0000000000201042

AUTHOR

Jean-bernard Ruidavets

showing 8 related works from this author

Incidence of cardiovascular events and risk markers in a prospective study of children diagnosed with Marfan syndrome

2018

Little is known about the incidence of cardiovascular events (CVEs) and their associated risk markers in children with Marfan syndrome (MFS).To assess the incidence of CVEs and determine risk markers in a cohort diagnosed with Marfan syndrome during childhood and followed for several years.From a French multicentre nationwide database, 462 patients with MFS diagnosed during childhood were included prospectively. Patients' files were screened for a period of 20 years (1993-2013). CVEs (e.g. death, aortic dissection, cardiac valve or aortic root surgery) were assessed during the prospective follow-up.Median (interquartile range) age at the end of follow-up was 17.2 (11.1-21.3) years. CVEs wer…

AdultMaleMarfan syndromePediatricsmedicine.medical_specialtyTime FactorsAdolescentDatabases Factual030204 cardiovascular system & hematologyRisk AssessmentMarfan SyndromeYoung Adult03 medical and health sciences0302 clinical medicineRisk FactorsInterquartile rangeCardiac valvemedicineHumansProspective Studies030212 general & internal medicineChildProspective cohort studyAortic dissectionbusiness.industryIncidenceIncidence (epidemiology)Age FactorsInfantGeneral MedicinePrognosismedicine.diseaseConfidence intervalCardiovascular DiseasesChild PreschoolCohortFemaleFranceCardiology and Cardiovascular MedicinebusinessArchives of Cardiovascular Diseases
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2020

education.field_of_studybusiness.industryPopulationDistribution (economics)medicine.diseaseObesityGeographymedicineUnderweightmedicine.symptomeducationbusinessBody mass indexDemography
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0470 : Serum IF1 concentration as a predictor of mortality in coronary heart disease patients

2015

Aim The ecto-F1-ATPase/P2Y13 pathway plays a key role in reverse cholesterol transport. Exogenous IF1, known as the natural mitochondrial specific inhibitor of F1-ATPase activity, inhibits ecto-F1-ATPase activity and decreases HDL-C uptake by hepatocytes. We previously found that IF1 is present in human serum and is negatively associated with coronary heart disease (CHD). Here, we investigated the relationship between serum IF1 concentration and mortality in CHD patients. Methods Serum IF1 was measured in 624 CHD patients aged 45-74 from the GENES (Genetique et ENvironement en Europe du Sud) study. After 9.1 years follow up, mortality rate was 24.5%. Results Patients who had died were older…

medicine.medical_specialtyEjection fractionbusiness.industryMortality rateReverse cholesterol transportmedicine.diseaseCoronary heart diseaseEndocrinologyAtheromaQuartileInternal medicineDiabetes mellitusCardiologyMedicinecardiovascular diseasesCardiology and Cardiovascular MedicinebusinessDyslipidemiaArchives of Cardiovascular Diseases Supplements
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Cardiac rehabilitation and 5-year mortality after acute coronary syndromes: The 2005 French FAST-MI study.

2016

IF 2.271; International audience; Background. - Clinical studies have shown a beneficial effect of cardiac rehabilitation (CR) on mortality.Objective. - To study the effect of CR prescription at discharge on 5-year mortality in patients with acute myocardial infarction (AMI).Methods. - Participants, from the 2005 French FAST-MI hospital registry, were 2894 survivors at discharge, divided according to AMI type: ST-segment elevation myocardial infarction (STEMI; n=1523) and non-STEMI (NSTEMI; n=1371). The effect of CR prescription on mortality was analysed using a Cox proportional hazards model.Results. - At discharge, 22.1% of patients had a CR prescription. Patients referred to CR were youn…

