A Cross Sectional Study in Indian Adult Population to Assess the Internet Addiction and its Effect on the Quality of Sleep

Abstract:
In contemporary society, the internet has
become an integral aspect of daily life, alongside a concerning rise in
internet addiction characterized by an overwhelming compulsion to engage with
online activities. This phenomenon is particularly prevalent among the youth population
in India, leading to various physical, mental, and emotional challenges.
Despite its widespread impact, internet addiction has yet to be officially
recognized as a disorder in diagnostic manuals like the DSM. A comprehensive
meta-analysis spanning 80 studies across 31 countries revealed a global
prevalence of internet addiction at 6%. In the Indian context, a study
sponsored by the Indian Council of Medical Research surveyed 2,755 adults aged
18-65, identifying a prevalence rate of approximately 1.3%. Examining a sample
of 303 adult participants in India, it was found that 33.3% exhibited signs of
internet addiction, with 1.7% classified as severely addicted, 10.2% as
moderately addicted, and 20.8% as mildly addicted. Notably, the majority of
severely addicted individuals were in the 26-35 age group, while addiction
rates were higher among males compared to females [1, 2]. Furthermore, analysis
revealed a correlation between internet addiction and poor sleep quality,
affecting 22.6% of addicted individuals, particularly males aged 18-25 and
26-35. These findings underscore the urgent need for further research and
interventions to address the growing issue of internet addiction and its
associated health impacts.
References:
[1].
Leung, L. (2004). Net-Generation Attributes
and Seductive Properties Oof the Internet as Predictors of Online Activities and
Internet Addiction. CyberPsychology & Behavior, 7(3), 333-348.
[2].
Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih,
C. C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The Risk Factors of
Internet Addiction—A Survey of University Freshmen. Psychiatry Research,
167(3), 294-299.
[3].
Kuss, D. J., &
Lopez-Fernandez, O. (2016). Internet Addiction and Problematic Internet Use: A
Systematic Review of Clinical Research. World Journal of Psychiatry,
6(1), 143.
[4].
Weinstein, A., &
Lejoyeux, M. (2010). Internet Addiction or Excessive Internet Use. The American
Journal of Drug and Alcohol Abuse, 36(5), 277-283.
[5].
Young, K. S., & De
Abreu, C. N. (Eds.). (2010). Internet Addiction: A Handbook and Guide to
Evaluation and Treatment. John Wiley & Sons.
[6].
Bener, A., Al-Mahdi, H. S.,
Ali, A. I., Al-Nufal, M., Vachhani, P. J., & Tewfik, I. (2011). Obesity and
low vision as a result of excessive Internet use and Television Viewing. International
Journal of Food Sciences and Nutrition, 62(1), 60-62.
[7].
Mythily, S., Qiu, S., &
Winslow, M. (2008). Prevalence and Correlates of Excessive Internet use Among
Youth in Singapore. Annals Academy of Medicine Singapore, 37(1),
9.
[8].
Beutel, M. E., Brähler, E.,
Glaesmer, H., Kuss, D. J., Wölfling, K., & Müller, K. W. (2011). Regular
and Problematic Leisure-Time Internet Use in the Community: Results from a
German Population-Based Survey. Cyberpsychology, Behavior, and Social Networking,
14(5), 291-296.
[9].
Sung, J., Lee, J., Noh, H.
M., Park, Y. S., & Ahn, E. J. (2013). Associations Between the Risk of
Internet Addiction and Problem Behaviors Among Korean Adolescents. Korean
Journal of Family Medicine, 34(2), 115.
[10].
Poli, R., & Agrimi, E.
(2012). Internet Addiction Disorder: Prevalence in an Italian Student Population.
Nordic Journal of Psychiatry, 66(1), 55-59.
[11].
Ha, J. H., Yoo, H. J., Cho,
I. H., Chin, B., Shin, D., & Kim, J. H. (2006). Psychiatric Comorbidity
Assessed in Korean Children and Adolescents Who Screen Positive for Internet
Addiction. Journal of Clinical Psychiatry, 67(5), 821.
