0000000001105839

AUTHOR

Young-ho Khang

showing 23 related works from this author

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systema…

2020

Publisher's version (útgefin grein)

Index (economics)Servicios de SaludSUSTAINABLE DEVELOPMENT GOALS030204 cardiovascular system & hematologyuniversal health coverage; sustaibale develpment goal; global burden of disease; performance;universal health coveragesystematic analysisGlobal Burden of Disease0302 clinical medicineUniversal Health InsuranceRA042111. SustainabilityPer capitaMedical economicsDisease030212 general & internal medicine10. No inequality11 Medical and Health Scienceseffective coverage of health servicesGBD 2019 Universal Health Coverage Collaboratorseducation.field_of_studyPublic healthMedical careSjúkdómar4. Education1. No povertyHealth coveragePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineHälsovetenskaper3142 Public health care science environmental and occupational healthHealth services3. Good healthGlobal burden of diseaseGlobal Burden of Disease; Health Expenditures; Humans; Universal Health Insurance; World Health OrganizationPurchasing power parityScale (social sciences)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsauniversal health coveragCANCER SURVIVALACCESSperformanceHumanHeilsuhagfræðimedicine.medical_specialtyHealth coverage GBDGBDUniversal healthGBD 2019Population2019Health expenditures3122 CancersPopulation healthWorld Health Organization03 medical and health sciencesHealth systemsHeilbrigðisvísindiSDG 3 - Good Health and Well-beingGeneral & Internal MedicineDevelopment economicsHealth SciencesmedicineHeilbrigðisstefnasustaibale develpment goalAlþjóðaheilbrigðisstofnuninHumansQUALITYGlobal Burden of Disease StudyeducationPROGRESSDisease burdenPublic healthHealth services accessibilityCAREHeilbrigðisþjónusta//purl.org/pe-repo/ocde/ford#3.02.00 [https]Health ExpenditureFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineMorbilityAdministración de los Servicios de SaludMedical policyBusinessHealth ExpendituresHeilbrigðiskerfi
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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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Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study…

2014

BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basi…

PediatricsTime FactorsNutrition and Diseasehiv-infectionimmunodeficiency virus-1 infectionperipartum cardiomyopathyPoison controlHIV InfectionsIMMUNODEFICIENCY VIRUS-1 INFECTIONSocioeconomic FactorGlobal Health0302 clinical medicinePERIPARTUM CARDIOMYOPATHYpregnancy-related mortalityRisk FactorsPregnancyVoeding en ZiekteCause of DeathGlobal healthHIV Infection030212 general & internal medicinePregnancy Complications Infectious10. No inequalityCause of death030219 obstetrics & reproductive medicinesouth-africaMedicine (all)1. No povertyWOMENPREGNANCY-RELATED MORTALITYhealth initiativesGeneral MedicineSOUTH-AFRICA3. Good healthMaternal MortalityWorld HealthCHILD SURVIVALFemaleMaternal deathwomenHumanmedicine.medical_specialtyTime FactorDEATHSchild survivalArticleadult mortality03 medical and health sciencesAge DistributionHEALTH INITIATIVESSDG 3 - Good Health and Well-beingHIV-INFECTIONADULT MORTALITYInjury preventionmedicineOrganizational ObjectivesOrganizational ObjectiveHumansVLAGPregnancyModels Statisticalbusiness.industryRisk Factormedicine.diseasedeathsStandardized mortality ratioSocioeconomic FactorsRelative riskPregnancy Complications InfectioubusinessDemography
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Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 3…

2017

Importance: Cancer is the second leading cause of death worldwide. Current estimates on the burden of cancer are needed for cancer control planning.Objective: To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 32 cancers in 195 countries and territories from 1990 to 2015.Evidence Review: Cancer mortality was estimated using vital registration system data, cancer registry incidence data (transformed to mortality estimates using separately estimated mortality to incidence [MI] ratios), and verbal autopsy data. Cancer incidence was calculated by dividing mortality estimates through the modeled MI ratio…

