Research Article
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Investigation of the relationship between digital obesity status and alexithymia in young people aged 10-24

Year 2025, Volume: 9 Issue: 2, 156 - 162, 25.08.2025
https://doi.org/10.57127/kpd.26024438.1544535

Abstract

In today's rapidly digitalizing world, concepts such as digital obesity and alexithymia are becoming increasingly important. This study aims to examine the relationship between digital obesity and alexithymia in young people aged 10-24. In addition, it is aimed to raise awareness about the effects of digital technologies on health and to contribute to individuals developing healthier digital habits. This descriptive and correlational study was conducted between May 2023 and July 2023 with individuals between the ages of 10-24 (N = 391) in schools affiliated with Ağrı Provincial Directorate of National Education and Ağrı Ibrahim Çeçen University. The SPSS 22 package program and R programming language 4.1.3 were used in the study. It was found that as the digital obesity status of young people increased, the level of alexithymia also increased. In addition, it was determined that the Elastic Network Regression method is the best model that can be used to predict the level of alexithymia. According to Shapley value, the most important variable in predicting alexithymia was found to be digital obesity. In the study, it was determined that as the level of digital obesity increased, the level of alexithymia also increased. In combating digital obesity and alexithymia, it is recommended to provide educational programs and guidance services to encourage individuals to develop conscious digital usage habits.

Ethical Statement

The individuals to participate in the study were select-ed on a voluntary basis. Ethics committee approval was obtained from the Scientific Research and Publication Ethics Committee for the study (dated 25.05.2023 and numbered 121). Permission was obtained from the rele-vant institution where the study was conducted. The Helsinki Declaration of Human Rights was adhered to throughout the study to protect individual rights.

Supporting Institution

This study was carried out with the project code "DAHMYO.23.001" with Ağrı İbrahim Çeçen University Scientific Supported by the Research Project.

Project Number

DAHMYO.23.001

Thanks

Conflict of Interest The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Informed Consent Before participation in the study, all participants provided informed consent. Project/Funding Information This study was carried out with the project code "DAHMYO.23.001" with Ağrı İbrahim Çeçen University Scientific Supported by the Research Project. Data Sharing/Availability Data is available upon reasonable request. Author Contributions M.S.Y. designed this review paper. M.S.Y. collected the data, prepared the figures, and wrote the manuscript. M.S.Y. contributed to the discussion and revised the manuscript. All authors read and approved the final manuscript. Acknowledgments The author wishes to thank all participants for engaging in this study.

