Abstract
An enduring tendency towards negative thinking is thought to increase vulnerability for future depression. However, it has not been possible to assess this tendency in non-depressed mood states. We examined if response latency to endorse dysfunctional attitudes is associated with depressive outcomes in a longitudinal study. A sample of young people at familial risk of depression (N = 252, aged 10–19, 56.3 % female) completed a computer-administered dysfunctional attitude scale. The main outcome measure was the difference in reaction time to agree versus disagree with dysfunctional attitudes. Cross-sectional differences between current and previous depression and no psychiatric disorder groups as well as longitudinal associations with depressive symptoms were examined. Young people with current and previous depression were quicker to agree with dysfunctional attitudes than those without disorder. In young people free from depressive disorder, faster agreements with dysfunctional attitudes were specifically associated with increased depressive symptoms over time. Self-reported dysfunctional attitudes did not differentiate the formerly depressed and no disorder groups and showed a longitudinal association with depressive symptoms for older adolescents only. Reaction time to endorse dysfunctional attitudes may indicate changes in affective processing that represent an early risk for future depression that is not indexed by self-report measures of negative thought.
Similar content being viewed by others
Notes
The interaction between group and response type was maintained when analysis focussed specifically on MDD, F(2,137) = 4.58, p = 0.01.
We also analysed reaction time differences on the basis of diagnoses derived from the child interview only, as biases due to parental depression history may influence parental reports of child health (although a previous analysis of this cohort did not find evidence to support this interpretation, see Lewis et al. 2012, and our approach is consistent with clinical practice where information from parents would be important for diagnostic purposes). The pattern of means for the DAS-C latency difference score was highly similar: No disorder: M = 1608.55 (3621.84); Current depression: M = 81.98 (926.78); Previous depression: M = 306.00 (820.01), and the effect of group on reaction time difference scores was significant at trend-level, F(2,163) = 2.68, p = 0.07, despite the reduction in sample size in the current (N = 14) and previous depression (N = 8) groups.
References
Andrews, G., Szabo, M., & Burns, J. (2002). Preventing major depression in young people. The British Journal of Psychiatry, 181, 460–462.
Angold, A., & Costello, E. J. (1995). A test-retest reliability study of child-reported psychiatric symptoms and diagnoses using the child and adolescent psychiatric assessment (CAPA-C). Psychological Medicine, 25, 755–762.
Angold, A., Prendergast, M., Cox, A., Harrington, R., Simonoff, E., & Rutter, M. (1995). The child and adolescent psychiatric assessment (CAPA). Psychological Medicine, 25, 739–753.
Beck, A. T. (2008). The evolution of the cognitive model of depression and its neurobiological correlates. Americal Journal of Psychiatry, 165, 969–977.
Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford Press.
Best, J. R., & Miller, P. H. (2010). A developmental perspective on executive function. Child Development, 81, 1641–1660.
Birmaher, B., Khetarpal, S., Brent, D., Cully, M., Balach, L., Kaufman, J., et al. (1997). The ccreen for child anxiety related emotional disorders (SCARED): scale construction and psychometric characteristics. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 545–553.
Blackburn, I. M., Cameron, C. M., & Deary, I. J. (1990). Individual differences and response to the velten mood induction procedure. Personality and Individual Differences, 11, 725–731.
Clark, L., Chamberlain, S. R., & Sahakian, B. J. (2009). Neurocognitive mechanisms in depression: implications for treatment. Annual Review of Neuroscience, 32, 57–74.
Cole, D. A., Ciesla, J. A., Dallaire, D. H., Jacquez, F. M., Pineda, A. Q., LaGrange, B., et al. (2008). Emergence of attributional style and its relation to depressive symptoms. Journal of Abnormal Psychology, 117, 16–31.
Cooper, P. J., & Goodyer, I. (1993). A community study of depression in adolescent girls. I: estimates of symptom and syndrome prevalence. The British Journal of Psychiatry, 163, 369–374.
Costello, E. J., & Angold, A. (1988). Scales to assess child and adolescent depression: checklists, screens, and nets. Journal of the American Academy of Child and Adolescent Psychiatry, 27, 726–737.
Costello, E. J., Erkanli, A., & Angold, A. (2006). Is there an epidemic of child or adolescent depression? Journal of Child Psychology and Psychiatry, 47, 1263–1271.
D’Alessandro, D. U., & Burton, K. D. (2006). Development and validation of the dysfunctional attitudes scale for children: tests of Beck’s cognitive diathesis-stress theory of depression, of its causal mediation component, and of developmental effects. Cognitive Therapy and Research, 30, 335–353.
Daviss, W. B., Birmaher, B., Melhem, N. A., Axelson, D. A., Michaels, S. M., & Brent, D. A. (2006). Criterion validity of the mood and feelings questionnaire for depressive episodes in clinic and non-clinic subjects. Journal of Child Psychology and Psychiatry, 47, 927–934.
Dearing, K. F., & Gotlib, I. H. (2009). Interpretation of ambiguous information in girls at risk for depression. Journal of Abnormal Child Psychology, 37, 79–91.
