Network analysis of peer attachment and internet addiction among chinese adolescents
Shaw, M. & Black, D. W. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs. 22, 353–365 (2008).
Google Scholar
Lozano-Blasco, R., Robres, A. Q. & Sánchez, A. S. Internet addiction in young adults: A meta-analysis and systematic review. Comput. Hum. Behav. 130, 107201 (2022).
Google Scholar
Ding, H., Cao, B. & Sun, Q. The association between problematic internet use and social anxiety within adolescents and young adults: a systematic review and meta-analysis. Front. Public. Health. 11, 1275723 (2023).
Google Scholar
Tang, J. et al. Association of internet addiction with nonsuicidal Self-injury among adolescents in China. JAMA Netw. Open. 3, e206863 (2020).
Google Scholar
Zhou, N. & Fang, X. Beyond peer contagion: unique and interactive effects of multiple peer influences on internet addiction among Chinese adolescents. Comput. Hum. Behav. 50, 231–238 (2015).
Google Scholar
Badenes-Ribera, L., Fabris, M. A., Gastaldi, F. G. M., Prino, L. E. & Longobardi, C. Parent and peer attachment as predictors of Facebook addiction symptoms in different developmental stages (early adolescents and adolescents). Addict. Behav. 95, 226–232 (2019).
Google Scholar
Teng, Z., Griffiths, M. D., Nie, Q., Xiang, G. & Guo, C. Parent-adolescent attachment and peer attachment associated with internet gaming disorder: A longitudinal study of first-year undergraduate students. J. Behav. Addictions. 9, 116–128 (2020).
Google Scholar
Delgado, E., Serna, C., Martínez, I. & Cruise, E. Parental attachment and peer relationships in adolescence: A systematic review. Int. J. Environ. Res. Public Health 19 (2022).
Giddens, A. & Bowlby, J. Attachment and loss, I: attachment. Br. J. Sociol. 21, 111 (1970).
Google Scholar
Ainsworth, M. D. S., Blehar, M. C., Waters, E. & Wall, S. Patterns of Attachment: A Psychological Study of the Strange Situation. (1979).
Armsden, G. C. & Greenberg, M. T. The inventory of parent and peer attachment: individual differences and their relationship to psychological well-being in adolescence. J. Youth Adolesc. 16, 427–454 (1987).
Google Scholar
Schoeps, K., Mónaco, E., Cotolí, A. & Montoya-Castilla, I. The impact of peer attachment on prosocial behavior, emotional difficulties and conduct problems in adolescence: the mediating role of empathy. PloS One. 15, e0227627 (2020).
Google Scholar
Gorrese, A., Ruggieri, R. & Peer Attachment A Meta-analytic review of gender and age differences and associations with parent attachment. J. Youth Adolesc. 41, 650–672 (2012).
Google Scholar
Monacis, L., de Palo, V., Griffiths, M. D. & Sinatra, M. Exploring individual differences in online addictions: the role of identity and attachment. Int. J. Mental Health Addict. 15, 853–868 (2017).
Google Scholar
Assunção, R. S., Costa, P. & Tagliabue, S. Mena Matos, P. Problematic Facebook use in adolescents: associations with parental attachment and alienation to peers. J. Child Fam. Stud. 26, 2990–2998 (2017).
Google Scholar
McKenna, K. Y. A., Green, A. S. & Gleason, M. E. J. Relationship formation on the internet: what’s the big attraction?? J. Soc. Issues. 58, 9–31 (2002).
Google Scholar
Kardefelt-Winther, D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput. Hum. Behav. 31, 351–354 (2014).
Google Scholar
Elhai, J. D., Levine, J. C. & Hall, B. J. The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks. J. Anxiety Disord. 62, 45–52 (2019).
Google Scholar
D’Arienzo, M. C., Boursier, V. & Griffiths, M. D. Addiction to social media and attachment styles: A systematic literature review. Int. J. Mental Health Addict. 17, 1094–1118 (2019).
Google Scholar
Ballarotto, G., Volpi, B., Marzilli, E. & Tambelli, R. Adolescent Internet Abuse: A Study on the Role of Attachment to Parents and Peers in a Large Community Sample. BioMed research international 5769250 (2018). (2018).