References

  • Amran, M. S., & Jamaluddin, K. A. (2022). Adolescent screen time associated with risk factor of fear of missing out during pandemic Covid-19. Cyberpsychology, Behavior, and Social Networking, 25(6), 398-403.
  • 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.
  • Barakat, S., McLean, S. A., Bryant, E., Le, A., Marks, P., Touyz, S., & Maguire, S. (2023). Risk factors for eating disorders: Findings from a rapid review. Journal of Eating Disorders, 11(1), 8.
  • Berry, R., Kassavou, A., & Sutton, S. (2021). Does self‐monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta‐analysis. Obesity Reviews, 22(10), e13306.
  • Chalah, M. A., & Ayache, S. S. (2017). Alexithymia in multiple sclerosis: A systematic review of literature. Neuropsychologia, 104, 31-47.
  • Chung, S., & Lee, H. K. (2023). Public health approach to problems related to excessive and addictive use of the internet and digital media. Current Addiction Reports, 10(1), 69-76.
  • Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98-101.
  • DeVille, N. V., Tomasso, L. P., Stoddard, O. P., Wilt, G. E., Horton, T. H., Wolf, K. L., Brymer, E., Kahn Jr, P. H., & James, P. (2021). Time spent in nature is associated with increased pro-environmental attitudes and behaviors. International Journal of Environmental Research and Public Health, 18(14), 7498.
  • Di Domenico, G., Sit, J., Ishizaka, A., & Nunan, D. (2021). Fake news, social media and marketing: A systematic review. Journal of Business Research, 124, 329-341.
  • Ding, Y., Wan, X., Lu, G., Huang, H., Liang, Y., Yu, J., & Chen, C. (2022). The associations between smartphone addiction and self-esteem, self-control, and social support among Chinese adolescents: A meta-analysis. Frontiers in Psychology, 13, 1029323.
  • Donges, U.-S., & Suslow, T. (2017). Alexithymia and automatic processing of emotional stimuli: A systematic review. Reviews in the Neurosciences, 28(3), 247-264.
  • Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., & Cheung, C. M. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542.
  • Gaggero, G., Bonassi, A., Dellantonio, S., Pastore, L., Aryadoust, V., & Esposito, G. (2020). A scientometric review of alexithymia: Mapping thematic and disciplinary shifts in half a century of research. Frontiers in Psychiatry, 11, 611489.
  • Güleç, H., Kose, S., Citak, S., & Yazici, M. (2009). The Turkish version of the 20-Item Toronto Alexithymia Scale (TAS-20): Reliability, validity, and factorial structure. Bulletin of Clinical Psychopharmacology, 19(3), 214-220. Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285.
  • Hussain, Z., Kircaburun, K., Savcı, M., & Griffiths, M. (2023). The role of aggression in the association of cyberbullying victimization with cyberbullying perpetration and problematic social media use among adolescents. Journal of Concurrent Disorders.
  • Kiefer, R., Orchowski, L. M., Raudales, A. M., & Weiss, N. H. (2024). Role of alexithymia in the association between childhood abuse and risk perception for sexual victimization in college women. Journal of Interpersonal Violence, 39(3-4), 756-784.
  • Koçoğlu, E., Demir, F. B., & Ulukaya Öteleş, Ü. (2022). The Digital Obesity Scale: A scale development study. African Educational Research Journal, 10(2), 117-124.
  • Lee, S., Kim, J. H., & Chung, J. H. (2021). The association between sleep quality and quality of life: A population-based study. Sleep Medicine, 84, 121-126.
  • Leshem, R., van Lieshout, P. H., Ben‐David, S., & Ben‐David, B. M. (2019). Does emotion matter? The role of alexithymia in violent recidivism: A systematic literature review. Criminal Behaviour and Mental Health, 29(2), 94-110.
  • López-Muñoz, F., & Pérez-Fernández, F. (2020). A history of the alexithymia concept and its explanatory models: An epistemological perspective. Frontiers in Psychiatry, 10, 505196.
  • McLuhan, M. (2023). We shape our tools, and thereafter our tools shape us. In Feeling unreal: Depersonalization and the loss of the self (p. 240). Oxford University Press.
  • Messena, M., & Everri, M. (2023). Unpacking the relation between children’s use of digital technologies and children’s well-being: A scoping review. Clinical Child Psychology and Psychiatry, 28(1), 161-198.
  • Mustač, F., Galijašević, T., Podolski, E., Belančić, A., Matovinović, M., & Marčinko, D. (2023). Recent advances in psychotherapeutic treatment and understanding of alexithymia in patients with obesity and Diabetes Mellitus Type 2. Diabetology, 4(4), 481-489.
  • Pandya, A., & Lodha, P. (2021). Social connectedness, excessive screen time during COVID-19 and mental health: A review of current evidence. Frontiers in Human Dynamics, 3, 684137.
  • Pellegrino, A., & Stasi, A. (2022). Research trends in social media addiction and problematic social media use: A bibliometric analysis. Frontiers in Psychiatry, 13, 1017506.
  • Rahmawati, M., Ruslan, A., & Bandarsyah, D. (2021). The era of society 5.0 as the unification of humans and technology: A literature review on materialism and existentialism. Jurnal Sosiologi Dialektika, 16(2), 151.
  • Salih, K. O. M., Rashid, T. A., Radovanovic, D., & Bacanin, N. (2022). A comprehensive survey on the internet of things with the industrial marketplace. Sensors, 22(3), 730.
  • Santos, R. M. S., Mendes, C. G., Sen Bressani, G. Y., de Alcantara Ventura, S., de Almeida Nogueira, Y. J., de Miranda, D. M., & Romano-Silva, M. A. (2023). The associations between screen time and mental health in adolescents: A systematic review. BMC Psychology, 11(1), 127.
  • Solati, K., Ghasemi, M., & Mohammadi, D. (2018). The relationship of internet addiction with quality of life and alexithymia in students in Iran. Journal of Clinical & Diagnostic Research, 12(12), VC06-VC09.
  • Şenol, Y., Şenol, F. B., & Can Yaşar, M. (2023). Digital game addiction of preschool children in the Covid-19 pandemic: Social emotional development and parental guidance. Current Psychology, 1-9.
  • Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics (Vol. 6). Pearson Boston, MA.
  • Tonelli, H., & de Siqueira Rotenberg, L. (2021). Emotion perception and theory of mind in obesity: A systematic review on the impact of social cognitive deficits on dysfunctional eating behaviors. Surgery for Obesity and Related Diseases, 17(3), 618-629.
  • Vaioli, G., & Scarpina, F. (2021). Facial emotion recognition in obesity and in fibromyalgia: A systematic review. NeuroSci, 2(4), 339-352.
  • Westwood, H., Kerr-Gaffney, J., Stahl, D., & Tchanturia, K. (2017). Alexithymia in eating disorders: Systematic review and meta-analyses of studies using the Toronto Alexithymia Scale. Journal of Psychosomatic Research, 99, 66-81.
  • Youssef, L., Hallit, R., Akel, M., Kheir, N., Obeid, S., & Hallit, S. (2021). Social media use disorder and alexithymia: Any association between the two? Results of a cross‐sectional study among Lebanese adults. Perspectives in Psychiatric Care, 57(1), 20-26.

