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Psikolojik Belirtiler ve Dürtüsellik İle Problemli Sosyal Medya Kullanımı Arasındaki İlişki

Year 2021, Volume: 22 Issue: 1, 43 - 52, 31.03.2021
https://doi.org/10.51982/bagimli.793837

Abstract

Amaç: Bu çalışmada yetişkinlerde problemli sosyal medya kullanımı, dürtüsellik ve psikolojik belirtiler arasındaki ilişki araştırılmıştır.
Yöntem: 178 kişi ile yapılan çalışmada, araştırmayı kabul eden katılımcılara sosyo-demografik Bilgi Formu, Sosyal Medya Bağımlılığı Ölçeği, Barratt Dürtüsellik Ölçeği ve Kısa Belirti Envanteri uygulanmıştır.
Bulgular: Sosyal medya bağımlılık düzeyleri çalışmamıza katılan, sosyal medyada 8 saatten fazla vakit geçiren kadın, bekar, lisansüstü mezunu katılımcılar ile Twitter ve Instagram kullanıcılarında anlamlı olarak daha yüksek bulunmuştur. Sorunlu sosyal medya kullanımı, dürtüsellik ve psikolojik belirtiler arasındaki ilişki incelendiğinde, sosyal medya bağımlılığının sanal hoşgörü ve sanal iletişim alt boyutlarının dürtüsellik ve psikolojik belirtilerin tüm alt boyutları ile pozitif ve anlamlı olarak ilişkili olduğu bulunmuştur. Ayrıca sosyal medya bağımlılığının yordayıcıları incelendiğinde, katılımcıların sosyal medya bağımlılığı puanlarındaki artışın, plansız dürtüsellik, depresyon, anksiyete ve somatizasyon boyutlarıyla anlamlı olarak öngörüldüğü görülmüştür.
Sonuç: Yetişkinlerin günlük yaşamının önemli bir parçası haline gelen sosyal medyanın problemli kullanımıyla ilişkilendirilebilecek önemli düzeyde psikolojik mevcuttur.

