Journal
JOURNAL OF PSYCHIATRIC RESEARCH
Volume 46, Issue 10, Pages 1383-1388Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2012.07.008
Keywords
Depression; Dimensions; IDS-SR; Subscale; Old age; Somatic
Categories
Funding
- Fonds NutsOhra, Stichting tot Steun VCVGZ, NARSAD
- Brain and Behaviour Research Fund
- VU University Medical Center
- Leiden University Medical Center
- University Medical Center Groningen
- University Medical Center St Radboud
- GGZinGeest
- GGNet
- GGZ Nijmegen
- GGZ Rivierduinen
- Lends
- Parnassia
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Background: Using symptom dimensions may be more effective than using categorical subtypes when investigating clinical outcome and underlying mechanisms of late-life depression. Therefore, this study aims to identify both the factor and subscale structure of late-life depression underlying the Inventory of Depressive Symptomatology Self Report (IDS-SR) in older persons. Method: IDS-SR data of 423 participants in the Netherlands Study of Depression in Older Persons (NESDO) were analyzed by exploratory (EFA) and confirmatory factor analysis (CFA). The best-fitting factor solution in a group of older persons with a major depressive disorder diagnosis in the last month (n = 229) was replicated in a control group of older persons with no or less severe depression (n = 194). Multiple group (MG-CFA) was performed to evaluate generalizability of the best-fitting factor solution across subgroups, and internal consistency coefficients were calculated for each factor. Results: EFA and CFA show that a 3-factor model fits best to the data [comparative fit index (CFI) = 0.98; Tucker Lewis Index (TLI) = 0.99; and root mean square error of approximation (RMSEA) = 0.052], consisting of a 'mood', 'motivation' and 'somatic' factor with adequate internal consistencies (alpha coefficient 0.93, 0.83 and 0.70, respectively). MG-CFA shows a structurally similar factor model across subgroups. Conclusion: The IDS-SR can be used to measure three homogeneous symptom dimensions that are specific to older people. Application of these dimensions that may serve as subscales of the IDS-SR may benefit both clinical practice and scientific research. (C) 2012 Elsevier Ltd. All rights reserved.
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