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Table of Contents
CONCEPT ARTICLE
Year : 2018  |  Volume : 15  |  Issue : 1  |  Page : 61-68

Internet Addiction: A Growing Concern In India


1 Associate Professor, Dept. of Psychiatric nursing, University College of Nursing, BFUHS. Faridkot, India
2 Assistant Professor, Baba Farid University of health sciences, Faridkot, Punjab, India

Date of Web Publication10-Jul-2019

Correspondence Address:
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2231-1505.262510

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  Abstract 


India stands second in the world with approximately 500 million Internet users. Fast technological improvements have increased the accessibility and uses of internet in all age group tremendously since past decade arising threats that many individuals especially adolescents, will be affected by internet addiction. Purpose of this paper is to present comprehensive overview of the current literature on Internet addiction. Though internet addiction is not officially recognized as a distinct behavioral disorder yet but in context of rapidly growing internet use, the internet addiction (IA) is been recognized as a global concern. It seems necessary to have some effective measures for prevention and management of internet addiction. Multi-model treatment of internet addiction looks promising but focus should also be on prevention. People should be made aware about the negative consequences of irresponsible internet use. Achieving a balance between provision of adequate internet facilities and protection of public from hazards of Internet use poses a challenge for policymakers. Mental health professionals should be aware about IA and work towards implementation of preventive, diagnostic and treatment strategies. World Mental Health Day 2018 will focus on “young people and mental health in a changing world” with an emphasis on the needs of this population on which our future depends. Young people are spending most of their time in online activities including pornography, gambling, online video games, excessive chatting, cyber bullying and cyber crimes etc. India has the youngest population in the world but it’s our responsibility to inculcate the right habits among next generation so we don’t lose the power of our young just in surfing online and they are available in real world instead of a virtual one only.

Keywords: Internet addiction, prevalence, Problematic internet use, treatment, risk factor


How to cite this article:
Maheshwari S K, Preksha S. Internet Addiction: A Growing Concern In India. Indian J Psy Nsg 2018;15:61-8

How to cite this URL:
Maheshwari S K, Preksha S. Internet Addiction: A Growing Concern In India. Indian J Psy Nsg [serial online] 2018 [cited 2023 May 31];15:61-8. Available from: https://www.ijpn.in/text.asp?2018/15/1/61/262510




  Introduction Top


The Internet is a worldwide system of interconnected computer networks which has gone through various fast technological improvements since its inception in early 1960s, and today it provides a variety of services. The number of internet service provider is also increasing and people can access the internet through computers, mobile, laptop, tablets, smart televisions and other types of emerging gadgets. It has increased the accessibility and uses of internet in all age group tremendously since past decade. There has been a remarkable increase in internet uses from only less than 1% in 1995 to approximately 48% of total world population today1. Despite being the second largest base of internet users in India, the overall internet penetration in India is only around 35% at present in 2018. The number of Internet users in India stood at 481 million in December 2017 and is expected to reach 500 million by June 2018, 730 million by 2020 (Internet and Mobile Association of India, IAMAI)2 829 million in year 2021(CISC0)3.Today Internet has become the integral part of life and a basic necessity. Despite being an exceptional discovery in field of communication, internet is not free of its negative side as many people use it for online pornography, gambling , online video games, excessive chatting, cyber bullying and cyber crimes.


  Concept Of Internet Addiction Top


Addiction is a “compulsive need and use of a habit-forming substance characterized by tolerance and by well-defined physiological symptoms upon withdrawal” (Webster Dictionary)[4]. Similarly, internet addiction (IA) is uncontrollable and damaging use of the internet that interferes with daily life. Person is unable to control one’s use of the internet despite negative consequences[5],[6] and which persists over a significant period7. The internet addiction is a complex phenomenon and most researchers have used different terms to describe the same phenomenon of excessive internet use. Internet addiction disorder (IAD) is used interchangeably with problematic/ pathologic internet use, internet addictive disorder, internet abuse/ overuse/ harmful use/ dependency, problematic computer use, compulsive internet use etc. But till now internet addiction as a mental disorder is not included in the current version of Diagnostic and Statistical Manual of Mental Disorders (DSM-V in 2013) and it is noted that the only internet related gaming disorder (one type of IAD) which is included in DSM-V also needs more extensive research in order to be considered as a full disorder[8].


  Prevalence Of Internet Addiction Top


Today the problematic use of internet or internet addiction (IA) is been recognized as a global concern but its prevalence varies widely across countries as reported by various epidemiological studies across the world. A multinational meta-analysis of 80 studies (from 1996 to 2012) reports which comprised 89,281 participants from 31 countries across world reported 6.0% global prevalence with highest (10.9%) prevalence in the Middle East with and lowest (2.6%) in Northern and Western9. In China, the rates of internet addiction ranged from 6% to 10%.[10],[11],[12] High variation in prevalence (ranging from 8.1% to 50.9%) is shown among young people and adolescents of Asia[13],[14] F. Few studies conducted in Europe and the United States found prevalence of Internet addiction from 7.9% to 25.2% among adolescents[15],[16],[17],[18] while in studies from the Middle-East and Africa it ranged from 17.3% to [23].[6]%[19],[20].

