mobile phone overuse EditThe following tools or interventions can be used to prevent or treat mobile phone overuse Behavioral Edit Many studies have found relationships between psychological or mental health issues and smartphone addiction 77 78 79 80 Hence behavioral interventions such as individual or family psychotherapy for these issues may help In fact studies have found that psychotherapeutic approaches such as cognitive behavioral therapy and motivational interviewing are able to successfully treat internet addiction and may be useful for mobile phone overuse 81 82 Further support groups and family therapy may also help prevent and treat internet and smartphone addiction 83 Complete abstinence from mobile phone use or abstinence from certain apps can also help treat mobile phone overuse 83 84 Other behavioral interventions include practicing the opposite e g disrupt their normal routine and re adapt to new time patterns of use goal setting reminder cards e g listing 5 problems resulting from mobile phone overuse and 5 benefits of limiting overuse and creating a personal inventory of alternative activities e g exercise music art 81 83 In 2019 the World Health Organization issued recommendations about active lifestyle sleep and screen time for children at age 0 5 The recommendations are For children in age less than one year 30 minute physical activity 0 hours screen time and 14 17 hours of sleep time per day For children in age 1 year 180 minutes physical activity 0 hours screen time 11 14 hours of sleep time per day For children in age 2 year 180 minutes physical activity 1 hour screen time 11 14 hours of sleep time per day For 3 4 year old children 180 minutes physical activity 1 hour screen time 10 13 hours of sleep time per day 85 Phone settings Edit Many smartphone addiction activists such as Tristan Harris recommend turning one s phone screen to grayscale mode which helps reduce time spent on mobile phones by making them boring to look at 86 Other phone settings alterations for mobile phone non use included turning on airplane mode turning off cellular data and or Wi Fi turning off the phone removing specific apps and factory resetting 87 Phone apps Edit German psychotherapist and online addiction expert Bert te Wildt recommends using apps such as Offtime and Menthal to help prevent mobile phone overuse 88 In fact there are many apps available on Android and iOS stores which help track mobile usage For example in iOS 12 Apple added a function called Screen Time that allows users to see how much time they have spent on the phone In Android a similar feature called digital wellbeing has been implemented to keep track of cell phone usage 89 These apps usually work by doing one of two things increasing awareness by sending user usage summaries or notifying the user when he she has exceeded some user defined time limit for each app or app category Research based Edit Studying and developing interventions for temporary mobile phone non use is a growing area of research Hiniker et al generated 100 different design ideas for mobile phone non use belonging to eight organic categories information i e agnostically providing information to the user about his or her behavior reward i e rewarding the user for engaging in behaviors that are consistent with his or her self defined goals punishment i e punishing the user for engaging in behaviors that are inconsistent with his or her self defined goals disruption i e a temporary barrier momentarily prevents the user from engaging in a specific behavior limit i e certain behaviors are time or context bound or otherwise constrained within defined parameters mindfulness i e the user is asked to reflect on his or her choices before during or after making them appeal to values i e reminding the user about the underlying values that shaped his or her decisions about de sired use and non use social support i e opportunities for including other individuals