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Volume 25, Issue 159 (5-2026)                   Journal of Psychological Science 2026, 25(159): 1-21 | Back to browse issues page


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Hoseinlou M, Jadidi H, Jalili Shishavan A. (2026). Structural Model of Social Media Addiction based on Psychological Distress and Alexithymia, with the Mediating Role of Difficulties in Cognitive Emotion Regulation among University Students. Journal of Psychological Science. 25(159), : 19 doi:10.61186/jps.25.159.19
URL: http://psychologicalscience.ir/article-1-2978-en.html
Department of Educational Psychology, Islamic Azad University, Sa.C., Sanandaj, Iran. , hjadidi95@iausdj.ac.ir
Abstract:   (268 Views)
Background: Alongside its benefits, internet use can pave the way for addiction among university students. Research indicates that psychological distress and alexithymia have a significant impact on social media addiction in students. Furthermore, difficulties in emotion regulation have been cited as a key factor in the development of internet addiction.
Aims: The present study aimed to investigate the structural model of social media addiction based on psychological distress and alexithymia, with a focus on the mediating role of difficulties in emotion regulation among university students.
Methods: This was a basic research study employing a descriptive-correlational design based on Structural Equation Modeling(SEM). The statistical population comprised all undergraduate students at the Islamic Azad University, North Tehran Branch, during the 2024-2025 academic year. A sample of 403 students was selected via multi-stage cluster sampling. Participants completed the Mobile-Based Social Media Addiction Scale (Khajehahmadi, 2016), the Depression, Anxiety, and Stress Scale (DASS-21; Lovibond & Lovibond, 1995), the Toronto Alexithymia Scale (TAS-20; Bagby, Parker, & Taylor, 1994), and the Difficulties in Emotion Regulation Scale (DERS; Gratz & Roemer, 2004). Data were analyzed using SEM with SPSS27 and AMOS26 software.
Results: The results from the structural equation modeling showed that the proposed model explained 25% of the variance in social media addiction. The path analysis indicated that difficulties in cognitive emotion regulation played a fully significant mediating role. Specifically, the indirect paths from psychological distress (including anxiety with a coefficient of β=0/066, stress with β=0/060, and depression with β=0/148) and from alexithymia (β=0/593) to social media addiction were positive and significant (p<0/001).
Conclusion: It can be concluded that students who experienced higher levels of psychological distress and alexithymia, and also struggled with emotion regulation, exhibited greater social media addiction. Therefore, developing preventive programs and effective interventions is crucial to prevent dependency on social media.
Article number: 19
Full-Text [PDF 1294 kb]   (86 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/05/31 | Accepted: 2025/08/11 | Published: 2026/05/22

References
1. بخشنده سجاد، امیررضا؛ خضری مقدم، نوشیروان؛ موسوی نسب، سیدمحمدحسین (1401). مدل علّی طرحواره هیجانی و نارسایی هیجانی با حساسیت اضطرابی از طریق نقش واسطه ای دشواری در تنظیم هیجان در دانش آموزان. پژوهش های نوین روانشناختی. (68). 54-62. https://www.doi.org/10.22034/jmpr.2023.15345
