Search results for "MESH: Socioeconomic Factors"

showing 4 items of 4 documents

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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Very preterm birth: who has access to antenatal corticosteroid therapy?

2010

International audience; We describe the administration of antenatal corticosteroid therapy (ACT) for liveborn very preterm neonates in a population-based study. A total of 790 very preterm neonates (between 24 and 31 full weeks of gestation) were included in this regionally defined population of very preterm neonates in France. The main outcome measure was non-access to ACT. Data were analysed using logistic and polytomous models to control for neonatal and sociodemographic characteristics, mechanisms of very preterm birth and neonatal network organisation. As compared with level III, births in levels I-II maternity units were closely related to non-access to ACT (60.1% vs. 8.8%), but not t…

Gestational hypertensionPediatricsEpidemiologyMESH: Logistic ModelsHealth Services AccessibilityInfant Newborn Diseases[ SDV.CAN ] Life Sciences [q-bio]/CancerCohort Studies0302 clinical medicineMESH: PregnancyMESH : Health Services AccessibilityMESH: Risk FactorsAdrenal Cortex HormonesPregnancyRisk FactorsMESH: Maternal Health ServicesMESH : Socioeconomic FactorsMedicineChildbirthRupture of membranesMESH : FemaleMESH: Cohort StudiesMESH : Infant Newborn Diseaseseducation.field_of_studyMESH: Health Services Accessibility030219 obstetrics & reproductive medicineMESH: Middle AgedObstetricsMESH: Infant NewbornSmokingAge FactorsMiddle AgedMESH : AdultMESH : Risk Factors3. Good healthMESH : SmokingMESH : Infant PrematureMESH: Young AdultGestationFemaleFranceInfant PrematureMESH: Infant PrematureAdultmedicine.medical_specialtyMESH: SmokingMESH: Socioeconomic FactorsReferralAdolescentPopulationMESH : Young AdultMESH : Cohort StudiesMESH: Infant Newborn Diseases[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Infant NewbornMESH: Adrenal Cortex HormonesMESH : Adrenal Cortex Hormones03 medical and health sciencesYoung Adult030225 pediatricsMESH : AdolescentVery Preterm BirthHumansMaternal Health ServicesMESH : Middle AgededucationMESH : FranceMESH: AdolescentMESH: Age FactorsPregnancyMESH: Humansbusiness.industryMESH : HumansInfant NewbornMESH: Adultmedicine.diseaseMESH: FranceMESH : PregnancyLogistic ModelsSocioeconomic FactorsPediatrics Perinatology and Child HealthMESH : Age FactorsbusinessMESH: FemaleMESH : Maternal Health ServicesMESH : Logistic Models
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The influence of socio-economic and surveillance characteristics on breast cancer survival: a French population-based study.

2008

International audience; Survival data on female invasive breast cancer with 9-year follow-up from five French cancer registries were analysed by logistic regression for prognostic factors of cancer stage. The Kaplan-Meier method and log-rank test were used to estimate and compare the overall survival probability at 5 and 7 years, and at the endpoint. The Cox regression model was used for multivariate analysis. County of residence, age group, occupational status, mammographic surveillance, gynaecological prevention consultations and the diagnosis mammography, whether within a screening framework or not, were independent prognostic factors of survival. Moreover, for the same age group, and on…

OncologyCancer ResearchEpidemiologyMESH : AgedMESH : Breast NeoplasmsLogistic regressionsurvival analysis0302 clinical medicineMESH: Aged 80 and overMESH : Population SurveillanceMESH : Socioeconomic FactorsMedicineMESH : Female030212 general & internal medicineAged 80 and overMESH: AgedMESH: Middle Agedmedicine.diagnostic_testCarcinoma Ductal Breast[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: European Continental Ancestry GroupMESH: Follow-Up StudiesMiddle AgedMESH : AdultMESH : Survival Rate3. Good healthSurvival RateOncology030220 oncology & carcinogenesisPopulation SurveillanceFemalemass screeningAdultmedicine.medical_specialtyMESH: Socioeconomic FactorsMESH: Survival RatemammographyMESH: MammographyBreast NeoplasmsWhite PeopleMESH: Population SurveillanceMESH : European Continental Ancestry Group03 medical and health sciencesBreast cancerbreast neoplasmInternal medicineMammographyHumansMESH : MammographyMESH : Middle AgedMESH: Mass ScreeningMESH : Aged 80 and overSurvival rateMass screeningSurvival analysisAgedGynecologyMESH : Mass ScreeningMESH: Humansbusiness.industryProportional hazards modelMESH : HumansMESH : Carcinoma Ductal BreastCancerMESH: AdultMESH : Follow-Up Studiesmedicine.diseaseMESH: Carcinoma Ductal BreastSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologiesocio-economic factors[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleMESH: Breast NeoplasmsFollow-Up Studies
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The Urban Exposome during Pregnancy and Its Socioeconomic Determinants

2018

Background: The urban exposome is the set of environmental factors that are experienced in the outdoor urban environment and that may influence child development. Objective: The authors’ goal was to describe the urban exposome among European pregnant women and understand its socioeconomic determinants. Methods: Using geographic information systems, remote sensing and spatio-temporal modeling we estimated exposure during pregnancy to 28 environmental indicators in almost 30,000 women from six population-based birth cohorts, in nine urban areas from across Europe. Exposures included meteorological factors, air pollutants, traffic noise, traffic indicators, natural space, the built environment…

[SDE] Environmental SciencesUrban PopulationHealth Toxicology and Mutagenesis05 Environmental SciencesNEIGHBORHOOD WALKABILITY010501 environmental sciencesToxicology01 natural sciences0302 clinical medicineUSE REGRESSION-MODELS11. Sustainability030212 general & internal medicineNITROGEN-DIOXIDE11 Medical And Health Sciences3. Good healthPeer reviewEuropeMESH: Urban PopulationGeographyGREEN SPACESMESH: Environmental PollutantsMESH: Young Adult[SDE]Environmental SciencesENVIRONMENTAL JUSTICEEnvironmental PollutantsFemaleAdultExposomemedicine.medical_specialtyMESH: Socioeconomic FactorsAdolescentMESH: Environmental ExposureYoung Adult03 medical and health sciencesEnvironmental healthmedicineMESH: CitiesHumansCitiesSocioeconomic status0105 earth and related environmental sciencesEnvironmental justiceMESH: AdolescentPregnancyMESH: HumansLand useLAND-USEResearchPublic healthPublic Health Environmental and Occupational HealthMESH: AdultEnvironmental Exposuremedicine.diseaseChild developmentAMBIENT AIR-POLLUTIONROAD TRAFFIC NOISERESIDENTIAL EXPOSURESocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie13. Climate actionCOHORT PROFILE[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieMESH: EuropeMESH: Female
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