MaleMESH: Chi-Square Distributionmedicine.medical_treatmentMESH : Acute Coronary SyndromeMyocardial InfarctionMESH : AgedMESH : Prospective StudiesCardiac rehabilitationMESH: Risk Assessment0302 clinical medicineMyocardial infarctionProspective StudiesReferral and ConsultationMESH: Treatment OutcomeRehabilitationMESH: Middle AgedGeneral MedicineMESH: Follow-Up Studies3. Good healthMESH: Myocardial InfarctionMESH : Patient DischargeCardiology and Cardiovascular Medicinemedicine.medical_specialtyAcute myocardial infarctionMortalitéRisk Assessment03 medical and health sciences[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemHumansMESH : Middle AgedAcute Coronary SyndromeMESH: Kaplan-Meier EstimateAgedChi-Square DistributionMESH: HumansMESH : Chi-Square DistributionProportional hazards modelMESH: Patient DischargeMESH : HumansPatient survivalMESH : Follow-Up Studiesmedicine.diseaseMESH : Proportional Hazards ModelsMESH: Acute Coronary SyndromeST-segment elevation myocardial infarctionMESH: FemaleTime FactorsMESH: RegistriesKaplan-Meier Estimate030204 cardiovascular system & hematologyMESH : Referral and ConsultationMESH: Proportional Hazards ModelsOlder patientsRisk FactorsMESH: Risk FactorsMESH : Female030212 general & internal medicineRegistriesMESH : Risk AssessmentMESH: AgedEjection fractionNon–ST-segment elevation myocardial infarctionMiddle Aged[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemMESH : Risk FactorsPatient DischargeTreatment OutcomeFemaleFranceMESH : Time FactorsMESH : MaleMESH : Treatment OutcomeMESH: Multivariate AnalysisMESH : Kaplan-Meier EstimateMESH: Referral and ConsultationInternal medicineInfarctus du myocarde sans sus-décalage du segment STmedicineIn patientcardiovascular diseasesMedical prescriptionMortalityRéadaptation cardiaqueMESH : FranceProportional Hazards Modelsbusiness.industryInfarctus du myocarde avec sus-décalage du segment STMESH: Time FactorsMESH : Multivariate AnalysisMESH: MaleMESH: Prospective StudiesSurgeryMESH: FranceInfarctus du myocarde aiguMultivariate AnalysisMESH : Myocardial InfarctionbusinessMESH : RegistriesFollow-Up Studies
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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
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio : a pooled analy…

2020

Artículo con numerosos autores. Sólo quedan reflejados el primero, los pertenecientes a la UAM y el colectivo

Malegupo de ascendencia continental asiáticaSettore MED/09 - Medicina InternaTotal Cholesterol ; Ldl Cholesterol ; Hdl Cholesterol ; Blood Lipids ; Multi-country StudyEpidemiologykolesterolihumanosBlood lipidsBLOOD-PRESSURE030204 cardiovascular system & hematologytriglicéridoschemistry.chemical_compound0302 clinical medicineHigh-density lipoproteinHDL cholesterolEpidemiologyMedicine and Health SciencesCARDIOVASCULAR RISK-FACTORSMedicine030212 general & internal medicinemediana edadlípidosPublic Environmental & Occupational Health2. Zero hungerancianoeducation.field_of_studyAge FactorsPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMiddle Agedcolesteroladultokansainvälinen vertailuLipids3142 Public health care science environmental and occupational health3. Good healthEuropeCholesterolPopulation SurveillanceLDL cholesterolSERUM-LIPIDSFemalelipids (amino acids peptides and proteins)Life Sciences & BiomedicineAdultAsian Continental Ancestry GroupCanadaHDL cholesterol; LDL cholesterol; Total cholesterol; blood lipids; multi-country studymedicine.medical_specialtyAsiaMedicinaEuropean Continental Ancestry GroupPopulationNursingHDL-kolesteroliWhite PeopleDIETARY-FAT03 medical and health sciencesSex FactorsAsian Peoplekansanterveysvigilancia de la poblaciónTotal cholesterolHumansCORONARY-HEART-DISEASEmulti-country studyddc:610LDL-kolesteroliTotal cholesteroleducationTriglyceridesMETAANALYSISAgedINDIVIDUAL DATAScience & Technologyblood lipidsbusiness.industryCholesterolOmvårdnadblood lipidCholesterol HDLEcological studynutritional and metabolic diseasesCholesterol LDLUnited StatesFolkhälsovetenskap global hälsa socialmedicin och epidemiologiAdult; Age Factors; Aged; Asia; Asian Continental Ancestry Group; Canada; Cholesterol/blood; Cholesterol HDL; Cholesterol LDL; Europe; European Continental Ancestry Group; Female; Humans; Lipids/blood; Male; Middle Aged; Population Surveillance/methods; Sex Factors; Triglycerides/blood; United States; HDL cholesterol; LDL cholesterol; Total cholesterol; blood lipids; multi-country studychemistryWORLDWIDE TRENDSMulti-country study ; Total cholesterol ; HDL cholesterol ; LDL cholesterol ; Blood lipidsgrupo de ascendencia continental europeabusinessHIGH-DENSITY-LIPOPROTEIN[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyDemographyLipoprotein
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