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Relationships between early life adversity and depressive symptoms in adolescents: a network analysis

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Abstract

Previous studies have demonstrated that depressive symptoms in adolescents were strongly associated with early life adversity (ELA). However, previous studies mainly considered the relationships between a single dimension of ELA and depressive symptoms, while the relationship between various types of ELA and depressive symptoms in adolescents needs further investigation. The present study investigated the interplay between depressive symptoms and different dimensions of ELA via network analysis. A total of 736 adolescents were recruited and answered questionnaires to assess their depressive symptoms and ELAs. The regularized partial correlation network analysis was utilized to examine the direct associations between ELAs and depressive symptoms after controlling for the influence of other variables. The network structure revealed that depressive symptoms were independently associated with each type of ELA, including childhood threat/harshness, childhood deprivation, and childhood unpredictability. Moreover, among all ELA variables, emotional abuse (i.e., threat/harshness dimension) was mostly associated with depressive symptoms and demonstrated the highest expected influence among all nodes in the network. Findings suggested that emotional abuse plays a key role in the relationship between ELA and depressive symptoms in adolescents.

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Data availability

The datasets are available from the corresponding author on reasonable request.

References

  • Beck, A. T. (1979). Cognitive therapy and the emotional disorders. Penguin.

  • Bernstein, D. P., Fink, L., Handelsman, L., & Foote, J. (1998). Childhood trauma questionnaire. Assessment of family violence: A handbook for researchers and practitioners

  • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13.

    Article  PubMed  PubMed Central  Google Scholar 

  • Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A. M., Wysocki, A. C., Van Borkulo, C. D., Van Bork, R., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 58.

    Article  Google Scholar 

  • Bowlby, J. (1977). Aetiology and psychopathology in the light of attachment theory. British Journal of Psychiatry, 130, 201–210.

    Article  Google Scholar 

  • Bowlby, J. (1982). Attachment and loss: Retrospect and prospect. American Journal of Orthopsychiatry, 52(4), 664.

    Article  PubMed  Google Scholar 

  • Breuer, F., Greggersen, W., Kahl, K. G., Schweiger, U., & Westermair, A. L. (2020). Caught in a web of trauma: Network analysis of childhood adversity and adult mental ill-health. Child Abuse & Neglect, 107, 104534.

    Article  Google Scholar 

  • Bronfenbrenner, U. (2005). Making human beings human: Bioecological perspectives on human development. Sage Publications Ltd.

  • Clayborne, Z. M., Varin, M., & Colman, I. (2019). Systematic review and meta-analysis: Adolescent depression and long-term psychosocial outcomes. Journal of the American Academy of Child & Adolescent Psychiatry, 58(1), 72–79.

    Article  Google Scholar 

  • Constantin, M. A., Schuurman, N. K., & Vermunt, J. K. (2023). A general Monte Carlo method for sample size analysis in the context of network models. Psychological Methods. https://doi.org/10.1037/met0000555Advance online publication.

    Article  PubMed  Google Scholar 

  • Copeland, W. E., Alaie, I., Jonsson, U., & Shanahan, L. (2021). Associations of childhood and adolescent depression with adult psychiatric and functional outcomes. Journal of the American Academy of Child & Adolescent Psychiatry, 60(5), 604–611.

    Article  Google Scholar 

  • Costello, E. J., Copeland, W., & Angold, A. (2011). Trends in psychopathology across the adolescent years: What changes when children become adolescents, and when adolescents become adults? Journal of Child Psychology and Psychiatry and Allied Disciplines, 52(10), 1015–1025.

    Article  PubMed  Google Scholar 

  • Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48, 1–18.

    Article  Google Scholar 

  • Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212.

    Article  PubMed  Google Scholar 

  • Fung, H. W., Chung, H. M., & Ross, C. A. (2020). Demographic and mental health correlates of childhood emotional abuse and neglect in a Hong Kong sample. Child Abuse & Neglect, 99, 104288.

    Article  Google Scholar 

  • Gillespie, M. L., & Rao, U. (2022). Relationships between depression and executive functioning in adolescents: The moderating role of unpredictable home environment. Journal of Child and Family Studies, 31(9), 2518–2534.

