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dc.creatorGalarregui-Miquelarena, C. (Cristina)-
dc.creatorZulet, M.A. (María Ángeles)-
dc.creatorCantero-González, I. (Irene)-
dc.creatorMarin-Alejandre, B.A. (Bertha Araceli)-
dc.creatorMonreal, J.I. (José Ignacio)-
dc.creatorElorz, M. (Mariana)-
dc.creatorBenito-Boíllos, A. (Alberto)-
dc.creatorHerrero, J.I. (José Ignacio)-
dc.creatorTur, J.A. (Josep A.)-
dc.creatorAbete, I. (Itziar)-
dc.creatorMartinez, J.A. (José Alfredo)-
dc.date.accessioned2022-10-19T10:43:42Z-
dc.date.available2022-10-19T10:43:42Z-
dc.date.issued2018-
dc.identifier.citationGalarregui-Miquelarena, C. (Cristina); Zulet, M.A. (María Ángeles); Cantero-González, I. (Irene); et al. "Interplay of glycemic index, glycemic load, and dietary antioxidant capacity with insulin resistance in subjects with a cardiometabolic risk profile". INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 19 (11), 2018, 3662es_ES
dc.identifier.issn1422-0067-
dc.identifier.urihttps://hdl.handle.net/10171/64520-
dc.description.abstractBackground: Dietary total antioxidant capacity (TAC), glycemic index (GI), and glycemic load (GL) are accepted indicators of diet quality, which have an effect on diet–disease relationships. The aim of this study was to evaluate potential associations of dietary TAC, GI, and GL with variables related to nutritive status and insulin resistance (IR) risk in cardiometabolic subjects. Methods: A total of 112 overweight or obese adults (age: 50.8 ± 9 years old) were included in the trial. Dietary intake was assessed by a validated 137-item food frequency questionnaire (FFQ), which was also used to calculate the dietary TAC, GI, and GL. Anthropometrics, blood pressure, body composition by dual-energy X-ray absorptiometry (DXA), glycemic and lipid profiles, C-reactive protein (CRP), as well as fatty liver quantification by magnetic resonance imaging (MRI) were assessed. Results: Subjects with higher values of TAC had significantly lower circulating insulin concentration and homeostatic model assessment of insulin resistance (HOMA-IR). Participants with higher values of HOMA-IR showed significantly higher GI and GL. Correlation analyses showed relevant inverse associations of GI and GL with TAC. A regression model evidenced a relationship of HOMA-IR with TAC, GI, and GL. Conclusion: This data reinforces the concept that dietary TAC, GI, and GL are potential markers of diet quality, which have an impact on the susceptible population with a cardiometabolic risk profile.es_ES
dc.description.sponsorshipThis research was funded by the Health Department of the Government of Navarra (61/2015), CIBERobn (Physiopathology of Obesity and Nutrition), and Fundació La Marató de TV3 (201630.10). C.G. was partially supported by fellowships from Congelados de Navarra, Government of Navarra, and Ministerio de Educación, Cultura y Deporte (FPU17/06330).es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectAntioxidantses_ES
dc.subjectGlucosees_ES
dc.subjectDietes_ES
dc.subjectDiabeteses_ES
dc.subjectPrecision Nutritiones_ES
dc.titleInterplay of glycemic index, glycemic load, and dietary antioxidant capacity with insulin resistance in subjects with a cardiometabolic risk profilees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.identifier.doi10.3390/ijms19113662-
dadun.citation.number11es_ES
dadun.citation.publicationNameINTERNATIONAL JOURNAL OF MOLECULAR SCIENCESes_ES
dadun.citation.startingPage3662es_ES
dadun.citation.volume19es_ES

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