Search results for "Sede"

showing 10 items of 339 documents

Patterns and predictors of low physical activity in patients with stable COPD: a longitudinal study

2020

Background: Despite the frequency and negative impact of low physical activity among patients with chronic obstructive pulmonary disease (COPD), little is known about how it persists and remits over time or the factors predicting new states of low physical activity. The aim of the study was to determine the probability of a transition between states of low and nonlow physical activity in a cohort of patients with stable COPD followed for 2 years. We also investigated different potentially modifiable factors to determine whether they can predict new states of low physical activity. Methods: We prospectively included 137 patients with stable COPD (mean age 66.9 ± 8.3 years). Physical activity…

MalePulmonary and Respiratory MedicineLongitudinal studymedicine.medical_specialtyTime FactorsHealth StatusPhysical activityphysical activityPulmonary diseasePulmonary Disease Chronic Obstructive03 medical and health sciences0302 clinical medicineRisk FactorsInternal medicineCOPDHumansMedicinePharmacology (medical)In patientLongitudinal StudiesProspective Studies030212 general & internal medicineExerciseLungOriginal ResearchAgedlcsh:RC705-779COPDbusiness.industrytransitionlcsh:Diseases of the respiratory systemdyspneaMiddle AgedPrognosismedicine.disease5STS030228 respiratory systemDisease ProgressionFemaleSedentary BehaviorbusinessTherapeutic Advances in Respiratory Disease
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The effect of the UP4FUN pilot intervention on objectively measured sedentary time and physical activity in 10-to 12 year old children in Belgium : t…

2012

Published version of an article in the journal: BMC Public Health. Also available from BMC: http://dx.doi.org/10.1186/1471-2458-12-805 Bakckground: The first aim was to examine the effect of the UP4FUN pilot intervention on children’s total sedentary time. The second aim was to investigate if the intervention had an effect on children’s physical activity (PA) level. Finally, we aimed to investigate demographic differences (i.e. age, gender, ethnicity, living status and having siblings) between children in the intervention group who improved in sedentary time and PA at post-test and children in the intervention group who worsened in sedentary time and PA at post-test. Methods: The six weeks …

MaleResearch designGerontologymedicine.medical_specialtyEthnic groupPilot ProjectsIntervention030209 endocrinology & metabolismlaw.inventionVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 81103 medical and health sciences0302 clinical medicineBelgiumRandomized controlled triallawIntervention (counseling)AccelerometryEpidemiologymedicineMedicine and Health SciencesHumans030212 general & internal medicineChildExerciseChildrenSedentary lifestylePhysical activitybusiness.industrylcsh:Public aspects of medicinePublic Health Environmental and Occupational Healthlcsh:RA1-1270Sedentary behaviour3. Good healthPeer reviewAccelerometerResearch DesignRandomized controlled trialPhysical therapyFemaleSedentary BehaviorBiostatisticsEnergy MetabolismbusinessResearch Article
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The association between sedentary behavior and sarcopenia among adults aged ≥65 years in low-and middle-income countries

2020

The present study aimed to assess the association between sedentary behavior and sarcopenia among adults aged &ge

MaleSarcopeniaHealth Toxicology and Mutagenesis[SDV]Life Sciences [q-bio]lcsh:MedicineWORLD-HEALTH-ORGANIZATIONLogistic regressionContinuous variableolder adult0302 clinical medicineMedicine030212 general & internal medicineGaitPublic Environmental & Occupational HealthLow- and middle-income countriesHand StrengthSedentary behaviormusculoskeletal system3. Good healthPREVALENCETIMEOBESITYOlder adultsIncome/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleLife Sciences & Biomedicinemedicine.medical_specialtyEnvironmental Sciences & EcologyArticleOddsSKELETAL-MUSCLE MASS03 medical and health sciencesSDG 3 - Good Health and Well-beingHumansOLDER-ADULTSAgedScience & Technologybusiness.industryPublic healthlcsh:RPublic Health Environmental and Occupational Healthmedicine.diseasebody regionsSedentary behaviorPHYSICAL-ACTIVITYCross-Sectional StudiesSocioeconomic FactorsAgeingLow and middle income countriesFATSarcopeniaSedentary Behaviorbusinesshuman activities030217 neurology & neurosurgeryEnvironmental SciencesDemographylow- and middle-income countries older adults sarcopenia sedentary behavior
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Effects of an intervention program (HHP) on the promotion of healthy habits in early adolescence

