Search results for "ALL-CAUSE"

showing 10 items of 30 documents

Physical activity, fitness, and all-cause mortality: An 18-year follow-up among old people

2016

Background: Little is known about change in physical activity (PA) and its relationship to all-cause mortality among old people. There is even less information about the association between PA, fitness, and all-cause mortality among people aged 80 years and above. The objective is to investigate persistence and change in PA over 5 years as a predictor of all-cause mortality, and fitness as a mediator of this association, among people aged 80 and 85 years at the beginning of an 18-year mortality follow-up period. Methods: Using Evergreen Project data (started in 1989), 4 study groups were formed according to self-reported changes in PA level, over a 5-year period (starting in 1989–1990 and e…

GerontologyPhysical activityphysical activityPhysical Therapy Sports Therapy and Rehabilitationlcsh:GV557-1198.99503 medical and health sciences0302 clinical medicineMedicineOrthopedics and Sports Medicine030212 general & internal medicineFunctional abilitylcsh:Sports medicineta315lcsh:Sportsold peoplebusiness.industryFollow up studiesta3141ta3142030229 sport sciencesfitnessRegular paperall-cause mortalitylcsh:RC1200-1245businessAll cause mortalityJournal of Sport and Health Science
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Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons

2019

The multidimensional prognostic index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that accurately predicts negative health outcomes in older subjects with different diseases and settings. To calculate the MPI several validated tools are assessed by health care professionals according to the CGA, whereas self-reported information by the patients is not available, but it could be of importance for the early identification of frailty. We aimed to develop and validate a self-administered MPI (SELFY-MPI) in community-dwelling subjects. For this reason, we enrolled 167 subjects (mean age = 67.3, range = 20-88 years, 51% = men). All subjects underwent a CGA-based assessment to c…

Male0301 basic medicineGerontologySelf-assessmentendocrine systemAgingIndex (economics)Self AdministrationHealth outcomes03 medical and health sciences0302 clinical medicineall-cause mortality risk factor multidimensional prognostic index self-assessment comprehensive geriatric assessment socioeconomic analysissocioeconomic analysisActivities of Daily LivingHumansMedicineRisk factorAgedAged 80 and overbusiness.industryGeriatric assessmentOriginal ArticlesMiddle Agedcomprehensive geriatric assessmentPrognosisself-assessmentmultidimensional prognostic index030104 developmental biologyrisk factorSelf-Administeredall-cause mortalityFemaleIndependent LivingPublic HealthGeriatrics and Gerontologybusiness030217 neurology & neurosurgeryAll cause mortality
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Relative peak exercise oxygen pulse is related to sudden cardiac death, cardiovascular and all-cause mortality in middle-aged men

2018

Background Preliminary evidence suggests that peak exercise oxygen pulse – peak oxygen uptake/heart rate-, a variable obtained during maximal cardiopulmonary exercise testing and a surrogate of stroke volume, is a predictor of mortality. We aimed to assess the associations of peak exercise oxygen pulse with sudden cardiac death, fatal coronary heart disease and cardiovascular disease and all-cause mortality. Design A prospective study. Methods Peak exercise oxygen pulse was assessed in a maximal cycling test at baseline in 2227 middle-aged men of the Kuopio Ischaemic Heart Disease cohort study using expired gas variables and electrocardiograms. Relative peak exercise oxygen pulse was obtain…

MaleEpidemiologyDisease030204 cardiovascular system & hematologySudden cardiac deathrisk prediction0302 clinical medicineHeart RateRisk Factorscardiovascular diseaseCause of DeathMedicineProspective Studies030212 general & internal medicineäkkikuolemata315FinlandPulse (signal processing)Age FactorsVO2 maxta3141Stroke volumeta3142riskitekijätMiddle AgedPrognosispeak exercise oxygen pulseCardiovascular DiseasesCardiologyall-cause mortalityaerobinen suorituskykyCardiology and Cardiovascular MedicineCohort studymedicine.medical_specialtyOxygen pulsekuntotestitcardiopulmonary exercise testinRisk Assessmentsudden cardiac death03 medical and health sciencesOxygen ConsumptionSex FactorsPeak exercise oxygen pulsePredictive Value of TestsInternal medicineHeart ratecardiopulmonary exercise testingHumanssydäntauditbusiness.industrymedicine.diseaseDeath Sudden CardiacPhysical FitnessExercise Testsydän- ja verisuonitauditbusiness
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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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Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: the Cardiovascular Risk in Young Finns …

