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Anxiety/Depression and Internet Addiction: Directions, Antecedents, and Outcomes

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Abstract

Purpose of Review

This paper aims to review the existing literature on the relationships between anxiety/depression and Internet addiction and their common risk factors, protective factors, and developmental outcomes.

Recent Findings

In the literature, three types of relationships have been revealed between anxiety/depression and Internet addiction, namely, anxiety/depression → Internet addiction, Internet addiction → anxiety/depression, and the bidirectional directions between them. Some personal characteristics such as neuroticism, shyness, low self-esteem, and low self-control and environmental factors such as childhood maltreatment and peer victimization may place individuals at increased risks of anxiety/depression and Internet addiction, but other psychological factors may prevent individuals from this. Anxiety/depression and Internet addiction exert a negative influence on individuals’ development.

Summary

Anxiety/depression and Internet addiction have some common risk factors and outcomes and the relationships between them were unidirectional and bidirectional. Longitudinal studies with more time points are needed to examine the relationships between anxiety/depression and Internet addiction.

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Data Availability

No datasets were generated or analysed during the current study.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Mohamed G, Bernouss R. A cross-sectional study on Internet addiction among Moroccan high school students, its prevalence and association with poor scholastic performance. Int J Adolesc Youth. 2020;25(1):479–90. https://doi.org/10.1080/02673843.2019.1674165.

    Article  Google Scholar 

  2. Wei C, Yu CF, Zhang W. Children’s stressful life experience, school connectedness, and e addiction moderated by gratitude. Soc Behav and Perso. 2019;47(12):1–11. https://doi.org/10.2224/sbp.7942.

    Article  Google Scholar 

  3. Mei S, Hu Y, Wu X, Cao R, Kong Y, Zhang L, et al. Health risks of mobile phone addiction among college students in China. Int J Ment Health Addict. 2022. https://doi.org/10.1007/s11469-021-00744-3.

    Article  Google Scholar 

  4. Xie X, Cheng H, Chen Z. Anxiety predicts internet addiction, which predicts depression among male college students: a cross-lagged comparison by sex. Front Psychol. 2023;13:1–10. https://doi.org/10.3389/FPSYG.2022.1102066.

    Article  Google Scholar 

  5. Zhang M, Bian Y. An analysis of the brain structures underlying the link between pathological Internet use and anxiety. Addict Behav. 2021;112(19): 106632. https://doi.org/10.1016/j.addbeh.2020.106632.

    Article  PubMed  Google Scholar 

  6. Gu J, Wang H, Xu Y, Zhan P, Wang J. Childhood maltreatment, basic psychological needs satisfaction, internet addiction and internalizing problems. J Appl Dev Psychol. 2023;86:101533. https://doi.org/10.1016/j.appdev.2023.101533. This paper investigated the association between childhood maltreatment and Internet addiction.

    Article  Google Scholar 

  7. Taha MH, Shehzad K, Alamro AS, Wadi M. Internet use and addiction among medical students in Qassim University, Saudi Arabia. Sultan Qaboos Univ Med J. 2019;19(2):142–7. https://doi.org/10.18295/squmj.2019.19.02.010.

    Article  Google Scholar 

  8. Karki K, Singh DR, Maharjan D, Sushmita KC, Shrestha S, Thapa DK. Internet addiction and sleep quality among adolescents in a peri-urban setting in Nepal: a cross-sectional school-based survey. PLo On. 2021;16:1–10. https://doi.org/10.1371/JOURNAL.PONE.0246940.

    Article  Google Scholar 

  9. Geng Y, Gu J, Wang J, Zhang R. Smartphone addiction and depression, anxiety: the role of bedtime procrastination and self-control. J Affect Disord. 2021;293:415–21. https://doi.org/10.1016/j.jad.2021.06.062.

    Article  PubMed  Google Scholar 

  10. Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W. Internet paradox: a social technology that reduces social involvement and psychological well-being? Am Psychol. 1998;53(9):1017–31. https://doi.org/10.1037/0003-066X.53.9.1017.

    Article  CAS  PubMed  Google Scholar 

  11. Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V, Crawford A. Internet paradox revisited. J Soc Issues. 2002;58(1):49–74. https://doi.org/10.1111/1540-4560.00248.

    Article  Google Scholar 

  12. Liu F, Zhang Z, Chen L. Mediating effect of neuroticism and negative coping style in relation to childhood psychological maltreatment and smartphone addiction among college students in China. Child Abus Negl. 2020;106: 104531. https://doi.org/10.1016/j.chiabu.2020.104531.

    Article  Google Scholar 

  13. Anthony JC. Epidemiology of drug dependence and illicit drug use. Curr Opin Psychiatry. 1991;4(3):479–561. https://doi.org/10.1002/0471234311.ch20.

