0000000000780744

AUTHOR

Jadwiga Konieczna

showing 18 related works from this author

Vitamin K dietary intake is associated with cognitive function in an older adult Mediterranean population.

2022

Abstract Background In the last years, evidence that dietary vitamin K could have a role in the cognitive domain has increased. However, data from large trials are limited. The objective of this study was to assess the association of 2 year changes in the dietary intake of vitamin K with cognitive function measured through neuropsychological performance tests. Methods In 5,533 participants of the multicentre PREDIMED-Plus study (48.1% women, age 65.1 ± 4.9 years with overweight/obesity and metabolic syndrome), we assessed the adjusted odds ratios of cognitive function decline according to 2 year changes in vitamin K intake. Participants answered a battery of cognitive function tests and Foo…

MaleAgingVitamin Kcognitive-neuropsychological testsNutritional StatusGeneral MedicineMiddle AgedNeuropsychological Testsolder peopleEatingphylloquinoneCognitionHumansFemaleGeriatrics and Gerontologycognitive impairmentAgedAge and ageing
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Longitudinal association of changes in diet with changes in body weight and waist circumference in subjects at high cardiovascular risk: the PREDIMED…

2019

Background Consumption of certain foods is associated with long-term weight gains and abdominal fat accumulation in healthy, middle-aged and young, non-obese participants. Whether the same foods might be associated with changes in adiposity in elderly population at high cardiovascular risk is less known. Objective Using yearly repeated measurements of both food habits and adiposity parameters, we aimed to investigate how changes in the consumption of specific foods were associated with concurrent changes in weight or waist circumference (WC) in the PREDIMED trial. Design We followed-up 7009 participants aged 55-70 years at high cardiovascular risk for a median time of 4.8 years. A validated…

MaleLongitudinal study030309 nutrition & dieteticshumanosMedicine (miscellaneous)law.invention0302 clinical medicineRandomized controlled trialRisk FactorslawMedicineSalutLongitudinal Studiesrepeated-measures dataThe PREDIMED triallcsh:RC620-627mediana edad2. Zero hungeranciano0303 health sciencesNutrition and Dieteticsdietalcsh:Public aspects of medicinedigestive oral and skin physiologyfood and beveragesMiddle Aged16. Peace & justiceCircumference3. Good healthlcsh:Nutritional diseases. Deficiency diseasesHealthRepeated-measures dataCardiovascular DiseasesRed meatWaist circumferenceFemaleLongitudinal studyWaistenfermedades cardiovasculares030209 endocrinology & metabolismPhysical Therapy Sports Therapy and RehabilitationClinical nutrition03 medical and health sciencesMediterranean cookingAnimal science:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Cuina mediterràniafactores de riesgoAnimalsHumansRefined grainsNutricióNutritionAgedLongitudinal study repeated-measures dataconducta alimentariaperímetro abdominalbusiness.industryResearchDietary intakepeso corporallcsh:RA1-1270Feeding BehaviorBody weightPredimedDietanimalesestudios longitudinalesbusinessInternational Journal of Behavioral Nutrition and Physical Activity
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Total and Subtypes of Dietary Fat Intake and its Association with Components of the Metabolic Syndrome in a Mediterranean Population at High Cardiova…

2019

Background: The effect of dietary fat intake on the metabolic syndrome (MetS) and in turn on cardiovascular disease (CVD) remains unclear in individuals at high CVD risk. Objective: To assess the association between fat intake and MetS components in an adult Mediterranean population at high CVD risk. Design: Baseline assessment of nutritional adequacy in participants (n = 6560, men and women, 55&ndash

