Search results for "Voeding en Ziekte"

showing 10 items of 25 documents

Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

2016

BACKGROUND: In transitioning from the Millennium Development Goal to the Sustainable Development Goal era, it is imperative to comprehensively assess progress toward reducing maternal mortality to identify areas of success, remaining challenges, and frame policy discussions. We aimed to quantify maternal mortality throughout the world by underlying cause and age from 1990 to 2015.METHODS: We estimated maternal mortality at the global, regional, and national levels from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories, 11 of which were analysed at the subnational level. We quantified eight underl…

0301 basic medicinePediatricsNutrition and DiseaseMILLENNIUM DEVELOPMENT GOALSSUSTAINABLE DEVELOPMENT GOALSANTENATAL CAREGlobal Health0302 clinical medicineVoeding en Ziekte11. SustainabilityGlobal healthHQHealthcare FinancingEMERGENCY OBSTETRIC CARE030212 general & internal medicineCooperative Behavior10. No inequalityReproductive healthMedicine(all)education.field_of_study030219 obstetrics & reproductive medicineMedicine (all)1. No povertyObstetrics and GynecologyPublic Health Global Health Social Medicine and EpidemiologyPrenatal CareGeneral Medicine11 Medical And Health SciencesLOW-RESOURCE SETTINGS3142 Public health care science environmental and occupational healthFamily Planning Service3. Good healthGBD 2015 Maternal Mortality CollaboratorsGovernment ProgramsMaternal MortalityReproductive HealthFamily Planning ServicesMaternal deathHEALTHLife Sciences & BiomedicineHumanCOUNTRIESmedicine.medical_specialtyPopulation610Prenatal careArticle03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingCASH TRANSFER PROGRAMEnvironmental healthGeneral & Internal Medicineparasitic diseasesmedicineLife ScienceQUALITYHumansGlobal Burden of Disease StudyeducationVLAGScience & TechnologyMedical Assistancebusiness.industryKlinisk medicinParturitionObstetric transitionmedicine.diseaseQPInfant mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiStandardized mortality ratio030104 developmental biologyRISK-FACTORSRGClinical MedicinebusinessRA
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Low toenail chromium concentration and increased risk of nonfatal myocardial infarction

2005

Chromium intake may increase insulin sensitivity, glucose tolerance, and the ratio of high density lipoprotein cholesterol to low density lipoprotein cholesterol. However, the epidemiologic evidence on the association between chromium and cardiovascular disease is very limited. To determine whether low toenail chromium concentrations were associated with risk of nonfatal myocardial infarction, the authors conducted an incident, population-based, case-control study in eight European countries and Israel in 1991-1992. Cases (n = 684) were men with a first diagnosis of myocardial infarction recruited from the coronary units of participating hospitals. Controls (n = 724) were men selected rando…

ChromiumMaleRiskmedicine.medical_specialtyNutrition and DiseaseEpidemiologyInternational CooperationPopulationMyocardial Infarctioncardiovascular-diseaseChromium deficiencysupplementspicolinateRisk FactorsInternal medicineVoeding en ZiekteEpidemiologymedicineHumansMyocardial infarctionRisk factorglucoseeducationVLAGGlobal Nutritioneducation.field_of_studyWereldvoedingbusiness.industrycoronary-arteryCase-control studyweightOdds ratioNeutron Activation AnalysisMiddle AgedToesmedicine.diseaseConfidence intervalSurgerynutritionNailsCase-Control StudiesdietaryatherosclerosisbusinessmetaanalysisAmerican Journal of Epidemiology
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Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analy…

2019

Background Maternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these effects differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact. Methods and findings We conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, No…

Data AnalysisembarazoMaternal HealthBlood PressureCHILDRENWeight GainCardiovascularVascular MedicineBody Mass Index0302 clinical medicineEndocrinologyPregnancyMedicineMass indexestudios de cohortesCancer030219 obstetrics & reproductive medicineStatisticsWOMENta3141General Medicine030220 oncology & carcinogenesisMeta-analysisPhysical SciencesMedicineGestationHEALTHINTERVENTIONChildhood ObesityEndocrine Disorders03 medical and health sciencesHypertensive Disorders in PregnancyClinical ResearchDiabetes MellitusHumansGestational DiabetesStatistical MethodsPregnancyIndividual participant dataPreventionAustraliaBiology and Life SciencesOdds ratiomedicine.diseaseObesityGeneric health relevanceBody mass indexMathematicsDemographyPediatric ObesityNutrition and DiseasePhysiologyhumanosReproductive health and childbirth030204 cardiovascular system & hematologyOverweightMedical and Health SciencesOral and gastrointestinalCohort StudiesMathematical and Statistical TechniquesRisk FactorsVoeding en ZiekteOFFSPRING OBESITYMedicine and Health Sciences030212 general & internal medicineChildhood obesity2. Zero hungerPediatricsobrepesoMedicine (all)RObstetrics and GynecologyMetaanalysis3142 Public health care science environmental and occupational healthGestational Weight Gainobesidad pediátricaEuropeStrokePREGNANCYPhysiological Parametersgestational weight gain pregnancy obesityHypertensionFemalemedicine.symptomResearch ArticleBIRTH[SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetricsResearch and Analysis MethodsChildhood obesityGeneral & Internal Medicinefactores de riesgoLife ScienceObesityMetabolic and endocrineNutritionbusiness.industryíndice de masa corporalBody WeightOverweight3121 General medicine internal medicine and other clinical medicineMetabolic DisordersNorth AmericaWomen's HealthbusinessMaternal bodyGestiational diabetesWeight gainPLOS Medicine
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Carga global, regional y nacional de neurológicas. Desórdenes, 1990-2016: un análisis sistemático para el Global Estudio de la carga de enfermedad 20…

2019

Publisher´s version (útgefin grein).

