Abstract
Social anxiety and depression are closely related to smartphone use severity, and rumination is proposed as a prominent mediator. However, their longitudinal relationship is rarely explored. Three hundred and ninety-seven participants (272 females, Mage = 21.45 yrs.) completed online questionnaires at three waves half a year apart. At wave 1, social anxiety and depression were assessed, followed by the evaluation of rumination at wave 2, and finally the measurement of smartphone use severity at wave 3. Structural equation modeling demonstrated that rumination fully mediated the relationship between psychopathology (social anxiety or depression) and smartphone use severity. Additionally, a multigroup analysis revealed that social anxiety exhibited stronger associations with depression and smartphone use severity in females than males. The present study confirmed the longitudinal mediating role of rumination between social anxiety (or depression) and problematic smartphone use, which provides intervention studies with important targeting factors.
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References
Adams, G. C., Balbuena, L., Meng, X., & Asmundson, G. J. G. (2016). When social anxiety and depression go together: A population study of comorbidity and associated consequences. Journal of Affective Disorders, 206, 48–54. https://doi.org/10.1016/j.jad.2016.07.031
Alrawad, M., Lutfi, A., Alyatama, S., Al Khattab, A., Alsoboa, S. S., Almaiah, M. A., Ramadan, M. H., Arafa, H. M., Ahmed, N. A., & Alsyouf, A. (2023). Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis. Journal of Retailing and Consumer Services, 71, 103188. https://doi.org/10.1016/j.jretconser.2022.103188
Arrivillaga, C., Rey, L., & Extremera, N. (2022). Psychological distress, rumination and problematic smartphone use among Spanish adolescents: An emotional intelligence-based conditional process analysis. Journal of Affective Disorders, 296, 1–8. https://doi.org/10.1016/j.jad.2021.09.021
Asher, M., Asnaani, A., & Aderka, I. M. (2017). Gender differences in social anxiety disorder: A review. Clinical Psychology Review, 56, 1–12. https://doi.org/10.1016/j.cpr.2017.05.004
Augner, C., Vlasak, T., Aichhorn, W., & Barth, A. (2023). The association between problematic smartphone use and symptoms of anxiety and depression—a meta-analysis. Journal of Public Health, 45(1), 193–201. https://doi.org/10.1093/pubmed/fdab350
Bedrov, A., & Gable, S. L. (2023). Thriving together: The benefits of women’s social ties for physical, psychological and relationship health. Philosophical Transactions of the Royal Society B, 378(1868), 20210441. https://doi.org/10.1098/rstb.2021.0441
Beesdo, K., Bittner, A., Pine, D. S., Stein, M. B., Höfler, M., Lieb, R., & Wittchen, H.-U. (2007). Incidence of social anxiety disorder and the consistent risk for secondary depression in the first three decades of life. Archives of General Psychiatry, 64(8), 903–912. https://doi.org/10.1001/archpsyc.64.8.903
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
Billieux, J., Philippot, P., Schmid, C., Maurage, P., De Mol, J., & Van der Linden, M. (2015). Is dysfunctional use of the mobile phone a behavioural addiction? confronting symptom-based versus process-based approaches. Clinical Psychology & Psychotherapy, 22(5), 460–468. https://doi.org/10.1002/cpp.1910
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). 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. Neuroscience & Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033
Calvete, E., Orue, I., & Hankin, B. L. (2015). Cross-lagged associations among ruminative response style, stressors, and depressive symptoms in adolescents. Journal of Social and Clinical Psychology, 34(3), 203–220. https://doi.org/10.1521/jscp.2015.34.3.203
Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558. https://doi.org/10.1037/0021-843X.112.4.558
Crippa, J. A. S., de Lima Osório, F., Del-Ben, C. M., Filho, A. S., da Silva Freitas, M. C., & Loureiro, S. R. (2008). Comparability between telephone and face-to-face structured clinical interview for DSM–IV in assessing social anxiety disorder. Perspectives in Psychiatric Care, 44(4), 241–247. https://doi.org/10.1111/j.1744-6163.2008.00183.x
Cummings, C. M., Caporino, N. E., & Kendall, P. C. (2014). Comorbidity of anxiety and depression in children and adolescents: 20 years after. Psychological Bulletin, 140(3), 816. https://doi.org/10.1037/a0034733
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
