Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Bullying fosters interpersonal distrust and degrades adolescent mental health as predicted by Social Safety Theory

Abstract

Social Safety Theory predicts that socially threatening experiences such as bullying degrade mental health partly by fostering the belief that others cannot be trusted. Here we tested this prediction by examining how peer bullying in childhood impacted adolescent mental health, and whether this effect was mediated by interpersonal distrust and several other commonly studied mediators—namely diet, sleep and physical activity—in 10,000 youth drawn from the UK’s Millennium Cohort Study. Youth bullied in childhood developed more internalizing, externalizing and total mental health problems in late adolescence, and this effect was partially mediated by interpersonal distrust during middle adolescence. Indeed, adolescents who developed greater distrust were approximately 3.5 times more likely to subsequently experience clinically significant mental health problems than those who developed less distrust. Individual and school-based interventions aimed at reducing the negative impact of bullying on mental health may thus benefit from bolstering youths’ sense of trust in others.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Frequency of peer bullying (at age 11) and mental health problems (at age 17).
Fig. 2: Peer bullying, distrust and mental health problems from age 11 to 17 years.
Fig. 3: Path diagram of the main model.

Similar content being viewed by others

Data availability

The data that support the findings of the present study are publicly available from the Millennium Cohort Study (UK Data Service) by application, under license. For further information on how to obtain the dataset, visit the UK Data Service website (https://ukdataservice.ac.uk/) or the relevant website of the Centre for Longitudinal Studies (https://cls.ucl.ac.uk/cls-studies/millennium-cohort-study/).

Code availability

Details of all the variable names, their processing and the full output of the R code are available on the Open Science Framework website (https://osf.io/zjq9a; ref. 5 in the Supplementary Information). D.I.T. accessed the data and wrote the code.

References

  1. Bitsko, R. H. et al. Mental health surveillance among children—United States, 2013–2019. MMWR Suppl. 71, 1–42 (2022).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  2. Ravens-Sieberer, U. et al. Impact of the COVID-19 pandemic on quality of life and mental health in children and adolescents in Germany. Eur. Child Adolesc. Psychiatry 31, 879–889 (2022).

    Article  PubMed  Google Scholar 

  3. Newlove-Delgado, T. et al. Child mental health in England before and during the COVID-19 lockdown. Lancet Psychiatry 8, 353–354 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Auerbach, R. P. et al. WHO World Mental Health Surveys International College Student Project: prevalence and distribution of mental disorders. J. Abnorm. Psychol. 127, 623–638 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Racine, N. et al. Global prevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: a meta-analysis. JAMA Pediatr. 175, 1142–1150 (2021).

    Article  PubMed  Google Scholar 

  6. Youth Risk Behavior Survey: Data Summary and Trends Report (Center for Disease Control and Prevention, 2023).

  7. Jones, S. et al. Mental health, suicidality, and connectedness among high school students during the COVID-19 pandemic—Adolescent Behaviors and Experiences Survey, United States, January–June 2021. MMWR Suppl. 71, 16–21 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Slavich, G. M. Social safety theory: a biologically based evolutionary perspective on life stress, health, and behavior. Annu. Rev. Clin. Psychol. 16, 265–295 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Slavich, G. M. Social Safety Theory: understanding social stress, disease risk, resilience, and behavior during the COVID-19 pandemic and beyond. Curr. Opin. Psychol. 45, 101299 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Slavich, G. M. et al. Social Safety Theory: conceptual foundation, underlying mechanisms, and future directions. Health Psychol. Rev. 17, 5–59 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  11. Gilbert, P. et al. Feeling safe and content: a specific affect regulation system? Relationship to depression, anxiety, stress, and self-criticism. J. Posit. Psychol. 3, 182–191 (2008).

    Article  Google Scholar 

  12. Hostinar, C. E., Sullivan, R. M. & Gunnar, M. R. Psychobiological mechanisms underlying the social buffering of the hypothalamic–pituitary–adrenocortical axis: a review of animal models and human studies across development. Psychol. Bull. 140, 256–282 (2014).