DánarmeinMaleEpidemiologyDiseasesMalalties cerebralsGlobal Burden of DiseaseDisability Evaluation0302 clinical medicineCase fatality ratePsychologyKonurCause of deathAged 80 and overeducation.field_of_studyIncidenceMenTaugavísindiddc:3. Good healthSálfræðiWorld healthMuerteNeurologyGBD 2016 Neurology CollaboratorsBrain diseasesQuality-Adjusted Life YearsAlzheimer diseaseCarga global de enfermedadesNervous systemmedicine.medical_specialtyGlobal burden of diseasesLífsgæðiArticle03 medical and health sciencesHealth SciencesHumansWomeneducationTrastornos neurológicosVLAGAgedScience & Technology3112 NeurosciencesGlobal Burden of Diseases030104 developmental biologyYears of potential life lostΕπιστήμες ΥγείαςDementiaHuman medicineNeurosciences & NeurologyNeurology (clinical)Clinical Medicine1109 NeurosciencesNeurological disorders030217 neurology & neurosurgerydementiaRC0301 basic medicinePediatricsDánartíðniNutrition and Disease3124 Neurology and psychiatryDisease StudyTaugasjúkdómarRisk FactorsVoeding en ZiekteCause of DeathGlobal healthPrevalenceNeurological disorders; Global Burden of DiseasesCauses of deathPublic healthMortality rateMental DisordersAge FactorsPublic Health Global Health Social Medicine and EpidemiologyMiddle Agedneurologic diseaseDeathLýðheilsaFemaleLife Sciences & BiomedicineQuality of lifeAdultPopulationClinical NeurologySex FactorsmedicineLife ScienceDisability-adjusted life year:Medicine [Science]MortalityPsychiatryDisease burdenNeurology & Neurosurgeryburden of neurological disordersFaraldsfræðibusiness.industryKlinisk medicinCauses de la mort1103 Clinical SciencesFolkhälsovetenskap global hälsa socialmedicin och epidemiologiSocioeconomic FactorsKarlarglobal disease burdenNervous System DiseasesCause of death/trendsbusiness
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Towards the integration and development of a cross-European research network and infrastructure: the DEterminants of DIet and Physical ACtivity (DEDI…

2014

To address major societal challenges and enhance cooperation in research across Europe, the European Commission has initiated and facilitated ‘joint programming’. Joint programming is a process by which Member States engage in defining, developing and implementing a common strategic research agenda, based on a shared vision of how to address major societal challenges that no Member State is capable of resolving independently. Setting up a Joint Programming Initiative (JPI) should also contribute to avoiding unnecessary overlap and repetition of research, and enable and enhance the development and use of standardised research methods, procedures and data management. The Determinants of Diet …

GerontologyHealth Knowledge Attitudes PracticeobesityKnowledge managementNutrition and DiseaseDebateHealth BehaviordesignPsychological interventionMedicine (miscellaneous)Physical activity; nutrition; sedentary behavior; prevention; lifestyle; determinants; measurement; interventions; joint programmingPromotion (rank)DESIGNddc:150preventionMedizinische FakultätVoeding en Ziektesedentary behaviorMedicine and Health SciencesMedicineInterventionsDeterminantssciencemedia_commonMeasurementNutrition and DieteticsdeterminantsBenchmarkingSCIENCEDietsjoint programmingPolicynutritionOBESITYPUBLIC-HEALTHAlimentation et NutritionLife course approachDiet Physical activity Sedentary behaviour Joint programming Lifestyle Prevention Measurement Determinants Interventions Policylifestylemedia_common.quotation_subjectPhysical Therapy Sports Therapy and Rehabilitation-Health Promotionpublic-healthMotor ActivityWhite PeopleFOODJoint programmingframeworkFood and NutritionHumansddc:610interventionsPhysiologieHealth policySedentary lifestyleVLAGbusiness.industryPhysical activityPreventionfoodMonitoring and evaluationSedentary behaviourFRAMEWORKLifestyleDietHealth promotionDiet;Physical activity;Sedentary behaviour;Joint programming;Lifestyle;Prevention;Measurement;Determinants;Interventions;Policyphysiologymeasurementbusinessinterventions ; diet ; measurement ; prevention ; determinants ; policy ; joint programming ; lifestyle ; sedentary behaviour ; physical activityInternational Journal of Behavioral Nutrition and Physical Activity
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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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Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes

