تدوین مدل ساختاری اعتیاد به بازی‌های اینترنتی براساس سیستم‌های بازداری/فعال‌سازی ‏رفتاری با میانجی‌گری استرس ادراک‌شده در نوجوانان پسر

آزادبخت، م.، مومنی، خ.، و یزدانبخش، ک. (1403). مدلی فرگشتی برای سبب‌شناسی اختلال وسواسی جبری: نقش میانجی هیجان‌آگاهی و عدم تحمل بلاتکلیفی در رابطۀ بین ترس‌های کودکی و سیستم‌های مغزی-رفتاری با نشانه‌های اختلال وسواسی جبری در دانش‌آموزان متوسطۀ دوم شهرستان کوهدشت. فصل‌نامه پژوهش‌های کاربردی روانشناختی، 15(3)، 228-205. https://doi.org/10.22059/japr.2023.351150.644447

پهلوان‌پور، پ.، کیانی، ق.، و مروجی، م. (1403). پیش‌بینی اضطراب براساس سیستم‌های مغزی رفتاری با میانجی‌گری اجتناب شناختی و تحمل ابهام در بیماران مبتلا به مولتیپل‌اسکلروزیس. فصلنامه پژوهش‌های نوین روانشناختی، 19(75)، 256-245. https://psychologyj.tabrizu.ac.ir/article_18587.html

سیدموسوی، پ.، پوراعتماد، ح.، و قنبری، س. (1393). ویژگی‌های روان‌سنجی مقیاس نظام‌های بازداری و فعال‌ساز رفتاری در نوجوانان ایرانی: مقایسۀ الگوهای دو و چهار عاملی این مقیاس. فصلنامه علمی و پژوهشی روان‌شناسی کاربردی، 8(4)، 116-96. https://apsy.sbu.ac.ir/article_96192.html

صفایی، م. و شکری، ا. (1393). سنجش استرس در بیماران سرطانی: روایی عاملی مقیاس استرس ادراک شده در ایران. نشریه روان پرستاری، 2(1)، 22-13. http://ijpn.ir/article-1-283-fa.html

عابدین زاده، م.، حقایق، س.، و رییسی، ز. (1401). ارزیابی مدل رفتارهای پرخطر براساس سیستم‌های مغزی-رفتاری و ابعاد تاریک شخصیت با میانجی‌گری توانایی کنترل فکر در دانش‌آموزان دورۀ دوم متوسطه. فصل‌نامه پژوهش‌های کاربردی روانشناختی، 13(4)، 17-1. https://doi.org/10.22059/japr.2023.328357.643937

قادری، ز.، و معینان، د. (1403). ارائۀ مدل پیش‌بینی اعتیاد به اینترنت براساس سیستم مغزی-رفتاری با میانجی‌گری انعطاف‌پذیری شناختی در نوجوانان. نشریه رویش روان‌شناسی، 13(4)، 192-183. http://frooyesh.ir/article-1-4788-fa.html

میرز، ل.، گامست، گ.، و گارینو، ا.ج. (1399). پژوهش چندمتغیری کاربردی (طرح و تفسیر). ترجمۀ حسن پاشا شریفی، ولی الله فرزاد، سیمین دخت رضاخانی، بلال ایزانلو و مجتبی، حبیبی، تهران: نشر رشد (تاریخ انتشار به زبان اصلی 2016).

