The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents

This study aimed to (a) explore the stability of changes in mobile phone addiction and depressive symptoms across time and (b) clarify the direction of reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. We analyzed three-year longitudinal data from the Korean Children and Youth Panel Survey conducted by the National Youth Policy Institute in Korea. A total of 1877 valid responses from 2011 to 2013 were analyzed using autoregressive cross-lagged modeling. We found that each mobile phone addiction and depressive symptom in earlier years was associated with increasing severity in these conditions consistently over the three years. In addition, we found that the relationships between mobile phone addiction and depressive symptoms were bidirectional over the three years. The significant implications for these findings in the context of adolescent behavior are also discussed. Mobile phone addiction increased consistently over time.Depressive symptoms increased consistently over time.Mobile phone addiction affected depressive symptoms over time.Depressive symptoms influenced mobile phone addiction over time.

[1]  Stephen Cox,et al.  Keeping in constant touch: The predictors of young Australians' mobile phone involvement , 2011, Comput. Hum. Behav..

[2]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[3]  J. Rushton,et al.  Epidemiology of depressive symptoms in the National Longitudinal Study of Adolescent Health. , 2002, Journal of the American Academy of Child and Adolescent Psychiatry.

[4]  Lennart Hardell,et al.  Mobile phones, cordless phones and the risk for brain tumours. , 2009, International journal of oncology.

[5]  Lennart Hardell,et al.  Cell phones and brain tumors: a review including the long-term epidemiologic data. , 2009, Surgical neurology.

[6]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[7]  Yang Sim Young,et al.  A Prediction Model of Cellular Phone Addiction Tendency among Adolescents , 2005 .

[8]  S. Finney,et al.  Item parceling issues in structural equation modeling , 2001 .

[9]  P. Bentler Comparative Fit Indices in Structural Models , 1990 .

[10]  J. Chiles,et al.  Depression in an adolescent delinquent population. , 1980, Archives of general psychiatry.

[11]  M. Hagberg,et al.  Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study , 2011, BMC public health.

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

[13]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

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

[15]  P. Lewinsohn,et al.  Natural course of adolescent major depressive disorder: I. Continuity into young adulthood. , 1999, Journal of the American Academy of Child and Adolescent Psychiatry.

[16]  박지영,et al.  청소년의 휴대전화 중독적 사용과 이용 동기, 또래관계 및 정서적 요인과의 관계 , 2012 .

[17]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[18]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

[19]  P. Knapp,et al.  Exposure to cell phone radiation up-regulates apoptosis genes in primary cultures of neurons and astrocytes , 2007, Neuroscience Letters.

[20]  Yi-Fan Chen,et al.  The relationship of mobile phone use to addiction and depression amongst American college students , 2004 .

[21]  Andrés Chamarro,et al.  Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence , 2009, Comput. Hum. Behav..

[22]  James G. Phillips,et al.  Personality and self reported mobile phone use , 2008, Comput. Hum. Behav..

[23]  D. Russell,et al.  Analyzing data from experimental studies: A latent variable structural equation modeling approach. , 1998 .

[24]  Kenneth A. Bollen,et al.  The best of both worlds: Combining autoregressive and latent curve models. , 2001 .

[25]  Sangmin Jun Longitudinal Relationship between Addictive Use of Mobile Phones and Learning Activities for Elementary School Students : Multiple and Complex Group Analysis across Gender , 2015 .

[26]  Diana P. James,et al.  Exploring Addictive Consumption of Mobile Phone Technology , 2005 .

[27]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[28]  R. Engels,et al.  Online communication, compulsive Internet use, and psychosocial well-being among adolescents: a longitudinal study. , 2008, Developmental psychology.

[29]  E. Goodman,et al.  Socioeconomic status, depressive symptoms, and adolescent substance use. , 2002, Archives of pediatrics & adolescent medicine.

[30]  Sangmin Jun,et al.  Academic stress and Internet addiction from general strain theory framework , 2015, Comput. Hum. Behav..

[31]  M. Kundi Mobile Phone Use and Brain Cancer: Is the Association Biased? , 2010, Neuroepidemiology.

[32]  William Gibson,et al.  Prevalence of Problematic Mobile Phone Use in British Adolescents , 2014, Cyberpsychology Behav. Soc. Netw..

[33]  Louis Leung LINKING PSYCHOLOGICAL ATTRIBUTES TO ADDICTION AND IMPROPER USE OF THE MOBILE PHONE AMONG ADOLESCENTS IN HONG KONG , 2008 .

[34]  Joël Billieux,et al.  Problematic Use of the Mobile Phone: A Literature Review and a Pathways Model , 2012 .

[35]  C. Hollis Depression, family environment, and adolescent suicidal behavior. , 1996, Journal of the American Academy of Child and Adolescent Psychiatry.

[36]  Angel Otero,et al.  Factors Associated with Cell Phone Use in Adolescents in the Community of Madrid (Spain) , 2009, Cyberpsychology Behav. Soc. Netw..

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

[38]  Masahiro Toda,et al.  Multifactorial study of mobile phone dependence in medical students: Relationship to health-related lifestyle, Type A behavior, and depressive state , 2013 .

[39]  Sudhen Sumesh Kumar Mobile phone and adolescents- addiction a mindful check in! , 2013 .

[40]  Thomas F. Nugent,et al.  Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

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

[42]  G. Klerman Clinical epidemiology of suicide. , 1987, The Journal of clinical psychiatry.

[43]  Sehee Hong,et al.  The Reciprocal Relationship Between Parental Involvement and Mathematics Achievement: Autoregressive Cross-Lagged Modeling , 2010 .

[44]  Kjell Hansson Mild,et al.  Use of mobile phones and cordless phones is associated with increased risk for glioma and acoustic neuroma. , 2013, Pathophysiology : the official journal of the International Society for Pathophysiology.

[45]  M. Rich,et al.  Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA , 2015, International Journal of Public Health.

[46]  M. Linden,et al.  Does impulsivity relate to perceived dependence on and actual use of the mobile phone , 2007 .

[47]  Adrian Angold,et al.  School refusal and psychiatric disorders: a community study. , 2003, Journal of the American Academy of Child and Adolescent Psychiatry.

[48]  A Survey on Relationships between Mobile-Phone Addiction and Emotional/Behavioral Problems in Middle School Students , 2010 .

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

[50]  Kerstin Mueller,et al.  Lisrel 8 Users Reference Guide , 2016 .

[51]  Sangmin Jun Longitudinal Relationship between Overuse/Addictive Use of Mobile Phones and Depression in Adolescents: Adapting the Autoregressive Cross-Lagged Model and Multiple Group Analysis across Gender , 2014 .

[52]  Zahra Babadi-Akashe,et al.  The Relationship between Mental Health and Addiction to Mobile Phones among University Students of Shahrekord, Iran , 2014, Addiction & health.

[53]  홍세희 구조 방정식 모형의 적합도 지수 선정기준과 그 근거 , 2000 .

[54]  P. Reitsma,et al.  Please Scroll down for Article Multivariate Behavioral Research Mathew Effects in Reading: a Comparison of Latent Growth Curve Models and Simplex Models with Structured Means , 2022 .

[55]  C. Ko,et al.  Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. , 2009, Journal of adolescence.

[56]  Jung-Hyun Kim,et al.  Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? , 2015, Comput. Hum. Behav..