0301 basic medicineGerontologyCancer ResearchPopulationArticle03 medical and health sciences0302 clinical medicineBreast cancerGlobal healthcancerMedicineDisability-adjusted life yeareducationDisease burdeneducation.field_of_studyestimate mortalityCancer preventioncancer preventionbusiness.industryMortality rate1. No povertymedicine.disease3. Good health030104 developmental biologyYears of potential life lostOncology030220 oncology & carcinogenesisbusinessearly diagnosisDemography
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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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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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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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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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Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysi…

2016

BACKGROUND: Established in 2000, Millennium Development Goal 4 (MDG4) catalysed extraordinary political, financial, and social commitments to reduce under-5 mortality by two-thirds between 1990 and 2015. At the country level, the pace of progress in improving child survival has varied markedly, highlighting a crucial need to further examine potential drivers of accelerated or slowed decreases in child mortality. The Global Burden of Disease 2015 Study (GBD 2015) provides an analytical framework to comprehensively assess these trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time. METHODS: Drawing from ana…

PediatricsNutrition and DiseaseGlobal HealthCommunicable Disease0302 clinical medicineVoeding en ZiekteInfant MortalityCompensation law of mortalityGlobal healthMedicineLIFE EXPECTANCY030212 general & internal medicineDEVELOPING-COUNTRIES10. No inequalityMedicine(all)NEWBORN BABIESMedicine (all)Mortality rate1. No povertyDEATHPublic Health Global Health Social Medicine and EpidemiologyGeneral Medicine11 Medical And Health SciencesStillbirth3. Good healthChild MortalitySURVIVALCHILD-MORTALITYHEALTHLife Sciences & BiomedicineDEVELOPMENT GOAL 4HumanINTERVENTIONSmedicine.medical_specialtyRJINTEGRATED APPROACHDeveloping country610Communicable Diseasesneonatal03 medical and health sciencesMedicine General & Internal030225 pediatricsGeneral & Internal MedicineLife ScienceHumansGlobal Burden of Disease StudyVLAGEstimationScience & Technologybusiness.industryKlinisk medicinInfantGBD 2015 Child Mortality CollaboratorsInfant mortalityMalariaChild mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiLife expectancyClinical MedicineRGbusinessDemography
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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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Global Mortality From Firearms, 1990-2016

2018

IMPORTANCE: Understanding global variation in firearm mortality rates could guide prevention policies and interventions. OBJECTIVE: To estimate mortality due to firearm injury deaths from 1990 to 2016 in 195 countries and territories. DESIGN, SETTING, AND PARTICIPANTS: This study used deidentified aggregated data including 13 812 location-years of vital registration data to generate estimates of levels and rates of death by age-sex-year-location. The proportion of suicides in which a firearm was the lethal means was combined with an estimate of per capita gun ownership in a revised proxy measure used to evaluate the relationship between availability or access to firearms and firearm injury …

MaleGlobal Health01 natural sciences0302 clinical medicineFirearm injuryArmas de FuegoHomicideGlobal healthMedicine030212 general & internal medicineYoung adultChildAged 80 and overMortality rateArmes de foc11 Medical And Health SciencesGeneral MedicineMiddle Aged16. Peace & justiceFirearm suicideSuicideGun ownershipChild PreschoolViolenciaFemaleHomicideAdultFirearmsAdolescentUncertainty intervalViolenceYoung Adult03 medical and health sciencesAge DistributionGeneral & Internal MedicineMortalitatHumansVital registrationSuicidioSex Distribution0101 mathematicsMortalityAgedbusiness.industry010102 general mathematicsInfant NewbornInfantHeridas por Arma de FuegoHomicidioMortalidadWounds GunshotHuman medicinebusinessDemographyJAMA - Journal of the American Medical Association
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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countr…

