Abstract
Previous cross-sectional studies have suggested that addictive behaviors are associated with life stress; however, limited research has explored the longitudinal associations between problematic mobile phone use (PMPU) and academic stress from a developmental perspective. According to relevant theory (e.g., the stress hypothesis, compensatory Internet use theory, and self-determination theory), depression is thought to potentially mediate this association and interpersonal relationships might further play a moderating role. To examine the mediating roles of depression and the moderating role of interpersonal relationships between academic stress and PMPU, the method of longitudinal structural equation modeling was adopted. A total of 642 Chinese adolescents were recruited to complete four psychological tests at three 6-month intervals over 1.5 years. The results indicated that depression partially mediated the association between academic stress and PMPU (β = 0.232, p < 0.001; β = 0.220, p < 0.001; 95% CI = [0.154, 0.286]), and higher quality interpersonal relationships could attenuate the potential harmful effects of academic stress on PMPU through depression (β = -0.080, p < 0.01, 95% CI = [-0.137, -0.022]). Overall, our findings address the issue of how and when academic stress predicts time-lagged PMPU, which could enhance theoretical understanding and practical intervention over time.
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References
Agnew, C. R., Loving, T. J., Le, B., & Goodfriend, W. (2004). Thinking close: Measuring relational closeness as perceived self-other inclusion. Handbook of closeness and intimacy (pp. 103–115). Lawrence Erlbaum Associates Publishers
Alter, A. (2018). Irresistible: The rise of addictive technology and the business of keeping us hooked. Penguin Books
Anisman, H., & Zacharko, R. M. (1992). Depression as a consequence of inadequate neurochemical adaptation in response to stressors. The British Journal of Psychiatry, 160(S15), 36–43. https://doi.org/10.1192/S0007125000296669
Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40(3), 373–400. https://doi.org/10.1207/s15327906mbr4003_5
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39–51. https://doi.org/10.1089/cpb.2005.8.39
Bronfenbrenner, U., & Ceci, S. J. (1994). Nature-nuture reconceptualized in developmental perspective: A bioecological model. Psychological Review, 101(4), 568–586. https://doi.org/10.1037/0033-295X.101.4.568
Bryant, J., & Zillmann, D. (1984). Using television to alleviate boredom and stress: Selective exposure as a function of induced excitational states. Journal of Broadcasting, 28(1), 1–20. https://doi.org/10.1080/08838158409386511
Çağan, Ö., Ünsal, A., & Çelik, N. (2014). Evaluation of college students’ the level of addiction to cellular phone and investigation on the relationship between the addiction and the level of depression. Procedia - Social and Behavioral Sciences, 114, 831–839. https://doi.org/10.1016/j.sbspro.2013.12.793
Chen, Y., Liu, X., Yan, N., Jia, W., Fan, Y., Yan, H. … Ma, L. (2020). Higher academic stress was associated with increased risk of overweight and obesity among college students in China. International Journal of Environmental Research and Public Health, 17(15), 5559. https://doi.org/10.3390/ijerph17155559
Chin, F., & Leung, C. H. (2018). The concurrent validity of the Internet Addiction Test (IAT) and the Mobile Phone Dependence Questionnaire (MPDQ). PLOS ONE, 13(6), e0197562. https://doi.org/10.1371/journal.pone.0197562
Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49–57. https://doi.org/10.1016/j.chb.2014.01.024
Cho, H. Y., Kim, D. J., & Park, J. W. (2017). Stress and adult smartphone addiction: Mediation by self-control, neuroticism, and extraversion. Stress and Health, 33(5), 624–630. https://doi.org/10.1002/smi.2749
Choenarom, C., Williams, R. A., & Hagerty, B. M. (2005). The role of sense of belonging and social support on stress and depression in individuals with depression. Archives of Psychiatric Nursing, 19(1), 18–29. https://doi.org/10.1016/j.apnu.2004.11.003
