Abstract
Objectives
Prior studies have documented that mobile phone addiction is linked to anxiety and depression. However, the underlying processes that might moderate these associations remain unclear. The present research tested whether mindfulness moderated the relations between mobile phone addiction and both anxiety and depression in adolescents.
Methods
A sample of 1258 high school students (mean age = 16.76, SD = .94) in China completed the measures regarding their mobile phone addiction, anxiety, depression, and mindfulness.
Results
Results of multiple regression analyses indicated that after controlling for gender and grade, mobile phone addiction was positively associated with adolescents’ anxiety and depression. In addition, the relationships between mobile phone addiction and both anxiety and depression were moderated by mindfulness, in that they were stronger for adolescents with lower levels of mindfulness.
Conclusions
The present research contributes to a deeper understanding of whether the links between mobile phone addiction and mental health problems (i.e., anxiety, depression) are moderated by important personality traits such as mindfulness. Limitations and research implications of these findings are discussed.
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References
Arslan, G. (2017). Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: a study of mediation effect. Computers in Human Behavior, 72, 57–66.
Baer, R. A., Smith, G. T., & Allen, K. B. (2004). Assessment of mindfulness by self-report: The Kentucky Inventory of Mindfulness Skills. Assessment, 11, 191–206.
Bajaj, B., & Pande, N. (2016). Mediating role of resilience in the impact of mindfulness on life satisfaction and affect as indices of subjective well-being. Personality and Individual Differences, 93, 63–67.
Bajaj, B., Robins, R. W., & Pande, N. (2016). Mediating role of self-esteem on the relationship between mindfulness, anxiety, and depression. Personality and Individual Differences, 96, 127–131.
Bandura, A. (1986). Social foundations of thought and action: a social-cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
Bao, X., Xue, S., & Kong, F. (2015). Dispositional mindfulness and perceived stress: the role of emotional intelligence. Personality and Individual Differences, 78, 48–52.
Bender, P. K., Reinholdt-Dunne, M. L., Esbjørn, B. H., & Pons, F. (2012). Emotion dysregulation and anxiety in children and adolescents: Gender differences. Personality and Individual Differences, 53(3), 284–288.
Bergin, A. J., & Pakenham, K. I. (2016). The stress-buffering role of mindfulness in the relationship between perceived stress and psychological adjustment. Mindfulness, 7(4), 928–939.
Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8, 1–9.
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.
Bluth, K., & Blanton, P. W. (2014). Mindfulness and self-compassion: exploring pathways to adolescent emotional well-being. Journal of Child and Family Studies, 23, 1298–1309.
Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84, 822–848.
Calvete, E., Orue, I., & Sampedro, A. (2017). Does the acting with awareness trait of mindfulness buffer the predictive association between stressors and psychological symptoms in adolescents? Personality and Individual Differences, 105, 158–163.
Chen, L., Yan, Z., Tang, W., Yang, F., Xie, X., & He, J. (2016). Mobile phone addiction levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems. Computers in Human Behavior, 55, 856–866.
Chen, Y., Zhao, X., Huang, J. H., Chen, S. Y., & Zhou, R. L. (2011). Effects of mindfulness meditation on emotion regulation: theories and neural mechanisms. Advances in Psychological Science, 19, 1502–1510.
China Internet Network Information Center. (2018). The 42nd statistical report on Internet development in China. Retrieved on July 2018. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201608/P020160803367337470363.pdf
Cohen, S., & Edwards, J.R. (1989). Personality characteristics as moderators of the relationship between stress and disorder. In: R. W. J. Neufeld (Ed.), Advances in the Investigation of Psychological Stress (pp. 235–283). Oxford, UK: Wiley.
Deng, Z. J., Huang, H., Gui, Y. F., Niu, L. Y., & Zhou, C. Y. (2015). Mobile phone dependence, parenting style and subjective well-being in college students. Chinese Mental Health Journal, 29, 68–73.
Dixon, H. C., & Overall, N. C. (2016). Dispositional mindfulness attenuates the link between daily stress and depressed mood. Journal of Social and Clinical Psychology, 35, 255–268.
Frison, E., & Eggermont, S. (2015). The impact of daily stress on adolescents’ depressed mood: the role of social support seeking through Facebook. Computers in Human Behavior, 44, 315–325.
