Opioid Kullanım Bozukluğu Tanılı Hastalarda Problemli İnternet Kullanımı ve İlişkili Faktörler

Yıl 2024, , 1 - 9, 31.03.2024

Neşe Burcu Bal , Bahar Yeşil Örnek

https://doi.org/10.51982/bagimli.1258814

Öz

Amaç: Problemli internet kullanımı, önemli bir halk sağlığı sorunudur. Problemli internet kullanımı olan kişilerin çeşitli maddeleri kötüye kullanma riski önemli ölçüde daha yüksektir. Bu çalışmanın amacı, opioid kullanım bozukluğu tanısı olan kişilerde problemli internet kullanımı düzeyini belirlemek ve opioid kullanım bozukluğu ile problemli internet kullanımı arasındaki ilişkiyi bireysel ve klinik değişiklikler açısından incelemektir.
Yöntem: Opioid kullanım bozukluğu hastaların sosyodemografik anket ve Young İnternet Bağımlılığı Testi (YİBT) uygulandı. YİBT'de ≥50 puan alan hastalar problemli internet kullanımı olarak kabul edildi.
Bulgular: Problemli internet kullanımı sıklığı %24,4 olarak bulunurken, İnternet bağımlılığı sıklığı %1,4 olarak bulundu. Problemli internet kullanımı olan hastalarda problemli internet kullanımı olmayanlara göre daha yüksek işsizlik oranı ve daha düşük aylık gelir düzeyi tespit edildi.
Sonuç: Çalışmanın sonuçları, problemli internet kullanımının opioid kullanım bozukluğu kalıcı hale getirebileceğini veya kronikleştirebileceğini göstermektedir. Önleyici müdahalelerin eklenmesi ve opioid kullanıcılarının problemli internet kullanımı açısından değerlendirilmesi, opioid kullanım bozukluğu tedavisine katkıda bulunabilir.

Anahtar Kelimeler

Problemli İnternet Kullanımı, Opioid Kullanım Bozukluğu, İnternet Bağımlılığı

Destekleyen Kurum

-

Proje Numarası

-

Teşekkür

-

Problematic Internet Use and Related Factors in Patients with Opioid Use Disorder

Öz

Objective: Problematic internet use constitutes a critical public health issue. People with problematic internet use have a significantly higher risk of abusing various substances. The aim of this study was to determine the level of problematic internet use in people diagnosed with opioid use disorder and to examine the relationship between opioid use disorder and problematic internet use in terms of individual and clinical variables.
Method: Sociodemographic questionnaire and Young Internet Addiction Test (YIBT) were administered to patients with opioid use disorder. Patients who scored ≥50 points on the YIBT were considered to have problematic internet use.
Results: The prevalence of problematic internet use was 24.4%, while the prevalence of internet addiction was 1.4%. Patients with problematic internet use had higher unemployment rates and lower monthly income levels than those without problematic internet use.
Conclusion: The results of the study suggest that problematic internet use may perpetuate or chronicize opioid use disorder. Adding preventive interventions and assessing opioid users for problematic internet use may contribute to the treatment of opioid use disorder.

