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Reciprocal effects of stable and temporary components of neuroticism and affective disorders: results of a longitudinal cohort study

Published online by Cambridge University Press:  22 April 2013

P. Spinhoven*
Affiliation:
Institute of Psychology, Leiden University, The Netherlands Department of Psychiatry, Leiden University Medical Center, The Netherlands
E. Penelo
Affiliation:
Laboratori d'Estadística Aplicada, Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Spain
M. de Rooij
Affiliation:
Institute of Psychology, Leiden University, The Netherlands
B. W. Penninx
Affiliation:
Department of Psychiatry, Leiden University Medical Center, The Netherlands Department of Psychiatry, University Medical Center Groningen, The Netherlands Department of Psychiatry/EMGO Institute, VU University Medical Center, Amsterdam, The Netherlands
J. Ormel
Affiliation:
Department of Psychiatry, University Medical Center Groningen, The Netherlands
*
*Address for correspondence: P. Spinhoven, Ph.D., Leiden University, Institute of Psychology, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands. (Email: Spinhoven@FSW.LeidenUniv.NL)

Abstract

Background

Cross-sectional studies show that neuroticism is strongly associated with affective disorders. We investigated whether neuroticism and affective disorders mutually reinforce each other over time, setting off a potential downward spiral.

Method

A total of 2981 adults aged 18–65 years, consisting of healthy controls, persons with a prior history of affective disorders and persons with a current affective disorder were assessed at baseline (T1) and 2 (T2) and 4 years (T3) later. At each wave, affective disorders according to DSM-IV criteria were assessed with the Composite Interview Diagnostic Instrument (CIDI) version 2.1 and neuroticism with the Neuroticism–Extraversion–Openness Five Factor Inventory (NEO-FFI).

Results

Using structural equation models the association of distress disorders (i.e. dysthymia, depressive disorder, generalized anxiety disorder) and fear disorders (i.e. social anxiety disorder, panic disorder, agoraphobia without panic) with neuroticism could be attributed to three components: (a) a strong correlation of the stable components of distress and fear disorders with the stable trait component of neuroticism; (b) a modest contemporaneous association of change in distress and fear disorders with change in neuroticism; (c) a small to modest delayed effect of change in distress and fear disorders on change in neuroticism. Moreover, neuroticism scores in participants newly affected at T2 but remitted at T3 did not differ from their pre-morbid scores at T1.

