Andreassen, C. S., Griffiths, M. D., Gjertsen, S. R., Krossbakken, E., Kvam, S., & Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90–99. https://doi.org/10.1556/jba.2.2013.003
Badenes-Ribera, L., Fabris, M. A., Gastaldi, F. G. M., Prino, L. E., & Longobardi, C. (2019). Parent and peer attachment as predictors of facebook addiction symptoms in different developmental stages (early adolescents and adolescents) [Article]. Addictive Behaviors, 95, 226–232. https://doi.org/10.1016/j.addbeh.2019.05.009
Article PubMed CAS Google Scholar
Bal, E., & Balci, Ş. (2020). Smartphone addiction: A study on the efficacy of personality traits and usage patterns. Journal of Erciyes Communication, 7(1), 194–369.
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 8(1), 39–51. https://doi.org/10.1089/cpb.2005.8.39
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
Chen, C. Y., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M. K. O., & Liang, L. (2017). Examining the effects of motives and gender differences on smartphone addiction. Computers in Human Behavior, 75, 891–902. https://doi.org/10.1016/j.chb.2017.07.002
Cheng, J. H., Peng, C., Rong, F. J., Wang, Y., Tan, Y. F., & Yu, Y. Z. (2024). Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality. Journal of Behavioral Addictions, 13(1), 88–101. https://doi.org/10.1556/2006.2023.00078
Article PubMed PubMed Central Google Scholar
Cianci, A. M., Klein, H. J., & Seijts, G. H. (2010). The effect of negative feedback on tension and subsequent performance: The main and interactive effects of goal content and conscientiousness. Journal of Applied Psychology, 95(4), 618–630. https://doi.org/10.1037/a0019130
Claes, L., Muehlenkamp, J., Vandereycken, W., Hamelinck, L., Martens, H., & Claes, S. (2010). Comparison of non-suicidal self-injurious behavior and suicide attempts in patients admitted to a psychiatric crisis unit. Personality and Individual Differences, 48(1), 83–87. https://doi.org/10.1016/j.paid.2009.09.001
CNNIC. (2024). The 53rd statistical report on China's internet development. Retrieved February 15, 2025, from https://www.cnnic.net.cn/n4/2024/0829/c88-11065.html
Costa, P., & McCrae, R. R. (1992). Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory, Odessa, Florida, FL. Psychological Assessment Resources Differences, 35, 1285–1292.
Costantini, G., & Perugini, M. (2016). The network of conscientiousness. Journal of Research in Personality, 65, 68–88. https://doi.org/10.1016/j.jrp.2016.10.003
Coyne, S. M., Stockdale, L., & Summers, K. (2019). Problematic cell phone use, depression, anxiety, and self-regulation: Evidence from a three year longitudinal study from adolescence to emerging adulthood. Computers in Human Behavior, 96, 78–84. https://doi.org/10.1016/j.chb.2019.02.014
Crews, F., He, J., & Hodge, C. (2007). Adolescent cortical development: A critical period of vulnerability for addiction. Pharmacology, Biochemistry and Behavior, 86(2), 189–199.
Critchley, H. D., Daly, E. M., Phillips, M. L., Brammer, M. F., Bullmore, E. T., Williams, S., van Amelsvoort, T., Robertson, D. A., David, A. S., & Murphy, D. G. M. (2000). Explicit and implicit neural mechanisms for processing of social information from facial expressions: A functional magnetic resonance imaging study. Human Brain Mapping, 9(2),93–105. https://doi.org/10.1002/(sici)1097-0193(200002)9:23.3.Co;2-q
Csibi, S., Demetrovics, Z., & Szabo, A. (2016). Hungarian adaptation and psychometric characteristics of brief addiction to smartphone scale (BASS). Psychiatria Hungarica, 13(5), 867.
Dash, G. F., Slutske, W. S., Martin, N. G., Statham, D. J., Agrawal, A., & Lynskey, M. T. (2019). Big five personality traits and alcohol, nicotine, cannabis, and gambling disorder comorbidity. Psychology of Addictive Behaviors, 33(4), 420–429. https://doi.org/10.1037/adb0000468
Article PubMed PubMed Central Google Scholar
Davey, S., & Davey, A. (2014). Assessment of smartphone addiction in Indian adolescents: A mixed method study by systematic-review and meta-analysis approach. International Journal of Preventive Medicine, 5(12), 1500–1511.
DelPriore, D. J., Schlomer, G. L., & Ellis, B. J. (2017). Impact of fathers on parental monitoring of daughters and their affiliation with sexually promiscuous peers: A genetically and environmentally controlled sibling study. Developmental Psychology, 53(7), 1330–1343. https://doi.org/10.1037/dev0000327
Direktör, C., & Nuri, C. (2019). Personality beliefs as a predictor of smartphone addiction. Archives of Clinical Psychiatry (São Paulo), 46(3), 61–65. https://doi.org/10.1590/0101-60830000000195
Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people’s technology use. Cyberpsychology & Behavior, 11(6), 739–741.
