Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T21:45:37.811Z Has data issue: false hasContentIssue false
  • English
  • Français

Examining heterotypic continuity of psychopathology: a prospective national study

Published online by Cambridge University Press:  12 April 2017

C. Blanco ,
M. M. Wall ,
S. Wang  and
M. Olfson
C. Blanco
Affiliation:
Division of Epidemiology, Services and Prevention Research, National Institute on Drug Abuse (NIDA), Bethesda, MD, USA
M. M. Wall
Affiliation:
Department of Psychiatry, Columbia University/New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
S. Wang
Affiliation:
Department of Psychiatry, Columbia University/New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
M. Olfson*
Affiliation:
Department of Psychiatry, Columbia University/New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
*
*Address for correspondence: M. Olfson, Department of Psychiatry, Columbia University/New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA. (Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Background

Individuals with one psychiatric disorder are at increased risk for incidence and recurrence of other disorders. We characterize whether the magnitude of such heterotypic continuity varies based on whether the first disorder remits or persists over time.

Method

Cohorts were selected from participants in the National Epidemiologic Survey on Alcohol and Related Conditions wave 1 (2001–2002) and wave 2 (2004–2005) surveys with ⩾1 mood, anxiety, or substance use disorder at wave 1. Among respondents remitting (n = 6719) or not remitting (n = 3435) from ⩾1 of disorder at wave 2, the analyses compared the odds of developing new disorders.

Results

As compared with adults whose disorders persisted from wave 1 to wave 2, those with ⩾1 remission had lower odds of incidence or recurrence of another disorder. Remission from alcohol dependence [odds ratio (OR) 0.4, 95% confidence interval (CI) 0.3–0.5] and drug dependence (OR 0.4, 95% CI 0.3–0.6) were associated with the lowest odds of incidence of another disorder. Social anxiety disorder was associated with the lowest adjusted odds of recurrence (adjusted OR = 0.2, 95% CI 0.1–0.6). Remission of disorders within one class (mood, anxiety, substance use) was consistently associated with lower odds of incidence or recurrence of disorders from the same class than with developing disorders from the other classes.

Conclusions

Remission from common psychiatric disorders tends to decrease the risk for incidence or recurrence of disorders and this effect is stronger within than across disorder classes. These results do not support the concept of heterotypic continuity as a substitution of one disorder for another.