    Article  PubMed  Google Scholar 

  13. Slavich, G. M. & Irwin, M. R. From stress to inflammation and major depressive disorder: a social signal transduction theory of depression. Psychol. Bull. 140, 774–815 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Chen, G. Y. & Nuñez, G. Sterile inflammation: sensing and reacting to damage. Nat. Rev. Immunol. 10, 826–837 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Blascovich, J. & Mendes, W. B. in Handbook of Social Psychology Vol. 1, 5th edn 194–227 (John Wiley & Sons, 2010).

  16. Flouri, E. et al. Prenatal and childhood adversity and inflammation in children: a population-based longitudinal study. Brain Behav. Immun. 87, 524–530 (2020).

    Article  CAS  PubMed  Google Scholar 

  17. Iob, E. et al. Adverse childhood experiences and severity levels of inflammation and depression from childhood to young adulthood: a longitudinal cohort study. Mol. Psychiatry 27, 2255–2263 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Furman, D. et al. Chronic inflammation in the etiology of disease across the life span. Nat. Med. 25, 1822–1832 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Arseneault, L. Annual Research Review: the persistent and pervasive impact of being bullied in childhood and adolescence: implications for policy and practice. J. Child Psychol. Psychiatry 59, 405–421 (2018).

    Article  PubMed  Google Scholar 

  20. Stewart, J. G. et al. Peer victimization and suicidal thoughts and behaviors in depressed adolescents. J. Abnorm. Child Psychol. 46, 581–596 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Sinclair, H. C., Wilson, K. J. & Stubbs-Richardson, M. Advances in youth bullying research. Front. Psychol. 13, 860887 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Biswas, T. et al. Global variation in the prevalence of bullying victimisation amongst adolescents: role of peer and parental supports. EClinicalMedicine 20, 100276 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wolke, D. & Lereya, S. T. Long-term effects of bullying. Arch. Dis. Child. 100, 879–885 (2015).

    Article  PubMed  Google Scholar 

  24. Gini, G. & Pozzoli, T. Bullied children and psychosomatic problems: a meta-analysis. Pediatrics 132, 720–729 (2013).

    Article  PubMed  Google Scholar 

  25. Sweeting, H. et al. Peer victimization and depression in early–mid adolescence: a longitudinal study. Br. J. Educ. Psychol. 76, 577–594 (2006).

    Article  PubMed  Google Scholar 

  26. Lereya, S. T. et al. Being bullied during childhood and the prospective pathways to self-harm in late adolescence. J. Am. Acad. Child Adolesc. Psychiatry 52, 608–618.e2 (2013).

    Article  PubMed  Google Scholar 

  27. Copeland, W. E. et al. Adult psychiatric outcomes of bullying and being bullied by peers in childhood and adolescence. JAMA Psychiatry 70, 419–426 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Sharpe, H. et al. Changes in peer and sibling victimization in early adolescence: longitudinal associations with multiple indices of mental health in a prospective birth cohort study. Eur. Child Adolesc. Psychiatry 31, 737–746 (2022).

    Article  PubMed  Google Scholar 

  29. Moore, S. E. et al. Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J. Psychiatry 7, 60–76 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Vaillancourt, T. et al. Longitudinal links between childhood peer victimization, internalizing and externalizing problems, and academic functioning: developmental cascades. J. Abnorm. Child Psychol. 41, 1203–1215 (2013).

    Article  PubMed  Google Scholar 

  31. Schoeler, T. et al. Quasi-experimental evidence on short- and long-term consequences of bullying victimization: a meta-analysis. Psychol. Bull. 144, 1229–1246 (2018).

    Article  PubMed  Google Scholar 

  32. van Geel, M. et al. Does peer victimization predict low self-esteem, or does low self-esteem predict peer victimization? Meta-analyses on longitudinal studies. Dev. Rev. 49, 31–40 (2018).

