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EDITORIAL article

Front. Hum. Neurosci., 12 October 2023
Sec. Cognitive Neuroscience
This article is part of the Research Topic New Addictions in the Era of Digitalization View all 8 articles

Editorial: New addictions in the era of digitalization

\r\nGergely Feher
Gergely Feher1*Antal TiboldAntal Tibold1Graca EsgalhadoGraca Esgalhado2
  • 1Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, Hungary
  • 2Department of Psychology and Education, Faculty of Social and Human Sciences, University of Beira Interior, Pólo IV, Covilhã, Portugal

Editorial on the Research Topic
New addictions in the era of digitalization

In addition to many positive effects of the rise of digitization, its dark sides have also been recognized such as problematic usage of the internet (PUI), smartphone addiction or no-mobile phobia (nomophobia). In 2020, the World Health Organization (WHO) formally recognized and labeled digital device addiction as a widespread problem as online activities and compulsive internet use (or problematic usage of the internet) can affect a significant proportion of the whole population worldwide (Dresp-Langley and Hutt, 2022). A recent meta analysis reported an increased rate of digital addiction in the last two decades, pooled prevalence estimates were ~27% for smartphone addiction, 17.5% for social media addiction, 14% for problematic usage of the internet, 8% for cybersex addiction, and 6% for problematic gaming (Meng et al., 2022).

Probably PUI is the most extensively studied digital addiction of our century. It is rather an umbrella term than a single diagnosis and it is still a matter of debate whether general internet addiction is different from its subtypes (if these are subtypes or they are different entities) as seen above (Fineberg et al., 2022).

Several demographic and socioeconomic factors such as male gender, younger age at the onset of digital device use, daily time interval and geographical differences (more common is East-Asia) seem to be predecessors of the phenomena as well as (the lack of) parental control or family conflicts (poor children-parents relationships) but results are inconclusive (Toth et al., 2021; Fineberg et al., 2022). Several personality traits are also strongly related to the phenomena (Fineberg et al., 2022).

In their interesting study Wei et al. examined the role of zhongyong thinking on internet addiction including a large number of participants. Zhongyong thinking coversmulti-thinking (consider things from different perspectives), holism (ability to coordinate with others) and harmoniousness (tendency to avoid potential conflicts), which seems to be protective against PUI through mediating maladaptive cognition (Wu and Lin, 2005).

Boredom can easily be alleviated by digital devices. Boredom susceptibility is a relatively rarely studied personality trait, which can be a risk factor for compulsive digital device use. A recent meta analysis confirmed the role of boredom on general internet use, but it also can be related to PUI, however, future studies are needed (Camerini et al., 2023). Cannito et al. studied the above mentioned association with the inclusion of 69 young adults using a dot-probe task assessing internet-related attentional bias and questionnaires detecting potential PUI and susceptibility to boredom. Based on their results the tendency to experience boredom (and also the selective attention toward social network information) was strongly related to PUI highlighting the potential role of selective attentional processing at the background of compulsive internet use.

PUI seems to be associated with a cluster of mental and physical illnesses such as depression, autism, overweight, eating disorders (Aghasi et al., 2020; Toth et al., 2021; Fineberg et al., 2022). Interestingly, a relatively few studies focused on the association of burnout and PUI, which may share similar risk factors and consequences and they are still labeled as phenomena and not as medical conditions despite intensive research carried out in the last decades (Toth et al., 2021). In their study involving ~2,500 adolescents Feher et al. showed significant associations among PUI, insomnia, depression and burnout after the setup of a logistic regression model.

The predecessors of problematic online behaviors extensively studied, but relatively few studies focused on protective factors such as positive youth development (PYD). In their interesting follow-up study Gan et al. showed the positive effect of PYD on depression, internet gaming disorder and cyberbullying/victimization during the recent pandemic, which may have had a negative impact on digital addictions, but seems to be a transient phenomenon to cope with isolation and psychological distress, however, long-term effects are still unknown (Casale et al., 2023).

Mobile phone addiction is also a well-known digital addiction with extensively growing literature. Probablysocial media applications are the most extensively used functions and mobile social media addiction is one of the main determinants of global mobile addiction (Gao et al., 2022). Peer pressure is a main element of compulsive use and may be mediated by personality traits. In their interesting study Xu et al. showed the significant effect of peer pressure on mobile social media addiction among adolescents, and peer pressure was more likely mediated by self-esteem than self-concept.

