Search results for "índice"

showing 10 items of 99 documents

Dietary Inflammatory Index and Incidence of Cardiovascular Disease in the PREDIMED Study

2015

Previous studies have reported an association between a more pro-inflammatory diet profile and various chronic metabolic diseases. The Dietary Inflammatory Index (DII) was used to assess the inflammatory potential of nutrients and foods in the context of a dietary pattern. We prospectively examined the association between the DII and the incidence of cardiovascular disease (CVD: myocardial infarction, stroke or cardiovascular death) in the PREDIMED (Prevención con Dieta Mediterránea) study including 7216 high-risk participants. The DII was computed based on a validated 137-item food frequency questionnaire. Multivariate-adjusted hazard ratios (HR) and 95% confidence intervals of CVD risk we…

MaleMediterranean dietmodelos de riesgos proporcionaleshumanosSistema cardiovascular -- Malaltiesestudios de seguimientoDiet MediterraneanDietary inflammatory indexBody Mass Indexcardiovascular diseaseRisk Factorsestudios prospectivosSurveys and QuestionnairesNutsProspective StudiesProspective cohort studymediana edadAged 80 and overancianoNutrition and Dieteticsdietaresultado del tratamientoIncidenceIncidence (epidemiology)Hazard ratioMiddle AgedCardiovascular diseaseInflamaciódeterminación del punto finalCardiovascular diseasesTreatment OutcomeQuartileCardiovascular Diseasesdietary inflammatory indexFemalelcsh:Nutrition. Foods and food supplyPREDIMEDmedicine.medical_specialtyEndpoint DeterminationPromoció de la salutenfermedades cardiovasculareslcsh:TX341-641Context (language use):Ciencias de la Salud::Nutrición y dietética [Materias Investigacion]incidenciaArticleMediterranean cookinginflamaciónInternal medicineCuina mediterràniaingesta energéticamedicinefactores de riesgoHumansanálisis multifactorialOlive OilAgedProportional Hazards ModelsInflammationMalalties cardiovascularsbusiness.industryProportional hazards modelíndice de masa corporalDietSurgerynuecesMultivariate AnalysisHealth promotionEnergy IntakebusinessBody mass indexFollow-Up StudiesFood ScienceNutrients
researchProduct

Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million …

2016

Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

MaleObesidadCHILDRENSaludReviewpaíses desarrolladosGlobal HealthBody Mass IndexBody mass index population study0302 clinical medicineModelsFactores de riesgo cardiovascularMedicinebody mass index ; underweight ; overweight ; obesityYoung adultHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidGeneral MedicineASSOCIATION11 Medical And Health Sciencesadultopredicciónadulto jovenCARDIOVASCULAR-DISEASEthinness/epidemiologyNONCOMMUNICABLE DISEASESNCD Risk Factor Collaboration (NCD-RisC)Enfermedades cardiovascularesDeveloped countryteorema de BayesMedical sciences03 medical and health sciencesSDG 3 - Good Health and Well-beingThinnessHumanseducationDeveloping CountriesobesidadVLAGScience & TechnologyModels StatisticalCAUSE-SPECIFIC MORTALITYBayes Theoremmedicine.diseaseQPObesityadult body-massIndice de masa corporal (IMC)RISK-FACTORSAdolescent; Adult; Bayes Theorem; Body Mass Index; Developed Countries; Developing Countries; Female; Forecasting; Global Health; Humans; Male; Models Statistical; Obesity/epidemiology; Prevalence; Thinness/epidemiology; Young AdultRABody mass indexDemographyMeta-AnalysisGerontologySettore MED/09 - Medicina InternaNutrition and DiseasehumanosadolescenteOverweightpaíses en desarrolloVoeding en ZiekteMedicine and Health SciencesGlobal healthPrevalence030212 general & internal medicineNon-U.S. Gov'tMedicine (all)Research Support Non-U.S. Gov'tprevalenciaPublic Health Global Health Social Medicine and EpidemiologyStatisticalAdolescent; Adult; Bayes Theorem; Developed Countries; Developing Countries; Female; Forecasting; Humans; Male; Models Statistical; Obesity; Prevalence; Thinness; Young Adult; Body Mass Index; Global Health; Medicine (all)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleUnderweightmedicine.symptompooled analysisLife Sciences & Biomedicineobesity/*epidemiologyAdultAdolescentPopulation030209 endocrinology & metabolismResearch SupportYoung AdultMedicine General & InternalEPIDEMICGeneral & Internal MedicineJournal ArticleLife Scienceddc:610ObesityObesidad morbidaOBESITY PREVENTIONOVERWEIGHTbusiness.industryDeveloped Countriesíndice de masa corporalCOHORTS//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiCiencias socio biomédicasbusinessdelgadezForecasting
researchProduct

