Search results for "RISK-FACTORS"

showing 10 items of 76 documents

A blunted diurnal cortisol response in the lower educated does not explain educational differences in coronary heart disease: Findings from the AGES-…

2015

Lower educational attainment generally is a strong predictor of coronary heart disease (CHD). The underlying mechanisms of this effect are, however, less clear. One hypothesis is that stress related to limitations imposed by lower socioeconomic status elicits changes in hypothalamic-pituitary-adrenal axis functioning, which, in turn, increases risk of CHD. In a large cohort study, we examined whether educational attainment was related to risk of fatal and non-fatal CHD and the extent to which salivary cortisol mediated this relation independent of potential confounders, including lifestyles. Data came from 3723 participants aged 66 through 96 from the Age, Gene/Environment Susceptibility (A…

MaleGerontologyAgingSALIVARY CORTISOLHealth (social science)STRESSHydrocortisoneSocial Determinants of HealthIcelandOld agePituitary-Adrenal SystemCoronary DiseaseEducational attainmentCohort StudiesRisk FactorsMedicineSOCIOECONOMIC-STATUSMorningCause of deathAged 80 and overConfoundingta3141OLDER PERSONSAllostatic loadCircadian RhythmCoronary heart diseaseOF-THE-LITERATURECARDIOVASCULAR-DISEASEEducational Status/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleHypothalamo-Hypophyseal SystemEveningWHITEHALL-IIArticleHistory and Philosophy of ScienceSDG 3 - Good Health and Well-beingHumansSOCIAL INEQUALITIESALLOSTATIC LOADSalivaSocioeconomic statusAgedProportional hazards modelbusiness.industryStress responseHealth Status DisparitiesEducational attainmentRISK-FACTORSbusinessSocial Science and Medicine
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Mortality and health-related habits in 900 Finnish former elite athletes and their brothers.

2018

BackgroundThere is conflicting evidence on the associations between participation in vigorous sports, health habits, familial factors and subsequent mortality. We investigated all-cause mortality and health-related behaviour among former elite athletes and their brothers.MethodsThe mortality of Finnish male former elite athletes, who had represented Finland between 1920 and 1965 (n=900) and their age-matched brothers (n=900), was followed from the time when athlete started an elite athlete career until 31 December 2015. The age-adjusted HRs were calculated by a paired Cox proportional hazards model. In 2001, surviving participants (n=199 athletes and n=199 age-matched brothers) reported the…

MaleHealth BehaviorPoison controlADULTHOODmortality rate030204 cardiovascular system & hematologySuicide preventionOccupational safety and healthveljetCohort Studies0302 clinical medicinebrothersSurveys and QuestionnairesSELF-RATED HEALTHMedicineOrthopedics and Sports MedicinekohorttitutkimusFinlandSelf-rated healthALL-CAUSE MORTALITYAged 80 and overbiologySmokingTWIN COHORTGeneral Medicine3142 Public health care science environmental and occupational healthCohortCARDIORESPIRATORY FITNESSCohort studyhuippu-urheilijatkuolleisuusAdultmedicine.medical_specialtyelintavatAlcohol DrinkingDISEASE-SPECIFIC MORTALITYPhysical Therapy Sports Therapy and Rehabilitation03 medical and health sciencesYoung AdultInjury preventioncohort studyHumansMortalityCARDIOVASCULAR EVENTSExerciselifestyle habitsAgedProportional Hazards Modelstop athletesbusiness.industryAthletesSiblings030229 sport sciencesbiology.organism_classificationPHYSICAL-ACTIVITYAthletesPhysical therapyRISK-FACTORSbusinessFOLLOW-UPDemographyBritish journal of sports medicine
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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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Long-term leisure-time physical activity and other health habits as predictors of objectively monitored late-life physical activity – A 40-year twin …