India’s mobile data consumption is just one-tenth of that in the US and other advanced countries. As a result of affordability and easy access to touch screens mobiles, tablet devices, and WiFi, India is witnessing overuse of internet, especially among youth and children. According to a study, the addiction problem in India is real and at least 24.6 per cent of adolescents have problematic internet use or internet addiction disorder (IAD)21. In this Indian Council of Medical Research (ICMR) funded survey of 2,755 people from Bengaluru aged 18 to 65 years it is found that 1.3 per cent people were addicted to the Internet, 4.1 per cent to mobile phones, 3.5 per cent to social networking sites, 4 per cent to online shopping, 2 per cent to online pornography and 1.2 per cent to gambling22. Several smaller studies restricted to particular cities Jaipur, Mumbai, and Jabalpur found mild level of internet addiction of[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34]% in subjects and moderate addiction at anywhere between[7][8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24]%[23],[24],[25]. In previous years use of internet has increased many folds in India, there are the threats that many individuals especially adolescents, will be affected by internet addiction.

Classification Of Internet Addiction

Young KS has classified Internet Addiction phenomenon under following five subtypes based on the particular application that acts as a trigger for excessive Internet use26.

  1. Cyber-sexual addiction: addicted individuals are engaged in viewing, downloading and trading online pornography
  2. Cyber-relational addiction: these people are overly involved in online relationship (chat-rooms, social networks) and consider them more important than real relationships instead of marital discord and family instability
  3. Net compulsions: these people are involved with online gambling, shopping and trading activities.
  4. Information overload: under this excessive web surfing for information and database search falls
  5. Computer addiction: individuals are overly engaged in pre-programmed games installed in computer.


Risk Factors Associated With Internet Addiction


  Social factors Top


Social problems27, introversion and poor face-to-face communication skills28, lack of social support and loneliness29,[30], low parental involvement31, negative parent-child relationships[32],[33], not living with mother34 and negative peer relationships35 have been found to be related to IA17.


  Psychological factors Top


Prior addictive or psychiatric history[34],[36], prior or co-morbid psychiatric problems such as depression and anxiety,[13],[37] attention deficit hyperactivity disorder (ADHD)[38], social phobia[39] are reported to be associated with internet addiction disorder. IA can also result from compulsive consumption of online pornography due to its accessibility, affordability, and anonymity.40 Narcissistic features are also reported to correlated with increased selfie taking behavior and later uploading it on the online social sites41.


  Demographic risk factosr Top


Demographic risk factors include male gender42, metropolitan living area43, living in nations with greater traffic time consumption, pollution, and dissatisfaction with life in general9, adolescent and young age44. Parental educational level, age at first use of the Internet, and the frequency of using social networking sites and gaming sites are among other factors that are found to be positively associated with problematic Internet use[45],[46].


  Negative Health Effects Of Internet Addiction Top


Internet is useful in various aspects of life but also reported to have negative psychological, physical, social, academic, work and economic consequences if used irresponsibly47.


  Psychological health effects Top


Although the results are not always consistent, IA has been reported to be associated with alcohol abuse48, depression[35],[49],[50],[51], anxiety and stress49. In a longitudinal study, Chinese high school students with moderate to severe risk of Internet addiction had 2.5 times more risk to develop depressive symptoms.52 Problematic Internet use is also reported to be associated with lower well- being[53],[54] decreased positive view towards life[53],[55],[56] and psychotic-like experiences.57 In addition internet addiction negatively affects memory, concentration and academic performance of students.[58],[59] Studies have demonstrated lower brain gray matter density (GMD) in the parts of left brain60 and more sleep deprivation, excessive daytime sleepiness, insomnia, snoring, apnea, teeth grinding, and nightmares in internet addicts compared to non addicts61.


  Physical health effects Top


Obesity and visual impairment are major health effect of excessive internet use as the individual uses a lot of time looking at the computer screen[62],[63]. Too much use of internet can also affect growth and development, especially for teenagers and young adults,[64],[65] Psychological stress and loneliness pertaining to lack of time to socialize with others among internet addicts can affect them physically and lead to several health issues66.

Social health effects

Addicts spend too much time online in socializing which don’t leave time to socialize with real friends and family members. Online gambling and trading can result in financial loss, loss of work and status. Family relationship distortion, marital, academic, and job-related problems arise because partners, children and bosses are not ready to accept such behaviors[67],[68],[69].


  Assessment and Diagnosis Of Internet Addiction Top


A variety of assessment tools are developed to assess the phenomena of internet addiction. The most commonly used questionnaire is Young’s Internet Addiction Test (IAT)70 which is based on criteria of pathological gambling and used to screen out internet addiction. Individual is considered “addicted” when answering “yes” to five (or more) of the questions (in absence of Manic Episode) out of the following eight items.

  1. Do you feel preoccupied with the Internet (think about previous on-line activity or anticipate next on-line session)?
  2. Do you feel the need to use the Internet with increasing amounts of time in order to achieve satisfaction?
  3. Have you repeatedly made unsuccessful efforts to control, cut back, or stop Internet use?
  4. Do you feel restless, moody, depressed, or irritable when attempting to cut down or stop Internet use?
  5. Do you stay on-line longer than originally intended?
  6. Have you jeopardized or risked the loss of significant relationship, job, educational or career opportunity because of the Internet?
  7. Have you lied to family members, therapist, or others to conceal the extent of involvement with the Internet?
  8. Do you use the Internet as a way of escaping from problems or of relieving a dysphoric mood (e.g., feelings of helplessness, guilt, anxiety, depression)?


