0000000000633711

AUTHOR

Marcello Tonelli

showing 14 related works from this author

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

2020

Publisher's version (útgefin grein)

Index (economics)Servicios de SaludSUSTAINABLE DEVELOPMENT GOALS030204 cardiovascular system & hematologyuniversal health coverage; sustaibale develpment goal; global burden of disease; performance;universal health coveragesystematic analysisGlobal Burden of Disease0302 clinical medicineUniversal Health InsuranceRA042111. SustainabilityPer capitaMedical economicsDisease030212 general & internal medicine10. No inequality11 Medical and Health Scienceseffective coverage of health servicesGBD 2019 Universal Health Coverage Collaboratorseducation.field_of_studyPublic healthMedical careSjúkdómar4. Education1. No povertyHealth coveragePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineHälsovetenskaper3142 Public health care science environmental and occupational healthHealth services3. Good healthGlobal burden of diseaseGlobal Burden of Disease; Health Expenditures; Humans; Universal Health Insurance; World Health OrganizationPurchasing power parityScale (social sciences)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsauniversal health coveragCANCER SURVIVALACCESSperformanceHumanHeilsuhagfræðimedicine.medical_specialtyHealth coverage GBDGBDUniversal healthGBD 2019Population2019Health expenditures3122 CancersPopulation healthWorld Health Organization03 medical and health sciencesHealth systemsHeilbrigðisvísindiSDG 3 - Good Health and Well-beingGeneral & Internal MedicineDevelopment economicsHealth SciencesmedicineHeilbrigðisstefnasustaibale develpment goalAlþjóðaheilbrigðisstofnuninHumansQUALITYGlobal Burden of Disease StudyeducationPROGRESSDisease burdenPublic healthHealth services accessibilityCAREHeilbrigðisþjónusta//purl.org/pe-repo/ocde/ford#3.02.00 [https]Health ExpenditureFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineMorbilityAdministración de los Servicios de SaludMedical policyBusinessHealth ExpendituresHeilbrigðiskerfi
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Global, regional, and national burden of diseases and injuries for adults 70 years and older:systematic analysis for the Global Burden of Disease 201…

2022

AbstractObjectivesTo use data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) to estimate mortality and disability trends for the population aged ≥70 and evaluate patterns in causes of death, disability, and risk factors.DesignSystematic analysis.SettingParticipants were aged ≥70 from 204 countries and territories, 1990-2019.Main outcomes measuresYears of life lost, years lived with disability, disability adjusted life years, life expectancy at age 70 (LE-70), healthy life expectancy at age 70 (HALE-70), proportion of years in ill health at age 70 (PYIH-70), risk factors, and data coverage index were estimated based on standardised GBD methods.ResultsGlo…

RiskMale610 Medicine & healthCare1117 Public Health and Health ServicesGlobal Burden of DiseaseDisability EvaluationLife ExpectancyCost of IllnessDeclineRisk FactorsGeneral & Internal MedicineHumansObesityMortality610 Medicine & healthAgedAged 80 and overPublic Health Global Health Social Medicine and Epidemiology1103 Clinical SciencesGeneral MedicineMortality/trends3142 Public health care science environmental and occupational healthWounds and Injuries/epidemiologyFolkhälsovetenskap global hälsa socialmedicin och epidemiologiHealthWounds and InjuriesFemaleMorbidity
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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, 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 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 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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Health effects of overweight and obesity in 195 countries over 25 years

2017

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

MaleGerontologyPediatric ObesityobesityVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803global healthDiseaseOverweightGlobal HealthVDP::Social science: 200::Demography: 300DISEASEVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineRA0421PandemicPrevalenceadultsGlobal health030212 general & internal medicineChildhumansALL-CAUSE MORTALITYchildadult1. No povertypediatric obesity/epidemiology11 Medical And Health SciencesGeneral MedicineCANCER3. Good healthfemaleVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803Cardiovascular DiseasesCohortFemalemedicine.symptomLife Sciences & BiomedicineobesitatResearch ArticleAdultprevalenceoverweight/complications/epidemiologyWEIGHT-LOSS030209 endocrinology & metabolismKNEE OSTEOARTHRITISVDP::Samfunnsvitenskap: 200::Demografi: 300VDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencescardiovascular diseases/complications/mortalityMedicine General & InternalchildrenmaleGeneral & Internal MedicineEnvironmental healthmedicineHumansoverweightCOHORTObesityDisease burdenMETAANALYSISScience & TechnologyGBD 2015 Obesity Collaboratorsbusiness.industryADULTSOverweightmedicine.diseaseObesityPREVENTIONBODY-MASS INDEXCross-Sectional StudiesbusinessBody mass indexobesity/complications/*epidemiology
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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and…