2. بشارت، محمدعلی؛ و بزازیان، سعیده. (1393). بررسی ویژگی‌های روانسنجی پرسشنامه تنظیم هیجان در نمونه‌ای از جامعه ایرانی. دانشکده پرستاری و مامایی، 24(84)، 70-61. https://www.sid.ir/paper/496015/fa
3. بشارت، محمدعلی؛ و گنجی، پویش. (1391). نقش تعدیل کننده سبک‌های دلبستگی در رابطه بین ناگویی هیجانی و رضایت زناشویی. اصول بهداشت روانی، 14(4). https://doi.org/10.22038/jfmh.2012.891
4. بیرانوند، کیانوش؛ بهروزی، ناصر؛ شهنی ییلاق، منیجه؛ و مکتبی، غلامحسین. (1403). اثربخشی آموزش راهبردهای پردازش هیجان مدار بر تنیدگی تحصیلی، سازگاری اجتماعی و پریشانی روانشناختی دانش‌آموزان پسر دوره دوم متوسطه. مجله علوم روانشناختی، 23(139)،76-63. https://psychologicalscience.ir/article-1-1731-fa.html
5. تقوایی، سینا؛ صولتی آناقیزی، رمضان؛ و موسوی، سیده مریم. (1402). مقایسه دشواری تنظیم هیجان، خشونت سایبری و نوموفوبیا در دانشجویان معتاد به شبکه مجازی و عادی. پژوهش‌های برنامه‌ریزی درسی و آموزشی، 13(1)، 12-1. https://dorl.net/dor/20.1001.1.22517758.1402.13.13.1.7
6. تقوی، ملیحه؛ نجفی، محمود؛ کیان ارثی، فرحناز؛ آقایان، شاهرخ. (مقایسه‌ی نارسایی هیجانی، سبک‌های دفاعی و اضطراب صفت – حالت در بیماران مبتلا به اختلال اضطراب فراگیر، افسردگی اساسی و افراد عادی. فصلنامه روانشناسی بالینی، 5(2)، 76-67. https://doi.org/10.22075/jcp.2017.2128
7. حسین علیزاده، محبوبه؛ قمری، محمد؛ و غلامی توران پشتی، مرضیه.(1404). اثربخشی درمان مبتنی بر شفقت بر نارسایی هیجانی و سلامت معنوی در زنان قربانی خشونت خانگی. مجله علوم روانشناختی، 24(141)، 160-141. https://psychologicalscience.ir/article-1-2502-fa.html
8. خواجه احمدی، معصومه؛ پولادی، شهناز؛ و بحرینی، مسعود. (1395). طراحی و روانسنجی پرسشنامه اعتیاد به شبکه‌های اجتماعی مبتنی بر موبایل. روان پرستاری، 4(4)، 51-43. http://ijpn.ir/article-1-884-fa.html
9. ذوقی، لیلا (1401). پیش‌بینی اعتیاد به اینترنت بر اساس ناگویی هیجانی، تمایز‌یافتگی‌خود و خویشتن‌داری در زنان خانه دار. روانشناسی فرهنگی. مقالات آماده چاپ، انتشار آنلاین 12 بهمن 1401. https://doi.org/10.30487/jcp.2023.336931.1519
10. سامانی، سیامک؛ و جوکار، بهرام. (1386). بررسی اعتبار و روایی فرم کوتاه پرسشنامه افسردگی، اضطراب و فشار روانی. علوم اجتماعی و انسانی دانشگاه شیراز، 26(3)، 76-56. https://www.sid.ir/paper/391033/fa
11. سمسارزاده، آیدا. (1399). پیش‌بینی عملکرد خانواده براساس بهزیستی روان‌شناختی و آمادگی به اعتیاد به شبکه‌های اجتماعی. خانواده و بهداشت، 10(1)، 150-134. https://dorl.net/dor/20.1001.1.23223065.1399.10.1.8.4
12. عباسی، محمد؛ قدم‌پور، عزت‌اله؛ بهرامی، عرفان؛ و موسایی، محمدامین. (1403). بررسی نقش تعدیل‌کننده ذهن‌آگاهی در رابطه بین ترومای دوران کودکی و اعتیاد به شبکه‌های اجتماعی مبتنی بر موبایل دانش‌آموزان دوره دوم متوسطه. مجله علوم روانشناختی، 23(138)، 278-261. https://psychologicalscience.ir/article-1-2436-fa.html
13. عربی، پروین؛ باقری، نسرین؛ و میرهاشمی، مالک. (1400). پیش‌بینی وابستگی به شبکه‌های اجتماعی مجازی براساس نارسایی هیجانی، سبک‌های دلبستگی، بهزیستی روانشناختی و احساس تنهایی. روان پرستاری، 9(1)، 76-66. http://ijpn.ir/article-1-1711-fa.html
14. متحدین، مهرنوش.، درتاج، فریبرز.، قائمی، فاطمه.، و قربان جهرمی، رضا. (1402). مدل علی استفاده آسیب‌زا از اینترنت براساس نیازهای تظیم هیجان و مقابله اجتنابی. مطالعات رسانه‌های نوین، 3(34)، 103-79. https://doi.org/10.22054/nms.2023.70126.1462
15. محرابی، مینا؛ داودیان، ملیکا؛ پورولی ابریکوه، سمیه؛ سلیمانی، هاجر (1401). نقش ذهنی‌سازی، انعطاف‌پذیری روان‌شناختی و دشواری در تنظیم هیجان در پیش‌بینی پریشانی روان‌شناختی و مشکلات خواب زنان باردار در طول اپیدمی بیماری کووید ۱۹. مدیریت پرستاری. 11 (1). 46-58. http://ijnv.ir/article-1-930-fa.html