Other assessment tools are the Internet Addiction Scale (IAS) of Griffiths73, the Problematic Internet Use Questionnaire74 (PIUQ) developed by Demetrovics et al, Chen Internet Addiction Scale (CIAS)75, , Generalized problematic internet use scale76, the Compulsive Internet Use Scale (CIUS)77, the Internet-Related Problem Scale (IRPS)78 and the Online Cognition Scale-OCS79 etc. Beard (2005)71 reviewed these scale and noted different theoretical underpinnings across various scale. He also did not agreed with underlying dimensions that make their utilization problematic.


  Treatment Top


Though till now internet addiction is not an officially recognized disorder, it is demonstrated to have significant negative health, social, mental, and financial effects and thus requires prevention, control and treatment. The goal of treatment is to control problematic Internet usage and not to abstain from internet use completely.80 Clinicians working in the field of IAD have examined the efficacy of the various treatment options and have provided the treatment guidelines. Psychotherapy, pharmacology or a combination of both are the established strategies that are commonly used in other behavioral addiction problems such as OCD, impulse control disorders and substance use disorders etc are also have been shown to have effect in symptoms related to internet addiction81. Published studies on this topic are few and most of them are inconsistent with the definition and diagnosis of internet addiction, thus precluding any strong recommendations82. Treatment options for internet addiction can broadly be categorized under three categories including psychological, pharmacological and multi model treatment modalities.


  Psychological Treatment Top


a) Cognitive-behavioral therapy (CBT)

Cognitive-behavioral therapy (CBT) is commonest and effective psychological treatment of IA (Young, 2013) which focuses on identifying the triggers for addictive online behavior and learning how to modify them into more adaptive ones.83 CBT also encourages activities that are helpful in fighting against IA such as Participation in physical activities would compensate for decrease in dopamine which results due to decreased internet use in person affected with IA84. Young85 has suggested some activities such as (a) practice opposite time of Internet use (disrupt patient’s patterns of Internet use by new schedules), (b) use external stoppers (external events forcing the patient to log off), (c) set goals (with regard to the amount of time), Du et al. 2010, and Young 2007 have reported effectiveness of CBT in controlling symptoms of IA[86],[87].

b) Motivational interviewing

Motivational interviewing (MI) is a client-centered yet directive method for enhancing intrinsic motivation to change by exploring and resolving client ambivalent.88 It is used to enhance intrinsic motivation to give up addictive behaviors. In this individual learn new behavioral skills, open-ended questioning, reflective listening, affirmation, and summarization that help individuals to explore and resolve ambivalence regarding addiction.89 MI is found moderately effective in the areas of alcohol, drug addiction, and diet/exercise problems 90 but it is not tested in field of IAD.

c) Reality therapy (RT)

Reality therapy (RT) includes sessions to show clients that addiction is a choice and introduces alternative activities to the problematic behavior91. RT is a effective addiction recovery tool for a variety of disorders such as drugs, sex, food, and Internet[92],[93].

d) Community Reinforcement and Family Training

It involves interventions with family members or other relatives that can be useful in enhancing the motivation of a person affected with IA in reducing Internet use[94],[95]. Life skill training may also be helpful in prevention and management of IA as it found to be effective in combating against other addictions96. Other psychological treatments tested for IA are self-imposed bans on Internet access97, abstinence programs98, counseling programs99, CBT-IA which is a variations of cognitive-behavioral therapy (Young 2011), Acceptance & Commitment Therapy (ACT)100 electro acupuncture (EA) along with CBT101 and multifamily group therapy102.


  Pharmacological Treatment Top


Pharmacological interventions tested by some researcher are found effective may be due to the co-morbid psychiatric symptoms of IAD (e.g. depression and anxiety). Escitalopram (a SSRI)103, citalopram (SSRI)- quetiapine (antipsychotic) combination50 naltrexone (an opioid receptor antagonist)104, Methylphenidate (a psycho stimulant drug)105, mood stabilizers50and bupropion (a non-tricyclic antidepressant)106 are reported to decrease problematic internet use.


  Multimodal Treatments Top


A multimodal or multidisciplinary treatment approach includes a mixture of different interventions from various disciplines such as pharmacology, psychotherapy, case managers and family counseling simultaneously or sequentially107. A combination of readiness to change (RtC), CBT and MI interventions was found effective for problematic Internet- enabled sexual behavior (IESB)108 whereas a multimodal school-based group CBT (including parent training, teacher education, and group CBT) was found effective for adolescents with IAD86. The combination of solution-focused brief therapy (SFBT), family therapy, and CT109 in one study whereas group counseling program (including CBT, social competence training, training of self-control strategies and training of communication skills)110 in another Chinese study are reported to be effective. The reSTART Program111,112 (a holistic inpatient Internet addiction recovery program) program which involves combination of various interventions and targets on technology detoxification (no technology for 45 to 90 days), showed an improvement in self-reported subjective discomfort, interpersonal relationships and social role performance among adults.