Gong, X., Xie, X. Y., Xu, R., & Luo, Y. J. (2010). Psychometric properties of the Chinese versions of DASS-21 in Chinese college students. Chinese Journal of Clinical Psychology, 4, 443–446.
Greco, L. A., Baer, R. A., & Smith, G. T. (2011). Assessing mindfulness in children and adolescents: development and validation of the child and adolescent mindfulness measure (CAMM). Psychological Assessment, 23, 606–614.
Hankin, B. L., Young, J. F., Abela, J. R., Smolen, A., Jenness, J. L., Gulley, L. D., & Oppenheimer, C. W. (2015). Depression from childhood into late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. Journal of Abnormal Psychology, 124(4), 803–816.
Harnett, P. H., Reid, N., Loxton, N. J., & Lee, N. (2016). The relationship between trait mindfulness, personality and psychological distress: a revised reinforcement sensitivity theory perspective. Personality and Individual Differences, 99, 100–105.
Hawi, N. S., & Samaha, M. (2016). To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance. Computers and Education, 98, 81–89.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York: Guilford Press.
He, J. B., Chen, C. R., Bao, Y. C., & Lei, Y. J. (2012). A probe into mobile phone dependence in adolescents: Measurement, harmfulness and genesis mechanism. Chinese Journal of Clinical Psychology, 20, 822–825.
Hessler, D. M., & Katz, L. F. (2010). Brief report: Associations between emotional competence and adolescent risky behavior. Journal of Adolescence, 33(1), 241–246.
Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179–186.
Kabat-Zinn, J. (2003). Mindfulness–based interventions in context: past, present, and future. Clinical Psychology: Science and Practice, 10, 144–156.
Kardefelt-Winther, D., Heeren, A., Schimmenti, A., van Rooij, A., Maurage, P., Carras, M., & Billieux, J. (2017). How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction, 112(10), 1709–1715.
Khang, H., Kim, J. K., & Kim, Y. (2013). Self-traits and motivations as antecedents of digital media flow and addiction: The internet, mobile phones, and video games. Computers in Human Behavior, 29, 2416–2424.
Kim, H. (2013). Exercise rehabilitation for smartphone addiction. Journal of Exercise Rehabilitation, 9, 500–505.
Kim, J. H., Seo, M., & David, P. (2015). Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? Computers in Human Behavior, 51, 440–447.
Kuss, D. J., & Billieux, J. (2016). Technological addictions: conceptualisation, measurement, etiology and treatment. Addictive Behaviors, 64, 231–233.
Lee, S., Lee, K., Yi, S. H., Park, H. J., Hong, Y. J., & Cho, H. (2016). Effects of parental psychological control on child’s school life: mobile phone dependency as mediator. Journal of Child and Family Studies, 25, 407–418.
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350.
Leung, L. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media, 2, 93–113.
Li, D., Zhou, Y., Li, X., & Zhou, Z. (2016). Perceived school climate and adolescent Internet addiction: the mediating role of deviant peer affiliation and the moderating role of effortful control. Computers in Human Behavior, 60, 54–61.
Li, Z., Wang, T., Liang, Y., & Wang, M. (2017). The relationship between mobile phone addiction and subjective well-being in college students: the mediating effect of social anxiety. Studies of Psychology and Behavior, 15, 562–568.
Lian, L., You, X., Huang, J., & Yang, R. (2016). Who overuses smartphones? Roles of virtues and parenting style in smartphone addiction among Chinese college students. Computers in Human Behavior, 65, 92–99.
Liu, Q. Q., Zhou, Z. K., Yang, X. J., Kong, F. C., Niu, G. F., & Fan, C. Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Computers in Human Behavior, 72, 108–114.
Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014). Prevalence of problematic mobile phone use in British adolescents. Cyberpsychology, Behavior, and Social Networking, 17, 91–98.
Lopez-Fernandez, O., Kuss, D. J., Romo, L., Morvan, Y., Kern, L., Graziani, P., & Schimmenti, A. (2017). Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey. Journal of Behavioral Addictions, 6(2), 168–177.
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33, 335–343.
Luo, F. S., Shen, D., & Zhang, S. M. (2009). Characteristics of anxiety and depression in adolescents. Chinese Journal of Clinical Psychology, 17, 468–470.
Malinowski, P., & Hui, J. L. (2015). Mindfulness atwork: Positive affect, hope, and optimism mediate the relationship between dispositional mindfulness, work engagement, and well-being. Mindfulness, 6, 1250–1262.
