Abstract
The enigma of smartphone and internet addiction has plagued academics for the last decade, now scholars believe this behavior might have a substantial effect on human health and social issues. However, there are literature gaps. Thus, BMC Psychiatry works with us to launch the special collection “Smartphone and Internet Addiction”.
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Smartphone represents one of the most prominent technology advancements in the 21st century [1]. It extends the basic function of telephoning (i.e., for distant communication) to entertainment (e.g., gaming and video watching), social networking (e.g., social media use of WhatsApp and Facebook), financial management (e.g., online banking), learning and working (e.g., virtual meeting), etc. Although the powerful function of the technology is convenient for its users, a minority of smartphone users may have some problems of using smartphone properly [2, 3]. Because of the potential harms caused by the smartphone and internet, the scholarship focused on behavioral addictions has discussed this issue and pointed out some fundamental issue with smartphone use [4,5,6]. Accordingly, both American Psychiatric Association and World Health Organization have been aware of smartphone-related issues. Thus, they have attempted to define disorders relevant to the use of such technology. Their work has materialized in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) [7] and in the International Classification of Diseases 11th Revision (ICD-11) [8].
Some theories have been proposed to understand the development of smartphone and internet addiction [9,10,11,12]. For example, the Interaction of Person-Affect-Cognition-Execution (I-PACE) model suggests that individuals could use smartphones and/or internet as a coping strategy to overcome their difficulties in daily lives and to satisfy their emotional needs. However, when the individuals develop habitual and automatic behaviors of using smartphone/internet use due to the frequently used method of smartphone/internet, they are at risk of developing an addition to the mentioned. Moreover, the craving in smartphone/internet users may become stronger and cannot be resisted when the mentioned automatic loop is developed [9]. Some models propose that individuals with the tendency of narcissism can develop smartphone/internet addiction more easily than their counterparts : the Self-Enhancement Model describes that people use social media platforms to promote themselves.Those with high levels of narcissism are likely to use this method more frequently for self-promotion, which will, in turn, affect their dependency on smartphone and internet use [10]; the Fit Model indicates that people having high levels of narcissism perceive enjoyment from superficial social connects, which is easily achieved on the social media platforms, and thus they may frequently use and develop an addiction to them [12]; the Trait Model says that people with high levels of narcissism have extraversion characteristics to use more social media platform to make friends [11]. However, the mechanisms regarding smartphone/internet addiction development remain unclear because behavioral addiction is complex and additional evidence is needed to corroborate these proposed theories and models.
Apart from the mechanisms delineating the development of smartphone and internet addiction could be developed, healthcare providers and researchers are interested in how such behavioral addictions associate with health impairments. Indeed, current evidence from cross-sectional and longitudinal design has demonstrated the associations between smartphone/internet addiction and various health outcomes, such as psychological distress [13, 14], sleep problems [15, 16], and quality of life [17]. However, some scientific evidence reports positive effects of smartphone/internet addiction on health, such as the increase of physical activity [18, 19]. In this regard, the effects of smartphone and internet addiction on human being’s health needs additional evidence to provide a clear picture for healthcare providers in order to help them evaluate the benefits and harms of such addictions.
Given that smartphone technology continues improving and that the amount of people which possess them is steadily increasing, it is of utmost importance that we address the behavioral addictions related to smartphone use. For that reason, we are interested in collecting and cumulating scientific evidence associated with smartphone addiction and internet addiction across a variety of groups. In this regard, we expect that the present collection will be helpful in several aspects, such as clinical decision making, health programs design, and policy making, amongst others.
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References
Moses JC, Adibi S, Wickramasinghe N, Nguyen L, Angelova M, Islam SMS. Smartphone as a disease screening tool: a systematic review. Sens (Basel). 2022;22(10):3787. https://doi.org/10.3390/s22103787.
Alimoradi Z, Lotfi A, Lin CY, Griffiths MD, Pakpour AH. Estimation of behavioral addiction prevalence during COVID-19 pandemic: a systematic review and meta-analysis. Curr Addict Rep. 2022;9(4):486–517. https://doi.org/10.1007/s40429-022-00435-6.
Kamolthip R, Chirawat P, Ghavifekr S, Gan WY, Tung SEH, Nurmala I, Nadhiroh SR, Pramukti I, Lin C-Y. Problematic internet use (PIU) in youth: a brief literature review of selected topics. Curr Opin Behav Sci. 2022;46:101150.