    Article  Google Scholar 

  33. Young-Jones, A. et al. Bullying affects more than feelings: the long-term implications of victimization on academic motivation in higher education. Social Psychology of Education 18, 185–200 (2015).

    Article  Google Scholar 

  34. Gaffney, H., Ttofi, M. M. & Farrington, D. P. Evaluating the effectiveness of school-bullying prevention programs: an updated meta-analytical review. Aggress. Violent Behav. 45, 111–133 (2019).

    Article  Google Scholar 

  35. Menesini, E. & Salmivalli, C. Bullying in schools: the state of knowledge and effective interventions. Psychol. Health Med. 22, 240–253 (2017).

    Article  PubMed  Google Scholar 

  36. Gaffney, H., Ttofi, M. M. & Farrington, D. P. What works in anti-bullying programs? Analysis of effective intervention components. J. School Psychol. 85, 37–56 (2021).

    Article  Google Scholar 

  37. Marsh, H. W. et al. Peer victimization: an integrative review and cross-national test of a tripartite model. Educ. Psychol. Rev. 35, 46 (2023).

    Article  Google Scholar 

  38. Bonell, C. et al. Effects of the Learning Together intervention on bullying and aggression in English secondary schools (INCLUSIVE): a cluster randomised controlled trial. Lancet 392, 2452–2464 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Herkama, S. et al. Sleeping problems partly mediate the association between victimization and depression among youth. J. Child Family Stud. 28, 2477–2486 (2019).

    Article  Google Scholar 

  40. Sosnowski, D. W., Kliewer, W. & Lepore, S. J. The role of sleep in the relationship between victimization and externalizing problems in adolescents. J. Youth Adolesc. 45, 1744–1754 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Lee, K. S. & Vaillancourt, T. Developmental pathways between peer victimization, psychological functioning, disordered eating behavior, and body mass index: a review and theoretical model. Aggress. Violent Behav. 39, 15–24 (2018).

    Article  Google Scholar 

  42. Storch, E. A. et al. Peer victimization, psychosocial adjustment, and physical activity in overweight and at-risk-for-overweight youth. J. Pediatr. Psychol. 32, 80–89 (2007).

    Article  PubMed  Google Scholar 

  43. Eisenberg, M. & Neumark-Sztainer, D. Peer harassment and disordered eating. Int. J. Adolesc. Med. Health 20, 155–164 (2008).

    Article  PubMed  Google Scholar 

  44. Liang, K. et al. Food insecurity and bullying victimization among 170,618 adolescents in 59 countries. Front. Psychiatry 12, 766804 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Uslaner, E. M. The Moral Foundations of Trust (Cambridge Univ. Press, 2002).

  46. Rotenberg, K. J. in International Encyclopedia of the Social & Behavioral Sciences (eds Smelser, N. J. & Baltes, P. B.) 7866–7868 (Pergamon, 2001).

  47. Neil, L. et al. Trust and childhood maltreatment: evidence of bias in appraisal of unfamiliar faces. J. Child Psychol. Psychiatry 63, 655–662 (2022).

    Article  PubMed  Google Scholar 

  48. Turagabeci, A. R., Nakamura, K. & Takano, T. Healthy lifestyle behaviour decreasing risks of being bullied, violence and injury. PLoS ONE 3, e1585 (2008).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  49. Williford, A. et al. Effects of the KiVa anti-bullying program on adolescents’ depression, anxiety, and perception of peers. J. Abnorm. Child Psychol. 40, 289–300 (2012).

