نوآوری های اخیر در روان‌شناسی

نوآوری های اخیر در روان‌شناسی

نقش میانجی انعطاف‌پذیری شناختی در رابطه اعتیاد اینترنتی با اضطراب و افسردگی در نوجوانان: ارزیابی تغییرناپذیری بر اساس جنسیت

نوع مقاله : پژوهشی اصیل

نویسندگان
مائده کرمانی 1
سعید ایمانی 2
1 دانشجوی کارشناسی ارشد مشاوره توانبخشی، دانشگاه شهید بهشتی، تهران، ایران
2 استادیار، گروه مشاوره، دانشگاه شهید بهشتی، تهران، ایران
10.22034/rip.2025.514124.1092
چکیده
هدف پژوهش حاضر بررسی نقش میانجی انعطاف‌پذیری شناختی در رابطه اعتیاد اینترنتی با اضطراب و افسردگی در نوجوانان و بررسی تغییرناپذیری بر اساس جنسیت بود. در یک طرح همبستگی تعداد 377 نفر از نوجوانان ۱۲ تا ۱۸ ساله ساکن شهر تهران در مردادماه 1403 با روش نمونه‌گیری در دسترس انتخاب شده و آزمون اعتیاد اینترنتی (IAT)، سیاهه انعطاف‌پذیری شناختی (CFI)، سیاهه اضطراب بک (BAI) و مقیاس افسردگی نوجوانان کوتچر (KADS) را تکمیل کردند. تحلیل چندگروهی با رویکرد حداقل مربعات جزئی (PLS-MGA)  نشان داد که اثر غیرمستقیم اعتیاد اینترنتی به واسطه انعطاف‌پذیری شناختی بر اضطراب معنادار (05/0>P) و بر افسردگی غیر معنادار است (0.05<P). در هر دو گروه دختران و پسران اثرات غیرمستقیم اعتیاد اینترنتی به واسطه انعطاف‌پذیری شناختی بر اضطراب و افسردگی غیرمعنادار بودند (0.05<P). اما تفاوت معناداری بر اساس جنسیت وجود نداشت (0.05<P). به نظر می‌رسد انعطاف‌پذیری شناختی می‌تواند کیفیت اثرگذاری اعتیاد اینترنتی بر اضطراب و افسردگی را توضیح دهد. بر این اساس به مشاوران و درمانگران پیشنهاد می‌شود بر بهبود انعطاف پذیری شناختی متمرکز شوند.  
کلیدواژه‌ها
اضطراب
افسردگی
اعتیاد به اینترنت
انعطاف‌پذیری شناختی

عنوان مقاله English

The Mediating Role of Cognitive Flexibility in the Relationship Between Internet Addiction and Anxiety and Depression in Adolescents: A Gender Invariance Analysis

نویسندگان English

Maedeh Kermani 1
Saeed Imani 2
1 MSc. Student in Rehabilitation Counseling, Shahid Beheshti University, Tehran, Iran
2 Assistant Professor, Department of Counseling, Shahid Beheshti University, Tehran, Iran
چکیده English

The present study aimed to examine the mediating role of cognitive flexibility in the relationship between internet addiction and anxiety and depression in adolescents, as well as to assess gender invariance. In a correlational design, 377 adolescents aged 12–18 residing in Tehran (a city in Iran) were selected via convenience sampling in August 2024 and completed the Internet Addiction Test (IAT), the Cognitive Flexibility Inventory (CFI), Beck Anxiety Inventory (BAI), and Kutcher Adolescent Depression Scale (KADS). A multi-group analysis using the partial least squares approach (PLS-MGA) revealed that the indirect effect of internet addiction on anxiety through cognitive flexibility was significant (P < 0.05), while its effect on depression was non-significant (P > 0.05). In both girls and boys, the indirect effects of internet addiction on anxiety and depression through cognitive flexibility were non-significant (P > 0.05), with no significant gender differences observed (P > 0.05). It appears that cognitive flexibility may explain the quality of the impact of internet addiction on anxiety and depression. Accordingly, counselors and therapists are recommended to focus on enhancing cognitive flexibility.