Blood GlucoseMaleMediterranean diethumanosPhysiologyÀcids grassos030204 cardiovascular system & hematologyOverweightDiet Mediterraneanchemistry.chemical_compound0302 clinical medicineRisk Factorsevaluación de riesgosMedicine030212 general & internal medicinemediana edadlípidos2. Zero hungerchemistry.chemical_classificationMetabolic Syndromeeducation.field_of_studyancianoNutrition and Dieteticsdietaresultado del tratamientofood and beveragesMiddle AgedLipidscardiovascular disease risk3. Good healthfat intakeTreatment OutcomeCardiovascular Diseasesdietary fatObesitatFemalemedicine.symptomlcsh:Nutrition. Foods and food supplyPolyunsaturated fatty acidglucosa sanguíneaMediterranean diet cardiovascular disease risk dietary fat fat intake fatty acidsLinoleic acidPopulationdislipidemiasenfermedades cardiovasculareslcsh:TX341-641Risk Assessmentfatty acidsArticle03 medical and health sciencesgrasas dietéticasMediterranean cooking:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Mediterranean dietCuina mediterràniafactores de riesgoHumansObesitycardiovascular diseaseseducationhiperglucemiaAgedDyslipidemiasbusiness.industryMalalties cardiovascularsHypertriglyceridemiamedicine.diseaseObesityDietary FatsDietCross-Sectional StudieschemistrySpainHyperglycemiaMetabolic syndromebusinessBiomarkersFood Scienceestudios transversalesNutrients
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Glycemic Dysregulations Are Associated With Worsening Cognitive Function in Older Participants at High Risk of Cardiovascular Disease: Two-Year Follo…

2021

The authors wish to thank the PREDIMED-Plus participants and staff for their engagement, as well as to the primary care centers involved in the study. We also thank the Cerca Programme of the Generalitat de Catalunya, and the CIBEROBN, CIBERESP and CIBERDEM initiatives of Instituto de Salud Carlos III in Spain, and the collaborators in the PRIME consortium for helpful input. The first version of the present article has been published in the public repository Research Square as a preprint publication of our work (44). We particularly thank Stephanie Nishi for her assistance with manuscript language revision.

Malemedicine.medical_specialtyCognition disordersEndocrinology Diabetes and Metabolism030209 endocrinology & metabolismGlycemic ControlprediabetesType 2 diabetesdiabetes durationTrastorns de la cognicióDiseases of the endocrine glands. Clinical endocrinology03 medical and health scienceschemistry.chemical_compoundCognitionEndocrinology0302 clinical medicineInsulin resistanceinsulin resistanceDiabetes mellitusInternal medicinemedicineHumansHypoglycemic AgentsCognitive DysfunctionProspective StudiesPrediabetesglycated (glycosylated) hemoglobinCognitive declinecognitive functionAgedGlucose Metabolism DisordersOriginal ResearchGlycemicDiabetisbusiness.industryMalalties cardiovascularsDiabetesMiddle AgedRC648-665medicine.disease3. Good healthCardiovascular diseaseschemistryFemaletype 2 diabetesGlycated hemoglobinMetabolic syndromebusiness030217 neurology & neurosurgery
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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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Mediterranean, DASH, and MIND dietary patterns and cognitive function: The 2-year longitudinal changes in an older Spanish cohort

2021

Wu, L., and Sun, D. (2017). Adherence to Mediterranean diet and risk of developing cognitive disorders: an updated systematic review and meta-analysis of prospective cohort studies. Sci. Rep. 7:41317. doi: 10.1038/srep41317 Wu, Z., Phyo, A. Z. Z., Al-harbi, T., Woods, R. L., and Ryan, J. (2020). Distinct cognitive trajectories in late life and associated predictors and outcomes: a systematic review. J. Alzheimer’s Dis. Rep. 4, 459–478. doi: 10.3233/ADR-200232 Conflict of Interest: SKN was a volunteer member of the not-for profit group Plant Based Canada. JS-S reported receiving research support from the Instituto de Salud Carlos III, Ministerio de Educación y Ciencia, Departament de Salut P…

