0000000000633458

AUTHOR

Reza Mohammadpourhodki

showing 19 related works from this author

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a…

2020

Background Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian…

Malevery elderlyDemographic transitionHALE030204 cardiovascular system & hematologypreschool childGlobal Burden of DiseaseCarga Global de Enfermedades0302 clinical medicinenewbornRisk FactorsSurveys and Questionnairesand Risk Factors Study80 and over030212 general & internal medicineBirth RateChildMigration11 Medical and Health SciencesAged 80 and overeducation.field_of_studyInjuriesGeographyMortality rate1. No povertyDEATHCensusesGeneral MedicineSDG 10 - Reduced InequalitiesMiddle AgedDemographic analysis3142 Public health care science environmental and occupational health3. Good healthdemographic analysisEstilo de Vida SaludableGeographyrisk factorChild Preschool/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalitiesDemography/statistics & numerical dataGlobal Burden of Diseases Injuries Risk Factors Fertility Mortality Migration Population/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingepidemiologyFemaleA990 Medicine and Dentistry not elsewhere classifiedCHILD-MORTALITYLive BirthGlobal Health MetricsTRANSITIONdemographics ; GBD ; fertility ; mortality ; haleAdultAdolescentTotal fertility ratePopulationPopulation.Global Burden of Diseases Injuries and Risk Factors StudyBirth rate03 medical and health sciencesYoung AdultLife ExpectancySDG 3 - Good Health and Well-beingGeneral & Internal MedicineSYSTEMATIC ANALYSISDemografíaHumansGlobal Burden of Disease StudyhumanMortalityeducationPreschoolAgedDemographySpatial AnalysisquestionnaireInfant NewbornKlinisk medicinHIVInfantGlobal Burden of Diseasessex-specific fertilityMortality rateLive Birth/epidemiology//purl.org/pe-repo/ocde/ford#3.02.00 [https].Global Burden of DiseasesMODELFertilidadFertilityDemographic changeLife expectancyNAglobal disease burdenClinical Medicinepopulation researchDemographyThe Lancet
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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 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 injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

2020

Publisher's version (útgefin grein)

DánarmeinFötlunDánartíðniLífslíkurLife expectancy1106 Human Movement and Sports Sciencesburden of diseaseGlobal HealthGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal healthMedicineLIFE EXPECTANCY030212 general & internal medicine1506POPULATIONCause of deathOriginal ResearchRISKeducation.field_of_studyGlobal disease burdensInjuriesSjúkdómarIncidence (epidemiology)IncidencePopulation healthBurden of diseaseGlobalglobal3142 Public health care science environmental and occupational health3. Good healthDescriptive epidemiologyLýðheilsaQuality-Adjusted Life YearsPublic HealthTERRITORIESdescriptive epidemiologyHumanPopulation195 COUNTRIESPopulation healthCause of deathburden of disease; descriptive epidemiology; global; Humans; Incidence; Life Expectancy; Morbidity; Quality-Adjusted Life Years; Global Burden of Disease; Global Health; Wounds and Injuries1117 Public Health and Health Services03 medical and health sciencesAGESYSTEMATIC ANALYSISHumansMortalityeducationDisabilitySEX-SPECIFIC MORTALITYbusiness.industryFaraldsfræðiDISABILITYPublic Health Environmental and Occupational HealthQuality-adjusted life yearYears of potential life lostÁverkar1701 PsychologyLife expectancyWounds and InjuriesHuman medicineMorbiditybusiness030217 neurology & neurosurgeryDemography
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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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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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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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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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Health sector spending and spending on HIV/AIDS, tuberculosis, and malaria, and development assistance for health: progress towards Sustainable Devel…

2020

BACKGROUND: Sustainable Development Goal (SDG) 3 aims to "ensure healthy lives and promote well-being for all at all ages". While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. METHODS: We estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For …

Economic growthFinancing GovernmentPsychological interventionHIV Infectionsburden of disease030204 cardiovascular system & hematologyDISEASEALLOCATION0302 clinical medicineRA0421RA0421 Public health. Hygiene. Preventive MedicineSustainable developmentGlobal healthhealth economicsHealthcare FinancingHIV Infection030212 general & internal medicine10. No inequality11 Medical and Health SciencesDALYHealthy lives1. No povertyPublic Health Global Health Social Medicine and Epidemiology3rd-DASGeneral MedicineSustainable Development3. Good healthtuberculosisIMPOVERISHMENTTERRITORIESFinancingHumanFinancing PersonalResource (biology)Tuberculosi195 COUNTRIESDeveloping Countrie03 medical and health sciencesSDG 3 - Good Health and Well-beingAcquired immunodeficiency syndrome (AIDS)General & Internal MedicineSYSTEMATIC ANALYSISmedicineHumansBurden HIV/AIDS tubercolosis malariaHuman resourcesDeveloping CountriesSustainable developmentGovernmentAcquired Immunodeficiency SyndromeHealth economicsbusiness.industryDISABILITYCATASTROPHEGlobal Burden of Disease Health Financing Collaborator NetworkGLOBAL BURDENmedicine.diseaseMalariaSDG; health sector spending; development assistant for health.Health ExpenditureFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineNAHealth ExpendituresbusinessEXPENDITURE
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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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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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Global trends of hand and wrist trauma: A systematic analysis of fracture and digit amputation using the Global Burden of Disease 2017 Study

