Buchmann , Andreas Hase, Adrian Ritter, Christopher Johannes Müller, Sabrina Theresia Haynes, Melanie Huber, Sylvia Ghisleni, Carmen O’Gorman Tuura, Ruth Hasler, Gregor 2025 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. application/pdf https://folia.unifr.ch/global/documents/332775 https://folia.unifr.ch/documents/332775/files/A_Data_Driven_Decomposition_of_Anxiety_Hase.pdf eng https://karger.com/psp/article/doi/10.1159/000548258/935392/A-Data-Driven-Decomposition-of-Anxiety info:eu-repo/semantics/altIdentifier/doi/10.1159/000548258 info:eu-repo/semantics/openAccess CC BY Psychopathology. - Karger. - 2025 anxiety factor analysis fear independent component analysis substructure info:eu-repo/classification/udc/616 A Data-Driven Decomposition of Anxiety http://purl.org/coar/resource_type/c_6501