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Onset and temporal sequencing of lifetime anxiety, mood and substance use disorders in the general population

Published online by Cambridge University Press:  15 November 2013

T. Slade ,
P. M. McEvoy ,
C. Chapman ,
R. Grove  and
M. Teesson
T. Slade*
Affiliation:
National Drug and Alcohol Research Centre University of New South Wales, Sydney, Australia
P. M. McEvoy
Affiliation:
Centre for Clinical Interventions, School of Psychology, University of Western Australia, Perth, Australia
C. Chapman
Affiliation:
National Drug and Alcohol Research Centre University of New South Wales, Sydney, Australia
R. Grove
Affiliation:
National Drug and Alcohol Research Centre University of New South Wales, Sydney, Australia
M. Teesson
Affiliation:
National Drug and Alcohol Research Centre University of New South Wales, Sydney, Australia
*
*Address for correspondence: Dr Tim Slade, National Drug and Alcohol Research Centre, University of New South Wales, 22–32 King Street, Randwick, NSW 2032, Australia. Email: ([email protected])
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Abstract

Aims.

To date, very few studies have examined the bi-directional associations between mood disorders (MDs), anxiety disorders (ADs) and substance use disorders (SUDs), simultaneously. The aims of the current study were to determine the rates and patterns of comorbidity of the common MDs, ADs and SUDs and describe the onset and temporal sequencing of these classes of disorder, by sex.

Methods.

Data came from the 2007 Australian National Survey of Mental Health and Wellbeing, a nationally representative household survey with 8841 (60% response rate) community residents aged 16–85.

Results.

Pre-existing mental disorders increase the risk of subsequent mental disorders in males and females regardless of the class of disorder. Pre-existing SUDs increase the risk of subsequent MDs and ADs differentially for males and females. Pre-existing MDs increase the risk of subsequent ADs differentially for males and females.

Conclusions.

Comorbidity remains a significant public health issue and current findings point to the potential need for sex-specific prevention and treatment responses.

Keywords

Comorbidityanxiety disordersmood disorderssubstance use disordersgender
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 24 , Issue 1 , February 2015 , pp. 45 - 53
Copyright
Copyright © Cambridge University Press 2013 