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

2019

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions…

MaleRural PopulationobesityObesity body mass indexSettore MED/09 - Medicina InternaLetterUrban PopulationEpidemiology[SDV]Life Sciences [q-bio]humanosbody-mass indexadolescenteGeographic MappingSex Factorpaíses desarrolladosRural Health//purl.org/pe-repo/ocde/ford#3.03.09 [https]systematic analysisBody Mass Indexpaíses en desarrollo80 and overrisk factorsAge Factorphysical-activitymediana edadmapeo geográficoAged 80 and overanciano//purl.org/pe-repo/ocde/ford#3.02.18 [https]dietaAge FactorshealthadultoMiddle AgedMultidisciplinary Sciencesadulto joven[SDV] Life Sciences [q-bio]estado nutricionalnutritionScience & Technology - Other TopicsNUTRITIONFemaleHEALTHpooled analysisDiet Healthyworldwide trendsHumanDeveloped CountrieAdultAdolescent//purl.org/pe-repo/ocde/ford#3.03.04 [https]FOOD SYSTEMSocio-culturaleNutritional StatusURBANAdolescent; Adult; Age Factors; Aged; Aged 80 and over; Developed Countries; Developing Countries; Diet Healthy; Female; Geographic Mapping; Humans; Male; Middle Aged; Obesity; Rural Health; Rural Population; Sex Factors; Urban Health; Urban Population; Young Adult; Body Mass Index; Nutritional StatusPOOLED ANALYSISDeveloping CountrieYoung AdultSex FactorsMIDDLE-INCOME COUNTRIESSYSTEMATIC ANALYSISHumansUrban rural Obesity Body-Mass-IndexObesityobesidadDeveloping CountriesAgedMiddle-income countries; obesity; physical-activity; systematic analysis; worldwide trends; pooled analysis; food system; urban; health; nutrition; weightHealthyScience & TechnologyMiddle-income countriesDeveloped Countriesíndice de masa corporalUrban HealthweightDietPHYSICAL-ACTIVITYWORLDWIDE TRENDSRisk factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieWEIGHTfood systemurban
researchProduct

Economic evaluation of a guided and unguided internet-based CBT intervention for major depression: Results from a multicenter, three-armed randomized…

2017

Depression is one of the most common mental disorders and will become one of the leading causes of disability in the world. Internet-based CBT programs for depression have been classified as well established following the American Psychological Association criteria for empirically supported treatments. The aim of this study is to analyze the cost effectiveness at 12-month follow-up of the Internet-based CBT program Smiling is fun with (LITG) and without psychotherapist support (TSG) compared to usual care. The perspective used in our analysis is societal. A sample of 296 depressed patients (mean age of 43.04 years; 76% female; BDI-II mean score = 22.37) from primary care services in four Sp…