2018

AbstractIMPORTANCEModerate-to-vigorous physical activity (MVPA) in old age is an important indicator of good health and functional capacity enabling independent living.OBJECTIVETo investigate whether physical activity and other health habits at ages 31-48 years predict objectively measured MVPA decades later.DESIGN, SETTING, AND PARTICIPANTSThis prospective twin cohort study in Finland comprised 616 individuals (197 complete twin pairs, including 91 monozygotic pairs, born 1940-1944), who responded to baseline questionnaires in 1975, 1981, and 1990, and participated in accelerometer monitoring at follow-up (mean age, 73 years).EXPOSURESPrimary exposure was long-term leisure-time physical ac…

MaleMultivariate statisticsFITNESSMonozygotic twinphysical activitylcsh:MedicineDETERMINANTS030204 cardiovascular system & hematologyOverweightCohort StudiesCorrelationHabits0302 clinical medicineEpidemiologyMedicineProspective Studies030212 general & internal medicinelcsh:Sciencetwin stydy2. Zero hungerMultidisciplinarySEDENTARY BEHAVIORRegression analysisMiddle Agedleisure-time3142 Public health care science environmental and occupational healthFemalemedicine.symptomHealth habitsvapaa-aikafyysinen aktiivisuusCohort studymedicine.medical_specialtyPhysical activityArticleSTYLE03 medical and health sciencesLeisure ActivitiesHumansOLDER-ADULTSExerciseSocioeconomic statusAgedMonitoring Physiologickaksostutkimusbusiness.industryDISABILITYMORTALITYlcsh:Rhealth habits030229 sport sciencesTwin studykaksosetpredictorsMOBILITYterveyskäyttäytyminenMultivariate AnalysisRISK-FACTORSlcsh:QFOLLOW-UPbusinessBody mass indexIndependent livingDemographyScientific Reports
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Repositioning of the global epicentre of non-optimal cholesterol

2020

Publisher's version (útgefin grein)

MaleMyocardial Ischemia/bloodBLOOD-PRESSUREtriglicéridos0302 clinical medicineCardiovascular diseases ; Risk factorsHDL cholesterol80 and overCARDIOVASCULAR RISK-FACTORSPublic health surveillance//purl.org/pe-repo/ocde/ford#3.02.04 [https]BlóðrásarsjúkdómarSocioeconomicsmediana edadComputingMilieux_MISCELLANEOUSPOPULATIONHypercholesterolemia/bloodAged 80 and overCholesterol HDL/bloodancianoeducation.field_of_studyKólesterólriskitekijätadulto3. Good healthadulto jovenTriglycerides/bloodCardiovascular diseasesGeographyCholesterolManchester Institute for Collaborative Research on AgeingCholesterol LDL/bloodDENSITY-LIPOPROTEIN CHOLESTEROLEndokrinologi och diabetesNCD Risk Factor Collaboration (NCD-RisC)Science & Technology - Other Topics//purl.org/becyt/ford/3 [https]Westernteorema de Bayesmedicine.medical_specialtyResearchInstitutes_Networks_Beacons/MICRAHDLMedicinaHypercholesterolemiahipercolesterolemiaNursingHEART-DISEASEEndocrinology and DiabetesHigh blood cholesterol.HDL-kolesteroliArticleLDLravintoHealth risk assessment03 medical and health sciences//purl.org/becyt/ford/3.3 [https]SDG 3 - Good Health and Well-beingBlood cholesterolHumanseducationSERUM-CHOLESTEROLVLAGAgedScience & TechnologyCholesterolPublic healthOmvårdnadHuman healthVDP::Medisinske Fag: 700::Basale medisinske odontologiske og veterinærmedisinske fag: 710Bayes TheoremATHEROSCLEROSIS SOCIETYRisk factorschemistryLipid-lowering medicationsFaculdade de Ciências SociaisEast and southeast Asiaalueelliset erotInternationalityNutrition and Disease[SDV]Life Sciences [q-bio]kolesterolihumanosMyocardial IschemiaMedizinadolescenteNon-HDL cholesterolBlood lipids030204 cardiovascular system & hematologyisquemia miocárdicachemistry.chemical_compoundCholesterol epidemiologyMEDICATION USEVoeding en ZiekteMedicine and Health SciencesAdolescent; Adult; Aged; Aged 80 and over; Bayes Theorem; Cholesterol HDL; Cholesterol LDL; Female; Humans; Hypercholesterolemia; Male; Middle Aged; Myocardial Ischemia; Stroke; Triglycerides; Young Adult; Internationality030212 general & internal medicine2. Zero hungerMultidisciplinaryMortality rateRepositioningStroke/blood1. No povertyPublic Health Global Health Social Medicine and EpidemiologycolesterolMiddle AgedVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 7103142 Public health care science environmental and occupational healthPeer reviewStrokeMultidisciplinary SciencesTrend analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalelipids (amino acids peptides and proteins)LIPIDSAdultAdolescentGeneral Science & TechnologyPopulationepicentre20-YEAR TRENDSYoung AdultmedicineLife Scienceddc:610accidente cerebrovascularDisease burdenTriglyceridesNutritionHigh density lipoproteinsnon-optimal cholesterolCholesterol HDLinternacionalidadCholesterol LDLTreatmentFolkhälsovetenskap global hälsa socialmedicin och epidemiologi
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The Molecular Genetic Architecture of Self-Employment

