Search results for "sedentary"

showing 10 items of 289 documents

The effects of mothers’ musical background on sedentary behavior, physical activity, and exercise adherence in their 5-6-years-old children using mov…

2017

Objectives The purpose of this study was to examine whether mothers’ musical background has an effect on their own and their children’s sedentary behavior (SB) and physical activity (PA). The aim was also to assess children’s and their mothers’ exercise adherence when using movement-to-music video program. Design Sub-group analysis of an intervention group in a randomized controlled trial (ISRCTN33885819). Method Seventy-one mother-child-pairs were divided into two categories based on mothers’ musical background. Each pair performed 8 weeks exercise intervention using movement-to-music video program. SB and PA were assessed objectively by accelerometer, and exercise activity, fidelity, and …

Malemusic perceptionLiikuntatiede - Sport and fitness sciencesCultureChild BehaviorSocial Scienceslcsh:Medicinephysical activityMusicalIntervention groupLogistic regressionlaw.inventionFamilies0302 clinical medicineRandomized controlled triallawOdds RatioMedicine and Health SciencesPsychologyMedicinePublic and Occupational Health030212 general & internal medicineChildlcsh:Scienceta315Randomized Controlled Trials as TopicMultidisciplinaryexerciseparenting behaviormusikaalisuusExercise adherenceSedentary behavioräiditMother-Child RelationsSports SciencehumanitiesChild PreschoolEngineering and TechnologyFemaleSensory Perceptionfyysinen aktiivisuusResearch ArticleAdultmedicine.medical_specialtyDrug Research and DevelopmentaccelerometersmusiikkiPhysical activityResearch and Analysis Methods03 medical and health scienceschildrenHumansClinical TrialsSports and Exercise MedicinelapsetPharmacologyMusic CognitionExercise interventionbehaviorbusiness.industrylcsh:RCognitive PsychologyBiology and Life Sciences030229 sport sciencesRandomized Controlled TrialsLogistic ModelsAge GroupsPhysical FitnessPeople and PlacesPhysical therapyCognitive SciencePopulation Groupingslcsh:QSedentary BehaviorElectronicsClinical MedicinebusinessMusicNeuroscience
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Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.

2020

Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors such as unhealthy habits, improper diet, and physical inactivity lead to physiological risks, and &ldquo

Malenormal distributionobesity020205 medical informaticsNice02 engineering and technologyOverweightlcsh:Chemical technologycomputer.software_genreSklearnBiochemistryAnalytical ChemistryMachine Learning0302 clinical medicinePregnancyRisk Factors0202 electrical engineering electronic engineering information engineeringMedicinedata visualizationlcsh:TP1-1185030212 general & internal medicineInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computer.programming_languageBehavior changeMiddle AgedAtomic and Molecular Physics and Opticssensor dataPeer reviewlifestyle diseasesVDP::Medisinske Fag: 700::Helsefag: 800classificationFemaleregressionmedicine.symptomAdultMachine learningArticle03 medical and health sciencesYoung AdultBMIUrbanizationHumansoverweightElectrical and Electronic EngineeringExercisegradient descentSedentary lifestylebusiness.industryWeight changemodel performancedeep learningeCoachmedicine.diseasecalibrationObesityhypothesis testpythonmonitoringArtificial intelligencePrismabusinesscomputerdiscriminationSensors (Basel, Switzerland)
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Neighborhood Built Environment and Socioeconomic Status are Associated with Active Commuting and Sedentary Behavior, but not with Leisure-Time Physic…

2019

The role of neighborhood characteristics in promoting physical activity and sedentary behaviors (SB) has not been extensively studied in university students. The study purpose was to analyze the associations of neighborhood built environment and neighborhood socioeconomic status (SES) with active commuting, leisure-time physical activity (LTPA), and SB among university students. This is a cross-sectional study of 308 undergraduate students from two urban universities in Valencia, Spain. Participants&rsquo

MaleobesityHealth Toxicology and MutagenesisLeisure timelcsh:MedicineTransportationWalkingSocial Environment0302 clinical medicineResidence CharacteristicsSurveys and Questionnairesactive transportation030212 general & internal medicineBuilt EnvironmentBuilt environmentResidential environmentexerciseSedentary behaviorMiddle AgedWalkabilitypopulation characteristicsFemaleEducació físicaPsychologyAdultUniversitieseducationPhysical activityArticle03 medical and health sciencesYoung AdultHumansStudentsSocioeconomic statuswalkabilitylcsh:RSociologia urbanaPublic Health Environmental and Occupational Healthcollege students030229 sport sciencessocial sciencesurban environmentCross-Sectional StudiesResidential densitySocial ClassSpainGeographic Information SystemsRecreationSedentary Behaviorhuman activitiesDemographyInternational Journal of Environmental Research and Public Health
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Validity of items assessing self-reported number of breaks in sitting time among children and adolescents

2020

Background: Sedentary behaviour guidelines recommend that individuals should regularly break up sitting time. Accurately monitoring such breaks is needed to inform guidelines concerning how regularly to break up sitting time and to evaluate intervention effects. We investigated the concurrent validity of three &ldquo

