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Multicenter Study
. 2013 Nov 30;210(1):16-20.
doi: 10.1016/j.psychres.2013.05.013. Epub 2013 May 30.

Psychiatric comorbidity among adults with schizophrenia: a latent class analysis

Jack Tsai  1 , Robert A Rosenheck
Affiliations
Multicenter Study

Psychiatric comorbidity among adults with schizophrenia: a latent class analysis

Jack Tsai et al. Psychiatry Res. .

Abstract

Schizophrenia is a severe mental illness that often co-occurs with and can be exacerbated by other psychiatric conditions. There have not been adequate efforts to examine schizophrenia and psychiatric comorbidity beyond pairwise examination using clusters of diagnoses. This study used latent class analysis to characterize patterns of 5-year psychiatric comorbidity among a national sample of adults with schizophrenia. Baseline data from 1446 adults with schizophrenia across 57 sites in the United States were analyzed. Three latent classes were identified labeled Solely Schizophrenia, Comorbid Anxiety and Depressive Disorders with Schizophrenia, and Comorbid Addiction and Schizophrenia. Adults in the Solely Schizophrenia class had significantly better mental health than those in the two comorbid classes, but poorer illness and treatment insight than those with comorbid anxiety and depressive disorders. These results suggest that addiction and schizophrenia may represent a separate latent profile from depression, anxiety, and schizophrenia. More research is needed on how treatment can take advantage of the greater insight possessed by those with schizophrenia and comorbid anxiety and depression.

Keywords: Anxiety; Classification; Depression; Diagnosis; Methods; Substance-related disorders.

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Figures

Figure 1
Figure 1. Three classes of comorbid diagnoses among adults with schizophrenia
Note: MDD= Major Depressive Disorder, OCD= Obsessive Compulsive Disorder; Class 1= Solely Schizophrenia, Class 2= Comorbid Anxiety and Depressive Disorders with Schizophrenia, Class 3- Comorbid Addiction and Schizophrenia
See this image and copyright information in PMC

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