into the intervention Users found interventions related to information limit and mindfulness to be the most useful The researchers implement an Android app that combined these three intervention types and found that users reduced their time with the apps they feel are a poor use of time by 21 while their use of the apps they feel are a good use of time remained unchanged 90 AppDetox allows users to define rules that limit their usage of specific apps 91 PreventDark detects and prevents problematic usage of smartphones in the dark 92 Using vibrations instead of notifications to limit app usage has also been found to be effective 93 Further researchers have found group based interventions that rely on users sharing their limiting behaviors with others to be effective 94 Bans on mobile phone use Edit See also Mobile phone use in schools In some places in the world the use of mobile phones was banned in classes during instructional time for example in France Ontario Research says it improves the performance of students 95 96 Psychological symptoms of phone usage EditThe psychological symptoms that people who are addicted to smartphones possession are depression social isolation low self esteem and anxiety 97 Three types of disorders classified as follows 1 Depression is a medical illness that adversely influences people in emotion imagination and action It is the common word related to the mental problem accredited by clinical psychologists It is the symptom that people possess a lot offline however the number of people gets in online these days 2 Social isolation the lack of interaction between individuals and society If the communications are just done by the message on the phone the conversation with face to face would no longer happen and the offline real life friends would not be made or resisted anymore People may think they are happy and satisfying their life however only online Therefore they would end up people feeling lonely and isolated from the world when they are in real life 3 low self esteem and anxiety are a lack of confidence and feeling negative about oneself People check the reaction to their posts and care about likes comments and other s post which decreases self esteem These connect to anxiety caring other s reaction to show off themselves checking phone frequently with no reason 98 It has been acknowledged that problematic smartphone use affects quality of life QOL parameters For example it was found that the user awareness mode while using the device affects the QOL parameters in various ways 99 Depression Edit Depressive symptoms in particular are some of the most serious psychological problems in adolescents the relationship between depressive symptoms and mobile phone addiction is a critical issue because such symptoms may lead to substance abuse school failure and even suicide 100 101 Depression caused by phone addiction can result in failure of the entire life For example if the person is diagnosed with depression they start to compare themselves with others A person would curse other beings if everyone expected him her to be in good fortune and well being Furthermore the person may remind him her failure of everything convincing not to succeed at all costs Isolation EditThe increase of mobile phone addiction levels would increase user s social isolation from a decrease of face to face social interactions then users would face much more interpersonal problems 100 The phone stops the conversation and interaction between humans The process of smartphone overuse may negatively affects social support and undermines user s psychological health Some indirect evidence also exist For example Lemmens Valkenburg and Peter 2011 founded that behavioral addiction i e gambling with mobile phone overuse may leads to loneliness causing conflict with family or friends and potentially reducing social support 102 Low self esteem and anxiety EditThe other psychological symptoms