    Article  PubMed  Google Scholar 

  50. Albaladejo-Blázquez, N. et al. Poor dietary habits in bullied adolescents: the moderating effects of diet on depression. Int. J. Environ. Res. Public Health 15, 1569 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  51. Vugteveen, J., de Bildt, A. & Timmerman, M. E. Normative data for the self-reported and parent-reported Strengths and Difficulties Questionnaire (SDQ) for ages 12–17. Child Adolesc. Psychiatry Ment. Health 16, 5 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  52. Kim, S. S. et al. Association between interpersonal trust, reciprocity, and depression in South Korea: a prospective analysis. PLoS ONE 7, e30602 (2012).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  53. Fermin, A. S. R. et al. The neuroanatomy of social trust predicts depression vulnerability. Sci. Rep. 12, 16724 (2022).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  54. Blakemore, S.-J. The social brain in adolescence. Nat. Rev. Neurosci. 9, 267–277 (2008).

    Article  CAS  PubMed  Google Scholar 

  55. Frith, C. D. The social brain? Philos. Trans. R. Soc. B 362, 671–678 (2007).

    Article  Google Scholar 

  56. Krueger, F. & Meyer-Lindenberg, A. Toward a model of interpersonal trust drawn from neuroscience, psychology, and economics. Trends Neurosci. 42, 92–101 (2019).

    Article  CAS  PubMed  Google Scholar 

  57. Donaldson, Z. R. & Young, L. J. Oxytocin, vasopressin, and the neurogenetics of sociality. Science 322, 900–904 (2008).

    Article  ADS  CAS  PubMed  Google Scholar 

  58. Marsh, N. et al. Oxytocin and the neurobiology of prosocial behavior. Neuroscientist 27, 604–619 (2021).

    Article  CAS  PubMed  Google Scholar 

  59. Yan, Z. & Kirsch, P. in The Neurobiology of Trust (ed. Krueger, F.) 315–337 (Cambridge Univ. Press, 2021).

  60. Kosfeld, M. et al. Oxytocin increases trust in humans. Nature 435, 673–676 (2005).

    Article  ADS  CAS  PubMed  Google Scholar 

  61. Declerck, C. H. et al. A registered replication study on oxytocin and trust. Nat. Hum. Behav. 4, 646–655 (2020).

    Article  PubMed  Google Scholar 

  62. Neumann, I. D. & Landgraf, R. Balance of brain oxytocin and vasopressin: implications for anxiety, depression, and social behaviors. Trends Neurosci. 35, 649–659 (2012).

    Article  CAS  PubMed  Google Scholar 

  63. Xie, S. et al. The association of oxytocin with major depressive disorder: role of confounding effects of antidepressants. Rev. Neurosci. 33, 59–77 (2022).

    Article  CAS  PubMed  Google Scholar 

  64. Veiga, L. et al. Depressive symptomatology, temperament and oxytocin serum levels in a sample of healthy female university students. BMC Psychol. 10, 36 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. De Cagna, F. et al. The role of intranasal oxytocin in anxiety and depressive disorders: a systematic review of randomized controlled trials. Clin. Psychopharmacol. Neurosci. 17, 1–11 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  66. McQuaid, R. J. et al. Making room for oxytocin in understanding depression. Neurosci. Biobehav. Rev. 45, 305–322 (2014).

    Article  CAS  PubMed  Google Scholar 

  67. Heinrichs, M. et al. Social support and oxytocin interact to suppress cortisol and subjective responses to psychosocial stress. Biol. Psychiatry 54, 1389–1398 (2003).

    Article  CAS  PubMed  Google Scholar 

  68. Guzman-Holst, C. et al. Research review: do antibullying interventions reduce internalizing symptoms? A systematic review, meta-analysis, and meta-regression exploring intervention components, moderators, and mechanisms. J. Child Psychol. Psychiatry 63, 1454–1465 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  69. Joshi, H. & Fitzsimons, E. The Millennium Cohort Study: the making of a multi-purpose resource for social science and policy. Longitud. Life Course Stud. 7, 409–430 (2016).

    Article  Google Scholar 

  70. Plewis, I. et al. MCS: Technical Report on Sampling (Centre for Longitudinal Studies, 2004).

  71. Goodman, R. The Strengths and Difficulties Questionnaire: a research note. J. Child Psychol. Psychiatry 38, 581–586 (1997).