2015

Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic develo…

GerontologyMaleCHANGING RELATIONNutrition and DiseaseMESH : Life ExpectancyMESH : AgedECONOMIC-DEVELOPMENTPoison controlMESH: Global HealthGlobal HealthSocioeconomic FactorCommunicable DiseaseMESH : Chronic DiseaseHealth TransitionVoeding en ZiekteQuality-Adjusted Life YearSELF-RATED HEALTHMESH : Socioeconomic FactorsMedicineMESH : FemaleMESH: Mortality Premature2. Zero hungerMESH: Agededucation.field_of_studyMESH: Middle AgedMortality rateMedicine (all)GBD2013 diseases[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieGeneral MedicineMiddle Aged3. Good healthMESH : Wounds and InjuriesEpidemiological transitionMESH: Quality-Adjusted Life YearsMESH: Communicable DiseasesNONCOMMUNICABLE DISEASESFemaleQuality-Adjusted Life YearsMESH: Life ExpectancyMESH: Health TransitionHumanMESH: Socioeconomic FactorsACUTE MYOCARDIAL-INFARCTIONMESH : MaleMORTALITY TRENDSPopulationMESH : Health TransitionCommunicable DiseasesArticleLife ExpectancyEUROPEAN-UNIONSDG 3 - Good Health and Well-beingGeneral & Internal MedicineSYSTEMATIC ANALYSISDisability-adjusted life yearHumansLife ScienceMESH : Middle AgedMortalityeducationPrematureMESH : Mortality PrematureVLAGAgedMESH: Humansbusiness.industryMortality PrematureMESH: Chronic DiseaseMESH : Communicable DiseasesWounds and InjurieMESH : HumansMESH : Quality-Adjusted Life YearsNon-communicable diseaseAged; Chronic Disease; Communicable Diseases; Female; Global Health; Humans; Male; Middle Aged; Mortality Premature; Quality-Adjusted Life Years; Socioeconomic Factors; Wounds and Injuries; Health Transition; Life Expectancy; Medicine (all)medicine.diseaseMESH: MaleLOW SOCIOECONOMIC-STATUSYears of potential life lostSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: Wounds and InjuriesChronic DiseaseLife expectancyRISK-FACTORSMESH : Global HealthWounds and Injuries[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleDemographyLancet
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Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

2019

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained ra…

SurvivalRJ101Mortalidad InfantilHBUNDER-5 MORTALITYGlobal HealthPediatrics0302 clinical medicine3123 Gynaecology and paediatricsChild deathInfant MortalityEpidemiologyGlobal healthMiddle income countryNacimiento vivo030212 general & internal medicine10. No inequalityChildPOPULATIONDeveloping worldeducation.field_of_studyPublic healthMultidisciplinaryGeographyMortality ratewa_9001. No povertyRSUCCESSPediatrikA900 Others in Medicine and Dentistry3142 Public health care science environmental and occupational health3. Good healthChild MortalityDeath childrenVACCINATIONHEALTHws_100INTERVENTIONSAFRICAmedicine.medical_specialtyUnited NationsGeneral Science & Technology030231 tropical medicinePopulationDeveloping countryArticleHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]ITC-HYBRID03 medical and health sciencesAll institutes and research themes of the Radboud University Medical CenterSocial JusticeRecién nacidoNeonatal deathsmedicineSYSTEMATIC ANALYSISOrganizational ObjectivesHumanseducationDeveloping Countriesbusiness.industryPublic healthInfant NewbornInfantCIVIL REGISTRATIONPaediatricsChild survivalNewbornPREVENTIONMortality rateInfant mortalitywa_320ws_200Child mortalitySocioeconomic FactorsITC-ISI-JOURNAL-ARTICLEHuman medicinePaediatrics Public health Developing worldbusinessDemography
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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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Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

2016

BACKGROUND: In transitioning from the Millennium Development Goal to the Sustainable Development Goal era, it is imperative to comprehensively assess progress toward reducing maternal mortality to identify areas of success, remaining challenges, and frame policy discussions. We aimed to quantify maternal mortality throughout the world by underlying cause and age from 1990 to 2015.METHODS: We estimated maternal mortality at the global, regional, and national levels from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories, 11 of which were analysed at the subnational level. We quantified eight underl…