Mellor, D., Vinet, E. V., Xu, X., Bt Mamat, N. H., Richardson, B., & Román, F. (2015). Factorial invariance of the dass-21 among adolescents in four countries. European Journal of Psychological Assessment, 31, 138–142.
Merlo, L. (2008). Increased cell phone use may heighten symptoms of anxiety. Primary Psychiatry, 15(5), 27–28.
Monroe, S. M., & Simons, A. D. (1991). Diathesis-stress theories in the context of life stress research: implication for the depressive disorders. Psychological Bulletin, 110, 406–425.
Quaglia, J. T., Brown, K. W., Lindsay, E. K., Creswell, J. D., & Goodman, R. J. (2015). From conceptualization to operationalization of mindfu lness. In: K. W. Brown, J. D. Creswell, R. M. Ryan (Eds.), Handbook of mindfulness (pp. 151–170). New York: Guilford Press.
Roemer, L., Williston, S. K., & Rollins, L. G. (2015). Mindfulness and emotion regulation. Current Opinion in Psychology, 3, 52–57.
Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325.
Seo, D. G., Park, Y., Kim, M. K., & Park, J. (2016). Mobile phone dependency and its impacts on adolescents’ social and academic behaviors. Computers in Human Behavior, 63, 282–292.
Shapiro, S. L., Carlson, L. E., Astin, J. A., & Freedman, B. (2006). Mechanisms of mindfulness. J Clinical Psychology, 62, 373–386.
Sinclair, S. J., Siefert, C. J., Slavin-Mulford, J. M., Stein, M. B., Renna, M., & Blais, M. A. (2012). Psychometric evaluation and normative data for the depression, anxiety, and stress scales-21 (DASS-21) in a nonclinical sample of US adults. Evaluation and the Health Professions, 35, 259–279.
Soni, R., Upadhyay, R., & Jain, M. (2017). Prevalence of smart phone addiction, sleep quality and associated behaviour problems in adolescents. International Journal of Research in Medical Sciences, 5, 515–519.
Statista (2018). Number of mobile cell phone subscriptions in China from September 2017 to September 2018 (in millions). Retrieved September 2018. https://www.statista.com/statistics/278204/china-mobile-users-by-month/
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC Public Health, 11(1), 66.
Uusberg, H., Uusberg, A., Talpsep, T., & Paaver, M. (2016). Mechanisms of mindfulness: the dynamics of affective adaptation during open monitoring. Biological Psychology, 118, 94–106.
van Strien, T., Winkens, L., Toft, M. B., Pedersen, S., Brouwer, I., Visser, M., & Lähteenmäki, L. (2016). The mediation effect of emotional eating between depression and body mass index in the two European countries Denmark and Spain. Appetite, 105, 500–508.
Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181–188.
Wang, K., Shi, H. S., Geng, F. L., Zou, L. Q., Tan, S. P., Wang, Y., & Chan, R. C. (2016). Cross-cultural validation of the Depression Anxiety Stress Scale–21 in China. Psychological Assessment, 28, e88–e100.
Young, C. C., & Dietrich, M. S. (2015). Stressful life events, worry, and rumination predict depressive and anxiety symptoms in young adolescents. Journal of Child and Adolescent Psychiatric Nursing, 28, 35–42.
Zhou, Z. K., Liu, Q. Q., Niu, G. F., Sun, X. J., & Fan, C. Y. (2017). Bullying victimization and depression in Chinese children: a moderated mediation model of resilience and mindfulness. Personality and Individual Differences, 104, 137–142.
Acknowledgements
This study was supported by Major Program of National Social Science Foundation of China (11&ZD151), and Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality at Beijing Normal University (2019-04-003-BZPK01). We would like to express our deep gratitude to Yunbo Liu for her contribution to our research.
Author contributions
X.Y. designed and executed the study, and wrote the paper. Z.Z. collaborated with the design and writing of the study. Q.L. analyzed the data and collaborated with the writing of the study. C.F. collaborated in the writing and editing of the final manuscript.
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Yang, X., Zhou, Z., Liu, Q. et al. Mobile Phone Addiction and Adolescents’ Anxiety and Depression: The Moderating Role of Mindfulness. J Child Fam Stud 28, 822–830 (2019). https://doi.org/10.1007/s10826-018-01323-2
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DOI: https://doi.org/10.1007/s10826-018-01323-2