Search results for "Sedentary Behavior"

showing 10 items of 218 documents

Influence of training and a maximal exercise test in analytical variability of muscular, hepatic, and cardiovascular biochemical variables.

2014

Short, middle, and long-term exercise, as well as the relative intensity of the physical effort, may influence a broad array of laboratory results, and it is thereby of pivotal importance to appropriately differentiate the 'physiologic' from the 'pathological' effects of exercise. Therefore, the values of some biomarkers in physically active subjects may be cautiously interpreted since the results may fall outside the conventional reference ranges. It has been demonstrated that middle and long-term endurance and/or strenuous exercise triggers transient elevations of muscular and cardiac biomarkers. However, no data have been published about the effect of short-term maximal exercise test on …

AdultCalcitoninMalemedicine.medical_specialtyCardiac biomarkersCardiovascular biomarkersCalcitonin Gene-Related PeptideClinical BiochemistryPhysical ExertionPhysical medicine and rehabilitationReference ValuesInternal medicineNatriuretic Peptide BrainmedicineCreatine Kinase MB FormHumansAspartate AminotransferasesProtein PrecursorsMuscle SkeletalPathologicalExerciseRelative intensitybiologyL-Lactate Dehydrogenasebusiness.industryC-reactive proteinSkeletal muscleHeartGeneral Medicinegamma-GlutamyltransferaseLaboratory resultsPeptide FragmentsTroponinmedicine.anatomical_structureexercise; laboratory; biomarkersC-Reactive ProteinLiverCardiologybiology.proteinExercise TestPhysical EnduranceMaximal exerciseSedentary BehaviorbusinesslaboratoryBiomarkersScandinavian journal of clinical and laboratory investigation
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Muscle Inactivity and Activity Patterns after Sedentary-Time Targeted Randomized Controlled Trial

2014

Purpose: Interventions targeting sedentary time are needed. We used detailed EMG recordings to study the short-term effectiveness of simple sedentary time-targeted tailored counseling on the total physical activity spectrum. Methods: This cluster randomized controlled trial was conducted between 2011 and 2013 (InPact, ISRCTN28668090), and short-term effectiveness of counseling is reported in the present study. A total of 133 office workers volunteered to participate, from which muscle activity data were analyzed from 48 (intervention, n = 24; control, n = 24). After a lecture, face-to-face tailored counseling was used to set contractually binding goals regarding breaking up sitting periods …

AdultCounselingMaleTotal physical activitymedicine.medical_specialtyaktiivisuussedentary timePhysical Therapy Sports Therapy and RehabilitationlihaksetElectromyographyMotor ActivityQuadriceps Musclelaw.inventiontextile electrodesLeisure ActivitiesRandomized controlled triallawIsometric ContractionActivities of Daily LivingmedicineHumansOrthopedics and Sports Medicineta315Muscle SkeletalinterventioSedentary timemedicine.diagnostic_testElectromyographybusiness.industryta3141Sedentary behaviorMiddle Agednonexercise physical activityelektromyografiaPhysical therapyFemaleSedentary Behaviorbusiness
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Parental modeling, education and children's sports and TV time: The ENERGY-project

2014

Abstract Objective We assessed whether differences in children's sports participation and television time according to parental education were mediated by parental modeling. Moreover, we explored the differences between parental and child reports on parental sports participation and television time as potential mediators. Methods 5729 children and 5183 parents participating in the EuropeaN Energy balance Research to prevent excessive weight Gain among Youth (ENERGY-project) during 2010 in seven European countries provided information on sports participation and television time using validated self-report questionnaires. Multilevel country-specific mediation models analyzed the potential med…

AdultCross-Cultural ComparisonMaleParentsMediation (statistics)medicine.medical_specialtyPediatricsTime FactorsEpidemiologyEnergy (esotericism)Child BehaviorOverweightEnvironmentMotor ActivitySocial classDevelopmental psychologyBody Mass IndexExcessive weight gainParental educationSurveys and QuestionnairesMedicineHumansParent-Child RelationsChildPreventive healthcarebusiness.industryPublic Health Environmental and Occupational HealthConstruct validityEuropeCross-Sectional StudiesSocial ClassMultilevel AnalysisEducational StatusFemalePerceptionTelevisionSelf Reportmedicine.symptomSedentary BehaviorbusinessSportsPreventive Medicine
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The effects of indoor cycling training in sedentary overweight women