2013

Economic variables such as income, education, and occupation are known to affect mortality and morbidity, such as cardiovascular disease, and have also been shown to be partly heritable. However, very little is known about which genes influence economic variables, although these genes may have both a direct and an indirect effect on health. We report results from the first large-scale collaboration that studies the molecular genetic architecture of an economic variable-entrepreneurship-that was operationalized using self-employment, a widely-available proxy. Our results suggest that common SNPs when considered jointly explain about half of the narrow-sense heritability of self-employment es…

MaleNetherlands Twin Register (NTR)Multifactorial InheritanceHeredityEpidemiologyEconomicsIntelligenceTwinsGenome-wide association studyCORONARY HEART-DISEASESocial and Behavioral SciencesTheoreticalMissing heritability problemModelsMISSING HERITABILITYMicroeconomicsTwins DizygoticSOCIOECONOMIC-STATUSRegistriesGenetics0303 health sciencesMultidisciplinaryStatistics05 social sciencesQRGenomicsSingle NucleotideOccupational and Industrial Health/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth3. Good healthCARDIOVASCULAR-DISEASEGenetic EpidemiologyMeta-analysisScience & Technology - Other TopicsMedicineFemalePublic HealthBehavioral and Social Aspects of HealthResearch ArticlePersonalityEmploymentGenotypeClinical Research DesignGeneral Science & Technology515 PsychologyScienceeducationSingle-nucleotide polymorphismBiostatisticsBiologyPolymorphism Single NucleotideMonozygotic03 medical and health sciencesGenome Analysis Tools0502 economics and businessMD MultidisciplinaryGenome-Wide Association StudiesGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_DizygoticHumansStatistical MethodsHuman heightPolymorphismGENOME-WIDE ASSOCIATIONBiology030304 developmental biologyGenetic associationEDUCATIONAL-ATTAINMENTScience & TechnologyComplex TraitsMULTIDISCIPLINARY SCIENCESComputational BiologyHuman GeneticsSDG 8 - Decent Work and Economic GrowthTwins Monozygoticta3121HeritabilityModels TheoreticalGenetic architectureCOMMON SNPS EXPLAINLARGE PROPORTIONGenetic PolymorphismRISK-FACTORSGene-Environment Interaction3111 BiomedicineMeta-AnalysesHUMAN HEIGHTPopulation GeneticsMathematics050203 business & managementGenome-Wide Association Study
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Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million …