    Article  Google Scholar 

  14. Kosten TR, Ziedonis DM. Substance abuse and schizophrenia: Editors’ introduction. Schizophr Bull. 1997;23(2):181–6. https://doi.org/10.1093/schbul/23.2.181.

    Article  CAS  PubMed  Google Scholar 

  15. Yang X, Guo W, Tao Y, Meng Y, Wang H, Li X, et al. A bidirectional association between Internet addiction and depression: a large-sample longitudinal study among Chinese university students. J Affect Disord. 2021;299:416–24. https://doi.org/10.1016/J.JAD.2021.12.013.

    Article  PubMed  Google Scholar 

  16. Li X, Luo X, Zheng R, Jin X, Mei L, Xie X, et al. The role of depressive symptoms, anxiety symptoms, and school functioning in the association between peer victimization and internet addiction: A moderated mediation model. J Affect Disord. 2019;256:125–31. https://doi.org/10.1016/j.jad.2019.05.080.

    Article  PubMed  Google Scholar 

  17. Yuan G, Elhai JD, Hall BJ. The influence of depressive symptoms and fear of missing out on severity of problematic smartphone use and Internet gaming disorder among Chinese young adults: a three-wave mediation model. Addict Behav. 2021;112: 106648. https://doi.org/10.1016/j.addbeh.2020.106648.

    Article  PubMed  Google Scholar 

  18. Zhao Q, Huang Y, Li C. Does adolescents’ Internet addiction trigger depressive symptoms and aggressive behavior, or vice versa? The moderating roles of peer relationships and gender. Comput Human Behav. 2022;129: 107143. https://doi.org/10.1016/j.chb.2021.107143.

    Article  Google Scholar 

  19. Liu Y, Yuan H, Song C, Li L, Zhou W, Wang W. Symptom relationships between internet addiction and anxiety across primary and middle school students during the Omicron lockdown. J Affect Disord. 2023;329(19):251–6. https://doi.org/10.1016/j.jad.2023.02.074.

    Article  PubMed  Google Scholar 

  20. Brand M, Wegmann E, Stark R, Müller A, Wölfling K, Robbins TW, 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. 2019;104:1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032.

    Article  PubMed  Google Scholar 

  21. Kardefelt-Winther D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput Human Behav. 2014;31(1):351–4. https://doi.org/10.1016/j.chb.2013.10.059.

    Article  Google Scholar 

  22. Davis RA. Cognitive-behavioral model of pathological Internet use. Comput Human Behav. 2001;17(2):187–95. https://doi.org/10.1016/S0747-5632(00)00041-8.

    Article  Google Scholar 

  23. Bryant J, Zillmann D. Using television to alleviate boredom and stress: selective exposure as a function of induced excitational states. J Broadcast. 1984;28(1):1–20. https://doi.org/10.1080/08838158409386511.

    Article  Google Scholar 

  24. Parker BJ, Plank RE. A uses and gratifications perspective on the internet as a new information source. Am Bus Rev. 2000;18(2):43–9.

    Google Scholar 

  25. Brand M, Young KS, Laier C, Wölfling K, Potenza MN. 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. Neurosci Biobehav Rev. 2016;71:252–66. https://doi.org/10.1016/j.neubiorev.2016.08.033.

    Article  PubMed  Google Scholar 

  26. Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. J Anxiety Disord. 2019;62:45–52. https://doi.org/10.1016/j.janxdis.2018.11.005.

    Article  PubMed  Google Scholar 

  27. Ranjan LK, Gupta PR, Srivastava M, Gujar MN. Problematic internet use and its association with anxiety among undergraduate students. Asian J Soc Heal Behav. 2021;4(4):137. https://doi.org/10.4103/shb.shb_30_21.

    Article  Google Scholar 

  28. Xiong J. The Influence of depression on college students’ online game addiction the mediating effect of maladaptive cognition. Cent China Norm Univ J Postgraduates. 2018;4:21–4.

    Google Scholar 

  29. Yang SY, Fu SH, Chen KL, Hsieh PL, Lin PH. Relationships between depression, health-related behaviors, and internet addiction in female junior college students. PLoS ONE. 2019;14(8):1–16. https://doi.org/10.1371/journal.pone.0220784.

    Article  CAS  Google Scholar 

  30. Foroughi B, Griffiths MD, Iranmanesh M, Salamzadeh Y. Associations between instagram addiction, academic performance, social anxiety, depression, and life satisfaction among university students. Int J Ment Health Addict. 2022;20(4):2221–42. https://doi.org/10.1007/s11469-021-00510-5.

    Article  Google Scholar 

  31. Soulioti E, Stavropoulos V, Christidi S, Papastefanou Y, Roussos P. The relationship of internet addiction with anxiety and depressive symptomatology. Psychiatrike. 2018;29(2):160–71. https://doi.org/10.22365/jpsych.2018.292.160.

