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27.02.2024 | Original Article

What Does ‘High Anxiety Sensitivity’ Look Like? Using Cluster Analysis to Identify Distinct Profiles of High Anxiety Sensitive Treatment-Seekers

verfasst von: Janine V. Olthuis, Emma M. Connell, Margo C. Watt, Sherry H. Stewart

Erschienen in: Cognitive Therapy and Research | Ausgabe 2/2024

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Abstract

Background/Purpose

Anxiety sensitivity (AS) is a transdiagnostic risk factor for mental health disorders. While its lower order factors – social, physical, and cognitive concerns – and their associations with emotional disorders have been examined independently of each other, research has not fully appreciated that these factors might appear to different degrees in individuals, with psychopathology implications.

Methods

We used cluster analysis to investigate how the lower order AS factors appear in treatment-seekers with high AS and how these manifestations of AS (i.e., the different clusters) are uniquely associated with psychopathology. Participants (N = 154; from two studies) were high AS treatment-seeking adults with anxiety and/or depressive disorders who completed a diagnostic interview and self-report measures of AS and anxiety and depression symptoms.

Results

A four-cluster solution emerged including a Multidimensional cluster (33.8% of the sample) and Social (28.6%), Physical (21.4%), and Cognitive (16.2%) clusters. Validation analyses revealed cross-cluster differences in age, gender, ethnicity, and psychopathology, the latter reflecting known associations between AS and mental health (e.g., depression symptoms were significantly highest in the Cognitive and Multidimensional clusters).

Conclusions

Results provide valuable insight into the heterogeneity of high AS as it appears clinically, with implications for best matching treatment approaches for this population.
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Metadaten
Titel
What Does ‘High Anxiety Sensitivity’ Look Like? Using Cluster Analysis to Identify Distinct Profiles of High Anxiety Sensitive Treatment-Seekers
verfasst von
Janine V. Olthuis
Emma M. Connell
Margo C. Watt
Sherry H. Stewart
Publikationsdatum
27.02.2024
Verlag
Springer US
Erschienen in
Cognitive Therapy and Research / Ausgabe 2/2024
Print ISSN: 0147-5916
Elektronische ISSN: 1573-2819
DOI
https://doi.org/10.1007/s10608-024-10476-y

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