cognitionMediterranean diet (MedDiet)AgingDietèticaFood habitsCognitive NeuroscienceNeurociència cognitivaDietary patternNeurosciences. Biological psychiatry. NeuropsychiatryDieta mediterràniaPersones grans03 medical and health sciencesCognició en les persones grans0302 clinical medicineCognitionOlder people nutritionDASH diet030212 general & internal medicineOriginal Research2. Zero hungerHàbits alimentarisCognitive neuroscienceAlimentació de les persones gransDietCognicióDietaMIND dietdietary pattern030217 neurology & neurosurgeryRC321-571Neuroscience
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Dietary Diversity and Nutritional Adequacy among an Older Spanish Population with Metabolic Syndrome in the PREDIMED-Plus Study: A Cross-Sectional An…

2019

Dietary guidelines emphasize the importance of a varied diet to provide an adequate nutrient intake. However, an older age is often associated with consumption of monotonous diets that can be nutritionally inadequate, increasing the risk for the development or progression of diet-related chronic diseases, such as metabolic syndrome (MetS). To assess the association between dietary diversity (DD) and nutrient intake adequacy and to identify demographic variables associated with DD, we cross-sectionally analyzed baseline data from the PREDIMED-Plus trial: 6587 Spanish adults aged 55&ndash

0301 basic medicineMaleSíndrome metabòlicamodelos logísticosCross-sectional studydietary diversityhumanosOverweightRecommended Dietary AllowancesFood groupencuestas sobre dietas0302 clinical medicineMedicinemediana edad2. Zero hungereducation.field_of_studyancianoNutrition and DieteticsdietaPREDIMED-Plus studyMiddle Aged3. Good healthestado nutricionalnutritionQuartileAvaluació de l'estat nutricionalDietary Reference IntakeDietaFemalemedicine.symptomNutritional status measurementcantidad dietética recomendadalcsh:Nutrition. Foods and food supplynutrient adequacyPopulationNutritional Status030209 endocrinology & metabolismlcsh:TX341-641Diet SurveysArticlemetabolic syndrome03 medical and health sciencesPremides-plus studyEnvironmental healthPREDIMED-Plus study aging dietary diversity metabolic syndrome nutrient adequacyHumansObesityanálisis multifactorialeducationobesidadAged030109 nutrition & dieteticsbusiness.industryagingOdds ratiomedicine.diseaseObesityDietCross-Sectional StudiesLogistic ModelsMultivariate AnalysisbusinessFood Scienceestudios transversales
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Psychological and metabolic risk factors in older adults with a previous history of eating disorder: A cross-sectional study from the Predimed-Plus s…

2021

Goals To explore affective and cognitive status, later in life, in individuals with and without previous history of eating disorder (ED), and also its association with higher risk for metabolic syndrome (MetS) symptomatology. Methods A cross-sectional analysis of 6756 adults, aged 55-75 years with overweight/obesity and MetS participating in the Predimed-Plus study was conducted. Participants completed self-reported questionnaires to examine lifetime history of ED, according to DSM-5 criteria, and other psychopathological and neurocognitive factors. Anthropometric and metabolic measurements were also collected. Results Of the whole sample, 24 individuals (0.35%) reported a previous history …

cardiovascular risk050103 clinical psychologyCross-sectional studyOverweightmetabolic syndromeBody Mass IndexFeeding and Eating Disorders03 medical and health sciences0302 clinical medicinedepressive symptomsRisk FactorsmedicineHumans0501 psychology and cognitive sciencesObesityAgedMetabolic Syndromebusiness.industry05 social sciencesMiddle AgedAnthropometrymedicine.disease030227 psychiatryPsychiatry and Mental healthClinical PsychologyEating disordersCross-Sectional Studieseating disorderFemaleneuropsychological profileMetabolic syndromemedicine.symptombusinessNeurocognitiveBody mass indexClinical psychologyPsychopathology
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Anthropometric Variables as Mediators of the Association of Changes in Diet and Physical Activity With Inflammatory Profile