James RJE, Dixon G, Dragomir MG, Thirlwell E, Hitcham L. Understanding the construction of ‘behavior’ in smartphone addiction: a scoping review. Addict Behav. 2023;137:107503. https://doi.org/10.1016/j.addbeh.2022.107503.
Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7(2):252–9. https://doi.org/10.1556/2006.7.2018.49.
Yu S, Sussman S. Does smartphone addiction fall on a continuum of addictive behaviors? Int J Environ Res Public Health. 2020;17(2):422. https://doi.org/10.3390/ijerph17020422.
Pontes HM, Griffiths MD. Measuring DSM-5 internet gaming disorder: development and validation of a short psychometric scale. Comput Hum Behav. 2015;45:137–43. https://doi.org/10.1016/j.chb.2014.12.006.
Pontes HM, Schivinski B, Sindermann C, Li M, Becker B, Zhou M, Montag C. Measurement and conceptualization of gaming disorder according to the World Health Organization framework: the development of the Gaming Disorder Test. Int J Ment Health Addiction. 2021;19:508–28. https://doi.org/10.1007/s11469-019-00088-z.
Brand M, Wegmann E, Stark R, Müller A, Wölfling K, Robbins TW, Potenza MN. The Interaction of person-affect-cognition-execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neurosci Biobehav Rev. 2019;104:1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032.
Buffardi LE. Narcissism and the world wide web. In: Campbell WK, Miller JD, editors. The handbook of narcissism and narcissistic personality disorder: theoretical approaches, empirical findings, and treatments. John Wiley & Sons, Inc; 2011. pp. 371–81. https://doi.org/10.1002/9781118093108.
Gosling SD, Augustine AA, Vazire S, Holtzman N, Gaddis S. Manifestations of personality in online social networks: self-reported Facebook-related behaviors and observable profile information. Cyberpsychol Behav Soc Netw. 2011;14(9):483–8. https://doi.org/10.1089/cyber.2010.0087.
McCain JL, Campbell WK. Narcissism and social media use: a meta-analytic review. Psychol Pop Media Cult. 2018;7(3):308–27. https://doi.org/10.1037/ppm0000137.
Chen IH, Chen CY, Liu CH, Ahorsu DK, Griffiths MD, Chen YP, Kuo YJ, Lin CY, Pakpour AH, Wang SM. Internet addiction and psychological distress among chinese schoolchildren before and during the COVID-19 outbreak: a latent class analysis. J Behav Addict. 2021;10(3):731–46. https://doi.org/10.1556/2006.2021.00052. Published 2021 Sep 15.
Kakul F, Javed S. Internet gaming disorder: an interplay of cognitive psychopathology. Asian J Soc Health Behav. 2023;6:36–45. https://doi.org/10.4103/shb.shb_209_22.
Chang KC, Chang YH, Yen CF, Chen JS, Chen PJ, Lin CY, Griffiths MD, Potenza MN, Pakpour AH. A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: mediating roles for sleep quality and self-stigma. J Behav Addict. 2022;11(2):567–76. https://doi.org/10.1556/2006.2022.00012.
Ranjan LK, Gupta PR, Srivastava M, Gujar NM. Problematic internet use and its association with anxiety among undergraduate students. Asian J Soc Health Behav. 2021;4:137–41. https://doi.org/10.4103/shb.shb_30_21.
Kwok C, Leung PY, Poon KY, Fung XC. The effects of internet gaming and social media use on physical activity, sleep, quality of life, and academic performance among university students in Hong Kong: a preliminary study. Asian J Soc Health Behav. 2021;4:36–44.
Huang PC, Chen JS, Potenza MN, Griffiths MD, Pakpour AH, Chen JK, Lin YC, Hung CH, O’Brien KS, Lin CY. Temporal associations between physical activity and three types of problematic use of the internet: a six-month longitudinal study. J Behav Addict. 2022;11(4):1055–67. https://doi.org/10.1556/2006.2022.00084.
Xu P, Chen JS, Chang YL, Wang X, Jiang X, Griffiths MD, Pakpour AH, Lin CY. Gender differences in the associations between physical activity, smartphone use, and weight stigma. Front Public Health. 2022;10:862829. https://doi.org/10.3389/fpubh.2022.862829.
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Lin, CY., Ratan, Z.A. & Pakpour, A.H. Collection of smartphone and internet addiction. BMC Psychiatry 23, 427 (2023). https://doi.org/10.1186/s12888-023-04915-5
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DOI: https://doi.org/10.1186/s12888-023-04915-5