10-24 yaş arası gençlerde dijital obezite durumu ile aleksitimi arasındaki ilişkinin incelenmesi

Year 2025, Volume: 9 Issue: 2, 156 - 162, 25.08.2025
https://doi.org/10.57127/kpd.26024438.1544535

Abstract

Günümüzün hızla dijitalleşen dünyasında dijital obezite ve aleksitimi gibi kavramlar giderek önem kazanmaktadır. Bu çalışmanın amacı, 10-24 yaş arası gençlerde dijital obezite durumu ile aleksitimi arasındaki ilişkiyi incelemektir. Bununla birlikte dijital teknolojilerin sağlık üzerindeki etkileri konusunda farkındalık yaratılması ve bireylerin daha sağlıklı dijital alışkanlıklar geliştirmesine katkı sağlanması hedeflenmektedir. Tanımlayıcı ve ilişki arayıcı desende gerçekleştirilmiş olan bu çalışma, Mayıs 2023-Temmuz 2023 tarihleri arasında Ağrı İl Milli Eğitim Müdürlüğü ve Ağrı İbrahim Çeçen Üniversitesi'ne bağlı okullardaki 10-24 yaş aralığındaki bireylerle (N = 391) yürütülmüştür. Çalışmada SPSS 22 paket programı ve R programlama dili 4.1.3 kullanılmıştır. Gençlerin dijital obezite durumu arttıkça aleksitimi düzeyinin de arttığı tespit edilmiştir. Ayrıca, Elastik Ağ Regresyonu yönteminin aleksitimi düzeyini tahmin etmek için kullanılabilecek en iyi model olduğu belirlenmiştir. Shapley değerine göre aleksitimiyi yordamada en önemli değişken dijital obezite olarak bulunmuştur. Çalışmada dijital obezite düzeyi arttıkça aleksitimi düzeyinin de arttığı belirlenmiştir. Dijital obezite ve aleksitimi ile mücadelede, bireylerin bilinçli dijital kullanım alışkanlıkları geliştirmelerini teşvik edecek eğitim programları ve rehberlik hizmetlerinin sunulması önerilmektedir.

Ethical Statement

The individuals to participate in the study were select-ed on a voluntary basis. Ethics committee approval was obtained from the Scientific Research and Publication Ethics Committee for the study (dated 25.05.2023 and numbered 121). Permission was obtained from the rele-vant institution where the study was conducted. The Helsinki Declaration of Human Rights was adhered to throughout the study to protect individual rights.

Supporting Institution

This study was carried out with the project code "DAHMYO.23.001" with Ağrı İbrahim Çeçen University Scientific Supported by the Research Project.

