Search results for "Systematic analysis"

showing 10 items of 30 documents

May Measurement Month 2018: a pragmatic global screening campaign to raise awareness of blood pressure by the International Society of Hypertension.

2019

Abstract Aims Raised blood pressure (BP) is the biggest contributor to mortality and disease burden worldwide and fewer than half of those with hypertension are aware of it. May Measurement Month (MMM) is a global campaign set up in 2017, to raise awareness of high BP and as a pragmatic solution to a lack of formal screening worldwide. The 2018 campaign was expanded, aiming to include more participants and countries. Methods and results Eighty-nine countries participated in MMM 2018. Volunteers (≥18 years) were recruited through opportunistic sampling at a variety of screening sites. Each participant had three BP measurements and completed a questionnaire on demographic, lifestyle, and envi…

MaleCardiac & Cardiovascular SystemsCross-sectional studyBlood Pressure030204 cardiovascular system & hematologyGlobal Burden of Disease0302 clinical medicineSurveys and QuestionnairesMMM InvestigatorsMass Screening030212 general & internal medicine1102 Cardiorespiratory Medicine and HaematologyAntihypertensive medicationRISKGlobalAwarenessMiddle AgedPREVALENCEHypertensionBlood pressureScreeningRaised blood pressureFemaleCardiology and Cardiovascular MedicineBURDENLife Sciences & BiomedicineControl; GlobalAdultmedicine.medical_specialtyFast Track Clinical ResearchOpportunistic Sampling03 medical and health sciencesInternal medicineControlmedicineSYSTEMATIC ANALYSISMANAGEMENTHumansMass screeningDisease burdenAntihypertensive AgentsScience & Technologybusiness.industryCase-control studyBlood Pressure DeterminationTreatmentEditor's ChoiceBlood pressureRAMADANCross-Sectional StudiesCardiovascular System & HematologyCase-Control StudiesCardiovascular System & CardiologybusinessHypertension Blood pressure Screening Global Treatment ControlEuropean heart journal
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The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019

2022

Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 20…

MaleDEATHSDALY cancer risk factorsMedizinsystematic analysisGlobal HealthRisk AssessmentCancer preventionGlobal Burden of DiseaseRC0254Risk-attributable cancer deathsSDG 3 - Good Health and Well-beingRA0421Risk FactorsRA0421 Public health. Hygiene. Preventive MedicineQuality-Adjusted Life YearNeoplasmscancerHumansGlobal Burden of Disease StudyUKMedicine(all)MCCRC0254 Neoplasms. Tumors. Oncology (including Cancer)Risk FactorSmokingCOVID-193rd-DASGeneral MedicineDisability-adjusted life-yearsSOCIAL DETERMINANTSRisk assessmentsrisk factorCardiovascular and Metabolic Diseases3121 General medicine internal medicine and other clinical medicineOBESITYCancer burden/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNeoplasmFemaleLIFE-STYLEQuality-Adjusted Life YearsHEALTHRAHumanRC
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Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representat…

2021

Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prev…

MaleLatin AmericansNutrition and DiseaseEpidemiology[SDV]Life Sciences [q-bio]MedizinBLOOD-PRESSURE030204 cardiovascular system & hematologyWorldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants.Hypertension ; Prevalence ; Control ; TretamentGUIDELINESGlobal HealthWorldwide trends0302 clinical medicineHypertension prevalenceVoeding en ZiekteMedicine and Health Scienceskohonnut verenpainePrevalenceMedicine030212 general & internal medicinePrevention and Control11 Medical and Health SciencesComputingMilieux_MISCELLANEOUSHypertension prevalenceeducation.field_of_studyfood and beveragesPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineNoncommunicable diseases; Hypertension; Period prevalenceMiddle Agedkansainvälinen vertailu3142 Public health care science environmental and occupational health3. Good healthMIDDLE-INCOMEPooled analysisBLOOD-PRESSURE; SYSTEMATIC ANALYSIS; INCOME COUNTRIES; MIDDLE-INCOME;ADULTS;PREVENTION;GUIDELINES;MANAGEMENT;ADHERENCE;DIAGNOSISWestern europeHypertension[SDE]Environmental SciencesHypertension/diagnosisNCD Risk Factor Collaboration (NCD-RisC)FemaleB990 Subjects Allied to Medicine not elsewhere classifiedLife Sciences & BiomedicineAdulthealth-careesiintyvyysCentral asiaPopulationNursing.3121 Internal medicineDIAGNOSIS03 medical and health sciencesMedicine General & InternalADHERENCEDrug TherapyGeneral & Internal MedicineControlMANAGEMENTSYSTEMATIC ANALYSISLife ScienceHumansddc:610INCOME COUNTRIESeducationAntihypertensive AgentsVLAGAgedScience & TechnologyAntihypertensive Agents/therapeutic usebusiness.industryOmvårdnadfungiGeneral and internal medicineADULTSEstados de Saúde e de DoençaPREVENTIONTaking medicationTreatmentFolkhälsovetenskap global hälsa socialmedicin och epidemiologiBlood pressureFaculdade de Ciências Sociais3121 General medicine internal medicine and other clinical medicinelääkehoito1182 Biochemistry cell and molecular biologybusinessDemography
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …

2020

Publisher's version (útgefin grein)

MaleLife expectancyDisability-Adjusted Life YearDiseasesDiseasecommunicable diseasesystematic analysisGlobal Burden of Disease0302 clinical medicine80 and overMedicine10. No inequalityChild11 Medical and Health SciencesinjuriesAged 80 and overeducation.field_of_studySjúkdómarDEMENTIAFALLSGeneral MedicineForvarnir3. Good healthChild PreschoolHumanGBDPopulation health03 medical and health sciencesSDG 3 - Good Health and Well-beingHumansGlobal Burden of Disease StudyeducationAgedSpatial AnalysisGlobal burdenDisabilityPreventionDISABILITYInfantSpatial AnalysiMortality rateGlobal Burden of Disease Diseases Injuries Systematic analysisPREVENTIONYears of potential life lostRisk factorsDisease studyGBD; communicable disease; injuries;ITC-ISI-JOURNAL-ARTICLELife expectancyRISK-FACTORSClinical MedicineRADemographyFötlunDánartíðniÁhættuþættir030204 cardiovascular system & hematologyRisk FactorsCause of DeathGlobal health030212 general & internal medicineMortality ratePopulation health1. No povertyDisability-Adjusted Life YearsPublic Health Global Health Social Medicine and EpidemiologyMiddle Aged3142 Public health care science environmental and occupational healthAdolescent; Adult; Age Distribution; Aged; Aged 80 and over; Cause of Death; Child; Child Preschool; Disability-Adjusted Life Years; Female; Global Burden of Disease; Humans; Infant; Infant Newborn; Male; Middle Aged; Risk Factors; Spatial Analysis; Young Adult/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsaFemaleCLINICAL-TRIALSAdultAdolescentPopulationGlobal healthSettore MED/01 - Statistica MedicadiseasesITC-HYBRIDYoung AdultHeilbrigðisvísindiAge DistributionGeneral & Internal MedicineMortalityPreschoolDisease burdenbusiness.industryRisk FactorKlinisk medicinInfant NewbornNewborn//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiÁverkarSystematic analysisNAbusiness
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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2020

Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the…

MaleNutritional SciencesSpecific riskContaminación del Aire Interior030204 cardiovascular system & hematologySocioeconomic Factorsystematic analysisGlobal HealthBody Mass IndexGlobal Burden of DiseaseHealth Risk BehaviorHealth Risk BehaviorsDisease studies0302 clinical medicineRisk FactorsMETABOLIC RISKS030212 general & internal medicine11 Medical and Health SciencesFactores de Riesgo2. Zero hungereducation.field_of_studyPublic healthInjuriesPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineGBD; risck factors; attributable burden of disease;3142 Public health care science environmental and occupational health3. Good healthRelative riskEnvironmental healthHealthHypertension/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingGlobal Burden of Diseases Injuries Risk FactorsA990 Medicine and Dentistry not elsewhere classifiedFemaleLeading risk factorsGlobal Health MetricsCohort studyHumanmedicine.medical_specialtySubstance-Related DisordersPopulationUNITED-STATESRisk AssessmentDIETITC-HYBRID03 medical and health sciencesLife ExpectancyUNITED-STATES; MORTALITY; DISABILITY; POLLUTION; CLUSTERS; DIETSDG 3 - Good Health and Well-beingPOLLUTIONGeneral & Internal MedicineEnvironmental healthmedicineHumansGlobal Burden of Disease StudyRisk factoreducationGlobal burdenbusiness.industryPublic healthRisk FactorMORTALITYDISABILITYMalnutritionKlinisk medicinGlobal Burden of DiseasesEnvironmental Exposuremedicine.diseaseEnfermedades//purl.org/pe-repo/ocde/ford#3.02.00 [https]MalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologiYears of potential life lostSocioeconomic FactorsRisk factorsDisease studyRelative riskHyperglycemiaITC-ISI-JOURNAL-ARTICLENAClinical MedicinebusinessCLUSTERSRA
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Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortalit…

2021

Background: Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-…

MalePerinatal careNewborn careSTILLBIRTHSRJ101UNDER-5 MORTALITYPsychological intervention010501 environmental sciencesInfant mortalityGlobal Health01 natural sciences0302 clinical medicineRA0421Cause of DeathInfant MortalityGlobal healthLife TablesHealthcare improvements030212 general & internal medicine610 Medicine & healthChildCause of Death; Child; COVID-19; Global Health; Humans; Infant; Life Tables; SARS-CoV-2; Sustainable Development11 Medical and Health SciencesCause of deathLife TableMortality rate1. No povertyPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineArticlesHälsovetenskaperSustainable DevelopmentMortality analyses3. Good healthPeer reviewChild PreschoolSDG 1 - No PovertyChild MortalityFemaleLife Sciences & BiomedicineHumanChild mortalityCOUNTRIESDEATHSInfants -- MortalitatGBD610 Medicine & health03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingLife tablesunder-5 mortality rateGeneral & Internal MedicineHealth SciencesNeonatal deathsmedicineSYSTEMATIC ANALYSISHumans:Medicine [Science]Infants -- SalutPreschool0105 earth and related environmental sciencesScience & TechnologyInfants nadons -- Salutbusiness.industrySARS-CoV-2Infants nadons -- MortalitatINFORMInfant NewbornCOVID-19InfantNeonatal and child health ; Sustainable Development Goal 3.2 ; Global healthGBD 2019 Under-5 Mortality Collaboratorsmedicine.diseaseNewbornTRENDSInfant mortalitySustainable Development GoalChild mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiDeaths3121 General medicine internal medicine and other clinical medicineRGbusinessSystematic AnalysisMalariaDemography
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Estimating global injuries morbidity and mortality

2020

Background. While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods. In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then est…

MalePopulations/contexts1106 Human Movement and Sports SciencesGlobal injuriespopulation030204 cardiovascular system & hematologyGlobal HealthcontextscontextGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal health1506030212 general & internal medicineOriginal ResearchDatapopulations/contextsIncidence (epidemiology)Incidencemethodology3142 Public health care science environmental and occupational healthPeer reviewFemalePublic HealthTERRITORIESQuality-Adjusted Life Yearsdescriptive epidemiologyHumanDisabilities195 COUNTRIESstatistical issue1117 Public Health and Health Services03 medical and health sciencesAGELife ExpectancyEnvironmental healthInjury preventionSYSTEMATIC ANALYSISstatistical issuesHumansMortalityEstimationSEX-SPECIFIC MORTALITYDISABILITYPublic Health Environmental and Occupational Healthpopulations; contexts; methodology; descriptive epidemiology; statistical issues; Female; Humans; Incidence; Life Expectancy; Male; Morbidity; Quality-Adjusted Life Years; Global Burden of Disease; Global Health; Wounds and Injuriespopulations1106 Human Movement and Sports Sciences 1117 Public Health and Health Services 1701 PsychologyQuality-adjusted life yearYears of potential life lost1701 PsychologyLife expectancyEstimatesWounds and InjuriesHuman medicineMorbiditypopulations/contextInjury prevention
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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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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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