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Danger and loss events and the incidence of anxiety and depressive disorders: a prospective-longitudinal community study of adolescents and young adults

Published online by Cambridge University Press:  05 June 2014

E. Asselmann ,
H.-U. Wittchen ,
R. Lieb ,
M. Höfler  and
K. Beesdo-Baum
E. Asselmann*
Affiliation:
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Germany Behavioral Epidemiology, Technische Universität Dresden, Germany
H.-U. Wittchen
Affiliation:
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Germany Max Planck Institute of Psychiatry, Munich, Germany
R. Lieb
Affiliation:
Max Planck Institute of Psychiatry, Munich, Germany Department of Psychology, Division of Clinical Psychology and Epidemiology, University of Basel, Switzerland
M. Höfler
Affiliation:
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Germany
K. Beesdo-Baum
Affiliation:
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Germany Behavioral Epidemiology, Technische Universität Dresden, Germany
*
* Address for correspondence: E. Asselmann, Dipl.-Psych., Institute of Clinical Psychology and Psychotherapy, Behavioral Epidemiology, Technische Universität Dresden, Chemnitzer Str. 45, 01187 Dresden, Germany. (Email: [email protected])
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Abstract

Background

There are inconclusive findings regarding whether danger and loss events differentially predict the onset of anxiety and depression.

Method

A community sample of adolescents and young adults (n = 2304, age 14–24 years at baseline) was prospectively followed up in up to four assessments over 10 years. Incident anxiety and depressive disorders were assessed at each wave using the DSM-IV/M-CIDI. Life events (including danger, loss and respectively mixed events) were assessed at baseline using the Munich Event List (MEL). Logistic regressions were used to reveal associations between event types at baseline and incident disorders at follow-up.

Results

Loss events merely predicted incident ‘pure’ depression [odds ratio (OR) 2.4 per standard deviation, 95% confidence interval (CI) 1.5–3.9, p < 0.001] whereas danger events predicted incident ‘pure’ anxiety (OR 2.3, 95% CI 1.1–4.6, p = 0.023) and ‘pure’ depression (OR 2.5, 95% CI 1.7–3.5, p < 0.001). Mixed events predicted incident ‘pure’ anxiety (OR 2.9, 95% CI 1.5–5.7, p = 0.002), ‘pure’ depression (OR 2.4, 95% CI 1.6–3.4, p < 0.001) and their co-morbidity (OR 3.6, 95% CI 1.8–7.0, p < 0.001).

Conclusions

Our results provide further evidence for differential effects of danger, loss and respectively mixed events on incident anxiety, depression and their co-morbidity. Since most loss events referred to death/separation from significant others, particularly interpersonal loss appears to be highly specific in predicting depression.

Keywords

Anxietydangerdepressionepidemiologylossprospective-longitudinalpsychopathologystressful life events
Type
Original Articles
Information
Psychological Medicine , Volume 45 , Issue 1 , January 2015 , pp. 153 - 163
Copyright
Copyright © Cambridge University Press 2014 

