Search results for "Accelerometry"

showing 10 items of 120 documents

Differences in the Physical Activity, Sedentary Time, and BMI of Finnish Grade 5 Students

2018

Background: This study examined the distribution of objectively measured physical activity (PA) and sedentary time of fifth-grade students during school, leisure time, and physical education (PE) classes. Demographic, anthropometric, and PA data were collected from 17 representative Finnish schools. Methods: To estimate the PA and sedentary time, participants (N = 592) wore wGT3X-BT ActiGraphs for 7 consecutive days. Comparisons were made between genders and different BMI groups. Results: From the study sample, 43.7% met the moderate to vigorous PA (MVPA) guidelines. Participants spent 62.2% of the day sedentary and 8.2% in moderate and vigorous activities. Boys performed more MVPA than gir…

MaleLeisure timeeducationPhysical activityOverweightliikuntaBody weightPhysical educationBody Mass Indexistuminen03 medical and health sciencesbody weight0302 clinical medicineLeisure ActivitiesSex FactorsnuoretAccelerometrymedicineaccelerometryHumansOrthopedics and Sports Medicine030212 general & internal medicineObesitypaino (fysiikka)painoindeksiChildStudentsExerciseFinlandSedentary timePhysical Education and TrainingSchoolsAnthropometrybusiness.industry030229 sport sciencesAnthropometryphysical educationadolescentFemalemedicine.symptomSedentary Behaviorbusinessfyysinen aktiivisuusDemography
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Polygenic Risk Scores and Physical Activity

2020

Supplemental digital content is available in the text.

MaleMultifactorial InheritanceEpidemiologyheritabilityNorthern finlandDISEASEhidden heritability0302 clinical medicineRisk FactorsMISSING HERITABILITYAccelerometryMedicineOrthopedics and Sports Medicine315 Sport and fitness sciencesgeneskrooniset tauditFinlandAged 80 and overeducation.field_of_studyFramingham Risk ScoreBIRTH COHORTexerciseHERITABILITYObjective measurementriskitekijätMiddle Aged3. Good healthComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleHEALTHgeenitutkimusBirth cohortfyysinen aktiivisuusAdultSingle variableAdolescentGenotypePopulationPhysical activityEXERCISEPhysical Therapy Sports Therapy and RehabilitationFitness TrackersGENOTYPE IMPUTATIONPolymorphism Single Nucleotideperinnöllinen alttiusYoung Adult03 medical and health sciencesHumansGENOME-WIDE ASSOCIATIONgeneeducationperinnöllisyysAgedgeenitbusiness.industryHIDDEN HERITABILITY030229 sport sciencesGENEperimäPolygenic risk scoreSelf ReportbusinessGenome-Wide Association StudyDemographyMedicine & Science in Sports & Exercise
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Associations of neck and shoulder pain with objectively measured physical activity and sedentary time among school-aged children

2020

Abstract Objectives The potential effects of physical activity and sedentary time on children’s increasing neck and shoulder pain are unclear. The aim of this cross-sectional study was to evaluate the associations between objectively measured physical activity or sedentary time and neck and shoulder pain in children. Methods Children (n=905; 10–15 years old) filled in an electronic questionnaire during school hours on the frequency of their neck and shoulder pain. Daytime moderate to vigorous physical activity and sedentary time were measured objectively with an ActiGraph accelerometer. A multinomial logistic regression was applied to study the associations. The results were adjusted for ag…

MaleMusculoskeletal painmedicine.medical_specialtyhartiatPhysical activitylapset (ikäryhmät)liikuntaBedtimeistuminen03 medical and health sciences0302 clinical medicineShoulder Painsedentary behaviorAccelerometryaccelerometryHumansDaily livingMedicinepain030212 general & internal medicineSex DistributionChildExercisePain symptomsSedentary timechildNeck PainSchool age childexercisebusiness.industrykipuniska030229 sport sciencesCross-Sectional StudiesAnesthesiology and Pain MedicinePhysical therapyFemaleNeurology (clinical)Sedentary BehaviorbusinessBody mass indexfyysinen aktiivisuus
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Associations of subjective social status with accelerometer-based physical activity and sedentary time among adolescents

2019

This study examined the associations of subjective social status (SSS) with physical activity (PA) and sedentary time (ST) among adolescents. The study population consisted of 420 Finnish adolescents aged 13 to 14 years. The adolescents reported their own SSS within their school (school SSS) and their family's social position within society (society SSS) based on the youth version of the Subjective Social Status Scale. Adolescents' moderate- to vigorous-intensity physical activity (MVPA) and ST were measured objectively by accelerometers and analyzed separately for the whole day and the school day. The associations between SSS and MVPA and ST outcomes were analyzed using multilevel modeling…