Malepsychometricsmedicine.medical_specialtyEveningPsychometricsHealth Toxicology and MutagenesisConcurrent validityCHILDHOODlcsh:MedicineIntervention effectSittingSpearman's rank correlation coefficientArticleTimeScreen Time03 medical and health sciencesScreen time0302 clinical medicinesedentary behaviourmedicineMedicine and Health SciencesHumansactivPAL030212 general & internal medicineASSOCIATIONSSitting Positionchildlcsh:RPublic Health Environmental and Occupational HealthSEDENTARY BEHAVIOR030229 sport sciencesSitting timeHEALTH INDICATORSPHYSICAL-ACTIVITYVDP::Medisinske Fag: 700::Helsefag: 800YOUTHadolescentRELIABILITYsurveys and questionnairesPhysical therapyFemaleSCHOOL-AGED CHILDRENSelf ReportSedentary Behavior
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Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A c…

2017

Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/ obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS tri…

MalesueñoSíndrome metabòlicaSedentarisme (Medicina)EtiologyPhysiologyCross-sectional studyEpidemiologyhumanosSistema cardiovascular -- Malaltieslcsh:Medicineejercicio físicoBlood PressureType 2 diabetesWalkingCardiovascular Medicine030204 cardiovascular system & hematologyOverweightBiochemistryVascular MedicineDiabetis no-insulinodependentHàbits sanitaris0302 clinical medicineRisk FactorsEstà en blancMedicine and Health SciencesOdds RatioPrevalenceNon-insulin-dependent diabetesBiomechanicsPublic and Occupational Health030212 general & internal medicinelcsh:Sciencemediana edadAbdominal obesityMetabolic SyndromeBioquímica y tecnologíaancianoMultidisciplinaryFactors de risc en les malaltiesprevalenciaMiddle Agedcociente de probabilidades relativas1932-62033. Good healthBiochemistry and technologyPhysiological ParametersCardiovascular DiseasesEtiologiadiabetes mellitusHypertensionFemalemedicine.symptomResearch Articlemedicine.medical_specialtyRisk factors in diseasesenfermedades cardiovascularesExerciciBioenergeticsBioquímica i biotecnologia03 medical and health sciencesmedicinefactores de riesgoHumansObesityEpidemiologiaHealth behaviorExerciseAgedBehaviorBiological Locomotionbusiness.industryPhysical activityBody Weightlcsh:RBiology and Life SciencesPhysical ActivityOdds ratiomedicine.diseaseObesitySonSistema cardiovascular -- Malalties -- Factors de riscCross-Sectional StudiesDiabetes Mellitus Type 2SpainRelative riskPhysical therapylcsh:QSon -- Aspectes fisiològicsMetabolic syndromeSedentary BehaviorPhysiological ProcessesbusinessSleepBiomarkersestudios transversalesDemography
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Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PRE…

2019

Background: This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Methods: This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m(2)) from the PREDIMED-Plus study (http://www.predimedplus.com/). All participants had >= 3…

MalesueñoTime FactorshumanosMedicine (miscellaneous)ejercicio físicoType 2 diabetes030204 cardiovascular system & hematologyLogistic regressiontriglicéridosIsotemporal substitutionchemistry.chemical_compound0302 clinical medicineRisk FactorsAccelerometryInactive timeModerate-to-vigorous physical activityModerate to vigorous physical activityTime in bedlcsh:RC620-627mediana edadAdiposityCardiometabolic risk Inactive time Isotemporal substitution Light physical activity Moderate to vigorous physical activity Time in bedMetabolic SyndromeancianoNutrition and Dieteticslcsh:Public aspects of medicinecolesterolMiddle AgedLight physical activity3. Good healthlcsh:Nutritional diseases. Deficiency diseasesCholesterolCardiovascular diseasesFemaleadiposidadWaist Circumferencemedicine.medical_specialtyWaistRestPhysical Therapy Sports Therapy and RehabilitationClinical nutrition03 medical and health sciencesfactores de tiempo:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Internal medicineacelerometríaDiabetes Mellitusmedicinefactores de riesgoHumansObesityobesidadExerciseTriglyceridesAgedRetrospective Studiesperímetro abdominalMalalties cardiovascularsbusiness.industryResearchestudios retrospectivosCholesterol HDLlcsh:RA1-1270030229 sport sciencesPhysical fitnessmedicine.diseaseObesityUnited KingdomCardiometabolic riskCross-Sectional StudiesBlood pressureDiabetes Mellitus Type 2chemistryDescansGlycated hemoglobinSedentary BehaviorMetabolic syndromeSleepbusinessestudios transversalesCondició físicaInternational Journal of Behavioral Nutrition and Physical Activity
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Associations of physical activity, sedentary time, and cardiorespiratory fitness with heart rate variability in 6- to 9-year-old children: the PANIC …

