Smartphone addiction: psychosocial correlates, risky attitudes, and smartphone harm

Abstract Smartphone use has brought convenience to users, although its excessive use and addiction might also have negative consequences. Using a representative sample of 526 smartphone users in Spain, the present study analyzes smartphone extensive use and addiction as well as its relationship to smartphone harm. Self-reported and scanned data were obtained from users and their smartphones. Multivariate linear regression analyses showed that higher levels of smartphone extensive use were found for female respondents, those high on general propensity to risk, neuroticism, and low on conscientiousness, openness, or social support. Multivariate binary logistic results showed that general propensity to risk and low social support were predictive of smartphone addiction. The combination of high smartphone extensive use and low social support was positively and significantly related to the existence of smartphone harm as well as higher levels of risk attitudes toward smartphone use. These results might indicate that when low social support is coupled with an extensive smartphone use, respondents not only show a more positive attitude toward risky behaviors while using their smartphone but, also, a greater level of harm is found in their terminals.

[1]  Scott E. Caplan Relations Among Loneliness, Social Anxiety, and Problematic Internet Use , 2007, Cyberpsychology Behav. Soc. Netw..

[2]  C. Chan,et al.  Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: trait differences for gaming addiction and social networking addiction. , 2015, Addictive behaviors.

[3]  Xi Lu,et al.  Internet and mobile phone text-messaging dependency: Factor structure and correlation with dysphoric mood among Japanese adults , 2011, Comput. Hum. Behav..

[4]  Antti Oulasvirta,et al.  Habits make smartphone use more pervasive , 2011, Personal and Ubiquitous Computing.

[5]  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..

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

[7]  D. Marlowe,et al.  A new scale of social desirability independent of psychopathology. , 1960, Journal of consulting psychology.

[8]  W. Evans,et al.  Developing the public attitudes about addiction instrument , 2015 .

[9]  A. Hidalgo,et al.  Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses , 2016 .

[10]  Edward A. Witt,et al.  Trends in youth's videogame playing, overall computer use, and communication technology use: The impact of self-esteem and the Big Five personality factors , 2011, Comput. Hum. Behav..

[11]  Chin-Chung Tsai,et al.  Sensation seeking and internet dependence of Taiwanese high school adolescents , 2000, Comput. Hum. Behav..

[12]  James G. Phillips,et al.  Psychological Predictors of Problem Mobile Phone Use , 2005, Cyberpsychology Behav. Soc. Netw..

[13]  Wonseok Oh,et al.  Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective , 2016, Inf. Syst. Res..

[14]  J. Mowen The 3M Model of Motivation and Personality: Theory and Empirical Applications to Consumer Behavior , 1999 .

[15]  M. Beutel,et al.  Investigating Risk Factors for Internet Gaming Disorder: A Comparison of Patients with Addictive Gaming, Pathological Gamblers and Healthy Controls regarding the Big Five Personality Traits , 2013, European Addiction Research.

[16]  Ramakrishnan Raman,et al.  A Study on the User Perception and Awareness of Smartphone Security , 2014 .

[17]  J. Korkeila,et al.  Internet Addiction , 2020 .

[18]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[19]  Martin Voracek,et al.  Who Commits Virtual Identity Suicide? Differences in Privacy Concerns, Internet Addiction, and Personality Between Facebook Users and Quitters , 2013, Cyberpsychology Behav. Soc. Netw..

[20]  John C. Mowen,et al.  The 3M Model of Motivation and Personality , 2000 .

[21]  S. Schwartz,et al.  The Big Five Personality Factors and Personal Values , 2002 .

[22]  Martin J Blaser,et al.  Infection, cancer and prevention: report of the 19th International Symposium of the Foundation for Promotion of Cancer Research. , 2006, Japanese journal of clinical oncology.

[23]  Louis Leung,et al.  Net-Generation Attributes and Seductive Properties of the Internet as Predictors of Online Activities and Internet Addiction , 2004, Cyberpsychology Behav. Soc. Netw..