References

  • 1.O'MurchuIna, Breslin John G., Decker Stefan, Hogan Deirdre Semantic Social Network Portal for Collaborative Online Communities, Journal of Europe an Industrial Training,2005;Vol.29(6).
  • 2.KomitoLee ; BatesJessica. Virtually Local: Social Media and Community Amo MÖ…ng Polish Nationals in Dublin, Aslib Proceedings:New Information Perspectives 2009;61(3)
  • 3.Batu Mikail, Yeni Bir İletişim Ortamı Olarak Sosyal Medya: Ege Üniversitesi İletişim Fakültesine Yönelik Bir Çalışma Social Media aa a new Communication Environment a Research on EgrUniversityFaculty of Communication. Journal of YasarUniversity 2010 20(5) 3348‐3382.
  • 4.Zendle D, Bowden-Jones H. Is excessiveuse of socialmedia an addiction?BMJ2019;365:l2171.
  • 5.Andreassen CS. Online social network site addiction: a comprehensive review. Curr Addict Rep 2015;2:175-8410.
  • 6.Andreassen CS, Pallesen S, Griffiths MD.The elationship between addictive use of social media, narcissism, and self-esteem: Findingsfrom a large national survey. AddictBehav. 2017 Jan;64:287-293.
  • 7.Van Deursen AJ.AM., Bolle C., Hegner S, Kommers PAM. Modeling habitual and addictive smartphone behavior: The role of smartphoneusagetypes, emotionalintelligence, socialstress, self-regulation, age, andgender. Computers in HumanBehavior.2015;45, 411–420.
  • 8.Ellis DA, Davidson BI, Shaw H, Geyer K. Do smart phone usage scales predict behavior? IntJ Hum Comput Stud 2019;130:86-9210.
  • 9.Lee-Won RJ, Herzog L, Park SG. Hooked on Facebook: the role of social anxiety and need for social assurance in problematic use of Facebook. Cyberpsychol Behav Soc Netw 2015;18:567-74.
  • 10.Van Rooij AJ, Ferguson CJ, Van de Mheen D, Schoenmakers TM. Time to abandon internet addiction? Predicting problematic internet, game, and social media use from psychosocial well-being and application use. Clin Neuropsychiatry 2017;14:113-21.
  • 11.Griffiths MD. Themyth of ‘addictive personality’.Global Journal of Addiction and Rehabilitation Medicine, 2017;3(2), 555610 12.Robbins TW, Clark L. Behavioral addictions. Current Opinion in Neurobiology, 2015;30, 66 –72.
  • 13.Sussman S, Arpawong TE, Sun P, Tsai J, Rohrbach LA, Spruijt-Metz D. (2014). Prevalence and co-occurrence of addictive behaviors among former alternative high school youth. J Behav Addict. 2014 Mar; 3(1): 33–40.
  • 14.Királ, O, Griffiths MD, Urbán R, Farkas J, Kökönyei G, Elekes Z, Demetrovics Z. Problematic internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior, and Social Networking 2014; 17, 749 –754.
  • 15.Salehan M, Negahban A. Socia lnetworking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 2013;29, 2632–2639.
  • 16.Şahin C, Yağcı M. Sosyal Medya Bağımlılığı Ölçeği-Yetişkin Formu: Geçerlilik ve güvenirlik çalışması. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi (KEFAD). 2017;14(1), 523-538.
  • 17.Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol 1995; 51:768-774 18.Güleç H, Tamam L, Yazıcı-Güleç M, Turhan M, Karakuş G, Zengin M. Stanford M.S. Psychometric properties of the Turkish version of The Barratt Impulsiveness Scale-11.Bulletin of Clinical Psychopharmacology 2008;18(4), 251-258.
  • 19.Derogatis LR. The Brief Symptom Inventory (BSI); Administration, scoring and procedures manual I-II. Clinical Psychometric Research Inch. 1992.
  • 20.Şahin NH, Durak A. Kısa Semptom Envanteri: Türk gençleri için uyarlanması. Türk Psikoloji Dergisi 1994; 9(31), 44-56.
  • 21.Andreassen, C. S. Online social network site addiction: A comprehensive review. Current Addiction Reports 2015;2, 175–184.
  • 22.Van Deursen, AJAM., Bolle, CL, Hegner, S, Kommers, PAM. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 2015;45, 411–420.
  • 23.Andreassen, CS, Torsheim T, Pallesen S. Predictors of use of social network sites at work—A specific type of cyberloafing. Journal of Computer-Mediated Communication 2014;19, 906–921.
  • 24.O’Keeffe GS, Clarke-Pearson K, Council on Communications and Media. Theimpact of social media on children, adolescents, and families. Pediatrics, 2011;127(4), 800-804.
  • 25.Ofir Turel, Damien Brevers, Antoine Bechara Time Distortion When Users At-Risk for Social Media Addiction Engage in Non-Social Media Tasks J Psychiatr Res. 2018 Feb;97:84-88.
  • 26.Thorisdottir IE, Sigurvinsdottir ., Asgeirsdottir BB., Allegrante JP, Sigfusdottir I D. Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents. Cyberpsychology, Behavior, and Social Networking. Cyberpsychol Behav Soc Netw 2019 Aug;22(8):535-542.
  • 27.Escobar-Viera CG, Shensa A, Bowman ND, et al. Passive and active social media use and depressive symptoms among United States adults. Cyberpsychology, Behavior and Social Networking 2018; 21:437–443.
  • 28.Ryu, H. et al. The relationship between impulsivity and Internet gaming disorder in young adults: Mediating effects of interpersonal relationships and depression. Int. J. Env. Res. Public. Health 2018;15, 1–11,
  • 29.Bothe, B. et al. Revisiting the role of impulsivity and compulsivity in problematic sexual behaviors. J Sex Res, 2018;1–14.
  • 30.Wegmann E, Müller SM, Turel O, and Brand M. Interactions of impulsivity, general executive functions, and specific inhibitory control explain symptoms of social-networks-use disorder: An experimental study Sci Rep. 2020; 10: 3866.
  • 31.Bargeron AH, Hormes, JM. Psychosocial correlates of Internet gaming disorder: Psychopathology, life satisfaction, andimpulsivity. Comput. Hum. Behav. 2017; 68, 388–394,
  • 32.Ingibjorg Eva Thorisdottir, Rannveig Sigurvinsdottir , Bryndis Bjork Asgeirsdottir, John P Allegrante , Inga Dora Sigfusdottir. Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents Cyberpsychol Behav Soc Netw. 2019 Aug;22(8):535-542.
  • 33.Wang X, Sun C. Yao Y, Liang L Extension of the definition of tolerance and an application thereof in the calculation of dimension chains The International Journal of Advanced Manufacturing Technology 2014; 71, pages1069–1076.

