Search results for "Insulin-dependent diabetes"

showing 7 items of 7 documents

Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A c…

2017

Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/ obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS tri…

MalesueñoSíndrome metabòlicaSedentarisme (Medicina)EtiologyPhysiologyCross-sectional studyEpidemiologyhumanosSistema cardiovascular -- Malaltieslcsh:Medicineejercicio físicoBlood PressureType 2 diabetesWalkingCardiovascular Medicine030204 cardiovascular system & hematologyOverweightBiochemistryVascular MedicineDiabetis no-insulinodependentHàbits sanitaris0302 clinical medicineRisk FactorsEstà en blancMedicine and Health SciencesOdds RatioPrevalenceNon-insulin-dependent diabetesBiomechanicsPublic and Occupational Health030212 general & internal medicinelcsh:Sciencemediana edadAbdominal obesityMetabolic SyndromeBioquímica y tecnologíaancianoMultidisciplinaryFactors de risc en les malaltiesprevalenciaMiddle Agedcociente de probabilidades relativas1932-62033. Good healthBiochemistry and technologyPhysiological ParametersCardiovascular DiseasesEtiologiadiabetes mellitusHypertensionFemalemedicine.symptomResearch Articlemedicine.medical_specialtyRisk factors in diseasesenfermedades cardiovascularesExerciciBioenergeticsBioquímica i biotecnologia03 medical and health sciencesmedicinefactores de riesgoHumansObesityEpidemiologiaHealth behaviorExerciseAgedBehaviorBiological Locomotionbusiness.industryPhysical activityBody Weightlcsh:RBiology and Life SciencesPhysical ActivityOdds ratiomedicine.diseaseObesitySonSistema cardiovascular -- Malalties -- Factors de riscCross-Sectional StudiesDiabetes Mellitus Type 2SpainRelative riskPhysical therapylcsh:QSon -- Aspectes fisiològicsMetabolic syndromeSedentary BehaviorPhysiological ProcessesbusinessSleepBiomarkersestudios transversalesDemography
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Chronological Age Interacts with the Circadian Melatonin Receptor 1B Gene Variation, Determining Fasting Glucose Concentrations in Mediterranean Popu…

2020

Gene-age interactions have not been systematically investigated on metabolic phenotypes and this modulation will be key for a better understanding of the temporal regulation in nutrigenomics. Taking into account that aging is typically associated with both impairment of the circadian system and a decrease in melatonin secretion, we focused on the melatonin receptor 1B (MTNR1B)-rs10830963 C&gt

Blood GlucoseMale0301 basic medicinePhysiologyType 2 diabetestype-2 diabetesDiabetis no-insulinodependentMediterranean population0302 clinical medicineRisk FactorsPolymorphism (computer science)MedicineNon-insulin-dependent diabetesmelatonin receptorAged 80 and overeducation.field_of_studyNutrition and DieteticsMediterranean RegionAge FactorsDiabetis en l'embaràsFastingMiddle AgedGestational diabetesMTNR1B polymorphismCohortFemalepregnancywomengestational diabeteslcsh:Nutrition. Foods and food supplyage-interactionhormones hormone substitutes and hormone antagonistsAdultDiabetes riskAdolescentPopulationlcsh:TX341-641030209 endocrinology & metabolismPolymorphism Single NucleotideRisk AssessmentArticleYoung Adult03 medical and health sciencesDiabetes mellitusHumanseducationAgedRetrospective StudiesReceptor Melatonin MT2business.industrymedicine.diseaseCross-Sectional Studies030104 developmental biologyDiabetes Mellitus Type 2Melatonin receptor 1BSpainheterogeneitybusinessDiabetes in pregnancyfasting glucoseFood ScienceNutrients
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Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome.

2019

The authors especially thank the PREDIMED-Plus participants for their enthusiastic collaboration, the PREDIMED-Plus personnel for their outstanding support, and the personnel of all associated primary care centers for their exceptional effort. Centros de Investigación Biomédica en Red: Obesidad y Nutrición (CIBEROBN), Centros de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP) and Centros de Investigación Biomédica en Red: Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM) are initiatives of Instituto de Salud Carlos III (ISCIII), Madrid, Spain. We thank the PREDIMED-Plus Biobank Network, part of the National Biobank Platform of ISCIII for storing and managing …

Síndrome metabòlicaWaistlcsh:MedicineDietética y nutrición030209 endocrinology & metabolismbody mass indexType 2 diabetesOverweightArticleDiabetis no-insulinodependent03 medical and health sciencesnap0302 clinical medicinemental disordersEndocrinologíaMedicineNon-insulin-dependent diabetes2. Zero hungerbusiness.industrylcsh:Rfunginutritional and metabolic diseasesActigraphyPREDIMED-Plus studyPREDIMED-PlusGeneral Medicinemedicine.diseasewaist circumferenceObesityMetabolic syndrome3. Good healthNapPREDIMED-Plus actigraphy body mass index nap type 2 diabetes waist circumferencetype 2 diabetesmedicine.symptomMetabolic syndromebusinessBody mass indexhuman activities030217 neurology & neurosurgerypsychological phenomena and processesDemographyactigraphy
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Non-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants

2019

Aim. - To characterize the urinary metabolomic fingerprint and multi-metabolite signature associated with type 2 diabetes (T2D), and to classify the population into metabotypes related to T2D. Methods. - A metabolomics analysis using the 1 H-NMR-based, non-targeted metabolomic approach was conducted to determine the urinary metabolomic fingerprint of T2D compared with non-T2D participants in the PREDIMED trial. The discriminant metabolite fingerprint was subjected to logistic regression analysis and ROC analyses to establish and to assess the multi-metabolite signature of T2D prevalence, respectively. Metabotypes associated with T2D were identified using the k-means algorithm. Results. - A …