16. منوچهری، فاطمه.، و حسن‌زاده، مهدی. (1401). بررسی نقش میانجی اعتیاد به اینترنت بر احساس تنهایی و پریشانی روانشناختی در دانشجویان مجرد شهر مشهد. مطالعات روانشناسی و علوم تربیتی، 5(42)، 339-333. https://civilica.com/doc/1761884/
17. Arabi, P., Bagheri, N., & Mirhashemi, M. (2021). Predicting virtual social network dependency based on emotional dysregulation, attachment styles, psychological well-being, and loneliness. Journal of Psychiatric Nursing, 9(1), 66-76. http://ijpn.ir/article-1-1711-fa.html [In Persian]
18. Abasi, M., Ghadampour, E., Bahrami, E., & Musaei, M.A. (2024). Investigating the moderating role of mindfulness in the relationship between childhood trauma and addiction to mobile-based social networks in the high school students. Journal of Psychological Science, 23(138), 261-278. https://psychologicalscience.ir/article-1-2436-fa.html [In Persian]
19. Bagby, R. M., Parker, J. D., & Taylor, G. J. (1994). The twenty-item Toronto Alexithymia Scale—I. Item selection and cross-validation of the factor structure. Journal of psychosomatic research, 38(1), 23-32.‌ https://doi.org/10.1016/0022-3999(94)90005-1
20. Bakhshande, S., Khezri Moghaddam, N., & Mousavi Nasab, S. M. H. (2023). Causal model of emotional schema and alexithymia with anxiety sensitivity through the mediating role of difficulty in emotion regulation in students. Journal of New Psychological Researches (68), 54-62. https://doi.org/10.22034/jmpr.2023.15345 [In Persian]
21. Besharat, M. A., & Bazazian, S. (2014). Psychometric properties of the emotion regulation questionnaire in an Iranian sample. Faculty of Nursing & Midwifery, 24*(84), 61-70. https://www.sid.ir/paper/496015/fa [In Persian]
22. Besharat, M. A., & Ganjif Pouyesh. (2012). The moderating role of attachment styles in the relationship between alexithymia and marital satisfaction. Journal of Fundamentals of Mental Health, 14(4). https://doi.org/10.22038/jfmh.2012.891 [In Persian]
23. Boursier, V., Gioia, F., & Griffiths, M. D. (2020). Do selfie-expectancies and social appearance anxiety predict adolescents’ problematic social media use? Computers in Human Behavior, 110, 106395. https://doi.org/10.1016/j.chb.2020.106395
24. Brown, E., & Wilson, D. (2022). The role of alexithymia in social media addiction: The mediating effect of emotion regulation difficulties. Journal of Emotional and Behavioral Disorders. https://doi.org/10.3389/fpsyt.2022.793094
25. Beyranvand, K., Behroozi, N., Shehni Yeilgh, M., & Maktabi, Gh.H. (2024). The effectiveness of teaching emotion-based processing strategies on academic stress, social adjustment and psychological distress of high school male students. Journal of Psychological
26. Science, 23(139), 63-76. https://psychologicalscience.ir/article-1-1731-fa.html [In Persian]
27. Cookson, C., Luzon, O., Newland, J., & Kingston, J. (2020). Examining the role of cognitive fusion and experiential avoidance in predicting anxiety and depression. Psychology and Psychotherapy: Theory, Research and Practice, 93(3), 456–473. https://doi.org/10.1111/papt.12233
28. DataReportal. (2022). Global social media statistics 2022. https://datareportal.com/social-media-users. Accessed 30 Oct 2022.
