Concordance between Composite International Diagnostic Interview and self-reports of depressive symptoms: a reanalysis
| Autor: | Tom Rosenström, Marko Juhani Elovainio, Markus Mikael Jokela, Sami Pirkola, Seppo Koskinen, Olavi Lindfors, Anna Liisa Keltikangas-Järvinen |
|---|---|
| Předmět: |
Adult
Male Psychiatric Status Rating Scales Depressive Disorder Major Models Statistical Databases Factual Original Articles Middle Aged behavioral disciplines and activities Diagnostic and Statistical Manual of Mental Disorders Surveys and Questionnaires mental disorders Interview Psychological Humans Female Self Report Finland Aged |
| Zdroj: | University of Helsinki |
| Popis: | Concordance between sum scores of self‐reported depressive symptoms and structured interview diagnoses has been studied extensively, but are these the best attainable self‐report‐based predictions for interview diagnoses? We maximized the cross‐validated concordance between World Health Organization's Composite International Diagnostic Interview (CIDI) diagnosis and Beck's Depression Inventory (BDI), and General Health Questionnaire (GHQ), from the viewpoint of exploratory statistics, re‐analysing Health 2000 general‐population sample of adults over 30 years in mainland Finland (N = 5200–5435). BDI sum‐score prediction of CIDI diagnosis could be superseded by using (1) weighted sums of items, (2) classification trees constructed from items, or (3) a single item. Best solution (2) yielded cross‐validated Youden's Index 0.757 [standard error (SE) = 0.001, sensitivity = 0.907, specificity = 0.851], improving the concordance to 1.07‐fold (1.18‐fold for 12‐month diagnosis). A single‐item solution was best for the GHQ. All positive predictive values remained low (0.09–0.31). Thus, CIDI‐to‐questionnaire concordance can be improved by using all information in the questionnaires instead of just sum scores, but latent‐trait theory for questionnaires is incompatible with interview diagnoses (single item achieved better concordance than summing all). Self‐reports have low predictive value for CIDI diagnoses in the general population, but better in settings with higher major depressive disorder (MDD) base rates. Copyright © 2015 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|