0301 basic medicinePediatricsNutrition and DiseaseMILLENNIUM DEVELOPMENT GOALSSUSTAINABLE DEVELOPMENT GOALSANTENATAL CAREGlobal Health0302 clinical medicineVoeding en Ziekte11. SustainabilityGlobal healthHQHealthcare FinancingEMERGENCY OBSTETRIC CARE030212 general & internal medicineCooperative Behavior10. No inequalityReproductive healthMedicine(all)education.field_of_study030219 obstetrics & reproductive medicineMedicine (all)1. No povertyObstetrics and GynecologyPublic Health Global Health Social Medicine and EpidemiologyPrenatal CareGeneral Medicine11 Medical And Health SciencesLOW-RESOURCE SETTINGS3142 Public health care science environmental and occupational healthFamily Planning Service3. Good healthGBD 2015 Maternal Mortality CollaboratorsGovernment ProgramsMaternal MortalityReproductive HealthFamily Planning ServicesMaternal deathHEALTHLife Sciences & BiomedicineHumanCOUNTRIESmedicine.medical_specialtyPopulation610Prenatal careArticle03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingCASH TRANSFER PROGRAMEnvironmental healthGeneral & Internal Medicineparasitic diseasesmedicineLife ScienceQUALITYHumansGlobal Burden of Disease StudyeducationVLAGScience & TechnologyMedical Assistancebusiness.industryKlinisk medicinParturitionObstetric transitionmedicine.diseaseQPInfant mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiStandardized mortality ratio030104 developmental biologyRISK-FACTORSRGClinical MedicinebusinessRA
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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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Health effects of overweight and obesity in 195 countries over 25 years

2017

Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adult…

MaleGerontologyPediatric ObesityobesityVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803global healthDiseaseOverweightGlobal HealthVDP::Social science: 200::Demography: 300DISEASEVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineRA0421PandemicPrevalenceadultsGlobal health030212 general & internal medicineChildhumansALL-CAUSE MORTALITYchildadult1. No povertypediatric obesity/epidemiology11 Medical And Health SciencesGeneral MedicineCANCER3. Good healthfemaleVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803Cardiovascular DiseasesCohortFemalemedicine.symptomLife Sciences & BiomedicineobesitatResearch ArticleAdultprevalenceoverweight/complications/epidemiologyWEIGHT-LOSS030209 endocrinology & metabolismKNEE OSTEOARTHRITISVDP::Samfunnsvitenskap: 200::Demografi: 300VDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencescardiovascular diseases/complications/mortalityMedicine General & InternalchildrenmaleGeneral & Internal MedicineEnvironmental healthmedicineHumansoverweightCOHORTObesityDisease burdenMETAANALYSISScience & TechnologyGBD 2015 Obesity Collaboratorsbusiness.industryADULTSOverweightmedicine.diseaseObesityPREVENTIONBODY-MASS INDEXCross-Sectional StudiesbusinessBody mass indexobesity/complications/*epidemiology
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for …

2015

Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included…

MaleAgingPediatricsNutrition and DiseaseDatabases FactualDisease030204 cardiovascular system & hematologyGlobal HealthMedical and Health SciencesDOUBLE-BLIND0302 clinical medicineAdolescent; Adult; Aged; Aged 80 and over; Cause of Death; Child; Child Mortality; Child Preschool; Databases Factual; Female; Global Health; Humans; Infant; Infant Newborn; Life Expectancy; Life Tables; Male; Middle Aged; Models Statistical; Mortality; Sex Distribution; Young AdultModelsVoeding en ZiekteCause of DeathEpidemiologyGlobal health80 and over2.2 Factors relating to the physical environmentLife Tables030212 general & internal medicineAetiologyChildINFLUENZAE TYPE-B11 Medical and Health SciencesCause of deathPediatricAged 80 and overPLACEBO-CONTROLLED-TRIALLife TableMortality rateMedicine (all)1. No povertyGeneral MedicineCHILDHOOD PNEUMONIAMiddle AgedStatistical3. Good healthInfectious DiseasesChild PreschoolPNEUMOCOCCAL CONJUGATE VACCINEChild MortalityFemaleInfectionLife Sciences & BiomedicineHumanAdultmedicine.medical_specialtyAdolescentINTEGRATED APPROACHCHILDREN YOUNGER187 COUNTRIESDatabase03 medical and health sciencesDatabasesYoung AdultMedicine General & InternalLife ExpectancyGeneral & Internal MedicinemedicineLife ScienceHumansMortalitySex DistributionPreschoolFactualVLAGAgedScience & TechnologyModels Statisticalbusiness.industryPreventionPOPULATION HEALTHInfant NewbornENTERIC MULTICENTERInfantGBD 2013 Mortality and Causes of Death CollaboratorsNewbornVerbal autopsyChild mortalityGood Health and Well BeingLife expectancyRISK-FACTORSbusiness2.4 Surveillance and distributionDemographyModel
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Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990-2015