کلیدواژه‌ها English

anxiety
cognitive flexibility
depression
internet addiction
الماسی، سعید.، لیاقت، ریتا.، و حسینی، مرتضی. (1400). ویژگی‌های روان سنجی آزمون اعتیاد به اینترنت و رابطه آن با پرخاشگری در بین جوانان 20تا 30 ساله شهر تهران. روان سنجی، 11(42)، 7-20. URL: https://sanad.iau.ir/Journal/ps/Article/1111981/FullText
حبیبی، مجتبی.، حامدی نیا، الهه.، عسگری نژاد، فاطمه.، و خلقی، حبیبه. (1394). ویژگی‌های روان‌سنجی مقیاس افسردگی کوتچر در دانش‌آموزان. پژوهش های کاربردی در روان‌شناسی تربیتی، 2(2)، 15-28. URL: https://aep.journals.pnu.ac.ir/article_2279.html
خزاعی، سمانه.، علی پور، سارا.، و دادی، زهرا. (1402). اعتیاد دانشجویان به اینترنت، خودکارآمدی تحصیلی و درگیری تحصیلی در همه‌گیری کووید-19. نوآوری های اخیر در روان‌شناسی، 1(1)، 76-89. https://doi.org/10.22034/rip.2024.191408
رحمتی، عباس.، خواجویی میرزاده، آزاده.، و نجمی زاده، هانیه. (1404). رابطه انعطاف پذیری شناختی و ابراز خشم دانشجویان: نقش میانجی مهارت‌های ارتباطی. نوآوری های اخیر در روان‌شناسی، (پذیرفته شده/ در نوبت انتشار)، .... https://doi.org/10.22034/rip.2024.472394.1054
کاویانی، حسین.، و موسوی، اشرف‌سادات. (1387). ویژگی‌های روان‌سنجی پرسشنامه اضطراب بک در طبقات سنی و جنسی جمعیت ایرانی. مجله دانشکده پزشکی، دانشگاه علوم پزشکی تهران، ۶۶ (۲)، ۱۳۶-۱۴۰. URL: https://tumj.tums.ac.ir/article-1-641-fa.html
کلایی، زهرا.، همتی، راضیه.، نزادی نیاسر، سرور.، و نعمت الهی، محمود. (1404). مدل ساختاری اختلالات خواب بر اساس نگرش به تصویر بدنی با نقش میانجی‌ اعتیاد به اینترنت در دانشجویان علوم پزشکی. نوآوری های اخیر در روان‌شناسی، (پذیرفته شده/ در نوبت انتشار)، .... https://doi.org/10.22034/rip.2025.500956.1084
کهندانی، مهدیه.، و ابوالمعانی الحسینی، خدیجه. (1396). ساختار عاملی و ویژگی های روان سنجی نسخه فارسی پرسشنامه انعطاف پذیری شناختی دنیس, وندروال و جیلون. روشها و مدلهای روان شناختی، 8(3)، 53-70. URL: https://dorl.net/dor/20.1001.1.22285516.1396.8.29.3.2
 