MaleParentsAdolescenteducationHealth Behaviorsedentary timePhysical activityphysical activity030209 endocrinology & metabolismPhysical Therapy Sports Therapy and Rehabilitationsosiaalinen asema03 medical and health sciences0302 clinical medicinenuoretNegatively associatedhealth behaviourAccelerometryaccelerometrySocial positionHumansOrthopedics and Sports MedicineSocial determinants of healthta315ExerciseFinlandSedentary timeyouthMultilevel model030229 sport sciencesta3142social statusSSS*Cross-Sectional StudiesSocial ClassAdolescent BehaviorterveyskäyttäytyminennuoruusFemaleSedentary BehaviorPsychologyhuman activitiesfyysinen aktiivisuusClinical psychologySocial status
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Count- versus MAD-based accelerometry-assessed movement behaviors and associations with child adiposity and fitness

2021

usc Estimations of time spent sedentary and in various physical activity intensities may vary according to data reduction methods applied. This study compared associations between children's accelerometer data and adiposity and fitness markers using open source (mean amplitude deviation, MAD) and proprietary (counts) data reduction methods. Complete-case accelerometer, adiposity (Body Mass Index z-score, waist circumference), and fitness (cardiorespiratory, musculoskeletal) data from 118 children (10.4 ± 0.6 years, 49% girls) were analyzed. Estimates of sedentary behavior, light-, moderate-, vigorous- (VPA), and moderate- to vigorous-intensity (MVPA) physical activity were calculated using …

MalePediatric ObesityWaistPhysical Therapy Sports Therapy and RehabilitationFitness TrackersAccelerometerobjectively measuredAccelerometryLinear regressionaccelerometryHumansMedicineOrthopedics and Sports MedicineHealth riskChildMuscle SkeletalExerciseAdiposityyouthbusiness.industrydevice-basedCardiorespiratory fitnessCircumferencemean amplitude deviationOpen sourceCardiorespiratory FitnessPhysical FitnessFemaleSedentary BehaviormovementbusinessBody mass indexDemography
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Physical activity intensity, sedentary behavior, body composition and physical fitness in 4-year-old children : results from the ministop trial

2015

Existing knowledge on associations of physical activity (PA) and sedentary behavior (SB) with body composition and physical fitness in preschoolers is limited.To examine associations of PA and SB with body composition and physical fitness in healthy Swedish 4-year-old children.We utilized baseline data collected in 2014 for the population-based MINISTOP trial (n=307). Light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate-to-vigorous PA (MVPA) and SB were measured using accelerometry (ActiGraph-wGT3x-BT). Body composition was measured using air-displacement plethysmography, and physical fitness (that is, cardiorespiratory fitness, lower and upper body m…

MalePediatric Obesitymedicine.medical_specialtyEndocrinology Diabetes and MetabolismPhysical fitnessPhysical activityChild BehaviorMedicine (miscellaneous)physical activityMuscle Developmentlaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled trialchildrenlawSurveys and Questionnairessedentary behaviorAccelerometrymedicinepreschoolersHumansMuscle Strength030212 general & internal medicineExercise physiologyta315ExerciseAdipositySedentary lifestyleSwedenbody compositionNutrition and Dieteticsbusiness.industryCardiorespiratory fitnessta3141030229 sport sciencesSedentary behaviorta3142Intensity (physics)Cross-Sectional StudiesCardiorespiratory FitnessChild PreschoolPhysical therapyphysical fitnessFemalebusinessInternational Journal of Obesity
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Accelerometer-measured and self-reported physical activity in relation to extraversion and neuroticism: a cross-sectional analysis of two studies

2020

Background Personality reflects relatively stable and pervasive tendencies in feeling, thinking and behaving. While previous studies have found higher extraversion and lower neuroticism to be linked to higher self-reported physical activity levels, larger studies using accelerometer-measured physical activity are lacking. This study investigated the cross-sectional associations of extraversion and neuroticism with both accelerometer-measured and self-reported physical activity and the role of these personality traits in possible discrepancies between these two measures of physical activity among Finnish adults. Methods Two community-dwelling samples were used in this study: a) 47–55-yr-old …