Ebert, D. D., Zarski, A.-C., Christensen, H., Stikkelbroek, Y., Cuijpers, P., Berking, M., & Riper, H. (2015). Internet and computer-based cognitive behavioral therapy for anxiety and depression in youth: A meta-analysis of randomized controlled outcome trials. PLoS ONE, 10(3), e0119895. https://doi.org/10.1371/journal.pone.0119895
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
Elhai, J. D., Tiamiyu, M., & Weeks, J. (2018). Depression and social anxiety in relation to problematic smartphone use: The prominent role of rumination. Internet Research, 28(2), 315–332. https://doi.org/10.1108/IntR-01-2017-0019
Epkins, C. C., & Heckler, D. R. (2011). Integrating etiological models of social anxiety and depression in youth: Evidence for a cumulative interpersonal risk model. Clinical Child and Family Psychology Review, 14, 329–376. https://doi.org/10.1007/s10567-011-0101-8
Eysenck, M. W., & Fajkowska, M. (2018). Anxiety and depression: Toward overlapping and distinctive features. Cognition and Emotion, 32(7), 1391–1400. https://doi.org/10.1080/02699931.2017.1330255
Flynn, M., Kecmanovic, J., & Alloy, L. B. (2010). An examination of integrated cognitive-interpersonal vulnerability to depression: The role of rumination, perceived social support, and interpersonal stress generation. Cognitive Therapy and Research, 34, 456–466. https://doi.org/10.1007/s10608-010-9300-8
Gao, L., Yang, C., Yang, X., Chu, X., Liu, Q., & Zhou, Z. (2022). Negative emotion and problematic mobile phone use: The mediating role of rumination and the moderating role of social support. Asian Journal of Social Psychology, 25(1), 138–151. https://doi.org/10.1111/ajsp.12471
Garber, J., & Weersing, V. R. (2010). Comorbidity of anxiety and depression in youth: Implications for treatment and prevention. Clinical Psychology: Science and Practice, 17(4), 293. https://doi.org/10.1111/j.1468-2850.2010.01221.x
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
Hao, Z., Jin, L., Li, Y., Akram, H. R., Saeed, M. F., Ma, J., Ma, H., & Huang, J. (2019). Alexithymia and mobile phone addiction in Chinese undergraduate students: The roles of mobile phone use patterns. Computers in Human Behavior, 97, 51–59. https://doi.org/10.1016/j.chb.2019.03.001
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, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Huang, H., Niu, L. Y., Zhou, C. Y., & Wu, H. (2014). Reliability and validity of mobile phone addiction index for Chinese college students. Chin J Clin Psychol, 22(5), 835–838.
Hutchins, N., Allen, A., Curran, M., & Kannis-Dymand, L. (2021). Social anxiety and online social interaction. Australian Psychologist, 56(2), 142–153. https://doi.org/10.1080/00050067.2021.1890977
Indian, M., & Grieve, R. (2014). When Facebook is easier than face-to-face: Social support derived from Facebook in socially anxious individuals. Personality and Individual Differences, 59, 102–106. https://doi.org/10.1016/j.paid.2013.11.016
Johnson, D. P., & Whisman, M. A. (2013). Gender differences in rumination: A meta-analysis. Personality and Individual Differences, 55(4), 367–374. https://doi.org/10.1016/j.paid.2013.03.019
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
Kayan, S., Fussell, S. R., & Setlock, L. D. (2006). Cultural differences in the use of instant messaging in Asia and North America. Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work, 525–528 https://doi.org/10.1145/1180875.1180956
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
Kong, F., Qin, J., Huang, B., Zhang, H., & Lei, L. (2020). The effect of social anxiety on mobile phone dependence among Chinese adolescents: A moderated mediation model. Children and Youth Services Review, 108, 104517. https://doi.org/10.1016/j.childyouth.2019.104517
Koyuncu, A., İnce, E., Ertekin, E., & Tükel, R. (2019). Comorbidity in social anxiety disorder: diagnostic and therapeutic challenges. Drugs in Context, 8,. https://doi.org/10.7573/dic.212573
Krause, E. D., Vélez, C. E., Woo, R., Hoffmann, B., Freres, D. R., Abenavoli, R. M., & Gillham, J. E. (2018). Rumination, depression, and gender in early adolescence: A longitudinal study of a bidirectional model. The Journal of Early Adolescence, 38(7), 923–946. https://doi.org/10.1177/0272431617704956
La Greca, A. M., & Lopez, N. (1998). Social anxiety among adolescents: Linkages with peer relations and friendships. Journal of Abnormal Child Psychology, 26, 83–94. https://doi.org/10.1023/a:1022684520514
Lebeau, R. T., Glenn, D. E., Hanover, L. N., Beesdo-Baum, K., Wittchen, H., & Craske, M. G. (2012). A dimensional approach to measuring anxiety for DSM-5. International Journal of Methods in Psychiatric Research, 21(4), 258–272. https://doi.org/10.1002/mpr.1369