2021

Background Evidence on whether leisure-time physical activity (LTPA) facilitates individuals’ adoption of multiple healthy behaviors remains scarce. This study investigated the associations of diverse longitudinal LTPA trajectories from childhood to adulthood with diet, screen time, smoking, binge drinking, sleep difficulties, and sleep duration in adulthood. Methods Data were drawn from the Cardiovascular Risk in Young Finns Study. Participants were aged 9–18 years (N = 3553; 51% females) in 1980 and 33–49 years at the latest follow-up in 2011. The LTPA trajectories were identified using a latent profile analysis. Differences in self-reported health-related behaviors across the LTPA trajec…

MaleGATEWAY BEHAVIORHealth BehaviorCHILDHOODTrajectoryphysical activityBinge drinkingruokavaliotRisk FactorsChildFinlandALL-CAUSE MORTALITYASSOCIATIONSalcohollcsh:Public aspects of medicineSmoking3142 Public health care science environmental and occupational healthCardiovascular DiseasesADOLESCENCEscreen timetrajectorySLEEP DURATIONFemaleAlcoholfyysinen aktiivisuusResearch ArticleAdultelintavatAdolescentlongitudinallife-courseruutuaikapitkittäistutkimuselämänkaarismokinguni (lepotila)Young AdultLeisure ActivitiesLife-coursetupakointiHumanssleepExercisealkoholi (päihteet)FOOD FREQUENCY QUESTIONNAIREGENDER-DIFFERENCESPhysical activitylcsh:RA1-1270Screen timebinge drinkingDiethumalahakuisuusHeart Disease Risk FactorsterveyskäyttäytyminenLongitudinaldietSleepBMC Public Health
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Health effects of overweight and obesity in 195 countries over 25 years

2017

Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adult…

MaleGerontologyPediatric ObesityobesityVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803global healthDiseaseOverweightGlobal HealthVDP::Social science: 200::Demography: 300DISEASEVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineRA0421PandemicPrevalenceadultsGlobal health030212 general & internal medicineChildhumansALL-CAUSE MORTALITYchildadult1. No povertypediatric obesity/epidemiology11 Medical And Health SciencesGeneral MedicineCANCER3. Good healthfemaleVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803Cardiovascular DiseasesCohortFemalemedicine.symptomLife Sciences & BiomedicineobesitatResearch ArticleAdultprevalenceoverweight/complications/epidemiologyWEIGHT-LOSS030209 endocrinology & metabolismKNEE OSTEOARTHRITISVDP::Samfunnsvitenskap: 200::Demografi: 300VDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencescardiovascular diseases/complications/mortalityMedicine General & InternalchildrenmaleGeneral & Internal MedicineEnvironmental healthmedicineHumansoverweightCOHORTObesityDisease burdenMETAANALYSISScience & TechnologyGBD 2015 Obesity Collaboratorsbusiness.industryADULTSOverweightmedicine.diseaseObesityPREVENTIONBODY-MASS INDEXCross-Sectional StudiesbusinessBody mass indexobesity/complications/*epidemiology
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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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Association of central and peripheral pulse pressure with intermediate cardiovascular phenoytpes

2012

Objective: We assessed the relationship between pulse pressure and intermediate cardiovascular phenotypes in a middle-aged cohort with high prevalence of hypertension. Background: It has been suggested that central pulse pressure (cPP) is a better predictor of cardiovascular outcome than peripheral pulse pressure (pPP), particularly in the elderly. Yet, it is unclear if cPP provides additional prognostic information to pPP in younger individuals. Methods: In 535 individuals we assessed cPP and pPP as well as the intermediate cardiovascular phenotypes pulse wave velocity (PWV; SphygmoCor, Complior, PulsePen), carotid intima-media thickness (C-IMT; carotid ultrasound), left-ventricular mass i…

MalePhysiologyintermediate cardiovascular phenotypesBlood Pressure030204 cardiovascular system & hematologysurrogate markersCohort Studiespressure0302 clinical medicineHeart Ratepulse wave analysis030212 general & internal medicinerisk-factorsstage renal-diseasePulse wave velocitypulse wave analysiMiddle AgedPhenotypePeripheralPulse pressureleft ventricular hypertrophyarterial stiffnessPhenotypeaortic pressureAortic pressureCardiologyall-cause mortalityFemaleCardiology and Cardiovascular MedicineHumanAdultmedicine.medical_specialtyMean arterial pressurehypertensioncollaborative trial acctpulse wave velocityhypertension; intermediate cardiovascular phenotypes; intimamedia thickness; left ventricular hypertrophy; pressure; pulse wave analysis; pulse wave velocity; Adult; Cohort Studies; Female; Humans; Hypertension; Male; Middle Aged; Phenotype; Blood Pressure; Heart Rate; Internal Medicine; Physiology; Cardiology and Cardiovascular Medicinebrachial blood-pressurewave reflectionsteady component03 medical and health sciencesintermediate cardiovascular phenotypeInternal medicineHeart ratemedicineInternal MedicineHumansintima-media thicknessintimamedia thicknebusiness.industrymedicine.diseaseintimamedia thicknessBlood pressureIntima-media thicknessArterial stiffnessCohort Studiebusiness
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Rate vs. rhythm control and adverse outcomes among European patients with atrial fibrillation