2010

Abstract AIM: The aim of this study was to evaluate the body composition and physiological effects in young sedentary overweight women after an indoor cycle training period. METHODS: Fourteen subjects (22.6+/-2.1 yrs; 25-29.9 BMI) were trained for 12 weeks in a specific indoor cycling protocol (ICP) consisting of three sessions/week carried out in a fitness room. Body composition and physiological parameters were taken before the beginning of the study and after 12, 24 and 36 sessions. RESULTS: We observed a reduction of 2.6% and 3.2% in body weight and of 4.3% and 5% in fat mass after 24 and 36 sessions respectively (P<0.05). Lean mass increased by 2.3% and 2.6% respectively after 24 and 3…

AdultLegcyclingOverweightThoraxBicyclingCardiovascular Physiological PhenomenaOxygen ConsumptionHeart RatePhysical FitnessWeight LossArmRespiratory Physiological PhenomenaBody Fat DistributionHumansFemaleSedentary BehaviorWaist Circumference
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Accelerometer assessment of physical activity in individuals with paraplegia who do and do not participate in physical exercise

2018

OBJECTIVE: Our main goal was to measure physical activity (PA) in people with paraplegia. Secondarily, we aimed to establish the relationship between being engaged in physical exercise (PE) and reaching the recommended moderate-to-vigorous physical activity (MVPA) level. We further analyzed the effect of being engaged in PE on the PA levels. DESIGN: Descriptive cross-sectional. SETTING: Spanish associations for individuals with spinal cord injury. PARTICIPANTS: Ninety-six manual wheelchair users with chronic paraplegia. INTERVENTIONS: Participants wore a wrist accelerometer for one week. OUTCOME MEASURES: Levels of PA and sedentary behavior. In addition, participants were classified into tw…

AdultMale030506 rehabilitationmedicine.medical_specialtyPhysical activityPhysical exerciseAccelerometer03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationAccelerometrymedicineHumansExerciseResearch ArticlesSpinal Cord InjuriesParaplegiabusiness.industrySedentary behaviormedicine.diseaseCross-Sectional StudiesSpainFemaleSelf ReportNeurology (clinical)Sedentary Behavior0305 other medical scienceParaplegiabusiness030217 neurology & neurosurgeryThe Journal of Spinal Cord Medicine
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Associations in physical activity and sedentary behaviour among the immigrant and non-immigrant US population

2020

BackgroundImmigrants are at a higher risk of poor mental and physical health. Regular participation in physical activity (PA) and low levels of sedentary time are beneficial for both these aspects of health. The aim was to investigate levels and trends in domain-specific PA and sedentary behaviour in the US. immigrant compared with non-immigrant populations.MethodsFrom the 2007–2016 National Health and Nutrition Examination Survey (NHANES), a total of 25 142 adults (≥18 years) were included in this analysis. PA and sedentary behaviour time were assessed by a questionnaire.ResultsTransit-related PA showed downward linear trends in young immigrant adults (ptrend=0.006) and middle-aged non-imm…

AdultMaleAdolescent*ImmigrationNational Health and Nutrition Examination SurveyEpidemiologymedia_common.quotation_subjectHealth BehaviorImmigrationPopulationPhysical activityphysical activityEmigrants and ImmigrantsImmigration030209 endocrinology & metabolismMotor ActivitySittingYoung Adult*NHANES03 medical and health sciencesLeisure Activities0302 clinical medicineAge groupsSurveys and Questionnairessedentary behaviourNHANESHumansMedicine030212 general & internal medicineeducationExerciseAgedmedia_commonSedentary timeSedentaryeducation.field_of_studybusiness.industryPublic Health Environmental and Occupational HealthPhysical healthMiddle AgedNutrition SurveysUnited States*Physical activity*Sedentary[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieFemaleSedentary BehaviorbusinessDemographyJournal of Epidemiology and Community Health
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Adolescent physical fitness and activity as predictors of adulthood activity.

2011

A 25-year population-based study was conducted to determine how physical fitness and participation in leisure-time physical activity in adolescence (age 12-18 years) predict leisure-time physical activity in adulthood (age 37-43 years). In 1976, five field tests were conducted to measure muscular fitness, agility and aerobic capacity, and self-report weekly frequencies of activity were obtained by questionnaire. A modified questionnaire was repeated in 2001, when participants were age 37-43 years (N = 1525). On the basis of the questionnaire, a physical activity index was calculated both in 1976 and 2001. The odds ratios (OR) for being inactive in adulthood among those who were physically v…

