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

Download Article

DOI: 10.21522/TIJAR.2014.11.02.Art012

Authors : Shilendra Pandey

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.