0000000001279878

AUTHOR

Alun Evans

showing 16 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
researchProduct

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
researchProduct

The relationship between adipokines and the onset of type 2 diabetes in middle-aged men: The PRIME study

2016

Abstract Aims Epidemiological evidence suggests that adipokines may be associated with the onset of type 2 diabetes, but the evidence to date is limited and inconclusive. This study examined the association between adiponectin and leptin and the subsequent diagnosis of type 2 diabetes in a UK population based cohort of non-diabetic middle-aged men. Methods Baseline serum levels of leptin and adiponectin were measured in 1839 non-diabetic men aged 50–60 years who were participating in the prospective population-based PRIME study. Over a mean follow-up of 14.7 years, new cases of type 2 diabetes were determined from self-reported clinical information with subsequent validation by general prac…

LeptinMalemedicine.medical_specialtyEndocrinology Diabetes and MetabolismPopulationAdipokine030209 endocrinology & metabolismType 2 diabetes030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineEndocrinologyWaist–hip ratioSDG 3 - Good Health and Well-beingRisk FactorsDiabetes mellitusInternal medicineInternal MedicineHumansMedicineProspective StudieseducationProspective cohort studyProportional Hazards Modelseducation.field_of_studyAdiponectinbusiness.industryIncidenceHazard ratioGeneral MedicineMiddle Agedmedicine.diseaseUnited KingdomC-Reactive ProteinEndocrinologyDiabetes Mellitus Type 2/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingAdiponectinbusinessBiomarkersDiabetes Research and Clinical Practice
researchProduct

Large-scale association analysis identifies new risk loci for coronary artery disease

2016

Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r 2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes …

AdultAsian Continental Ancestry GroupMaleCandidate geneBIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICAPopulationEuropean Continental Ancestry GroupQuantitative Trait LociCADGenome-wide association studySingle-nucleotide polymorphismCoronary Artery Disease030204 cardiovascular system & hematologyBiologyQuantitative trait locusBioinformaticsPolymorphism Single NucleotideArticleWhite Peoplecoronary artery disease risk lociCell LineCoronary artery disease03 medical and health sciences0302 clinical medicineAsian PeopleRisk FactorsmedicineHumansgeneticsGene Regulatory NetworksGenetic Predisposition to Diseasecardiovascular diseasesPolymorphismeducation030304 developmental biologyGenetic associationAgedGenetics0303 health scienceseducation.field_of_studyAdult Aged Asian Continental Ancestry Group Cell Line Coronary Artery Disease; genetics European Continental Ancestry Group; genetics Female Gene Regulatory Networks Genetic Predisposition to Disease Genome-Wide Association Study Humans Male Middle Aged Polymorphism; Single Nucleotide Quantitative Trait Loci Risk FactorsSingle NucleotideMiddle Agedmedicine.disease3. Good healthFemaleGenome-Wide Association StudyNature Genetics
researchProduct

Thirty-one novel biomarkers as predictors for clinically incident diabetes.

2010

Background The prevalence of diabetes is increasing in all industrialized countries and its prevention has become a public health priority. However, the predictors of diabetes risk are insufficiently understood. We evaluated, whether 31 novel biomarkers could help to predict the risk of incident diabetes. Methods and Findings The biomarkers were evaluated primarily in the FINRISK97 cohort (n = 7,827; 417 cases of clinically incident diabetes during the follow-up). The findings were replicated in the Health 2000 cohort (n = 4,977; 179 cases of clinically incident diabetes during the follow-up). We used Cox proportional hazards models to calculate the relative risk of diabetes, after adjustin…

AdultMaleRiskmedicine.medical_specialtyDiabetes riskPublic Health and Epidemiologylcsh:Medicine030209 endocrinology & metabolism030204 cardiovascular system & hematologyCohort Studies03 medical and health sciences0302 clinical medicineSex FactorsPredictive Value of TestsDiabetes mellitusInternal medicinemedicineDiabetes MellitusHumansCardiovascular Disorders/Vascular Biologylcsh:ScienceAgedApolipoproteins BProportional Hazards ModelsMultidisciplinaryAdiponectinbiologyProportional hazards modelbusiness.industrylcsh:RC-reactive proteinMiddle Agedmedicine.disease3. Good healthDiabetes and EndocrinologyC-Reactive ProteinROC CurveRelative riskImmunologyCohortFerritinsbiology.proteinlcsh:QFemaleAdiponectinbusinessBiomarkersCohort studyResearch ArticlePloS one
researchProduct

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
researchProduct

Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium

2016

Background Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting. Methods We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10−6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up. Res…