Ahmed, E., & Vaghefi, I. (2021). Social media addiction: A systematic review through cognitive- behavior model of pathological use. Proceedings of the 54th Hawaii International Conference on System Sciences, 6681-6690. URL: https://d1wqtxts1xzle7.cloudfront.net/99425691/0653-  
Almasi, S., Liaghat, R., & Hoseini, M. (2022). Psychometric properties of Internet addiction test and its relationship with aggression among 20-30-year-old youth in Tehran. Journal of Psychometry, 11(42), 7-20 (In Persian). URL:  https://sanad.iau.ir/Journal/ps/Article/1111981/FullText
Balluerka, N., Aliri, J., Goñi-Balentziaga, O., & Gorostiaga, A. (2023). Association between bullying  victimization, anxiety and depression in childhood and adolescence: The mediating effect  of self-esteem. Revista de Psicodidáctica (English ed.), 28(1), 26-34. https://doi.org/10.1016/j.psicoe.2022.11.001 
Bartholomay, E. M., Stone, B-M., & Lyons, G. A. (2023). Depression and social anxiety symptoms  explain substance use problems beyond amount٫frequency of substance use. Current  Psychology, 42(8), 6249-6256. URL: https://link.springer.com/article/10.1007/s12144-021-01984-1 
Barua, P. D., Vicnesh, J., Lih, O. S., Palmer, E. E., Yamakawa, T., Kobayashi, M., & Acharya, U. R.  (2024). Artificial intelligence assisted tools for the detection of anxiety and depression  leading to suicidal ideation in adolescents: a review. Cognitive Neurodynamics, 18(1), 1- 22. https://doi.org/10.1007/s11571-022-09904-0
Başaran, S. K., Gökdağ, C., & Yıldırım, Z. E (2022) How does cognitive flexibility associate with  depressive symptoms? A multiple mediation model including emotion dysregulation and problem-solving. Yaşam Becerileri Psikoloji Dergisi, 6(11), 23-37. https://doi.org/10.31461/ybpd.1110174 
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893–897. https://doi.org/10.1037/0022-006X.56.6.893Bottom of Form
Cheng, S., Chen, Y., Jia, Y., Wen, Y., Zhang, H., Pan, C., Zhang, J., Zhang, Z., Yang, X., Meng, P.  (2023 (Exploratory factor analysis of shared and specific genetic associations in  depression and anxiety. Progress in Neuro-Psychopharmacology and Biological Psychiatry,  126, 110781. https://doi.org/10.1016/j.pnpbp.2023.110781
Chiu, S. I., Hong, F. Y., & Chiu, S. L. (2013). An analysis on the correlation and gender difference between college students’ Internet addiction and mobile phone addiction in Taiwan. International scholarly research notices, 2013(1), 360607. https://doi.org/10.1155/2013/360607
Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H., & Yildirim, F. G. (2013). 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.  https://doi.org/10.1089/cyber.2012.0390
de Castro, F., Cappa, C., & Madans, J. (2023). Anxiety and depression signs among adolescents in  26 low-and Middle-Income Countries: prevalence and association with functional  difficulties. Journal of Adolescent Health, 72(1), 579-587. https://doi.org/10.1016/j.jadohealth.2022.03.022 
Dennis, J. P., & Vander Wal, J. S. (2010). The cognitive flexibility inventory: Instrument development and estimates of reliability and validity. Cognitive therapy and research, 34, 241-253. https://doi.org/10.1007/s10608-009-9276-4
Dong, W., Tang, H., Wu, S., Lu, G., Shang, Y., & Chen, C. (2024). The effect of social anxiety on teenagers’ internet addiction: the mediating role of loneliness and coping styles. BMC psychiatry, 24(1), 395. https://doi.org/10.1186/s12888-024-05854-5 
Du, M., Peng, Y., Li, Y., Zhu, Y., Yang, S., Li, J., Zou, F., Wang, Y., Wu, X., & Zhang, Y. (2022). Effect of  trait anxiety on cognitive flexibility: Evidence from event-related potentials and resting- state EEG. Biological Psychology, 170, 108319. https://doi.org/10.1016/j.biopsycho.2022.108319  
Godara, M., Everaert, J., Sanchez-Lopez, A., Joormann, J., & De Raedt, R. (2023). Interplay  between uncertainty intolerance, emotion regulation, cognitive flexibility, and  psychopathology during the COVID-19 pandemic: a multi-wave study. Scientific Reports,  13(1), 9854. https://doi.org/10.1038/s41598-023-36211-3  
Ha, Y. M., & Hwang, W. J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health and Addiction, 12, 660-669. https://doi.org/10.1007/s11469-014-9500-7
Habibi, M., Hamediniya, E., Asgarinejad, F., & Kholghi, H. (2016). Psychometric Properties of Kutcher Adole Csent’s Depression Scale. Quarterly Journal of Applied Research in Educational Psychology, 2(2), 28-15 (In Persian). URL: https://aep.journals.pnu.ac.ir/article_2279.html?lang=en
Hohl, K., & Dolcos, S. (2024). Measuring cognitive flexibility: A brief review of neuropsychological,  self-report, and neuroscientific approaches. Frontiers in Human Neuroscience, 18,  1331960.  https://doi.org/10.3389/fnhum.2024.1331960