2020

AbstractBackgroundMechanisms underlying the associations of high levels of physical activity (PA) and adherence to the Mediterranean diet (MedDiet) with a better inflammatory profile remain unclear. Our objective was to assess the mediating role of changes in body mass index (BMI) and waist circumference (WC), as markers of body fat in the association of changes in PA and adherence to the MedDiet, with changes in the inflammatory profile.MethodThis study included 489 adults, aged 55–75 years, from the PREDIMED-Plus multicenter lifestyle intervention trial. An inflammatory score was calculated, based on 8 blood biomarkers: high-sensitivity C-reactive protein, interleukin 6, interleukin 8, in…

Agingmedicine.medical_specialtyWaistMediterranean diet030204 cardiovascular system & hematologyDiet Mediterraneanlaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawMediterranean dietInternal medicinemedicineHumans030212 general & internal medicineskin and connective tissue diseasesExerciseLife StyleBody mass indexInflammation2. Zero hungerbiologybusiness.industryLeptinC-reactive proteinAnthropometrybiology.proteinMediation analysisWaist circumferenceInterleukin 18sense organsGeriatrics and GerontologybusinessBody mass indexBiomarkersThe Journals of Gerontology: Series A
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Associations between dietary polyphenols and type 2 diabetes in a cross-sectional analysis of the PREDIMED-Plus Trial: role of body mass index and sex

2019

Overweight and obesity are important risk factors for type 2 diabetes (T2D). Moving towards healthier diets, namely, diets rich in bioactive compounds, could decrease the odds of suffering T2D. However, those individuals with high body mass index (BMI) may have altered absorption or metabolism of some nutrients and dietary components, including polyphenols. Therefore, we aimed to assess whether high intakes of some classes of polyphenols are associated with T2D in a population with metabolic syndrome and how these associations depend on BMI and sex. This baseline cross-sectional analysis includes 6633 participants from the PREDIMED-Plus trial. Polyphenol intakes were calculated from food fr…

0301 basic medicinePhysiologyCross-sectional studyClinical BiochemistryHydroxycinnamic acidsType 2 diabetesOverweightBiochemistry0302 clinical medicinepreventionFlavonoidesmetabolitesrisk2. Zero hungereducation.field_of_studyDiabetisDiabetes1. No poverty3. Good healthObesitatDietamedicine.symptommanagementHydroxybenzoic acidHydroxybenzoic acidsPhenolic acidsPopulationmen030209 endocrinology & metabolismArticleLignansCatechins2 cohorts03 medical and health sciencesEnvironmental healthcatechins diet flavonoids hydroxybenzoic acids hydroxycinnamic acids lignans obesity phenolic acids proanthocyanidinsmedicineProanthocyanidinsObesityeducationMolecular BiologyFlavonoids030109 nutrition & dieteticsbusiness.industrylcsh:RM1-950biomarkersnutritional and metabolic diseasesCell Biologymedicine.diseaseObesityDietlcsh:Therapeutics. PharmacologyMetabolic syndromebusinessBody mass index
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Leisure-Time physical activity, sedentary behaviour and diet quality are associated with metabolic syndrome severity: the PREDIMED-Plus Study

2020

The authors especially thank the PREDIMED-Plus participants for their enthusiastic collaboration, the PREDIMED-Plus personnel for outstanding support, and the personnel of all associated primary care centres for their exceptional effort. CIBEROBN, CIBERESP and CIBERDEM are initiatives of Instituto de Salud Carlos III, Spain. We thank the PREDIMED-Plus Biobank Network, part of the National Biobank Platform of Instituto de Salud Carlos III for storing and managing biological samples.