    Article  CAS  PubMed  Google Scholar 

  32. Ruggiero TE. Uses and gratifications theory in the 21st century. Refin Milestone Mass Commun Theor 21st Century. 2018:36–70. https://doi.org/10.1207/S15327825MCS0301_02

  33. Lau JTF, Walden DL, Wu AMS, Cheng KM, Lau MCM, Mo PKH. Bidirectional predictions between Internet addiction and probable depression among Chinese adolescents. J Behav Addict. 2018;7(3):633–43. https://doi.org/10.1556/2006.7.2018.87.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Stanković M, Nešić M. Association of internet addiction with depression, anxiety, stress, and the quality of sleep: mediation analysis approach in Serbian medical students. Curr Res Behav Sci. 2022; 3. https://doi.org/10.1016/J.CRBEHA.2022.100071

  35. Li G, Hou G, Yang D, Jian H, Wang W. Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: a short-term longitudinal study. Addict Behav. 2019;90:421–7. https://doi.org/10.1016/j.addbeh.2018.12.009.

    Article  PubMed  Google Scholar 

  36. Mu W, Zhu D, Wang Y, Li F, Ye L, Wang K, et al. Three-wave longitudinal survey on the relationship between neuroticism and depressive symptoms of first-year college students: addictive use of social media as a moderated mediator. Int J Environ Res Public Health. 2020;17(17):1–13. https://doi.org/10.3390/ijerph17176074.

    Article  Google Scholar 

  37. Zhang D, Huebner ES, Tian L. Longitudinal associations among neuroticism, depression, and cyberbullying in early adolescents. Comput Human Behav. 2020;112: 106475. https://doi.org/10.1016/j.chb.2020.106475.

    Article  Google Scholar 

  38. Wang W, Xie X, Wang X, Lei L, Hu Q, Jiang S. Cyberbullying and depression among Chinese college students: a moderated mediation model of social anxiety and neuroticism. J Affect Disord. 2019;256:54–61. https://doi.org/10.1016/j.jad.2019.05.061.

    Article  PubMed  Google Scholar 

  39. Chew PKH. A meta-analytic review of Internet gaming disorder and the big five personality factors. Addict Behav. 2022;126: 107193. https://doi.org/10.1016/j.addbeh.2021.107193.

    Article  PubMed  Google Scholar 

  40. Marciano L, Camerini AL, Schulz PJ. Neuroticism and internet addiction: what is next? A systematic conceptual review. Pers Individ Dif. 2022;185: 111260. https://doi.org/10.1016/j.paid.2021.111260.

    Article  Google Scholar 

  41. Xiao J, Li D, Jia J, Wang Y, Sun W, Li D. The role of stressful life events and the big five personality traits in adolescent trajectories of problematic internet use. Psychol Addict Behav. 2019;33(4):360–70. https://doi.org/10.1037/adb0000466.

    Article  PubMed  Google Scholar 

  42. Zhou N, Geng X, Du H, Wu L, Xu J, Ma S, et al. Personality and problematic internet use among Chinese college students: the mediating role of maladaptive cognitions over internet use. Cyberpsychology, Behav Soc Netw. 2018;21(11):719–26. https://doi.org/10.1089/cyber.2018.0279.

    Article  Google Scholar 

  43. Mak KK, Scheer B, Yeh CH, Ohno S, Nam JK. Associations of personality traits with internet addiction: a cross-cultural meta-analysis with a multilingual approach. Cyberpsychology Behav Soc Netw. 2021;12(24):777–98. https://doi.org/10.1089/cyber.2021.0071.

    Article  Google Scholar 

  44. Prievara DK, Piko BF, Luszczynska A. Problematic internet use, social needs, and social support among youth. Int J Ment Health Addict. 2019;17(4):1008–19. https://doi.org/10.1007/s11469-018-9973-x.

    Article  Google Scholar 

  45. Hassan R, Rowa K, McCabe RE, Lahat A, Schmidt LA. Shyness and anxiety: protective role of extraversion. Pers Individ Dif. 2021;178: 110859. https://doi.org/10.1016/j.paid.2021.110859.

    Article  Google Scholar 

  46. Struijs SY, de Jong PJ, Jeronimus BF, van der Does W, Riese H, Spinhoven P. Psychological risk factors and the course of depression and anxiety disorders: a review of 15 years NESDA research. J Affect Disord. 2021;295:1347–59. https://doi.org/10.1016/J.JAD.2021.08.086.

    Article  PubMed  Google Scholar 

  47. Sowislo JF, Orth U. Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychol Bull. 2013;139(1):213–40. https://doi.org/10.1037/a0028931.