Hunt, X., Shakespeare, T., Vilyte, G., Melendez-Torres, G., Henry, J., Bradshaw, M., Naidoo, S.,  Mbuyamba, R., Aljassem, S., & Suubi, E. (2023). Effectiveness of social inclusion  interventions for anxiety and depression among adolescents: A systematic review.  International journal of environmental research and public health, 20(3), 1895. https://doi.org/10.3390/ijerph20031895 
Kabakcıoğlu, N. K., & Ayaz-Alkaya, S. (2024). The effect of progressive muscle relaxation on stress,  anxiety, and depression in adolescents: A quasi-experimental design. Journal of Pediatric  Nursing, 78, 89-96. https://doi.org/10.1016/j.pedn.2024.06.014 
Kalaei, Z. , Hemmati, R. , Nezadi Niyasar, S. and Nematollahi, M. (2025). The Structural Model of Sleep Disorders Based on Attitude towards Body Image with the Mediating Role of Internet Addiction Among Medical Sciences Students. Recent Innovations in Psychology, (In Press), .. (In Persian). https://doi.org/10.22034/rip.2025.500956.1084
Kashdan, T. B., & Rottenberg, J. (2010). Psychological flexibility as a fundamental aspect of health. Clinical psychology review, 30(7), 865-878. https://doi.org/10.1016/j.cpr.2010.03.001
Kaviani, H., & Mousavi, A. S. (2008). Psychometric properties of the Persian version of Beck Anxiety Inventory (BAI). Tehran University of Medical Sciences Journal, 66(2), 136-140 (In Persian). URL: https://tumj.tums.ac.ir/article-1-641-en.html
Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: the influence of social media on  depression, anxiety and psychological distress in adolescents. International journal of  adolescence and youth, 25(1), 79-93. https://doi.org/10.1080/02673843.2019.1590851 
Khalaf, A. M., Alubied, A. A., Khalaf, A. M., & Rifaey, A. A. (2023). The Impact of Social Media on the Mental Health of Adolescents and Young Adults: A Systematic Review. Cureus, 15(8), e42990. https://doi.org 10.7759/cureus.42990
Khazaei, S., Alipour, S., & Dadi, Z. (2024). Students' Internet Addiction, Academic Self-efficacy and Academic Engagement in the COVID-19 Pandemic. Recent Innovations in Psychology, 1(1), 76-89 (In Persain). https://doi.org/10.22034/rip.2024.191408
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., & Wang, S. Y. (2008). The association between Internet addiction and belief of frustration intolerance: the gender difference. Cyberpsychology & Behavior, 11(3), 273-278. https://doi.org/10.1089/cpb.2007.0095
Kohandani, M., & Abolmaali Alhosseini, K. (2017). Factor structure and psychometric properties of Persian version of cognitive flexibility of Dennis, Vander Wal and Jillon. Psychological Models and Methods, 8(29), 53-70 (In Persian). URL: https://jpmm.marvdasht.iau.ir/article_2556.html?lang=en
Landa-Blanco, M., García, Y. R., Landa-Blanco, A. L., Cortés-Ramos, A., & Paz-Maldonado, E. (2024). Social media addiction relationship with academic engagement in university students: The mediator role of self-esteem, depression, and anxiety. Heliyon, 10(2), e24384. https://doi.org/10.1016/j.heliyon.2024.e24384  
Laureiro‐Martínez, D., & Brusoni, S. (2018). Cognitive flexibility and adaptive decision‐making: Evidence from a laboratory study of expert decision makers. Strategic Management Journal, 39(4), 1031-1058. https://doi.org/10.1002/smj.2774
LeBlanc, J. C., Almudevar, A., Brooks, S. J., & Kutcher, S. (2002). Screening for adolescent depression: comparison of the Kutcher Adolescent Depression Scale with the Beck Depression Inventory. Journal of Child and Adolescent Psychopharmacology, 12(2), 113-126. https://doi.org/10.1089/104454602760219153
Ludwig-Walz, H., Dannheim, I., Pfadenhauer, L. M., Fegert, J. M., & Bujard, M. (2023). Anxiety increased among children and adolescents during pandemic-related school closures in Europe: a systematic review and meta-analysis. Child and adolescent psychiatry and mental health, 17(1), 74. https://doi.org/10.1186/s13034-023-00612-z  
Mari, E., Biondi, S., Varchetta, M., Cricenti, C., Fraschetti, A., Pizzo, A., ... & Quaglieri, A. (2023). Gender differences in internet addiction: A study on variables related to its possible development. Computers in Human Behavior Reports, 9, 100247. https://doi.org/10.1016/j.chbr.2022.100247
Pei, C., Fan, C., Luo, H., Bai, A., Ni, S., Luo, M., Huang, J., Zhou, Y., & Huo, L. (2023). Sleep problems  in adolescents with depression: Role of childhood trauma, alexithymia, rumination, and  self-esteem. Journal of affective disorders, 338, 83-91. https://doi.org/10.1016/j.jad.2023.05.095  