Project Number

DAHMYO.23.001

Thanks

Conflict of Interest The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Informed Consent Before participation in the study, all participants provided informed consent. Project/Funding Information This study was carried out with the project code "DAHMYO.23.001" with Ağrı İbrahim Çeçen University Scientific Supported by the Research Project. Data Sharing/Availability Data is available upon reasonable request. Author Contributions M.S.Y. designed this review paper. M.S.Y. collected the data, prepared the figures, and wrote the manuscript. M.S.Y. contributed to the discussion and revised the manuscript. All authors read and approved the final manuscript. Acknowledgments The author wishes to thank all participants for engaging in this study.

References

  • Amran, M. S., & Jamaluddin, K. A. (2022). Adolescent screen time associated with risk factor of fear of missing out during pandemic Covid-19. Cyberpsychology, Behavior, and Social Networking, 25(6), 398-403.
  • 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.
  • Barakat, S., McLean, S. A., Bryant, E., Le, A., Marks, P., Touyz, S., & Maguire, S. (2023). Risk factors for eating disorders: Findings from a rapid review. Journal of Eating Disorders, 11(1), 8.
  • Berry, R., Kassavou, A., & Sutton, S. (2021). Does self‐monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta‐analysis. Obesity Reviews, 22(10), e13306.
  • Chalah, M. A., & Ayache, S. S. (2017). Alexithymia in multiple sclerosis: A systematic review of literature. Neuropsychologia, 104, 31-47.
  • Chung, S., & Lee, H. K. (2023). Public health approach to problems related to excessive and addictive use of the internet and digital media. Current Addiction Reports, 10(1), 69-76.
  • Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98-101.
  • DeVille, N. V., Tomasso, L. P., Stoddard, O. P., Wilt, G. E., Horton, T. H., Wolf, K. L., Brymer, E., Kahn Jr, P. H., & James, P. (2021). Time spent in nature is associated with increased pro-environmental attitudes and behaviors. International Journal of Environmental Research and Public Health, 18(14), 7498.
  • Di Domenico, G., Sit, J., Ishizaka, A., & Nunan, D. (2021). Fake news, social media and marketing: A systematic review. Journal of Business Research, 124, 329-341.
  • Ding, Y., Wan, X., Lu, G., Huang, H., Liang, Y., Yu, J., & Chen, C. (2022). The associations between smartphone addiction and self-esteem, self-control, and social support among Chinese adolescents: A meta-analysis. Frontiers in Psychology, 13, 1029323.
  • Donges, U.-S., & Suslow, T. (2017). Alexithymia and automatic processing of emotional stimuli: A systematic review. Reviews in the Neurosciences, 28(3), 247-264.
  • Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., & Cheung, C. M. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542.
  • Gaggero, G., Bonassi, A., Dellantonio, S., Pastore, L., Aryadoust, V., & Esposito, G. (2020). A scientometric review of alexithymia: Mapping thematic and disciplinary shifts in half a century of research. Frontiers in Psychiatry, 11, 611489.
  • Güleç, H., Kose, S., Citak, S., & Yazici, M. (2009). The Turkish version of the 20-Item Toronto Alexithymia Scale (TAS-20): Reliability, validity, and factorial structure. Bulletin of Clinical Psychopharmacology, 19(3), 214-220. Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285.
  • Hussain, Z., Kircaburun, K., Savcı, M., & Griffiths, M. (2023). The role of aggression in the association of cyberbullying victimization with cyberbullying perpetration and problematic social media use among adolescents. Journal of Concurrent Disorders.
  • Kiefer, R., Orchowski, L. M., Raudales, A. M., & Weiss, N. H. (2024). Role of alexithymia in the association between childhood abuse and risk perception for sexual victimization in college women. Journal of Interpersonal Violence, 39(3-4), 756-784.
  • Koçoğlu, E., Demir, F. B., & Ulukaya Öteleş, Ü. (2022). The Digital Obesity Scale: A scale development study. African Educational Research Journal, 10(2), 117-124.
  • Lee, S., Kim, J. H., & Chung, J. H. (2021). The association between sleep quality and quality of life: A population-based study. Sleep Medicine, 84, 121-126.