    Article  PubMed  Google Scholar 

  48. Casale S, Fioravanti G, Bocci Benucci S, Falone A, Ricca V, Rotella F. A meta-analysis on the association between self-esteem and problematic smartphone use. Comput Human Behav. 2022;134: 107302. https://doi.org/10.1016/j.chb.2022.107302.

    Article  Google Scholar 

  49. Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motiv Emot. 2006;30(4):347–63. https://doi.org/10.1007/s11031-006-9051-8.

    Article  Google Scholar 

  50. Lavoie C, Dufour M, Berbiche D, Therriault D, Lane J. The relationship between problematic internet use and anxiety disorder symptoms in youth: specificity of the type of application and gender. Comput Human Behav. 2023;140: 107604. https://doi.org/10.1016/j.chb.2022.107604.

    Article  Google Scholar 

  51. LaRose R. Unregulated internet usage: addiction, habit, or deficient self-regulation? Media Psychol. 2003;5(3):225–53. https://doi.org/10.1207/S1532785XMEP0503_01.

    Article  Google Scholar 

  52. Jeong H, Yim H, Lee S-Y, Lee H, Potenza M, Jo S-J, et al. Low self-control and aggression exert serial mediation between inattention/hyperactivity problems and severity of internet gaming disorder features longitudinally among adolescents. J Behav Addict. 2020;9. https://doi.org/10.1556/2006.2020.00039.

  53. Butterworth JW, Finley AJ, Baldwin CL, Kelley NJ. Self-control mediates age-related differences in psychological distress. Personal Individ Differ. 2022;(184). https://doi.org/10.1016/j.paid.2021.111137

  54. Guo Y, You X, Gu Y, Wu G, Xu C. A moderated mediation model of the relationship between quality of social relationships and internet addiction: mediation by loneliness and moderation by dispositional optimism. Curr Psychol. 2020;39(4):1303–13. https://doi.org/10.1007/s12144-018-9829-3.

    Article  Google Scholar 

  55. Wang J, He X, Chen Y, Lin C. Association between childhood trauma and depression: a moderated mediation analysis among normative Chinese college students. J Affect Disord. 2020;276:519–24. https://doi.org/10.1016/j.jad.2020.07.051.

    Article  PubMed  Google Scholar 

  56. Metts A V., Yarrington JS, Zinbarg R, Hammen C, Mineka S, Enders C, et al. Early-life adversity and risk for depression and anxiety: the role of interpersonal support. Dev Psychopathol. 2022;1–13. https://doi.org/10.1017/S0954579422000116

  57. Ma S, Huang Y, Ma Y. Childhood maltreatment and mobile phone addiction among Chinese adolescents: loneliness as a mediator and self-control as a moderator. Front Psychol. 2020;11:1–8. https://doi.org/10.3389/fpsyg.2020.00813.

    Article  Google Scholar 

  58. Guo Y, Gu J, Gaskin J, Yin X, Zhang Y, Wang J. The association of childhood maltreatment with internet addiction: the serial mediating effects of cognitive emotion regulation strategies and depression. Child Abus Negl. 2023;140(2): 106134. https://doi.org/10.1016/j.chiabu.2023.106134.

    Article  Google Scholar 

  59. Cole DA, Nolen-Hoeksema S, Girgus J, Paul G. Stress exposure and stress generation in child and adolescent depression: a latent trait-state-error approach to longitudinal analyses. J Abnorm Psychol. 2006;115(1):40–51. https://doi.org/10.1037/0021-843X.115.1.40.

    Article  PubMed  Google Scholar 

  60. Anderson JR, Mayes TL, Fuller A, Hughes JL, Minhajuddin A, Trivedi MH. Experiencing bullying’s impact on adolescent depression and anxiety: mediating role of adolescent resilience. J Affect Disord. 2022;310:477–83. https://doi.org/10.1016/j.jad.2022.04.003.

    Article  CAS  PubMed  Google Scholar 

  61. Schacter HL, Ehrhardt A. “It’s not you, it’s me”: examining the roles of romantic self-blame and social support in pathways from peer victimization to emerging adult depressive symptoms. J Interpers Violence. 2022;37(21–22):NP20994-1018. https://doi.org/10.1177/08862605211055153.

    Article  PubMed  Google Scholar 

  62. Salmivalli C. Peer victimization and adjustment in young adulthood: commentary on the special section. J Abnorm Child Psychol. 2018;1(46):67–72. https://doi.org/10.1007/s10802-017-0372-8.

    Article  Google Scholar 

  63. Pan B, Li T, Ji L, Malamut S, Zhang W, Salmivalli C. Why does classroom-level victimization moderate the association between victimization and depressive symptoms? The “healthy context paradox” and two explanations. Child Dev. 2021;92(5):1836–54. https://doi.org/10.1111/cdev.13624. This paper indicated that individuals who were victimized in healthy environment (low levels of classroom victimization) reported higher levels of depressive symptoms.

