Journals / Addicta: The Turkish Journal on Addictions / 2021 / Cilt: 8 - Sayı: 1

Prevalence of Risk for Substance-Related and Behavioral Addictions Among University Students in Turkey

Pages
35–44
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, screening for addiction risk among youth is important for effective prevention, early diagnosis, and treatment.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to investigate the prevalence of risk for substance-related and behavioral addictions among university students in Turkey.
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Key Findings & Data:In total, 612 students were included in this study, and they completed an online questionnaire consisting of the Fagerström Test for Nicotine Dependence, the Alcohol Use Disorders Identification Test, the Drug Abuse Screening Test, the Smartphone Addiction Scale-Short Version, the Young’s Internet Addiction Test-Short Form, the South Oaks Gambling Screen, and the Burden of Behavioral Addiction Form.
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Conclusion & Impact:In conclusion, screening for addiction risk among youth is important for effective prevention, early diagnosis, and treatment.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

This study aims to investigate the prevalence of risk for substance-related and behavioral addictions among university students in Turkey. In total, 612 students were included in this study, and they completed an online questionnaire consisting of the Fagerström Test for Nicotine Dependence, the Alcohol Use Disorders Identification Test, the Drug Abuse Screening Test, the Smartphone Addiction Scale-Short Version, the Young’s Internet Addiction Test-Short Form, the South Oaks Gambling Screen, and the Burden of Behavioral Addiction Form. Results revealed that the rates of potential alcohol dependence, pathological internet use, and potential smartphone addiction were 2.0%, 11.4%, and 24.7%, respectively. Approximately 0.3% of students reported severe problems related to substance use. The rates of high risk of compulsive shopping, problematic social media use, food addiction, gaming addiction, and sex/pornography addiction were 2.0%, 3.6%, 3.4%, 4.9%, and 5.6%, respectively. The rates of potential alcohol dependence, pathological gambling, gaming addiction, and sex/pornography addiction were found to be higher in men. Mild nicotine addiction, problematic internet use and possible smartphone addiction, food addiction, and gaming addiction rates were higher in the age group of 18 to 24 years. In conclusion, screening for addiction risk among youth is important for effective prevention, early diagnosis, and treatment.

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Cite This Article

ASLAN, E. A., BATMAZ, S., ÇELİKBAŞ, Z., KILINÇEL, O., SAYAR, G. H., ÜNÜBOL, H. (2021). Prevalence of Risk for Substance-Related and Behavioral Addictions Among University Students in Turkey. Addicta: The Turkish Journal on Addictions, Cilt: 8 - Sayı: 1, 35–44. https://ajindex.com/articles/357260

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References (9)

  1. Ait-Daoud, N., Blevins, D., Khanna, S., Sharma, S., Holstege, C. P., & Amin, P. (2019). Women and Addiction: An Update. The Medical clinics of North America, 103(4), 699-711.
  2. Aker, S., Şahin, M. K., Sezgin, S., & Oğuz, G. (2017). Psychosocial Factors Affecting Smartphone Addiction in University Students. Journal of Addictions Nursing, 28(4), 215-219.
  3. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub. American Society of Addiction Medicine (ASAM). (2019). Definition of Addiction. https://www.asam.org/quality-practice/definition-of-addiction.
  4. Becker J. B. (2016). Sex differences in addiction. Dialogues in clinical neuroscience, 18(4), 395-402.
  5. Becker, J. B., McClellan, M. L., & Reed, B. G. (2017). Sex differences, gender and addiction. Journal of Neuroscience Research, 95(1-2), 136- 147. Burrows, T., Kay-Lambkin, F., Pursey, K., Skinner, J., & Dayas, C. (2018). Food addiction and associations with mental health symptoms: a systematic review with meta-analysis. Journal of Human Nutrition and Dietetics, 31(4), 544-572.
  6. Choi, S. W., Kim, D. J., Choi, J. S., Ahn, H., Choi, E. J., Song, W. Y. I., & Youn, H. (2015). Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. Journal of Behavioral Addictions, 4(4), 308-314.
  7. Dalbudak, E. (2016). İnternet bağımlılığında tanı ve tedavi [Diagnosis and treatment of internet addiction]. Psikiyatride Güncel, 6(3), 183- 191. Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H., & Yildirim, F. G. (2013b). Relationship of internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychology, Behavior and Social Networking, 16(4), 272-278.
  8. Davoren, M. P., Demant, J., Shiely, F., & Perry, I. J. (2016). Alcohol consumption among university students in Ireland and the United Kingdom from 2002 to 2014: a systematic review. BMC Public Health, 16, 173. Dayi, A., Gulec, G., & Mutlu, F. (2015). Eskişehir Osmangazi Üniversitesi öğrencilerinde sigara, alkol ve madde kullanım yaygınlığı [Prevalence of tobacco, alcohol and substance use among Eskisehir Osmangazi University students]. Dusunen Adam The Journal of Psychiatry and Neurological Sciences, 28, 309-318.
  9. Demirci, K., Akgonul, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleepquality, depression, and anxiety in university students. Journal of Behavioral Addi