2019

Importance: Both low and high gestational weight gain have been associated with adverse maternal and infant outcomes, but optimal gestational weight gain remains uncertain and not well defined for all prepregnancy weight ranges. Objectives: To examine the association of ranges of gestational weight gain with risk of adverse maternal and infant outcomes and estimate optimal gestational weight gain ranges across prepregnancy body mass index categories. Design, setting, and participants: Individual participant-level meta-analysis using data from 196 670 participants within 25 cohort studies from Europe and North America (main study sample). Optimal gestational weight gain ranges were estimated…

Gestational hypertensionNutrition and Disease01 natural sciencesBody Mass Index0302 clinical medicinePregnancyVoeding en ZiekteMedicineBirth Weight030212 general & internal medicineObstetricsDiabetesPregnancy OutcomeGestational ageGeneral MedicineCesarean Section/statistics & numerical dataAdult; Birth Weight; Cesarean Section; Diabetes Gestational; Female; Humans; Hypertension Pregnancy-Induced; Infant Newborn; Obesity; Pregnancy; Premature Birth; Body Mass Index; Gestational Weight Gain; Pregnancy Complications; Pregnancy OutcomeGestational Weight GainGestational diabetesPremature birthGestationalHypertensionPremature BirthFemalemedicine.symptomUnderweightPREGNANT-WOMENAdultmedicine.medical_specialtyBirth weightPregnancy-InducedHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]03 medical and health sciencesAll institutes and research themes of the Radboud University Medical CenterLife ScienceHumansObesity0101 mathematicsbusiness.industryCesarean Section010102 general mathematicsInfant NewbornInfantHypertension Pregnancy-Inducedmedicine.diseaseNewbornReconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10]BODY-MASS INDEXPregnancy ComplicationsDiabetes GestationalbusinessBody mass indexWeight gain
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Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, …

2019

ObjectiveTo assess the separate and combined associations of maternal pre‐pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact.DesignIndividual participant data meta‐analysis of 39 cohorts.SettingEurope, North America, and Oceania.Population265 270 births.MethodsInformation on maternal pre‐pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used.Main outcome measuresGestational hypertension, pre‐eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth.ResultsHigher maternal pre‐pregnancy BMI and gesta…

Gestational hypertensionand promotion of well-beingNutrition and DiseaseBirthweightReproductive health and childbirthLow Birth Weight and Health of the NewbornCardiovascularMedical and Health SciencesDISEASECohort Studies0302 clinical medicine3123 Gynaecology and paediatricsRisk FactorsPregnancyVoeding en ZiekteInfant MortalityOdds RatioMedicineBirth Weight2.1 Biological and endogenous factorsEPIDEMIOLOGYwq_200Aetiology2. Zero hungerPediatricRISKeducation.field_of_studyOUTCOMES030219 obstetrics & reproductive medicineObstetricspregnancy complicationsDiabetesObstetrics and GynecologyGestational ageweight gainASSOCIATIONGestational Weight GainGestational diabetesEuropeBirthweight ; Body Mass Index ; Pregnancy Complications ; Preterm Birth ; Weight GainOBESITYFemalemedicine.symptomAdultmedicine.medical_specialtyPRETERM BIRTHBirth weightPopulationGestational Agebody mass index[SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetricswa_310Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]03 medical and health sciencesAll institutes and research themes of the Radboud University Medical CenterPretermClinical ResearchHumanswq_100ObesityeducationObstetrics & Reproductive MedicineMetabolic and endocrineNutritionPregnancybusiness.industryContraception/ReproductionPreventionBirthweight; body mass index; pregnancy complications; preterm birth; weight gainAustraliaInfantbirth weightpreterm birthDIABETES-MELLITUSPreterm birth weight gainOverweightPerinatal Period - Conditions Originating in Perinatal Periodmedicine.diseaseNewbornPrevention of disease and conditionsReconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10]Good Health and Well BeingNorth America3.1 Primary prevention interventions to modify behaviours or promote wellbeingpregnancy complicationbusinessWeight gainBody mass indexwb_200
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The Role of Self-Control and the Presence of Enactment Models on Sugar-Sweetened Beverage Consumption: A Pilot Study

2019

The objective of the present research was to investigate associations of dispositional and momentary self-control and the presence of other individuals consuming SSBs with the consumption frequency of sugar-sweetened beverages (SSBs) in a multi-country pilot study. We conducted an Ambulatory Assessment in which 75 university students (52 females) from four study sites carried smartphones and received prompts six times a day in their everyday environments to capture information regarding momentary self-control and the presence of other individuals consuming SSBs. Multilevel models revealed a statistically significant negative association between dispositional self-control and SSB consumption…

Global NutritionWereldvoedingNutrition and DiseaseVLAG Alcsh:BF1-990Sugar-sweetened beveragesBrief Research ReportDietSocial normslcsh:PsychologySelf-controlVoeding en Ziekte150 PsychologiePsychologySocial norms ; Diet ; Sugar-sweetened beverages ; Ecological momentary assessment ; Self-control150 PsychologyEcological momentary assessmentGeneral PsychologyVLAG
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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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