2017

IMPORTANCE Elevated systolic blood (SBP) pressure is a leading global health risk. Quantifying the levels of SBP is important to guide prevention policies and interventions. OBJECTIVE To estimate the association between SBP of at least 110 to 115 mm Hg and SBP of 140 mm Hg or higher and the burden of different causes of death and disability by age and sex for 195 countries and territories, 1990-2015. DESIGN A comparative risk assessment of health loss related to SBP. Estimated distribution of SBP was based on 844 studies from 154 countries (published 1980-2015) of 8.69 million participants. Spatiotemporal Gaussian process regression was used to generate estimates of mean SBP and adjusted va…

MalePediatricsMyocardial IschemiaNormal DistributionPROGRESSIONBlood Pressure030204 cardiovascular system & hematologyGlobal Health0302 clinical medicineCause of DeathPrevalence030212 general & internal medicineStrokeCause of deathAged 80 and overMortality rateUncertaintyGeneral Medicine11 Medical And Health SciencesMiddle AgedStrokeCARDIOVASCULAR-DISEASEHypertensionCardiologyBlood pressureHipertensióFemaleQuality-Adjusted Life YearsARTERIAL STIFFNESSLife Sciences & BiomedicineIntracranial HemorrhagesMonte Carlo MethodAdultmedicine.medical_specialtySystolePressió sanguíniaRisk Assessment03 medical and health sciencesMedicine General & InternalAGEAge DistributionInternal medicineGeneral & Internal MedicinemedicineDisability-adjusted life yearHumansCORONARY-HEART-DISEASESystoleRenal Insufficiency ChronicSex DistributionMETAANALYSISAgedScience & Technologybusiness.industryMORTALITYKIDNEY-DISEASEmedicine.diseaseHealth SurveysQuality-adjusted life yearBlood pressureArterial stiffnessRISK-FACTORSbusiness
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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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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risk…

2015

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2…

MaleFine particulate matterNutrition and DiseaseMESH : SanitationHealth BehaviorDiseasesMESH: Metabolic DiseasesMESH: Global Health030204 cardiovascular system & hematologyMESH: Risk AssessmentGlobal HealthMESH : Nutritional StatusMESH: Occupational Exposure0302 clinical medicineUnsafe SexMESH: Risk FactorsRisk FactorsVoeding en ZiekteMedicineAir-pollutionMESH : Female030212 general & internal medicineMESH : Risk AssessmentSanitationWasting2. Zero hungerFactors de risc en les malaltiesMedicine (all)[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMESH : Occupational DiseasesMESH: Nutritional StatusAll-cause mortalityMESH : Risk FactorshumanitiesEnvironmental Exposure; Female; Global Health; Health Behavior; Humans; Male; Metabolic Diseases; Nutritional Status; Occupational Diseases; Occupational Exposure; Risk Assessment; Risk Factors; Sanitation; Medicine (all)Tobacco smoking3. Good healthOccupational DiseasesNutritional StatuMESH : Occupational ExposureMESH : Metabolic DiseasesCohortFemalemedicine.symptomRisk assessmentBlood-pressureHumanMESH: Occupational DiseasesRisk factors in diseasesCoronary-heart-diseaseMESH : MaleMESH: Health BehaviorMESH: Environmental ExposureNutritional StatusPopulation healthBody-mass indexRisk Assessment03 medical and health sciencesHousehold cookingMetabolic DiseasesCardiovascular-diseaseEnvironmental healthGeneral & Internal MedicineOccupational Exposureparasitic diseasesLife ScienceMESH: SanitationHumansRisk factorMESH : Health BehaviorVLAGGBD2013MESH: Humansbusiness.industryRisk FactorGlobal Burden of Disease Study; 79 behavioural environmental and occupational and metabolic risksLong-term exposureMESH : HumansCAUSE-SPECIFIC MORTALITYEnvironmental ExposureMESH: MaleMetabolic DiseaseOccupational DiseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMALE BRITISH DOCTORSYears of potential life lostRelative riskMalaltiesMESH : Global HealthOUTDOOR AIR-POLLUTION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH : Environmental ExposureMESH: FemaleLancet
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