29. Edwards, E. R., Shivaji, S., Micek, A., & Wupperman, P. (2020). Distinguishing alexithymia and emotion differentiation conceptualizations through linguistic analysis. Personality and Individual Differences, 157, 109801. https://doi.org/10.1016/j.paid.2019.109801
30. Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1), 41-54. https://doi.org/10.1023/B:JOBA.0000007455.08539.94
31. Gong, L., & Liu, Q. (2023). Mobile phone addiction and sleep quality: The mediating role of anxiety and the moderating role of emotion regulation. Behavioral Sciences, 13(3), 250. https://doi.org/10.3390/bs13030250
32. Gori, A., & Topino, E. (2023). The association between alexithymia and social media addiction: Exploring the role of dysmorphic symptoms, symptoms interference, and self-esteem, controlling for age and gender. Journal of Personalized Medicine, 13(1), 152. https://doi.org/10.3390/jpm13010152
33. Helmy, M., Ebrahim, A. H., Faqeeh, A., Engel, E., Ashraf, F., & Isaac, B. A. (2024). Relationship between alexithymia, smartphone addiction, and psychological distress among university students: A multi-country study. Oman Medical Journal, 39(1), e593. https://doi.org/10.5001/omj.2024.50
34. Henry, J. D., & Crawford, J. R. (2005). The short‐form version of the Depression Anxiety Stress Scales (DASS‐21): Construct validity and normative data in a large non‐clinical sample. British Journal of Clinical Psychology, 44(2), 227-239. https://doi.org/10.1348/014466505X29657
35. Ho, S., Cook, K. V., Chen, Z. J., Kurniati, N. M. T., Suwartono, C., Widyarini, N., Wong, P. T. P., & Cowden, R. G. (2022). Suffering, psychological distress, and well-being in Indonesia: A prospective cohort study. Stress and Health: Journal of the International Society for the Investigation of Stress, 38(5), 879–890. https://doi.org/10.1002/smi.3139
36. Hossein Alizadeh, M., Ghamari, M., & Gholamitooranposhti, M. (2025). Effectiveness of compassion-based therapy on alexithymia and spiritual health in women victims of domestic violence. Journal of Psychological Science, 24(149), 141-160. https://psychologicalscience.ir/article-1-2502-fa.html [In Persian]
37. Huang, P. C., Latner, J. D., O’Brien, K. S., Chang, Y. L., Hung, C. H., Chen, J. S., ... & Lin, C. Y. (2023). Associations between social media addiction, psychological distress, and food addiction among Taiwanese university students. Journal of Eating Disorders, 11(1), 43. https://doi.org/10.1186/s40337-023-00769-0
38. Khajeh Ahmadi, M., Pouladi, S., & Bahreini, M. (2016). Design and psychometric properties of the mobile-based social network addiction questionnaire. Journal of Psychiatric Nursing, 4(4), 43-51. http://ijpn.ir/article-1-884-fa.html [In Persian]
39. Karaer, Y., & Akdemir, D. (2019). Parenting styles, perceived social support, and emotion regulation in adolescents with internet addiction. Comprehensive Psychiatry, 92, 22-27. https://doi.org/10.1016/j.comppsych.2019.03.003
40. Kenangil, G., Demir, M., Tur, E., & Domac, F. (2023). Alexithymia, depression, and cognition in patients with Parkinson’s disease. Acta Neurologica Belgica, 123(1), 85-91. https://doi.org/10.1007/s13760-020-01581-2
41. Kline ,R. B. (2005). Principles and practice of structural equation modeling, edition 2, Guilford press, New York & London.
42. Lam, C., Chan, C. S., & Hamamura, T. (2021). Time-dependent association between mass protests and psychological distress on social media: A text mining study during the 2019 anti-government social unrest in Hong Kong. Journal of Affective Disorders, 291, 177-187. https://doi.org/10.1016/j.jad.2021.05.007
43. Lee, S., Kim, M. W., McDonough, I. M., Mendoza, J. S., & Kim, M. S. (2017). The effects of cell phone use and emotion‐regulation style on college students' learning. Applied Cognitive Psychology, 31(3), 360-366. https://doi.org/10.1002/acp.3323
44. Leung, H., Pakpour, A. H., Strong, C., Lin, Y. C., Tsai, M. C., Griffiths, M. D., & Chen, I. H. (2020). Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen social media addiction scale (BSMAS), smartphone application-based addiction scale (SABAS), and internet gaming disorder scale-short form (IGDS-SF9) (Study Part A). Addictive Behaviors, 101, 105969. https://doi.org/10.1016/j.addbeh.2019.04.027
45. Liu, C., & Ma, J. L. (2019). Adult attachment style, emotion regulation, and social networking sites addiction. Frontiers in Psychology, 10, 2352. https://doi.org/10.3389/fpsyg.2019.02352
46. Liu, Y., Duan, L., Shen, Q., Ma, Y., Chen, Y., Xu, L., & Zhang, T. (2024). The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression. Scientific Reports, 14(1), 9781. https://doi.org/10.1038/s41598-024-60326-w
47. Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales (DASS). New South Wales: Psychology Foundation Monograph.