Keywords

Heterotypic continuityhomotypic continuitysymptom substitutionNESARCcourse of psychiatric disorders.
Type
Original Articles
Information
Psychological Medicine , Volume 47 , Issue 12 , September 2017 , pp. 2097 - 2106
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agosti, V, Levin, FR (2009). Does remission from alcohol and drug use disorders increase the likelihood of smoking cessation among nicotine dependent young adults? Social Psychiatry and Psychiatric Epidemiology 44, 120–124.Google Scholar
Blanco, C, Alegría, A, Liu, SL, Secades-Villa, R, Sugaya, L, Davies, C, Nunes, EV (2012). Differences among major depressive disorder with and without co-occurring substance use disorders and substance-induced mood disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry 73, 865–873.Google Scholar
Blanco, C, Krueger, RF, Hasin, DS, Liu, SM, Wang, S, Kerridge, BT, Saha, T, Olfson, M (2013). Mapping common psychiatric disorders: structure and predictive validity in the National Epidemiologic Survey on Alcohol and Related Conditions. JAMA Psychiatry 70, 199–208.Google Scholar
Blanco, C, Okuda, S, Wang, SM, Liu, G, Olfson, M (2014 a). Testing the drug substitution hypothesis: a national prospective study. JAMA Psychiatry 71, 1246–1253.Google Scholar
Blanco, C, Olfson, M, Goodwin, RD, Ogburn, E, Liebowitz, MR, Nunes, EV, Hasin, DS (2008). Generalizability of clinical trial results for major depression to community samples: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry 69, 1276–1280.Google Scholar
Blanco, C, Rubio, J, Wall, MM, Wang, S, Jiu, CJ, Kendler, KS (2014 b). Risk factors for anxiety disorders: common and specific effects in a national sample. Depression and Anxiety 31, 756–674.CrossRefGoogle ScholarPubMed
Brady, KT, Sinha, R (2005). Co-occurring mental and substance use disorders: the neurobiological effects of chronic stress. American Journal of Psychiatry 162, 1483–1493.CrossRefGoogle ScholarPubMed
Breslau, N, Peterson, E, Schultz, L, Andreski, P, Chilcoat, H (1996). Are smokers with alcohol disorders less likely to quit? American Journal of Public Health 86, 985–990.CrossRefGoogle ScholarPubMed
Canino, G, Bravo, M, Ramirez, R, Febo, VE, Rubio-Stipec, M, Fernandez, RL, Hasin, D (1999). The Spanish Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability and concordance with clinical diagnoses in a Hispanic population. Journal of Studies on Alcohol and Drugs 60, 790–799.CrossRefGoogle Scholar
Chatterji, S, Saunders, JB, Vrasti, R, Grant, BF, Hasin, D, Mager, D (1997). Reliability of the alcohol and drug modules of the Alcohol Use Disorder and Associated Disabilities Interview Schedule–Alcohol/Drug-Revised (AUDADIS-ADR): an international comparison. Drug and Alcohol Dependence 47, 171–185.CrossRefGoogle ScholarPubMed
Copeland, WE, Adair, CE, Smetanin, P, Stiff, D, Briante, C, Colman, I, Fergusson, D, Horwood, J, Poulton, R, Costello, EJ, Angold, A (2013). Diagnostic transitions from childhood to adolescence to early adulthood. Journal of Child Psychology and Psychiatry, and Allied Disciplines 7, 791–799.CrossRefGoogle Scholar
Copeland, WE, Shanahan, L, Costello, EJ, Angold, A (2009). Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Archives of General Psychiatry 66, 764–772.Google Scholar
Cuthbert, BN (2014). The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology. World Psychiatry 13, 28–35.Google Scholar
Dobson, KS (2013). The science of CBT: toward a metacognitive model of change? Behavioral Therapy 44, 224–227.Google Scholar
Grant, BF, Dawson, DA, Stinson, FS, Chou, PS, Kay, W, Pickering, R (2003). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug and Alcohol Dependence 71, 7–16.CrossRefGoogle Scholar
Grant, BF, Goldstein, RB, Chou, SP, Huang, B, Stinson, FS, Dawson, DA, Saha, TD, Smith, SM, Pulay, AJ, Pickering, RP, Ruan, WJ, Compton, WM (2009). Sociodemographic and psychopathologic predictors of first incidence of DSM-IV substance use, mood and anxiety disorders: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. Molecular Psychiatry 14, 1051–1066.Google Scholar
Grant, BF, Harford, TC, Dawson, DA, Chou, PS, Pickering, RP (1995). The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample. Drug and Alcohol Dependence 39, 37–44.Google Scholar
Hasin, D, Carpenter, KM, McCloud, S, Smith, M, Grant, BF (1997). The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a clinical sample. Drug and Alcohol Dependence 44, 133–141.CrossRefGoogle Scholar
Hasin, D, Fenton, MC, Skodol, A, Krueger, R, Keyes, K, Geier, T, Greenstein, E, Blanco, C, Grant, B (2011). Personality disorders and the 3-year course of alcohol, drug, and nicotine use disorders. Archives of General Psychiatry 68, 1158–1167.CrossRefGoogle ScholarPubMed
Hasin, DS, Grant, BF (2015). The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings. Social Psychiatry and Psychiatric Epidemiology 50, 1609–1640.CrossRefGoogle ScholarPubMed
Hien, DA, Jiang, HP, Campbell, AN, Hu, MC, Miele, GM, Cohen, LR, Brigham, GS, Capstick, C, Kulaga, A, Robinson, J, Suarez-Morales, L, Nunes, EV (2010). Do treatment improvements in PTSD severity affect substance use outcomes? A secondary analysis from a randomized clinical trial in NIDA's Clinical Trials Network. American Journal of Psychiatry 167, 95–101.CrossRefGoogle ScholarPubMed