2015

it is vital to monitor and promote healthy lifestyle habits in early adolescence, as it is a time of changes when future lifestyle habits are formed.a study was conducted to find out the effects of a Healthy Habits Program (HHP) in children between the ages of 10 and 12 years (N = 158). The study included an intervention group (IG) (n = 90), which participated in the HHP for 8 months, and a control group (CG) (n = 100). In order to assess healthy habits in these children we used the Inventory of Healthy Habits (IHH), the reliability of which was previously evaluated (N = 134).the IHH obtained good reliability, Interclass Correlation Coefficient (range .506 - 884; p.001) and Spearman Correla…

MaleSchoolAdolescentEarly adolescenceHealth BehaviorReproducibility of ResultsInterventionFeeding BehaviorHealth PromotionHealthSurveys and QuestionnairesHumansFemaleSedentary BehaviorChildExerciseLife StyleHealthy habits
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Device-measured sedentary time in Norwegian children and adolescents in the era of ubiquitous internet access: secular changes between 2005, 2011 and…

2021

Abstract Background Access to screen-based media has been revolutionized during the past two decades. How this has affected sedentary time (ST) accumulation in children is poorly understood. Methods This study, based on the Physical Activity among Norwegian Children Study (PANCS), uses accelerometer data from population-based samples of 9- and 15-year-olds, collected in 2005 (n = 1722), 2011 (n = 1587) and 2018 (n = 1859). Secular changes between surveys were analysed using random-effects linear regression models adjusted for survey-specific factors. Data on ST were collected using hip-worn ActiGraphs and ST was defined using a threshold equivalent to <100 counts/min. Sedentary bouts…

MaleSchoolsAdolescentEpidemiologyInfant NewbornGeneral MedicineVDP::Medisinske Fag: 700::Helsefag: 800AccelerometryHumansFemaleSedentary BehaviorChildExerciseInternet Access
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Enhanced lipid peroxidation and platelet activation as potential contributors to increased cardiovascular risk in the low-HDL phenotype

2013

Background Low high‐density lipoprotein ( HDL ) levels are major predictors of cardiovascular ( CV ) events, even in patients on statin treatment with low‐density lipoprotein ( LDL ) at target. In animal models HDL s protect LDL from oxidation and blunt platelet activation. Our study aimed to examine whether HDL levels are related to in vivo oxidative stress and platelet activation, as determinants of atherothrombosis. Methods and Results Urinary 8‐iso‐PGF 2α and 11‐dehydro‐TXB 2 , in vivo markers of oxidative stress and platelet activation, respectively, were measured in 65 coronary heart disease (CHD) normocholesterolemic patients with HDL ≤35 mg/ dL , and in 47 CHD patients with HDL &gt…

MaleSettore MED/09 - Medicina InternaCoronary DiseaseDinoprostmedicine.disease_causeLipid peroxidationchemistry.chemical_compoundFenofibrateHDL cholesterolRisk FactorsCoronary Heart Diseaseoxidative stressMyocardial infarctionOriginal ResearchHypolipidemic AgentsplateletHypoalphalipoproteinemiasFenofibrateMiddle AgedAged; Arachidonic Acids; Case-Control Studies; Cholesterol HDL; Coronary Disease; Cross-Sectional Studies; Dinoprost; Exercise; Exercise Therapy; Female; Fenofibrate; Humans; Hypoalphalipoproteinemias; Hypolipidemic Agents; Lipid Peroxidation; Male; Middle Aged; Oxidative Stress; Phenotype; Platelet Activation; Risk Factors; Sedentary Lifestyle; Thromboxane B2; Cardiology and Cardiovascular MedicineExercise TherapyCholesterolPhenotypeSedentary LifestyleFemalelipids (amino acids peptides and proteins)exercise HDL cholesterol oxidative stress plateletCardiology and Cardiovascular Medicinemedicine.drugmedicine.medical_specialtyHDLArachidonic AcidsDiabetes mellitusInternal medicinemedicineHumansPlatelet activationExerciseAgedCreatininebusiness.industryCholesterol HDLCase-control studyPlatelet Activationmedicine.diseaseThromboxane B2Cross-Sectional StudiesEndocrinologychemistryCase-Control StudiesLipid PeroxidationSedentary BehaviorbusinessOxidative stressLipoproteinEuropean Heart Journal
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Leisure-Time physical activity, sedentary behaviour and diet quality are associated with metabolic syndrome severity: the PREDIMED-Plus Study

