Analysis of Internet Addiction  Using Internet Addiction Diagnostic Questionnaire (KDAI) among First-Year Medical Students at Cenderawasih University, Papua Province.

Ricky Lazarus Rumboirusi; Izak Yesaya Samay

doi:10.55927/ijar.v5i1.16140

Authors

Ricky Lazarus Rumboirusi Cenderawasih University
Izak Yesaya Samay Cenderawasih University

DOI:

https://doi.org/10.55927/ijar.v5i1.16140

Keywords:

Internet Addiction, KDAI, Medical Students, Papua

Abstract

Internet addiction (IA) is an addiction that is increasingly experienced by the community, especially teenagers and young adults. Papua, as a disadvantaged region, faces various challenges, ranging from infrastructure backwardness, high illiteracy rates, and low quality of education. On the other hand, internet access is improving.The purpose of this study was to examine internet addiction specifically among first-year students at the Cenderawasih Faculty of Medicine, who are under 20 years of age. Of course, the research respondents complied with the provisions of the Internet Addiction Diagnostic Questionnaire (KDAI). This study found that 26.3% of students experienced internet addiction. Students need internet guidance or a supportive learning system to minimize the risk of internet addiction (IA).

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References

Aryani, L. N. A., & Lesmana, C. B. J. (2019). Neuropsychiatric factors and gene polymorphisms in internet addiction. International Journal of Health & Medical Sciences, 2, 39–44.

Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience and Biobehavioral Reviews, 104, 1–10.

Kilian, C., Bröckel, K. L., Overmeyer, R., Dieterich, R., & E. T. (n.d.). Neural correlates of response inhibition and performance monitoring in binge watching. International Journal of Psychophysiology, 158, 1–8.

Communication, S. (2024). Integrating serious games into the medical curriculum: Recognizing challenges and exploring remedies. Journal of Pharmacy & Bioallied Sciences, 2944–2946.

Hahn, E., Reuter, M., Spinath, F. M., & Montag, C. (2017). Internet addiction and its facets: The role of genetics and the relation to self-directedness. Addictive Behaviors, 65, 137–146.

Id, K. S., Suwartono, C., Wiwie, M., Id, N., Id, J. M., Damayanti, R., & Id, T. W. (2021). Validation study of the Indonesian internet addiction test among adolescents. PLOS ONE, 1–15.

Ioannidis, K., Hook, R., Goudriaan, A. E., Vlies, S., Fineberg, N. A., Grant, J. E., & Chamberlain, S. R. (2019). Cognitive deficits in problematic internet use: Meta-analysis of 40 studies. British Journal of Psychiatry, 215(5), 639–646.

Koob, G. F., & Volkow, N. D. (2016). Neurobiology of addiction: A neurocircuitry analysis. The Lancet Psychiatry, 3(8), 760–773.

Siste, K. (n.d.). Basic concepts and risk factors of behavioral addiction (internet addiction). University of Indonesia Publisher.

Lai, C., Altavilla, D., Mazza, M., Scappaticci, S., Tambelli, R., Aceto, P., Luciani, M., Corvino, S., Martinelli, D., Alimonti, F., & Tonioni, F. (2017). Neural correlates of internet use in patients undergoing psychological treatment for internet addiction. Journal of Mental Health, 26(3), 276–282.

Luk, T. T., Wang, M. P., Shen, C., Wan, A., Chau, P. H., Oliffe, J., Viswanath, K., Chan, S. S. C., & Lam, T. H. (2018). Short version of the smartphone addiction scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates. Journal of Behavioral Addictions, 7(4), 1157–1165.

Ma, Y., Li, Y., Xie, X., Zhang, Y., Ammerman, B. A., Lewis, S. P., Chen, R., & Yu, Y. (2023). The role of depressive symptoms and social support in the association of internet addiction with non-suicidal self-injury among adolescents: A cohort study in China.

Moretta, T., & Buodo, G. (2021). Response inhibition in problematic social network sites use: An ERP study. Cognitive, Affective and Behavioral Neuroscience, 21(4), 868–880.

Müller, S. M., Wegmann, E., Arías, M. G., Brotóns, E. B., Giráldez, C. M., & Brand, M. (2022). Decision making and risk propensity in individuals with tendencies towards specific internet-use disorders. Brain Sciences, 12(2).