[12].
Ko, C. H., Yen, J. Y., Chen,
C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive Values of Psychiatric
Symptoms for Internet Addiction in Adolescents: A 2-Year Prospective Study. Archives
of Pediatrics & Adolescent Medicine, 163(10), 937-943.
[13].
Morrison, C. M., & Gore,
H. (2010). The Relationship Between Excessive Internet Use and Depression: A
Questionnaire-Based Study of 1,319 Young People and Adults. Psychopathology,
43(2), 121-126.
[14].
Canan, F., Ataoglu, A.,
Ozcetin, A., & Icmeli, C. (2012). The Association Between Internet
Addiction and Dissociation Among Turkish College Students. Comprehensive Psychiatry,
53(5), 422-426.
[15].
Kheyrkhah, F. G. H. A. B. E.
L. I., GHABELI, J. A., & Gouran, A. (2010). Internet addiction, prevalence
and epidemiological features in Mazandaran Province, Northern Iran.
[16].
Demetrovics, Z., Szeredi,
B., & Rózsa, S. (2008). The Three-Factor Model of Internet Addiction: The
Development of the Problematic Internet Use Questionnaire. Behavior Research
Methods,40, 563-574.
[17].
Bergmark, K. H., Bergmark,
A., & Findahl, O. (2011). Extensive Internet Involvement—Addiction or
Emerging Lifestyle? International Journal of Environmental Research and
Public Health, 8(12), 4488-4501.
[18].
Lam, L. T., Peng, Z., Mai,
J., & Jing, J. (2009). The Association Between Internet Addiction and
Self-Injurious Behaviour Among Adolescents. Injury Prevention, 15(6),
403-408.
[19].
Bakken, I. J., Wenzel, H.
G., Götestam, K. G., Johansson, A., & Øren, A. (2009). Internet Addiction
Among Norwegian Adults: A Stratified Probability Sample Study. Scandinavian Journal
of Psychology, 50(2), 121-127.
[20].
Lin, M. P., Ko, H. C., &
Wu, J. Y. W. (2011). Prevalence and Psychosocial Risk Factors Associated with
Internet Addiction Iin a Nationally Representative Sample of College Students in
Taiwan. Cyberpsychology, Behavior, and Social Networking, 14(12),
741-746.
[21].
Cheng, C., & Li, A. Y.
L. (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.
[22].
Sharma, M. K., Rao, G. N.,
Benegal, V., Thennarasu, K., & Thomas, D. (2017). Technology Addiction
Survey: An Emerging Concern for Raising Awareness and Promotion of Healthy Use of
Technology. Indian Journal of Psychological Medicine, 39(4), 495-499.
[23].
Sharma, A., & Sharma, R.
(2018). Internet Addiction and Psychological Well-Being Among College Students:
A Cross-Sectional Study from Central India. Journal of Family Medicine and
Primary Care, 7(1), 147.
[24].
Rajanna, S. H., &
Sharma, M. K. (2016). Exploration of Technology Use Pattern Among Teenagers and
Iits Relationship with Psychological Variables. ASEAN Journal of Psychiatry,
239-249.
[25].
Guan, S. S. A., &
Subrahmanyam, K. (2009). Youth Internet Use: Risks and Opportunities. Current
Opinion in Psychiatry, 22(4), 351-356.
[26].
Dell Osso, B., Hadley, S.,
Allen, A., Baker, B., Chaplin, W. F., & Hollander, E. (2008). 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, 69(3), 452.
[27].
Choi, K., Son, H., Park, M., Han, J., Kim,
K., Lee, B., & Gwak, H. (2009). Internet Overuse and Excessive Daytime
Sleepiness in Aadolescents. Psychiatry and Clinical Neurosciences, 63(4),
455-462.
[28]. Greenfield, D. N. (2000). Suchtfalle
Internet: Hilfe für Cyberfreaks, Netheads und ihre Partner. Walter
[29].
Lanjun, Z. (2009). The Applications of Group
Mental Therapy and Sports Exercise Prescriptions in the Intervention of
Internet Addiction Disorder. Psychological Science (China),
32(3), 738-41.