that are caused by phone addiction are self esteem and anxiety Today Social Network Service SNS is one of the main streams in the world therefore it dissolved a lot in daily life too Studies with teens have consistently shown that there are significant relationships between high extroversion high anxiety low self esteem and mobile phone usage The stronger the young person s mobile phone addiction the more likely that individual is to have high mobile phone call time receive excessive calls and receive excessive text messages 100 Anxious people more easily perceive certain normal life matters as pressure To reduce this stress might result in even more addictive behaviors and females are more likely to use mobile phones to maintain social relations 100 Moreover online under the name anonymous people utilize it in bad ways like the cyberbully or spread rumors People also force their opinions and post bad comments that might hurt others too All of these examples would result in people by having a symptom of anxiety and low self esteem that connects to depression See also Edit Telecommunication portal Telephones portalComputer addiction De Quervain syndrome Digital detox a period of time during which a person refrains from using electronic connecting devices Digital media use and mental health Instagram s impact on people Internet addiction disorder Mobile phone Health effects Mobile phone radiation and health Mobile phones and driving safety Nomophobia a proposed name for the fear of being out of cellular phone contact Smartphone zombie Television addiction Video game overuseReferences Edit a b Panova Tayana Carbonell Xavier June 2018 Is smartphone addiction really an addiction Journal of Behavioral Addictions 7 2 252 259 doi 10 1556 2006 7 2018 49 ISSN 2062 5871 PMC 6174603 PMID 29895183 Csibi Sandor Griffiths Mark D Demetrovics Zsolt Szabo Attila 1 June 2021 Analysis of Problematic Smartphone Use Across Different Age Groups within the Components Model of Addiction International Journal of Mental Health and Addiction 19 3 616 631 doi 10 1007 s11469 019 00095 0 ISSN 1557 1882 S2CID 162184024 Wang Jian Li Mei Zhu Daqiao Cao Yang 8 December 2020 Smartphone Overuse and Visual Impairment in Children and Young Adults Systematic Review and Meta Analysis Journal of Medical Internet Research 22 12 e21923 doi 10 2196 21923 PMC 7755532 PMID 33289673 Rubio Gabriel Rodriguez de Fonseca Fernando De Sola Gutierrez Jose 2016 Cell Phone Addiction A Review Frontiers in Psychiatry 7 175 doi 10 3389 fpsyt 2016 00175 ISSN 1664 0640 PMC 5076301 PMID 27822187 Elhai Jon D Dvorak Robert D Levine Jason C Hall Brian J January 2017 Problematic smartphone use A conceptual overview and systematic review of relations with anxiety and depression psychopathology Journal of Affective Disorders 207 251 259 doi 10 1016 j jad 2016 08 030 PMID 27736736 S2CID 205642153 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 New York ISBN 978 0471191599 OCLC 38130573 Chamberlain Samuel R Grant Jon E August 2016 Expanding the definition of addiction DSM 5 vs ICD 11 CNS Spectrums 21 4 300 303 doi 10 1017 S1092852916000183 ISSN 2165 6509 PMC 5328289 PMID 27151528 Internet Gaming www psychiatry org Retrieved 10 May 2019 Gaming disorder Gaming disorder World Health Organization 1 September 2018 Retrieved 10 May 2019 ICD 11 Mortality and Morbidity Statistics icd who int Retrieved 11 May 2019 Grant Jon E Chamberlain Samuel R 1 August 2016 Expanding the definition of addiction DSM 5 vs ICD 11 CNS Spectrums 21 4 300 303 doi 10 1017 S1092852916000183 ISSN 1092 8529 PMC 5328289 PMID 27151528 Kardefelt Winther Daniel 1 February 2017 How does the time children spend using digital technology impact their mental well being social relationships and physical activity An evidence focused literature review PDF UNICEF Office of Research Innocenti Retrieved 12 May 2019 Viner Russell M Stiglic Neza 1 January 2019 Effects of screentime on the health and