Erdem, C., & Uzun, A. M. (2022). Smartphone addiction among undergraduates: Roles of personality traits and demographic factors. Technology, Knowledge and Learning, 27(2), 579–597. https://doi.org/10.1007/s10758-020-09467-1
Essau, C. A., & Delfabbro, P. H. (2008). Adolescent addiction: Epidemiology, assessment, and treatment. Elsevier. https://doi.org/10.1016/B978-0-08-045062-5.X5000-9
Freeman, A. E., & Reinecke, M. A. (Eds.). (2007). Personality disorders in childhood and adolescence. John Wiley & Sons.
Gangadharan, N., Borle, A. L., & Basu, S. (2022). Mobile phone addiction as an emerging behavioral form of addiction among adolescents in India. Cureus Journal of Medical Science, 14(4), e23798. https://doi.org/10.7759/cureus.23798
Gao, T. T., Li, J. M., Zhang, H., Gao, J. L., Kong, Y. X., Hu, Y. Y., & Mei, S. L. (2018). The influence of alexithymia on mobile phone addiction: The role of depression, anxiety and stress. Journal of Affective Disorders, 225, 761–766. https://doi.org/10.1016/j.jad.2017.08.020
Gutierrez, J. D., de Fonseca, F. R., & Rubio, G. (2016). Cell-phone addiction: A review [Review]. Frontiers in Psychiatry, 7(15), 175. https://doi.org/10.3389/fpsyt.2016.00175
Hidalgo-Fuentes, S. (2021). Problematic smartphone use: The role of the Big Five, the Dark Triad and impulsivity [Article]. Aloma-Revista De Psicologia Ciencies De L Educacio I De L Esport, 39(1), 17–26. https://doi.org/10.51698/aloma.2021.39.1.17-26
Hong, W., Liu, R. D., Oei, T. P., Zhen, R., Jiang, S. Y., & Sheng, X. T. (2019). The mediating and moderating roles of social anxiety and relatedness need satisfaction on the relationship between shyness and problematic mobile phone use among adolescents. Computers in Human Behavior, 93, 301–308. https://doi.org/10.1016/j.chb.2018.12.020
Horwood, S., & Anglim, J. (2018). Personality and problematic smartphone use: A facet-level analysis using the five factor model and HEXACO frameworks. Computers in Human Behavior, 85, 349–359. https://doi.org/10.1016/j.chb.2018.04.013
Hu, Y. Q., & Xiang, Y. H. (2022a). How child maltreatment enduringly impacts aggression: A perspective based on personality solidification. International Journal of Mental Health Promotion, 24(6), 945–957. https://doi.org/10.32604/ijmhp.2022.019917
Hu, Z. F., & Xiang, Y. H. (2022b). Who is the chief culprit, loneliness, or smartphone addiction? Evidence from longitudinal study and weekly diary method. International Journal of Mental Health and Addiction, 22, 599–614. https://doi.org/10.1007/s11469-022-00892-0
Huang, X., Yang, H. J., Wei, S., & Wang, Y. (2023). Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students. Australasian Psychiatry. https://doi.org/10.1177/10398562231167689
Ikeda, K., & Nakamura, K. (2014). Association between mobile phone use and depressed mood in Japanese adolescents: A cross-sectional study. Environmental Health and Preventive Medicine, 19(3), 187–193. https://doi.org/10.1007/s12199-013-0373-3
Jaoua, F., Almurad, H. M., Elshaer, I. A., & Mohamed, E. S. (2022). E-learning success model in the context of COVID-19 pandemic in higher educational institutions. International Journal of Environmental Research and Public Health, 19(5), 2865. https://doi.org/10.3390/ijerph19052865
Article PubMed PubMed Central CAS Google Scholar
Jun, S. (2014). 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. Family Environment Research, 52(3), 301–312.
Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179–186. https://doi.org/10.1016/j.chb.2015.12.061
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059
Khan, R., Neveu, J. P., & Murtaza, G. (2021). Is grit hurting you? The dark side of psychological resources in goal pursuit. Applied Psychology, 70(3), 1323–1344.
Klimstra, T. A., Hale, W. W., Raaijmakers, Q., Branje, S., & Meeus, W. (2009). Maturation of personality in adolescence. Journal of Personality Social Psychology, 96(4), 898–912.
Kong, F., Wang, X., Hu, S. Y., & Liu, J. (2015). Neural correlates of psychological resilience and their relation to life satisfaction in a sample of healthy young adults. Neuroimage, 123, 165–172. https://doi.org/10.1016/j.neuroimage.2015.08.020
Comments (0)