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Journal of Behavioral Addictions
Authors: Engin Karadağ, Şule Betül Tosuntaş, Evren Erzen, Pinar Duru, Nalan Bostan, Berrak Mizrak Şahin, İlkay Çulha, and Burcu Babadağ

Background and aims

Phubbing can be described as an individual looking at his or her mobile phone during a conversation with other individuals, dealing with the mobile phone and escaping from interpersonal communication. In this research, determinants of phubbing behavior were investigated; in addition, the effects of gender, smart phone ownership and social media membership were tested as moderators.

Methods

To examine the cause–effect relations among the variables of the theoretical model, the research employs a correlational design. Participants were 409 university students who were selected via random sampling. Phubbing was obtained via the scales featuring mobile phone addiction, SMS addiction, internet addiction, social media addiction and game addiction. The obtained data were analyzed using a correlation analysis, multiple linear regression analysis and structural equation model.

Results

The results showed that the most important determinants of phubbing behavior are mobile phone, SMS, social media and internet addictions.

Discussion

Although the findings show that the highest correlation value explaining phubbing is a mobile phone addiction, the other correlation values reflect a dependency on the phone.

Conclusions

There is an increasing tendency towards mobile phone use, and this tendency prepares the basis of phubbing.

Open access

Abstract

Background and aims

The primary objective of the present research is to investigate the drivers of technological addiction in college students — heavy users of Information and Communication Technology (ICT). The study places cell phone and instant messaging addiction in the broader context of consumption pathologies, investigating the influence of materialism and impulsiveness on these two technologies. Clearly, cell phones serve more than just a utilitarian purpose. Cell phones are used in public and play a vital role in the lives of young adults. The accessibility of new technologies, like cell phones, which have the advantages of portability and an ever increasing array of functions, makes their over-use increasingly likely.

Methods

College undergraduates (N = 191) from two U.S. universities completed a paper and pencil survey instrument during class. The questionnaire took approximately 15–20 minutes to complete and contained scales that measured materialism, impulsiveness, and mobile phone and instant messaging addiction.

Results

Factor analysis supported the discriminant validity of Ehrenberg, Juckes, White and Walsh's (2008) Mobile Phone and Instant Messaging Addictive Tendencies Scale. The path model indicates that both materialism and impulsiveness impact the two addictive tendencies, and that materialism's direct impact on these addictions has a noticeably larger effect on cell phone use than instant messaging.

Conclusions

The present study finds that materialism and impulsiveness drive both a dependence on cell phones and instant messaging. As Griffiths (2012) rightly warns, however, researchers must be aware that one's addiction may not simply be to the cell phone, but to a particular activity or function of the cell phone. The emergence of multi-function smart phones requires that research must dig beneath the technology being used to the activities that draw the user to the particular technology.

Open access

. Matthews , T. , Pierce , J. & Tang , J. ( 2009 ). No smart phone is an island: The impact of places, situations, and other devices on smart phone use . IBM Research Report #RJ10452. N

Open access
Journal of Behavioral Addictions
Authors: Christoph Randler, Lucia Wolfgang, Katharina Matt, Eda Demirhan, Mehmet Barış Horzum, and Şenol Beşoluk

.12.051 Park , C. , & Park , Y. R. ( 2014 ). The conceptual model on smart phone addiction among early childhood . International Journal of Social Science and Humanities, 4, 147 – 150 . doi: 10

Open access

. Search terms used for mobile phones included “cell phone*,” “cellular phone*,” “cellular telephone*,” “mobile devices,” “mobile phone,” “smart phone” and “smartphone.” Search terms used for addiction included “addiction,” “dependence,” “dependency

Open access

Mobile and non-mobile Internet Use Disorder: Specific risks and possible shared Pavlovian conditioning processes. •

Commentary on: How to overcome taxonomical problems in the study of Internet use disorders and what to do with “smartphone addiction”? (Montag et al., 2019)

Journal of Behavioral Addictions
Authors: Tania Moretta, Shubao Chen, and Marc N. Potenza

students in Japan . Psychiatry and Clinical Neurosciences , 72 ( 7 ), 531 – 539 . 10.1111/pcn.12662 Lennon , A. , Oviedo-Trespalacios , O. , & Matthews , S. ( 2017 ). Pedestrian self-reported use of smart phones: Positive attitudes and high

Open access

formed from them. The social situation was measured by two indicators ( Table 1 ): Table 1. The social situation of the participants Own Not own Own house or flat 8% 92% Smart phone 54% 46% One car 49% 51% Two or more cars 73% 27% Weekend house 98% 2

Open access

retinopathy of prematurity screening in underserved areas in India using wide-field imaging, tele-medicine, non-physician graders and smart phone reporting . Indian J Ophthalmol . 2014 ; 62 ( 1 ): 41 – 9 . 10.4103/0301-4738.126178 7

Open access

. Ahn S-Y , Kim Y-J : The influence of smart phone use and stress on quality of sleep among nursing students . Indian J Sci Technol 8 ( 2015

Open access

. , & Samenow , C. P. ( 2010 ). Smart phones, social networking, sexting and problematic sexual behaviors – A call for research . Sexual Addiction & Compulsivity, 17 ( 4 ), 241 – 246 . doi: 10.1080/10720162.2010.532079 10

Open access