Abstract
Despite interest in psychosocial vulnerabilities to depression, little is known about reliable and valid individualized risk profiles that can be used to match individuals to evidence-based interventions for depression. This study investigated well-established cognitive and interpersonal vulnerabilities to depression among youth to discern an evidence-based risk classification approach which is being used in a personalized depression prevention randomized clinical trial. Data were drawn from a general community sample of adolescents (N = 467; ages 10–16, mean 13.14, SD = 1.62; 57% females) who were followed prospectively for 3 years. Youth completed measures of cognitive (negative cognitive style, dysfunctional attitudes, rumination) and interpersonal (support and conflict with peers and parents, excessive reassurance seeking, social competence, co-rumination) risks to depression, and then were followed longitudinally for onset of depression. Principal axis factor analyses showed that three latent factors--cognitive vulnerability, interpersonal support, and interpersonal conflict--optimally represented the structure of these risk factors. Clinically practical and meaningful cutoffs, based on tertile cut-off scores on cognitive and interpersonal risk measures, were used to categorize youth into relatively balanced high and low cognitive and interpersonal risk groups. These risk classification groups exhibited validity (AUC > 0.70) by predicting prospective onsets of depressive episodes at 18-months follow-ups. These findings demonstrate a reliable and valid approach to synthesize psychosocial vulnerabilities to depression, specifically cognitive and interpersonal risks. Results are discussed in terms of using these risk classifications profiles to test personalized prevention of depression during adolescence.
Similar content being viewed by others
Notes
Please contact the first author for specifics of these analyses and results.
References
Abela, J. R. Z., & Hankin, B. L. (2008). Cognitive vulnerability to depression in children and adolescents: A developmental psychopathology approach. In J. R. Z. Abela & B. L. Hankin (Eds.), Handbook of child and adolescent depression (pp. 35–78). New York: Guilford Press.
Abela, J. R. Z., & Hankin, B. L. (2011). Rumination as a vulnerability factor to depression during the transition from early to middle adolescence: A multiwave longitudinal study. Journal of Abnormal Psychology, 120(2), 259–271. https://doi.org/10.1037/a0022796
Abela, J. R. Z., & Sullivan, C. (2003). A test of Beck’s cognitive diathesis-stress theory of depression in early adolescents. Journal of Early Adolescence, 23(4), 384–404.
Abela, J. R. Z., Vanderbilt, E., & Rochon, A. (2004). A test of the integration of the response styles and social support theories of depression in third and seventh grade children. Journal of Social and Clinical Psychology, 23(5), 653–674.
Abela, J. R. Z., Zuroff, D. C., Ho, M. H. R., Adams, P., & Hankin, B. L. (2006). Excessive reassurance seeking, hassles, and depressive symptoms in children of affectively ill parents: A multiwave longitudinal study. Journal of Abnormal Child Psychology, 34, 171–187.
Abela, J. R. Z., Stolow, D., Mineka, S., Yao, S., Zhu, X. X., & Hankin, B. L. (2011). Cognitive vulnerability to depressive symptoms in urban and rural Hunan, China: A multi-wave longitudinal study. Journal of Abnormal Psychology, 120, 765–778.
Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96(2), 358–372.
Adams, P., Abela, J. R. Z., & Hankin, B. L. (2007). Factorial categorization of depression-related constructs in early adolescents. Journal of Cognitive Psychotherapy, 21(2), 123–139.
Bray, B. C., Lanza, S. T., & Tan, X. M. (2015). Eliminating bias in classify-analyze approaches for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 22, 1–11.
Clarke, G. N., Hawkins, W., Murphy, M., Sheeber, L. B., Lewinsohn, P. M., & Seeley, J. R. (1995). Targeted prevention of unipolar depressive disorder in an at-risk sample of high school adolescents: A randomized trial of a group cognitive intervention. Journal of the American Academy of Child & Adolescent Psychiatry, 34(3), 312–321.
Cole, D. A. (1990). Relation of social and academic competence to depressive symptoms in childhood. Journal of Abnormal Psychology, 99(4), 422–429.
Compton, W. M., & Lopez, M. F. (2014). Accuracy in reporting past psychiatric symptoms: The role of cross-sectional studies in psychiatric research. JAMA Psychiatry, 71(3), 233–234.
DeRubeis, R. J., Cohen, Z. D., Forand, N. R., Fournier, J. C., Gelfand, L. A., & Lorenzo-Luaces, L. (2014). The personalized advantage index: Translating research on prediction into individualized treatment recommendations. A demonstration. PLoS One, 9(1), 1–8.