  India’s internet de-addiction centre Top


An internet de-addiction centre with the name of ‘shut down’ has been set up in the National Institute of Mental Health and Neurosciences (NIMHANS), India for healthy use of technology. Also a clinic for behavioral addiction is initiated in AIIMS, New Delhi. Few similar centres has been set up in a other cities but India need many more such centres across the country considering that millions of Indians are either already or likely to be affected with IAD,.


  Implications Top


Researchers in past decades have strived to conceptualize and operationalize the problematic internet use but still internet addiction is not officially recognized as a separate and distinct behavioral disorder. Also there is a lack of consensus over it’s diagnostic criteria but in context of rapidly growing internet use, it seems necessary to have some effective measures for prevention and management of internet addiction. India has the youngest population in the world but it’s our responsibility to inculcate the right habits among next generation so we don’t lose the power of our young just in surfing online and they are available in real world instead of a virtual one only.


  Conclusion Top


With increasing use of internet especially among young population it is expected that problems of IA will become more prevalent and failure to acknowledge it can affect millions of people, especially children and adolescents. As Internet use is encouraged in wide range of activities of professional, educational and everyday life, total abstinence from internet is neither possible nor recommended and emphasis should be on responsible use of internet. Current review presents a good overview of the state of research in the field of internet addiction treatment. This review may be helpful for the nurses and health professionals engaged in prevention and care of persons affected with pathological use of internet may find review useful during clinical practice as well as in designing the research to developing any preventive and curative interventions for IAD.



 
  References Top

1.
Internet Live Stats: Internet Users (online). Available from http://www.internetlivestats.com/internet-users/.  Back to cited text no. 1
    
2.
Internet and Mobile Association of India ,IAMAI. (online). Available from http://www.iamai.in/media/details/4990  Back to cited text no. 2
    
3.
Cisco Visual Networking Index (VNI) (online). Available from https://www.vccircle.com/internet-users-in-india-to-double-to- 829-mn-by-2021-cisco/  Back to cited text no. 3
    
4.
Merriam Webster. Definition of addiction. (online). Available from https://www.merriam-webster.com/dictionary/addiction  Back to cited text no. 4
    
5.
Griffiths MD: Does Internet and Computer ‘Addiction’ Exist? Some Case Study Evidence. Cyber Psychology Behav 2000; 3:211 –8.  Back to cited text no. 5
    
6.
Tang J, Yu Y, Du Y, Ma Y, Zhang D, and Wang J. Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addict. Behav 2014; 39: 744 –7.  Back to cited text no. 6
    
7.
Kardefelt-Winther D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput. Hum. Behav 2014; 31:351 –4.  Back to cited text no. 7
    
8.
American Psychiatric Association [APA]. Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Association, 2013.  Back to cited text no. 8
    
9.
Cheng C, Li AY Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions Cyberpsychol Behav Soc Netw. 2014 Dec;17(12):755 –60.  Back to cited text no. 9
    
10.
Cao H, Sun Y, Y Wan, J Hao, Tao F. Problematic internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health 2011;11(1): 802 –10.  Back to cited text no. 10
    
11.
Li D, Liau A, Khoo A. Examining the influence of actual-ideal self- discrepancies, depression, and escapism, on pathological gaming among massively multiplayer online adolescent gamers. Cyber psychol Behav Soc Netw 2011; 14:535 –9.  Back to cited text no. 11
    
12.
Wu X, Chen X, Han J, Meng H, Luo J, Nydegger L, Wu H. Prevalence and Factors of Addictive Internet Use among Adolescents in Wuhan, China: Interactions of Parental Relationship with Age and Hyperactivity- Impulsivity. PLoS One 2013; 8.  Back to cited text no. 12
    
13.
Kim K, Ryu E, Chon MY, Yeun EJ, Choi SY, Seo JS, Nam BW. IA in Korean adolescents and its relation to depression and suicidal ideation: A questionnaire survey. International Journal of Nursing Studies. 2006;43 (2):185-92.  Back to cited text no. 13
    
14.
Mak KK, Lai CM, Watanabe H, Kim DI, Bahar N, Ramos M, Cheng C. Epidemiology of internet behaviors and addiction among adolescents in six Asian countries Cyber psychology. Behavior and Social Networking 2014;17(11):720 –8.  Back to cited text no. 14
    
15.
Ko CH, Yen JY, Yen CF, Chen CS, Chen CC. The association between IA and psychiatric disorder: A review of the literature. European Psychiatry. 2012;27(1):1-8.  Back to cited text no. 15
    
16.
Phillips JG, Ogeil RP, Blaszczynski A. Electronic interests and behaviours associated with gambling problems. International Journal of Mental Health and Addiction 2012;10(4):585-96.  Back to cited text no. 16
    
17.
Durkee T, Kaess M, Carli V, Parzer P, Wasserman C, Floderus B, Brunner R. Prevalence of pathological internet use among adolescents in Europe: Demographic and social factors. Addiction. 2012;107(12):2210 –22.  Back to cited text no. 17
    
18.
Bernardi S, Pallanti S. Internet addiction: A descriptive clinical study focusing on comorbidities and dissociative symptoms. Comprehensive Psychiatry 2009;50(6):510-6.  Back to cited text no. 18
    