Fazio, R. H., & Williams, C. J. (1986). Attitude accessibility as a moderator of the attitude-perception and attitude-behavior relations: an investigation of the 1984 presidential election. Journal of Personality and Social Psychology, 51, 505–514.
Fivush, R. (2011). The development of autobiographical memory. Annual Review of Psychology, 62, 559–582.
Fombonne, E., Wostear, G., Cooper, V., Harrington, R., & Rutter, M. (2001). The maudsley long-term follow-up of child and adolescent depression. 2. suicidality, criminality and social dysfunction in adulthood. The British Journal of Psychiatry, 179, 218–223.
Garber, J., Clarke, G. N., 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. JAMA : The Journal of the American Medical Association, 301, 2215–2224.
Howell, D. C. (1997). Statistical methods for psychology (4ed.). London: Duxbury Press.
Ingram, R. E., & Ritter, J. (2000). Vulnerability to depression: cognitive reactivity and parental bonding in high-risk individuals. Journal of Abnormal Psychology, 109, 588–596.
Ingram, R. E., Bernet, C. Z., & McLaughlin, S. C. (1994). Attentional allocation processes in individuals at risk for depression. Cognitive Therapy and Research, 18, 317–332.
Joiner, T. E. (1994). Covariance of baseline symptom scores in prediction of future symptoms scores: a methodological note. Cognitive Therapy and Research, 18, 497–504.
Joormann, J., & Siemer, M. (2011). Affective processing and emotion regulation in dysphoria and depression: cognitive biases and deficits in cognitive control. Social and Personality Psychology Compass, 5, 13–28.
Kelvin, R. G., Goodyer, I. M., Teasdale, J. D., & Brechin, D. (1999). Latent negative self-schema and high emotionality in well adolescents at risk for psychopathology. Journal of Child Psychology and Psychiatry, 40, 959–968.
Kendall, P. C., Hollon, S. D., Beck, A. T., Hammen, C. L., & Ingram, R. E. (1987). Issues and recommendations regarding the use of the beck depression inventory. Cognitive Therapy and Research, 11, 289–299.
Kent, L., Vostanis, P., & Feehan, C. (1997). Detection of major and minor depression in children and adolescents: evaluation of the mood and feelings questionnaire. Journal of Child Psychology and Psychiatry, 38, 565–573.
LaGrange, B., Cole, D. A., Dallaire, D. H., Ciesla, J. A., Pineda, A. Q., & Truss, A. E. (2008). Developmental changes in depressive cognitions: a longitudinal evaluation of the cognitive triad inventory for children. Psychological Assessment, 20, 217–226.
Larsen, R. J., & Ketelaar, T. (1991). Personality and susceptibility to positive and negative emotional states. Journal of Personality and Social Psychology, 61, 132–140.
Lewinsohn, P. M., Rohde, P., & Seeley, J. R. (1998). Major depressive disorder in older adolescents: prevalence, risk factors, and clinical implications. Clinical Psychology Review, 18, 765–794.
Lewis, K. J., Mars, B., Lewis, G., Rice, F., Sellers, R., Thapar, A. K., et al. (2012). Do parents know best?Parent-reported vs. child-reported depression symptoms as predictors of future child mood disorder in a high-risk sample. Journal of Affective Disorders, 141, 233–236.
Lieb, R., Isensee, B., Hofler, M., Pfister, H., & Wittchen, H. U. (2002). Parental major depression and the risk of depression and other mental disorders in offspring: a prospective-longitudinal community study. Archives of General Psychiatry, 59, 365–374.
Mars, B., Collishaw, S., Smith, D., Thapar, A., Potter, R., Sellers, R., et al. (2012). Offspring of parents with recurrent depression: which features of parent depression index risk for offspring psychopathology? Journal of Affective Disorders, 136, 44–53.
Marsh, R., Gerber, A. J., & Peterson, B. S. (2008). Neuroimaging studies of normal brain development and their relevance for understanding childhood neuropsychiatric disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 47, 1233–1251.
Munoz, R. F., Beardslee, W. R., & Leykin, Y. (2012). Major depression can be prevented. American Psychologist, 67, 285–295.
Nasrallah, H. A., Black, D. W., Goldberg, J. F., Muzina, D. J., & Pariser, S. F. (2008). Diagnosing and managing psychotic and mood disorders. Annals of Clinical Psychiatry, 20, 1–28.
Nuyen, J., Volkers, A. C., Verhaak, P. F., Schellevis, F. G., Groenewegen, P. P., & Van den Bos, G. A. (2005). Accuracy of diagnosing depression in primary care: the impact of chronic somatic and psychiatric co-morbidity. Psychological Medicine, 35, 1185–1195.
Piek, E., Nolen, W. A., van der Meer, K., Joling, K. J., Kollen, B. J., Penninx, B. W., et al. (2012). Determinants of (non-)recognition of depression by general practitioners: results of the Netherlands study of depression and anxiety. Journal of Affective Disorders, 138, 397–404.