    Article  PubMed  Google Scholar 

  64. Boniel-Nissim M, Sasson H. Bullying victimization and poor relationships with parents as risk factors of problematic internet use in adolescence. Comput Human Behav. 2018;88:176–83. https://doi.org/10.1016/j.chb.2018.05.041.

    Article  Google Scholar 

  65. Bullock A, Liu J, Cheah CSL, Coplan RJ, Chen X, Li D. The role of adolescents’ perceived parental psychological control in the links between shyness and socio-emotional adjustment among youth. J Adolesc. 2018;68:117–26. https://doi.org/10.1016/j.adolescence.2018.07.007.

    Article  PubMed  Google Scholar 

  66. Zheng X, Chen J, Yu Q, Xiong Q, Zhang L, Li C, et al. Associations between peer victimization and problematic internet use among adolescents: humor makes a difference. J Interpers Violence. 2023. https://doi.org/10.1177/08862605221150463.

    Article  PubMed  Google Scholar 

  67. Lai X, Nie C, Huang S, Li Y, Xin T, Zhang C, et al. Effect of growth mindset on mental health two years later: the role of smartphone use. Int J Environ Res Public Health. 2022;19(6). https://doi.org/10.3390/ijerph19063355

  68. Yeager DS, Bryan CJ, Gross JJ, Murray JS, Krettek Cobb D, Santos P.H.F, et al. A synergistic mindsets intervention protects adolescents from stress. Nature. 2022;607(7919):512–20. https://doi.org/10.3390/ijerph19063355. This paper was published in Nature and it confirmed that mindsets intervention could protect adolescents from anxiety.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Yates TM, Gregor MA, Haviland MG. Child maltreatment, alexithymia, and problematic internet use in young adulthood. Cyberpsychology, Behav Soc Netw. 2012;15(4):219–25. https://doi.org/10.1089/cyber.2011.0427.

    Article  Google Scholar 

  70. Zsila Á, Aruguete MS, Shabahang R, Orosz G. Are gaming skills set in stone? Exploring the associations between mindset, passion, and gaming disorder. Pers Individ Dif. 2023;202. https://doi.org/10.1016/j.paid.2022.111996

  71. Burnette JL, Knouse LE, Vavra DT, O’Boyle E, Brooks MA. Growth mindsets and psychological distress: a meta-analysis. Clin Psychol Rev. 2020;77:101816. https://doi.org/10.1016/j.cpr.2020.101816. A review paper thoroughly discussing the relationship between growth mindset and psychological distress.

    Article  PubMed  Google Scholar 

  72. Carver CS, Scheier MF, Segerstrom SC. Optimism. Clin Psychol Rev. 2010;7(30):879–89. https://doi.org/10.1016/j.cpr.2010.01.006.

    Article  Google Scholar 

  73. Krifa I, Vanxyl LE, Braham A, Ben Nasr, Shankland R. Mental health during COVID-19 Pandemic: the role of optimism and emotional regulation. Int J Environ Res Public Health. 2022;19(3):1–17. https://doi.org/10.3390/ijerph19031413.

    Article  CAS  Google Scholar 

  74. Uribe FAR, de Oliveira SB, Junior AG, da Silva Pedroso J. Association between the dispositional optimism and depression in young people: a systematic review and meta-analysis. Psicol Reflex e Crit. 2021;34(1). https://doi.org/10.1186/s41155-021-00202-y

  75. Hinić D, Zotović M, Beara M, Rakić-Bajić G. Relationship of problematic internet use and positive orientation indicators in adolescents. Vol. 53, Psihologija. 2020. p. 341–57. https://doi.org/10.2298/PSI190720018H

  76. Sun P, Sun Y, Jiang H, Jia R, Li Z. Gratitude and problem behaviors in adolescents: the mediating roles of positive and negative coping styles. Front Psychol. 2019;10:1–8. https://doi.org/10.3389/fpsyg.2019.01547.

    Article  Google Scholar 

  77. Sun P, Sun Y, Jiang H, Jia R, Li Z. Gratitude as a protective factor against anxiety and depression among Chinese adolescents: the mediating role of coping flexibility. Asian J Soc Psychol. 2020;23(4):447–56. https://doi.org/10.1111/ajsp.12419.

    Article  Google Scholar 

  78. Lin CC. The effects of gratitude on suicidal ideation among late adolescence: a mediational chain. Curr Psychol. 2021;40(5):2242–50. https://doi.org/10.1007/s12144-019-0159-x.

    Article  Google Scholar 

  79. Cregg DR, Cheavens JS. Gratitude interventions: effective self-help? A meta-analysis of the impact on symptoms of depression and anxiety. Jour of Hap Stud. 2021;22:413–45. https://doi.org/10.1007/s10902-020-00236-6.