Male0301 basic medicineOncologyPREDICTIONMyocardial Infarctionlcsh:MedicineGenome-wide association studyCoronary Artery DiseaseCardiovascular MedicineSUSCEPTIBILITY030204 cardiovascular system & hematologyCardiovascularBioinformaticsincident myocardial infarctionCohort StudiesCoronary artery diseaseMathematical and Statistical Techniques0302 clinical medicineDESIGNMedicine and Health Sciences2.1 Biological and endogenous factorsProspective StudiesMyocardial infarctionAetiologyCooperative Behaviorlcsh:ScienceProspective cohort studyRISKscreening and diagnosisMultidisciplinaryResearch Support Non-U.S. Gov'tSingle NucleotideGenomicsMiddle Aged3. Good healthMultidisciplinary SciencesDetectionCHROMOSOME 9P21Heart DiseaseResearch DesignCardiovascular DiseasesCARDIOVASCULAR-DISEASEPhysical SciencesScience & Technology - Other TopicsFemaleStatistics (Mathematics)4.2 Evaluation of markers and technologiesResearch ArticleCohort studymedicine.medical_specialtyGeneral Science & TechnologyCardiologySingle-nucleotide polymorphismResearch and Analysis MethodsGenome ComplexityPolymorphism Single Nucleotide03 medical and health sciencescoronary hearth diseaseInternal medicineMD MultidisciplinaryGenome-Wide Association StudiesGeneticsJournal ArticlemedicineHumansSNPGenetic Predisposition to DiseasePolymorphismStatistical MethodsHeart Disease - Coronary Heart DiseaseMETAANALYSISAgedGenetic associationta112Science & Technologybusiness.industryPreventionlcsh:RHuman GenomeBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisROTTERDAMmedicine.diseaseIntronsGood Health and Well Being030104 developmental biologyGenetic LociGenetics of Diseaselcsh:Q3111 BiomedicinebusinessMathematicsMeta-AnalysisGenome-Wide Association StudyPLOS ONE
researchProduct

A multiple biomarker risk score for guiding clinical decisions using a decision curve approach.

2011

Aims: We assessed whether a cardiovascular risk model based on classic risk factors (e.g. cholesterol, blood pressure) could refine disease prediction if it included novel biomarkers (C-reactive protein, N-terminal pro-B-type natriuretic peptide, troponin I) using a decision curve approach which can incorporate clinical consequences. Methods and results: We evaluated whether a model including biomarkers and classic risk factors could improve prediction of 10 year risk of cardiovascular disease (CVD; chronic heart disease and ischaemic stroke) against a classic risk factor model using a decision curve approach in two prospective MORGAM cohorts. This included 7739 men and women with 457 CVD …

AdultMalemedicine.medical_specialtyEpidemiologymedicine.drug_classBlood PressureDiseaseRisk AssessmentDecision Support TechniquesSex FactorsPredictive Value of TestsRisk FactorsInternal medicineTroponin INatriuretic Peptide BrainmedicineNatriuretic peptideHumansRisk thresholdProspective StudiesFramingham Risk Scorebusiness.industryTroponin IAge FactorsMiddle AgedPrognosisPeptide FragmentsSurgeryEuropeBlood pressureC-Reactive ProteinCholesterolCardiovascular DiseasesCohortBiomarker (medicine)FemaleCardiology and Cardiovascular MedicinebusinessBiomarkersEuropean journal of preventive cardiology
researchProduct

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
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

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
researchProduct

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
researchProduct

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
researchProduct

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
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

Haplotypes of the caspase-1 gene, plasma caspase-1 levels, and cardiovascular risk.

2006

Caspase-1 processes the interleukin (IL)-1β and IL-18 inactive precursors to the biologically active cytokines that are known to have proatherogenic effects. The present study investigated the genetic variability of the CASP1 gene and plasma levels of caspase-1 in relation to cardiovascular risk. In Europeans, 3 tag SNPs captured 4 common haplotypes of the CASP1 gene. Among these, the A in6 allele of the G+7/in6A polymorphism was less frequent in 246 cases with myocardial infarction and a parental history of disease than in 253 controls free of familial history of disease (0.13±0.02 versus 0.20±0.02; P =0.005). However, in a larger case/control study (n=1774), these effects are borderline …

AdultMale/dk/atira/pure/subjectarea/asjc/1300/1314medicine.medical_specialtyPathologyGenotypePhysiologyPopulationMyocardial Infarction/dk/atira/pure/subjectarea/asjc/2700/2705Single-nucleotide polymorphismCoronary Artery DiseaseBiologyPolymorphism Single NucleotideRisk AssessmentCoronary artery diseaseCohort StudiesGene FrequencyPolymorphism (computer science)Internal medicinemedicineHumansGenetic Predisposition to DiseaseProspective StudiesAlleleeducationProspective cohort studyAgededucation.field_of_studyVascular diseaseHazard ratioCaspase 1Interleukin-18Genetic VariationMiddle Agedmedicine.diseaseEndocrinologyHaplotypesCardiovascular DiseasesCase-Control StudiesFemaleCardiology and Cardiovascular MedicineFollow-Up StudiesCirculation research
researchProduct