Potter, R., Mars, B., Eyre, O., Legge, S., Ford, T., Sellers, R., et al. (2012). Missed opportunities: mental disorder in children of parents with depression. Britsish Journal of General Practice, 62, 487–493.
Robinson, O. J., & Sahakian, B. J. (2009). A double dissociation in the roles of serotonin and mood in healthy subjects. Biological Psychiatry, 65, 89–92.
Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012). Cognitive mechanisms of treatment in depression. Neuropsychopharmacology, 37, 117–136.
Scher, C. D., Ingram, R. E., & Segal, Z. V. (2005). Cognitive reactivity and vulnerability: empirical evaluation of construct activation and cognitive diatheses in unipolar depression. Clincal Psychology Review, 25, 487–510.
Segal, Z. V., Kennedy, S., Gemar, M., Hood, K., Pedersen, R., & Buis, T. (2006). Cognitive reactivity to sad mood provocation and the prediction of depressive relapse. Archives of General Psychiatry, 63, 749–755.
Sheppard, L. C., & Teasdale, J. D. (2000). Dysfunctional thinking in major depressive disorder: a deficit in metacognitive monitoring? Journal of Abnormal Psychology, 109, 768–776.
Sheppard, L. C., & Teasdale, J. D. (2004). How does dysfunctional thinking decrease during recovery from major depression? Journal of Abnormal Psychology, 113, 64–71.
Simon, G. E., & VonKorff, M. (1995). Recognition, management, and outcomes of depression in primary care. Archives of Family Medicine, 4, 99–105.
Solomon, D. A., Keller, M. B., Leon, A. C., Mueller, T. I., Lavori, P. W., Shea, M. T., et al. (2000). Multiple recurrences of major depressive disorder. The American Journal of Psychiatry, 157, 229–233.
Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Science, 9, 69–74.
Taylor, L., & Ingram, R. E. (1999). Cognitive reactivity and depressotypic information processing in children of depressed mothers. Journal of Abnormal Psychology, 108, 202–210.
Teasdale, J. D. (1988). Cognitive vulnerability to persistent depression. Cognition and Emotion, 2, 247–274.
Teasdale, J. D., Moore, R. G., Hayhurst, H., Pope, M., Williams, S., & Segal, Z. V. (2002). Metacognitive awareness and prevention of relapse in depression: empirical evidence. Journal of Consulting and Clinical Psychology, 70, 275–287.
Thapar, A., Collishaw, S., Pine, D. S., & Thapar, A. K. (2012). Depression in adolescence. Lancet, 379, 1056–1067.
Timbremont, B., & Braet, C. (2004). Cognitive vulnerability in remitted depressed children and adolescents. Behaviour Research and Therapy, 42, 423–437.
Tylee, A., & Walters, P. (2007). Underrecognition of anxiety and mood disorders in primary care: why does the problem exist and what can be done? The Journal of Clinical Psychiatry, 68, 27–30.
Wechsler, D. (2004). Wechsler intelligence scale for children (Fourth UKth ed.). London: Harcourt Assessment.
Weissman, M. M., Wickramaratne, P., Nomura, Y., Warner, V., Pilowsky, D., & Verdeli, H. (2006). Offspring of depressed parents: 20 years later. The American Journal of Psychiatry, 163, 1001–1008.
Wenzlaff, R. M., & Bates, D. E. (1998). Unmasking a cognitive vulnerability to depression: how lapses in mental control reveal depressive thinking. Journal of Personality and Social Psychology, 75, 1559–1571.
Westermann, R., Spies, K., Stahl, G., & Hesse, F. W. (1996). Relative effectiveness and validity of mood induction procedures: a meta-analysis. European Journal of Social Psychology, 26, 557–580.
Wing, J. K., Babor, T., Brugha, T., Burke, J., Cooper, J. E., Giel, R., et al. (1990). SCAN. Schedules for clinical assessment in neuropsychiatry. Archives of General Psychiatry, 47, 589–593.
Acknowledgments
The authors wish to thank the contributions of Nicholas Craddock, Gordon Harold, Michael Owen, Robert Potter, Daniel Smith and Ajay Thapar. A thank-you is also due to the field team: Becky Mars, Claire Delduca, Lynne Barry, Jennifer Hilgart, Eleni Kopsida, Olga Eyre, Ruth Sellers, Sophie Thomas, Sophie Canton, Gemma Hammerton, Sophie Keates, Garret Coy, Rebecca Davis, Katie Lewis, Lucy Kift and Valerie Russell.
Funding acknowledgment
This research was supported by the Medical Research Council (G0802200), the British Academy (SG-50591) and the Sir Jules Thorn Charitable Trust. SC is funded by the Waterloo Foundation.
Conflict of interest
None of the authors have financial interests or potential conflicts of interest.
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
About this article
Cite this article
Rawal, A., Collishaw, S., Thapar, A. et al. A Direct Method of Assessing Underlying Cognitive Risk for Adolescent Depression. J Abnorm Child Psychol 41, 1279–1288 (2013). https://doi.org/10.1007/s10802-013-9760-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10802-013-9760-x