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References

Cerda, M, Sagdeo, A, Galea, S (2008). Comorbid forms of psychopathology: key patterns and future research directions. Epidemiologic Reviews 30, 155–177.Google Scholar
Compton, WM, Thomas, YF, Stinson, FS, Grant, BF (2007). Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions. Archives of General Psychiatry 64, 566–576.Google Scholar
Coryell, W, Fiedorowicz, JG, Solomon, D, Leon, AC, Rice, JP, Keller, MB (2012). Effects of anxiety on the long-term course of depressive disorders. British Journal of Psychiatry 200, 210–215.CrossRefGoogle ScholarPubMed
de Graaf, R, Bijl, RV, Spijker, J, Beekman, AT, Vollebergh, WA (2003). Temporal sequencing of lifetime mood disorders in relation to comorbid anxiety and substance use disorders-findings from the Netherlands Mental Health Survey and Incidence Study. Social Psychiatry and Psychiatric Epidemiology 38, 1–11.CrossRefGoogle ScholarPubMed
de Graaf, R, Bijl, RV, Ten Have, M, Beekman, AT, Vollebergh, WA (2004). Pathways to comorbidity: the transition of pure mood, anxiety and substance use disorders into comorbid conditions in a longitudinal population-based study. Journal of Affective Disorders 82, 461–467.CrossRefGoogle Scholar
Falk, DE, Yi, HY, Hilton, ME (2008). Age of onset and temporal sequencing of lifetime DSM-IV alcohol use disorders relative to comorbid mood and anxiety disorders. Drug and Alcohol Dependence 94, 234–245.Google Scholar
Forbush, KT, Watson, D (2012). The structure of common and uncommon mental disorders. Psychological Medicine 43, 97–108.Google Scholar
Gilman, SE, Abraham, HD (2001). A longitudinal study of the order of onset of alcohol dependence and major depression. Drug and Alcohol Dependence 63, 277–286.Google Scholar
Glantz, MD, Anthony, JC, Berglund, PA, Degenhardt, L, Dierker, L, Kalaydjian, A, Merikangas, KR, Ruscio, AM, Swendsen, J, Kessler, RC (2009). Mental disorders as risk factors for later substance dependence: estimates of optimal prevention and treatment benefits. Psychological Medicine 39, 1365–1377.CrossRefGoogle ScholarPubMed
Hasin, DS, Stinson, FS, Ogburn, E, Grant, BF (2007). Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry 64, 830–842.Google Scholar
Helzer, JE, Pryzbeck, TR (1988). The co-occurrence of alcoholism with other psychiatric disorders in the general population and its impact on treatment. Journal of Studies on Alcohol 49, 219–224.Google Scholar
Hosmer, DW, Lemeshow, S (1989). Applied Logistic Regression. John Wiley & Sons: New York.Google Scholar
Kessler, RC, Ustun, TB (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93–121.CrossRefGoogle ScholarPubMed
Kessler, RC, Wang, PS (2008). The descriptive epidemiology of commonly occurring mental disorders in the United States. Annual Review of Public Health 29, 115–129.Google Scholar
Kessler, RC, Crum, RM, Warner, LA, Nelson, CB, Schulenberg, J, Anthony, JC (1997). Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Archives of General Psychiatry 54, 313–321.Google Scholar
Kessler, RC, Amminger, GP, Aguilar-Gaxiola, S, Alonso, J, Lee, S, Ustun, TB (2007). Age of onset of mental disorders: a review of recent literature. Current Opinion Psychiatry 20, 359–364.Google Scholar
Keyes, KM, Li, G, Hasin, DS (2011). Birth cohort effects and gender differences in alcohol epidemiology: a review and synthesis. Alcoholism, Clinical and Experimental Research 35, 2101–2112.Google Scholar
Kotov, R, Ruggero, CJ, Krueger, RF, Watson, D, Yuan, Q, Zimmerman, M (2011). New dimensions in the quantitative classification of mental illness. Archives of General Psychiatry 68, 1003–1011.Google Scholar
Lahey, BB, Applegate, B, Hakes, JK, Zald, DH, Hariri, AR, Rathouz, PJ (2012). Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology 121, 971–977.Google Scholar
Lee, JO, Kosterman, R, McCarty, CA, Hill, KG, Hawkins, JD (2012). Can patterns of alcohol use disorder in young adulthood help explain gender differences in depression? Comprehensive Psychiatry 53, 1071–1077.CrossRefGoogle ScholarPubMed
Leeies, M, Pagura, J, Sareen, J, Bolton, JM (2010). The use of alcohol and drugs to self-medicate symptoms of posttraumatic stress disorder. Depression and Anxiety 27, 731–736.Google Scholar
Liang, W, Chikritzhs, T (2011). Affective disorders, anxiety disorders and the risk of alcohol dependence and misuse. British Journal of Psychiatry 199, 219–224.Google Scholar
Martins, SS, Keyes, KM, Storr, CL, Zhu, H, Chilcoat, HD (2009). Pathways between nonmedical opioid use/dependence and psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Drug and Alcohol Dependence 103, 16–24.Google Scholar
Mathew, AR, Pettit, JW, Lewinsohn, PM, Seeley, JR, Roberts, RE (2011). Co-morbidity between major depressive disorder and anxiety disorders: shared etiology or direct causation? Psychological Medicine 41, 2023–2034.Google Scholar
McEvoy, PM, Grove, R, Slade, T (2011). Epidemiology of anxiety disorders in the Australian general population: findings of the 2007 Australian National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry 45, 957–967.Google Scholar
Merikangas, KR, Kalaydjian, A (2007). Magnitude and impact of comorbidity of mental disorders from epidemiologic surveys. Current Opinion Psychiatry 20, 353–358.Google Scholar
Moffitt, TE, Harrington, H, Caspi, A, Kim-Cohen, J, Goldberg, D, Gregory, AM, Poulton, R (2007). Depression and generalized anxiety disorder: cumulative and sequential comorbidity in a birth cohort followed prospectively to age 32 years. Archives of General Psychiatry 64, 651–660.Google Scholar
Moscato, BS, Russell, M, Zielezny, M, Bromet, E, Egri, G, Mudar, P, Marshall, JR (1997). Gender differences in the relation between depressive symptoms and alcohol problems: a longitudinal perspective. American Journal of Epidemiology 146, 966–974.Google Scholar
Pettinati, HM, Plebani, JG (2009). Depression and substance use disorders in women. In Women and Addiction: A Comprehensive Handbook (ed. Brady, KT, Back, SE and Greenfield, SF), pp. 193–208. Guilford Press: New York.Google Scholar
Rees, S, Silove, D, Chey, T, Ivancic, L, Steel, Z, Creamer, M, Teesson, M, Bryant, R, McFarlane, AC, Mills, KL, Slade, T, Carragher, N, O'Donnell, M, Forbes, D (2011). Lifetime prevalence of gender-based violence in women and the relationship with mental disorders and psychosocial function. Journal of American Medical Association 306, 513–521.Google Scholar
Robinson, J, Sareen, J, Cox, BJ, Bolton, JM (2011). Role of self-medication in the development of comorbid anxiety and substance use disorders: a longitudinal investigation. Archives of General Psychiatry 68, 800–807.Google Scholar
Simms, LJ, Prisciandaro, JJ, Krueger, RF, Goldberg, DP (2012). The structure of depression, anxiety and somatic symptoms in primary care. Psychological Medicine 42, 15–28.Google Scholar
Simon, GE, VonKorff, M (1995). Recall of psychiatric history in cross-sectional surveys: implications for epidemiologic research. Epidemiologic Reviews 17, 221–227.CrossRefGoogle ScholarPubMed
Slade, T, Johnston, A, Oakley Browne, MA, Andrews, G, Whiteford, H (2009). 2007 National Survey of Mental Health and Wellbeing: methods and key findings. Australian and New Zealand Journal of Psychiatry 43, 594–605.Google Scholar
Taylor, DC, Ounsted, C (1972). The nature of gender differences explored through ontogenetic analyses of sex ratios in disease. In Gender Differences: Their Ontogeny and Significance (ed. Ounsted, C and Taylor, DC). Churchill Livingstone: Edinburgh.Google Scholar
Teesson, M, Slade, T, Mills, K (2009). Comorbidity in Australia: findings of the 2007 National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry 43, 606–614.CrossRefGoogle ScholarPubMed
Wittchen, HU, Kessler, RC, Pfister, H, Lieb, M (2000). Why do people with anxiety disorders become depressed? A prospective-longitudinal community study. Acta Psychiatrica Scandinavica. Supplementum, 14–23.Google Scholar