    Article  Google Scholar 

  80. Pullmer R, Chung J, Samson L, Balanji S, Zaitsoff S. A systematic review of the relation between self-compassion and depressive symptoms in adolescents. J Adolesc. 2019;74:210–20. https://doi.org/10.1016/j.adolescence.2019.06.006.

    Article  PubMed  Google Scholar 

  81. Bluth K, Gaylord SA, Campo RA, Mullarkey MC, Hobbs L. Making friends with yourself: a mixed methods pilot study of a mindful self-compassion program for adolescents. Mindfulness (N Y). 2016;7(2):479–92. https://doi.org/10.1007/s12671-015-0476-6.

    Article  PubMed  Google Scholar 

  82. Bluth K, Eisenlohr-Moul TA. Response to a mindful self-compassion intervention in teens: a within-person association of mindfulness, self-compassion, and emotional well-being outcomes. J Adolesc. 2017;57:108–18. https://doi.org/10.1016/j.adolescence.2017.04.001.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Moniri R, Pahlevani Nezhad K, Lavasani FF. Investigating anxiety and fear of COVID-19 as predictors of internet addiction with the mediating role of self-compassion and cognitive emotion regulation. Front Psychiatry. 2022;13:1–8. https://doi.org/10.3389/fpsyt.2022.841870.

    Article  Google Scholar 

  84. Li W, Guo Y, Lai W, Wang W, Li X, Zhu L, et al. Reciprocal relationships between self-esteem, coping styles and anxiety symptoms among adolescents: between-person and within-person effects. Child Adolesc Psychiatry Ment Health. 2023;17(1):1–16. https://doi.org/10.1186/s13034-023-00564-4.

    Article  Google Scholar 

  85. Zeng LP, Zeng XY, Huang YF, Zhao SY. The effects of perceived social support on job performance among primary and middle school teachers: a moderated mediating model. Stud Psychol Behav. 2022;20(3):404–11.

    Google Scholar 

  86. Wu XS, Zhang ZH, Zhao F, Wang WJ, Li YF, Bi L, et al. Prevalence of Internet addiction and its association with social support and other related factors among adolescents in China. J Adolesc. 2016;52:103–11. https://doi.org/10.1016/j.adolescence.2016.07.012.

    Article  PubMed  Google Scholar 

  87. Uçur Ö, Dönmez YE. Problematic internet gaming in adolescents, and its relationship with emotional regulation and perceived social support. Psychiatry Res. 2021;296. https://doi.org/10.1016/j.psychres.2020.113678

  88. Cui X, Chi X. The relationship between social support and internet addiction among Chinese adolescents during the covid-19 pandemic: a multiple mediation model of resilience and post-traumatic stress disorder symptoms. Psychol Res Behav Manag. 2021;14:1665–74. https://doi.org/10.2147/PRBM.S305510.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Zhou H, Dang L, Lam LW, Zhang MX, Wu AMS. A cross-lagged panel model for testing the bidirectional relationship between depression and smartphone addiction and the influences of maladaptive metacognition on them in Chinese adolescents. Addict Behav. 2021;120: 106978. https://doi.org/10.1016/j.addbeh.2021.106978.

    Article  PubMed  Google Scholar 

  90. Goodman RJ, Samek DR, Wilson S, Iacono WG, McGue M. Close relationships and depression: a developmental cascade approach. Dev Psychopathol. 2019;31(4):1451–65. https://doi.org/10.1017/S0954579418001037.

    Article  PubMed  PubMed Central  Google Scholar 

  91. Li X, Ding Y, Bai X, Liu L. Associations between parental mediation and adolescents’ internet addiction: the role of parent–child relationship and adolescents’ grades. Front Psychol. 2022;13. https://doi.org/10.3389/fpsyg.2022.1061631

  92. Masten AS. Ordinary magic: resilience processes in development. Am Psychol. 2001;56(3):227–38. https://doi.org/10.1037/0003-066X.56.3.227.

    Article  CAS  PubMed  Google Scholar 

  93. Zhang D, Jin B, Cui Y. Do teacher autonomy support and teacher–student relationships influence students’ depression? A 3-year longitudinal study. School Ment Health. 2022;14(1):110–24. https://doi.org/10.1007/s12310-021-09456-4.

    Article  CAS  Google Scholar 

  94. Jia J, Li D, Li X, Zhou Y, Wang Y, Sun W. Psychological security and deviant peer affiliation as mediators between teacher-student relationship and adolescent Internet addiction. Comput Human Behav. 2017;73:345–52. https://doi.org/10.1016/j.chb.2017.03.063.

    Article  Google Scholar 

  95. Esen BK, Gündoğdu M. The relationship between internet addiction, peer pressure and perceived social support among adolescents. Int J Educ Res. 2010;1(2):29–36.