Conclusions

Our results do not support a positive feedback cycle of changes in psychopathology and changes in neuroticism. In the context of a relative stability of neuroticism and affective disorders, only modest contemporaneous and small to modest delayed effects of psychopathology on neuroticism were observed.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Beck, AT, Epstein, N, Brown, G, Steer, RA (1988). An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting and Clinical Psychology 56, 893897.Google Scholar
Beesdo-Baum, K, Höfler, M, Gloster, AT, Klotsche, J, Lieb, R, Beauducel, A, Buhner, M, Kessler, RC, Wittchen, HU (2009). The structure of common mental disorders: a replication study in a community sample of adolescents and young adults. International Journal of Methods in Psychiatric Research 18, 204220.CrossRefGoogle Scholar
Brown, TA (2007). Temporal course and structural relationships among dimensions of temperament and DSM-IV anxiety and mood disorder constructs. Journal of Abnormal Psychology 116, 313328.Google Scholar
Carey, G, Dilalla, DL (1994). Personality and psychopathology: genetic perspectives. Journal of Abnormal Psychology 103, 3243.CrossRefGoogle ScholarPubMed
Clark, LA, Vittengl, J, Kraft, D, Jarrett, RB (2003). Separate personality traits from states to predict depression. Journal of Personality Disorders 17, 152172.Google Scholar
Clark, LA, Watson, D (1991). Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. Journal of Abnormal Psychology 100, 316336.CrossRefGoogle ScholarPubMed
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Erlbaum: Hillsdale, NJ.Google Scholar
Costa, PT, Bagby, RM, Herbst, JH, McCrae, RR (2005). Personality self-reports are concurrently reliable and valid during acute depressive episodes. Journal of Affective Disorders, 89, 4555.Google Scholar
Costa, PT, McCrae, RR (1992). NEO-PI-R Professional Manual. Psychological Assessment Resources: Odessa, FL.Google Scholar
de Fruyt, F, van Leeuwen, K, Bagby, RM, Rolland, JP, Rouillon, F (2006). Assessing and interpreting personality change and continuity in patients treated for major depression. Psychological Assessment 18, 7180.CrossRefGoogle ScholarPubMed
de Graaf, R, Bijl, RV, Ravelli, A, Smit, F, Vollenbergh, WAM (2002). Predictors of first incidence of DSM-III-R psychiatric disorders in the general population: findings from the Netherlands Mental Health Survey and Incidence Study. Acta Psychiatrica Scandinavica 106, 303313.Google Scholar
Duggan, CF, Lee, AS, Murray, RM (1990). Does personality predict long-term outcome in depression? British Journal of Psychiatry 157, 1924.Google Scholar
Duncan-Jones, P, Fergusson, DM, Ormel, J, Horwood, LJ (1990). A model of stability and change in minor psychiatric symptoms: results from three longitudinal studies. Psychological Medicine. Monograph Supplement 18, 128.Google Scholar
Fanous, AH, Neale, MC, Aggen, SH, Kendler, KS (2007). A longitudinal study of personality and major depression in a population-based sample of male twins. Psychological Medicine 37, 11631172.Google Scholar
Fergusson, DM, Horwood, LJ, Lawton, JM (1989). The relationship between neuroticism and depressive symptoms. Social Psychiatry and Psychiatric Epidemiology 24, 275281.Google Scholar
Ferrando, PJ (2000). Testing the equivalence among different item response formats in personality measurement: a structural equation modeling approach. Structural Equation Modeling 7, 271286.Google Scholar
Hettema, J, Neale, M, Myers, J, Prescott, C, Kendler, K (2006). A population-based twin study of the relationship between neuroticism and internalizing disorders. American Journal of Psychiatry 163, 857864.CrossRefGoogle ScholarPubMed
Hirschfeld, RMA, Klerman, GL, Clayton, PJ, Keller, MB, McDonald-Scott, P, Larkin, BH (1983). Assessing personality: effects of the depressive state on trait measurement. American Journal of Psychiatry 140, 695699.Google Scholar
Hu, L, Bentler, PM (1998). Fit indices in covariance structure analysis: sensitivity to under-parameterized model misspecification. Psychological Methods 3, 424453.Google Scholar
Jackson, DL, Gillaspy, JA, Purc-Stephenson, R (2009). Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychological Methods 14, 623.Google Scholar
Jylhä, P, Melarin, T, Rytsälä, H, Isometsä, E (2009). Neuroticism, introversion, and major depressive disorder: traits, states, or scars? Depression and Anxiety 26, 325334.Google Scholar
Karsten, J, Penninx, BWJH, Riese, H, Ormel, J, Nolen, WA, Hartman, CA (2012). The state effect of depressive and anxiety disorders on the Big Five personality traits. Journal of Psychiatric Research 46, 644650.CrossRefGoogle Scholar
Kendler, KS, Gardner, CO (2011). A longitudinal etiologic model for symptoms of anxiety and depression in women. Psychological Medicine 41, 20352045.Google Scholar
Kendler, KS, Gatz, M, Gardner, CO, Pederson, NL (2006). Personality and major depression. Archives of General Psychiatry 63, 11131120.Google Scholar
Kendler, KS, Myers, J (2010). The genetic and environmental relationship between major depression and the five-factor model of personality. Psychological Medicine 40, 801806.Google Scholar
Kendler, KS, Neale, MC, Kessler, RC, Heath, AC, Eaves, LJ (1993). The lifetime history of major depression in women: reliability of diagnosis and heritability. Archives of General Psychiatry 50, 863870.Google Scholar
