0000000000930150

AUTHOR

Amanda G. Thrift

showing 11 related works from this author

Factors contributing to sex differences in functional outcomes and participation after stroke.

2018

ObjectiveTo examine factors contributing to the sex differences in functional outcomes and participation restriction after stroke.MethodsIndividual participant data on long-term functional outcome or participation restriction (i.e., handicap) were obtained from 11 stroke incidence studies (1993–2014). Multivariable log-binomial regression was used to estimate the female:male relative risk (RR) of poor functional outcome (modified Rankin Scale score >2 or Barthel Index score <20) at 1 year (10 studies, n = 4,852) and 5 years (7 studies, n = 2,226). Multivariable linear regression was used to compare the mean difference (MD) in participation restriction by use of the London Handicap Sca…

Malebusiness.industryBarthel indexIndividual participant dataStroke severityStroke RehabilitationRecovery of Function030204 cardiovascular system & hematologymedicine.diseaseConfidence interval03 medical and health sciences0302 clinical medicineSex FactorsModified Rankin ScaleRisk FactorsRelative riskMedicineHumansFemaleNeurology (clinical)businessStroke incidenceStroke030217 neurology & neurosurgeryDemographyNeurology
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New Strategy to Reduce the Global Burden of Stroke

2015

The socioeconomic and health effect of stroke and other noncommunicable disorders (NCDs) that share many of the same risk factors with stroke, such as heart attack, dementia, and diabetes mellitus, is huge and increasing.1–4 Collectively, NCDs account for 34.5 million deaths (66% of deaths from all causes)3 and 1344 million disability-adjusted life years lost worldwide in 2010.2 The burden of NCDs is likely to burgeon given the aging of the world’s population and the epidemiological transition currently observed in many low- to middle-income countries (LMICs).5,6 In addition, there is low awareness in the population about these NCDs and their risk factors,7–10 particularly in LMICs.11 These…

Advanced and Specialized NursingGerontologyeducation.field_of_studybusiness.industryIncidence (epidemiology)PopulationOverweightmedicine.diseaseEpidemiological transitionEnvironmental healthmedicineGlobal healthDementiaNeurology (clinical)medicine.symptomCardiology and Cardiovascular MedicineeducationbusinessSocioeconomic statusStrokeStroke
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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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Sex Differences in Severity of Stroke in the INSTRUCT Study: a Meta‐Analysis of Individual Participant Data

2018

Background Women have worse outcomes after stroke than men, and this may be partly explained by stroke severity. We examined factors contributing to sex differences in severity of acute stroke assessed by the National Institutes of Health Stroke Scale. Methods and Results We pooled individual participant data with National Institutes of Health Stroke Scale assessment (N=6343) from 8 population‐based stroke incidence studies (1996–2014), forming part of INSTRUCT (International Stroke Outcomes Study). Information on sociodemographics, stroke‐related clinical factors, comorbidities, and pre‐stroke function were obtained. Within each study, relative risk regression using log‐binominal modeling…

medicine.medical_specialtysex differencePopulation030204 cardiovascular system & hematologyGlobal HealthRisk AssessmentSeverity of Illness IndexBrain IschemiaBrain ischemia03 medical and health sciences0302 clinical medicineRisk FactorsInternal medicineEpidemiologySeverity of illnessmedicineHumanscardiovascular diseasesSex DistributioneducationStrokeIntracerebral hemorrhageeducation.field_of_studyQuality and OutcomesSystematic Review and Meta‐analysisbusiness.industryIncidenceMeta Analysismedicine.diseasestrokeMeta-analysisRelative riskepidemiologyCardiology and Cardiovascular Medicinebusiness030217 neurology & neurosurgeryJournal of the American Heart Association
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Abstract TP171: Differences Between Men and Women in Long-term Participation Restriction After Stroke: The International Stroke Outcomes Study (INSTR…

2017

Introduction: As women suffer worse functional outcomes of stroke than men, they may also face more challenges with community reintegration but data are scarce. We examined sex differences in participation after stroke and which factors might account for these disparities. Methods: INSTRUCT is an individual participant data pooling study of incident strokes obtained from 13 population-based cohorts worldwide. Two of the cohorts (Melbourne ’96-‘99 and Auckland ’02-‘03) included assessment of participation at 5 years after stroke using the London Handicap Scale (LHS). The LHS is used to assess the individual’s perspective of their involvement in life situations including orientation (person’…

Advanced and Specialized NursingGerontologybusiness.industryMedicineNeurology (clinical)Cardiology and Cardiovascular Medicinebusinessmedicine.diseaseStrokeTerm (time)Stroke
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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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The Stroke Riskometer (TM) App: Validation of a data collection tool and stroke risk predictor

2014

Background The greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the ‘mass’ approach), the ‘high risk’ approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer™, has been developed. We aim to explore the validity of the app fo…

Riskmedicine.medical_specialtyNeurologyPopulationSpecific riskSensitivity and SpecificityRussiapreventionstroke predictionRisk FactorsmedicineHumanscardiovascular diseaseseducationStrokeStatisticNetherlandsvalidationeducation.field_of_studyFramingham Risk ScoreReceiver operating characteristicbusiness.industryData CollectionResearchStroke Riskometer™ Appmedicine.diseasePrognosisMobile ApplicationsConfidence intervalStrokeNeurologyEmergency medicineCalibrationbusinessAlgorithmsNew ZealandInternational Journal of Stroke
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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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Primary stroke prevention worldwide:translating evidence into action

2021

Abstract: Stroke is the second leading cause of death and the third leading cause of disability worldwide and its burden is increasing rapidly in low-income and middle-income countries, many of which are unable to face the challenges it imposes. In this Health Policy paper on primary stroke prevention, we provide an overview of the current situation regarding primary prevention services, estimate the cost of stroke and stroke prevention, and identify deficiencies in existing guidelines and gaps in primary prevention. We also offer a set of pragmatic solutions for implementation of primary stroke prevention, with an emphasis on the role of governments and population-wide strategies, includin…

Global Burden of Disease03 medical and health sciences0302 clinical medicineNursingBIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences. Neurology.Medicine030212 general & internal medicineStrokeHealth policyCause of deathEntire populationHealth professionalsbusiness.industryHealth PolicyPublic Health Environmental and Occupational HealthBIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti. Neurologija.medicine.disease3. Good healthStrokeAction (philosophy)Stroke preventionOcclusive Cerebrovascular DiseaseLife course approachHuman medicinebusiness030217 neurology & neurosurgery
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