هرنگ‌زا، م.، حاجلو، ن.، نریمانی، م.، و بشرپور، س. (1402). طراحی و آزمون مدل ساختاری اعتیاد به بازی‌های آنلاین براساس سیستم‌های مغزی-‌رفتاری و باورهای فراشناختی. مجله علمی پژوهان، 21(4)، 275-263. http://dx.doi.org/10.61186/psj.21.4.263

هرنگ‌زا، م.، حاجلو، ن.، نریمانی، م.، و بشرپور، س. (1403). طراحی و آزمون مدل ساختاری اعتیاد به بازی‌های آنلاین براساس سیستم‌های مغزی-رفتاری: نقش میانجی‌گر همجوشی شناختی و اجتناب تجربه‌ای. مجله روان‌شناسی و روانپزشکی شناخت، 11(2)، 62-46. http://dx.doi.org/10.32598/shenakht.11.2.46

وحیدی، م.، زمانزاده، و.، موسوی، س.، جانانی، ر.، و نامدار، ح. (1398). روایی‌سنجی نسخۀ فارسی آزمون اختلال بازی اینترنتی-۲۰ در بین دانشجویان دانشگاه علوم پزشکی تبریز. مجله دانشگاه علوم پزشکی تربت حیدریه، 7(1)، 26-15. http://jms.thums.ac.ir/article-1-660-fa.html

کردنوقابی، ر.، و ویسی، س. (1403). ارزیابی مدل خردمندی براساس هوش موفق و بهزیستی روان‌شناختی با نقش میانجی آفرینندگی در دانش‌آموزان. پژوهش‌نامه روانشناسی مثبت، 10(3)، 29-50. https://doi.org/10.22108/ppls.2025.139681.2473

ویسی، س.، کردنوقابی، ر.، ایمانی، ص.، و کاشفی، ف. (1403الف). خصوصیات روان‌سنجی نسخۀ فارسی مقیاس کوتاه شدۀ خردمندی در بزرگسالان ایرانی. فصل‌نامه پژوهش‌های کاربردی روانشناختی، 16(3)، 179-161.  https://doi.org/10.22059/japr.2024.361950.644670

ویسی، س.، کاشفی، ف.، و ایمانی، ص. (1403ب). برازش روابط علّی- ساختاری هوش موفق با خردمندی با میانجی‌گری هوش موسیقیایی در نوازندگان پیانو. روان‌شناسی اجتماعی، 14(54)، 14-1. https://doi.org/10.22034/spr.2024.424119.1877

References

Abedin Zadeh, M., Haghayegh, S. A., & Reisi, Z. (2022). Model evaluation of risky behaviors according to cerebral-behavioral systems and the dark triad of personality with the mediation of thought control ability in secondary high school students. Journal of Applied Psychological Research, 13(4), 1-17. https://doi.org/10.22059/japr.2023.328357.643937 (In Persian)

Almutairi, T. A., Almutairi, K. S., Ragab, K. M., Nourelden, A. Z., … & Collaboration Team Albazee Ebraheem Klib Mohamad Hassan Zeina Mohammed. (2023). Prevalence of internet gaming disorder and its association with psychiatric comorbidities among a sample of adults in three Arab countries. Middle East Current Psychiatry, 30(1), 8-12. https://doi.org/10.1186%2Fs43045-023-00280-x

American Psychiatric Association. (2022). Diagnostic and Statistical Manual of Mental Disorders: DSM-5-TR, (5th, text revision ed). Washington, DC: American Psychiatric Association Publishing. https://www.psychiatry.org/psychiatrists/practice/dsm

Andrade, L. I., Viñán-Ludeña, M. S., & Alvarado, J. (2022). Psychometric validation of the internet gaming disorder-20 test among ecuadorian teenagers and young people. International Journal of Environmental Research and Public Health, 19(9), 1-9. https://doi.org/10.3390/ijerph19095109

Azadbakht, M., Momeni, K., & Yazdanbakhsh, K. (2024). An evolutionary model for the etiology of obsessive-compulsive disorder: The mediating role of emotional awareness and uncertainty intolerance in the relationship between childhood fears and behavioral brain systems with obsessive-compulsive disorder in secondary school students of Kouhdasht city. Journal of Applied Psychological Research, 15(3), 205-228. https://doi.org/10.22059/japr.2023.351150.644447 (In Persian)