MaleSíndrome metabòlicaMediterranean diethumanosejercicio físico030204 cardiovascular system & hematologyOverweightSeverity of Illness Indexlaw.inventionchemistry.chemical_compound0302 clinical medicineSedentarismeRandomized controlled triallaw030212 general & internal medicineDepression (differential diagnoses)mediana edad2. Zero hungerMetabolic SyndromeancianoNutrition and Dietetics4. EducationMiddle Aged16. Peace & justiceMetabolic syndrome3. Good healthFemalemedicine.symptomlcsh:Nutrition. Foods and food supplymedicine.medical_specialtylcsh:TX341-641Article03 medical and health sciencesFood PreferencesMediterranean cookingLeisure ActivitiesInternal medicineMediterranean dietCuina mediterràniamedicineingesta energéticaHumansíndice de gravedad de la enfermedadExerciseMetabolic syndrome severityAgedbusiness.industryCholesterolPhysical activityactividades de ocioSedentary behaviourAnthropometryPhysical fitnessmedicine.diseaseObesitypreferencias alimenticiasSedentary behaviorCross-Sectional StudieschemistryDepression riskMetabolic syndromeSedentary BehaviorbusinessEnergy IntakeFood Scienceestudios transversalesCondició física
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Carbohydrate quality changes and concurrent changes in cardiovascular risk factors: a longitudinal analysis in the PREDIMED-Plus randomized trial.

2020

[Background]: Overall quality of dietary carbohydrate intake rather than total carbohydrate intake may determine the risk of cardiovascular disease (CVD).

PREDIMED-Plus carbohydrate carbohydrate quality index cardiovascular disease fiber glycemic index obesity randomized controlled trialsMaleobesity030309 nutrition & dieteticsMedicine (miscellaneous)030204 cardiovascular system & hematologyOverweightchemistry.chemical_compound0302 clinical medicinecardiovascular diseaseRisk FactorsSurveys and QuestionnairesGlycemic indexLongitudinal StudiesProspective Studies2. Zero hunger0303 health sciencesNutrition and DieteticsMiddle AgedCardiovascular disease3. Good healthGlycemic indexCardiovascular Diseasesrandomized controlled trialsRandomized controlled trialsFemalemedicine.symptomfibermedicine.medical_specialtyWaistCarbohydrates03 medical and health sciencesInternal medicinemedicineDietary CarbohydratesHumansFiberObesityAgedCarbohydrate quality indexTriglyceridebusiness.industryPREDIMED-PlusOverweightmedicine.diseaseObesityDietBlood pressurechemistrycarbohydratecarbohydrate quality indexglycemic indexGlycated hemoglobinMetabolic syndromebusinessEnergy Intake
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Dietary Polyphenol Intake is Associated with HDL-Cholesterol and A Better Profile of other Components of the Metabolic Syndrome: A PREDIMED-Plus Sub-…

2020

Dietary polyphenol intake is associated with improvement of metabolic disturbances. The aims of the present study are to describe dietary polyphenol intake in a population with metabolic syndrome (MetS) and to examine the association between polyphenol intake and the components of MetS. This cross-sectional analysis involved 6633 men and women included in the PREDIMED (PREvenci&oacute

Maleevaluación del desenlace del pacienteSíndrome metabòlicaMediterranean diet030309 nutrition & dieteticshumanosstilbenesDiet MediterraneanBody Mass Indexchemistry.chemical_compound0302 clinical medicinePublic Health SurveillanceFood scienceCompostos bioactiusmediana edad2. Zero hungerMetabolic Syndromeanciano0303 health scienceseducation.field_of_studyNutrition and Dieteticsdietafood and beveragescolesterolMiddle AgedMetabolic syndromeHDL-cholesterolCholesterolPolifenolsFemaleColesterollcsh:Nutrition. Foods and food supplyPopulationDietética y nutrición030209 endocrinology & metabolismlcsh:TX341-641Dietary PolyphenolBioactive compoundsArticle03 medical and health sciencesMediterranean cookingMediterranean dietCuina mediterràniamedicineHumansvigilancia en salud públicapolifenoleseducationNutricióNutritionAgedCholesterolbusiness.industryíndice de masa corporalCholesterol HDLPolyphenolsmedicine.diseaseDietPatient Outcome AssessmentBlood pressureglignansCross-Sectional StudieschemistryPolyphenolDietary SupplementsMetabolic syndromebusinessBody mass indexBiomarkersestudios transversalesFood ScienceNutrients
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Association Between Lifestyle and Hypertriglyceridemic Waist Phenotype in the PREDIMED-Plus Study.

