Top

Research on Child and Adolescent Psychopathology

Gepubliceerd in:

01-11-2013

A Direct Method of Assessing Underlying Cognitive Risk for Adolescent Depression

Auteurs: Adhip Rawal, Stephan Collishaw, Anita Thapar, Frances Rice

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 8/2013

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.

vorige artikel Comparisons Across Depression Assessment Instruments in Adolescence and Young Adulthood: An Item Response Theory Study Using Two Linking Methods

volgende artikel Genetic and Environmental Influences on Adolescent Rumination and its Association with Depressive Symptoms

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.

Andrews, G., Szabo, M., & Burns, J. (2002). Preventing major depression in young people. The British Journal of Psychiatry, 181, 460–462.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

Beck, A. T. (2008). The evolution of the cognitive model of depression and its neurobiological correlates. Americal Journal of Psychiatry, 165, 969–977.CrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

Clark, L., Chamberlain, S. R., & Sahakian, B. J. (2009). Neurocognitive mechanisms in depression: implications for treatment. Annual Review of Neuroscience, 32, 57–74.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

Fivush, R. (2011). The development of autobiographical memory. Annual Review of Psychology, 62, 559–582.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

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.CrossRef

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.CrossRef

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.CrossRef

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.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

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.PubMedCrossRef

Larsen, R. J., & Ketelaar, T. (1991). Personality and susceptibility to positive and negative emotional states. Journal of Personality and Social Psychology, 61, 132–140.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

Munoz, R. F., Beardslee, W. R., & Leykin, Y. (2012). Major depression can be prevented. American Psychologist, 67, 285–295.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012). Cognitive mechanisms of treatment in depression. Neuropsychopharmacology, 37, 117–136.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

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.PubMedCrossRef

Sheppard, L. C., & Teasdale, J. D. (2004). How does dysfunctional thinking decrease during recovery from major depression? Journal of Abnormal Psychology, 113, 64–71.PubMedCrossRef

Simon, G. E., & VonKorff, M. (1995). Recognition, management, and outcomes of depression in primary care. Archives of Family Medicine, 4, 99–105.PubMedCrossRef

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.PubMedCrossRef

Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Science, 9, 69–74.CrossRef

Taylor, L., & Ingram, R. E. (1999). Cognitive reactivity and depressotypic information processing in children of depressed mothers. Journal of Abnormal Psychology, 108, 202–210.PubMedCrossRef

Teasdale, J. D. (1988). Cognitive vulnerability to persistent depression. Cognition and Emotion, 2, 247–274.CrossRef

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.PubMedCrossRef

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

Timbremont, B., & Braet, C. (2004). Cognitive vulnerability in remitted depressed children and adolescents. Behaviour Research and Therapy, 42, 423–437.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

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.PubMedCrossRef

Titel: A Direct Method of Assessing Underlying Cognitive Risk for Adolescent Depression
Auteurs: Adhip Rawal
Stephan Collishaw
Anita Thapar
Frances Rice
Publicatiedatum: 01-11-2013
Uitgeverij: Springer US
Gepubliceerd in: Research on Child and Adolescent Psychopathology / Uitgave 8/2013
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI: https://doi.org/10.1007/s10802-013-9760-x

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

A Direct Method of Assessing Underlying Cognitive Risk for Adolescent Depression

Abstract

Andere artikelen Uitgave 8/2013

Early Exposure to Parental Depression and Parenting: Associations with Young Offspring’s Stress Physiology and Oppositional Behavior

Increased Error-Related Brain Activity in Six-Year-Old Children with Clinical Anxiety

School Connectedness and Problematic Internet Use in Adolescents: A Moderated Mediation Model of Deviant Peer Affiliation and Self-Control

Behavior Problems in Middle Childhood: The Predictive Role of Maternal Distress, Child Attachment, and Mother-Child Interactions

Longitudinal Links Between Childhood Peer Victimization, Internalizing and Externalizing Problems, and Academic Functioning: Developmental Cascades

The Unique and Interactive Contributions of Peer Victimization and Teacher-Child Relationships to Children’s School Adjustment

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Early Exposure to Parental Depression and Parenting: Associations with Young Offspring’s Stress Physiology and Oppositional Behavior

Increased Error-Related Brain Activity in Six-Year-Old Children with Clinical Anxiety

School Connectedness and Problematic Internet Use in Adolescents: A Moderated Mediation Model of Deviant Peer Affiliation and Self-Control

Behavior Problems in Middle Childhood: The Predictive Role of Maternal Distress, Child Attachment, and Mother-Child Interactions

Longitudinal Links Between Childhood Peer Victimization, Internalizing and Externalizing Problems, and Academic Functioning: Developmental Cascades

The Unique and Interactive Contributions of Peer Victimization and Teacher-Child Relationships to Children’s School Adjustment