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dc.contributor.authorDelgado-Velandia, Mario
dc.contributor.authorGonzalez-Marrachelli, Vannina
dc.contributor.authorDomingo Relloso, Arce
dc.contributor.authorGalvez Fernandez, Marta
dc.contributor.authorGrau-Perez, Maria
dc.contributor.authorOlmedo, Pablo
dc.contributor.authorGalan, Iñaki
dc.contributor.authorRodriguez-Artalejo, Fernando
dc.contributor.authorAmigo, Nuria
dc.contributor.authorBriongos Figuero, Laisa Socorro
dc.contributor.authorRedon, Josep
dc.contributor.authorMartín Escudero, Juan Carlos 
dc.contributor.authorMonleon Salvado, Daniel
dc.contributor.authorTellez Plaza, Maria
dc.contributor.authorSotos-Prieto, Mercedes
dc.date.accessioned2024-01-24T18:12:52Z
dc.date.available2024-01-24T18:12:52Z
dc.date.issued2022
dc.identifier.citationInternational Journal of Behavioral Nutrition and Physical Activity, Enero 2022, vol.19 n.8, p.1-13es
dc.identifier.issn1479-5868es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/64980
dc.descriptionProducción Científicaes
dc.description.abstractBackground: The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes. Methods: A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001–2003, and were followed-up to 2015 to ascertain incident type 2 diabetes. Results: The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and − 8.23 (95% CI, − 16.34, − 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes. Conclusions: The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherBMCes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationCohort study, Healthy lifestyle, Metabolomics, Spanish population, Type 2 diabeteses
dc.titleHealthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spaines
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1186/s12966-021-01219-3es
dc.identifier.publicationissue1es
dc.identifier.publicationtitleInternational Journal of Behavioral Nutrition and Physical Activityes
dc.identifier.publicationvolume19es
dc.peerreviewedSIes
dc.description.projectThis work was supported by the Strategic Action for Research in Health sciences [PI10/0082, PI13/01848, PI14/00874, PI16/01402, PI11/00726, PI16/609, PI16/1512, PI18/287, PI19/319 and PI20/00896], the GUTMOM Project (JPI-A Healthy Diet for a Healthy Life INTIMIC-085, State Secretary of R + D + I PCIN- 2017-117), the Cátedra de Epidemiología y Control del Riesgo Cardiovascular at UAM (#820024), the State Agency for Research (PID2019-108973RB-C21 and C22), the Valencia Government (GRUPOS 03/101; PROMETEO/2009/029 and ACOMP/2013/039), the Castilla-Leon Government (GRS/279/A/08) and European Network of Excellence Ingenious Hypercare (EPSS- 037093) from the European Commission; CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN) (CIBER-02-08-2009, CB06/03 and CB12/03/30016). MSP holds a Ramón y Cajal contract (RYC-2018-025069-I) from the Ministry of Science, Innovation and Universities. MDV holds a “Predoctoral Training in Health Research” contract (FI20/00162) from the Carlos III Health Institute. MGP and ADR received the support of a fellowship from “la Caixa” Foundation (ID 100010434, fellowship codes LCF/BQ/IN18/11660001, and LCF/BQ/DR19/11740016, respectively). PO received the support of a Sara Borrell contract from the Carlos III Health Institute (reference CD16/00255). The Strategic Action for Research in Health Sciences, CIBEROBN are initiatives from Carlos III Health Institute Madrid and co-funded by the European Social Fund “The ESF - investing in your future”. The State Agency for Research and Carlos III Health Institute belong to the Spanish Ministry of Science and Innovation. The funding bodies had no role in the study design, data collection and analysis, interpretation of results, manuscript preparation or in the decision to submit this manuscript for publication.es
dc.identifier.essn1479-5868es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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