Anahtar Kelimeler

Problematic Internet Use, Opioid Use Disorder, Internet Addiction

Proje Numarası

-

Kaynakça

• Balhara YPS, Mahapatra A, Sharma P, Bhargava R. Problematic internet use among students in South-East Asia: Current state of evidence. Indian J Public Health 2018; 62(3): 197-210.
• Fan B, Wang W, Wang T, et al. Problematic internet use, non-medical use of prescription drugs, and depressive symptoms among adolescents: a large-scale study in China. Int J Environ Res Public Health 2020; 17(3): 774.
• Lanthier-Labonté S, Dufour M, Milot D-M, Loslier J. Is problematic Internet use associated with alcohol and cannabis use among youth? A systematic review. Addict Behav 2020; 106: 106331.
• Hassan T, Alam MM, Wahab A, Hawlader MD. Prevalence and associated factors of internet addiction among young adults in Bangladesh. J Egypt Public Health Assoc 2020; 95(1): 3.
• Qeadan F, Egbert J, English K. Associations between problematic internet use and substance misuse among US college students. Comput Human Behav 2022; 134: 107327.
• Ko CH, Liu GC, Hsiao S, et al. Brain activities associated with gaming urge of online gaming addiction. J Psychiatr Res 2009; 43(7): 739-747.
• Baroni S, Marazziti D, Mucci F, et al. Problematic Internet use in drug addicts under treatment in public rehab centers. World J Psychiatry 2019; 9(3): 55-64.
• Pan YC, Chiu YC, Lin YH. Systematic review and meta-analysis of epidemiology of internet addiction. Neurosci Biobehav Rev 2020; 118: 612-622.
• Spada MM. An overview of problematic Internet use. Addict Behav 2014; 39(1): 3-6.
• Dydyk AM, Jain NK, Gupta M. Opioid use disorder. In: StatPearls. Treasure Island (FL): StatPearls Publishing, 2023.
• Strain EC. Assessment and treatment of comorbid psychiatric disorders in opioid-dependent patients. Clin J Pain 2002; 18(4): 14-27.
• Bassiony MM, Youssif UM, Hussein RA, Saeed M. Psychiatric comorbidity among Egyptian patients with opioid use disorders attributed to tramadol. J Addict Med 2016; 10(4): 262-268.
• Balta OC, Horzum MB. İnternet Bağımlılığı Testi. Eğitim Bilimleri ve Uygulama. 2008; 7(13): 87-102.
• Young KS. Internet addiction: The emergence of a new clinical disorder. Cyberpsychol Behav 1998; 1(3): 237-244.
• United Nations. World Drug Report 2019. Vienna: United Nations Office on Drugs and Crime, 2019.
• Krueger AB. Where have all the workers gone? An inquiry into the decline of the US labor force participation rate. Brookings Pap Econ Act 2017; 2017(2): 1-87.
• Park S, Jeon HJ, Bae JN, et al. Prevalence and psychiatric comorbidities of Internet addiction in a nationwide sample of Korean adults. Psychiatry Investig 2017; 14(6): 879-882.
• Kim BS, Chang SM, Park JE, et al. Prevalence, correlates, psychiatric comorbidities, and suicidality in a community population with problematic Internet use. Psychiatry Res 2016; 244: 249-256.
• Mertens JR, Weisner CM. Predictors of substance abuse treatment retention among women and men in an HMO. Alcohol Clin Exp Res 2000; 24(10): 1525-1533.
• McCloud RF, Okechukwu CA, Sorensen G, Viswanath K. Beyond access: barriers to internet health information seeking among the urban poor. J Am Med Informatics Assoc 2016; 23(6): 1053-1059.
• Masson CL, Chen IQ, Levine JA, et al. Health-related internet use among opioid treatment patients. Addict Behav Rep 2019; 9: 100157.
• Darke S. Pathways to heroin dependence: time to re‐appraise self‐medication. Addiction 2013; 108(4): 659-667.
• Kuss DJ, Griffiths MD. Social networking sites and addiction: Ten lessons learned. Int J Environ Res Public Health 2017; 14(3): 311.
• Islam M, Hossin MZ. Prevalence and risk factors of problematic internet use and the associated psychological distress among graduate students of Bangladesh. Asian J Gambl Issues Public Health. 2016; 6(1): 11.
• Yen JY, Ko CH, Yen CF, et al. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 2007; 41(1): 93-98.
• Liu SJ, Lan Y, Wu L, Yan WS. Profiles of impulsivity in problematic internet users and cigarette smokers. Front Psychol 2019; 10: 772.
• Secades-Villa R, Calafat A, Fernández-Hermida JR, et al. Duration of Internet use and adverse psychosocial effects among European adolescents. Adicciones 2014; 26(3): 247-253.
• Laconi S, Kaliszewska-Czeremska K, Gnisci A, et al. Cross-cultural study of Problematic Internet Use in nine European countries. Comput Human Behav 2018; 84: 430-440.
• Demir B, Özsoy F. Alkol/madde kullanım bozukluğu olan hastalarda laboratuvar parametrelerinin karşılaştırılması. Genel Tıp Dergisi 2021;3 1(4): 360-364.
• Piske M, Zhou H, Min JE, et al. The cascade of care for opioid use disorder: a retrospective study in British Columbia, Canada. Addiction 2020; 115(8): 1482-1493.
• Ha YM, Hwang WJ. Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. Int J Ment Health Addict 2014; 12(5): 660-669.
• Lee YS, Han DH, Kim SM, Renshaw PF. Substance abuse precedes internet addiction. Addict Behav 2013; 38(4): 2022-2025.
• Campbell G, Hall W, Nielsen S. What does the ecological and epidemiological evidence indicate about the potential for cannabinoids to reduce opioid use and harms? A comprehensive review. Int Rev Psychiatry 2018; 30(5): 91-106.
• Ware MA, Fitzcharles MA, Joseph L, Shir Y. The effects of nabilone on sleep in fibromyalgia: results of a randomized controlled trial. Anesth Analg 2010; 110(2): 604-610.
• Ware MA, Wang T, Shapiro S, Robinson A, et al. Smoked cannabis for chronic neuropathic pain: a randomized controlled trial. CMAJ 2010; 182(14): 694-701.
• Cichewicz DL. Synergistic interactions between cannabinoid and opioid analgesics. Life Sci. 2004; 74(11): 1317-1324.
• Jensen B, Chen J, Furnish T, Wallace M. Medical marijuana and chronic pain: a review of basic science and clinical evidence. Curr Pain Headache Rep. 2015; 19: 1-9.
• Gutierrez T, Crystal JD, Zvonok AM, et al. Self-medication of a cannabinoid CB2 agonist in an animal model of neuropathic pain. Pain 2011; 152(9): 1976-1987.
• Tambaro S, Bortolato M. Cannabinoid-related agents in the treatment of anxiety disorders: current knowledge and future perspectives. Recent Pat CNS Drug Discov 2012; 7(1): 25-40.
• Manzo L, Gómez MJ, Callejas-Aguilera JE, et al. Anti-anxiety self-medication induced by incentive loss in rats. Physiol Behav 2014; 123: 86-92.
• Frost MC, Lampert H, Tsui JI, et al. The impact of methamphetamine/amphetamine use on receipt and outcomes of medications for opioid use disorder: a systematic review. Addict Sci Clin Pract 2021; 16(1): 1-25.
• Groshkova T, Stoian T, Cunningham A, et al. Will the current COVID-19 pandemic impact on long-term cannabis buying practices? J Addict Med 2020; 14(4): 13-14.
• Ioannidis K, Hook R, Goudriaan AE, et al. Cognitive deficits in problematic internet use: meta-analysis of 40 studies. Br J Psychiatry 2019; 215(5): 639-646.
• Boysan M, Kuss DJ, Barut Y, et al. Psychometric properties of the Turkish version of the Internet Addiction Test (IAT). Addict Behav 2017; 64: 247-252.