Reiner, I. et al. Peer attachment, specific patterns of internet use and problematic internet use in male and female adolescents. Eur. Child Adolesc. Psychiatry. 26, 1257–1268 (2017).
Google Scholar
Yang, X., Zhu, L., Chen, Q., Song, P. & Wang, Z. Parent marital conflict and internet addiction among Chinese college students: the mediating role of father-child, mother-child, and peer attachment. Comput. Hum. Behav. 59, 221–229 (2016).
Google Scholar
Feeney, B. C., Cassidy, J. & Ramos-Marcuse, F. The generalization of attachment representations to new social situations: predicting behavior during initial interactions with strangers. J. Personal. Soc. Psychol. 95, 1481–1498 (2008).
Google Scholar
Vagos, P. & Carvalhais, L. The impact of adolescents’ attachment to peers and parents on aggressive and prosocial behavior: A Short-Term longitudinal study. Front. Psychol. 11, 592144 (2020).
Google Scholar
Faust, K. & Wasserman, S. Social Network Analysis: Methods and Applications (Cambridge University Press, 1994).
Google Scholar
Borsboom, D. A network theory of mental disorders. World Psychiatry: Official J. World Psychiatric Association (WPA). 16, 5–13 (2017).
Google Scholar
Braun, U. et al. From maps to Multi-dimensional network mechanisms of mental disorders. Neuron 97, 14–31 (2018).
Google Scholar
McNally, R. J. Can network analysis transform psychopathology? Behav. Res. Ther. 86, 95–104 (2016).
Google Scholar
Borsboom, D. & Cramer, A. O. Network analysis: an integrative approach to the structure of psychopathology. Ann. Rev. Clin. Psychol. 9, 91–121 (2013).
Google Scholar
Cao, X. et al. Sex differences in global and local connectivity of adolescent posttraumatic stress disorder symptoms. J. Child Psychol. Psychiatry Allied Discip. 60, 216–224 (2019).
Google Scholar
Vanzhula, I. A., Calebs, B., Fewell, L. & Levinson, C. A. Illness pathways between eating disorder and post-traumatic stress disorder symptoms: Understanding comorbidity with network analysis. Eur. Eat. Disorders Review: J. Eat. Disorders Association. 27, 147–160 (2019).
Google Scholar
Castro, D. et al. The differential role of central and Bridge symptoms in deactivating psychopathological networks. Front. Psychol. 10, 2448 (2019).
Google Scholar
Groen, R. N. et al. Comorbidity between depression and anxiety: assessing the role of Bridge mental States in dynamic psychological networks. BMC Med. 18, 308 (2020).
Google Scholar
Wu, D. et al., Cohort Profile: Chongqing Pubertal Timing and Environment Study in China with 15 Follow-Ups since 2014. in Future, Vol. 2 107–125 (2024).
Chin, F. & Leung, C. H. The concurrent validity of the internet addiction test (IAT) and the mobile phone dependence questionnaire (MPDQ). PloS One. 13, e0197562 (2018).
Google Scholar
Cai, H. et al. Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective. Translational Psychiatry. 13, 186 (2023).
Google Scholar
Lai, C. M. et al. Psychometric properties of the internet addiction test in Chinese adolescents. J. Pediatr. Psychol. 38, 794–807 (2013).
Google Scholar
Li, C. et al., The mediation and interaction effects of Internet addiction in the association between family functioning and depressive symptoms among adolescents: A four-way decomposition. J. Affect. Disord. (2024).
Lin, S. et al. Cybervictimization and non-suicidal self-injury among Chinese adolescents: A longitudinal moderated mediation model. J. Affect. Disord. 329, 470–476 (2023).
Google Scholar
Yu, T., Hu, J., Zhang, W., Zhang, L. & Zhao, J. Influence of childhood psychological maltreatment on peer attachment among Chinese adolescents: the mediation effects of emotion regulation strategies. J. Interpers. Violence. 38, 11935–11953 (2023).
Google Scholar
Epskamp, S. & Fried, E. I. A tutorial on regularized partial correlation networks. Psychol. Methods. 23, 617–634 (2018).
Google Scholar
Epskamp, S., Borsboom, D. & Fried, E. I. Estimating psychological networks and their accuracy: A tutorial paper. Behav. Res. Methods. 50, 195–212 (2018).