[24]  M. Linden,et al.  The Role of Impulsivity in Actual and Problematic Use of the Mobile Phone , 2008 .

[25]  Juan Herrero,et al.  My computer is infected: the role of users’ sensation seeking and domain-specific risk perceptions and risk attitudes on computer harm , 2017 .

[26]  Juan Herrero,et al.  Perceived neighborhood social disorder and attitudes toward domestic violence against women among latin-american inmigrants , 2009 .

[27]  Jian Li,et al.  Exploring the relationships between college students' cell phone use, personality and leisure , 2015, Comput. Hum. Behav..

[28]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..

[29]  Kathleen C. Gerbasi,et al.  Short, homogeneous versions of the Marlow‐Crowne Social Desirability Scale , 1972 .

[30]  M. Griffiths,et al.  Internet addiction: a systematic review of epidemiological research for the last decade. , 2014, Current pharmaceutical design.

[31]  Mark D. Griffiths,et al.  IN STUDENTS : PREVALENCE AND RISK FACTORS 1 Internet addiction in students : Prevalence and risk factors , 2014 .

[32]  N. Lin,et al.  Social support scales: a methodological note. , 1981, Schizophrenia bulletin.

[33]  P. Philippot,et al.  Is Dysfunctional Use of the Mobile Phone a Behavioural Addiction? Confronting Symptom-Based Versus Process-Based Approaches. , 2015, Clinical psychology & psychotherapy.

[34]  Keith W. Beard Internet addiction: current status and implications for employees , 2002 .

[35]  Keith W. Beard,et al.  Modification in the Proposed Diagnostic Criteria for Internet Addiction , 2001, Cyberpsychology Behav. Soc. Netw..

[36]  Juan Herrero,et al.  Covariates of Subjective well‐being among Latin American immigrants in Spain: the role of social integration in the community , 2011 .

[37]  Sławomir Rębisz,et al.  Internet Addiction in Adolescents , 2016 .

[38]  Louis Leung,et al.  Shyness and Locus of Control as Predictors of Internet Addiction and Internet Use , 2004, Cyberpsychology Behav. Soc. Netw..

[39]  Mark D. Griffiths,et al.  Internet addiction in adolescents: Prevalence and risk factors , 2013, Comput. Hum. Behav..

[40]  Rodrigo Velezmoro,et al.  Perceived stress, sensation seeking, and college students' abuse of the Internet , 2010, Comput. Hum. Behav..

[41]  K. Young,et al.  Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype , 1996, Psychological reports.

[42]  Matthias Brand,et al.  Validation and psychometric properties of a short version of Young's Internet Addiction Test , 2013, Comput. Hum. Behav..

[43]  A. Buss,et al.  Personality Traits , 1973 .

[44]  O. John,et al.  Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German , 2007 .

[45]  Mark D Griffiths,et al.  The relationships between behavioral addictions and the five-factor model of personality. , 2013, Journal of behavioral addictions.

[46]  Jing He,et al.  The Influence of Personality, Parental Behaviors, and Self-Esteem on Internet Addiction: A Study of Chinese College Students , 2014, Cyberpsychology Behav. Soc. Netw..

[47]  Muttukrishnan Rajarajan,et al.  Android Security: A Survey of Issues, Malware Penetration, and Defenses , 2015, IEEE Communications Surveys & Tutorials.

[48]  R. Hoyle,et al.  Reliability and validity of a brief measure of sensation seeking , 2002 .

[49]  Chih-Hung Ko,et al.  Factors Predictive for Incidence and Remission of Internet Addiction in Young Adolescents: A Prospective Study , 2007, Cyberpsychology Behav. Soc. Netw..

[50]  G. Dong,et al.  Alterations in regional homogeneity of resting-state brain activity in internet gaming addicts , 2012, Behavioral and Brain Functions.

[51]  E. Hardie,et al.  Excessive internet use: the role of personality, loneliness and social support networks in internet addiction , 2007 .