48. Mahmoud, M. A., Abolashamat, K. T., Quronfulah, B. S., Rajeh, M. T., Badawoud, A. M., Alzhrani, A. M., & Badri, H. M. (2023). The effects of social media addiction, psychological distress, and loneliness on suicide ideations and attempts among healthcare professionals in Saudi Arabia. Cureus, 15(8), e44234. https://doi.org/10.7759/cureus.44234
49. Manouchehri, F., & Hasanzadeh, M. (2022). Investigating the mediating role of internet addiction on loneliness and psychological distress in single students in Mashhad. Journal of Research in Psychology and Education, 5(42), 333-339. https://civilica.com/doc/1761884/ [In Persian]
50. Mehrabi, M., Davoudian, M., Pourvali Abrikooh, S., & Soleymani, H. (2022). The role of mentalization, psychological flexibility, and difficulty in emotion regulation in predicting psychological distress and sleep problems in pregnant women during the COVID-19 epidemic. Nursing Management, 11(1), 46-58. http://ijnv.ir/article-1-930-fa.html [In Persian]
51. Meyers,L.S , Gamest.G., & Goarin,A.J. (2006). Applied multivariate research, design and interpretation, Thousand oaks. London. New Deihi, Sage publication.
52. Motahhedin, M., Dortaj, F., Ghaemi, F., & Ghorban Jahromi, R. (2023). Causal model of problematic internet use based on emotion regulation needs and avoidant coping. New Media Studies, 3(34), 79-103. https://doi.org/10.22054/nms.2023.70126.1462 [In Persian]
53. Musetti, A., Mancini, T., Corsano, P., Santoro, G., Cavallini, M. C., & Schimmenti, A. (2019). Maladaptive personality functioning and psychopathological symptoms in problematic video game players: A person-centered approach. Frontiers in Psychology, 10, 489559. https://doi.org/10.3389/fpsyg.2019.02559
54. Olson, J. A., Sandra, D. A., Colucci, É. S., Al Bikaii, A., Chmoulevitch, D., Nahas, J., & Veissière, S. P. (2022). Smartphone addiction is increasing across the world: A meta-analysis of 24 countries. Computers in Human Behavior, 129, 107138. https://doi.org/10.1016/j.chb.2021.107138
55. Özer, D., Altun, Ö. Ş., & Avşar, G. (2023). Investigation of the relationship between internet addiction, communication skills, and difficulties in emotion regulation in nursing students. Archives of Psychiatric Nursing, 42, 18-24. https://doi.org/10.1016/j.apnu.2022.12.004
56. Palma-Alvarez, R. F., Ros-Cucurull, E., Daigre, C., Perea-Ortueta, M., Martinez-Luna, N., Serrano Perez, P., et al. (2021). Is alexithymia related to retention and relapses in patients with substance use disorders? A one-year follow-up study. Addictive Behaviors, 113, 106681. https://doi.org/10.1016/j.addbeh.2020.106681
57. 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, 113036. https://doi.org/10.1016/j.psychres.2020.113036
58. Preece, D. A., Mehta, A., Becerra, R., Chen, W., Allan, A., Robinson, K., & Gross, J. J. (2022). Why is alexithymia a risk factor for affective disorder symptoms? The role of emotion regulation. Journal of Affective Disorders, 296, 337-341. https://doi.org/10.1016/j.jad.2021.09.085
59. Quaglieri, A., Biondi, S., Roma, P., Varchetta, M., Fraschetti, A., Burrai, J., & Mari, E. (2021). From emotional (dys) regulation to internet addiction: A mediation model of problematic social media use among Italian young adults. Journal of Clinical Medicine, 11(1), 188. https://doi.org/10.3390/jcm11010188
60. Samani, S., & Jokar, B. (2007). Investigating the reliability and validity of the short form of the Depression, Anxiety, and Stress Scale. Journal of Social Sciences & Humanities of Shiraz University, 26(3), 56-76. https://www.sid.ir/paper/391033/fa
61. Sánchez-Fernández, M., Borda-Más, M., & Mora-Merchan, J. (2023). Problematic internet use by university students and associated predictive factors: A systematic review. Computers in Human Behavior, 139, 107532. https://doi.org/10.1016/j.chb.2022.107532
62. Satici, B., Kayis, A. R., & Griffiths, M. D. (2023). Exploring the association between social media addiction and relationship satisfaction: Psychological distress as a mediator. International Journal of Mental Health and Addiction, 21(4), 2037-2051. https://doi.org/10.1007/s11469-021-00658-0