19.
Ghassemzadeh L, Shahraray M, Moradi A. Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. Cyber psychology and Behavior 2008;11(6):731 –3.  Back to cited text no. 19
    
20.
Adiele I, Olatokun W. Prevalence and determinants of Internet addiction among adolescents. Computers in Human Behavior 2014;31(1):100-10.  Back to cited text no. 20
    
21.
Shyam HR, Sharma MK, Palanichamy T. Exploration of technology use pattern among teenagers and its relationship with psychological variables. Asean J Psychiatry 2016;17:239 –49.  Back to cited text no. 21
    
22.
Barthakur M, Sharma MK. Problematic internet use and mental health problems. Asian J Psychiatry 2012;5:279 –80.  Back to cited text no. 22
    
23.
Sharma A, Sharma R. Internet addiction and psychological well- being among college students: A cross-sectional study from Central India. J Family Med Prim Care 2018;7:147 –51  Back to cited text no. 23
    
24.
Sharma KD, Gupta ID, Gunjan, Sharma V, Sharma R, Sharma D. Internet Addiction Pattern among High School Students of Jaipur City: A Descriptive Study. International Multispecialty Journal of Health (IMJH), 2016;2(5):25-31.  Back to cited text no. 24
    
25.
Goel D, Subramanyam A, Kamath R. A study on the prevalence of internet addiction and its association with psychopathology in Indian adolescents. Indian Journal of Psychiatry 2013;55(2):140-3.  Back to cited text no. 25
    
26.
Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsycol. Behav 1998;11(1): 237 –44.  Back to cited text no. 26
    
27.
Ebeling Witte, Susan F, Michael L, Lester, David. Shyness, Internet Use and Personality. Cyber Psychology & Behavior 2007; 10 (5): 713 –6.  Back to cited text no. 27
    
28.
Leung L. Stressful life events, motives for internet use, and social support among digital kids. Cyber Psychology & Behavior 2007;10 (2): 204-14.  Back to cited text no. 28
    
29.
Morahan-Martin J. The relationship between loneliness and internet use and abuse. CyberPsychology Behav 1999;2 (5):431 –9.  Back to cited text no. 29
    
30.
Excessive Internet Use: The Role of Personality, Loneliness and Social Supp…: Discovery Service for University of Chicago”. eds.a.ebscohost.com.  Back to cited text no. 30
    
31.
Yen JY, Yen CF, Chen CC, Chen SH, Ko CH. Family factors of internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology & Behavior 2007;10(3):323-9.  Back to cited text no. 31
    
32.
Samek DR, Hicks BM, Keyes MA. Gene –environment interplay between parent–child relationship problems and externalizing disorders in adolescence and young adulthood. Psychological Medicine 2015;45:333-44,.  Back to cited text no. 32
    
33.
Chi X, L Lin, P Zhang. Internet addiction among college students in China: Prevalence and psychosocial correlates. Cyberpsychology, Behavior and Social Networking 2016; 19(9):567 –73.  Back to cited text no. 33
    
34.
Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive Values of Psychiatric Symptoms for Internet Addiction in Adolescents. Archives of Pediatrics & Adolescent Medicine 2009; 163 (10): 937.  Back to cited text no. 34
    
35.
Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of internet addiction: Attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health. 2007;41(1): 93 –8.  Back to cited text no. 35
    
36.
Cho SM, Sung, MJ, Shin KM, Lim KY, Shin YM. “Does Psychopathology in Childhood Predict Internet Addiction in Male Adolescents?”. Child Psychiatry & Human Development 2013. 44 (4) : 549-555.  Back to cited text no. 36
    
37.
Ha JH, Yoo HJ, Cho IH, et al.: Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for Internet addiction. J Clin Psychiatry 2006; 67:821- 6.  Back to cited text no. 37
    
38.
Yoo HJ, Cho SC, Ha J. Attention deficit hyperactivity symptoms and internet addiction. Psychiatry Clin Neurosci 2004; 58:487 –94,  Back to cited text no. 38
    
39.
Shepherd RM, Edelmann RJ. Reasons for internet use and social anxiety. Pers Individ Dif 2005; 39:949 -58.  Back to cited text no. 39
    
40.
Southern S. Treatment of Compulsive Cybersex Behavior. Psychiatr Clin North Am 2008; 31:697 –712.  Back to cited text no. 40
    
41.
Kaur S, Maheshwari SK, Sharma P. Narcissistic Personality and Selfie Taking Behavior among College Students. International Journal of medical and health research 2018;4 (5) :56-60.  Back to cited text no. 41
    
42.
Tsai HF, Cheng SH, Yeh TL, Shih CC, Chen KC, Yang YC, Yang YK. The risk factors of Internet addiction--a survey of university freshmen. Psychiatry Res. 2009;167(3):294-9.  Back to cited text no. 42
    
43.
Yen JY, Yen CF, Chen CC, Chen SH, Ko CH. Family factors of internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology & Behavior. 2007;10(3):323-9.  Back to cited text no. 43
    
44.
Karacic S, Oreskovic S. Internet Addiction through the Phase of Adolescence: A Questionnaire Study. JMIR Mental Health. 2017;4:e11.  Back to cited text no. 44
    
