0000000000091887

AUTHOR

Astrid Petersmann

showing 12 related works from this author

Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation

2016

Genome-wide study in Germans identifies four novel multiple sclerosis risk genes and confirms already known gene loci.

0301 basic medicineMaleDLEU1MedizinGenome-wide association studyEpigenesis GeneticCohort StudiesResearch ArticlesTranscriptional Regulator ERGGeneticsAged 80 and overGlycine Hydroxymethyltransferaseeducation.field_of_studyMultidisciplinaryDNA methylationSciAdv r-articlesMiddle AgedSHMT13. Good healthddc:DNA-Binding ProteinsERGDNA methylationFemaleMAZFunction and Dysfunction of the Nervous SystemResearch ArticleAdultAdolescentPopulationQuantitative Trait Loci610 Medicine & healthDleu1 ; Dna Methylation ; Erg ; L3mbtl3 ; Maz ; Multiple Sclerosis ; Shmt1 ; Genome-wide Association StudyQuantitative trait locusBiologyMajor histocompatibility complexNeurological DisordersMultiple sclerosis03 medical and health sciencesYoung AdultTranscriptional Regulator ERGHumansGenetic Predisposition to DiseaseL3MBTL3EpigeneticsAlleleeducationAllelesAgedgenome-wide association study030104 developmental biologyGenetic LociCase-Control Studiesbiology.proteinTranscription Factors
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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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A common biological basis of obesity and nicotine addiction

2013

Contains fulltext : 128630.pdf (Publisher’s version ) (Open Access) Smoking influences body weight such that smokers weigh less than non-smokers and smoking cessation often leads to weight increase. The relationship between body weight and smoking is partly explained by the effect of nicotine on appetite and metabolism. However, the brain reward system is involved in the control of the intake of both food and tobacco. We evaluated the effect of single-nucleotide polymorphisms (SNPs) affecting body mass index (BMI) on smoking behavior, and tested the 32 SNPs identified in a meta-analysis for association with two smoking phenotypes, smoking initiation (SI) and the number of cigarettes smoked …

obesityFOOD-INTAKETAG Consortiummedicine.medical_treatmentOxford-GSK ConsortiumLOCIIcelandAetiology screening and detection [ONCOL 5]VARIANTS3124 Neurology and psychiatryNicotine0302 clinical medicineDEPENDENCE030212 general & internal medicineAge of OnsetENGAGE consortiumPOPULATIONAddiction; Body Mass Index; Nicotine dependence; Smokingmedia_commonPsychiatry2. Zero hunger0303 health scienceseducation.field_of_studyASSOCIATIONTobacco Use DisorderDSM-VCANCER3142 Public health care science environmental and occupational health3. Good healthPsychiatry and Mental healthMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingOriginal ArticleaddictionLife Sciences & Biomedicinemedicine.drugmedicine.medical_specialtymedia_common.quotation_subjectPopulationbody mass indexPolymorphism Single Nucleotidesmoking03 medical and health sciencesCellular and Molecular NeuroscienceSDG 3 - Good Health and Well-beingInternal medicinemedicineHumansSMOKING-BEHAVIORnicotine dependencePsychiatryeducationBiological PsychiatryMolecular epidemiology Aetiology screening and detection [NCEBP 1]030304 developmental biologyScience & Technologybusiness.industryAddictionAppetitemedicine.diseaseObesityBODY-MASS INDEXBehavior AddictiveEndocrinologySmoking cessationbusinessBody mass indexTranslational Psychiatry
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Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

2012

Background— Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts. Methods and Results— Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fi…