2019

Purpose. To study the associations of physical activity (PA), sedentary time (ST), and cardiorespiratory fitness (CRF) with heart rate variability (HRV) in children. Methods. The participants were a population sample of 377 children aged 6–9 years (49% boys). ST, light PA (LPA), moderate PA (MPA), vigorous PA (VPA), and moderate-to-vigorous PA (MVPA), and PA energy expenditure (PAEE) were assessed using a combined heart rate and movement sensor, maximal power output per kilograms of lean body mass as a measure of CRF by maximal cycle ergometer exercise test, and HRV variables (SDNN, RMSSD, LF, and HF) using 5 min resting electrocardiography. Data were analysed by linear regression adjusted …

Malesykesedentary timephysical activitylapset (ikäryhmät)istuminenchildrenHeart Rateautonominen hermostoheart rateHumansAutonomic nervous systemCardiorespiratory fitnessChildExerciseChildrencardiorespiratory fitnessPhysical activityautonomic nervous systemfyysinen kuntoCross-Sectional StudiesPhysical FitnessBody CompositionExercise TestFemaleOriginal ArticleSedentary BehaviorEnergy Metabolismfyysinen aktiivisuus
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If you drink, don't smoke : Joint associations between risky health behaviors and labor market outcomes

2018

This paper examines the links between risky health behaviors and labor market success. We provide new evidence on the joint relationships between the most prominent forms of risky health behavior - alcohol consumption, smoking and physical inactivity - and long-term labor market outcomes. We use twin data for Finnish men and women linked to register-based individual information on earnings and labor market attachment. The twin data allow us to account for shared family and environmental factors and to measure risky health behaviors in 1975 and 1981. The long-term labor market outcomes were measured in adulthood as an average over the period 1990-2009. The sample sizes are 2156 and 2498 twin…

MaletulotHealth (social science)Heavy drinkerALCOHOL-CONSUMPTIONrisky health behaviorsTwinsphysical activityADULTHOODCohort StudiesHealth Risk Behaviors0302 clinical medicine5. Gender equalityDEPENDENCEEarly adulthood030212 general & internal medicineRegistries050207 economicsFINNISH TWIN COHORTFinlandansiotaso05 social sciencesta31423142 Public health care science environmental and occupational healthGENETIC VULNERABILITYADOLESCENCEIncomeFemalealkoholinkäyttöPsychologyearningsfyysinen aktiivisuusEARNINGSAdultEmploymentAlcohol Drinkingalcohol consumptionDisease clustersmoking03 medical and health sciencesHistory and Philosophy of ScienceCigarette smokingtupakointi0502 economics and businessHumansPSYSICAL ACTIVITYConsumption (economics)ta511EarningsGenetic vulnerabilityMORTALITYtyöllistyminentyöllisyysIndividual levelALCOHOL COMSUMPTIONPHYSICAL-ACTIVITYterveyskäyttäytyminenDemographic economicsCIGARETTE-SMOKINGSedentary BehaviorterveysriskitSocial Science and Medicine
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Environmental Correlates of Motor Competence in Children -The Skilled Kids Study

2019

Environment, physical activity (PA) and motor development are tightly interwoven during childhood. We examined the associations of environmental factors with motor competence (MC) in children. Children (N = 945, 50.1% boys, age = 3–7 years, mean = 5.4 years) from 37 childcare centres in the Southern (n = 17), Central (n = 13) and Northern Finland (n = 7) participated. The environmental factors comprised the geographical location (Southern, Central and Northern Finland) and residential density (metropolitan area, city, rural area and countryside) of the childcare centres’ based on postal codes and the national population density registry. MC was measured using the Test of Gross Motor Develop…

Maleulkoiluparticipation in sportsympäristöFITNESSHealth Toxicology and Mutagenesisresidential densityasuinympäristöPoison controllcsh:MedicineLANGUAGESuicide preventionOccupational safety and health0302 clinical medicineSurveys and QuestionnairesADOLESCENTS030212 general & internal medicinegeographical locationChildFinlandMotor skillASSOCIATIONSoutdoor timeSEDENTARY BEHAVIORmotor competenceMotor SkillsCOGNITIVE-DEVELOPMENTChild PreschoolFemalePsychologyenvironmentfyysinen aktiivisuusSportsINTERVENTIONSympäristötekijätSEASONAL-VARIATIONGross motor skilllapset (ikäryhmät)Article03 medical and health scienceschildrenInjury preventionHumansmotoriset taidotliikuntaharrastusExerciseDemographylcsh:RPublic Health Environmental and Occupational Health030229 sport sciencesPERFORMANCEMetropolitan areaPHYSICAL-ACTIVITYRural areaDemographyInternational Journal of Environmental Research and Public Health
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Towards the integration and development of a cross-European research netwerk and infrastructure : the DEterminants of Diet and Physical ACtivity (DED…

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 …

MeasurementHealth Knowledge Attitudes PracticePhysical activityPreventionEuropean Continental Ancestry GroupHealth BehaviorSedentary behaviourHealth PromotionMotor ActivityLifestyleProceduresLS - Life StyleDietPolicyBehavioural ChangesJoint programmingSedentary LifestyleHumansELSS - Earth Life and Social SciencesHealthy for LifeHealthy LivingDeterminantsInterventionsSports
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