Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/40291
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dc.contributor.authorGarcía Poblet, Marta-
dc.contributor.authorMartínez Sanz, José Miguel-
dc.contributor.authorAlberola-Chazarra, Manuel Antonio -
dc.contributor.authorSoler Climent, Esther-
dc.contributor.authorNso-Roca, Ana Pilar-
dc.contributor.authorSospedra, Isabel-
dc.contributor.otherDepartamentos de la UMH::Farmacología, Pediatría y Química Orgánicaes_ES
dc.date.accessioned2026-07-29T12:21:08Z-
dc.date.available2026-07-29T12:21:08Z-
dc.date.created2026-06-
dc.identifier.citationJournal of Endocrinological Investigation, 1-11 - June 2026es_ES
dc.identifier.issn1720-8386-
dc.identifier.issn0391-4097-
dc.identifier.urihttps://hdl.handle.net/11000/40291-
dc.description.abstractPurpose Traditional markers such as HbA1c and BMI are commonly used to assess metabolic risk in adolescents with type 1 diabetes mellitus (T1DM), but novel biomarkers like the triglyceride-glucose (TyG) index and phase angle (PA) may provide a more comprehensive evaluation of metabolic risk. However, their potential role in this population remains unclear. We aimed (1) to evaluate the association of the TyG index and PA with glycemic control, cardiovascular risk and body composition in adolescents with T1DM, and (2) to determine optimal cut-off points for these biomarkers to predict metabolic risk. Methods Seventy-three adolescents (46.6% female, 10–19 years) with T1DM from two hospitals were included in this cross-sectional study. Sociodemographic, bioelectrical impedance (BIA) and clinical data were collected during routine visits. The TyG index was calculated from fasting triglyceride and glucose levels, and PA was measured via BIA. Correlations were analyzed using Pearson or Spearman coefficients, and ROC curve analyses were used to determine optimal cut-off points. Results PA correlated positively with skeletal muscle and fat-free mass and inversely with cardiovascular risk indicators. TyG was strongly associated with adiposity, glycemic variability and cardiovascular risk markers. A preliminary TyG threshold of 8.09 was identified, while no PA cut-off could be established. Conclusions PA and the TyG index are promising, non-invasive biomarkers that complement traditional measures in assessing metabolic risk in adolescents with T1DM. Integrating these biomarkers into routine evaluation may enhance early risk detection and support holistic management in this population. Trial registration number NCT07021326.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent11es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAdolescentes_ES
dc.subjectBiomarkeres_ES
dc.subjectMetabolic riskes_ES
dc.subjectPhase anglees_ES
dc.subjectTriglyceride-glucose indexes_ES
dc.subjectType 1 diabetes mellituses_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::61 - Medicinaes_ES
dc.titlePhase angle and triglyceride-glucose index as biomarkers of glycemic control, body composition and cardiovascular risk in adolescents with type 1 diabetes: a cross-sectional study.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1007/s40618-026-02969-2es_ES
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Artículos - Farmacología, Pediatría y Química Orgánica


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