AdultMaleAdolescentPopulationPhysical fitnessPhysical activityPhysical Therapy Sports Therapy and RehabilitationField testsDevelopmental psychologyLeisure ActivitiesSex FactorsSex factorsRisk FactorsSurveys and QuestionnairesOdds RatioHumansOrthopedics and Sports MedicineLongitudinal StudieseducationSelf reportChildExerciseSedentary lifestyleeducation.field_of_studybusiness.industryOdds ratioPhysical FitnessFemaleSelf ReportSedentary BehaviorPsychologybusinessDemographyJournal of sports sciences
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Does Childhood Temperamental Activity Predict Physical Activity and Sedentary Behavior over a 30-Year Period? Evidence from the Young Finns Study

2016

We examined associations between childhood temperamental activity, physical activity (PA), and television (TV) viewing over a 30-year period. The participants (1220 boys and 1237 girls) were aged 3, 6, 9, and 12 years in 1980 and were followed until 2011. Temperamental activity was evaluated by participants' mothers at baseline. The PA was assessed based on maternal ratings of the child from ages 3 to 6 and via self-report age from the age of 9 across all measurements. TV viewing was assessed using self-reports taken from 2001 to 2011. The associations between temperamental activity and the level and change of PA and TV viewing were determined using linear growth modeling stratified by gend…

AdultMaleBODY-COMPOSITIONAdolescent515 Psychologymedia_common.quotation_subjectPhysical activityMothersHYPERACTIVITYADULTHOODAGED 0-4 YEARSDevelopmental psychologyAge and gender03 medical and health sciencesYoung AdultTRACKING0302 clinical medicinePersonalityHumans030212 general & internal medicineTv viewingChildTemperamentExerciseApplied PsychologyFinlandmedia_commonTemperamental activityASSOCIATIONSPERSONALITYPhysical activityFollow-upCARDIOVASCULAR RISK030229 sport sciencesSedentary behaviorHealth psychologySedentary behaviorChild PreschoolFemaleTelevisionSelf ReportHEALTHPsychologyLinear growthDemographyFollow-Up Studies
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Relationship between sedentary behavior and depression: a mediation analysis of influential factors across the lifespan among 42,469 people in low- a…

2018

Abstract Background Sedentary behavior (SB) is associated with diabetes, cardiovascular disease and low mood. There is a paucity of multi-national research investigating SB and depression, particularly among low- and middle-income countries. This study investigated the association between SB and depression, and factors which influence this. Methods Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Depression was based on the Composite International Diagnostic Interview. The association between depression and SB (self-report) was estimated by multivariable linear and logistic regression analyses. Mediation analysis was used to id…

AdultMaleCross-sectional study*Low- and middle-income countriesExercício*SittingLogistic regressionBody Mass IndexYoung Adult03 medical and health sciences0302 clinical medicine*Sedentary behaviorPrevalencemedicineHumans030212 general & internal medicineYoung adultDeveloping CountriesExerciseDepression (differential diagnoses)AgedSedentary lifestyleDepressive DisorderLow- and middle-income countriesDepressionPhysical activitybusiness.industryMiddle Aged*DepressionSedentary behaviorPsychiatry and Mental healthClinical Psychology*Physical activityCross-Sectional StudiesLogistic ModelsMoodAnxietySedentary behavior Sitting Physical activity Depression Low- and middle-income countriesFemaleDepressãoSedentary Behaviormedicine.symptombusinessDepression; Low- and middle-income countries; Physical activity; Sedentary behavior; Sitting; Clinical Psychology; Psychiatry and Mental HealthBody mass indexSitting030217 neurology & neurosurgeryDemography
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Determining the location of the body׳s center of mass for different groups of physically active people

2013

The purpose of the present study was to compare the location of the body center of mass (CoM) determined by using a high accuracy reaction board (RB) and two different segment parameter models for motion analysis (Dempster, 1955, DEM and de Leva, 1996 adjusted from Zatsiorsky and Seluyanov, ZAT). The body CoM (expressed as percentage of the total body height) was determined from several subjects including athletes as well as physically active students and sedentary people. Some significant differences were found in the location of the body CoM between the used segment models and the reaction board method for all male subjects (n=58, 57.03±0.79%, 56.20±0.76% and 57.60±0.76% for RB, ZAT and D…

AdultMaleModels AnatomicMovementPostureBiomedical EngineeringBiophysicsPhysical activityta3111Young AdultIce hockeyHumansOrthopedics and Sports Medicineta315SimulationMathematicsOrthodonticsbiologyAthletesRehabilitationReproducibility of ResultsTotal bodyEquipment Designbiology.organism_classificationBody HeightAthletesCalibrationFemaleCenter of massSedentary Behaviorhuman activitiesAlgorithmsJournal of Biomechanics
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