Buecker, S., Maes, M., Denissen, J. J., & Luhmann, M. (2020). Loneliness and the big five personality traits: A meta‐analysis. European Journal of Personality, 34(1), 8-28. http://dx.doi.org/10.31234/osf.io/fx5bq

Burkauskas, J., Griskova-Bulanova, I., Đorić, A., Balhara, Y. P. S., ... & Stevanovic, D. (2022). Association of internet gaming disorder symptoms with anxiety and depressive symptoms and substance use: An international cross-sectional study. Middle East Current Psychiatry, 29(1), 14-25. https://doi.org/10.1186/s43045-022-00180-6

Canale, N., Marino, C., Griffiths, M. D., Scacchi, L., Monaci, M. G., & Vieno, A. (2019). The association between problematic online gaming and perceived stress: The moderating effect of psychological resilience. Journal of Behavioral Addictions, 8(1), 174-180. https://doi.org/10.1556%2F2006.8.2019.01

Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67(2), 319-325. http://dx.doi.org/10.1037/0022-3514.67.2.319

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(2), 385-396. https://www.jstor.org/stable/2136404

Dong, H., Zheng, H., Wang, M., Ye, S., & Dong, G. H. (2022). The unbalanced behavioral activation and inhibition system sensitivity in internet gaming disorder: Evidence from resting-state Granger causal connectivity analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 119(1), 1-10. https://doi.org/10.1016/j.pnpbp.2022.110582

Espinoza Oyarce, D. A., Burns, R., Butterworth, P., & Cherbuin, N. (2021). Bridging classical and revised reinforcement sensitivity theory research: A longitudinal analysis of a large population study. Frontiers in Psychology, 12(1), 1-10. https://doi.org/10.3389/fpsyg.2021.737117

Forte, G., Favieri, F., Casagrande, M., & Tambelli, R. (2023). Personality and behavioral inhibition/activation systems in behavioral addiction: Analysis of binge-watching. International Journal of Environmental Research and Public Health, 20(2), 1-10. https://doi.org/10.3390/ijerph20021622

Fuentes, P., Barrós-Loscertales, A., Bustamante, J. C., Rosell, P., Costumero, V., & Ávila, C. (2012). Individual differences in the behavioral inhibition system are associated with orbitofrontal cortex and precuneus gray matter volume. Cognitive, Affective, & Behavioral Neuroscience, 12(1), 491-498. https://doi.org/10.3758/s13415-012-0099-5

Gao, L., Zhao, W., Chu, X., Chen, H., & Li, W. (2022). A network analysis of the relationships between behavioral inhibition/activation systems and problematic mobile phone use. Frontiers in Psychiatry, 13(1), 1-10. https://doi.org/10.3389/fpsyt.2022.832933

Ghaderi Z., & Moeinan D. (2024). Presenting a prediction model of internet addiction based on the brain-behavioral system with the mediation of cognitive flexibility in adolescents. Rooyesh, 13(4), 183-192. http://frooyesh.ir/article-1-4788-fa.html (In Persian)

Herangza, M., Hajloo, N., Narimani, M., & Basharpoor, S. (2023). Designing and testing the structural model of addiction to online games based on brain-behavioral systems and metacognitive beliefs. Pajouhan Scientific Journal, 21(4), 263-275. http://dx.doi.org/10.61186/psj.21.4.263 (In Persian)

Herangza, M., Hajloo, N., Narimani, M., & Basharpoor, S. (2024). Designing and testing the structural model of online games addiction based on brain-behavioral systems: The mediating role of cognitive fusion and experiential avoidance. Shenakht Journal of Psychology and Psychiatry, 11(2), 46-62. http://dx.doi.org/10.32598/shenakht.11.2.46 (In Persian)

Ide, J. S., Li, H. T., Chen, Y., Le, T. M., Li, C. S., Zhornitsky, S., & Li, C. S. R. (2020). Gray matter volumetric correlates of behavioral activation and inhibition system traits in children: An exploratory voxel-based morphometry study of the ABCD project data. Neuroimage, 220(1), 1-10. https://doi.org/10.1016/j.neuroimage.2020.117085