MaleSpanish PeopleEconomicsPsychological interventionSocial SciencesSeverity of Illness Indexlaw.invention:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]Learning and Memory0302 clinical medicineHispanoamericanosEthnicitiesPsychologyAnálisis de intención de tratarlcsh:Sciencemediana edadancianoDepressionAntidepressantsadulto:Health Care::Health Services Administration::Patient Care Management::Comprehensive Health Care::Primary Health Care [Medical Subject Headings]Humanosadulto joven:Health Care::Health Care Quality Access and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Epidemiologic Study Characteristics as Topic::Clinical Trials as Topic::Controlled Clinical Trials as Topic::Randomized Controlled Trials as Topic::Intention to Treat Analysis [Medical Subject Headings]Psicoterapia:Information Science::Information Science::Computing Methodologies::Computer Systems::Computer Communication Networks::Internet [Medical Subject Headings]medicine.medical_specialtyEvidence-based practiceGrupos control03 medical and health sciences:Health Care::Health Care Economics and Organizations::Economics::Costs and Cost Analysis::Cost-Benefit Analysis [Medical Subject Headings]Drug TherapySeverity of illnessHumans:Persons::Persons::Age Groups::Adult [Medical Subject Headings]psicoterapiaAgedPharmacologyDepressive DisorderDepressive Disorder MajorInternetPrimary Health CareMood Disorderslcsh:RBiology and Life SciencesSonrisa030227 psychiatryHealth CareAnálisis costo-beneficio:Check Tags::Female [Medical Subject Headings]Economic evaluationlcsh:QPopulation GroupingsNeuroscienceGerontologyFinancial ManagementCost effectivenessCost-Benefit Analysishumanosadolescentelcsh:MedicineTrastorno depresivoRandomized controlled triallawDepresiónMedicine and Health Sciences030212 general & internal medicineMultidisciplinaryAdultoPharmaceuticsresultado del tratamientoFemeninoDrugsCost-effectiveness analysisMiddle AgedTelemedicineTreatment OutcomeSociedades científicasFemale:Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Communication::Nonverbal Communication::Facial Expression::Smiling [Medical Subject Headings]Estudios de seguimiento:Persons::Persons::Population Groups::Ethnic Groups::Hispanic Americans [Medical Subject Headings]telemedicinaResearch ArticleAdultAdolescent:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Methods::Research Design::Control Groups [Medical Subject Headings]:Psychiatry and Psychology::Behavioral Disciplines and Activities::Psychotherapy [Medical Subject Headings]Cost-Effectiveness AnalysisMEDLINEYoung Adulttrastorno depresivoAtención primaria de saludMental Health and PsychiatryIndirect CostsmedicineLearningíndice de gravedad de la enfermedadPrimary Care:Psychiatry and Psychology::Mental Disorders::Mood Disorders::Depressive Disorder [Medical Subject Headings]:Health Care::Health Care Economics and Organizations::Organizations::Societies::Societies Scientific [Medical Subject Headings]Cognitive Behavioral Therapybusiness.industryCognitive Psychology:Health Care::Health Care Quality Access and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Follow-Up Studies [Medical Subject Headings]Economic AnalysisPsychotherapyPeople and PlacesPhysical therapyCognitive Science:Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Behavioral Symptoms::Depression [Medical Subject Headings]businessFinance
researchProduct

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
researchProduct

Statistical and biological gene-lifestyle interactions of MC4R and FTO with diet and physical activity on obesity: new effects on alcohol consumption

2012

Background: Fat mass and obesity (FTO) and melanocortin-4 receptor (MC4R) and are relevant genes associated with obesity. This could be through food intake, but results are contradictory. Modulation by diet or other lifestyle factors is also not well understood. Objective: To investigate whether MC4R and FTO associations with body-weight are modulated by diet and physical activity (PA), and to study their association with alcohol and food intake. Methods: Adherence to Mediterranean diet (AdMedDiet) and physical activity (PA) were assessed by validated questionnaires in 7,052 high cardiovascular risk subjects. MC4R rs17782313 and FTO rs9939609 were determined. Independent and joint associati…

Maleconsumo de alcoholMediterranean dietEpidemiologyhumanoslcsh:MedicineMC4RCardiovascularSocial and Behavioral SciencesBody Mass IndexPsychologylcsh:ScienceBody mass indexmediana edadAged 80 and overancianoMultidisciplinaryMiddle AgedDrinking of alcoholic beveragesAlpha-Ketoglutarate-Dependent Dioxygenase FTOestilo de vidaMedicineReceptor Melanocortin Type 4Consum d'alcoholObesitatFemalePublic HealthFTOResearch Articlemedicine.medical_specialtyEstils de vidaWaistAlcohol DrinkingClinical Research DesignLifestylesAlpha-Ketoglutarate-Dependent Dioxygenase FTOExerciciBiologyInternal medicineDiabetes mellitusmedicineGenetic predispositionHumansObesitySports and Exercise MedicineLife StyleobesidadExercisePrimary CareNutritionAgedBehaviorPhysical activityproteínaslcsh:Ríndice de masa corporalProteinsnutritional and metabolic diseasesAnthropometrymedicine.diseaseObesityEndocrinologyMetabolic Disorderslcsh:QBody mass index
researchProduct

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
researchProduct

Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk

2012

Introduction: Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes, hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome. Materials and Methods: In our cross-sectional analyses we included 7447 Spanish individuals at high cardiovascular risk, men aged 55-80 years and wome…