Cohen, S. (2004). Social relationships and health. The American Psychologist, 59(8), 676–684. https://doi.org/10.1037/0003-066X.59.8.676
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310
Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187–195. https://doi.org/10.1016/S0747-5632(00)00041-8
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Delfabbro, P. H., McArdle, P., & King, D. L. (2020). Political and policy issues in adolescent addiction. In Adolescent Addiction (pp. 319–334). Elsevier. https://doi.org/10.1016/B978-0-12-818626-8.00012-8
Elhai, J. D., Yang, H., Rozgonjuk, D., & Montag, C. (2020). Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out. Addictive Behaviors, 103, 106261. https://doi.org/10.1016/j.addbeh.2019.106261
Ensel, W. M., & Lin, N. (1996). Distal stressors and the life stress process. Journal of Community Psychology, 24(1), 66–82
Feeney, B. C., & Collins, N. L. (2015). A new look at social support: A theoretical perspective on thriving through relationships. Personality and Social Psychology Review: An Official Journal of the Society for Personality and Social Psychology, Inc, 19(2), 113–147. https://doi.org/10.1177/1088868314544222
Felger, J. C., Haroon, E., & Miller, A. H. (2015). Risk and resilience: Animal models shed light on the pivotal role of inflammation in individual differences in stress-induced depression. Biological Psychiatry, 78(1), 7–9. https://doi.org/10.1016/j.biopsych.2015.04.017
Foerster, M., Roser, K., Schoeni, A., & Röösli, M. (2015). Problematic mobile phone use in adolescents: Derivation of a short scale MPPUS-10. International Journal of Public Health, 60(2), 277–286. https://doi.org/10.1007/s00038-015-0660-4
Fox, H. C., Bergquist, K. L., Gu, P., & Sinha, R. (2010). Interactive Effects of Cumulative Stress and Impulsivity on Alcohol Consumption. Alcoholism-Clinical and Experimental Research, 34(8), 1376–1385. https://doi.org/10.1111/j.1530-0277.2010.01221.x
Gao, T., Li, J., Zhang, H., Gao, J., Kong, Y., Hu, Y., & Mei, S. (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
Gotlib, I. H., & Hammen, C. L. (Eds.). (2010). Handbook of depression (2nd ed.). Guilford Press
Hammen, C. (2005). Stress and depression. Annual Review of Clinical Psychology, 1(1), 293–319. https://doi.org/10.1146/annurev.clinpsy.1.102803.143938
Hankin, B. L. (2008). Rumination and depression in adolescence: Investigating symptom specificity in a multiwave prospective study. Journal of Clinical Child & Adolescent Psychology, 37(4), 701–713. https://doi.org/10.1080/15374410802359627
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 & Education, 98, 81–89. https://doi.org/10.1016/j.compedu.2016.03.007
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press
Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41(3), 924–936. https://doi.org/10.3758/BRM.41.3.924
Hong, W., Liu, R. D., Ding, Y., Sheng, X., & Zhen, R. (2020). Mobile phone addiction and cognitive failures in daily life: The mediating roles of sleep duration and quality and the moderating role of trait self-regulation. Addictive Behaviors, 107, 106383. https://doi.org/10.1016/j.addbeh.2020.106383
Hong, W., Liu, R. D., Oei, T. P., Zhen, R., Jiang, S., & Sheng, X. (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
Huebschmann, N. A., & Sheets, E. S. (2020). The right mindset: Stress mindset moderates the association between perceived stress and depressive symptoms. Anxiety, Stress, & Coping, 33(3), 248–255. https://doi.org/10.1080/10615806.2020.1736900
Johnson, P. O., & Neyman, J. (1936). Tests of certain linear hypotheses and their application to some educational problems. Statistical Research Memoirs, 1, 57–93
Kardefelt-Winther, D. (2014). Problematizing excessive online gaming and its psychological predictors. Computers in Human Behavior, 31, 118–122. https://doi.org/10.1016/j.chb.2013.10.017