well being of children and adolescents a systematic review of reviews BMJ Open 9 1 e023191 doi 10 1136 bmjopen 2018 023191 ISSN 2044 6055 PMC 6326346 PMID 30606703 a b Hawi Nazir Samaha Maya 30 August 2019 Identifying commonalities and differences in personality characteristics of Internet and social media addiction profiles traits self esteem and self construal Behaviour amp Information Technology 38 2 110 119 doi 10 1080 0144929X 2018 1515984 ISSN 0144 929X S2CID 59523874 Griffiths Mark D Kuss Daria J 17 March 2017 Social Networking Sites and Addiction Ten Lessons Learned International Journal of Environmental Research and Public Health 14 3 311 doi 10 3390 ijerph14030311 PMC 5369147 PMID 28304359 Ryding Francesca C Kaye Linda K 2018 Internet Addiction a Conceptual Minefield International Journal of Mental Health and Addiction 16 1 225 232 doi 10 1007 s11469 017 9811 6 ISSN 1557 1874 PMC 5814538 PMID 29491771 De Sola Gutierrez Jose Rodriguez de Fonseca Fernando Rubio Gabriel 24 October 2016 Cell Phone Addiction A Review Frontiers in Psychiatry 7 175 doi 10 3389 fpsyt 2016 00175 PMC 5076301 PMID 27822187 Cheng Cecilia Li Angel Yee lam 1 December 2014 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 doi 10 1089 cyber 2014 0317 ISSN 2152 2715 PMC 4267764 PMID 25489876 Olson Jay A Sandra Dasha A Colucci Elissa S Al Bikaii Alain Chmoulevitch Denis Nahas Johnny Raz Amir Veissiere Samuel P L 1 April 2022 Smartphone addiction is increasing across the world A meta analysis of 24 countries Computers in Human Behavior 129 107138 doi 10 1016 j chb 2021 107138 ISSN 0747 5632 S2CID 245159672 Merlo LJ Stone AM Bibbey A 2013 Measuring Problematic Mobile Phone Use Development and Preliminary Psychometric Properties of the PUMP Scale J Addict 2013 1 7 doi 10 1155 2013 912807 PMC 4008508 PMID 24826371 Lopez Fernandez O Honrubia Serrano L Freixa Blanxart M Gibson W 2014 Prevalence of problematic mobile phone use in British adolescents PDF Cyberpsychology Behavior and Social Networking 17 2 91 98 doi 10 1089 cyber 2012 0260 hdl 2445 53130 PMID 23981147 Davey S Davey A 2014 Assessment of Smartphone Addiction in Indian Adolescents A Mixed Method Study by Systematic review and Meta analysis Approach J Prev Med 5 12 1500 1511 PMC 4336980 PMID 25709785 Pedrero Perez EJ Rodriguez Monje MT Ruiz Sanchez De Leon JM 2012 Mobile phone abuse or addiction A review of the literature Adicciones 24 2 139 152 PMID 22648317 Koo HJ Kwon JH 2014 Risk and protective factors of internet addiction a meta analysis of empirical studies in Korea Yonsei Med J 55 6 1691 1711 doi 10 3349 ymj 2014 55 6 1691 PMC 4205713 PMID 25323910 Kim Dongil Lee Yunhee Lee Juyoung Nam JeeEun Karin Chung Yeoju 21 May 2014 Development of Korean Smartphone Addiction Proneness Scale for Youth PLOS ONE 9 5 e97920 Bibcode 2014PLoSO 997920K doi 10 1371 journal pone 0097920 ISSN 1932 6203 PMC 4029762 PMID 24848006 Roh Daeyoung et al The Validation of Implicit Association Test Measures for Smartphone and Internet Addiction in at Risk Children and Adolescents Journal of Behavioral Addictions vol 7 no 1 2018 pp 79 87 https go gale com ezproxy2 library drexel edu ps i do p AONE amp u drexel main amp id GALE 7CA534488412 amp v 2 1 amp it r amp sid summon Roberts JA Yaya LH Manolis C 2014 The invisible addiction cell phone activities and addiction among male and female college students Journal of Behavioral Addictions 3 4 254 265 doi 10 1556 JBA 3 2014 015 PMC 4291831 PMID 25595966 Ioannidis Konstantinos Treder Matthias S Chamberlain Samuel R Kiraly Franz Redden Sarah A Stein Dan J Lochner Christine Grant Jon E 1 June 2018 Problematic internet use as an age related multifaceted problem Evidence from a two site survey Addictive Behaviors 81 157 166 doi 10 1016 j addbeh 2018 02 017 ISSN 0306 4603 PMC 5849299 PMID 29459201 van Deursen AJAM Bolle CL Hegner SM Kommers PAM 2015 Modeling habitual and addictive smartphone behaviour The role of smartphone usage types