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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.annepidem.2026.110064</dc:identifier><dc:language>eng</dc:language><dc:creator>Vitoratou, Dimitra-Irinna</dc:creator><dc:creator>Dimakopoulou, Konstantina</dc:creator><dc:creator>Mavrogianni, Christina</dc:creator><dc:creator>Karaglani, Eva</dc:creator><dc:creator>Argyropoulou, Matzourana</dc:creator><dc:creator>Cardon, Greet</dc:creator><dc:creator>Usheva, Natalya</dc:creator><dc:creator>Iotova, Violeta</dc:creator><dc:creator>Tankova, Tsvetalina</dc:creator><dc:creator>Giménez-Legarre, Natalia</dc:creator><dc:creator>Moreno, Luis A.</dc:creator><dc:creator>Toti, Florian</dc:creator><dc:creator>Makrilakis, Konstantinos</dc:creator><dc:creator>Doracaj, Ditila</dc:creator><dc:creator>Imre, Rurik</dc:creator><dc:creator>Torzsa, Péter</dc:creator><dc:creator>Lindström, Jaana</dc:creator><dc:creator>Panagiotakos, Demosthenes</dc:creator><dc:creator>Manios, Yannis</dc:creator><dc:title>The revised-FINDRISC: A tool for type 2 diabetes risk screening across diverse populations incorporating sociodemographic indicators</dc:title><dc:identifier>ART-2026-148654</dc:identifier><dc:description>Aim
Τo develop a revised version of the FINDRISC tailored to improve the identification of individuals at high risk for type 2 diabetes (T2D) across diverse populations.
Methods
The revised-FINDRISC was developed using pooled harmonized baseline data from the multinational Feel4Diabetes (NCT02393872; N = 3526) and DigiCare4You (NCT05648383; N = 2156) studies. Validation utilized data from the 20-year ATTICA cohort study in Greece. Original FINDRISC components were analyzed using Fisher’s Linear Discriminant Analysis followed by supervised stepwise logistic regression to identify significant T2D cross-sectional predictors. The revised-FINDRISC was developed by re-scoring or excluding original items and incorporating new predictors, generating an integer-based score to enhance usability.
Results
The revised-FINDRISC significantly improved accuracy in identifying current T2D risk over the original, with an overall AUC of 0.911(95%CI: 0.901,0.922) versus 0.832(0.815,0.846). When stratified by country economic classification, the revised score outperformed the original across all groups: LMICs: 0.881(0.864,0.898) vs. 0.815(0.793,0.837), South European-HICs: 0.891(0.867,0.916) vs. 0.839(0.811,0.869), and North European-HICs: 0.921(0.872,0.971) vs. 0.844(0.742,0.949). A clinical threshold score of 13/24 in the revised-FINDRISC offers optimal sensitivity and specificity for identifying individuals at risk of T2D.
Conclusion
Enhanced with demographic, socio-economic, and clinical factors, the revised-FINDRISC potentially represents a substantive advancement in T2D screening, supporting early detection and targeted prevention.</dc:description><dc:date>2026</dc:date><dc:source>http://zaguan.unizar.es/record/170115</dc:source><dc:doi>10.1016/j.annepidem.2026.110064</dc:doi><dc:identifier>http://zaguan.unizar.es/record/170115</dc:identifier><dc:identifier>oai:zaguan.unizar.es:170115</dc:identifier><dc:relation>info:eu-repo/grantAgreement/EC/H2020/643708/EU/Developing and implementing a community-based intervention to create a more supportive social and physical environment for lifestyle changes to prevent diabetes in vulnerable families across Europe/Feel4Diabetes</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 643708-Feel4Diabetes</dc:relation><dc:relation>info:eu-repo/grantAgreement/EC/H2020/945246 /EU/An intersectoral innovative solution involving DIGItal tools, empowering families and integrating community CARE services for the prevention and management of type 2 diabetes and hypertension/DigiCare4You</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 945246 -DigiCare4You</dc:relation><dc:identifier.citation>ANNALS OF EPIDEMIOLOGY 117 (2026), 110064 [10 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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