MaleriesgoNon-Clinical Medicineestatura corporalhumanosCardiovascularPersones gransBody Mass Indexconstitución corporalEndocrinologyRisk Factorsanálisis de regresiónOdds RatioAbdominal obesitymediana edadAged 80 and overWaist-to-height ratioancianoMultidisciplinaryAnthropometryQRMiddle Agedcociente de probabilidades relativasCardiovascular diseasesCardiovascular DiseasesObesity AbdominalHypertensionRegression AnalysisMedicineObesitatFemalemedicine.symptomWaist CircumferenceResearch ArticleRiskmedicine.medical_specialtyScienceenfermedades cardiovascularesInternal medicineDiabetes mellitusmedicineDiabetes MellitusHumansfactores de riesgoObesityRisk factorobesidadNutritionAgedDiabetic EndocrinologyElderly CareHealth Care Policyperímetro abdominalbusiness.industryMalalties cardiovascularsíndice de masa corporalnutritional and metabolic diseasesOdds ratioDiabetes Mellitus Type 2medicine.diseaseBody HeightEndocrinologyCross-Sectional StudiesDiabetes Mellitus Type 2antropometríaSpainGeriatricsMetabolic DisordersBody ConstitutionMetabolic syndromeOlder peoplebusinessBody mass indexDyslipidemiaestudios transversales
researchProduct

Les followers ont-ils vraiment de l'importance dans le modèle de Stackelberg?

2011

In this paper, we consider a T-stage linear model of Stackelberg oligopoly. First, we show geometrically and analytically that under the two conditions of linear market demand and identical constant marginal costs, the T-stage Stackelberg model reduces to a model where T oligopolies exploit residual demand sequentially. At any stage, leaders behave as if followers did not matter. Second, we study social welfare and convergence toward competitive equilibrium. Especially, we consider the velocity of convergence as the number of firms increases. The convergence is faster when reallocating firms from the most to the less populated cohort until equalizing the size of all cohorts.

Marginal costEconomics and Econometricsfollower's output indexíndice de producto del seguidorJEL: L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L13 - Oligopoly and Other Imperfect Marketsmodèle généralisé de Stackelberggeneralized Stackelberg competitioncompetencia de Stackelberg generalizadaCompetitive equilibriumrazón de descuento del markup del líderSupply and demandlcsh:Economic history and conditionsOligopolyjel:L20JEL : L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L13 - Oligopoly and Other Imperfect Marketseconomía linealgeneralized Stackelberg competition.Stackelberg competitionEconomicsLeader’s markup discount factor linear economy follower’s output discount factor myopic behavior[ SHS.ECO ] Humanities and Social Sciences/Economies and financesfacteurs d'escompte markupJEL : L - Industrial Organization/L.L2 - Firm Objectives Organization and Behavior/L.L2.L20 - General[SHS.ECO] Humanities and Social Sciences/Economics and FinanceHB71-74lcsh:HB71-74Economic history and conditionsLinear modellcsh:Economics as a scienceConvergence (economics)HC10-1085leader's markup discount ratio[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeneral Business Management and AccountingJEL: L - Industrial Organization/L.L2 - Firm Objectives Organization and Behavior/L.L2.L20 - GeneralEconomics as a sciencelinear economyjel:L13leader's markup discount ratio linear economy follower's output index generalized Stackelberg competitionlcsh:HC10-1085économie linéaireStatistics Probability and UncertaintyConstant (mathematics)Mathematical economicsFinanceSocial Sciences (miscellaneous)
researchProduct

Evaluación del índice de proliferación Ki-67 como predictor de recidiva en Meningiomas cerebrales grado I de la OMS. Comparación con la escala de res…

2016

Introducción: Los meningiomas representan el 13-26% de tumores primarios intracraneales, con una incidencia anual de 2-4 nuevos casos/100000 habitantes año, siendo su tratamiento de elección la cirugía. Cerca de un 90% de los meningiomas son categorizados como grado I histológico y su tasa de recurrencia se cifra entre un 7-20%. Según sus características histopatológicas se clasifican siguiendo los parámetros de la OMS, si bien no existen factores histológicos o moleculares que puedan predecir su recidiva de forma cierta, siendo el principal factor descrito en la literatura en este sentido el grado de exéresis de acuerdo a la escala de resección de Simpson. Hipótesis y Objetivos: El índice …

Meningioma grado IIUNESCO::CIENCIAS MÉDICASKi-67Meningioma grado IEscala de Simpson:CIENCIAS MÉDICAS [UNESCO]MeningiomaÍndice de proliferaciónRecidiva
researchProduct