    Article  PubMed  PubMed Central  Google Scholar 

  • Glickman, E. A., Choi, K. W., Lussier, A. A., Smith, B. J., & Dunn, E. C. (2021). Childhood emotional neglect and adolescent depression: Assessing the protective role of peer social support in a longitudinal birth cohort. Frontiers in Psychiatry, 12, 681176.

    Article  PubMed  PubMed Central  Google Scholar 

  • Glynn, L. M., & Baram, T. Z. (2019). The influence of unpredictable, fragmented parental signals on the developing brain. Frontiers in Neuroendocrinology, 53, 100736.

    Article  PubMed  PubMed Central  Google Scholar 

  • Glynn, L. M., Stern, H. S., Howland, M. A., Risbrough, V. B., Baker, D. G., Nievergelt, C. M., Baram, T. Z., & Davis, E. P. (2019). Measuring novel antecedents of mental illness: The questionnaire of unpredictability in childhood. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology, 44(5), 876–882.

    Article  PubMed  Google Scholar 

  • Griffin, A. (2017). Adolescent neurological development and implications for health and well-being. Healthcare, 5(4), Article4.

    Article  Google Scholar 

  • Hardi, F. A., Goetschius, L. G., Tillem, S., McLoyd, V., Brooks-Gunn, J., Boone, M., Lopez-Duran, N., Mitchell, C., Hyde, L. W., & Monk, C. S. (2023). Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study. Developmental Cognitive Neuroscience, 61, 101253.

    Article  PubMed  PubMed Central  Google Scholar 

  • Haslbeck, J. M. B., & Fried, E. I. (2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16), 2767–2776.

    Article  PubMed  Google Scholar 

  • Hu, Y. L., Zhang, Y. L., Liang, W., et al. (2014). Reliability and validity of the Patient Health Questionnaire-9 (PHQ-9) in adolescents. Sichuan Mental Health, 27(4), 357–360.

    Google Scholar 

  • Infurna, M. R., Reichl, C., Parzer, P., Schimmenti, A., Bifulco, A., & Kaess, M. (2016). Associations between depression and specific childhood experiences of abuse and neglect: A meta-analysis. Journal of Affective Disorders, 190, 47–55.

    Article  PubMed  Google Scholar 

  • Kessler, R. C., McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., Aguilar-Gaxiola, S., Alhamzawi, A. O., Alonso, J., Angermeyer, M., Benjet, C., Bromet, E., Chatterji, S., De Girolamo, G., Demyttenaere, K., Fayyad, J., Florescu, S., Gal, G., Gureje, O., & Williams, D. R. (2010). Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. British Journal of Psychiatry, 197(5), 378–385.

    Article  Google Scholar 

  • Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kwong, A. S. F., López-López, J. A., Hammerton, G., Manley, D., Timpson, N. J., Leckie, G., & Pearson, R. M. (2019). Genetic and environmental risk factors associated with trajectories of depression symptoms from adolescence to young adulthood. JAMA Network Open, 2(6), e196587.

  • LeMoult, J., Humphreys, K. L., Tracy, A., Hoffmeister, J. A., Ip, E., & Gotlib, I. H. (2020). Meta-analysis: Exposure to early life stress and risk for depression in childhood and adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 59(7), 842–855.

    Article  Google Scholar 

  • Li, S., Zhao, F., & Yu, G. (2022). Childhood emotional abuse and depression among adolescents: Roles of deviant peer affiliation and gender. Journal of Interpersonal Violence, 37(1–2), NP830–NP850.

    Article  PubMed  Google Scholar 

  • McLaughlin, K. A., Sheridan, M. A., Humphreys, K. L., Belsky, J., & Ellis, B. J. (2021). The value of dimensional models of early experience: Thinking clearly about concepts and categories. Perspectives on Psychological Science, 16(6), 1463–1472.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mittal, C., Griskevicius, V., Simpson, J. A., Sung, S., & Young, E. S. (2015). Cognitive adaptations to stressful environments: When childhood adversity enhances adult executive function. Journal of Personality and Social Psychology, 109(4), 604–621.

