The relationship between the type of smartphone use and smartphone dependence of Korean adolescents: National survey study

The purpose of this study is to verify the relationship between the type of smartphone use and smartphone dependence. We analyzed 2212 data of middle and high school students of the survey on internet addiction by the Korea Information Society Agency in 2016. We conducted a hierarchical multiple regression analysis to examine the effects of smartphone use for information seeking, entertainment seeking, gaming, mobile SNS, and mobile instant messenger on smartphone dependence after controlling smartphone usage frequency, and smartphone usage time. As a result of the analysis, the frequency of smartphone use of weekday (p<0.001) and weekend (p<0.001) was related to the dependence on smartphones. In addition, the amount of smartphone use for information seeking (p<0.01), entertainment seeking (p<0.05), and gaming (p<0.001) were associated with the dependence of smartphone. The amount of smartphone use for mobile SNS and mobile instant messenger are not related to smartphone dependence. The results suggest that different strategies need for the psychological intervention of smartphone dependence according to the main type of smartphone use of adolescents.

[1]  Min Chul Kang,et al.  A latent profile analysis of the interplay between PC and smartphone in problematic internet use , 2016, Comput. Hum. Behav..

[2]  M. Chóliz Mobile-phone addiction in adolescence : The Test of Mobile Phone Dependence ( TMD ) , 2012 .

[3]  Fu-Yuan Hong,et al.  Factors Influencing Facebook Usage and Facebook Addictive Tendency in University Students: The Role of Online Psychological Privacy and Facebook Usage Motivation. , 2016, Stress and health : journal of the International Society for the Investigation of Stress.

[4]  R. McIlwraith,et al.  “I'm addicted to television”: The personality, imagination, and TV watching patterns of self‐identified TV addicts , 1998 .

[5]  Wei Peng,et al.  Effects of screen size, viewing angle, and players' immersion tendencies on game experience , 2012, Comput. Hum. Behav..

[6]  Christoph Augner,et al.  Associations between problematic mobile phone use and psychological parameters in young adults , 2012, International Journal of Public Health.

[7]  Cary W. Horvath,et al.  Measuring Television Addiction , 2004 .

[8]  R. LaRose,et al.  A Social Cognitive Theory of Internet Uses and Gratifications: Toward a New Model of Media Attendance , 2004 .

[9]  Hui-Jie Tone,et al.  The attraction of online games: An important factor for Internet Addiction , 2014, Comput. Hum. Behav..

[10]  Mohammad Salehan,et al.  Social networking on smartphones: When mobile phones become addictive , 2013, Comput. Hum. Behav..

[11]  E. B. Lee,et al.  Too Much Information , 2015 .

[12]  Dong-Il Kim,et al.  Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries , 2014, Cyberpsychology Behav. Soc. Netw..

[13]  Daniel Kardefelt-Winther,et al.  Problematizing excessive online gaming and its psychological predictors , 2014, Comput. Hum. Behav..

[14]  Ye-Beet Jang Effects of Mobile Instant Messenger Usage Pattern and Intensity on Users' Social Capital: Focused on Users in Their 20's and 30's , 2014 .

[15]  Samantha. Rush Problematic use of smartphones in the workplace : an introductory study , 2011 .

[16]  Kimberly Young,et al.  Cognitive Behavior Therapy with Internet Addicts: Treatment Outcomes and Implications , 2007, Cyberpsychology Behav. Soc. Netw..

[17]  Dong Liu,et al.  Life satisfaction moderates the associations between motives and excessive social networking site usage , 2016 .

[18]  P. Valkenburg,et al.  Social Consequences of the Internet for Adolescents , 2009 .

[19]  Yang-Han Lee,et al.  Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). , 2015, Journal of psychiatric research.

[20]  Yu-Hsuan Lin,et al.  Smartphone gaming and frequent use pattern associated with smartphone addiction , 2016, Medicine.

[21]  Melvyn W B Zhang,et al.  Harnessing smartphone technologies for stroke care, rehabilitation and beyond , 2015, BMJ Innovations.

[22]  Yoonhyuk Jung,et al.  The common sense of dependence on smartphone: A comparison between digital natives and digital immigrants , 2016, New Media Soc..

[23]  Mu-Chien Chou,et al.  Mobile Instant Messengers and Middle-Aged and Elderly Adults in Taiwan: Uses and Gratifications , 2016, Int. J. Hum. Comput. Interact..

[24]  Yoori Hwang,et al.  What type of content are smartphone users addicted to?: SNS vs. games , 2016, Comput. Hum. Behav..

[25]  Cecilia Cheng,et al.  The association between internet addiction and psychiatric co-morbidity: a meta-analysis , 2014, BMC Psychiatry.

[26]  Stuart M. Speedie,et al.  The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials , 2015, BMC Medical Informatics and Decision Making.

[27]  B. Lee,et al.  What Makes Smartphone Users Satisfied with the Mobile Instant Messenger?: Social Presence, Flow, and Self-disclosure , 2014, MUE 2014.

[28]  David R. Urbach,et al.  Inter-professional delirium education and care: a qualitative feasibility study of implementing a delirium Smartphone application , 2016, BMC Medical Informatics and Decision Making.

[29]  Heejune Ahn,et al.  A Systemic Smartphone Usage Pattern Analysis: Focusing on Smartphone Addiction Issue , 2014, MUE 2014.

[30]  Louis Leung,et al.  Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital , 2015 .

[31]  Fang Pan,et al.  The alcohol tracker application: an initial evaluation of user preferences , 2015, BMJ Innovations.

[32]  Steven Eggermont,et al.  The impact of daily stress on adolescents' depressed mood: The role of social support seeking through Facebook , 2015, Comput. Hum. Behav..

[33]  Chun-Tuan Chang,et al.  The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress , 2014, Comput. Hum. Behav..

[34]  Sacip Toker,et al.  An investigation of the impact of demographics on cyberloafing from an educational setting angle , 2015, Comput. Hum. Behav..

[35]  T. Kowatsch,et al.  Smartphone use and smartphone addiction among young people in Switzerland , 2015, Journal of behavioral addictions.

[36]  Roger C M Ho,et al.  Smartphone applications for immersive virtual reality therapy for internet addiction and internet gaming disorder. , 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.

[37]  Yi-Cheng Ku,et al.  Gratifications for using CMC technologies: A comparison among SNS, IM, and e-mail , 2013, Comput. Hum. Behav..

[38]  Shu Ching Yang,et al.  Comparison of Internet addicts and non-addicts in Taiwanese high school , 2005, Comput. Hum. Behav..

[39]  Reynol Junco,et al.  In-class multitasking and academic performance , 2012, Comput. Hum. Behav..

[40]  R. Ho,et al.  Smartphone Applications Providing Information about Stroke: Are We Missing Stroke Risk Computation Preventive Applications? , 2017, Journal of stroke.

[41]  Christian Fernando Libaque Saenz,et al.  Use and gratifications of mobile SNSs: Facebook and KakaoTalk in Korea , 2015, Telematics Informatics.

[42]  Piet Kommers,et al.  Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender , 2015, Comput. Hum. Behav..

[43]  Hsuan-Ting Chen,et al.  Problematic Use of Social Network Sites: The Interactive Relationship Between Gratifications Sought and Privacy Concerns , 2013, Cyberpsychology Behav. Soc. Netw..