Ito, R., Kobayashi, N., Yokoyama, S., Irino, H., Takebayashi, Y., & Suzuki, S. I. (2019). Interaction effects of behavioral inhibition system/behavioral activation system and cost/probability biases on social anxiety. Frontiers in Psychology, 10(1), 1-10. https://doi.org/10.3389/fpsyg.2019.02536

Kirkham, E. J., & Huggins, C. F. (2024). The effect of school bullying on pupils’ perceived stress and wellbeing during the Covid-19 pandemic: A longitudinal study. Journal of Child & Adolescent Trauma, 17(1), 53-60. https://doi.org/10.1007/s40653-022-00509-7

Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.

Kordnoghabi, R., & Veisi, S. (2024). Developing a model of wisdom based on successful intelligence and psychological well-being in students: The mediating role of creativity. Positive Psychology Research, 10(3), 29-50. https://doi.org/10.22108/ppls.2025.139681.2473 (In Persian)

Kuan, C. S., Liu, Q. Y., Xu, G. M., Zhou, H. Y., Nie, J. H., & Yan, C. (2024). Diminished hedonic capacity in social activities as a mediator of the link between dysfunctional behavioral activation system and depressive symptoms. Frontiers in Psychiatry, 15(1), 1-10. https://doi.org/10.3389/fpsyt.2024.1337847

Kumari, R., Ranjan, J. K., & Verma, S. (2024). Psychometric properties of the hindi version of the behavioral inhibition system/behavioral activation system scale. Psychological Test Adaptation and Development, 5(1), 1-10. https://doi.org/10.1027/2698-1866/a000069

Lin, P. C., Yen, J. Y., Lin, H. C., Chou, W. P., Liu, T. L., & Ko, C. H. (2021). Coping, resilience, and perceived stress in individuals with internet gaming disorder in Taiwan. International Journal of Environmental Research and Public Health, 18(4), 1-10. https://doi.org/10.3390/ijerph18041771

Lindenberg, K., Kindt, S., & Szász-Janocha, C. (2022). Effectiveness of cognitive behavioral therapy–based intervention in preventing gaming disorder and unspecified internet use disorder in adolescents: A cluster randomized clinical trial. JAMA Network Open, 5(2), 1-10. https://doi.org/10.1001/jamanetworkopen.2021.48995

Liu, C., Fang, M., Wang, M., Wu, Y., Chen, W., & Cheng, Y. (2024). The effects of peer competition-induced anxiety on massive open online course learning: The mediating role of the behavioral inhibition system. Behavioral Sciences, 14(4), 324-333. https://doi.org/10.3390/bs14040324

Meyers, L., Gamst, G., & Guarino, A. (2016). Applied multivariate research. Translators: Hasanpasha Sharifi, Simin Dukht Reza Khani, Hamid Reza Hassanabadi, Bilal Isanlou and Mojtaba Habibi (Pesian Translate in 2019). Tehran: Roshd Publishing (In Persian)

Mestre-Bach, G., Fernandez-Aranda, F., & Jiménez-Murcia, S. (2022). Exploring internet gaming disorder: An updated perspective of empirical evidence (from 2016 to 2021). Comprehensive Psychiatry, 1(2), 1-10. https://doi.org/10.1016/j.comppsych.2022.152319

Mun, I. B., & Lee, S. (2024). A moderated mediation model of the relationship between academic stress and digital game addiction. Current Psychology, 43(10), 9078-9088. https://doi.org/10.1007/s12144-023-05002-4

Pahlavanpour, P., Kiani, Q., & Moraveji, M. (2024). Predicting anxiety based on brain-behavioral systems with the mediation of cognitive avoidance and ambiguity tolerance in Multiple Sclerosis patients. Journal of Modern Psychological Researches, 19(75), 245-256. https://doi.org/10.22034/jmpr.2024.62299.6273 (In Persian)