2016

Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

MaleObesidadCHILDRENSaludReviewpaíses desarrolladosGlobal HealthBody Mass IndexBody mass index population study0302 clinical medicineModelsFactores de riesgo cardiovascularMedicinebody mass index ; underweight ; overweight ; obesityYoung adultHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidGeneral MedicineASSOCIATION11 Medical And Health Sciencesadultopredicciónadulto jovenCARDIOVASCULAR-DISEASEthinness/epidemiologyNONCOMMUNICABLE DISEASESNCD Risk Factor Collaboration (NCD-RisC)Enfermedades cardiovascularesDeveloped countryteorema de BayesMedical sciences03 medical and health sciencesSDG 3 - Good Health and Well-beingThinnessHumanseducationDeveloping CountriesobesidadVLAGScience & TechnologyModels StatisticalCAUSE-SPECIFIC MORTALITYBayes Theoremmedicine.diseaseQPObesityadult body-massIndice de masa corporal (IMC)RISK-FACTORSAdolescent; Adult; Bayes Theorem; Body Mass Index; Developed Countries; Developing Countries; Female; Forecasting; Global Health; Humans; Male; Models Statistical; Obesity/epidemiology; Prevalence; Thinness/epidemiology; Young AdultRABody mass indexDemographyMeta-AnalysisGerontologySettore MED/09 - Medicina InternaNutrition and DiseasehumanosadolescenteOverweightpaíses en desarrolloVoeding en ZiekteMedicine and Health SciencesGlobal healthPrevalence030212 general & internal medicineNon-U.S. Gov'tMedicine (all)Research Support Non-U.S. Gov'tprevalenciaPublic Health Global Health Social Medicine and EpidemiologyStatisticalAdolescent; Adult; Bayes Theorem; Developed Countries; Developing Countries; Female; Forecasting; Humans; Male; Models Statistical; Obesity; Prevalence; Thinness; Young Adult; Body Mass Index; Global Health; Medicine (all)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleUnderweightmedicine.symptompooled analysisLife Sciences & Biomedicineobesity/*epidemiologyAdultAdolescentPopulation030209 endocrinology & metabolismResearch SupportYoung AdultMedicine General & InternalEPIDEMICGeneral & Internal MedicineJournal ArticleLife Scienceddc:610ObesityObesidad morbidaOBESITY PREVENTIONOVERWEIGHTbusiness.industryDeveloped Countriesíndice de masa corporalCOHORTS//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiCiencias socio biomédicasbusinessdelgadezForecasting
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Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

2020

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347

MaleOriginalmedicine.medical_treatmentartificialCritical Care and Intensive Care MedicineMedical and Health SciencesPressure ulcerlaw.inventionDecubitus epidemiology; ICU; Morbidity; Mortality; Outcome; Pressure injury; Pressure ulcer; Risk factors; Adult; Aged; Hospital Mortality; Humans; Male; Patient Discharge; Prevalence; Risk Factors; Intensive Care Units; Respiration Artificial0302 clinical medicineDecubitus epidemiologydecubitus epidemiology ; ICU ; pressure injury ; pressure ulcer ; outcome ; risk factors ; morbidity ; mortalitylawMedicine and Health SciencesadultsPrevalenceMedicineHospital MortalitySimplified Acute Physiology Scoredecubitus epidemiology; icu; pressure injury; pressure ulcer; outcome; risk factors; morbidityziekenhuissterfteImmunodeficiencyintensive careOutcomeEuropean Society of Intensive Care Medicine (ESICM) Trials Group CollaboratorsmannenvolwassenenCOSTIntensive care unitSTATEPatient DischargeIntensive Care UnitsULCERSUnderweightmedicine.symptomLife Sciences & BiomedicineDecubitus epidemiology; ICU; Morbidity; Mortality; Outcome; Pressure injury; Pressure ulcer; Risk factorsHumanAdultmedicine.medical_specialtyrisicofactorenDecubitus epidemiology ICU Pressure injury Pressure ulcer Outcome Risk factors Morbidity Mortalitypressure injuriesIntensive Care UnitprevalentieNO1117 Public Health and Health ServicesDecubICUs Study Team03 medical and health sciencesCritical Care MedicineAnesthesiologyGeneral & Internal MedicineHealth SciencesouderenHumansMortalityAgedMechanical ventilationScience & Technologybusiness.industrydecubitusRisk Factor030208 emergency & critical care medicine1103 Clinical SciencesOdds ratiomedicine.diseaseRespiration ArtificialEmergency & Critical Care MedicineConfidence interval030228 respiratory systemRisk factorsEmergency medicineICUkunstmatige ademhalingRISK-FACTORSMorbiditybusinessPressure injuryrespiration
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Clustering of energy balance-related behaviors and parental education in European children: the ENERGY-project

