Using a hybrid subtyping model to capture patterns and dimensionality of depressive and anxiety symptomatology in the general population
Background: Researchers have tried to identify more homogeneous subtypes of major depressive disorder (MDD) with latent class analyses (LCA). However, this approach does no justice to the dimensional nature of psychopathology. In addition, anxiety and functioning-levels have seldom been integrated in subtyping efforts. Therefore, this study used a hybrid discrete-dimensional approach to identify subgroups with shared patterns of depressive and anxiety symptomatology, while accounting for functioning-levels. Methods: The Comprehensive International Diagnostic Interview (CIDI) 1.1 was used to as... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2017 |
Reihe/Periodikum: | Wardenaar , K J , Wanders , R B K , ten Have , M , de Graaf , R & de Jonge , P 2017 , ' Using a hybrid subtyping model to capture patterns and dimensionality of depressive and anxiety symptomatology in the general population ' , Journal of Affective Disorders , vol. 215 , pp. 125-134 . https://doi.org/10.1016/j.jad.2017.03.038 |
Schlagwörter: | Depression / Anxiety / Heterogeneity / Subtypes / Latent class analysis / Mixed measurement item response theory / LATENT-CLASS ANALYSIS / ITEM RESPONSE THEORY / FACTOR MIXTURE ANALYSIS / MENTAL-HEALTH SURVEY / MAJOR DEPRESSION / LARGE COHORT / DISORDER / IDENTIFICATION / NETHERLANDS |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26826193 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/11370/ad9c7bfd-7ceb-47a8-8dbf-2de9fd098ec6 |