    Google Scholar 

  96. Wang LX, Dou K, Bin Li J, Zhang MC, Guan JY. The association between interparental conflict and problematic internet use among Chinese adolescents: Testing a moderated mediation model. Comput Human Behav. 2021;122:106832. https://doi.org/10.1016/j.chb.2021.106832.

    Article  Google Scholar 

  97. Adedeji A, Otto C, Kaman A, Reiss F, Devine J, Ravens-Sieberer U. Peer relationships and depressive symptoms among adolescents: results from the German BELLA study. Front Psychol. 2022;12. https://doi.org/10.3389/fpsyg.2021.767922

  98. Jiang J, Wang P. Does early peer relationship last long? The enduring influence of early peer relationship on depression in middle and later life. J Affect Disord. 2020;273(115):86–94. https://doi.org/10.1016/j.jad.2020.04.043.

    Article  PubMed  Google Scholar 

  99. Savcı M, Aysan F. The role of attachment styles, peer relations, and affections in predicting Internet addiction. Addicta Turkish J Addict. 2016;3(3):401–32. https://doi.org/10.15805/addicta.2016.3.0028.

    Article  Google Scholar 

  100. Mundy LK, Canterford L, Moreno-Betancur M, Hoq M, Viner RM, Bayer JK, et al. Learning outcomes in primary school children with emotional problems: a prospective cohort study. Child Adolesc Ment Health. 2022. https://doi.org/10.1111/camh.12607.

    Article  PubMed  Google Scholar 

  101. Zhou D, Liu J, Wang T, Liu J, Li G. Relationships among problematic smartphone use, mathematics anxiety, learning interest, and achievement: a multiple mediation model. Comput Human Behav. 2022;129: 107171. https://doi.org/10.1016/j.chb.2021.107171.

    Article  Google Scholar 

  102. Geng J, Han L, Gao F, Jou M, Huang CC. Internet addiction and procrastination among Chinese young adults: a moderated mediation model. Comput Human Behav. 2018;84:320–33. https://doi.org/10.1016/j.chb.2018.03.013.

    Article  Google Scholar 

  103. Weidman AC, Augustine AA, Murayama K, Elliot AJ. Internalizing symptomatology and academic achievement: bi-directional prospective relations in adolescence. J Res Pers. 2015;58:106–14. https://doi.org/10.1016/j.jrp.2015.07.005.

    Article  Google Scholar 

  104. Eysenck MW, Derakshan N, Santos R, Calvo MG. Anxiety and cognitive performance: attentional control theory. Emotion. 2007;7(2):336–53. https://doi.org/10.1037/1528-3542.7.2.336.

    Article  PubMed  Google Scholar 

  105. Kim JH, Seo M, David P. Alleviating depression only to become problematic mobile phone users: can face-to-face communication be the antidote? Comput Human Behav. 2015;51:440–7. https://doi.org/10.1016/j.chb.2015.05.030.

    Article  Google Scholar 

  106. Dharmadhikari SP, Harshe SD, Bhide PP. Prevalence and correlates of excessive smartphone use among medical students: a cross-sectional study. Indian J Psychol Med. 2019;41(6):549–55. https://doi.org/10.1002/nop2.1484.

    Article  PubMed  PubMed Central  Google Scholar 

  107. Bélanger RE, Akre C, Berchtold A, Michaud PA. A U-shaped association between intensity of internet use and adolescent health. Pediatrics. 2011;127(2). https://doi.org/10.1542/peds.2010-1235

  108. Müller KW, Beutel ME, Wölfling K. Decreased occupational functioning and increased physical health complaints in treatment seekers with internet-related disorders: compared to patients with gambling disorder. Eur Addict Res. 2019;25(5):229–37. https://doi.org/10.1159/000500543.

    Article  PubMed  Google Scholar 

  109. Sohn SY, Krasnoff L, Rees P, Kalk NJ, Carter B. The association between smartphone addiction and sleep: a UK cross-sectional study of young adults. Front Psychiatry. 2021;12:1–10. https://doi.org/10.3389/fpsyt.2021.629407.

    Article  Google Scholar 

  110. Pandi-Perumal SR, Monti JM, Burman D, Karthikeyan R, BaHammam AS, Spence DW, et al. Clarifying the role of sleep in depression: a narrative review. Psychiatry Res. 2020;291: 113239. https://doi.org/10.1016/j.psychres.2020.113239.

    Article  CAS  PubMed  Google Scholar 

  111. Malmborg JS, Bremander A, Olsson MC, Bergman AC, Brorsson AS, Bergman S. Worse health status, sleeping problems, and anxiety in 16-year-old students are associated with chronic musculoskeletal pain at three-year follow-up. BMC Public Health. 2019;19(1):1–11. https://doi.org/10.1186/s12889-019-7955-y.

