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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 labeled \u201cdiscomfort,\u201d \u201cfright,\u201d \u201cnervousness,\u201d \u201clack of self-confidence,\u201d and \u201cworry.\u201d 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.<\/jats:p>","DOI":"10.1159\/000548258","type":"journal-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T16:05:24Z","timestamp":1758297924000},"page":"23-35","source":"Crossref","is-referenced-by-count":0,"title":["A Data-Driven Decomposition of Anxiety"],"prefix":"10.1159","volume":"59","author":[{"given":"Andreas","family":"Buchmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3072-706X","authenticated-orcid":false,"given":"Adrian","family":"Hase","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher 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