LeBeau, R. T., Mesri, B., & Craske, M. G. (2016). The DSM-5 social anxiety disorder severity scale: Evidence of validity and reliability in a clinical sample. Psychiatry Research, 244, 94–96. https://doi.org/10.1016/j.psychres.2016.07.024
Leo, K., Kewitz, S., Wartberg, L., & Lindenberg, K. (2021). Depression and social anxiety predict internet use disorder symptoms in children and adolescents at 12-month follow-up: Results from a longitudinal study. Frontiers in Psychology, 12, 787162. https://doi.org/10.3389/fpsyg.2021.787162
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(2), 93–113. https://doi.org/10.1080/17482790802078565
Levis, B., Benedetti, A., Riehm, K. E., Saadat, N., Levis, A. W., Azar, M., Rice, D. B., Chiovitti, M. J., Sanchez, T. A., & Cuijpers, P. (2018). Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. The British Journal of Psychiatry, 212(6), 377–385. https://doi.org/10.1192/bjp.2018.54
Li, G.-X., Liu, L., Wang, M.-Q., Li, Y., & Wu, H. (2023). The longitudinal mediating effect of rumination on the relationship between depressive symptoms and problematic smartphone use in Chinese university students: A three-wave cross-lagged panel analysis. Addictive Behaviors, 150, 107907. https://doi.org/10.1016/j.addbeh.2023.107907
Liu, H., & Lou, V. W. Q. (2019). Developing a smartphone-based ecological momentary assessment protocol to collect biopsychosocial data with community-dwelling late-middle-aged and older adults. Translational Behavioral Medicine, 9(4), 711–719. https://doi.org/10.1093/tbm/iby096
Liu, M., & Lu, C. (2022). Mobile phone addiction and depressive symptoms among Chinese University students: The mediating role of sleep disturbances and the moderating role of gender. Frontiers in Public Health, 10, 965135. https://doi.org/10.3389/fpubh.2022.965135
Lovibond, P., & Lovibond, S. (1995). Manual for the Depression Anxiety Stress Scales. Psychology Foundation.
Makovac, E., Meeten, F., Watson, D. R., Herman, A., Garfinkel, S. N., Critchley, H. D., & Ottaviani, C. (2016). Alterations in amygdala-prefrontal functional connectivity account for excessive worry and autonomic dysregulation in generalized anxiety disorder. Biological Psychiatry, 80(10), 786–795. https://doi.org/10.1016/j.biopsych.2015.10.013
Martin, L. L., & Tesser, A. (1989). Toward a motivational and structural theory of ruminative thought. In J. S. Uleman & J. A. Bargh (Eds.), Unintended Thought (pp. 306–326). Guilford Press.
McLaughlin, K. A., & Nolen-Hoeksema, S. (2011). Rumination as a transdiagnostic factor in depression and anxiety. Behaviour Research and Therapy, 49(3), 186–193. https://doi.org/10.1016/j.brat.2010.12.006
Mellings, T. M. B., & Alden, L. E. (2000). Cognitive processes in social anxiety: The effects of self-focus, rumination and anticipatory processing. Behaviour Research and Therapy, 38(3), 243–257. https://doi.org/10.1016/S0005-7967(99)00040-6
Modini, M., Rapee, R. M., & Abbott, M. J. (2018). Processes and pathways mediating the experience of social anxiety and negative rumination. Behaviour Research and Therapy, 103, 24–32. https://doi.org/10.1016/j.brat.2018.01.009
Nolen-Hoeksema, S., & Davis, C. G. (1999). “ Thanks for sharing that”: Ruminators and their social support networks. Journal of Personality and Social Psychology, 77(4), 801. https://doi.org/10.1037/0022-3514.77.4.801
Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and posttraumatic stress symptoms after a natural disaster: The 1989 Loma Prieta Earthquake. Journal of Personality and Social Psychology, 61(1), 115. https://doi.org/10.1037/0022-3514.61.1.115
Nolen-Hoeksema, S., Stice, E., Wade, E., & Bohon, C. (2007). Reciprocal relations between rumination and bulimic, substance abuse, and depressive symptoms in female adolescents. Journal of Abnormal Psychology, 116(1), 198. https://doi.org/10.1037/0021-843x.116.1.198
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424. https://doi.org/10.1111/j.1745-6924.2008.00088.x
Olatunji, B. O., Naragon-Gainey, K., & Wolitzky-Taylor, K. B. (2013). Specificity of rumination in anxiety and depression: A multimodal meta-analysis. Clinical Psychology: Science and Practice, 20(3), 225. https://doi.org/10.1037/h0101719
Olson, J. A., Sandra, D. A., Veissière, S. P. L., & Langer, E. J. (2023). Sex, age, and smartphone addiction across 41 countries. International Journal of Mental Health and Addiction 1–9. https://doi.org/10.1007/s11469-023-01146-3
World Health Organization [WHO]. (2015). Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices: Meeting report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, 27–29 August 2014. Geneva, Switzerland: WHO. Retrieved from: http://apps.who.int/iris/bitstream/handle/10665/184264/9789241509367_eng.pdf?sequence=1.