63. Savolainen, I., Kaakinen, M., Sirola, A., & Oksanen, A. (2018). Addictive behaviors and psychological distress among adolescents and emerging adults: A mediating role of peer group identification. Addictive Behaviors Reports, 7, 75-81. https://doi.org/10.1016/j.abrep.2018.03.002
64. Schimmenti, A., Passanisi, A., Caretti, V., La Marca, L., Granieri, A., Iacolino, C., ... & Billieux, J. (2017). Traumatic experiences, alexithymia, and internet addiction symptoms among late adolescents: A moderated mediation analysis. Addictive Behaviors, 64, 314-320. https://doi.org/10.1016/j.addbeh.2015.11.002
65. Schreiber, L. R., Grant, J. E., & Odlaug, B. L. (2012). Emotion regulation and impulsivity in young adults. Journal of Psychiatric Research, 46(5), 651-658. https://doi.org/10.1016/j.jpsychires.2012.02.005
66. Semsarzadeh, A. (2020). Predicting family functioning based on psychological well-being and readiness for social media addiction. Family and Health, 10(1), 134-150. https://dorl.net/dor/20.1001.1.23223065.1399.10.1.8.4 [In Persian]
67. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics, 5th edn New York. NY: Allyn and Bacon.‌
68. Taghavi, M., Najafi, M., Kian Ersi, F., & Aghayan, Sh. (n.d.). Comparison of alexithymia, defensive styles, and state-trait anxiety in patients with generalized anxiety disorder, major depressive disorder, and normal individuals. Clinical Psychology Quarterly, 5,(2), 67-76. https://doi.org/10.22075/jcp.2017.2128 [In Persian]
69. Taghvaei, S., Solati Anagizi, R., & Mousavi, S. M. (2023). Comparison of difficulty in emotion regulation, cyber violence, and nomophobia in virtual network addicted and normal students. Journal of Curriculum and Educational Planning Researches, 13(1), 1-12. https://dorl.net/dor/20.1001.1.22517758.1402.13.13.1.7 [In Persian]
70. Talis, G. (2022). Internet addiction. In Substance and Non-Substance Related Addictions: A Global Approach (pp. 99-107).
71. Terzioğlu, M. A., & Uğurlu, T. T. (2023). Social media addiction in medical faculty students; the relationship with dissociation, social anxiety, and alexithymia. Pamukkale Medical Journal, 16(4), 580-592. https://doi.org/10.31362/patd.1321281
72. Tremblay, M., Baydala, L., Khan, M., Currie, C., Morley, K., Burkholder, C., & Stillar, A. (2020). Primary substance use prevention programs for children and youth: A systematic review. Pediatrics, 146(3). https://doi.org/10.1542/peds.2019-2747
73. Tsai, J.-K., Lu, W.-H., Hsiao, R. C., Hu, H.-F., & Yen, C.-F. (2020). Relationship between difficulty in emotion regulation and internet addiction in college students: A one-year prospective study. International Journal of Environmental Research and Public Health, 17(13), 4766. https://doi.org/10.3390/ijerph17134766
74. Tullett-Prado, D., Doley, J. R., Zarate, D., Gomez, R., & Stavropoulos, V. (2023). Conceptualizing social media addiction: A longitudinal network analysis of social media addiction symptoms and their relationships with psychological distress in a community sample of adults. BMC Psychiatry, 23(1), 509. https://doi.org/10.1186/s12888-023-04985-5
75. Van Assche, L., Van de Ven, L., Vandenbulcke, M., & Luyten, P. (2020). Ghosts from the past? The association between childhood interpersonal trauma, attachment, and anxiety and depression in late life. Aging & Mental Health, 24(6), 898-905. https://doi.org/10.1080/13607863.2019.1571017
76. Vigo, D., Jones, L., Munthali, R., Pei, J., Westenberg, J., Munro, L., Judkowicz, C., Wang, A. Y., Van den Adel, B., Dulai, J., Krausz, M., Auerbach, R. P., Bruffaerts, R., Yatham, L., Gadermann, A., Rush, B., Xie, H., Pendakur, K., & Richardson, C. (2021). Investigating the effect of COVID-19 dissemination on symptoms of anxiety and depression among university students. BJPsych Open, 7(2), e69. https://doi.org/10.1192/bjo.2021.24
77. Yan, X., Gao, W., Yang, J., & Yuan, J. (2022). Emotion regulation choice in internet addiction: Less reappraisal, lower frontal alpha asymmetry. Clinical EEG and Neuroscience, 53(4), 278-286. https://doi.org/10.1177/15500594211056433
78. Zoughi, L. (2023). Predicting internet addiction based on alexithymia, self-differentiation, and self-control in housewives. Cultural Psychology. Advance online publication. https://doi.org/10.30487/jcp.2023.336931.1519

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