2013

Published version of an article in the journal: International Journal of Behavioral Nutrition and Physical Activity. Also available from the publisher at: http://dx.doi.org/10.1186/1479-5868-10-5 Open access Background: Recent research and literature reviews show that, among schoolchildren, some specific energy balance-related behaviors (EBRBs) are relevant for overweight and obesity prevention. It is also well known that the prevalence of overweight and obesity is considerably higher among schoolchildren from lower socio-economic backgrounds. This study examines whether sugared drinks intake, physical activity, screen time and usual sleep duration cluster in reliable and meaningful ways am…

MaleParentsGerontologyCross-sectional studyenergy balance-related behavioursHealth BehaviorChild BehaviorMedicine (miscellaneous)OverweightENERGYDietary SucroseSurveys and QuestionnairesMedicine and Health SciencesOdds RatioSOCIOECONOMIC-STATUSChildChildrenNutrition and Dieteticsparental educationSEDENTARY BEHAVIORVDP::Medical disciplines: 700::Health sciences: 800WEIGHT-GAINEuropeSLEEP DURATIONEducational StatusLIFE-STYLEFemaleSCHOOL-AGED CHILDRENCHILDHOOD OBESITYmedicine.symptomEnergy balance-related behaviorsParental educationPhysical Therapy Sports Therapy and RehabilitationMotor ActivityChildhood obesityScreen timeCluster analysischildrenmedicineHumansObesityExerciseSocioeconomic statusSedentary lifestyleOBESITY PREVENTIONbusiness.industryResearchFeeding Behaviormedicine.diseaseObesityPhysical activity levelDietPHYSICAL-ACTIVITYCross-Sectional StudiesRISK-FACTORSSedentary BehaviorEnergy IntakeEnergy MetabolismSleepbusinessDemographycluster analysis
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Direct and indirect associations between the family physical activity environment and sports participation among 10-12 year-old European children: te…

2013

Published version of an article in th journal: International Journal of Behavioral Nutrition and Physical Activity. Also available from the publisher at: http://dx.doi.org/10.1186/1479-5868-10-15 Open access Background. Sport participation makes an important contribution to children’s overall physical activity. Understanding influences on sports participation is important and the family environment is considered key, however few studies hav explored the mechanisms by which the family environment influences children’s sport participation. The purpose of this study was to examine whether attitude, perceived behavioural control, health belief and enjoyment mediate associations between the fami…

MaleParentsPleasurefamilyCross-sectional studyCultureEmotionsHappinessHealth BehaviorChild BehaviorMedicine (miscellaneous)physical activityDevelopmental psychologySports Equipment0302 clinical medicinePARENTSDESIGNADOLESCENTSMedicine and Health SciencesHealth belief model030212 general & internal medicineChildChildrenDeterminantsSportNutrition and DieteticscognitionsdeterminantsVDP::Medical disciplines: 700::Health sciences: 80016. Peace & justiceDISEASE RISK-FACTORSYOUTH SPORTSelf EfficacyPeer reviewEuropeCognitionsRegression AnalysisFemalePsychologyAttitude to HealthSocial psychologyBEHAVIORSportsMediation (statistics)Behavioural sciencesPhysical Therapy Sports Therapy and RehabilitationEnvironmentORGANIZED SPORTS03 medical and health sciencesSocial supportchildrenFinancial SupportHumansFamilymediationExerciseSelf-efficacyPhysical activityResearchMediationSocial SupportSELF-EFFICACY030229 sport scienceshomeCross-Sectional StudiesHealth promotionPerceptionSelf ReportHomesportEXPENDITURE
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