0000000000701844

AUTHOR

Bernhard T. Baune

showing 10 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 burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …

2020

Publisher's version (útgefin grein)

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

2020

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

MaleNutritional SciencesSpecific riskContaminación del Aire Interior030204 cardiovascular system & hematologySocioeconomic Factorsystematic analysisGlobal HealthBody Mass IndexGlobal Burden of DiseaseHealth Risk BehaviorHealth Risk BehaviorsDisease studies0302 clinical medicineRisk FactorsMETABOLIC RISKS030212 general & internal medicine11 Medical and Health SciencesFactores de Riesgo2. Zero hungereducation.field_of_studyPublic healthInjuriesPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineGBD; risck factors; attributable burden of disease;3142 Public health care science environmental and occupational health3. Good healthRelative riskEnvironmental healthHealthHypertension/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingGlobal Burden of Diseases Injuries Risk FactorsA990 Medicine and Dentistry not elsewhere classifiedFemaleLeading risk factorsGlobal Health MetricsCohort studyHumanmedicine.medical_specialtySubstance-Related DisordersPopulationUNITED-STATESRisk AssessmentDIETITC-HYBRID03 medical and health sciencesLife ExpectancyUNITED-STATES; MORTALITY; DISABILITY; POLLUTION; CLUSTERS; DIETSDG 3 - Good Health and Well-beingPOLLUTIONGeneral & Internal MedicineEnvironmental healthmedicineHumansGlobal Burden of Disease StudyRisk factoreducationGlobal burdenbusiness.industryPublic healthRisk FactorMORTALITYDISABILITYMalnutritionKlinisk medicinGlobal Burden of DiseasesEnvironmental Exposuremedicine.diseaseEnfermedades//purl.org/pe-repo/ocde/ford#3.02.00 [https]MalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologiYears of potential life lostSocioeconomic FactorsRisk factorsDisease studyRelative riskHyperglycemiaITC-ISI-JOURNAL-ARTICLENAClinical MedicinebusinessCLUSTERSRA
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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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Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD); however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean fractional anisotropy (FA) from 43 regions of interest (ROI) a…

PharmacologyAdultMaleBipolar DisorderCorrectionBrainDiagnostic markersBiologyTranslational researchmedicine.diseaseMega-White MatterCorpus CallosumWhite matterPsychiatry and Mental healthmedicine.anatomical_structureDiffusion Tensor ImagingNeural PathwaysmedicineHumansFemaleBipolar disorderClinical psychologyNeuropsychopharmacology
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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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What we learn about bipolar disorder from large-scale neuroimaging

2020

Abstract MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Workin…

mega-analysisStress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]cortical surface areaReview Article0302 clinical medicineManic-depressive illnessMulticenter Studies as TopicSpectrum disorderReview Articlesbipolar disorderCerebral CortexTrastorn bipolarneuroimagingRadiological and Ultrasound Technology05 social sciencesENIGMAHUMAN BRAINMagnetic Resonance Imagingpsychiatry3. Good healthNeurologyMeta-analysisScale (social sciences)AnatomyPsychologyClinical risk factorClinical psychologyMRIMAJOR PSYCHIATRIC-DISORDERSSchizoaffective disorder050105 experimental psychology03 medical and health sciencesMagnetic resonance imagingNeuroimagingMeta-Analysis as TopicSDG 3 - Good Health and Well-beingImatges per ressonància magnèticamedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBipolar disorderHIPPOCAMPAL VOLUMESmega‐analysisGRAY-MATTER VOLUMESPECTRUM DISORDERvolumeDIABETES-MELLITUScortical thicknessCOGNITIVE IMPAIRMENTmedicine.diseaseMental illnessmeta-analysismeta‐analysisRC0321Neurology (clinical)SCHIZOAFFECTIVE DISORDERPSYCHOTIC FEATURES030217 neurology & neurosurgeryHuman Brain Mapping
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Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD);\ud however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical\ud heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with\ud BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered\ud individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean\ud fractional anisotropy (FA) from 43 regions of i…

Pathologymedicine.medical_specialtyCorpus callosumArticleWhite matter03 medical and health sciences0302 clinical medicineFractional anisotropyCingulum (brain)MedicineManic-depressive illnessBipolar disorderPharmacologyTrastorn bipolarbusiness.industryDiagnostic markersAnisotropiaTranslational researchmedicine.disease030227 psychiatryPsychiatry and Mental healthmedicine.anatomical_structureMeta-analysisAnisotropybusiness030217 neurology & neurosurgeryDiffusion MRITractography
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Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

2018

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generat…

Netherlands Twin Register (NTR)0301 basic medicineMajor Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics ConsortiumBipolar DisorderSAMPLEMedicine (miscellaneous)Pedigree chartDisease0302 clinical medicineSCHIZOPHRENIA2.1 Biological and endogenous factorsMedicineAetiologyANTICIPATIONlcsh:QH301-705.5Psychiatry0303 health sciencesDepressionASSOCIATIONSerious Mental IllnessPeer reviewMental HealthSchizophrenia/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingMajor depressive disorderGeneral Agricultural and Biological SciencesEngineering sciences. Technologymedicine.medical_specialtyContext (language use)ArticlePsykiatriGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAGESDG 3 - Good Health and Well-beingddc:570Behavioral and Social Science/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_GeneticsPLINKGenetic TestingBipolar disorderPsychiatryBiology030304 developmental biologybusiness.industryPreventionHuman GenomeAssortative matingmedicine.diseaseBrain Disorders030104 developmental biologyMoodlcsh:Biology (General)Mood disordersAnticipation (genetics)ONSETHuman medicinebusiness030217 neurology & neurosurgery
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Burden of non-communicable diseases among adolescents aged 10-24 years in the EU, 1990-2019: a systematic analysis of the Global Burden of Diseases S…

2022

Background: Disability and mortality burden of non-communicable diseases (NCDs) have risen worldwide; however, the NCD burden among adolescents remains poorly described in the EU. Methods: Estimates were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Causes of NCDs were analysed at three different levels of the GBD 2019 hierarchy, for which mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) were extracted. Estimates, with the 95% uncertainty intervals (UI), were retrieved for EU Member States from 1990 to 2019, three age subgroups (10–14 years, 15–19 years, and 20–…

Malemortality burdenAdolescentRJRJ101CareGlobal Burden of DiseaseLife ExpectancyRJ101 Child Health. Child health servicesSDG 3 - Good Health and Well-beingRA04213123 Gynaecology and paediatricsRisk FactorsRA0421 Public health. Hygiene. Preventive MedicineDevelopmental and Educational PsychologyHumansDisabled PersonsNoncommunicable DiseasesFutureDeterminantsMCCDisabilityPublic Health Global Health Social Medicine and EpidemiologyBurden of non-communicable diseases among adolescents aged 10–24 years in the EU 1990–2019: a systematic analysis of the Global Burden of Diseases Study 20193rd-DASDisability; mortality burdenFolkhälsovetenskap global hälsa socialmedicin och epidemiologin/aHealthPediatrics Perinatology and Child HealthFemaleRA
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