emotional intelligence social stress self regulation age and gender Computers in Human Behavior 45 411 420 doi 10 1016 j chb 2014 12 039 Half of UK 10 year olds own a smartphone BBC News 4 February 2020 a b c Thomee Sara Harenstam Annika Hagberg Mats 2011 Mobile phone use and stress sleep disturbances and symptoms of depression among young adults a prospective cohort study BMC Public Health 11 1 66 doi 10 1186 1471 2458 11 66 PMC 3042390 PMID 21281471 a b Turkle Sherry 2011 Alone Together Why We Expect More from Technology and Less from each Other New York Basic Books p 241 ISBN 9780465010219 Gibson E 27 July 2011 Smartphone dependency a growing obsession with gadgets Retrieved 27 September 2013 from USA Today website http usatoday30 usatoday com news health medical health medical mentalhealth story 2011 07 Smartphone dependency a growing obsession to gadgets 49661286 1 Perlow Leslie A 2012 Sleeping with your smartphone how to break the 24 7 habit and change the way you work Boston Harvard Business Review Press ISBN 9781422144046 page needed a b Turkle Sherry 2011 Alone Together Why We Expect More from Technology and Less from Each Other New York Basic Books pp 161 ISBN 9780465010219 the definition of depersonalize Dictionary com Retrieved 6 December 2017 a b Baral Susmita 4 January 2017 How to Break the Habit of Checking your Phone all the Time Mic Retrieved 30 May 2018 Al Fawareh Hejab M 6 November 2017 The Use and Effects of Smartphones in Higher Education International Journal of Interactive Mobile Technologies 11 6 103 111 doi 10 3991 ijim v11i6 7453 Gardner Howard Davis Katie 22 October 2013 The App Generation How Today s Youth Navigate Identity Intimacy and Imagination in a Digital World Yale University Press ISBN 978 0 300 19621 4 Chan Nee Nee Walker Caroline Gleaves Alan 1 March 2015 An exploration of students lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach PDF Computers amp Education 82 96 106 doi 10 1016 j compedu 2014 11 001 ISSN 0360 1315 a b c Twenge Story by Jean M Have Smartphones Destroyed a Generation The Atlantic ISSN 1072 7825 Retrieved 2 March 2020 a b Hunter John F Hooker Emily D Rohleder Nicolas Pressman Sarah D May 2018 The Use of Smartphones as a Digital Security Blanket The Influence of Phone Use and Availability on Psychological and Physiological Responses to Social Exclusion Psychosomatic Medicine 80 4 345 352 doi 10 1097 PSY 0000000000000568 ISSN 0033 3174 PMID 29521885 S2CID 3784504 Britt Darice June 2013 Health Risks of Using Mobile Phones South Carolina University Retrieved 15 April 2014 Badr Rawia Ibrahim Badr Hatem Ibrahim Ali Nabil Mansour 2012 Mobile phones and nosocomial infections International Journal of Infection Control 8 2 doi 10 3396 ijic v8i2 014 12 Retrieved 21 April 2015 Badr Rawia Ibrahim Badr Hatem ibrahim Ali Nabil Mansour 26 March 2012 Mobile phones and nosocomial infections International Journal of Infection Control 8 2 doi 10 3396 ijic v8i2 014 12 World Health Organization International Agency for Research on Cancer 2011 IARC Classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans PDF Press Release No 208 Do mobile phones 4G or 5G cause cancer 20 December 2019 Sinhna Kounteya 18 May 2010 Cell overuse can cause brain cancer The Times of India Retrieved 15 April 2014 Lerchl A Klose M Grote K Wilhelm AF Spathmann O Fiedler T Streckert J Hansen V Clemens M April 2015 Tumor promotion by exposure to radiofrequency electromagnetic fields below exposure limits for humans Biochem Biophys Res Commun 459 4 585 90 doi 10 1016 j bbrc 2015 02 151 PMID 25749340 Al Khlaiwi T Meo SA 2004 Association of mobile phone radiation with fatigue headache dizziness tension and sleep disturbance in Saudi population Saudi Med J 25 6 732 736 PMID 15195201 Carpenter DO 2014 Excessive Exposure to Radiofrequency Electromagnetic Fields May Cause the Development of Electrohypersensitivity Altern Ther Health Med 20 6 40 42 PMID 25478802 Rubin G James Hahn