    Article  CAS  PubMed  Google Scholar 

  72. Lundh, L. G., Wångby-Lundh, M. & Bjärehed, J. Self-reported emotional and behavioral problems in Swedish 14 to 15-year-old adolescents: a study with the self-report version of the Strengths and Difficulties Questionnaire. Scand. J. Psychol. 49, 523–532 (2008).

    Article  PubMed  Google Scholar 

  73. Hoare, E. et al. Association of child and adolescent mental health with adolescent health behaviors in the UK Millennium Cohort. JAMA Network Open 3, e2011381 (2020).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  74. Biddle, S. J. H. & Asare, M. Physical activity and mental health in children and adolescents: a review of reviews. Br. J. Sports Med. 45, 886–895 (2011).

    Article  PubMed  Google Scholar 

  75. Haraden, D. A., Mullin, B. C. & Hankin, B. L. The relationship between depression and chronotype: a longitudinal assessment during childhood and adolescence. Depress. Anxiety 34, 967–976 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Patalay, P. & Fitzsimons, E. Development and predictors of mental ill-health and wellbeing from childhood to adolescence. Soc. Psychiatry Psychiatric Epidemiol. 53, 1311–1323 (2018).

    Article  Google Scholar 

  77. Patalay, P. & Hardman, C. A. Comorbidity, codevelopment, and temporal associations between body mass index and internalizing symptoms from early childhood to adolescence. JAMA Psychiatry 76, 721–729 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  78. Mueller, M. A. E. & Flouri, E. Urban adolescence: the role of neighbourhood greenspace in mental well-being. Front. Psychol. 12, 712065 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  79. Blakemore, S.-J. Adolescence and mental health. Lancet 393, 2030–2031 (2019).

    Article  PubMed  Google Scholar 

  80. Fitzsimons, E. et al. Poverty dynamics and parental mental health: determinants of childhood mental health in the UK. Soc. Sci. Med. 175, 43–51 (2017).

    Article  PubMed  Google Scholar 

  81. Church, D. & Midouhas, E. Data Note: MEDIX Air Pollution Data at Ward Level, Linked to MCS1 and MCS2 (UCL Institute of Education, 2016).

  82. Raghunathan, T. E. et al. A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodol. 27, 85–96 (2001).

    Google Scholar 

  83. Rubin, D. B. Multiple Imputation for Nonresponse in Surveys (John Wiley, 1987).

  84. R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing https://www.R-project.org/ (2018).

  85. Tsomokos, D. I. & Dunbar, R. I. M. The role of religion in adolescent mental health: faith as a moderator of the relationship between distrust and depression. Religion Brain Behav. https://doi.org/10.1080/2153599X.2023.2248230 (2023).

Download references

Acknowledgements

D.I.T. was partially supported by Alphablocks Nursery School Ltd. G.M.S. was supported by grant #OPR21101 from the California Governor’s Office of Planning and Research/California Initiative to Advance Precision Medicine.

Author information

Authors and Affiliations

Authors

Contributions

This article is the work of both authors (D.I.T. and G.M.S.).

Corresponding author

Correspondence to George M. Slavich.

Ethics declarations

Competing interests

The authors have no competing interests. The funders had no role in designing or planning this study; in collecting, analyzing or interpreting the data; in writing the article; or in deciding to submit this article for publication.

Peer review

Peer review information

Nature Mental Health thanks Carolina Guzman Holst and the other, anonymous, reviewers for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary text, Tables 1–6, Fig. 1 and References.

Reporting Summary

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tsomokos, D.I., Slavich, G.M. Bullying fosters interpersonal distrust and degrades adolescent mental health as predicted by Social Safety Theory. Nat. Mental Health 2, 328–336 (2024). https://doi.org/10.1038/s44220-024-00203-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s44220-024-00203-7

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing