0000000001219662

AUTHOR

Jean Dallongeville

showing 15 related works from this author

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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Association of Birth Weight With Type 2 Diabetes and Glycemic Traits: A Mendelian Randomization Study.

2019

Key Points Question Is birth weight associated with type 2 diabetes and glycemic traits? Findings This mendelian randomization study found that a 1-SD decrease in birth weight due to the genetic risk score was associated with a higher risk of type 2 diabetes among European and East Asian populations. In addition, a 1-SD decrease in birth weight was associated with a 0.189-SD increase in fasting glucose concentration, but not with fasting insulin, 2-hour glucose, or hemoglobin A1c level. Meaning A genetic predisposition to lower birth weight was associated with an increased risk of type 2 diabetes and increased fasting glucose, suggesting potential mechanisms through which perturbation of th…

Blood GlucoseMaleType 2 diabetes0302 clinical medicineOdds RatioBirth WeightInsulin030212 general & internal medicineOriginal Investigation0303 health sciencesAsia EasternMendelian Randomization AnalysisGeneral MedicineMiddle Aged16. Peace & justice3. Good healthOnline OnlyDiabetes and EndocrinologyFemaletype 2 diabetesAdultmedicine.medical_specialtyDiabetes riskAdolescentBirth weightPolymorphism Single NucleotideWhite People03 medical and health sciencesYoung AdultSDG 3 - Good Health and Well-beingAsian PeopleDiabetes mellitusInternal medicineMendelian randomizationmedicineHumans030304 developmental biologyGlycemicAgedGlycated Hemoglobinbusiness.industryResearchInfant Newbornbirth weightGenetic VariationOdds ratioMendelian Randomization Analysismedicine.diseaseDiabetes Mellitus Type 2mendelian randomization studybusinessJAMA network open
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Repositioning of the global epicentre of non-optimal cholesterol

2020

Publisher's version (útgefin grein)

MaleMyocardial Ischemia/bloodBLOOD-PRESSUREtriglicéridos0302 clinical medicineCardiovascular diseases ; Risk factorsHDL cholesterol80 and overCARDIOVASCULAR RISK-FACTORSPublic health surveillance//purl.org/pe-repo/ocde/ford#3.02.04 [https]BlóðrásarsjúkdómarSocioeconomicsmediana edadComputingMilieux_MISCELLANEOUSPOPULATIONHypercholesterolemia/bloodAged 80 and overCholesterol HDL/bloodancianoeducation.field_of_studyKólesterólriskitekijätadulto3. Good healthadulto jovenTriglycerides/bloodCardiovascular diseasesGeographyCholesterolManchester Institute for Collaborative Research on AgeingCholesterol LDL/bloodDENSITY-LIPOPROTEIN CHOLESTEROLEndokrinologi och diabetesNCD Risk Factor Collaboration (NCD-RisC)Science & Technology - Other Topics//purl.org/becyt/ford/3 [https]Westernteorema de Bayesmedicine.medical_specialtyResearchInstitutes_Networks_Beacons/MICRAHDLMedicinaHypercholesterolemiahipercolesterolemiaNursingHEART-DISEASEEndocrinology and DiabetesHigh blood cholesterol.HDL-kolesteroliArticleLDLravintoHealth risk assessment03 medical and health sciences//purl.org/becyt/ford/3.3 [https]SDG 3 - Good Health and Well-beingBlood cholesterolHumanseducationSERUM-CHOLESTEROLVLAGAgedScience & TechnologyCholesterolPublic healthOmvårdnadHuman healthVDP::Medisinske Fag: 700::Basale medisinske odontologiske og veterinærmedisinske fag: 710Bayes TheoremATHEROSCLEROSIS SOCIETYRisk factorschemistryLipid-lowering medicationsFaculdade de Ciências SociaisEast and southeast Asiaalueelliset erotInternationalityNutrition and Disease[SDV]Life Sciences [q-bio]kolesterolihumanosMyocardial IschemiaMedizinadolescenteNon-HDL cholesterolBlood lipids030204 cardiovascular system & hematologyisquemia miocárdicachemistry.chemical_compoundCholesterol epidemiologyMEDICATION USEVoeding en ZiekteMedicine and Health SciencesAdolescent; Adult; Aged; Aged 80 and over; Bayes Theorem; Cholesterol HDL; Cholesterol LDL; Female; Humans; Hypercholesterolemia; Male; Middle Aged; Myocardial Ischemia; Stroke; Triglycerides; Young Adult; Internationality030212 general & internal medicine2. Zero hungerMultidisciplinaryMortality rateRepositioningStroke/blood1. No povertyPublic Health Global Health Social Medicine and EpidemiologycolesterolMiddle AgedVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 7103142 Public health care science environmental and occupational healthPeer reviewStrokeMultidisciplinary SciencesTrend analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalelipids (amino acids peptides and proteins)LIPIDSAdultAdolescentGeneral Science & TechnologyPopulationepicentre20-YEAR TRENDSYoung AdultmedicineLife Scienceddc:610accidente cerebrovascularDisease burdenTriglyceridesNutritionHigh density lipoproteinsnon-optimal cholesterolCholesterol HDLinternacionalidadCholesterol LDLTreatmentFolkhälsovetenskap global hälsa socialmedicin och epidemiologi
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Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018…

2018

Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean dia…

systolic blood pressureSettore MED/09 - Medicina Internablood pressure measurementHEALTH EXAMINATION SURVEYSBlood Pressure ; Hypertension ; Population Health ; Global Health ; Non-communicable DiseaseEpidemiology[SDV]Life Sciences [q-bio]global healthSouth Asia//purl.org/pe-repo/ocde/ford#3.03.09 [https]kohonnut verenpaineMedicine and Health Sciencesmiddle income countrymeasurement methodskin and connective tissue diseasesVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771Public Environmental & Occupational HealthadultPopulation healthpublic healthblood pressure regulationPublic Health Global Health Social Medicine and EpidemiologyNon-communicable diseasekansainvälinen vertailuhealth surveyagedfemalepriority journalHypertensionBlood pressuremean arterial pressureGLOBAL TRENDSSODIUM-INTAKELife Sciences & Biomedicinesurvey designhypertensionprevalenceGlobal healthUNITED-STATESURBAN COMMUNITIESArticleSECULAR TRENDSMiddle EastCentral Asiamaledisease prevalence[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemkansanterveysbloodSYSTEMATIC ANALYSIShumanverenpainetautiBlood pressure; Global health; Hypertension; Non-communicable disease; Population health; Epidemiology; public health;non-communicable diseaseScience & TechnologyPacific Oceanhigh income countrydiastolic blood pressurePacific RimBlood pressure; Global health; Hypertension; Non-communicable disease; Population healthBlood Pressure - Epidemiology - PopulationNorth Africamajor clinical studyHYPERTENSION PREVALENCEverenpaineFolkhälsovetenskap global hälsa socialmedicin och epidemiologiARTERIAL-HYPERTENSION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiePOTASSIUM INTAKEsense organstrend analysistrend studypopulation researchpopulation health[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologylow income country
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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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Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement s…

2017

© 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model …

MaleobesityPediatric ObesitySettore MED/09 - Medicina Internaage distributionBayes theoremNiue[SDV]Life Sciences [q-bio]global healthpreschool childBody Mass IndexunderweightPrevalencestatistics and numerical dataChildComputingMilieux_MISCELLANEOUSMedicine (all)adultAge FactorsAmerican Samoafemalepriority journalChild Preschoolbody heightyoung adultCook IslandsNauruchildhood obesityAdolescentPalausex differenceEastern Europeadolescent obesityArticlePolynesiaSouth and Central Americabody weightFederated States of MicronesiaSex FactorsThinnessgeographic distributionHumanscontrolled studyhumanCaribbeanOverweightNorth Africamajor clinical studybody massUnited States//purl.org/pe-repo/ocde/ford#3.02.00 [https]agesex factortrend study
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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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A century of trends in adult human height

2016

Article

estatura corporalEpidemiologyComputingMilieux_LEGALASPECTSOFCOMPUTINGmedical research;pituuskasvuGlobal Healthmedical research0302 clinical medicineadultsPublic health surveillanceBiology (General)ComputingMilieux_MISCELLANEOUSheight ; global ; trendsPOPULATIONHuman Nutrition & Healthbiological sciences;education.field_of_studyEVOLUÇÃO HUMANAbiological sciencesHumane Voeding & GezondheidGeneral MedicineadultoHälsovetenskaperBiological sciencesnutritionOF-THE-LITERATUREMedicineGROWTHHEALTHPublic HealthHumanQH301-705.5ScienceSECULAR CHANGESSocio-culturaleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesEpidemiology; Public HealthMedical researchNoneHealth SciencesHumansHuman heighteducationVLAGNeuroscience (all)Biochemistry Genetics and Molecular Biology (all)Adult human heightCHILD UNDERNUTRITION030104 developmental biologyBody mass index030217 neurology & neurosurgeryheightDemography0301 basic medicineSettore MED/09 - Medicina InternaNutrition and DiseaseImmunology and Microbiology (all)[SDV]Life Sciences [q-bio]humanosbiological sciences; epidemiology; global health; medical research; none; nutritionVoeding en ZiekteStature -- History -- 20th centuryMedicine and Health SciencesBiological sciencesaikuisetGeneral NeuroscienceQRPublic Health Global Health Social Medicine and EpidemiologyBody sizenone;biological sciences; epidemiology; global health; medical research; none; nutrition; Adult; Global Health; Humans; Body Height; Neuroscience (all); Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all)epidemiology;Adult height//purl.org/pe-repo/ocde/ford#3.01.03 [https]Research Articletrendsglobal health;AdultSTATURESouth asia//purl.org/pe-repo/ocde/ford#1.06.03 [https]Stature TallPopulationGlobal healthJournal ArticleLife ScienceGeneral Immunology and Microbiologybiological science//purl.org/pe-repo/ocde/ford#3.01.04 [https]Quarter (United States coin)Body HeighttrenditBODY-MASS INDEXFolkhälsovetenskap global hälsa socialmedicin och epidemiologikorkeusEpidemiology and Global HealthCancer incidenceCANCER INCIDENCEWEIGHT
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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
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Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection

2014

Item does not contain fulltext Cervical artery dissection (CeAD), a mural hematoma in a carotid or vertebral artery, is a major cause of ischemic stroke in young adults although relatively uncommon in the general population (incidence of 2.6/100,000 per year). Minor cervical traumas, infection, migraine and hypertension are putative risk factors, and inverse associations with obesity and hypercholesterolemia are described. No confirmed genetic susceptibility factors have been identified using candidate gene approaches. We performed genome-wide association studies (GWAS) in 1,393 CeAD cases and 14,416 controls. The rs9349379[G] allele (PHACTR1) was associated with lower CeAD risk (odds ratio…

Male[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/NeurobiologyMyocardial InfarctionGenome-wide association studyCarotid Artery Internal DissectionGastroenterologyepidemiology [Carotid Artery Internal Dissection]Brain Ischemia0302 clinical medicineMigraine DisorderOdds RatioFinlandVertebral Artery Dissection0303 health scienceseducation.field_of_studyepidemiology [Hypercholesterolemia]MESH: Middle AgedMESH: Polymorphism Single NucleotidePhactr-1 protein humanMESH: Brain IschemiaMESH: Follow-Up Studies3. Good healthMESH: Myocardial InfarctionHumanmedicine.medical_specialtyMigraine DisordersHypercholesterolemiaMESH: Vertebral Artery DissectionLower riskgenetics [Brain Ischemia]ArticleFollow-Up StudieMESH: Carotid Artery Internal Dissection03 medical and health sciencesGeneticSDG 3 - Good Health and Well-beinggenetics [Carotid Artery Internal Dissection]GeneticsGenetic predispositionepidemiology [Brain Ischemia]Humansepidemiology [Vertebral Artery Dissection]PolymorphismeducationAllelesMESH: Humansgenetics [Vertebral Artery Dissection]MESH: AdultOdds ratioMicrofilament Proteinmedicine.diseaseAdult; Brain Ischemia; Carotid Artery Internal Dissection; Female; Finland; Follow-Up Studies; Genetic Pleiotropy; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; Hypercholesterolemia; Hypertension; Male; Microfilament Proteins; Middle Aged; Migraine Disorders; Myocardial Infarction; Obesity; Odds Ratio; Risk Factors; Vertebral Artery Dissection; Alleles; Polymorphism Single NucleotideMESH: Genome-Wide Association StudyCarotid ArteryMESH: Female030217 neurology & neurosurgeryepidemiology [Finland]Cervical ArteryVertebral artery dissectionepidemiology [Hypertension]MESH: HypertensionRisk FactorsMESH: Risk FactorsMESH: ObesityStrokeAlleleGeneticsDissectionMESH: FinlandMicrofilament ProteinsMESH: Genetic Predisposition to DiseaseMESH: HypercholesterolemiaGenetic PleiotropySingle NucleotideMiddle AgedMESH: Migraine DisordersDisorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]epidemiology [Myocardial Infarction][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]HypertensionFemale[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAdultPopulationMESH: Genetic Pleiotropyphysiology [Microfilament Proteins]BiologyPolymorphism Single NucleotideMESH: Microfilament ProteinsInternal medicineddc:570medicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingGenetic Predisposition to DiseaseObesity030304 developmental biologyepidemiology [Obesity]Risk FactorMESH: Alleles[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]InternalMESH: Odds RatioMESH: Maleepidemiology [Migraine Disorders]genetics [Microfilament Proteins]Follow-Up StudiesGenome-Wide Association Study
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Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331…

2015

Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions.

Maleendocrine system diseasesEndocrinology Diabetes and Metabolismmedicine.medical_treatmentGlobal Health0302 clinical medicineEndocrinologyeducation.field_of_studyDiabetis//purl.org/pe-repo/ocde/ford#3.02.18 [https]Diabetes Mellitus/blood/diagnosis/epidemiologySciences bio-médicales et agricolesadultosensibilidad y especificidadhealth survey3. Good healthpriority journalCARDIOVASCULAR-DISEASEdiabetes mellitusmedicine.medical_specialtyglucosa sanguíneaSurvey samplingoral glucose tolerance test.Medical sciencesSensitivity and SpecificityArticleEndocrinology Diabetes and Metabolism; Internal Medicine; EndocrinologyEffects of diabetesHemoglobin A Glycosylated/metabolism03 medical and health sciencesfalse positive resultSDG 3 - Good Health and Well-beingDiabetes prevalenceDiabetes MellitusSYSTEMATIC ANALYSISHumanshumandiagnostic test accuracy studygross national productOLDER-ADULTSeducationprueba de tolerancia a la glucosaglycosylated hemoglobinHEMOGLOBIN A(1C) MEASUREMENTVLAGGlycated HemoglobinHemoglobin A GlycosylatedScience & TechnologyBlood Glucose/metabolismnutritional and metabolic diseasesGlucose Tolerance Testeconomic aspectmedicine.diseaseglucose blood levelGlucoseEndocrinologyagechemistryFaculdade de Ciências SociaisGlucosaGlobal surveillance of diabetesTOLERANCE TESTWORLDWIDE STANDARDIZATIONBiomarkersBiomedical sciencesBlood GlucoseSettore MED/09 - Medicina InternaNutrition and DiseasehumanosBiomarkers/metabolismInternal Medicine; Endocrinology Diabetes and Metabolism; Endocrinologygeographychemistry.chemical_compoundVoeding en ZiekteDiagnosisPrevalenceMedicine and Health Sciencesvigilancia centinela030212 general & internal medicinehemoglobin A1cUS POPULATIONDiabetes diagnosisGlucose tolerance testINSULIN-RESISTANCEmedicine.diagnostic_testResearch Support Non-U.S. Gov'tQDiabetesprevalenciaSCREENING-TESThealthArticlesGlucose bloodDiabetes and MetabolismincomePopulation-based health examination surveysFemaleLife Sciences & BiomedicineAdultPopulationpopulation groupCONSENSUS STATEMENT030209 endocrinology & metabolismGLYCATED HEMOGLOBINhigh income regionEndocrinology & MetabolismInsulin resistanceResearch Support N.I.H. ExtramuralbloodInternal medicineDiabetes mellitusparasitic diseasesJournal ArticlemedicineInternal MedicineLife Scienceddc:613business.industryInsulinbody massBiological markerFASTING PLASMA-GLUCOSECiencias socio biomédicasGlycated hemoglobinbusinessmetabolismSentinel Surveillance
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Les comportements alimentaires. Choix des consommateurs et politiques nutritionnelles

2012

Ouvrage édité d'après l’expertise scientifique collective réalisée par l’INRA à la demande du ministère de l’Alimentation, de l’Agriculture et de la Pêche en 2009.; National audience; Quels rôles jouent, par exemple, la sensation de faim, la composition des aliments, les normes sociales, l’éducation, le revenu, la publicité... dans le comportement des consommateurs ? Quels seraient les leviers d’action publique à utiliser pour que ces consommateurs adoptent les recommandations nutritionnelles favorables à leur maintien en bonne santé ? Cette expertise scientifique collective met à disposition des décideurs et du grand public les connaissances acquises sur ces questions dans des champs disci…

[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[SHS] Humanities and Social Sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering[SHS]Humanities and Social Sciences
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Association of vascular risk factors with cervical artery dissection and ischemic stroke in young adults.

2011

Background— Little is known about the risk factors for cervical artery dissection (CEAD), a major cause of ischemic stroke (IS) in young adults. Hypertension, diabetes mellitus, smoking, hypercholesterolemia, and obesity are important risk factors for IS. However, their specific role in CEAD is poorly investigated. Our aim was to compare the prevalence of vascular risk factors in CEAD patients versus referents and patients who suffered an IS of a cause other than CEAD (non-CEAD IS) in the multicenter Cervical Artery Dissection and Ischemic Stroke Patients (CADISP) study. Methods and Results— The study sample comprised 690 CEAD patients (mean age, 44.2±9.9 years; 43.9% women), 556 patients …

AdultMalemedicine.medical_specialtyobesityhypertensionCervical ArteryAnterior Spinal Artery SyndromeComorbidity030204 cardiovascular system & hematologyDiabetes Complications03 medical and health sciences0302 clinical medicineRisk FactorsRetrospective StudiePhysiology (medical)Diabetes mellitusInternal medicineDiabetes ComplicationPrevalence[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMedicineHumansRisk factor10. No inequalityStrokeRetrospective Studies2. Zero hunger[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaginghypercholesterolemiabusiness.industryVascular diseaseCerebral infarctionRisk FactorSmokingMiddle Agedmedicine.diseaseComorbiditystroke3. Good healthSurgerydissectionFemaleCardiology and Cardiovascular MedicinebusinessBody mass index030217 neurology & neurosurgeryHuman
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