2020

The authors especially thank the PREDIMED-Plus participants for their enthusiastic collaboration, the PREDIMED-Plus personnel for outstanding support, and the personnel of all associated primary care centres for their exceptional effort. CIBEROBN, CIBERESP and CIBERDEM are initiatives of Instituto de Salud Carlos III, Spain. We thank the PREDIMED-Plus Biobank Network, part of the National Biobank Platform of Instituto de Salud Carlos III for storing and managing biological samples.

MaleSíndrome metabòlicaMediterranean diethumanosejercicio físico030204 cardiovascular system & hematologyOverweightSeverity of Illness Indexlaw.inventionchemistry.chemical_compound0302 clinical medicineSedentarismeRandomized controlled triallaw030212 general & internal medicineDepression (differential diagnoses)mediana edad2. Zero hungerMetabolic SyndromeancianoNutrition and Dietetics4. EducationMiddle Aged16. Peace & justiceMetabolic syndrome3. Good healthFemalemedicine.symptomlcsh:Nutrition. Foods and food supplymedicine.medical_specialtylcsh:TX341-641Article03 medical and health sciencesFood PreferencesMediterranean cookingLeisure ActivitiesInternal medicineMediterranean dietCuina mediterràniamedicineingesta energéticaHumansíndice de gravedad de la enfermedadExerciseMetabolic syndrome severityAgedbusiness.industryCholesterolPhysical activityactividades de ocioSedentary behaviourAnthropometryPhysical fitnessmedicine.diseaseObesitypreferencias alimenticiasSedentary behaviorCross-Sectional StudieschemistryDepression riskMetabolic syndromeSedentary BehaviorbusinessEnergy IntakeFood Scienceestudios transversalesCondició física
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Patterns of objectively measured sedentary time in 10- to 12-year-old Belgian children: an observational study within the ENERGY-project

2017

Background This study examined the frequency of and differences in sedentary bouts of different durations and the total time spent in sedentary bouts on a weekday, a weekend day, during school hours, during after-school hours and in the evening period in a sample of 10- to 12-year-old Belgian children. Methods Accelerometer data were collected as part of the ENERGY-project in Belgium (n = 577, 10.9 ± 0.7 years, 53% girls) in 2011. Differences in total sedentary time, sedentary bouts of 2–5, 5–10, 10–20, 20–30 and ≥30 min and total time accumulated in those bouts were examined on a weekday, a weekend day, during school hours, during after-school hours and in the evening period, using multile…

MaleTime FactorsChild BehaviorOPERATIONAL DEFINITIONS0302 clinical medicineBelgiumCARDIOMETABOLIC RISKYOUNG-ADULTSAccelerometryMedicine and Health Sciences030212 general & internal medicineMETABOLIC RISKChildChildrenCardiometabolic riskSchoolslcsh:RJ1-570HEALTH INDICATORSPeer reviewSedentary timePOSTPRANDIAL GLYCEMIAFemaleBEHAVIORResearch Articlemedicine.medical_specialtyEveningeducationPhysical activity03 medical and health sciencesSedentary boutsVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Pediatri: 760medicineHumansAccelerometer dataExerciseSedentary timephysical activity & healthModels Statisticalbusiness.industryRANDOMIZED CROSSOVERMetabolic risklcsh:Pediatrics030229 sport sciencesAccelerometerPHYSICAL-ACTIVITYCANADIAN ADULTSPediatrics Perinatology and Child HealthPhysical therapyObservational studySedentary Behaviorbusinesshuman activitiesBMC Pediatrics
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Effects of exercise training on airway responsiveness and airway cells in healthy subjects.