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
Perestelo-Perez, L., Barraca, J., Penate, W., Rivero-Santana, A., & Alvarez-Perez, Y. (2017). Mindfulness-based interventions for the treatment of depressive rumination: Systematic review and meta-analysis. International Journal of Clinical and Health Psychology, 17(3), 282–295. https://doi.org/10.1016/j.ijchp.2017.07.004
Pierce, T. (2009). Social anxiety and technology: Face-to-face communication versus technological communication among teens. Computers in Human Behavior, 25(6), 1367–1372. https://doi.org/10.1016/j.chb.2009.06.003
Pivetta, E., Harkin, L., Billieux, J., Kanjo, E., & Kuss, D. J. (2019). Problematic smartphone use: An empirically validated model. Computers in Human Behavior, 100, 105–117. https://doi.org/10.1016/j.chb.2019.06.013
Preacher, K. J. (2015). Advances in mediation analysis: A survey and synthesis of new developments. Annual Review of Psychology, 66, 825–852. https://doi.org/10.1146/annurev-psych-010814-015258
Puterman, E., DeLongis, A., & Pomaki, G. (2010). Protecting us from ourselves: Social support as a buffer of trait and state rumination. Journal of Social and Clinical Psychology, 29(7), 797–820. https://doi.org/10.1521/jscp.2010.29.7.797
Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004
Querstret, D., & Cropley, M. (2013). Assessing treatments used to reduce rumination and/or worry: A systematic review. Clinical Psychology Review, 33(8), 996–1009. https://doi.org/10.1016/j.cpr.2013.08.004
Ran, G., Li, J., Zhang, Q., & Niu, X. (2022). The association between social anxiety and mobile phone addiction: A three-level meta-analysis. Computers in Human Behavior, 130, 107198. https://doi.org/10.1016/j.chb.2022.107198
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48, 1–36. https://doi.org/10.18637/jss.v048.i02
Rowa, K., & Antony, M. M. (2008). Generalized anxiety disorder. Psychopathology: History, Diagnosis, and Empirical Foundations, 78–114. https://doi.org/10.1016/s1098-3597(01)90060-2
Rozgonjuk, D., Levine, J. C., Hall, B. J., & Elhai, J. D. (2018). The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week. Computers in Human Behavior, 87, 10–17. https://doi.org/10.1016/j.chb.2018.05.019
Rueger, S. Y., Malecki, C. K., Pyun, Y., Aycock, C., & Coyle, S. (2016). A meta-analytic review of the association between perceived social support and depression in childhood and adolescence. Psychological Bulletin, 142(10), 1017. https://doi.org/10.1037/bul0000058
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161. https://doi.org/10.1037/h0077714
Salk, R. H., Hyde, J. S., & Abramson, L. Y. (2017). Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychological Bulletin, 143(8), 783. https://doi.org/10.1037/bul0000102
Schoemann, A. M., Boulton, A. J., & Short, S. D. (2017). Determining power and sample size for simple and complex mediation models. Social Psychological and Personality Science, 8(4), 379–386. https://doi.org/10.1177/1948550617715068
She, R., Han Mo, P. K., Li, J., Liu, X., Jiang, H., Chen, Y., Ma, L., & Fai Lau, J. T. (2023). The double-edged sword effect of social networking use intensity on problematic social networking use among college students: The role of social skills and social anxiety. Computers in Human Behavior, 140, 107555. https://doi.org/10.1016/j.chb.2022.107555
Sheena, M. K., Jimmy, J., Burkhouse, K. L., & Klumpp, H. (2021). Anterior cingulate cortex activity during attentional control corresponds with rumination in depression and social anxiety. Psychiatry Research: Neuroimaging, 317, 111385. https://doi.org/10.1016/j.pscychresns.2021.111385
Stein, M. B., Fuetsch, M., Müller, N., Höfler, M., Lieb, R., & Wittchen, H.-U. (2001). Social anxiety disorder and the risk of depression: A prospective community study of adolescents and young adults. Archives of General Psychiatry, 58(3), 251–256. https://doi.org/10.1001/archpsyc.58.3.251
Stein, M. B., & Stein, D. J. (2008). Social anxiety disorder. The Lancet, 371(9618), 1115–1125. https://doi.org/10.1016/S0140-6736(08)60488-2