Vast majority of digital addictions studies usually recruit adolescents and older individuals are relatively sparsely studied. These populations may have different risk factors and predecessors of compulsive digital use (Ioannidis et al., 2018). In a Chinese study by Xu et al. including 371 adults aged ≥45 years showed that the feeling of cognitive decline and impaired family relationships can be associated with mobile addiction mediated by the feeling of alienation, opening new horizons in understanding the digital addiction of this age group.

Finally, apart from the above mentioned potential harmful effects, the use of digital technologies open new pathways in patient management. Ren et al. showed the efficacy of 5G-based teleultrasound robotic diagnostic system in abdominal scanning, which does not require the presence of radiologist. These technologies can apply in underserved areas widening the accessibility of healthcare services.

Author contributions

GF: Writing—original draft, Writing—review and editing. AT: Writing—original draft, Writing—review and editing. GE: Writing—original draft, Writing—review and editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Aghasi, M., Matinfar, A., Golzarand, M., Salari-Moghaddam, A., and Ebrahimpour-Koujan, S. (2020). Internet use in relation to overweight and obesity: a systematic review and meta-analysis of cross-sectional studies. Adv Nutr. 11, 349–356. doi: 10.1093/advances/nmz073

PubMed Abstract | CrossRef Full Text | Google Scholar

Camerini, A. L., Morlino, S., and Marciano, L. (2023). Boredom and digital media use: a systematic review and meta-analysis. Comput. Hum. Behav. Rep. 11, 100313. doi: 10.1016/j.chbr.2023.100313

CrossRef Full Text | Google Scholar

Casale, S., Akbari, M., Seydavi, M., Bocci Benucci, S., and Fioravanti, G. (2023). Has the prevalence of problematic social media use increased over the past seven years and since the start of the COVID-19 pandemic? A meta-analysis of the studies published since the development of the Bergen social media addiction scale. Addict. Behav. 147, 107838. doi: 10.1016/j.addbeh.2023.107838

PubMed Abstract | CrossRef Full Text | Google Scholar

Dresp-Langley, B., and Hutt, A. (2022). Digital addiction and sleep. Int. J. Environ. Res. Public Health 19, 6910. doi: 10.3390/ijerph19116910

CrossRef Full Text | Google Scholar

Fineberg, N. A., Menchón, J. M., Hall, N., Dell'Osso, B., Brand, M., Potenza, M. N., et al. (2022). Advances in problematic usage of the internet research - a narrative review by experts from the European network for problematic usage of the internet. Compr Psychiatry 118, 152346. doi: 10.1016/j.comppsych.2022.152346

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Q., Zheng, H., Sun, R., and Lu, S. (2022). Parent-adolescent relationships, peer relationships, and adolescent mobile phone addiction: the mediating role of psychological needs satisfaction. Addict. Behav. 129, 107260. doi: 10.1016/j.addbeh.2022.107260

PubMed Abstract | CrossRef Full Text | Google Scholar

Ioannidis, K., Treder, M. S., Chamberlain, S. R., Kiraly, F., Redden, S. A., Stein, D. J., et al. (2018). Problematic internet use as an age-related multifaceted problem: evidence from a two-site survey. Addict. Behav. 81, 157–166. doi: 10.1016/j.addbeh.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, S. Q., Cheng, J. L. L. i. Y. Y., Yang, X. Q., Zheng, J. W., Chang, X. W., Shi, Y., et al. (2022). Global prevalence of digital addiction in general population: a systematic review and meta-analysis. Clin. Psychol. Rev. 92, 102128. doi: 10.1016/j.cpr.2022.102128

PubMed Abstract | CrossRef Full Text | Google Scholar

Toth, G., Kapus, K., Hesszenberger, D., Pohl, M., Kosa, G., Kiss, J., et al. (2021). Internet addiction and burnout in a single hospital: is there any association? Int. J. Environ. Res. Public Health 18, 615. doi: 10.3390/ijerph18020615

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J. H., and Lin, Y. Z. (2005). Development of a Zhong-yong thinking style scale. Indig. Psychol. Res. Chin. Soc. 24, 247–300.

Google Scholar

Keywords: internet, addiction, editorial, special issue, digitalization and e-health

Citation: Feher G, Tibold A and Esgalhado G (2023) Editorial: New addictions in the era of digitalization. Front. Hum. Neurosci. 17:1302635. doi: 10.3389/fnhum.2023.1302635

Received: 26 September 2023; Accepted: 02 October 2023;
Published: 12 October 2023.

Edited and reviewed by: Lutz Jäncke, University of Zurich, Switzerland

Copyright © 2023 Feher, Tibold and Esgalhado. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gergely Feher, feher.gergely@pte.hu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.