Tegethoff, P. orcid.org/0000-0002-4701-4309, Perneczky, R. orcid.org/0000-0003-1981-7435, Hufnagel, A. et al. (3 more authors) (2024) Development of a short version of the German subjective cognitive decline questionnaire (SCD-Q17): a principal component analysis approach to item reduction. Current Psychology, 43 (39). pp. 31056-31067. ISSN 1046-1310
Abstract
Since it was shown that Alzheimer’s disease (AD) begins many years before the onset of symptoms with subjective cognitive decline (SCD), there has been increasing interest in the early clinical stages where disease-modifying drugs are expected to have the greatest benefit. However, at this early stage cognitive testing may yield unremarkable results, it is necessary to find a tool that can provide a simple and reliable indication of SCD as a part of a screening tool for AD in the general population. The German version of the 24-item Subjective Cognitive Decline Questionnaire (SCD-Q) with a dichotomous answer scale was tested, which then revealed some challenges. For this reason, an adaptation of the questionnaire was necessary. 360 participants completed the SCD-Q, all of whom were outpatients at a memory clinic. The most relevant subitems were identified by principal component analysis. This analysis focused on the self-perceived perspective of the decline. Results of the principal component analysis, consultations with experts and feedback from respondents were integrated into a short version of the SCD-Q with 17 items and a Likert scale – the SCD-Q17. The SCD-Q17 was sent to 100 participants of the original questionnaire for re-completion and, a new cut-off value was calculated by receiver operator characteristic (ROC) curves. The SCD-Q17 is a useful tool for the reliable detection of subjective symptoms, and thus may prompt more in-depth assessments of the underlying etiology. CogScreen has been retrospectively registered at clinical trials (NCT06191952).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2024. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Dementia; Alzheimer’s disease; Subjective cognitive decline; Principal component analysis; Methodology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Funding Information: | Funder Grant number National Institute for Health and Care Research NIHR203321 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Oct 2024 15:56 |
Last Modified: | 04 Nov 2024 09:24 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1007/s12144-024-06668-0 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218294 |