Prasad, S., Souabni, S. A., Anugwom, G., Aneni, K., Anand, A., Urhi, A., Obi-Azuike, C., Gibson, T.,  Khan, A., & Oladunjoye, F. (2023). Anxiety and depression amongst youth as adverse  effects of using social media: A Review. Annals of Medicine and Surgery, 85(8), 3974-3981. http://dx.doi.org/10.1097/MS9.0000000000001066 
Rahmati, A., Khajouei Mirzadeh, A., & Najmizadeh, H. (2025). The Relationship Between Cognitive Flexibility and Students' Expression of Anger: The Mediating Role of Communication Skills. Recent Innovations in Psychology, (In Press),… (In Persian). https://doi.org/10.22034/rip.2024.472394.1054
Ruan, Q.-N., Chen, Y.-H., & Yan, W. J. (2023). A network analysis of difficulties in emotion  regulation, anxiety, and depression for adolescents in clinical settings. Child and  adolescent psychiatry and mental health, 17(1), 29. https://doi.org/10.1186/s13034-023-00574-2  
Siddik, M.A. B., Munmun, M. S., Hasan, N., Syfullah, M. K., Mahmud, A., Ali, A., Bosak, L.,  Chowdhury, S., Kamil, A. A., & Rahman, M. M. (2024). Physio-psychosocial risk of  depression among college-going adolescents: A cross-sectional study in Bangladesh.  Journal of Affective Disorders Reports, 16, 100768. https://doi.org/10.1016/j.jadr.2024.100768 
Sireli, O., Ucuz, I., Cicek, A. U., Abanoz, E., & Arslan, S. C. (2024). Are adolescents with social anxiety disorder in danger of peer bullying?. Annals of Medical of Research, 31(5), 386-396.  https://doi.org/10.1007/s12144-023-04242-8
Song, C., Yao, L., Chen, H., Zhang, J., & Liu, L. (2024). The relationship between adverse childhood experiences and depressive symptoms in rural left-behind adolescents: A cross-sectional survey. Heliyon, 10(4), e26578.  https://doi.org/10.1016/j.heliyon.2024.e26587
Southwick, S. M., & Charney, D. S. (2018). Resilience: The science of mastering life's greatest challenges. Cambridge University Press. URL: https://books.google.com/books?hl=en
Spada, M. M., & Marino, C. (2017). Metacognitions and emotional regulation as predictors of problematic Internet use in adolescents. Clinical Neuropsychiatry, 14(1), 59-63. URL: https://www.research.unipd.it/handle/11577/3254076
Steinsbekk, S., Nesi, J., & Wichstrøm, L. (2023). Social media behaviors and symptoms of anxiety  and depression. A four-wave cohort study from age 10-16 years. Computers in Human  Behavior, 147, 107859.  https://doi.org/10.1016/j.chb.2023.107859
Tanhan, F., Özok, H. İ., Kaya, A., & Yıldırım, M. (2024). Mediating and moderating effects of  cognitive flexibility in the relationship between social media addiction and phubbing.  Current Psychology, 43(1), 192-203. https://doi.org/10.1007/s12144-023-04242-8  
Teo, C. H., Wong, A. C. H., Sivakumaran, R. N., Parhar, I., & Soga, T. (2023). Gender differences in cortisol and cortisol receptors in depression: a narrative review. International journal of molecular sciences, 24(8), 7129. https://doi.org/10.3390/ijms24087129
West, M., Rice,S., & Vella-Brodrick, D. (2024). Adolescent Social Media Use through a Self- Determination Theory Lens: A Systematic Scoping Review. International journal of  environmental research and public health, 21(7), 862.  https://doi.org/10.3390/ijerph21070862  
Wu, X., Wang, Z., Zhang, H., Yuan, P., Yu, Q., Zhou, Z., & Zhao, Q. (2021). Effects of internet  language related to COVID-19 on mental health in college students: the mediating effect  of cognitive flexibility. Frontiers in psychology, 12, 600268. https://doi.org/10.3389/fpsyg.2021.600268
Xiao, W., Peng, J., & Liao, S. (2022). Exploring the associations between social media addiction and depression: Attentional bias as a mediator and socio-emotional competence as a moderator. International Journal of Environmental Research and Public Health, 19(20), 13496. https://doi.org/10.3390/ijerph192013496
Yang, S. Y., Wang, Y. C., Lee, Y. C., Lin, Y. L., Hsieh, P. L., & Lin, P. H. (2022, May). Does smartphone addiction, social media addiction, and/or internet game addiction affect adolescents’ interpersonal interactions?. In Healthcare (Vol. 10, No. 5, p. 963). MDPI. https://doi.org/10.3390/healthcare10050963
Young, K. S. (1998). Internet Addiction Test (IAT) [Database record]. APA PsycTests. https://doi.org/10.1037/t41898-000
Young, K. S. (2017). The evolution of internet addiction. Addictive Behaviors, 64, 229–230. https://doi.org/10.1016/j.addbeh.2015.05.016
Zhang, X., Yan, Y., Ye, Z., & Xie, J. (2023). Descriptive analysis of depression among adolescents in  Huangshi, China. BMC psychiatry, 23(1), 176. https://doi.org/10.1186/s12888-023-04682-3

  • تاریخ دریافت 08 اسفند 1403
  • تاریخ بازنگری 06 فروردین 1404
  • تاریخ پذیرش 10 فروردین 1404
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