45.
Tsitsika A, Janikian S, Tim M, Tzavela EC.”Internet Addictive Behavior in Adolescence: A Cross-Sectional Study in Seven European Countries”. Cyberpsychology, Behavior, and Social Networking. 2014;17 (8): 528 –35.  Back to cited text no. 45
    
46.
Ramachandran, Shankar. “Technology: Smart tablet or just a new drug? (Lessons for use of technology with children)”. The Essayist 2015.  Back to cited text no. 46
    
47.
Cerniglia L , Zoratto F , Cimino S, Laviola G , Ammaniti M, Adriani W. Internet addiction in adolescence: Neurobiological, psychosocial and clinical issues. Neuroscience and Biobehavioral Reviews 2017 May;76(Pt A):174-184.  Back to cited text no. 47
    
48.
Ko CH , Yen JY , Chen CS , Chen CC, Yen CF. Psychiatric comorbidity of intern-et addiction in college students: An interview study. CNS Spectrums. 2008;13(02) : 147-53.  Back to cited text no. 48
    
49.
Iskender M., Akin A. Social self-efficacy, academic locus of control, and internet addiction. Computers and Education.2010;54 (4):1101-6.  Back to cited text no. 49
    
50.
Shapira NA, Goldsmith TD, Keck PE, Khosla UM, McElroy SL. Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders. 2000; 57 (1):267-72.  Back to cited text no. 50
    
51.
Moreno MA, Jelenchick LA, Christakis DA. Problematic internet use among older adolescents: A conceptual framework. Computers in Human Behavior. 2013;29 (4): 1879-87.  Back to cited text no. 51
    
52.
Lam LT, Peng ZW. Effect of Pathological Use of the Internet on Adolescent Mental Health. Archives of Pediatrics & Adolescent Medicine 2010;164 (10): 901-6.  Back to cited text no. 52
    
53.
Çikrıkci O. The effect of internet use on well-being: Metaanalysis. Computers in Human Behavior 2016;65:560-66.  Back to cited text no. 53
    
54.
Odaci H, Çikrikçi O. Problematic internet use in terms of gender, attachment styles and subjective well-being in university students. Computers in Human Behavior.2014; 32 (1):61-6.  Back to cited text no. 54
    
55.
Valkenburg PM, Peter J. Online communication and adolescent well-being: Testing the stimulation versus the displacement hypothesis. Journal of Computer-Mediated Communication. 2007;12:1169-82.  Back to cited text no. 55
    
56.
Telef BB. Investigating the relationship among Internet Addiction, positive and negative affects, and life satisfaction in Turkish adolescents. International Journal of Progressive Education 2016, Vol. 12(1) 128-35.  Back to cited text no. 56
    
57.
Mittal VA, Dean DJ, PelletierA. Dermatoglyphic asymmetries and fronto-striatal dysfunction in young adults reporting non-clinical psychosis. Acta Psychiatrica Scandinavica.2012: 126(4): 290-7.  Back to cited text no. 57
    
58.
Salmela AK, Upadyaya K, Hakkarainen K, Lonka K, Alho K. The Dark Side of Internet Use: Two Longitudinal Studies of Excessive Internet Use, Depressive Symptoms, School Burnout and Engagement Among Finnish Early and Late Adolescents. J Youth Adolesc 2017;46(2):343-57.  Back to cited text no. 58
    
59.
Patricia BI, Paola BG. Use of information and communications technology, academic performance and psychosocial distress in university students. Computers in Human Behavior,2016;56: 119-26.  Back to cited text no. 59
    
60.
Zhou Y, Lin FC, Du YS, Qin LD, Zhao ZM, Xu JR, Lei H. Gray matter abnormalities in Internet addiction: a voxel-based morphometry study. Eur J Radiol. 201;79(1):92-5.  Back to cited text no. 60
    
61.
Choi K, Son H, Park M, Han J, Kim K, Lee B et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences 2009; 63(4):455 –62.  Back to cited text no. 61
    
62.
Bener A, Al-Mahdi HS, Ali AI, Al-Nufal M, Vachhani PJ, Tewfik I. Obesity and low vision as a result of excessive Internet use and television viewing. Int J Food Sci Nutr. 2011;62(1):60-2.  Back to cited text no. 62
    
63.
Bener A, Al-Mahdi HS. Internet Use and Television Viewing in Children and its Association with Vision Loss: A Major Public Health Problem. Journal of Public Health in Africa. 2012;3(1):e16.  Back to cited text no. 63
    
64.
Murray M, Maras D, Goldfield GS. Excessive Time on Social Networking Sites and Disordered Eating Behaviors Among Undergraduate Students: Appearance and Weight Esteem as Mediating Pathways. Cyberpsychol Behav Soc Netw. 2016;19(12):709-15.  Back to cited text no. 64
    
65.
Radesky JS, Christakis DA. Increased Screen Time: Implications for Early Childhood Development and Behavior. Pediatr Clin North Am. 2016;63(5):82739.  Back to cited text no. 65
    
66.
Do YK, Shin E, Bautista MA, Foo K. The associations between self-reported sleep duration and adolescent health outcomes: what is the role of time spent on Internet use? Sleep Med. 2013;14(2):195-200.  Back to cited text no. 66
    
67.
Yellowlees PM, Marks S. Problematic Internet use or Internet addiction? Computers in Human Behavior. 2007;23(3):144753.  Back to cited text no. 67
    