Teng, Z., Pontes, H. M., Nie, Q., Griffiths, M. D., & Guo, C. (2021). Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study. Journal of Behavioral Addictions, 10(1), 169–180. https://doi.org/10.1556/2006.2021.00016
Turner, A. (2023, November). How many smartphones are in the world? https://www.bankmycell.com/blog/how-many-phones-are-in-the-world
Treynor, W., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27, 247–259. https://doi.org/10.1023/A:1023910315561
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
Vally, Z., Alghraibeh, A. M., & Elhai, J. D. (2021). Severity of depression and anxiety in relation to problematic smartphone use in the United Arab Emirates: The mediational roles of rumination and fear of missing out. Human Behavior and Emerging Technologies, 3(3), 423–431. https://doi.org/10.1002/hbe2.259
Wang, K., Shi, H.-S., Geng, F.-L., Zou, L.-Q., Tan, S.-P., Wang, Y., Neumann, D. L., Shum, D. H. K., & Chan, R. C. K. (2016). Cross-cultural validation of the depression anxiety stress scale–21 in China. Psychological Assessment, 28(5), e88. https://doi.org/10.1037/pas0000207
Wang, Y., Yang, H., Montag, C., & Elhai, J. D. (2020). Boredom proneness and rumination mediate relationships between depression and anxiety with problematic smartphone use severity. Current Psychology, 1–11. https://doi.org/10.1007/s12144-020-01052-0
Watkins, E. R., & Roberts, H. (2020). Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination. Behaviour Research and Therapy, 127, 103573. https://doi.org/10.1016/j.brat.2020.103573
Weiser, E. B. (2000). Gender differences in Internet use patterns and Internet application preferences: A two-sample comparison. Cyberpsychology and Behavior, 3(2), 167–178. https://doi.org/10.1089/109493100316012
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–231). The Guilford Press.
Whisman, M. A., du Pont, A., & Butterworth, P. (2020). Longitudinal associations between rumination and depressive symptoms in a probability sample of adults. Journal of Affective Disorders, 260, 680–686. https://doi.org/10.1016/j.jad.2019.09.035
Whitmer, A. J., & Gotlib, I. H. (2013). An attentional scope model of rumination. Psychological Bulletin, 139(5), 1036. https://doi.org/10.1037/a0030923
Woody, S. R., Miao, S., & Kellman-McFarlane, K. (2015). Cultural differences in social anxiety: A meta-analysis of Asian and European heritage samples. Asian American Journal of Psychology, 6(1), 47. https://doi.org/10.1037/a0036548
Xu, Y., Schneier, F., Heimberg, R. G., Princisvalle, K., Liebowitz, M. R., Wang, S., & Blanco, C. (2012). Gender differences in social anxiety disorder: Results from the national epidemiologic sample on alcohol and related conditions. Journal of Anxiety Disorders, 26(1), 12–19. https://doi.org/10.1016/j.janxdis.2011.08.006
Yang, J., Fu, X., Liao, X., & Li, Y. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 284, 112686. https://doi.org/10.1016/j.psychres.2019.112686
Zsido, A. N., Arato, N., Lang, A., Labadi, B., Stecina, D., & Bandi, S. A. (2021). The role of maladaptive cognitive emotion regulation strategies and social anxiety in problematic smartphone and social media use. Personality and Individual Differences, 173, 110647. https://doi.org/10.1016/j.paid.2021.110647
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This study was supported by Shanghai office of Philosophy and Social Science [2023ZSH001] granted to Yang Liu, and the Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission [22CGA52] granted to Lulu Hou.
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Liu, Y., Shi, Y., Zhang, L. et al. Rumination mediates the relationships between social anxiety and depression with problematic smartphone use in Chinese youth: A longitudinal approach. Int J Ment Health Addiction (2024). https://doi.org/10.1007/s11469-024-01318-9
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DOI: https://doi.org/10.1007/s11469-024-01318-9