Relationship Between Psychological Symptoms, Impulsivity and Social Media Use Problems

Year 2021, Volume: 22 Issue: 1, 43 - 52, 31.03.2021
https://doi.org/10.51982/bagimli.793837

Abstract

Objective: In this pilot study, the relationship between problematic social media use, impulsivity, and psychological symptoms in adults was investigated.
Method: In this study conducted with 178 people, demographic information form, Social Media Addiction Scale, Barratt Impulsiveness Scale and Brief Symptom Inventory were applied to the participants.
Results: Social media addiction levels of the participants were found to be significantly higher in women, singles, graduate graduates, those who spend more than 8 hours in social media, and Twitter and Instagram users. When the relationship between problematic social media use, impulsivity, and psychological symptoms was examined, virtual tolerance and virtual communication sub-dimensions of social media addiction were positively and significantly related to all sub-dimensions of impulsivity and psychological symptoms. In addition, the increase in the social media addiction scores of the participants was significantly predicted by the dimensions of unplanned impulsivity, depression, anxiety and somatization.
Conclusion: There are significant psychological factors that may be associated with the problematic use of social media, which has become an important part of the daily life of adults.

References

  • 1.O'MurchuIna, Breslin John G., Decker Stefan, Hogan Deirdre Semantic Social Network Portal for Collaborative Online Communities, Journal of Europe an Industrial Training,2005;Vol.29(6).
  • 2.KomitoLee ; BatesJessica. Virtually Local: Social Media and Community Amo MÖ…ng Polish Nationals in Dublin, Aslib Proceedings:New Information Perspectives 2009;61(3)
  • 3.Batu Mikail, Yeni Bir İletişim Ortamı Olarak Sosyal Medya: Ege Üniversitesi İletişim Fakültesine Yönelik Bir Çalışma Social Media aa a new Communication Environment a Research on EgrUniversityFaculty of Communication. Journal of YasarUniversity 2010 20(5) 3348‐3382.
  • 4.Zendle D, Bowden-Jones H. Is excessiveuse of socialmedia an addiction?BMJ2019;365:l2171.
  • 5.Andreassen CS. Online social network site addiction: a comprehensive review. Curr Addict Rep 2015;2:175-8410.
  • 6.Andreassen CS, Pallesen S, Griffiths MD.The elationship between addictive use of social media, narcissism, and self-esteem: Findingsfrom a large national survey. AddictBehav. 2017 Jan;64:287-293.
  • 7.Van Deursen AJ.AM., Bolle C., Hegner S, Kommers PAM. Modeling habitual and addictive smartphone behavior: The role of smartphoneusagetypes, emotionalintelligence, socialstress, self-regulation, age, andgender. Computers in HumanBehavior.2015;45, 411–420.
  • 8.Ellis DA, Davidson BI, Shaw H, Geyer K. Do smart phone usage scales predict behavior? IntJ Hum Comput Stud 2019;130:86-9210.
  • 9.Lee-Won RJ, Herzog L, Park SG. Hooked on Facebook: the role of social anxiety and need for social assurance in problematic use of Facebook. Cyberpsychol Behav Soc Netw 2015;18:567-74.
  • 10.Van Rooij AJ, Ferguson CJ, Van de Mheen D, Schoenmakers TM. Time to abandon internet addiction? Predicting problematic internet, game, and social media use from psychosocial well-being and application use. Clin Neuropsychiatry 2017;14:113-21.
  • 11.Griffiths MD. Themyth of ‘addictive personality’.Global Journal of Addiction and Rehabilitation Medicine, 2017;3(2), 555610 12.Robbins TW, Clark L. Behavioral addictions. Current Opinion in Neurobiology, 2015;30, 66 –72.
  • 13.Sussman S, Arpawong TE, Sun P, Tsai J, Rohrbach LA, Spruijt-Metz D. (2014). Prevalence and co-occurrence of addictive behaviors among former alternative high school youth. J Behav Addict. 2014 Mar; 3(1): 33–40.
  • 14.Királ, O, Griffiths MD, Urbán R, Farkas J, Kökönyei G, Elekes Z, Demetrovics Z. Problematic internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior, and Social Networking 2014; 17, 749 –754.