MalePersonality Inventorylcsh:GeriatricsExtraversion Psychologicaltraitsmental disordersAccelerometryHumansExerciseAgedNeuroticismitsearviointikiihtyvyysanturiexercisemittauspersoonallisuuden piirteetMiddle AgedTraitspersoonallisuusleisure timeAccelerometeraccelerometerlcsh:RC952-954.6Cross-Sectional Studiespersonalitymittarit (mittaus)FemaleSelf ReportLeisure timevapaa-aikafyysinen aktiivisuusResearch ArticlePersonalityBMC Geriatrics
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Motives for physical activity in older men and women : A twin study using accelerometer-measured physical activity

2019

Motives for physical activity may vary considerably by age, sex, and the level of physical activity. We aimed to examine motives for physical activity in older men and women with different physical activity levels as well as whether genetic and/or environmental factors explain those motives. Finnish twins (mean age 72.9 years, 262 full twin pairs) self-reported their motives for physical activity. Time spent on moderate-to-vigorous physical activity was monitored using a hip-worn accelerometer. Comparisons between the different physical activity groups of older twins (n = 764-791/motive dimension) were analyzed using the Wald test, and effect sizes were calculated as Cohen's d. Quantitative…

MalePhysical fitnessPhysical activityPsychological interventionPhysical Therapy Sports Therapy and Rehabilitation030204 cardiovascular system & hematology03 medical and health sciencesSex Factors0302 clinical medicineAGEmotivationPEOPLEaged individualsAccelerometryGenetic modelingHumansOrthopedics and Sports Medicine315 Sport and fitness sciencesAgedmotivaatiokaksostutkimusdevice‐measured physical activityexerciseBARRIERSkuntoliikuntabusiness.industrykiihtyvyysmittaritMean ageexercise motivation030229 sport sciencestwinsTwin study3142 Public health care science environmental and occupational healthdevice-measured physical activity3141 Health care scienceMOTIVATORSHealth maintenanceFemalebusinessPsychologyikääntyneetfyysinen aktiivisuusClinical psychology
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Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in c…

2021

We investigated the associations of peak oxygen uptake (V̇O2peak), ventilatory threshold (VT), muscle strength, motor competence (MC), and adiposity with the indicators of PA intensity during different physical activities used to create absolute PA intensity cut-offs among 35 children 7–11-years-of-age. V̇O2peak was defined as the highest V̇O2 achieved in the maximal cardiopulmonary exercise test (CPET) on a cycle ergometer, self-paced running, or running on a treadmill at 8 km/h. VT was defined from the CPET data. Peak isometric knee extensor and flexor strength was assessed by a dynamometer, MC by the Körperkoordination test für Kinder tests, and body composition by the bioelectrical impe…

MalePhysiologyEpidemiologySciencelapset (ikäryhmät)WalkingArticleRunningOxygen ConsumptionAccelerometrymaksimaalinen hapenottoHumansObesityChildmotoriset taidotExerciseAdipositykehonkoostumusElectromyographyQRfyysinen kuntoPhysical FitnessChild PreschoolphysiologyBody CompositionExercise TestMedicineFemaleepidemiologyfyysinen aktiivisuuslihasvoimaScientific Reports
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Physical activity levels in adults and elderly from triaxial and uniaxial accelerometry. The Tromsø study

2019

Introduction - Surveillance of physical activity at the population level increases the knowledge on levels and trends of physical activity, which may support public health initiatives to promote physical activity. Physical activity assessed by accelerometry is challenged by varying data processing procedures, which influences the outcome. We aimed to describe the levels and prevalence estimates of physical activity, and to examine how triaxial and uniaxial accelerometry data influences these estimates, in a large population-based cohort of Norwegian adults. Methods - This cross-sectional study included 5918 women and men aged 40–84 years who participated in the seventh wave of the Tromsø St…

MalePopulation levelPhysiologyCross-sectional studySocial SciencesWalkingBody Mass Index0302 clinical medicineSociologyAccelerometryMedicine and Health SciencesMedicinePublic and Occupational Health030212 general & internal medicineSport and Fitness SciencesData ProcessingSchoolsMultidisciplinaryVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801IdrottsvetenskapNorwayQRMiddle AgedSports Science3. Good healthPhysiological ParametersCohortEngineering and TechnologyMedicineFemaleInformation TechnologyResearch ArticleComputer and Information Sciencesmedicine.medical_specialtySciencePhysical activityEducationWearable Electronic Devices03 medical and health sciencesAge DistributionHumansSports and Exercise MedicineExercise physiologyExerciseEducational AttainmentAgedSedentary timeBiological Locomotionbusiness.industryBody WeightBiology and Life SciencesPhysical Activity030229 sport sciencesConfidence intervalCross-Sectional StudiesPhysical FitnessPhysical therapySedentary BehaviorElectronicsAccelerometersVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessBody mass indexhuman activities
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