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References

Andrews, G, Anstey, K, Brodaty, H, Issakidis, C, Luscombe, G (1999). Recall of depressive episode 25 years previously. Psychological Medicine 29, 787–791.Google Scholar
Beesdo, K, Pine, DS, Lieb, R, Wittchen, HU (2010). Incidence and risk patterns of anxiety and depressive disorders and categorization of generalized anxiety disorder. Archives of General Psychiatry 67, 47–57.Google Scholar
Brown, GW, Harris, TO (1989). Life Events and Illness. Guilford Press: New York.Google Scholar
Brown, GW, Harris, TO, Eales, MJ (1993). Etiology of anxiety and depressive disorders in an inner-city population. 2. Comorbidity and adversity. Psychological Medicine 23, 155–165.CrossRefGoogle Scholar
Cox, BJ, Clara, IP, Enns, MW (2002). Posttraumatic stress disorder and the structure of common mental disorders. Depression and Anxiety 15, 168–171.Google Scholar
Eley, TC, Stevenson, J (2000). Specific life events and chronic experiences differentially associated with depression and anxiety in young twins. Journal of Abnormal Child Psychology 28, 383–394.Google Scholar
Finlay-Jones, R, Brown, GW (1981). Types of stressful life event and the onset of anxiety and depressive disorders. Psychological Medicine 11, 803–815.Google Scholar
Friis, RH, Wittchen, HU, Pfister, H, Lieb, R (2002). Life events and changes in the course of depression in young adults. European Psychiatry 17, 241–253.Google Scholar
Gillespie, NA, Whitfield, JB, Williams, B, Heath, AC, Martin, NG (2005). The relationship between stressful life events, the serotonin transporter (5-HTTLPR) genotype and major depression. Psychological Medicine 35, 101–111.Google Scholar
Hammen, C (2011). Association between recent stressful life events and prevalence of depression, anxiety and PTSD differs according to exposure to childhood adversity. Evidence-Based Mental Health 14, 9.Google Scholar
Kendler, KS (1996). Major depression and generalised anxiety disorder – same genes, (partly) different environments – revisited. British Journal of Psychiatry 168, 68–75.CrossRefGoogle Scholar
Kendler, KS, Hettema, JM, Butera, F, Gardner, CO, Prescott, CA (2003). Life event dimensions of loss, humiliation, entrapment, and danger in the prediction of onsets of major depression and generalized anxiety. Archives of General Psychiatry 60, 789–796.Google Scholar
Kendler, KS, Karkowski, LM, Prescott, CA (1998). Stressful life events and major depression: risk period, long-term contextual threat, and diagnostic specificity. Journal of Nervous and Mental Disease 186, 661–669.Google Scholar
Kendler, KS, Karkowski, LM, Prescott, CA (1999). Causal relationship between stressful life events and the onset of major depression. American Journal of Psychiatry 156, 837–841.Google Scholar
Kessler, RC (1997). The effects of stressful life events on depression. Annual Review of Psychology 48, 191–214.CrossRefGoogle ScholarPubMed
Kessler, RC, Chiu, WT, Demler, O, Walters, EE (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617–627.Google Scholar
Kraemer, HC, Kazdin, AE, Offord, DR, Kessler, RC, Jensen, PS, Kupfer, DJ (1997). Coming to terms with the terms of risk. Archives of General Psychiatry 54, 337–343.CrossRefGoogle ScholarPubMed
Lieb, R, Isensee, B, von Sydow, K, Wittchen, HU (2000). The Early Developmental Stages of Psychopathology Study (EDSP): a methodological update. European Addiction Research 6, 170–182.Google Scholar
Maier-Diewald, W, Wittchen, HU, Hecht, H, Werner-Eilert, K (1983). The Munich Event List (MEL) – Manual [in German] . Max Planck Institute of Psychiatry: Munich.Google Scholar
Newman, SC, Bland, RC (1994). Life events and the 1-year prevalence of major depressive episode, generalized anxiety disorder, and panic disorder in a community sample. Comprehensive Psychiatry 35, 76–82.CrossRefGoogle Scholar
Reed, V, Gander, F, Pfister, H, Steiger, A, Sonntag, H, Trenkwalder, C, Sonntag, A, Hundt, W, Wittchen, HU (1998). To what degree does the Composite International Diagnostic Interview (CIDI) correctly identify DSM-IV disorders? Testing validity issues in a clinical sample. International Journal of Methods in Psychiatric Research 7, 142–155.Google Scholar
Roy, MA, Neale, MC, Pedersen, NL, Mathe, AA, Kendler, KS (1995). A twin study of generalized anxiety disorder and major depression. Psychological Medicine 25, 1037–1049.Google Scholar
Slade, T, Watson, D (2006). The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population. Psychological Medicine 36, 1593–1600.Google Scholar
StataCorp (2011). STATA Statistical Software: Release 12. Stata Corporation: College Station, TX.Google Scholar
Surtees, PG, Ingham, J (1980). Life stress and depressive outcome: application of a dissipation model to life events. Social Psychiatry 15, 21–31.Google Scholar
Wainwright, NW, Surtees, PG (2002). Time-varying exposure and the impact of stressful life events on onset of affective disorder. Statistics in Medicine 21, 2077–2091.Google Scholar
Watson, D (2005). Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology 114, 522–536.Google Scholar
WHO (1990). Composite International Diagnostic Interview (CIDI): (a) CIDI version 1.0, (b) CIDI user manual, (c) CIDI training manual, (d) CIDI computer programs. World Health Organization: Geneva.Google Scholar
Wittchen, HU, Essau, CA, Hecht, H, Teder, W, Pfister, H (1989). Reliability of life event assessments: test-retest reliability and fall-off effects of the Munich Interview for the Assessment of Life Events and Conditions. Journal of Affective Disorders 16, 77–91.Google Scholar
Wittchen, HU, Lachner, G, Wunderlich, U, Pfister, H (1998 a). Test-retest reliability of the computerized DSM-IV version of the Munich Composite International Diagnostic Interview (M-CIDI). Social Psychiatry and Psychiatric Epidemiology 33, 568–578.CrossRefGoogle ScholarPubMed
Wittchen, H-U, Lieb, R, Schuster, P, Oldehinkel, AJ (1999). When is onset? Investigations into early developmental stages of anxiety and depressive disorders. In Childhood Onset of ‘Adult’ Psychopathology: Clinical and Research Advances (ed. Rapoport, J. L.), pp. 259–302. American Psychiatric Publishing: Washington, DC.Google Scholar
Wittchen, HU, Perkonigg, A, Lachner, G, Nelson, CB (1998 b). Early Developmental Stages of Psychopathology Study (EDSP): objectives and design. European Addiction Research 4, 18–27.Google Scholar
Wittchen, HU, Pfister, H (1997). DIA-X-Interviews: Manual für Screening-Verfahren und Interview; Interviewheft Längsschnittuntersuchung (DIA-X-Lifetime); Ergänzungsheft (DIA-X-Lifetime); Interviewheft Querschnittuntersuchung (DIA-X-12 Monate); Ergänzungsheft (DIA-X-12Monate), pC-Programm zur Durchführung des Interviews (Längs- und Querschnittuntersuchung); Auswertungsprogramm. Swets & Zeitlinger: Frankfurt.Google Scholar