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dc.contributor.authorMarco Rodríguez, Alejandra
dc.contributor.authorPazos Couselo, Marcos 
dc.contributor.authorMoreno-Fernandez, J.
dc.contributor.authorDíez-Fernández, A.
dc.contributor.authorAlonso Sampedro, Manuela
dc.contributor.authorFernández Merino, María del Carmen
dc.contributor.authorGonzález Quintela, Arturo 
dc.contributor.authorGude Sampedro, Francisco 
dc.date.accessioned2025-08-26T10:59:52Z
dc.date.available2025-08-26T10:59:52Z
dc.date.issued2022
dc.identifier.citationMarco A, Pazos-Couselo M, Moreno-Fernandez J, Díez-Fernández A, Alonso-Sampedro M, Fernández-Merino C, et al. Time above range for predicting the development of type 2 diabetes. Frontiers in Public Health. 2022;10.
dc.identifier.issn2296-2565
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/63b996de4386723d2da378a9*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20776
dc.description.abstractAim: To investigate the prognostic value of time range metrics, as measured by continuous glucose monitoring, with respect to the development of type 2 diabetes (T2D). Research design and methods: A total of 499 persons without diabetes from the general population were followed-up for 5 years. Time range metrics were measured at the start and medical records were checked over the period study. Results: Twenty-two subjects (8.3 per 1,000 person-years) developed T2D. After adjusting for age, gender, family history of diabetes, body mass index and glycated hemoglobin concentration, multivariate analysis revealed 'time above range' (TAR, i.e., with a plasma glucose concentration of >140 mg/dL) to be significantly associated with a greater risk (OR = 1.06, CI 1.01-1.11) of developing diabetes (AUC = 0.94, Brier = 0.035). Conclusions: Time above range provides additional information to that offered by glycated hemoglobin to identify patients at a higher risk of developing type 2 diabetes in a population-based study.en
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleTime above range for predicting the development of type 2 diabetes*
dc.typeArticleen
dc.authorsophosMarco, F. A.
dc.authorsophosPazos-Couselo, M.
dc.authorsophosMoreno-Fernandez, J.
dc.authorsophosDíez-Fernández, A.
dc.authorsophosAlonso-Sampedro, M.
dc.authorsophosFernández-Merino, C.
dc.authorsophosGonzalez-Quintela, A.
dc.authorsophosGude
dc.identifier.doi10.3389/fpubh.2022.1005513
dc.identifier.sophos63b996de4386723d2da378a9
dc.journal.titleFrontiers in Public Health*
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fpubh.2022.1005513/pdf;https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.1005513/pdfes
dc.rights.accessRightsopenAccess
dc.subject.keywordAS Lugoes
dc.subject.keywordHULAes
dc.subject.keywordIDISes
dc.subject.keywordAS Santiago APes
dc.subject.keywordAS Santiagoes
dc.subject.keywordCHUSes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo Originales
dc.volume.number10


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