0000000000554337

AUTHOR

Zulfiqar A Bhutta

showing 16 related works from this author

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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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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Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study…

2022

Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories.  Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–4…

AdultMaleGlobal HealthTimeGlobal Burden of DiseaseSDG 3 - Good Health and Well-beingRisk FactorsRA0421RA0421 Public health. Hygiene. Preventive MedicineHumansAmbient air-qualityChildRespiratory Tract InfectionsAgedAged 80 and overMCCSex CharacteristicsMalnutritionPyridinolcarbamateBayes Theorem3rd-DAS3142 Public health care science environmental and occupational healthInfectious Diseases3121 General medicine internal medicine and other clinical medicineChild PreschoolFemaleParticulate MatterQuality-Adjusted Life YearsCovid-19LRI
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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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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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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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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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Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019

2022

Correction to Lancet Public Health 2022; 7: e657-69. Lancet Public Health. 2022 Dec;7(12):e992. doi: 10.1016/S2468-2667(22)00294-8. PMID: 36462522. Background: Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. Methods: Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolut…

MaleAdolescentRJ101AdolescentsGlobal Burden of DiseaseLife ExpectancyRJ101 Child Health. Child health servicesSDG 3 - Good Health and Well-beingRA0421Risk FactorsRA0421 Public health. Hygiene. Preventive MedicineHumansMortalityChildrenInterventionsMCCUnintentional injuriesPreventionPublic Health Environmental and Occupational Health3rd-DASGBD 2019 Adolescent Transport and Unintentional Injuries Collaborators3142 Public health care science environmental and occupational healthAdolescent transportPreventable causesHealthFemaleQuality-Adjusted Life YearsInvestmentMorbidityAdolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019The Lancet Public Health
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Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

2021

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitabil…

OncocercosisDecision AnalysisRC955-962Onchocerciasislaw.inventionGeographical LocationsMedical Conditions0302 clinical medicinelawArctic medicine. Tropical medicineMedicine and Health Sciences030212 general & internal medicineOnchocerca11 Medical and Health SciencesData ManagementbiologyPharmaceuticswc_695Enfermedades ParasitariasOnchocerciasi3. Good healthInfectious DiseasesGeographyTransmission (mechanics)Helminth InfectionsEngineering and TechnologyMass Drug AdministrationOnchocercaPublic aspects of medicineRA1-1270Management EngineeringCartographyHumanResearch ArticleNeglected Tropical DiseasesComputer and Information SciencesDrug Administration030231 tropical medicineDecision treewa_395Dermatologywc_765Environmentwc_885Research and Analysis MethodsSkin Diseases03 medical and health sciencesDrug TherapySDG 3 - Good Health and Well-beingDiagnostic MedicineTropical MedicineParasitic DiseasesmedicineHumansDisease EradicationSpatial analysisIvermectinData collectionReceiver operating characteristicData VisualizationDecision TreesPublic Health Environmental and Occupational Health06 Biological SciencesOnchocerciasis ; Elimination planning ; Africa ; Implementation units ; Public healthTropical Diseasesmedicine.diseasebiology.organism_classificationHealth CareROC CurvePeople and PlacesAfricaHealth StatisticsMorbidityOnchocerciasisScale (map)ForecastingPLOS Neglected Tropical Diseases
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Mapping disparities in education across low- and middle-income countries

2020

Educational attainment is an important social determinant of maternal, newborn, and child health1–3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4–6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9–11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proporti…

MaleATTAINMENTHealth StatusDiseaseeducation; low- and middle-income countries0302 clinical medicineWORLDgenderGlobal healthrisk factors030212 general & internal medicineAetiology10. No inequalitymedia_commonDeveloping worldPediatricMultidisciplinaryR1. No povertyMultidisciplinary SciencesGeographyScience & Technology - Other TopicsFemaleHEALTHdeveloping worldsocial and economic factorsEngineering sciences. TechnologydisparitieAFRICAmedicine.medical_specialty330InequalityGeneral Science & Technologymedia_common.quotation_subjectMODELSDeveloping countryLocal Burden of Disease Educational Attainment CollaboratorsArticleHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]Education03 medical and health sciences2.3 PsychologicalmedicineHumansSocietySocial determinants of healthDeveloping CountriesScience & TechnologyEquity (economics)MORTALITYPublic healthBayes TheoremEducational attainment3141 Health care sciencesocietyGood Health and Well BeingRisk factorsSocioeconomic FactorsDemographic economics030217 neurology & neurosurgery
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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, 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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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement s…

2017

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

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