2020

Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…

MaleDepressive disordersSCHEDULESACCURACYSocio-culturaleHospital Anxiety and Depression ScaleOdds03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingIndividual participant data meta-analysisMedicineHumansMajor depression030212 general & internal medicineVALIDITYDepression (differential diagnoses)Mini-international neuropsychiatric interviewProbabilityPsychiatric Status Rating ScalesDepressive Disorder MajorDepressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depressionbusiness.industryIndividual participant dataOdds ratioCIDIAn individual participant data meta-analysis of 73 primary studies.- Journal of psychosomatic research cilt.129 ss.109892 2020 [Wu Y. Levis B. Sun Y. Krishnan A. He C. Riehm K. Rice D. Azar M. Yan X. Neupane D. et al. -Probability of major depression diagnostic classification based on the SCID CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores]3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisDiagnostic interviews/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryClinical psychology
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for …

2015

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

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

2017

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

MalePediatricsMyocardial IschemiaNormal DistributionPROGRESSIONBlood Pressure030204 cardiovascular system & hematologyGlobal Health0302 clinical medicineCause of DeathPrevalence030212 general & internal medicineStrokeCause of deathAged 80 and overMortality rateUncertaintyGeneral Medicine11 Medical And Health SciencesMiddle AgedStrokeCARDIOVASCULAR-DISEASEHypertensionCardiologyBlood pressureHipertensióFemaleQuality-Adjusted Life YearsARTERIAL STIFFNESSLife Sciences & BiomedicineIntracranial HemorrhagesMonte Carlo MethodAdultmedicine.medical_specialtySystolePressió sanguíniaRisk Assessment03 medical and health sciencesMedicine General & InternalAGEAge DistributionInternal medicineGeneral & Internal MedicinemedicineDisability-adjusted life yearHumansCORONARY-HEART-DISEASESystoleRenal Insufficiency ChronicSex DistributionMETAANALYSISAgedScience & Technologybusiness.industryMORTALITYKIDNEY-DISEASEmedicine.diseaseHealth SurveysQuality-adjusted life yearBlood pressureArterial stiffnessRISK-FACTORSbusiness
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Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

2020

Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major…

AdultMalemedicine.medical_specialtyMEDLINEDiagnostic interviewScale Individual participant dataHospital Anxiety and Depression Scale03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingHospital Anxiety and DepressionInternal medicinePrevalenceMedicineHumansScreening tool030212 general & internal medicineDepression (differential diagnoses)Screening toolsAgedDepressive Disorder Majorbusiness.industryDepressionIndividual participant dataIndividual participant dataMiddle AgedConfidence interval3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryJournal of psychosomatic research
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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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Global, regional, and national burden of stroke and its risk factors, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019

2021

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]…

MaleAging030204 cardiovascular system & hematologyStroke dataGUIDELINES3124 Neurology and psychiatryBody Mass IndexGlobal Burden of Disease0302 clinical medicineRA0421Risk FactorsEpidemiologyStrokesYOUNG-ADULTSPrevalence80 and overAetiology610 Medicine & healthStrokePOPULATION1103 Clinical Sciences 1109 NeurosciencesCause of deathAged 80 and overeducation.field_of_studyMortality rateIncidence (epidemiology)Incidence1. No povertyArticlesHälsovetenskaperMiddle AgedStroke typesddc:3. Good healthStrokeISCHEMIC-STROKEIncomeFemaleQuality-Adjusted Life YearsLife Sciences & BiomedicineAdultmedicine.medical_specialtyGBDPopulationClinical SciencesClinical Neurology610 Medicine & health03 medical and health sciencesClinical ResearchMIDDLE-INCOME COUNTRIESHealth SciencesmedicineHumansRisk factoreducationGBD 2019 Stroke CollaboratorsCerebral HemorrhageAgedIschemic StrokeGlobal burdenScience & TechnologyNeurology & NeurosurgeryHYPERTENSIONbusiness.industryMORTALITYPrevention3112 NeurosciencesNeurosciences1103 Clinical SciencesSERVICESSubarachnoid Hemorrhagemedicine.diseasePREVENTIONBrain DisordersGood Health and Well BeingAttributable riskHuman medicineNeurology (clinical)Neurosciences & Neurologybusiness1109 Neurosciences030217 neurology & neurosurgeryDemography2.4 Surveillance and distributionRC
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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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