2020

BackgroundAs global rates of mortality decrease, rates of non-fatal injury have increased, particularly in low Socio-demographic Index (SDI) nations. We hypothesised this global pattern of non-fatal injury would be demonstrated in regard to bony hand and wrist trauma over the 27-year study period.MethodsThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 was used to estimate prevalence, age-standardised incidence and years lived with disability for hand trauma in 195 countries from 1990 to 2017. Individual injuries included hand and wrist fractures, thumb amputations and non-thumb digit amputations.ResultsThe global incidence of hand trauma has only modestly decreased since…

Malemedicine.medical_treatmentHandsWristburden of diseaseGlobal HealthGlobal Burden of Disease0302 clinical medicineLIFE EXPECTANCY1506030212 general & internal medicinehand injuryPOPULATIONOriginal Research030222 orthopedicseducation.field_of_studyIncidenceIncidence (epidemiology)Hand InjuriesWristsWristWrist Injuries3142 Public health care science environmental and occupational health3. Good healthPREVALENCEmedicine.anatomical_structureFemaleQuality-Adjusted Life YearsTERRITORIESdescriptive epidemiologymedicine.medical_specialtyPopulation195 COUNTRIESThumbAmputation Surgical03 medical and health sciencesAGEmedicineTraumasHumanseducationHand injurySEX-SPECIFIC MORTALITYbusiness.industryPublic Health Environmental and Occupational HealthEASTERN-EUROPEAmputationsmedicine.diseaseNumerical digitAmputationHEALTH-CAREPhysical therapyLife expectancyINJURIESbusinessFractures
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Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

2020

Artículo con numerosos autores, sólo se mencionan el primero, los de la UAM y grupo colectivo

MaleLocal patternsDouble burdenBörnResearch & Experimental MedicineSjúkdómseinkenniDOUBLE BURDENChildhood overweightLífefnafræðiLæknisfræði0302 clinical medicineSyndemicChild11 Medical and Health Sciencesunder 5 years of ageGeneral Medicine3. Good healthGeographyMedicine Research & ExperimentalChild PreschoolIncomeGROWTHAFRICAmedicine.medical_specialtyBiochemistry & Molecular BiologyRJMedicinaImmunologyeducationMODELSwa_395General Biochemistry Genetics and Molecular BiologyArticleG03 medical and health sciencesHumansAuthor CorrectionDeveloping CountriesPovertyBiologyLBD Double Burden of Malnutrition CollaboratorsDemographyScience & TechnologyWasting SyndromePublic healthMORTALITYInfantNæringarskorturmedicine.diseaseObesityTRENDSsigns and symptomsSocial ClassRisk factorsSameindalíffræðiITC-ISI-JOURNAL-ARTICLEUNDERNUTRITIONHuman medicineClinical Medicine030217 neurology & neurosurgeryPediatric ObesityobesityOffitaÁhættuþættirGeographic MappingOverweightRA0421Global healthrisk factors030212 general & internal medicineSigns and symptomsWastingMalnutrition Global Burden of Diseases Global Nutrition low- and middle-income countries2. Zero hungerPublic health1. No povertyPublic Health Global Health Social Medicine and EpidemiologyA900 Others in Medicine and DentistryChildhood wastingPREVALENCEChemistryMappingFemaleLýðheilsamedicine.symptomLife Sciences & BiomedicineGROWTH FAILURENutritional StatusmalnutritionITC-HYBRIDws_115childrenEnvironmental healthmedicineErfðafræðiObesitywd_200MalnutritionInfant NewbornKlinisk medicinCell BiologyOverweightMalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineNA
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Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 3: Supplemental figures.Figure S1. Prevalence of male circumcision. Figure S2. Prevalence of signs and symptoms of sexually transmitted infections. Figure S3. Prevalence of marriage or living as married. Figure S4. Prevalence of partner living elsewhere among females. Figure S5. Prevalence of condom use during most recent sexual encounter. Figure S6. Prevalence of sexual activity among young females. Figure S7. Prevalence of multiple partners among males in the past year. Figure S8. Prevalence of multiple partners among females in the past year. Figure S9. HIV prevalence predictions from the boosted regression tree model. Figure S10. HIV prevalence predictions from the gener…

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Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 1: Supplemental information.1. Compliance with the Guidlines for Accurate and Transparent Health Estimates Reporting (GATHER). 2. HIV data sources and data processing. 3. Covariate and auxiliary data. 4. Statistical model. 5. References.

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Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 2: Supplemental tables.Table S1. HIV seroprevalence survey data. Table S2. ANC sentinel surveillance data. Table S3. HIV and covariates surveys excluded from this analysis. Table S4. Sources for pre-existing covariates. Table S5. HIV covariate survey data. Table S6. Fitted model parameters.

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Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges.

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