  • Leshem, R., van Lieshout, P. H., Ben‐David, S., & Ben‐David, B. M. (2019). Does emotion matter? The role of alexithymia in violent recidivism: A systematic literature review. Criminal Behaviour and Mental Health, 29(2), 94-110.
  • López-Muñoz, F., & Pérez-Fernández, F. (2020). A history of the alexithymia concept and its explanatory models: An epistemological perspective. Frontiers in Psychiatry, 10, 505196.
  • McLuhan, M. (2023). We shape our tools, and thereafter our tools shape us. In Feeling unreal: Depersonalization and the loss of the self (p. 240). Oxford University Press.
  • Messena, M., & Everri, M. (2023). Unpacking the relation between children’s use of digital technologies and children’s well-being: A scoping review. Clinical Child Psychology and Psychiatry, 28(1), 161-198.
  • Mustač, F., Galijašević, T., Podolski, E., Belančić, A., Matovinović, M., & Marčinko, D. (2023). Recent advances in psychotherapeutic treatment and understanding of alexithymia in patients with obesity and Diabetes Mellitus Type 2. Diabetology, 4(4), 481-489.
  • Pandya, A., & Lodha, P. (2021). Social connectedness, excessive screen time during COVID-19 and mental health: A review of current evidence. Frontiers in Human Dynamics, 3, 684137.
  • Pellegrino, A., & Stasi, A. (2022). Research trends in social media addiction and problematic social media use: A bibliometric analysis. Frontiers in Psychiatry, 13, 1017506.
  • Rahmawati, M., Ruslan, A., & Bandarsyah, D. (2021). The era of society 5.0 as the unification of humans and technology: A literature review on materialism and existentialism. Jurnal Sosiologi Dialektika, 16(2), 151.
  • Salih, K. O. M., Rashid, T. A., Radovanovic, D., & Bacanin, N. (2022). A comprehensive survey on the internet of things with the industrial marketplace. Sensors, 22(3), 730.
  • Santos, R. M. S., Mendes, C. G., Sen Bressani, G. Y., de Alcantara Ventura, S., de Almeida Nogueira, Y. J., de Miranda, D. M., & Romano-Silva, M. A. (2023). The associations between screen time and mental health in adolescents: A systematic review. BMC Psychology, 11(1), 127.
  • Solati, K., Ghasemi, M., & Mohammadi, D. (2018). The relationship of internet addiction with quality of life and alexithymia in students in Iran. Journal of Clinical & Diagnostic Research, 12(12), VC06-VC09.
  • Şenol, Y., Şenol, F. B., & Can Yaşar, M. (2023). Digital game addiction of preschool children in the Covid-19 pandemic: Social emotional development and parental guidance. Current Psychology, 1-9.
  • Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics (Vol. 6). Pearson Boston, MA.
  • Tonelli, H., & de Siqueira Rotenberg, L. (2021). Emotion perception and theory of mind in obesity: A systematic review on the impact of social cognitive deficits on dysfunctional eating behaviors. Surgery for Obesity and Related Diseases, 17(3), 618-629.
  • Vaioli, G., & Scarpina, F. (2021). Facial emotion recognition in obesity and in fibromyalgia: A systematic review. NeuroSci, 2(4), 339-352.
  • Westwood, H., Kerr-Gaffney, J., Stahl, D., & Tchanturia, K. (2017). Alexithymia in eating disorders: Systematic review and meta-analyses of studies using the Toronto Alexithymia Scale. Journal of Psychosomatic Research, 99, 66-81.
  • Youssef, L., Hallit, R., Akel, M., Kheir, N., Obeid, S., & Hallit, S. (2021). Social media use disorder and alexithymia: Any association between the two? Results of a cross‐sectional study among Lebanese adults. Perspectives in Psychiatric Care, 57(1), 20-26.
There are 35 citations in total.

Details

Primary Language English
Subjects Child and Adolescent Development
Journal Section Research Articles
Authors

Mehmet Salih Yıldırım 0000-0003-2632-4583

Project Number DAHMYO.23.001
Publication Date August 25, 2025
Submission Date September 6, 2024
Acceptance Date November 8, 2024
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Yıldırım, M. S. (2025). Investigation of the relationship between digital obesity status and alexithymia in young people aged 10-24. Journal of Clinical Psychology Research, 9(2), 156-162. https://doi.org/10.57127/kpd.26024438.1544535