A Data-Driven Decomposition of Anxiety
DOKPE
- Buchmann , Andreas ORCID University of Fribourg
- Hase, Adrian ORCID University of Fribourg
- Ritter, Christopher Johannes ORCID University of Zurich
- Müller, Sabrina Theresia Grünenthal Pharma AG, 8756 Mitlödi, Switzerland
- Haynes, Melanie University of Bern
- Huber, Sylvia University Children’s Hospital Zurich
- Ghisleni, Carmen University Children’s Hospital Zurich
- O’Gorman Tuura, Ruth ORCID University Children’s Hospital Zurich
- Hasler, Gregor ORCID University of Fribourg
- 2025
Published in:
- Psychopathology. - Karger. - 2025
English
Introduction. The present paper identified key components of anxiety and fear based on a large community sample of 387 psychiatrically healthy or depressed participants.
Methods. Subfactors were defined based on a principal component analysis with promax rotation and characterized via correlations with other psychiatric as well as physiological and volumetric indicators collected in this large study.
Results. The key components were labelled “discomfort”, “fright”, “nervousness”, “lack of self-confidence”, and “worry”. We discuss the components according to their organizational complexity, but also in terms of their affective and motivational content.
Conclusion. The components may be useful for future research, as they are based on three of the most-used psychiatric questionnaires assessing anxiety and fear symptoms.
Methods. Subfactors were defined based on a principal component analysis with promax rotation and characterized via correlations with other psychiatric as well as physiological and volumetric indicators collected in this large study.
Results. The key components were labelled “discomfort”, “fright”, “nervousness”, “lack of self-confidence”, and “worry”. We discuss the components according to their organizational complexity, but also in terms of their affective and motivational content.
Conclusion. The components may be useful for future research, as they are based on three of the most-used psychiatric questionnaires assessing anxiety and fear symptoms.
- Faculty
- Faculté des sciences et de médecine
- Department
- Section de médecine
- Language
-
- English
- Classification
- Pathology, clinical medicine
- Other electronic version
- License
-
CC BY
- Open access status
- green
- Identifiers
- Persistent URL
- https://folia.unifr.ch/unifr/documents/332775
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