    Article  PubMed  Google Scholar 

  • Mullarkey, M., Marchetti, I., & Beevers, C. (2019). Using network analysis to identify central symptoms of adolescent depression. Journal of Clinical Child and Adolescent Psychology, 48(4), 656–668.

    Article  PubMed  Google Scholar 

  • Pittenger, S. L., Huit, T. Z., & Hansen, D. J. (2016). Applying ecological systems theory to sexual revictimization of youth: A review with implications for research and practice. Aggression and Violent Behavior, 26, 35–45.

    Article  Google Scholar 

  • Pollmann, A., Fritz, J., Barker, E., & Fuhrmann, D. (2022). Networks of adversity in childhood and adolescence and their relationship to adult mental health. Research on Child and Adolescent Psychopathology.

  • Rajkumar, R. P. (2022). Comorbid depression and anxiety: Integration of insights from attachment theory and cognitive neuroscience, and their implications for research and treatment. Frontiers in Behavioral Neuroscience, 16, 1104928.

    Article  PubMed  PubMed Central  Google Scholar 

  • Spruit, A., Goos, L., Weenink, N., Rodenburg, R., Niemeyer, H., Stams, G. J., & Colonnesi, C. (2020). The relation between attachment and depression in children and adolescents: A multilevel meta-analysis. Clinical Child and Family Psychology Review, 23, 54–69.

    Article  PubMed  Google Scholar 

  • Thapar, A., Collishaw, S., Pine, D. S., & Thapar, A. K. (2012). Depression in Adolescence Lancet, 379(9820), 1056–1067.

    PubMed  Google Scholar 

  • Wang, K., Hu, Y., He, Q., Xu, F., Wu, Y. J., Yang, Y., & Zhang, W. (2023). Network analysis links adolescent depression with childhood, peer, and family risk environment factors. Journal of Affective Disorders, 330, 165–172.

    Article  PubMed  Google Scholar 

  • Yang, M., Wang, Z., Liu, J., Lu, J., Chen, T., & Zhang, R. (2023). Understanding the relationship between early life adversity and depressive symptoms: A network analysis. Current Psychology.

  • Zhao, X., Zhang, Y., LI, L., & Zhou, Y. (2005). Evaluation on reliability and validity of Chinese version of childhood trauma questionnaire. Chinese Journal of Tissue Engineering Research, 209–211.

  • Zhao, T., Liu, H., Roeder, K., Lafferty, J., & Wasserman, L. (2012). The huge package for high-dimensional undirected graph estimation in R. The Journal of Machine Learning Research, 13, 1059–1062.

    PubMed  Google Scholar 

  • Zhao, J., Sun, X., & Wang, Q. (2021). Emotional neglect and depressive symptoms of left-behind adolescents: The role of friendship quality and gender. Journal of Affective Disorders, 295, 377–383.

    Article  PubMed  Google Scholar 

  • Zhou, X., & Zhen, R. (2022). How do physical and emotional abuse affect depression and problematic behaviors in adolescents? The roles of emotional regulation and anger. Child Abuse & Neglect, 129, 105641.

    Article  Google Scholar 

  • Zhou, J. H., Chen, Y., Zhang, Y., & Luo, J. M. (2023). Childhood unpredictability on altruistic behavior in college students: Moderated mediating effect. Chinese Journal of Clinical Psychology, 3, 704–708.

    Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China (32100891) and the Natural Science Foundation of Hunan Province (2021JJ40347).

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QZ analyzed the data and wrote up the drafts of the paper. CCL commented the drafts critically and revised the drafts of the paper. XYL and QCX collected data. MYY and ZYW interpreted findings. RTZ generated the idea, designed the study, and interpreted the findings.

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Correspondence to Rui-ting Zhang.

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This study was approved by the Ethics Committee of the Hunan Normal University.

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Zhou, Q., Li, Cc., Li, XY. et al. Relationships between early life adversity and depressive symptoms in adolescents: a network analysis. Curr Psychol 43, 16649–16656 (2024). https://doi.org/10.1007/s12144-024-05638-w

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