Malegenetic associationGenome-wide association studyAetiology screening and detection [ONCOL 5]030204 cardiovascular system & hematologyBioinformaticsCohort Studies0302 clinical medicineRisk FactorsGenotypeCARDIOVASCULAR RISK-FACTORSInternational HapMap ProjectGenetics (clinical)POPULATIONGeneticsAged 80 and overPeripheral Vascular Diseases0303 health scienceseducation.field_of_studyAge FactorsMiddle AgedPhenotypeperipheral vascular diseaseMeta-analysiscardiovascular system/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingCORONARY-ARTERY-DISEASEFemaleCardiology and Cardiovascular MedicineChromosomes Human Pair 9AdultSUSCEPTIBILITY LOCIGenotypePopulationHapMap ProjectBiologyPolymorphism Single NucleotideArticleMolecular epidemiology [NCEBP 1]03 medical and health sciencesSex FactorsSDG 3 - Good Health and Well-beingGeneticscohort studyHumansAnkle Brachial Indexcardiovascular diseasesAlleleeducationHealth aging / healthy living Cardiovascular diseases [IGMD 5]AllelesMolecular epidemiology Aetiology screening and detection [NCEBP 1]030304 developmental biologyGenetic associationAgedCyclin-Dependent Kinase Inhibitor p15ABDOMINAL AORTIC-ANEURYSMcohort study ; genetic association ; genome-wide association study ; meta-analysis ; peripheral vascular diseasegenome-wide association studyMORTALITYChromosomeGENEmeta-analysisbody regionsLogistic ModelsMYOCARDIAL-INFARCTIONATHEROSCLEROSISSEQUENCE VARIANThuman activities
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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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Meta-analysis and imputation refines the association of 15q25 with smoking quantity.

2010

Smoking is a leading global cause of disease and mortality(1). We established the Oxford-GlaxoSmithKline study (Ox-GSK) to perform a genome-wide meta-analysis of SNP association with smoking-related behavioral traits. Our final data set included 41,150 individuals drawn from 20 disease, population and control cohorts. Our analysis confirmed an effect on smoking quantity at a locus on 15q25 (P = 9.45 x 10(-19)) that includes CHRNA5, CHRNA3 and CHRNB4, three genes encoding neuronal nicotinic acetylcholine receptor subunits. We used data from the 1000 Genomes project to investigate the region using imputation, which allowed for analysis of virtually all common SNPs in the region and offered a …

Genetics0303 health scienceseducation.field_of_study/dk/atira/pure/subjectarea/asjc/1300/1311PopulationSingle-nucleotide polymorphismGenome-wide association studyLocus (genetics)BiologyArticle3. Good health03 medical and health sciences0302 clinical medicineGenome-Wide Association; Nicotine Dependence; Lung-Cancer; Susceptibility Locus; Risk-Factors; Disease; Genes; SNPS; Colaus StudyGeneticsSNP1000 Genomes ProjectAlleleeducation030217 neurology & neurosurgeryImputation (genetics)genome-wide association study; smoking initiation; smoking quantity030304 developmental biologyNature genetics
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Troponin I and cardiovascular risk prediction in the general population: the BiomarCaRE consortium

2016

AIMS: Our aims were to evaluate the distribution of troponin I concentrations in population cohorts across Europe, to characterize the association with cardiovascular outcomes, to determine the predictive value beyond the variables used in the ESC SCORE, to test a potentially clinically relevant cut-off value, and to evaluate the improved eligibility for statin therapy based on elevated troponin I concentrations retrospectively.METHODS AND RESULTS: Based on the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project, we analysed individual level data from 10 prospective population-based studies including 74 738 participants. We investigated the value of adding troponin …

Relative risk reductionPathologymedicine.medical_specialtyBIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICAPopulationBiomarker For Cardiovascular Risk Assessment In Europe ; Cardiovascular Risk ; High-sensitivity Assayed Troponin I ; Monica Risk Genetics Archiving And Monograph ; Mortality030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingInternal medicineTroponin IMedicineRosuvastatin030212 general & internal medicineMortalityeducationBiomarker for Cardiovascular Risk Assessment in Europe; Cardiovascular risk; High-sensitivity assayed troponin I; MONICA Risk Genetics Archiving and Monograph; Mortalityeducation.field_of_studyFramingham Risk Scorebiologybusiness.industryHazard ratioAbsolute risk reductionBiomarker for Cardiovascular Risk Assessment in EuropeCardiovascular riskMONICA Risk Genetics Archiving and MonographTroponinHigh-sensitivity assayed troponin I3. Good healthCardiologybiology.protein/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingCardiology and Cardiovascular Medicinebusinessmedicine.drugEuropean Heart Journal
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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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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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