2010

J Appl Physiol. 2010 Aug;109(2):288-94. Epub 2010 Jun 10. Effects of exercise training on airway responsiveness and airway cells in healthy subjects. Scichilone N, Morici G, Zangla D, Chimenti L, Davì E, Reitano S, Paternò A, Santagata R, Togias A, Bellia V, Bonsignore MR. SourceDept. of Internal Medicine, Div. of Pulmonology (DIBIMIS Univ. of Palermo, "Villa Sofia-Cervello" Hospital, Via Trabucco 180, 90146 Palermo, Italy. n.scichilone@libero.it Abstract Airway responsiveness to methacholine (Mch) in the absence of deep inspirations (DIs) is lower in athletes compared with sedentary individuals. In this prospective study, we tested the hypothesis that a training exercise program reduces th…

MaleTime FactorsFunctional Residual CapacityPhysiologyVital CapacitySettore BIO/09 - FisiologiaBronchoconstrictor Agentsneutrophilsrowing; methacoline; neutrophilsForced Expiratory VolumeUteroglobinProspective StudiesRespiratory systemProspective cohort studyLungMethacholine Chloriderowingbiologyrespiratory systemResidual Volumemedicine.anatomical_structureInhalationAnesthesiaBronchial HyperreactivityInflammation MediatorsAirway responsivenessmedicine.drugAdultmedicine.medical_specialtyBronchoconstrictionPhysical exercisemethacolineSettore MED/10 - Malattie Dell'Apparato RespiratorioBronchial Provocation TestsYoung AdultPhysiology (medical)medicineHumansMuscle StrengthExerciseAthletesbusiness.industryInterleukin-8Total Lung CapacitySputumbiology.organism_classificationSpirometryPhysical therapyMethacholineSedentary BehaviorbusinessAirwayRespiratory tractJournal of applied physiology (Bethesda, Md. : 1985)
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Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

2018

Purpose To assess the relationship between physical activity (PA) in work, transport, domestic and leisure-time domains (with sitting time included) and health-related quality of life (HRQoL) among young adult men. Methods The long version of IPAQ and SF-36 Health Survey were used to assess PA and HRQoL, respectively, in 1425 voluntary 20 to 40 year old Finnish male participants. Participants were divided into tertiles (MET-h/week): Lowest tertile ( 100 MET-h/week). Results The IPAQ domain leisure-time PA predicted positively the Physical Component Summary (PCS) (β=0.11, 95% CI: 0.06 to 0.16) and Mental Component Summary (MCS) (β=0.11, 95% CI: 0.05 to 0.16) dimensions. Occupational PA predi…

MaleTime Factorselämänlaatu0302 clinical medicineQuality of lifeSITTING TIMEOrthopedics and Sports Medicine030212 general & internal medicineYoung adultFinlandPOPULATIONeducation.field_of_studyexercisepublic healthta3141ta3142ASSOCIATIONSitting timehumanitiesLinear relationshipMETmiehetHEALTHfyysinen aktiivisuusAdultyoung adultsCOUNTRIESmedicine.medical_specialtySF-36PopulationPhysical activitymenPhysical Therapy Sports Therapy and Rehabilitationphysical activeness03 medical and health sciencesYoung AdultSF-36medicineHumansVALIDITYeducationMETAANALYSISSedentary lifestyle030203 arthritis & rheumatologynuoret aikuisetbusiness.industryMORTALITYquestionnaires3126 Surgery anesthesiology intensive care radiologyHealth SurveysACTIVITY QUESTIONNAIRE IPAQCross-Sectional Studiesquality of lifePhysical therapySedentary BehaviorbusinessDemography
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