[30].
Burke, B. L., Arkowitz, H.,
& Menchola, M. (2003). The Efficacy of Motivational Interviewing: A
Meta-Analysis of Controlled Clinical Trials. Journal of Consulting and
Clinical Psychology, 71(5), 843.
[31].
Miller, N. H. (2010). Motivational
Interviewing as a Prelude to Coaching in Healthcare Settings. Journal of
Cardiovascular Nursing, 25(3), 247-251.
[32].
Grill J. D, Bateman R. J, & Buckles V. A
(2015). Survey of Attitudes Toward Clinical Trials and Genetic Disclosure in
Autosomal Dominant Alzheimer’s Disease. Alzheimer's Research & Therapy.
7: 50.
[33].
Smith, S. K., Selig, W., Harker, M., Roberts,
J. N., Hesterlee, S., Leventhal, D., & Abernethy, A. P. (2015). Patient
Engagement Practices in Clinical Research Among Patient Groups, Industry, and Academia
in the United States: A Survey. PloS ONE, 10(10), e0140232.
[34].
Marcano Belisario JS, Jamsek J, Huckvale K,
O'Donoghue J, Morrison CP, & Car J. (2015). Comparison of Self-Administered
Survey Questionnaire Responses Collected Using Mobile Apps Versus Other
Methods. Cochrane Database of Systematic Reviews, Issue 7. Art. No.:
MR000042.
[35].
Young, K. S. (1999). Internet Addiction:
Symptoms, Evaluation, And Treatment. Innovations in Clinical Practice [serial
on the Internet]. 1999; 17.
[36].
Sancho-Domingo, C.,
Carballo, J. L., Coloma-Carmona, A., & Buysse, D. J. (2021). Brief Version
of the Pittsburgh Sleep Quality Index (B-PSQI) and Measurement Invariance
Across Gender and Age in a Population-Based Sample. Psychological Assessment,
33(2), 111.
[37].
Goel, D., Subramanyam, A., & Kamath, R.
(2013). A Study on the Prevalence of Internet Addiction and its Association with
Psychopathology in Indian Adolescents. Indian Journal of Psychiatry, 55(2),
140.
[38].
Eliacik, K., Bolat, N.,
Koçyiğit, C., Kanik, A., Selkie, E., Yilmaz, H., . & Dundar, B. N. (2016).
Internet Addiction, Sleep and Health-Related Life Quality Among Obese
Individuals: A Comparison Study of the Growing Problems in Adolescent Health. Eating
and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 21, 709-717.
[39].
Savci, M., & Aysan, F.
(2016). Relationship Between Impulsivity, Social Media Usage and loneliness. Educational
Process: International Journal, 5(2), 106.
[40].
Andhi, N., Syed, A. N.,
& Saffura, A. (2022). A Cross-Sectional Study on Internet Addiction
Disorder and Its Association with Sleep Quality in Young Adults. Annals of
Indian Psychiatry, 6(1), 95-98.
[41].
Tamura, H., Nishida, T., Tsuji, A., &
Sakakibara, H. (2017). Association Between Excessive Use of Mobile Phone and
Insomnia and Depression Among Japanese Adolescents. International Journal of
Environmental Research and Public Health, 14(7), 701.
[42].
Thomée, S., Eklöf, M.,
Gustafsson, E., Nilsson, R., & Hagberg, M. (2007). Prevalence of Perceived
Stress, Symptoms of Depression and Sleep Disturbances in Relation to
Information and Communication Technology (ICT) Use Among Young Adults–An
Explorative Prospective Study. Computers In Human Behavior, 23(3),
1300-1321
[43].
Nuutinen, T., Roos, E., Ray,
C., Villberg, J., Välimaa, R., Rasmussen, M., & Tynjälä, J. (2014).
Computer Use, Sleep Duration and Health Symptoms: A Cross-Sectional Study of
15-Year Olds in Three Countries. International Journal of Public Health,
59, 619-628.