    Article  CAS  Google Scholar 

  112. Sanchez-Rodrguez E, Aragones E, Jensen MP, Tome-Pires C, Rambla C, Lopez-Cortacans G, et al. The role of pain-related cognitions in the relationship between pain severity, depression, and pain interference in a sample of primary care patients with both chronic pain and depression. Pain Med (United States). 2020;21(10):2200–11. https://doi.org/10.1093/pm/pnz363.

    Article  Google Scholar 

  113. Błachnio A, Przepiorka A, Benvenuti M, Mazzoni E, Seidman G. Relations between Facebook intrusion, Internet addiction, life satisfaction, and self-esteem: a study in Italy and the USA. Int J Ment Health Addict. 2019;17(793–805). https://doi.org/10.1007/s11469-018-0038-y

  114. Satici SA. Facebook addiction and subjective well-being: a study of the mediating role of shyness and loneliness. Int J Ment Health Addict. 2019;17(1):41–55. https://doi.org/10.1007/s11469-017-9862-8.

    Article  Google Scholar 

  115. Kwak Y, Kim H, Ahn JW. Impact of Internet usage time on mental health in adolescents: using the 14th Korea Youth Risk Behavior Web-Based Survey 2018. PLoS ONE. 2022;17:1–10. https://doi.org/10.1371/journal.pone.0264948.

    Article  CAS  Google Scholar 

  116. Zhang DJ, Wang X. The relationship between mental health and mental quality: connotative structure analysis. J Southwest Univ Sci Ed. 2012;38(3):69–74. https://doi.org/10.13718/j.cnki.xdsk.2012.03.012.

    Article  Google Scholar 

  117. Cai Z, Mao P, Wang Z, Wang D, He J, Fan X. Associations between problematic internet use and mental health outcomes of students: a meta-analytic review. Adolesc Res Rev. 2023;8(1):45–62. https://doi.org/10.1007/s40894-022-00201-9.

    Article  PubMed  PubMed Central  Google Scholar 

  118. Afroz N. Internet addiction and subjective well-being of university students. Indian J Heal Wellbeing. 2016;7(8):787–94.

    Google Scholar 

  119. Freire T, Ferreira G. Do I need to be positive to be happy? Considering the role of self-esteem, life satisfaction, and psychological distress in Portuguese adolescents’ subjective happiness. Psychol Rep. 2020;123(4):1064–82. https://doi.org/10.1177/0033294119846064.

    Article  PubMed  Google Scholar 

  120. Shao L, Yu G, Zhang D. The mechanisms underlying the negative effect of depression on life satisfaction among the elderly: the roles of ostracism and economic income. Int Psychogeriatrics. 2022;34(8):715–24. https://doi.org/10.1017/S1041610221001162.

    Article  Google Scholar 

  121. Zhang L, Guan Y. A systematic review of culturally adapted cognitive behavioral therapy (CA-CBT) for anxiety disorders in Southeast Asia. J Hazard Mater. 2021;127154. https://doi.org/10.1016/j.jhazmat.2021.127154

  122. Patel A, Daros AR, Irwin SH, Lau P, Hope IM, Perkovic SJM, et al. Associations between rumination, depression, and distress tolerance during CBT treatment for depression in a tertiary care setting. J Affect Disord. 2023;339:74–81. https://doi.org/10.1016/j.jad.2023.06.063.

    Article  PubMed  Google Scholar 

  123. Siste K, Hanafi E, Adrian Sen LT, Alison P, Beatrice E. Online dialectical behavioral therapy for adults with internet addiction: a quasi-experimental trial during the COVID-19 pandemic. Psychiatry Res. 2022;315(71):114698. https://doi.org/10.1016/j.psychres.2022.114698.

    Article  CAS  PubMed  Google Scholar 

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Funding

This study is funded by the program “The Influence of Cumulative Risk Factors on Mental Health of Left-behind Children in Urban–Rural Areas of Chongqing and the Related Interventions (2021WT3),” by “The Research Innovation Program of Graduate Students in Chongqing (CYB23097),” and by China Scholarship Council.

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J.J.G wrote the main manuscript. P.P.Z., Z.F.H., S.F.C., J.L.L., W.X., L.H., Y.Y. contributed equally to this manuscript. J.L.W supervised this manuscript.

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Correspondence to Jin-Liang Wang.

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Pingping Zhan, Jialing Liu, Wei Xu, Shanfang Cheng, Lan Huang, Zhaofei Huang, and Ying Xu contributed equally to this paper.

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Gu, J., Zhan, P., Huang, Z. et al. Anxiety/Depression and Internet Addiction: Directions, Antecedents, and Outcomes. Curr Addict Rep (2024). https://doi.org/10.1007/s40429-024-00565-z

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