Nasser, N. S., Sharifat, H., Rashid, A. A., Hamid, S. A., Rahim, E. A., Loh, J. L., Ching, S. M., Hoo, F. K., Ismail, S. I. F., Tyagi, R., Mohammad, M., & Suppiah, S. (2020). Cue-reactivity among young adults with problematic Instagram use in response to Instagram-themed risky behavior cues: A pilot fMRI study. Frontiers in Psychology, 11, 1–13.

Nasser, N. S., Ibrahim, B., Sharifat, H., Rashid, A. A., & Suppiah, S. (2019). Incremental benefits of EEG-informed fMRI in the study of disorders related to meso-corticolimbic dopamine pathway dysfunction: A systematic review. Journal of Clinical Neuroscience, 65, 87–99.

Noël, X., Van Der Linden, M., & Bechara, A. (2006). The neurocognitive mechanisms of decision-making, impulse control, and loss of willpower to resist drugs. Psychiatry (Edgmont), 3(5), 30–41.

Paulus, F. W., Ohmann, S., von Gontard, A., & Popow, C. (2018). Internet gaming disorder in children and adolescents: A systematic review. Developmental Medicine and Child Neurology, 60(7), 645–659.

Sharifat, H., & Suppiah, S. (2021). Electroencephalography-detected neurophysiology of internet addiction disorder and internet gaming disorder in adolescents: A review. Medical Journal of Malaysia, 76(3), 401–413.

Shek, D. T. L., Zhu, X., & Ma, C. M. S. (2018). The influence of parental control and parent-child relational qualities on adolescent internet addiction: A 3-year longitudinal study in Hong Kong. Frontiers in Psychology, 9.

Siste, K. (2023). Basic concepts and risk factors of behavioral addiction (internet addiction). University of Indonesia Publishing.

Siste, K., Hana, E., Sen, L. T., Christian, H., Siswidiani, L. P., Limawan, A. P., & Murtani, B. J. (2020). The impact of physical distancing and associated factors towards internet addiction among adults in Indonesia during the COVID-19 pandemic. Frontiers in Psychiatry, 11, 1–11.

Siste, K., Hanafi, E., Sen, L. T., Murtani, B. J., Christian, H., Limawan, A. P., Siswidiani, L. P., & Adrian. (2021). Implications of COVID-19 and lockdown on internet addiction among adolescents: Data from a developing country. Frontiers in Psychiatry, 12, 1–11.

Siste, K., Wiguna, T., Bardasono, S., Sekartini, R., Pandelaki, J., Sarasvita, R., Suwartono, C., Murtani, B. J., Damayanti, R., Christian, H., Sen, L. T., & Nasrun, M. W. (2021). Internet addiction in adolescents: Development and validation of Internet Addiction Diagnostic Questionnaire (KDAI). Psychiatry Research, 298, 113829.

Antons, S., & Brand, M. (2018). Trait and state impulsivity in males with tendency towards internet pornography use disorder. Addictive Behaviors, 79, 171–177.

Sulelino, R., Chen, Y., & Henning, M. (2020). Exploring Papuan medical students’ learning experiences whilst studying in Indonesia.

Tseng, Y. L., Su, Y. K., Chou, W. J., Miyakoshi, M., Tsai, C. S., Li, C. J., Lee, S. Y., & Wang, L. J. (2024). Neural network dynamics and brain oscillations underlying aberrant inhibitory control in internet addiction. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 946–955.

Volkow, N. D., & Morales, M. (2015). The brain on drugs: From reward to addiction. Cell, 162(4), 712–725.

Wang, J., Hao, Q. H., Tu, Y., Peng, W., Wang, Y., Li, H., & Zhu, T. M. (2022). Assessing the association between internet addiction disorder and health risk behaviors among adolescents and young adults: A systematic review and meta-analysis. Frontiers in Public Health, 10, 1–11.

Wegmann, E., Müller, S. M., Turel, O., & Brand, M. (2020). Interactions of impulsivity, general executive functions, and specific inhibitory control explain symptoms of social-networks-use disorder: An experimental study. Scientific Reports, 10(1), 1–12.

Zhou, Z., Yuan, G., & Yao, J. (2012). Cognitive biases toward internet game-related pictures and executive deficits in individuals with an internet game addiction. PLOS ONE, 7(11).

Zhou, Z., Zhu, H., Li, C., & Wang, J. (2014). Internet-addicted individuals share impulsivity and executive dysfunction with alcohol-dependent patients. Frontiers in Behavioral Neuroscience, 8, 1–8.