Fischer, J. E., Bachmann, L. M., & Jaeschke, R. (2003). A readers’ guide to the interpretation of diagnostic test properties: Clinical example of sepsis. Intensive Care Medicine, 29, 1043–1051.
Flake, J. K., Pek, J., & Hehman, E. (2017). Construct validation in social and personality research: Current practice and recommendations. Social Psychological and Personality Science. https://doi.org/10.1177/1948550617693063
Furman, W., & Buhrmester, D. (2009). Methods and measures: The network of relationships inventory: Behavioral systems version. International Journal of Behavioral Development, 33(5), 470–478.
Garber, J., Clarke, G., Weersing, V. R., Beardslee, W. R., Brent, D. A., Gladstone, T. R., et al. (2009). Prevention of depression in at risk-adolescents: A randomized controlled trial. Journal of the American Medical Association, 301, 2215–2224.
Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. (2017). Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review. Journal of the American Medical Informatics Association, 24, 198–208.
Hamburg, M. A., & Collins, F. S. (2010). The path to personalized medicine. The New England Journal of Medicine, 363(4), 301–304.
Hammen, C. L., & Shih, J. (2014). Depression and interpersonal processes. In I. H. Gotlib & C. L. Hammen (Eds.), Handbook of depression (3rd ed., pp. 277–295). New York: Guilford Press.
Hankin, B. L. (2008). Cognitive vulnerability-stress model of depression during adolescence: Investigating depressive symptom specificity in a multi-wave prospective study. Journal of Abnormal Child Psychology, 36(7), 999–1014.
Hankin, B. L. (2012). Future directions in vulnerability to depression among youth: Integrating risk factors and processes across multiple levels of analysis. Journal of Clinical Child & Adolescent Psychology, 41(5), 695–718.
Hankin, B. L., & Abramson, L. Y. (2002). Measuring cognitive vulnerability to depression in adolescence: Reliability, validity, and gender differences. Journal of Clinical Child and Adolescent Psychology, 31(4), 491–504.
Hankin, B. L., Abramson, L. Y., Moffitt, T. E., Silva, P. a., McGee, R., & Angell, K. E. (1998). Development of depression from preadolescence to young adulthood: Emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology, 107, 128–140.
Hankin, B. L., Lakdawalla, Z., Carter, I. L., Abela, J. R. Z., & Adams, P. (2007). Are neuroticism, cognitive vulnerabilities and self-esteem overlapping or distinct risks for depression? Evidence from exploratory and confirmatory factor analyses. Journal of Social and Clinical Psychology, 26(1), 29–63.
Hankin, B. L., Oppenheimer, C., Jenness, J., Barrocas, A., & Shapero, B. G. (2009). Developmental origins of cognitive vulnerabilities to depression: Review of processes contributing to stability and change across time. Journal of Clinical Psychology, 65(12), 1327–1338.
Hankin, B. L., Stone, L., & Wright, P. A. (2010). Corumination, interpersonal stress generation, and internalizing symptoms: Accumulating effects and transactional influences in a multiwave study of adolescents. Development and Psychopathology, 22, 217–235.
Hankin, B. L., Young, J. F., Smolen, A., Jenness, J. L., Gulley, L. D., Technow, J. R., Barrocas Gottlieb, A., Cohen, J. R., & Oppenheimer, C. W. (2015). Depression from childhood in late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. Journal of Abnormal Psychology, 124, 803–816.
Hankin, B. L., Snyder, H. R., & Gulley, L. D. (2016). Cognitive risks in developmental psychopathology. In D. Cicchetti (Ed.), Developmental psychopathology, maladaptation and psychopathology (3rd ed., pp. 312–385). Hoboken: Wiley.
Harter, S. (1985). Manual for the Self-perception Profile for Children: (Revision of the Perceived Competence Scale for Children). Denver: University of Denver.
Horowitz, J. L., & Garber, J. (2006). The prevention of depressive symptoms in children and adolescents: A meta-analytic review. Journal of Consulting and Clinical Psychology, 74, 401.
Huibers, M. J. H., Cohen, Z. D., Lemmens, L. H. J. M., Arntz, A., Peeters, F. P. M. L., Cuijpers, P., & DeRubeis, R. J. (2015). Predicting optimal outcomes in cognitive therapy or interpersonal psychotherapy for depressed individuals using the personalized advantage index approach. PLoS One, 10(11), 1–16. https://doi.org/10.1371/journal.pone.0140771
Iniesta, R., Stahl, D., & McGuffin, P. (2016). Machine learning, statistical learning and the future of biological research in psychiatry. Psychological Medicine, 46(12), 2455–2465.