Google Scholar
Jongerling, J., Epskamp, S. & Williams, D. R. Bayesian uncertainty Estimation for Gaussian graphical models and centrality indices. Multivar. Behav. Res. 58, 311–339 (2023).
Google Scholar
Bringmann, L. F. et al. Psychopathological networks: theory, methods and practice. Behav. Res. Ther. 149, 104011 (2022).
Google Scholar
Sela, Y., Zach, M., Amichay-Hamburger, Y., Mishali, M. & Omer, H. Family environment and problematic internet use among adolescents: the mediating roles of depression and fear of missing out. Comput. Hum. Behav. 106, 106226 (2020).
Google Scholar
Weimer, B. L., Kerns, K. A. & Oldenburg, C. M. Adolescents’ interactions with a best friend: associations with attachment style. J. Exp. Child Psychol. 88, 102–120 (2004).
Google Scholar
Brand, M. et al. 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. 104, 1–10 (2019).
Google Scholar
Cai, H. et al. Identification of central symptoms in internet addictions and depression among adolescents in Macau: A network analysis. J. Affect. Disord. 302, 415–423 (2022).
Google Scholar
Zhao, Y., Qu, D., Chen, S. & Chi, X. Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study. Comput. Hum. Behav. 138, 107424 (2023).
Google Scholar
Gunther Moor, B., van Leijenhorst, L., Rombouts, S. A. R. B., Crone, E. A. & Van der Molen, M. W. Do you like me? Neural correlates of social evaluation and developmental trajectories. Soc. Neurosci. 5, 461–482 (2010).
Google Scholar
Xiao, Z. & Huang, J. The relation between college students’ social anxiety and mobile phone addiction: the mediating role of regulatory emotional Self-Efficacy and subjective Well-Being. Front. Psychol. 13, 861527 (2022).
Google Scholar
Firth, J. et al. Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. J. Affect. Disord. 218, 15–22 (2017).
Google Scholar
Kwak, M. J., Cho, H. & Kim, D. J. The role of motivation systems, anxiety, and low Self-Control in smartphone addiction among smartphone-Based social networking service (SNS) users. Int. J. Environ. Res. Public Health 19 (2022).
Roelofs, J., Onckels, L. & Muris, P. Attachment quality and psychopathological symptoms in clinically referred adolescents: the mediating role of early maladaptive schema. J. Child. Fam Stud. 22, 377–385 (2013).
Google Scholar
Durkee, T. et al. Prevalence of pathological internet use among adolescents in Europe: demographic and social factors. Addict. (Abingdon England). 107, 2210–2222 (2012).
Google Scholar
Kaess, M. et al. Pathological internet use among European adolescents: psychopathology and self-destructive behaviours. Eur. Child Adolesc. Psychiatry. 23, 1093–1102 (2014).
Google Scholar
Andersen, S. M., Reznik, I. & Manzella, L. M. Eliciting facial affect, motivation, and expectancies in transference: significant-other representations in social relations. J. Personal. Soc. Psychol. 71, 1108–1129 (1996).
Google Scholar
Lieberman, A. & Schroeder, J. Two social lives: how differences between online and offline interaction influence social outcomes. Curr. Opin. Psychol. 31, 16–21 (2020).
Google Scholar
Achterhof, R. et al. Adolescents’ real-time social and affective experiences of online and face-to-face interactions. Comput. Hum. Behav. 129, 107159 (2022).
Google Scholar
Best, P., Manktelow, R. & Taylor, B. Online communication, social media and adolescent wellbeing: A systematic narrative review. Child Youth Serv. Rev. 41, 27–36 (2014).
Google Scholar
Harness, J., Domoff, S. E. & Rollings, H. Social media use and youth mental health: Intervention-Focused future directions. Curr. Psychiatry Rep. 25, 865–871 (2023).
Google Scholar
Steinsbekk, S., Nesi, J. & Wichstrøm, L. Social media behaviors and symptoms of anxiety and depression. A four-wave cohort study from age 10–16 years. Comput. Hum. Behav. 147 (2023).
Firth, J. et al. From online brains to online lives: Understanding the individualized impacts of internet use across psychological, cognitive and social dimensions. World Psychiatry: Official J. World Psychiatric Association (WPA). 23, 176–190 (2024).
Google Scholar
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