Male0301 basic medicineOncologyNon targetedendocrine system diseasesCross-sectional studyEndocrinology Diabetes and MetabolismType 2 diabetesDiet MediterraneanLogistic regressionDiabetis no-insulinodependentEndocrinologyRisk FactorsNon-insulin-dependent diabetesDietoteràpiaeducation.field_of_studyFactors de risc en les malaltiesBiochemical markersGeneral MedicineMiddle AgedMetabolismeMetabolòmicaCardiovascular DiseasesMarcadors bioquímicsMetabolomeFemalemedicine.medical_specialtyRisk factors in diseasesPopulationUrinalysis03 medical and health sciencesMedicina preventivaMetabolomicsInternal medicineInternal MedicinemedicineHumansMetabolomicseducationAgedPreventive medicineReceiver operating characteristicbusiness.industryDiet therapynutritional and metabolic diseasesmedicine.diseasePredimedMetabolismCross-Sectional Studies030104 developmental biologyDiabetes Mellitus Type 2businesshuman activitiesBiomarkersDiabetic AngiopathiesDiabetes & Metabolism
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Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus

2020

We aimed to explore the differences in the whole transcriptome of peripheral blood mononuclear cells between elderly individuals with and without type 2 diabetes (T2D). We conducted a microarray-based transcriptome analysis of 19 individuals with T2D and 15 without. Differentially expressed genes according to linear models were submitted to the Ingenuity Pathway Analysis system to conduct a functional enrichment analysis. We established that diseases, biological functions, and canonical signaling pathways were significantly associated with T2D patients when their logarithms of Benjamini&ndash

endocrine system diseasesMicroarrayIntegrinT cellslcsh:Medicine030209 endocrinology & metabolismInflammationPeripheral blood mononuclear cellArticleDiabetis no-insulinodependentTranscriptome03 medical and health scienceschemistry.chemical_compound0302 clinical medicineDownregulation and upregulationmedicinecancerNon-insulin-dependent diabetesCàncer030304 developmental biologyCancer0303 health sciencesbiologybusiness.industrylcsh:Rnutritional and metabolic diseasesGeneral Medicinesignaling pathwayschemistryCèl·lules TGuanosine diphosphateCancer researchbiology.proteintype 2 diabetesmedicine.symptomSignal transductionbusinesstranscriptomemicroarray
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Metabolites related to purine catabolism and risk of type 2 diabetes incidence; modifying effects of the TCF7L2-rs7903146 polymorphism

2019

Studies examining associations between purine metabolites and type 2 diabetes (T2D) are limited. We prospectively examined associations between plasma levels of purine metabolites with T2D risk and the modifying effects of transcription factor-7-like-2 (TCF7L2) rs7903146 polymorphism on these associations. This is a case-cohort design study within the PREDIMED study, with 251 incident T2D cases and a random sample of 694 participants (641 non-cases and 53 overlapping cases) without T2D at baseline (median follow-up: 3.8 years). Metabolites were semi-quantitatively profiled with LC-MS/MS. Cox regression analysis revealed that high plasma allantoin levels, including allantoin-to-uric acid rat…

0301 basic medicinePurineMalePolymorphism (Crystallography)endocrine system diseaseslcsh:MedicineType 2 diabetesDiabetis no-insulinodependentchemistry.chemical_compound0302 clinical medicineBlood plasmaMetabolitesNon-insulin-dependent diabetesProspective Studieslcsh:ScienceMultidisciplinaryDiabetisIncidencePrognosisMetabòlits3. Good healthMetabolomeFemaleTranscription Factor 7-Like 2 Proteinmedicine.drugmedicine.medical_specialtyendocrine systemPolymorphism Single NucleotideArticle03 medical and health sciencesAllantoin:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Diabetes mellitusInternal medicinemedicineHumansGenetic Predisposition to DiseaseInosineAgedbusiness.industrylcsh:Rnutritional and metabolic diseasesPolimorfisme (Cristal·lografia)Xanthinemedicine.disease030104 developmental biologyEndocrinologychemistryDiabetes Mellitus Type 2PurinesSpainCase-Control Studieslcsh:QbusinessTCF7L2030217 neurology & neurosurgeryBiomarkersFollow-Up Studies
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Self-concept and adaptation to illness in pediatric diabetic patients

2014

Nuestro objetivo es estudiar el autoconcepto y la adaptación a la enfermedad en pacientes pediátricos diabéticos. Como instrumentos de evaluación se utilizaron el registro ad-hoc para las variables sociodemográficas y de enfermedad, el cuestionario de Autoconcepto Garley (CAG) y cuestionario de respuesta adaptativa a la enfermedad en pacientes diabéticos. La muestra constó de 23 sujetos evaluados en un único momento de medida, todos ellos niños y adolescentes entre 8 y 16 años de edad. Los resultados muestran cómo aproximadamente el 50% de niños y adolescentes con diabetes tipo I presentan un autoconcepto bajo en la mayoría de las dimensiones estudiadas, destacando cómo cerca del 30% de los…

Diabetes mellitus insulinodependienteAutoconceptoAdaptaciónSelf-conceptDiseaseAdaptationInsulin-dependent diabetesEnfermedad
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