The subscale structure of the Inventory of Depressive Symptomatology Self Report (IDS-SR) in older persons
| Autor: | Hannie C. Comijs, R.C. van der Mast, Klaas J. Wardenaar, Rob M. Kok, Johanna M Hegeman, M.W.M. de Waal |
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| Přispěvatelé: | Psychiatry, EMGO - Mental health |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Male
medicine.medical_specialty Old age Dimensions Structural equation modeling Depressive symptomatology medicine Humans Generalizability theory Subscale Somatic Psychiatry Self report Categorical variable Biological Psychiatry Depression (differential diagnoses) Aged Netherlands Aged 80 and over Psychiatric Status Rating Scales Depressive Disorder Depression Middle Aged medicine.disease Confirmatory factor analysis IDS-SR Psychiatry and Mental health Geriatrics Major depressive disorder Female Self Report Factor Analysis Statistical Psychology Clinical psychology |
| Zdroj: | Journal of Psychiatric Research, 46(10), 1383-1388. Elsevier Limited Hegeman, J M, Wardenaar, K J, Comijs, H C, de Waal, M W M, Kok, R M & van der Mast, R C 2012, ' The subscale structure of the Inventory of Depressive Symptomatology Self Report (IDS-SR) in older persons ', Journal of Psychiatric Research, vol. 46, no. 10, pp. 1383-1388 . https://doi.org/10.1016/j.jpsychires.2012.07.008 |
| ISSN: | 0022-3956 |
| DOI: | 10.1016/j.jpsychires.2012.07.008 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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