Pallavicini, F., Pepe, A., & Mantovani, F. (2022). The effects of playing video games on stress, anxiety, depression, loneliness, and gaming disorder during the early stages of the COVID-19 pandemic: PRISMA systematic review. Cyberpsychology, Behavior, and Social Networking, 25(6), 334-354. https://doi.org/10.1089/cyber.2021.0252

Pape, M., Reichrath, B., Bottel, L., Herpertz, S., Kessler, H., & Dieris-Hirche, J. (2022). Alexithymia and internet gaming disorder in the light of depression: A cross-sectional clinical study. Acta Psychologica, 229(2), 1-10. http://dx.doi.org/10.1016/j.actpsy.2022.103698

Pettorruso, M., Valle, S., Cavic, E., Martinotti, G., di Giannantonio, M., & Grant, J. E. (2020). Problematic Internet Use (PIU), personality profiles and emotion dysregulation in a cohort of young adults: Trajectories from risky behaviors to addiction. Psychiatry Research, 289(1), 1-10. https://doi.org/10.1177/0004867420962851

Pizarro Melendez, G. P., Valero-Jara, V., Acevedo-Hernández, P., & Thomas-Valdés, S. (2024). Impact of polyphenols on stress and anxiety: A systematic review of molecular mechanisms and clinical evidence. Critical Reviews in Food Science and Nutrition, 64(8), 2340-2357. https://doi.org/10.1080/10408398.2022.2122925

Pontes, H. M., Kiraly, O., Demetrovics, Z., & Griffiths, M. D. (2014). The conceptualisation and measurement of DSM-5 internet gaming disorder: The development of the IGD-20 test. PloS One, 9(10), 1-10. https://doi.org/10.1371/journal.pone.0110137

Rajab, A. M., Zaghloul, M. S., Enabi, S., Rajab, T. M., ... & Saquib, N. (2020). Gaming addiction and perceived stress among Saudi adolescents. Addictive Behaviors Reports, 11(1), 1-10. https://doi.org/10.1016/j.abrep.2020.100261

Rosenkranz, T., Müller, K. W., Dreier, M., Beutel, M. E., & Wölfling, K. (2017). Addictive potential of internet applications and differential correlates of problematic use in internet gamers versus generalized internet users in a representative sample of adolescents. European Addiction Research, 23(3), 148-156. https://doi.org/10.1159/000475984

Safaee, M., & Shokri, O. (2014). Assessing stress in cancer patients: Factorial validity of the Perceived Stress Scale in Iran. Iranian Journal of Psychiatric Nursing, 2(1), 13-22. http://ijpn.ir/article-1-283-en.html (In Persian)

Scholten, M. R., van Honk, J., Aleman, A., & Kahn, R. S. (2006). Behavioral inhibition system (BIS), behavioral activation system (BAS) and schizophrenia: Relationship with psychopathology and physiology. Journal of Psychiatric Research, 40(7), 638-645. https://doi.org/10.1016/j.jpsychires.2006.03.005

Serrano-Ibáñez, E. R., Ramírez-Maestre, C., Esteve, R., & López-Martínez, A. E. (2019). The behavioural inhibition system, behavioural activation system and experiential avoidance as explanatory variables of comorbid chronic pain and posttraumatic stress symptoms. European Journal of Psychotraumatology, 10(1), 1-10. https://doi.org/10.1080/20008198.2019.1581013

Seyed Mousavi, P. S., Pouretemad, H. R., & Ghanbari, S. (2015). Psychometric properties of the behavioral inhibition and activation systems scale in Iranian adolescents: Comparison of two factorial models. Applied Psychology, 8(4), 96-116. https://apsy.sbu.ac.ir/article_96192.html (In Persian)

