Differentiating anxiety and depression : the State-Trait Anxiety-Depression Inventory

  • The differentiation of trait anxiety and depression in nonclinical and clinical populations is addressed. Following the tripartite model, it is assumed that anxiety and depression share a large portion of negative affectivity (NA), but differ with respect to bodily hyperarousal (specific to anxiety) and anhedonia (lack of positive affect; specific to depression). In contrast to the tripartite model, NA is subdivided into worry (characteristic for anxiety) and dysthymia (characteristic for depression), which leads to a four-variable model of anxiety and depression encompassing emotionality, worry, dysthymia, and anhedonia. Item-level confirmatory factor analyses and latent class cluster analysis based on a large nation-wide representative German sample (N = 3150) substantiate the construct validity of the model. Further evidence concerning convergent and discriminant validity with respect to related constructs is obtained in two smaller nonclinical and clinical samples. Factors influencing the association between componentsThe differentiation of trait anxiety and depression in nonclinical and clinical populations is addressed. Following the tripartite model, it is assumed that anxiety and depression share a large portion of negative affectivity (NA), but differ with respect to bodily hyperarousal (specific to anxiety) and anhedonia (lack of positive affect; specific to depression). In contrast to the tripartite model, NA is subdivided into worry (characteristic for anxiety) and dysthymia (characteristic for depression), which leads to a four-variable model of anxiety and depression encompassing emotionality, worry, dysthymia, and anhedonia. Item-level confirmatory factor analyses and latent class cluster analysis based on a large nation-wide representative German sample (N = 3150) substantiate the construct validity of the model. Further evidence concerning convergent and discriminant validity with respect to related constructs is obtained in two smaller nonclinical and clinical samples. Factors influencing the association between components of anxiety and depression are discussed.show moreshow less

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Metadaten
Institutes:Fakultät Humanwissenschaften / Lehrstuhl für Persönlichkeitspsychologie und Psychologische Diagnostik
Fakultät Humanwissenschaften / Professur für Pädagogische Psychologie
Author:Karl-Heinz Renner, Michael Hock, Ralf Bergner-Köther, Lothar Laux
Title of the journal / compilation (English):Cognition & emotion
Place of publication:Abingdon
Publisher:Routledge, Taylor & Francis Group
Year of publication:2016
Issue:(2016), Published online: 08 Dec 2016
Pages / Size:Online-Ressource (15 Seiten)
Keywords:Anxiety; depression; worry; tripartite model; State-Trait Anxiety-Depression Inventory
DOI:https://doi.org/10.1080/02699931.2016.1266306
ISSN:0269-9931
ISSN:1464-0600
Document Type:Article in a journal
Language:English
Peer Review:Ja
Internationale Verbreitung:Ja
Release Date:2017/03/09