2019

Objective: The hypertriglyceridemic waist (HTGW) phenotype is characterized by abdominal obesity and high levels of triglycerides. In a cross-sectional assessment of PREDIMED-Plus trial participants at baseline, HTGW phenotype prevalence was evaluated, associated risk factors were analyzed, and the lifestyle of individuals with metabolic syndrome and HTGW was examined. Methods: A total of 6,874 individuals aged 55 to 75 with BMI ≥ 27 and < 40 kg/m2 were included and classified by presence (HTGW+ ) or absence (HTGW- ) of HTGW (waist circumference: men ≥ 102 cm, women ≥ 88 cm; fasting plasma triglycerides ≥ 150 mg/dL). Analytical parameters and lifestyle (energy intake and expenditure) were a…

MaleEndocrinology Diabetes and MetabolismMedicine (miscellaneous)030209 endocrinology & metabolismTriglycerides blood03 medical and health sciences0302 clinical medicineEndocrinologyRisk FactorsMedicineHumans030212 general & internal medicineLife StyleTriglyceridesAged2. Zero hungerNutrition and Dieteticsbusiness.industryLife styleEuropean researchHypertriglyceridemic WaistMiddle AgedPredimed3. Good healthHypertriglyceridemic WaistCross-Sectional StudiesPhenotypeMulticenter studyObesity AbdominalFemaleWaist CircumferencebusinessDemographyObesity (Silver Spring, Md.)References
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Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PRE…

2019

Background: This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Methods: This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m(2)) from the PREDIMED-Plus study (http://www.predimedplus.com/). All participants had >= 3…

MalesueñoTime FactorshumanosMedicine (miscellaneous)ejercicio físicoType 2 diabetes030204 cardiovascular system & hematologyLogistic regressiontriglicéridosIsotemporal substitutionchemistry.chemical_compound0302 clinical medicineRisk FactorsAccelerometryInactive timeModerate-to-vigorous physical activityModerate to vigorous physical activityTime in bedlcsh:RC620-627mediana edadAdiposityCardiometabolic risk Inactive time Isotemporal substitution Light physical activity Moderate to vigorous physical activity Time in bedMetabolic SyndromeancianoNutrition and Dieteticslcsh:Public aspects of medicinecolesterolMiddle AgedLight physical activity3. Good healthlcsh:Nutritional diseases. Deficiency diseasesCholesterolCardiovascular diseasesFemaleadiposidadWaist Circumferencemedicine.medical_specialtyWaistRestPhysical Therapy Sports Therapy and RehabilitationClinical nutrition03 medical and health sciencesfactores de tiempo:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Internal medicineacelerometríaDiabetes Mellitusmedicinefactores de riesgoHumansObesityobesidadExerciseTriglyceridesAgedRetrospective Studiesperímetro abdominalMalalties cardiovascularsbusiness.industryResearchestudios retrospectivosCholesterol HDLlcsh:RA1-1270030229 sport sciencesPhysical fitnessmedicine.diseaseObesityUnited KingdomCardiometabolic riskCross-Sectional StudiesBlood pressureDiabetes Mellitus Type 2chemistryDescansGlycated hemoglobinSedentary BehaviorMetabolic syndromeSleepbusinessestudios transversalesCondició físicaInternational Journal of Behavioral Nutrition and Physical Activity
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Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elde…

2021

The PREDIMED-Plus trial was supported by the European Research Council (Advanced Research grant 2014–2019; agreement #340918; granted to M.Á.M.-G.); the official Spanish institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII) through the Fondo de Investigación para la Salud (FIS) which is co-funded by the European Regional Development Fund (coordinated FIS projects led by J.S-S. and J.V., including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI…

