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Please use this identifier to cite or link to this item: http://hdl.handle.net/10012/3419

Title: Understanding Depressive Symptoms in Individuals with Schizophrenia: Analyses Using the Resident Assessment Instrument – Mental Health (RAI-MH)
Authors: Cheng, Julia
Keywords: schizophrenia
depressive symptoms
Approved Date: 5-Nov-2007
Date Submitted: 26-Oct-2007
Abstract: Objective: The primary aim of this study was to better understand the role of depressive and negative symptoms in patients with schizophrenia. As such, two specific research questions guide this analysis: (1) What factors are associated with depressive and negative symptoms at Time 1 across four major psychiatric diagnoses (patients with schizophrenia, mood disorder, both schizophrenia and mood disorders, and patients whose primary diagnosis is neither schizophrenia nor mood disorder)? (2) To what extent do depressive and negative symptoms improve over time among individuals with schizophrenia? More specifically, what variables predict an improvement in these symptoms? Methods: The study involved analysis of secondary data from 3269 in-patients from 15 psychiatric facilities in the Province of Ontario, Canada. Patients were assessed using the Resident Assessment Instrument – Mental Health (RAI-MH). Bivariate analyses were performed examining demographic, clinical, social, and other factors as independent variables and depressive and negative symptom scores among each of the four diagnostic groups: schizophrenia, mood disorder, both schizophrenia and mood disorder, and neither schizophrenia nor mood disorder. Logistic regression of depressive and negative symptoms, as dependent variables, were performed on demographic, psychiatric, clinical, social, and other variables, as the independent variables. Results: Variables associated with depressive and negative symptoms did not necessarily predict an improvement of depressive and negative symptoms over time. Findings from logistic regression models showed that statistically significant predictors of improvement in depressive and negative symptoms included the following variables: (1) not having a diagnosis of schizophrenia; (2) insight into one’s condition; (3) fewer number of recent psychiatric admissions (over the last two year period); and (5) being administered both atypical and typical antipsychotic medications. Conclusions: Depressive and negative symptoms are prevalent in schizophrenia and are associated with demographic, psychiatric, and social variables. Depressive and negative symptoms do not share the same pattern across diagnoses, suggesting that these symptoms represent a unique profile within each diagnostic group. Moreover, both atypical and typical antipsychotic medications, in combination, were shown to be more effective at treating depressive and negative symptoms than either typical or atypical medications alone.
Program: Health Studies and Gerontology
Department: Health Studies and Gerontology
Degree: Master of Science
URI: http://hdl.handle.net/10012/3419
Appears in Collections:Faculty of Applied Health Sciences Theses and Dissertations
Electronic Theses and Dissertations (UW)

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