Kim, D., Nam, J. K., Oh, J., & Kang, M. C. (2016). A latent profile analysis of the interplay between PC and smartphone in problematic internet use. Computers in Human Behavior, 56, 360–368. https://doi.org/10.1016/j.chb.2015.11.009
Korostiy, V., Markova, M., Kozhyna, H., Gaponov, K., & Lytvynenko, V. (2016). Neurobiological basis of mutual influence of stress burden and alcohol addiction: Review of data. European Psychiatry, 33(S1), S302–S302. https://doi.org/10.1016/j.eurpsy.2016.01.1034
Kuang-Tsan, C., & Fu-Yuan, H. (2017). Study on Relationship Among University Students’ Life Stress, Smart Mobile Phone Addiction, and Life Satisfaction. Journal of Adult Development, 24(2), 109–118. https://doi.org/10.1007/s10804-016-9250-9
Lachmann, B., Sindermann, C., Sariyska, R. Y., Luo, R., Melchers, M. C., Becker, B. … Montag, C. (2018). The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder. Frontiers in Psychology, 9, 398. https://doi.org/10.3389/fpsyg.2018.00398
Leung, G. S. M., Yeung, K. C., & Wong, D. F. K. (2010). Academic stressors and anxiety in children: The role of paternal support. Journal of Child and Family Studies, 19(1), 90–100. https://doi.org/10.1007/s10826-009-9288-4
Li, H., & Zhang, W. (2014). Peer support: Easing up the relationship between adolescents’ learning pressure and depression. Chinese Journal of Special Education, 10, 87–91
Li, Y., Sun, Q., Sun, M., Sun, P., Sun, Q., & Xia, X. (2021). Physical Exercise and Psychological Distress: The Mediating Roles of Problematic Mobile Phone Use and Learning Burnout among Adolescents. International Journal of Environmental Research and Public Health, 18(17), 9261. https://doi.org/10.3390/ijerph18179261
Liu, Y., & Lu, Z. (2011). The Chinese high school student’s stress in the school and academic achievement. Educational Psychology, 31(1), 27–35. https://doi.org/10.1080/01443410.2010.513959
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(2), 91–98. https://doi.org/10.1089/cyber.2012.0260
Monroe, S. M., & Simons, A. D. (1991). Diathesis-stress theories in the context of life stress research: Implications for the depressive disorders. Psychological Bulletin, 110(3), 406–425. https://doi.org/10.1037/0033-2909.110.3.406
Pan, B., Zhang, L., Zhang, W., & Ji, L. (2016). The relationship of academic underachievement, academic pressure and effortful control among adolescents: A cross-lagged study. Psychological Development and Education, 32(06), 717–724. https://doi.org/10.16187/j.cnki.issn1001-4918.2016.06.10
Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49
Pössel, P., Rudasill, K. M., Sawyer, M. G., Spence, S. H., & Bjerg, A. C. (2013). Associations between teacher emotional support and depressive symptoms in Australian adolescents: A 5-year longitudinal study. Developmental Psychology, 49(11), 2135–2146. https://doi.org/10.1037/a0031767
Quach, A. S., Epstein, N. B., Riley, P. J., Falconier, M. K., & Fang, X. (2015). Effects of parental warmth and academic pressure on anxiety and depression symptoms in Chinese adolescents. Journal of Child and Family Studies, 24(1), 106–116. https://doi.org/10.1007/s10826-013-9818-y
Ratan, Z. A., Parrish, A. M., Zaman, S. B., Alotaibi, M. S., & Hosseinzadeh, H. (2021). Smartphone Addiction and Associated Health Outcomes in Adult Populations: A Systematic Review. International Journal of Environmental Research and Public Health, 18(22), 12257. https://doi.org/10.3390/ijerph182212257
Ruisoto, P., & Contador, I. (2019). The role of stress in drug addiction. An integrative review. Physiology & Behavior, 202, 62–68. https://doi.org/10.1016/j.physbeh.2019.01.022
Sahın, S., Ozdemir, K., Unsal, A., & Temiz, N. (2013). Evaluation of mobile phone addiction level and sleep quality in university students. Pakistan Journal of Medical Sciences, 29(4), 913–918. https://doi.org/10.12669/pjms.294.3686
Sigerson, L., Li, A. Y. L., Cheung, M. W. L., & Cheng, C. (2017). Examining common information technology addictions and their relationships with non-technology-related addictions. Computers in Human Behavior, 75, 520–526. https://doi.org/10.1016/j.chb.2017.05.041