Joiner, T. E., & Metalsky, G. I. (1995). A prospective test of an integrative interpersonal theory of depression: A naturalistic study of college roommates. Journal of Personality and Social Psychology, 69(4), 778–788.
Kapur, S., Phillips, A. G., & Insel, T. R. (2012). Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? Molecular Psychiatry, 17, 1174–1179.
Kaufman, J., Birmaher, B., Brent, D., Rao, U. M. A., Flynn, C., Moreci, P., et al. (1997). Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): Initial reliability and validity data. Journal of the American Academy of Child & Adolescent Psychiatry, 36(7), 980–988.
Kessler, R. C., van Loo, H. M., Wardenaar, K. J., Bossarte, R. M., Brenner, L. A., Cai, T., et al. (2016). Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports. Molecular Psychiatry, 21(10), 1366–1371.
Kim-Cohen, J., Caspi, A., Moffitt, T. E., Harrington, H., Milne, B. J., & Poulton, R. (2003). Prior juvenile diagnoses in adults with mental disorder. Archives of General Psychiatry, 60, 709–717.
Klein, D. N., Dougherty, L. R., & Olino, T. M. (2005). Toward guidelines for evidence-based assessment of depression in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34, 412–432.
La Greca, A. M., & Harrison, H. M. (2005). Adolescent peer relations, friendships, and romantic relationships: Do they predict social anxiety and depression? Journal of Clinical Child and Adolescent Psychology, 34(1), 49–61.
Merry, S. N., Hetrick, S. E., Cox, G. R., Brudevold-Iversen, T., Bir, J. J., & McDowell, H. (2011). Psychological and educational interventions for preventing depression in children and adolescents. Evidence-Based Child Health: A Cochrane Review Journal, 7(5), 1409–1685.
Muñoz, R. F., Cuijpers, P., Smit, F., Barrera, A. Z., & Leykin, Y. (2010). Prevention of major depression. Annual Review of Clinical Psychology, 6, 181–212.
Niles, A. N., Loerinc, A. G., Krull, J. L., Roy-Byrne, P., Sullivan, G., Sherbourne, C. D., et al. (2017). Advancing personalized medicine: Application of a novel statistical method to identify treatment moderators in the coordinated anxiety learning and management study. Behavior Therapy, 48(4), 490–500.
Pintea, S., & Moldovan, R. (2009). The receiver-operating characteristic (ROC) analysis: Fundamentals and applications in clinical psychology. Journal of Cognitive and Behavioral Psychotherapies, 9(1), 49–66.
Rose, A. J. (2002). Co-rumination in the friendships of girls and boys. Child Development, 73(6), 1830–1843.
Rudolph, K. D., Lansford, J. E., & Rodkin, P. C. (2016). Interpersonal theories of developmental psychopathology. In D. Cicchetti (Ed.), Developmental psychopathology, maladaptation and psychopathology (3rd ed., pp. 312–385). Hoboken: Wiley.
Stice, E., Shaw, H., Bohon, C., Marti, C. N., & Rohde, P. (2009). A meta-analytic review of depression prevention programs for children and adolescents: Factors that predict magnitude of intervention effects. Journal of Consulting and Clinical Psychology, 77, 486–503.
World Health Organization. (2001). Mental health: A call for action by world health ministers. Geneva: World Health Organization.
Young, J. F., Mufron, L., & Schueler, C. M. (2016). Preventing adolescent depression: Interpersonal psychotherapy-adolescent skills training. NY: Oxford University Press.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. This research has been supported by NIMH grants R01MH077195, R01MH105501, and R21MH102210 to B.L. Hankin; Jami Young NIMH grant R01MH077178.
Conflict of Interest
The authors declare that they have no conflict of interest
Ethical Approval
Ethical approval and informed consent were approved by Rutgers University and University of Denver's IRB.
Rights and permissions
About this article
Cite this article
Hankin, B.L., Young, J.F., Gallop, R. et al. Cognitive and Interpersonal Vulnerabilities to Adolescent Depression: Classification of Risk Profiles for a Personalized Prevention Approach. J Abnorm Child Psychol 46, 1521–1533 (2018). https://doi.org/10.1007/s10802-018-0401-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10802-018-0401-2