68.
Bernardi S, Pallanti S. Internet addiction: A descriptive clinical study focusing on comorbidities and dissociative symptoms. Comprehensive Psychiatry. 2009;50(6):510-16.  Back to cited text no. 68
    
69.
Young KS. Internet Addiction: A New Clinical Phenomenon and Its Consequences, American Behavioral Scientist, 2004;48:402-15.  Back to cited text no. 69
    
70.
Young KS. Caught in the net: how to recognize the signs of Internet addiction and a winning strategy for recovery. New York: J. Wiley; 1998.  Back to cited text no. 70
    
71.
Beard KW. Internet addiction: a review of current assessment techniques and potential assessment questions. CyberPsychology & Behavior. 2005 Feb; 8(1): 7-14.  Back to cited text no. 71
    
72.
Block JJ. Issues for DSM-V: Internet addiction. The American Journal of Psychiatry. [Editorial]. 2008 Mar; 165(3): 306-7.  Back to cited text no. 72
    
73.
Griffiths M. Internet addiction: Does it really exist? Psychology and the Internet. In: Jayne Gackenbach (ed.). Psychology and the Internet. New York : Academic Press, 1998; 61-75.  Back to cited text no. 73
    
74.
Demetrovics Z, Szeredi B, Rozsa S. The three-factor model of Internet addiction: the development of the Problematic Internet Use Questionnaire. Behavior Research Methods. 2008; 40(2): 563-74.  Back to cited text no. 74
    
75.
Chen S, Weng L, Su Y, Wu H & Yang P: Development of a Chinese Internet addiction scale and its psychometric study. Chinese J Psychol 2003; 45:279.  Back to cited text no. 75
    
76.
Caplan, Scott E. Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior. 2010;26 (5):1089-97.  Back to cited text no. 76
    
77.
Meerkerk G, Van Den, Vermulst A, Garretsen H. The Compulsive Internet Use Scale (CIUS): some psychometric properties. CyberPsychology & Behavior. 2009;12(1): 1-6.  Back to cited text no. 77
    
78.
Armstrong L, Phillips JG, Saling LL. Potential determinants of heavier Internet usage. International Journal of HumanComputer Studies 2000; 53:537-50  Back to cited text no. 78
    
79.
Davis RA, Flett GL, Besser A. Validation of a new scale for measuring problematic Internet use: implications for pre-employment screening. CyberPsychol. Behav 2002; 5: 331-45.  Back to cited text no. 79
    
80.
Petersen KU, Weymann N, Schelb Y, Thiel R, Thomasius R. Pathological Internet use - epidemiology, diagnostics, co-occurring disorders and treatment. Fortschritte Der Neurologie Psychiatrie. 2009;77(5 ):263-71.  Back to cited text no. 80
    
81.
Winkler A, Dorsing B, Rief W, Shen Y & Glombiewski JA: “Treatment of internet addiction: A meta-analysis. Clin Psychol Rev 2013; 33:317-29.  Back to cited text no. 81
    
82.
King D, Delfabbro P & Griffiths M: Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clin Psychol Rev 2011;  Back to cited text no. 82
    
83.
Khazaal Y, Xirossavidou C, Khan R, Edel Y. Cognitive behavioral treatments for internet addiction. The Open Addict Journal 2012: 5(Suppl 1: M5): 30-5.  Back to cited text no. 83
    
84.
Cash H, Rae CD, Steel AH, Winkler A. Internet Addiction: A Brief Summary of Research and Practice. Curr Psychiatry Rev 2012; 8:292-98.  Back to cited text no. 84
    
85.
Young KS. Internet Addiction: Symptoms, Evaluation, And Treatment. Innovations in Clinical Practice [serial on the Internet]. 1999;17 Available from  Back to cited text no. 85
    
86.
87.
Du YS, Jiang W, Vance A. Longer term effect of randomized, controlled group cognitive behaviour al therapy for Internet addiction in adolescent students in Shanghai. 2010; 44:129-34.  Back to cited text no. 87
    
88.
Young KS. Cognitive behavior therapy with internet addicts: Treatment out comes and implications. Cyber psychology Behav 2007; 10:671-9.  Back to cited text no. 88
    
89.
Miller WR, Rollnick S. In: Motivational interviewing: preparing people for change. 2nd ed. Miller WR, Rollnick S, editors. New York: Guilford Press; 2002.  Back to cited text no. 89
    
90.
Miller NH. Motivational interviewing as a prelude to coaching in healthcare settings. Journal of Cardiovascular Nursing. 2010 May-Jun;25(3):247-51.  Back to cited text no. 90
    
91.
Burke BL, Arkowitz H, Menchola M. The efficacy of motivational interviewing: a meta-analysis of controlled clinical trials. Journal of consulting and clinical psychology 2003 Oct;71(5 ):843 –61.  Back to cited text no. 91
    
92.
Kim JU. A reality therapy group counseling program as an Internet addiction recovery method for college students in Korea. International Journal of Reality Therapy 2007 Spr ;26(2 ):3-9.  Back to cited text no. 92
    
93.
Kim JU. The effect of a R/T group counseling program on the Internet addiction level and self-esteem of Internet addiction university students. International Journal of Reality Therapy. 2008 Spr; 27(2):4-12.  Back to cited text no. 93
    