Snodgrass, J. G., Lacy, M. G., Dengah, H. J. F., Eisenhauer, S., Batchelder, G., & Cookson, R. J. (2014). A vacation from your mind: Problematic online gaming is a stress response. Computers in Human Behavior, 38, 248–260. https://doi.org/10.1016/j.chb.2014.06.004
Struthers, C. W., Perry, R. P., & Menec, V. H. (2000). An Examination of the Relationship Among Academic Stress, Coping, Motivation, and Performance in College. Research in Higher Education, 41, 581–592
Subba, S. H. (2013). Ringxiety and the Mobile Phone Usage Pattern among the Students of a Medical College in South India. Journal of Clinical and Diagnostic Research, 7(2), 205–209. https://doi.org/10.7860/JCDR/2013/4652.2729
Teixeira, C. A. B., Lasiuk, G., Barton, S., de Fernandes, M. N. F., & Gherardi-Donato, E. C. (2017). da S. An exploration of addiction in adults experiencing early-life stress: A metasynthesis. Revista Latino-Americana de Enfermagem, 25(0). https://doi.org/10.1590/1518-8345.2026.2939
Vahedi, Z., & Saiphoo, A. (2018). The association between smartphone use, stress, and anxiety: A meta-analytic review. Stress and Health, 34(3), 347–358. https://doi.org/10.1002/smi.2805
Wang, X., Cai, L., Qian, J., & Peng, J. (2014). Social support moderates stress effects on depression. International Journal of Mental Health Systems, 8(1), https://doi.org/10.1186/1752-4458-8-41
Waugh, M., & Guhn, M. (2014). Bioecological theory of human development. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 398–401). Springer Netherlands. https://doi.org/10.1007/978-94-007-0753-5_3438
Xu, T. T., Wang, H. Z., Fonseca, W., Zimmerman, M. A., Rost, D. H., Gaskin, J., & Wang, J. L. (2019). The relationship between academic stress and adolescents’ problematic smartphone usage. Addiction Research & Theory, 27(2), 162–169. https://doi.org/10.1080/16066359.2018.1488967
Yan, W., Li, Y., & Sui, N. (2014). The relationship between recent stressful life events, personality traits, perceived family functioning and internet addiction among college students: An interaction of life stress with psychoticism. Stress and Health, 30(1), 3–11. https://doi.org/10.1002/smi.2490
Yang, X., Wang, P., & Hu, P. (2020). Trait procrastination and mobile phone addiction among Chinese college students: A moderated mediation model of stress and gender. Frontiers in Psychology, 11, 614660. https://doi.org/10.3389/fpsyg.2020.614660
Yiengprugsawan, V., Kelly, M., & Tawatsupa, B. (2014). Kessler Psychological Distress Scale. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 3469–3470). Springer Netherlands. https://doi.org/10.1007/978-94-007-0753-5_3663
Zhen, R., Li, L., Liu, X., & Zhou, X. (2020). Negative life events, depression, and mobile phone dependency among left-behind adolescents in rural China: An interpersonal perspective. Children and Youth Services Review, 109, 104688. https://doi.org/10.1016/j.childyouth.2019.104688
Zhou, C., Chu, T., Wang, T., Peng, Q., He, J., Zheng, W. … Xu, L. (2008). Reliability and validity of 10-item Kessler Scale (K10) Chinese version in evaluation of mental health status of Chinese population. Chinese Journal of Clinical Psychology, 16(6), 627–629
Zhou, H., & Long, L. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942–950. http://journal.psych.ac.cn/adps/EN/
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This research was supported by the National Social Science Fund of China (No. 17BSH102). Thanks for the support of the participating schools’ students and teachers.
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Yang, X., Liu, RD., Ding, Y. et al. Interpersonal relationships moderate the relation between academic stress and mobile phone addiction via depression among Chinese adolescents: A three-wave longitudinal study. Curr Psychol 42, 19076–19086 (2023). https://doi.org/10.1007/s12144-022-02951-0
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DOI: https://doi.org/10.1007/s12144-022-02951-0