Hodgins, DC, Elguebaly, N, Armstrong, S (1995). Prospective and retrospective reports of mood states before relapse to substance use. Journal of Consulting and Clinical Psychiatry 63, 400–407.Google Scholar
Hofmann, SG, Asmundson, GJG, Beck, AT (2013). The science of cognitive therapy. Behavioral Therapy 44, 199–212.Google Scholar
Insel, TR, Cuthbert, BN, Garvey, MA, Heinssen, RK, Pine, DS, Quinn, KJ, Sanislow, C, Wang, P (2010). Research Domain Criteria (RDoC): toward a new classification framework for research on mental disorders. American Journal of Psychiatry 167, 748–751.Google Scholar
Kendler, KS, Aggen, SH, Knudsen, GP, Roysamb, E, Neale, MC, Reichborn-Kjennerud, T (2011). The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV Axis I and all Axis II disorders. American Journal of Psychiatry 168, 29–39.Google Scholar
Kendler, KS, Prescott, CA, Myers, J, Neale, MC (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry 60, 929–937.Google Scholar
Kushner, MG, Krueger, RF, Wall, MM, Maurer, EW, Menk, JS, Menary, KR (2013). Modeling and treating internalizing psychopathology in a clinical trial: a latent variable structural equation modeling approach. Psychological Medicine 43, 1611–1623.Google Scholar
Lahey, BB, Zald, DH, Hakes, JK, Krueger, RF, Rathouz, PJ (2014). Patterns of heterotypic continuity associated with the cross-sectional correlational structure of prevalent mental disorders in adults. JAMA Psychiatry 71, 989–996.CrossRefGoogle ScholarPubMed
Lopez-Quintero, C, Perez de los Cobos, JP, Hasin, DS, Okuda, M, Wang, S, Grant, BF, Blanco, C (2011) Probability and predictors of transition from first use to dependence on nicotine, alcohol, cannabis, and cocaine: results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Drug and Alcohol Dependence 115, 120–130.CrossRefGoogle ScholarPubMed
Magidson, JF, Lejuez, CW, Liu, SM, Blanco, C (2012). Comparison of the course of substance use disorders among individuals with and without generalized anxiety disorder in a nationally representative sample. Journal of Psychiatric Research 46, 659–666.Google Scholar
Martins, S, Fenton, M, Keyes, K, Blanco, C, Zhu, H, Storr, C (2012). Mood and anxiety disorders and their association with non-medical prescription opioid use and prescription opioid-use disorder: longitudinal evidence from the National Epidemiologic Study on Alcohol and Related Conditions. Psychological Medicine 42, 1261–1272.Google Scholar
Mirnezami, R, Nicholson, J, Darzi, A (2012). Preparing for precision medicine. New England Journal of Medicine 366, 489–491.Google Scholar
National Academy of Sciences (2011). Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. National Academies Press: Washington, DC.Google Scholar
Nunes, EV, Levin, FR (2004). Treatment of depression in patients with alcohol or other drug dependence – a meta-analysis. JAMA 291, 1887–1896.CrossRefGoogle ScholarPubMed
Ormel, J, Raven, D, van Oort, F, Hartman, C, Reijneveld, S, Veenstra, R, Vollebergh, WA, Buitelaar, J, Verhulst, FC, Oldehinkel, AJ (2015). Mental health in Dutch adolescents: a TRIALS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychological Medicine 45, 345–360.Google Scholar
Peters, EN, Hughes, JR (2010). Daily marijuana users with past alcohol problems increase alcohol consumption during marijuana abstinence. Drug and Alcohol Dependence 106, 111–118.CrossRefGoogle ScholarPubMed
Research Triangle Institute (2008). Software for Survey Data Analysis (SUDAAN) Language Manual, Release 10.0. Research Triangle Institute: Research Triangle Park, NC.Google Scholar
Robinson, J, Sareen, J, Cox, BJ, Bolton, JM, Invest, L (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
Ruan, W, Goldstein, RB, Chou, SP, Smith, SM, Saha, TD, Pickering, RP, Dawson, DA, Huang, B, Stinson, FS, Grant, BF (2008). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of new psychiatric diagnostic modules and risk factors in a general population sample. Drug and Alcohol Dependence 92, 27–36.Google Scholar
Shaffer, H, LaPlante, D, Labrie, R, Kidman, R, Donator, A, Stanton, M (2004). Toward a syndrome model of addiction: multiple expressions, common etiology. Harvard Review of Psychiatry 12, 367–374.CrossRefGoogle Scholar
Sussman, S, Black, DS (2008). Substitute addiction: a concern for researchers and practitioners. Journal of Drug Education 38, 167–180.CrossRefGoogle ScholarPubMed
Tusahg, MT, Tohen, M, Jones, P. (2011) Textbook of Psychiatric Epidemiology, 3rd edn. Wiley & Sons: New York.Google Scholar
Vesga-López, O, Blanco, C, Keyes, K, Olfson, M, Grant, BF, Hasin, DS (2008). Psychiatric disorders in pregnant and postpartum women in the United States. Archives of General Psychiatry 65, 805–815.Google Scholar
Wichers, M, Maes, HH, Jacobs, N, Derom, C, Thiery, E, Kendler, KS (2012). Disentangling the causal inter-relationship between negative life events and depressive symptoms in women: a longitudinal twin study. Psychological Medicine 42, 1801–1814.Google Scholar
Supplementary material: File

Blanco supplementary material

Tables S1A-S2B

Download Blanco supplementary material(File)
File 44.4 KB