C M Gullion1, A J Rush. 1. Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, USA.
Abstract
BACKGROUND: This study has two goals: 1) to establish a generalizable model of the symptoms observed in outpatients with major depressive disorder (MDD); and 2) to compare symptom coverage of the Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C) and Self-Report (IDS-SR) to that of the Hamilton Depression Rating Scale (HDRS) and Beck Depression Inventory (BDI). METHODS: A factor analysis of IDS-C, IDS-SR, HDRS, and BDI items was carried out on 324 adult outpatients with MDD. Patients with coexisting Axis I or III illness or those taking psychotropic medication were excluded. RESULTS: Ten primary factors were identified, six of which were substantially intercorrelated, defining a second-order factor of general depression severity. Schmid-Leiman orthogonalization identified the symptoms most associated with general severity. CONCLUSIONS: The IDS provided more complete factors coverage than did the HDRS or BDI and thus may be more useful in research on symptom profiles.
BACKGROUND: This study has two goals: 1) to establish a generalizable model of the symptoms observed in outpatients with major depressive disorder (MDD); and 2) to compare symptom coverage of the Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C) and Self-Report (IDS-SR) to that of the Hamilton Depression Rating Scale (HDRS) and Beck Depression Inventory (BDI). METHODS: A factor analysis of IDS-C, IDS-SR, HDRS, and BDI items was carried out on 324 adult outpatients with MDD. Patients with coexisting Axis I or III illness or those taking psychotropic medication were excluded. RESULTS: Ten primary factors were identified, six of which were substantially intercorrelated, defining a second-order factor of general depression severity. Schmid-Leiman orthogonalization identified the symptoms most associated with general severity. CONCLUSIONS: The IDS provided more complete factors coverage than did the HDRS or BDI and thus may be more useful in research on symptom profiles.
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