94.
Twohig MP, Crosby JM. Acceptance and Commitment Therapy as a treatment for problematic Internet pornography viewing. Behavior Therapy 2010 Sep;41(3 ):285-95  Back to cited text no. 94
    
95.
Peukert P, Sieslack S, Barth G, Batra A. Internet- and computer game addiction: Phenomenology, comorbidity, etiology, diagnostics and therapeutic implications for the addictives and their relatives. Psychiatrische Praxis. 2010 Jul;37(5):219-24.  Back to cited text no. 95
    
96.
Meyers RJ, Miller WR, Smith JE. Community reinforcement and family training (CRAFT) In: Meyers RJ Miller WR, editors. A community reinforcement approach to addiction treatment. New York, NY: Cambridge University Press; US; 2001. pp. 147-60.  Back to cited text no. 96
    
97.
Gupta S, Maheshwari SK, Sabith T. Effectiveness of life skills training on self esteem and readiness to change drug use behavior among school drop out adolescent drug users. Indian Journal of Psychiatric Nursing. 2012; 3:32-5.  Back to cited text no. 97
    
98.
Shaw M, Black D. Internet addiction: definition, assessment, epidemiology and clinical management. C N S Drugs 2008 ;22(5):353-65.  Back to cited text no. 98
    
99.
Kalke J, Raschke P. Learning by doing: ‘Initiated abstinence’, a school-based programme for the prevention of addiction: Results of an evaluation study.Eur Addict Res 2004; 10:88-94.  Back to cited text no. 99
    
100.
Shek DTL, Tang VMY & Lo CY: Evaluation of an Internet addiction treatment program for Chinese adolescents in Hong Kong. Adolescence 2009; 44:359-73.  Back to cited text no. 100
    
101.
Twohig MP, Crosby JM. Acceptance and Commitment Therapy as a treatment for problematic Internet pornography viewing. Behavior Therapy. 2010 Sep;41(3): 285-95.  Back to cited text no. 101
    
102.
Zhu TM, Li H, Jin RJ, Zheng Z, Luo Y, Ye H, Zhu HM. Effects of electro acupuncture combined psycho-intervention on cognitive function and event-related potentials P300 and mismatch negativity in patients with internet addiction. Chin J Integr Med 2012; 18:146-51.  Back to cited text no. 102
    
103.
Liu QX, Fang XY, Yan N, Zhou ZK, Yuan XJ, Lan J, Liu CY. Multi familygroup therapy for adolescent Internet addiction: Exploring the under lying mechanisms. Addict Behav 2015; 42:1-8.  Back to cited text no. 103
    
104.
DellOsso B, Hadley S, Allen A, Baker B, Chaplin WF, Hollander E. Escitalopram in the treatment of impulsive- compulsive Internet usage disorder: an open-label trial followed by a double-blind discontinuation phase. Journal of Clinical Psychiatry. 2008 Mar; 69(3):452 –6.  Back to cited text no. 104
    
105.
Bostwick JM, Bucci JA. Internet sex addiction treated with naltrexone. Mayo Clinic Proceedings. 2008;83(2 ):226 –30.  Back to cited text no. 105
    
106.
Han DH, Lee YS, Na C, Ahn JY, Chung US, Daniels MA. The effect of methylphenidate on Internet video game play in children with attention-deficit/hyperactivity disorder. Comprehensive sychiatry. 2009 May-Jun;50(3):251-6.  Back to cited text no. 106
    
107.
Han DH, Hwang JW, Renshaw PF. Bupropion sustained release treatment decreases craving for video games and cue-induced brain activity in patients with Internet video game addiction. Experimental and Clinical Psychopharmacology 2010 Aug;18(4):297-304.  Back to cited text no. 107
    
108.
Orzack MH, Orzack DS. Treatment of computer addicts with complex co-morbid psychiatric disorders. Cyber psychology & Behavior 1999; 2(5 ):465 –73.  Back to cited text no. 108
    
109.
Orzack MH, Voluse AC, Wolf D, Hennen J. An ongoing study of group treatment for men involved in problematic Internet-enabled sexual behavior. Cyber Psychology & Behavior 2006 Jun;9(3 ):348-60.  Back to cited text no. 109
    
110.
Fang-ru Y, Wei H. The effect of integrated psychosocial intervention on 52 adolescents with Internet addiction disorder. Chinese Journal of Clinical Psychology 2005 Aug;13(3): 343-5.  Back to cited text no. 110
    
111.
Bai Y, Fan FM. The effects of group counseling on Internet-dependent college students. Chinese Mental Health Journal. 2007;21(4 ):247-50.  Back to cited text no. 111
    
112.
reSTART: Internet Addiction Recovery Program. First detox center for Internet addicts opens its doors: Creates solutions for computer related addictive behaviors. 2009. Available from: http: //www.netaddictionrecovery.com  Back to cited text no. 112
    
113.
Lambert MJ, Morton JJ, Hatfield D, Harmon C, Hamilton S,Reid RC, et al. Administration and Scoring Manual for the OQ-45.2. In American Professional Credentialing Services L.L.C. Brigham Young University 2004.  Back to cited text no. 113
    



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