Standen, B., Firth, J., Sumich, A., & Heym, N. (2022). The neural correlates of reinforcement sensitivity theory: A systematic review of the (f) MRI literature. Psychology & Neuroscience, 15(4), 395-422. https://psycnet.apa.org/buy/2022-30298-001

Stevens, M. W., Dorstyn, D., Delfabbro, P. H., & King, D. L. (2021). Global prevalence of gaming disorder: A systematic review and meta-analysis. Australian & New Zealand Journal of Psychiatry, 55(6), 553-568. https://doi.org/10.1177/0004867420962851

Su, W., Han, X., Yu, H., Wu, Y., & Potenza, M. N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Computers in Human Behavior, 113(1), 1-10. https://psycnet.apa.org/doi/10.1016/j.chb.2020.106480

Vahidi, M., Zamanzadeh, V., Musavi, S., Janani, R., & Namdar, H. (2019). (2019). Validation of the Persian version of the internet gaming disorder-20 test among the students of Tabriz University of Medical Sciences. Journal of Torbat Heydariyeh University of Medical Sciences, 7(1), 26-15. http://jms.thums.ac.ir/article-1-660-fa.html (In Persian)

Veisi, S., Kashefi, F., & Imani, S. (2024). Fittness the causal-structural relationships of successful intelligence with wisdom with the mediation of musical intelligence in piano players. Social Psychology Research, 14(54), 1-14. https://doi.org/10.22034/spr.2024.424119.1877 (In Persian)

Veisi, S., Kordnoghabi, R., Imani, S., & Kashefi, F. (2024 a). Psychometric properties of the Persian version Abbreviated Wisdom Scale in Iranian adults. Journal of Applied Psychological Research, 16(3), 161-179. https://doi.org/10.22059/japr.2024.361950.644670 (In Persian)

Ventura-Silva, A. P., Borges, S., Sousa, N., Rodrigues, A. J., & Pêgo, J. M. (2020). Amygdalar corticotropin-releasing factor mediates stress-induced anxiety. Brain Research, 1729(1), 1-10. https://doi.org/10.1016/j.brainres.2019.146622

Wang, Y., Liu, B., Zhang, L., & Zhang, P. (2022). Anxiety, depression, and stress are associated with internet gaming disorder during COVID-19: Fear of missing out as a mediator. Frontiers in Psychiatry, 13(1), 74-84. https://doi.org/10.3389/fpsyt.2022.827519

Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063

Xie, J., Fang, P., Zhang, Z., Luo, R., & Dai, B. (2021). Behavioral inhibition/activation systems and depression among females with substance use disorder: the mediating role of intolerance of uncertainty and anhedonia. Frontiers in Psychiatry, 12(1), 644882. https://doi.org/10.3389/fpsyt.2021.644882

Yang, X., Jiang, X., Wu, A. M., Ma, L., Cai, Y., Wong, K. M., & Lau, J. T. (2023). Validation of the internet gaming disorder symptoms checklist based on the fifth edition of the diagnostic and statistical manual of mental disorders in Chinese adolescents. Child Psychiatry & Human Development, 54(1), 26-33. https://doi.org/10.1007/s10578-021-01213-7

Yen, J. Y., Lin, P. C., Lin, H. C., Lin, P. Y., Chou, W. P., & Ko, C. H. (2022). Association of internet gaming disorder with catechol‐o‐methyltransferase: Role of impulsivity and fun‐seeking. The Kaohsiung Journal of Medical Sciences, 38(1), 70-76. https://doi.org/10.1002/kjm2.12454

Zhang, Z., Lin, Y., Liu, J., Zhang, G., Hou, X., Pan, Z., & Dai, B. (2022). Relationship between behavioral inhibition/activation system and internet addiction among Chinese college students: The mediating effects of intolerance of uncertainty and self-control and gender differences. Frontiers in Public Health, 10(1), 1-10. https://doi.org/10.3389/fpubh.2022.1047036