Gareth Everitt Brian S Cleare Anthony J Wessely Simon 13 April 2006 Are some people sensitive to mobile phone signals Within participants double blind randomised provocation study BMJ 332 7546 886 891 doi 10 1136 bmj 38765 519850 55 PMC 1440612 PMID 16520326 Frey AH 1962 Human auditory system response to modulated electromagnetic energy J Appl Physiol 17 4 689 692 doi 10 1152 jappl 1962 17 4 689 PMID 13895081 S2CID 12359057 Arnetz Bengt B Hillert Lena Akerstedt Torbjorn Lowden Arne Kuster Niels Ebert Sven Boutry Clementine Moffat Scott D Berg Mats Wiholm Clairy Effects from 884 MHz mobile phone radiofrequency on brain electrophysiology sleep cognition and well being Referierte Publikationen Chicago 2008 Janssen D 22 January 2016 Smartphone induced sleep deprivation and its implications for public health Europeanpublichealth com Retrieved 29 January 2016 Evli Mahmut Simsek Nuray Isikgoz Mahmut Ozturk Halil Ibrahim 2022 Internet addiction insomnia and violence tendency in adolescents International Journal of Social Psychiatry 002076402210909 doi 10 1177 00207640221090964 ISSN 0020 7640 PMID 35470724 S2CID 248390830 Dhungel A Zmirou Navier D van Deventer E 2015 Risk management policies and practices regarding radio frequency electromagnetic fields results from a WHO survey Radiat Prot Dosimetry 164 1 2 22 27 doi 10 1093 rpd ncu324 PMC 4401037 PMID 25394650 Pierre Le Hir 2015 Une loi pour encadrer l exposition aux ondes Le Monde in French No 29 January 2015 Leung L and Liang J 2015 Mobile Phone Addiction In Encyclopedia of Mobile Phone Behavior pp 640 647 IGI Global a b Smartphone overuse may damage eyes say opticians BBC Newsbeat BBC Newsbeat 28 March 2014 Retrieved 12 June 2018 Bianchi Adriana Phillips James G 2005 Psychological Predictors of Problem Mobile Phone Use Cyberpsychology amp Behavior 8 1 39 51 CiteSeerX 10 1 1 563 385 doi 10 1089 cpb 2005 8 39 PMID 15738692 Osborne Charlie Cyberbullying increases in line with mobile phone usage infographic ZDNet Retrieved 7 February 2019 a b c Twenge Jean 3 August 2017 Have Smartphones Destroyed a Generation The Atlantic Twenge Jean M Joiner Thomas E Rogers Megan L Martin Gabrielle N 14 November 2017 Increases in Depressive Symptoms Suicide Related Outcomes and Suicide Rates Among U S Adolescents After 2010 and Links to Increased New Media Screen Time Clinical Psychological Science 6 1 3 17 doi 10 1177 2167702617723376 S2CID 148724233 a b Brody Jane E 9 January 2017 Hooked on Our Smartphones The New York Times Turk Victoria 11 January 2018 Apple investors say iPhones cause teen depression Science doesn t Wired UK Aleksandrowicz Adrianna Kowalski Joachim Gaweda Lukasz 1 January 2023 Phantom phone signals and other hallucinatory like experiences Investigation of similarities and differences Psychiatry Research 319 114964 doi 10 1016 j psychres 2022 114964 ISSN 0165 1781 S2CID 253673092 Hampton William Wilmer Henry Olson Ingrid 2019 Wired to be connected Links between mobile technology engagement intertemporal preference and frontostriatal white matter connectivity Social Cognitive and Affective Neuroscience 14 4 367 379 doi 10 1093 scan nsz024 PMC 6523422 PMID 31086992 Hadar A Hadas I Lazarovits A 2017 Answering the missed call initial exploration of cognitive and electrophysiological changes associated with smartphone use and abuse PLOS ONE 12 7 e0180094 Bibcode 2017PLoSO 1280094H doi 10 1371 journal pone 0180094 PMC 5497985 PMID 28678870 Oviedo Trespalacios Oscar Sonali Nandavar Newton James David Albert Demant Daniel Phillips James G 12 March 2019 Problematic Use of Mobile Phones in Australia Is It Getting Worse Front Psychiatry 10 105 doi 10 3389 fpsyt 2019 00105 PMC 6422909 PMID 30914975 Oviedo Trespalacios O King M Haque MM Washington S 2017 Risk factors of mobile phone use while driving in Queensland Prevalence attitudes crash risk perception and task management strategies PLOS ONE 12 9 e0183361 Bibcode 2017PLoSO 1283361O doi 10 1371 journal