  • 15.Salehan M, Negahban A. Socia lnetworking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 2013;29, 2632–2639.
  • 16.Şahin C, Yağcı M. Sosyal Medya Bağımlılığı Ölçeği-Yetişkin Formu: Geçerlilik ve güvenirlik çalışması. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi (KEFAD). 2017;14(1), 523-538.
  • 17.Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol 1995; 51:768-774 18.Güleç H, Tamam L, Yazıcı-Güleç M, Turhan M, Karakuş G, Zengin M. Stanford M.S. Psychometric properties of the Turkish version of The Barratt Impulsiveness Scale-11.Bulletin of Clinical Psychopharmacology 2008;18(4), 251-258.
  • 19.Derogatis LR. The Brief Symptom Inventory (BSI); Administration, scoring and procedures manual I-II. Clinical Psychometric Research Inch. 1992.
  • 20.Şahin NH, Durak A. Kısa Semptom Envanteri: Türk gençleri için uyarlanması. Türk Psikoloji Dergisi 1994; 9(31), 44-56.
  • 21.Andreassen, C. S. Online social network site addiction: A comprehensive review. Current Addiction Reports 2015;2, 175–184.
  • 22.Van Deursen, AJAM., Bolle, CL, Hegner, S, Kommers, PAM. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 2015;45, 411–420.
  • 23.Andreassen, CS, Torsheim T, Pallesen S. Predictors of use of social network sites at work—A specific type of cyberloafing. Journal of Computer-Mediated Communication 2014;19, 906–921.
  • 24.O’Keeffe GS, Clarke-Pearson K, Council on Communications and Media. Theimpact of social media on children, adolescents, and families. Pediatrics, 2011;127(4), 800-804.
  • 25.Ofir Turel, Damien Brevers, Antoine Bechara Time Distortion When Users At-Risk for Social Media Addiction Engage in Non-Social Media Tasks J Psychiatr Res. 2018 Feb;97:84-88.
  • 26.Thorisdottir IE, Sigurvinsdottir ., Asgeirsdottir BB., Allegrante JP, Sigfusdottir I D. Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents. Cyberpsychology, Behavior, and Social Networking. Cyberpsychol Behav Soc Netw 2019 Aug;22(8):535-542.
  • 27.Escobar-Viera CG, Shensa A, Bowman ND, et al. Passive and active social media use and depressive symptoms among United States adults. Cyberpsychology, Behavior and Social Networking 2018; 21:437–443.
  • 28.Ryu, H. et al. The relationship between impulsivity and Internet gaming disorder in young adults: Mediating effects of interpersonal relationships and depression. Int. J. Env. Res. Public. Health 2018;15, 1–11,
  • 29.Bothe, B. et al. Revisiting the role of impulsivity and compulsivity in problematic sexual behaviors. J Sex Res, 2018;1–14.
  • 30.Wegmann E, Müller SM, Turel O, and Brand M. Interactions of impulsivity, general executive functions, and specific inhibitory control explain symptoms of social-networks-use disorder: An experimental study Sci Rep. 2020; 10: 3866.
  • 31.Bargeron AH, Hormes, JM. Psychosocial correlates of Internet gaming disorder: Psychopathology, life satisfaction, andimpulsivity. Comput. Hum. Behav. 2017; 68, 388–394,
  • 32.Ingibjorg Eva Thorisdottir, Rannveig Sigurvinsdottir , Bryndis Bjork Asgeirsdottir, John P Allegrante , Inga Dora Sigfusdottir. Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents Cyberpsychol Behav Soc Netw. 2019 Aug;22(8):535-542.
  • 33.Wang X, Sun C. Yao Y, Liang L Extension of the definition of tolerance and an application thereof in the calculation of dimension chains The International Journal of Advanced Manufacturing Technology 2014; 71, pages1069–1076.
There are 31 citations in total.

Details

Primary Language English
Subjects Psychiatry
Journal Section Research
Authors

Ömer Tutal This is me 0000-0002-8152-8426

Habib Erensoy 0000-0002-4278-2739

Melek Luş 0000-0002-0430-9289

Publication Date March 31, 2021
Acceptance Date September 22, 2020
Published in Issue Year 2021 Volume: 22 Issue: 1

Cite

AMA Tutal Ö, Erensoy H, Luş M. Relationship Between Psychological Symptoms, Impulsivity and Social Media Use Problems. Bağımlılık Dergisi. March 2021;22(1):43-52. doi:10.51982/bagimli.793837

Bağımlılık Dergisi - Journal of Dependence