Kendler, KS, Thornton, LM, Gardner, CO (2000). Stressful life events and previous episodes in the etiology of major depression in women: an evaluation of the ‘kindling’ hypothesis. American Journal of Psychiatry 157, 12431251.Google Scholar
Kendler, KS, Thornton, LM, Gardner, CO (2001). Genetic risk, number of previous depressive episodes, and stressful life events in predicting onset of major depression. American Journal of Psychiatry 158, 582586.Google Scholar
Klein, DN, Kotov, R, Bufferd, SJ (2011). Personality and depression: explanatory models and review of the evidence. Annual Review of Clinical Psychology 7, 269295.Google Scholar
Kotov, R, Gamez, W, Schmidt, F, Watson, D (2010). Linking ‘big’ personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological Bulletin 136, 768821.Google Scholar
Krueger, RF (1999). The structure of common mental disorders. Archives of General Psychiatry 56, 921926.Google Scholar
Lamers, F, van Oppen, P, Comijs, HC, Smit, JH, Spinhoven, P, van Balkom, AJLM, Nolen, WA, Zitman, FG, Beekman, ATF, Penninx, BWJH (2011). Comorbidity patterns of anxiety and depressive disorders in a large cohort study: the Netherlands Study of Depression and Anxiety. Journal of Clinical Psychiatry, 72, 341348.CrossRefGoogle Scholar
Malouff, JM, Thorsteinsson, E B, Schutte, NS (2005). The relationship between the five-factor model of personality and symptoms of clinical disorders: a meta-analysis. Journal of Psychopathology and Behavioral Assessment 27, 101114.CrossRefGoogle Scholar
Marsh, HW, Hau, KT, Wen, Z (2004). In search of golden rules: comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling 11, 320341.Google Scholar
Middeldorp, CM, Cath, DC, Van Dyck, R, Boomsma, DI (2005). The co-morbidity of anxiety and depression in the perspective of genetic epidemiology. A review of twin and family studies. Psychological Medicine 35, 611624.Google Scholar
Mineka, S, Watson, D, Clark, LA (1998). Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology 49, 377412.Google Scholar
Morris, BH, Bylsma, LM, Rottenberg, J (2009). Does emotion predict the course of major depressive disorder? A review of prospective studies. British Journal of Clinical Psychology 48, 255273.Google Scholar
Muthén, LK, Muthén, BO (1998–2010). Mplus User's Guide, 6th edn. Muthén & Muthén: Los Angeles, CA.Google Scholar
Ormel, J, Oldehinkel, AJ, Vollebergh, W (2004). Vulnerability before, during, and after a major depressive episode: a 3-wave population-based study. Archives of General Psychiatry 61, 990996.Google Scholar
Ormel, J, Riese, H, Rosmalen, JGM (2012). Interpreting neuroticism scores across the adult life course: immutable or experience-dependent set points of negative affect? Clinical Psychology Review 32, 7175.CrossRefGoogle ScholarPubMed
Ormel, J, Schaufeli, WB (1991). Stability and change in psychological distress and their relationship with self-esteem and locus of control: a dynamic equilibrium model. Journal of Personality and Social Psychology 60, 288299.Google Scholar
Penninx, BWJH, Beekman, ATF, Smit, JH, Zitman, FG, Nolen, WA, Spinhoven, P, Cuijpers, P, De Jong, PJ, Van Marwijk, HWJ, Assendelft, WJJ, Van der Meer, K, Verhaak, P, Wensing, M, De Garaaf, R, Hoogendijk, WJ, Ormel, J, Van Dyck, R; NESDA Research Consortium (2008). The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods. International Journal of Methods in Psychiatric Research 17, 121140.Google Scholar
Penninx, BWJH, Nolen, WA, Lamers, F, Zitman, FG, Smit, JH, Spinhoven, P, Cuijpers, P, de Jong, PJ, van Marwijk, HWJ, van der Meer, K, Verhaak, P, Laurant, MGH, de Graaf, R, Hoogendijk, WJ, van der Wee, N, Ormel, J, Van Dyck, R, Beekman, ATF; NESDA Research Consortium (2011). Two-year course of depressive and anxiety disorders: results from the Netherlands Study of Depression and Anxiety (NESDA). Journal of Affective Disorders 133, 7685.Google Scholar
Post, RM (1992). Transduction of psychosocial stress into the neurobiology of recurrent affective disorder. American Journal of Psychiatry 149, 9991010.Google Scholar
Quilty, LC, De Fruyt, F, Rolland, JP, Kennedy, SH, Rouillon, PF, Bagby, RM (2008 a). Dimensional personality traits and treatment outcome in patients with major depressive disorder. Journal of Affective Disorders 108, 241250.Google Scholar
Quilty, LC, Meusel, LAC, Bagby, RM (2008 b). Neuroticism as a mediator of treatment response to SSRIs in major depressive disorder. Journal of Affective Disorders 111, 6773.Google Scholar
Rush, AJ, Gullion, CM, Basco, MR, Jarrett, RB, Trivedi, MH (1996). The Inventory of Depressive Symptomatology (IDS): psychometric properties. Psychological Medicine 26, 477486.Google Scholar
Shea, MT, Leon, AC, Mueller, TI, Solomon, DA, Warshaw, MG, Keller, MB (1996). Does major depression result in lasting personality change? American Journal of Psychiatry 153, 14041410.Google Scholar
Spinhoven, P, Elzinga, BM, Hovens, JGFM, Roelofs, K, van Oppen, P, Zitman, FG, Penninx, BWJH (2011). Positive and negative life events and personality traits in predicting course of depression and anxiety. Acta Psychiatrica Scandinavica 124, 462473.Google Scholar
Tang, TZ, DeRubeis, RJ, Hollon, SD, Amsterdam, J, Shelton, R, Schalet, B (2009). Personality change during depression treatment: a placebo-controlled trial. Archives of General Psychiatry 66, 13221330.Google Scholar
Wittchen, HU (1994). Reliability and validity studies of the WHO Composite International Diagnostic Interview (CIDI): a critical review. Journal of Psychiatric Research 28, 5784.Google Scholar