pone 0183361 PMC 5587103 PMID 28877200 Oviedo Trespalacios Oscar Haque Md Mazharul King Mark Washington Simon October 2018 Should I Text or Call Here A Situation Based Analysis of Drivers Perceived Likelihood of Engaging in Mobile Phone Multitasking Risk Analysis 38 10 2144 2160 doi 10 1111 risa 13119 PMID 29813176 S2CID 44146164 Oviedo Trespalacios Oscar Haque Md Mazharul King Mark Washington Simon November 2016 Understanding the impacts of mobile phone distraction on driving performance A systematic review PDF Transportation Research Part C Emerging Technologies 72 360 380 doi 10 1016 j trc 2016 10 006 a b c The Dangers of Distracted Driving Federal Communications Commission 14 February 2011 Retrieved 11 December 2017 Cell Phone Distracted Driving National Safety Council Cultivate Mobile Phone Laws In The UK Make Sure You re Up To Date IMS Law Retrieved 29 April 2020 Samaha Maya Hawi Nazir S 2016 Relationships among smartphone addiction stress academic performance and satisfaction with life Computers in Human Behavior 57 321 325 doi 10 1016 j chb 2015 12 045 Bian Mengwei Leung Louis 8 April 2014 Linking Loneliness Shyness Smartphone Addiction Symptoms and Patterns of Smartphone Use to Social Capital Social Science Computer Review 33 1 61 79 doi 10 1177 0894439314528779 S2CID 16554067 Lin Yu Hsuan Lin Yu Cheng Lee Yang Han Lin Po Hsien Lin Sheng Hsuan Chang Li Ren Tseng Hsien Wei Yen Liang Yu Yang Cheryl C H 2015 Time distortion associated with smartphone addiction Identifying smartphone addiction via a mobile application App Journal of Psychiatric Research 65 139 145 doi 10 1016 j jpsychires 2015 04 003 PMID 25935253 Demirci Kadir Akgonul Mehmet Akpinar Abdullah 2015 Relationship of smartphone use severity with sleep quality depression and anxiety in university students Journal of Behavioral Addictions 4 2 85 92 doi 10 1556 2006 4 2015 010 PMC 4500888 PMID 26132913 a b Kim Hyunna 31 December 2013 Exercise rehabilitation for smartphone addiction Journal of Exercise Rehabilitation 9 6 500 505 doi 10 12965 jer 130080 PMC 3884868 PMID 24409425 Young Kimberly S 2007 Cognitive Behavior Therapy with Internet Addicts Treatment Outcomes and Implications CyberPsychology amp Behavior 10 5 671 679 doi 10 1089 cpb 2007 9971 PMID 17927535 S2CID 13951774 a b c Young Kimberly S Yue Xiao Dong Ying Li 9 October 2012 Prevalence Estimates and Etiologic Models of Internet Addiction Internet Addiction John Wiley amp Sons pp 1 17 doi 10 1002 9781118013991 ch1 ISBN 9781118013991 Liu Chun Hao Lin Sheng Hsuan Pan Yuan Chien Lin Yu Hsuan 2016 Smartphone gaming and frequent use pattern associated with smartphone addiction Medicine 95 28 e4068 doi 10 1097 md 0000000000004068 PMC 4956785 PMID 27428191 WHO guidelines on physical activity sedentary behaviour and sleep for children under 5 years of age PDF World Health Organization World Health Organization Retrieved 15 May 2019 Hern Alex 20 June 2017 Will turning your phone to greyscale really do wonders for your attention The Guardian Retrieved 18 July 2019 Baumer Eric P S Ames Morgan G Brubaker Jed R Burrell Jenna Dourish Paul 2014 Refusing limiting departing Proceedings of the Extended Abstracts of the 32nd Annual ACM Conference on Human Factors in Computing Systems CHI EA 14 New York New York USA ACM Press 65 68 doi 10 1145 2559206 2559224 ISBN 9781450324748 S2CID 19808650 ZDF Einfach mal abschalten Suchtfaktor Smartphone in German a href Template Cite journal html title Template Cite journal cite journal a Cite journal requires journal help iOS 12 Getting to know Screen Time and stronger parental controls CNET 17 September 2018 Retrieved 15 November 2018 Hiniker Alexis Hong Sungsoo Ray Kohno Tadayoshi Kientz Julie A 2016 MyTime Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems CHI 16 New York New York USA ACM Press 4746 4757 doi 10 1145 2858036 2858403 ISBN 9781450333627 S2CID 2928701 Lochtefeld Markus Bohmer Matthias Ganev Lyubomir 2013 