2018

Aim The impact of rate and rhythm control strategies on outcomes in patients with atrial fibrillation (AF) remains controversial. Our aims were: to report use of rate and rhythm control strategies in European patients from the EURObservational Research Program AF General Pilot Registry. Secondly, to evaluate outcomes according to assigned strategies. ........................................................................................................................................................... Methods and results Use of pure rate and rhythm control agents was described according to European regions. 1-year follow-up data were reported. Among rate control strategies, beta-blockers …

MaleTime FactorsRate controlAction PotentialsPilot Projects030204 cardiovascular system & hematologyAmiodaroneAction Potentials/drug effectsHeart Conduction System/drug effectsCardiologists0302 clinical medicineHeart RateRisk FactorsCause of DeathAtrial Fibrillation030212 general & internal medicineRegistriesPractice Patterns Physicians'Cause of deathAged 80 and overAll-cause death; Atrial fibrillation; Major adverse events; Rate control; Registry; Rhythm controlHeart Rate/drug effectsAtrial fibrillationMiddle AgedEuropeTreatment OutcomeCohortCardiologyHealthcare Disparities/trendsRhythm controlFemaleCardiology and Cardiovascular MedicineAnti-Arrhythmia AgentsCardiologists/trendsmedicine.drugmedicine.medical_specialtyMajor adverse eventsRegistryAll-cause deathAnti-Arrhythmia Agents/adverse effectsEurope/epidemiology03 medical and health sciencesHeart Conduction SystemPhysiology (medical)Internal medicineHeart ratemedicineAtrial Fibrillation/diagnosisHumansHealthcare DisparitiesAdverse effectAgedbusiness.industryProportional hazards modelmedicine.diseaseAtrial fibrillationPractice Patterns Physicians'/trendsAtrial fibrillation • Rate control • Rhythm control • Major adverse events • All-cause death • RegistryPropensity score matchingbusiness
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The effect of high-volume online haemodiafiltration on nutritional status and body composition: the ProtEin Stores prEservaTion (PESET) study

2018

Background Compared with conventional haemodialysis (HD), online haemodiafiltration (OL-HDF) achieves a more efficient removal of uraemic toxins and reduces inflammation, which could favourably affect nutritional status. We evaluate the effect of OL-HDF on body composition and nutritional status in prevalent high-flux HD (HF-HD) patients. Methods In all, 33 adults with chronic kidney disease (CKD) Stage 5 undergoing maintenance HF-HD were assigned to post-dilution OL-HDF (n = 17) or to remain on HF-HD (n = 16, control group) for 12 months. The primary outcome was the change in lean tissue mass (LTM), intracellular water (ICW) and body cell mass (BCM) assessed by multifrequency bioimpedance …

Maledialysis patientsNon-Randomized Controlled Trials as Topicmuscleconvective therapies[SDV]Life Sciences [q-bio]medicine.medical_treatment030232 urology & nephrology030204 cardiovascular system & hematologyBody compositionGastroenterology0302 clinical medicineEstadística e Investigación Operativanocturnal homeMedicineProspective StudiesProspective cohort studyWasting2. Zero hungerhemodialysishigh-flux hemodialysisMiddle AgedUrology & Nephrology3. Good healthhaemodialysisHaemodialysisnutritionHaemodiafiltrationNephrologyall-cause mortalityFemaleHemodialysischronic kidney-diseasemedicine.symptomProtein-energy wastingspectroscopymedicine.medical_specialtyNutritional StatusHemodiafiltrationhaemodiafiltrationsurvivalCachexia03 medical and health sciencesRenal DialysisStatistical significanceInternal medicinebioimpedanceHumansDialysisNutritionInflammationbody compositionTransplantationbusiness.industrymedicine.diseaseConfidence intervalCase-Control StudiesKidney Failure Chronicmassprotein-energy wastingbusinessconventional hemodialysisHospitals High-VolumeKidney diseaseNephrology Dialysis Transplantation
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