Síndrome metabólicoMaleFood processingMediterranean dietNOVAObesidadÍndice de masa corporal:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]0302 clinical medicineultra-processed foodMedicineTX341-641:Diseases::Pathological Conditions Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight [Medical Subject Headings]Body mass indexclassification systemsIncidenceIARC:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Questionnaires [Medical Subject Headings]Metabolic syndrome3. Good healthNutriciónCohortManipulación de alimentosDietaFactores de riesgo cardiometabólicoConcordanceUNC:Check Tags::Male [Medical Subject Headings]ClasificaciónClassification systemsDiet SurveysArticle03 medical and health sciencesfood processingHumans:Diseases::Cardiovascular Diseases [Medical Subject Headings]Aged030109 nutrition & dietetics:Health Care::Health Care Economics and Organizations::Organizations::International Agencies [Medical Subject Headings]:Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]PREDIMED-Plusmedicine.diseaseObesity:Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings]Blood pressure:Check Tags::Female [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings]Linear ModelsFast FoodsMetabolic syndromeOlder people0301 basic medicineSíndrome metabòlicaFood HandlingOverweightDiet MediterraneanPersones gransCohort Studiescardiometabolic riskEndocrinología030212 general & internal medicine:Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings]2. Zero hungerMetabolic SyndromeNutrition and Dietetics:Technology and Food and Beverages::Technology Industry and Agriculture::Industry::Food Industry::Food Handling [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Nutrition Therapy::Diet Therapy::Diet Mediterranean [Medical Subject Headings]Middle Aged:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Health Surveys::Nutrition Surveys::Diet Surveys [Medical Subject Headings]Female:Technology and Food and Beverages::Food and Beverages::Food::Fast Foods [Medical Subject Headings]medicine.symptom:Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Hyperinsulinism::Insulin Resistance::Metabolic Syndrome X [Medical Subject Headings]Dietética y nutrición:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings]:Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings]Environmental healthMediterranean dietObesityAlimentos ultraprocesados:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models Statistical::Linear Models [Medical Subject Headings]NutricióNutrition:Geographical Locations::Geographic Locations::Europe::Spain [Medical Subject Headings]business.industryNutrition. Foods and food supplyCardiometabolic Risk FactorsOverweightDieta mediterráneaCardiometabolic riskUltra-processed foodDietSpainIFICSobrepesoFood processingbusinessdietFood ScienceNutrients
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MOESM1 of Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health …

2019

Additional file 1: Table S1. Associations of total inactive time with adiposity indicators and cardio-metabolic risk factors (with further adjustment for light physical activity, instead of moderate-to-vigorous physical activity). Table S2. Associations of total inactive time with adiposity indicators and cardio-metabolic risk factors (with further adjustment for light physical activity, instead of moderate-to-vigorous physical activity and waist circumference as an indicator of adiposity). Table S3. Prevalence ratio of metabolic syndrome parameters according to tertiles of sedentary time (with further adjustment for light physical activity, instead of moderate-to-vigorous physical activity…

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MOESM1 of Longitudinal association of changes in diet with changes in body weight and waist circumference in subjects at high cardiovascular risk: th…

2019

Additional file 1: Figure S1. Flow chart summarizing selection of PREDIMED participants for the present study. Figure S2. Directed acyclic graph (DAG). Table S1. Characterization of food items belonging to each food group. Table S2. Correlations matrix between food groups (serving/d) within each global dietary score (GDS). Table S3. Sensitivity analyses: Association of yearly changes in food groups intake with concurrent changes in waist circumference over 5-year of follow-up by sex. Table S4. Sensitivity analysis: association of changes in global dietary score (GDS) with body weight and waist circumference changes over 5-year of follow-up. Table S5. Sensitivity analysis: association of cha…

sense organsskin and connective tissue diseases
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