AppDetox Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia MUM 13 New York New York USA ACM Press 1 2 doi 10 1145 2541831 2541870 ISBN 9781450326483 S2CID 3338918 Ruan Wenjie Sheng Quan Z Yao Lina Tran Nguyen Khoi Yang Yu Chieh 2016 PreventDark Automatically detecting and preventing problematic use of smartphones in darkness 2016 IEEE International Conference on Pervasive Computing and Communication Workshops PerCom Workshops IEEE 1 3 doi 10 1109 percomw 2016 7457071 ISBN 9781509019410 S2CID 18999633 Okeke Fabian Sobolev Michael Dell Nicola Estrin Deborah 2018 Good vibrations Proceedings of the 20th International Conference on Human Computer Interaction with Mobile Devices and Services MobileHCI 18 New York New York USA ACM Press 1 12 doi 10 1145 3229434 3229463 ISBN 9781450358989 S2CID 52098664 Ko Minsam Chung Kyong Mee Yang Subin Lee Joonwon Heizmann Christian Jeong Jinyoung Lee Uichin Shin Daehee Yatani Koji 2015 NUGU Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work amp Social Computing CSCW 15 New York New York USA ACM Press 1235 1245 doi 10 1145 2675133 2675244 ISBN 9781450329224 S2CID 15281296 Jones Allison 12 March 2019 Ontario to ban cellphones in classrooms next school year The Canadian Press Retrieved 5 May 2019 Smith Rory 31 July 2018 France bans smartphones from schools CNN Retrieved 5 May 2019 Melinda Smith Robinson Lawrence Segal Jeanne October 2019 Smartphone Addiction HelpGuide Retrieved 24 October 2019 Signs and Symptoms of Cell Phone Addiction PsychGuides com Retrieved 24 October 2019 Sela A Rozenboim N Chalutz Ben Gal Hila 2022 Smartphone use behavior and quality of life What is the role of awareness PDF PLoS ONE 17 3 a href Template Cite web html title Template Cite web cite web a CS1 maint multiple names authors list link a b c d Hong Fu Yuan Chiu Shao I Huang Der Hsiang November 2012 A model of the relationship between psychological characteristics mobile phone addiction and use of mobile phones by Taiwanese university female students Computers in Human Behavior 28 6 2152 2159 doi 10 1016 j chb 2012 06 020 ISSN 0747 5632 VanTeijlingen Edwin R Sathian Brijesh 23 April 2018 Addiction of smart phone and its health implications Journal of Biomedical Sciences 3 3 31 32 doi 10 3126 jbs v3i3 19671 ISSN 2382 5545 Herrero Juan Uruena Alberto Torres Andrea Hidalgo Antonio 1 February 2019 Socially Connected but Still Isolated Smartphone Addiction Decreases Social Support Over Time Social Science Computer Review 37 1 73 88 doi 10 1177 0894439317742611 ISSN 0894 4393 S2CID 64619582 Further reading EditRoberts James A 2015 TOO MUCH OF A GOOD THING Are You Addicted to Your Smartphone Sentia Publishing ISBN 978 0996300476 Richtel Matt 22 April 2007 It Don t Mean a Thing if You Ain t Got That Ping The New York Times Retrieved 3 December 2013 Takao Motoharu Takahashi Susumu Kitamura Masayoshi October 2009 Addictive Personality and Problematic Mobile Phone Use CyberPsychology amp Behavior 12 5 501 507 doi 10 1089 cpb 2009 0022 PMID 19817562 S2CID 2777826 Sanchez Martinez Mercedes Otero Angel April 2009 Factors Associated with Cell Phone Use in Adolescents in the Community of Madrid Spain CyberPsychology amp Behavior 12 2 131 137 doi 10 1089 cpb 2008 0164 PMID 19072078 S2CID 11934182 Griffiths Mark April 2000 Does Internet and Computer Addiction Exist Some Case Study Evidence PDF CyberPsychology amp Behavior 3 2 211 218 doi 10 1089 109493100316067 Krajewska Kulak E et al Problematic mobile phone using among the Polish and Belarusian University students a comparative study Progress in Health Sciences 2 1 2012 45 Academic OneFile database 4 December 2012 Gil Brand Making Smart Use of the Smartphone 14 February 2017 External links Edit Media related to People with mobile telephones at Wikimedia Commons Retrieved from https en wikipedia org w index php title Problematic smartphone use amp oldid 1133157395, wikipedia, wiki, book, books, library,

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