Search results for "accelerometry"

showing 10 items of 120 documents

Objectively measured physical activity, body composition and physical fitness: Cross-sectional associations in 9- to 15-year-old children.

2018

The aim of this study was to examine and quantify the cross-sectional associations of body composition (BC), physical activity (PA) and sedentary time (ST) with physical fitness (PF) in children and adolescents. A sample of 594 Finnish students (56% girls), aged 9-15 (12.4 ± 1.3 years) were selected for a study performed in 2013. The measurements of the Move! monitoring system for physical functional capacity were used to measure cardiorespiratory and musculoskeletal fitness and fundamental movement skills. Moderate-to-vigorous PA (MVPA) and ST were measured objectively with an accelerometer and BC by a bioelectrical impedance analysis. Fat mass index (FMI) and fat-free mass index (FFMI) we…

GerontologyMaleAdolescentCross-sectional studyPhysical fitnessPhysical activityphysical activityPhysical Therapy Sports Therapy and Rehabilitation03 medical and health sciences0302 clinical medicinenuoretchildrenAccelerometryMedicineHumansOrthopedics and Sports Medicineadolescents030212 general & internal medicineLongitudinal Studiesta315ChildExerciselapsetFinlandkehonkoostumusSedentary lifestyleSedentary timebusiness.industryta3142030229 sport sciencesGeneral Medicinefyysinen kuntoCross-Sectional StudiesPhysical FitnessBody CompositionFemaleSedentary Behaviorbusinessfyysinen aktiivisuusEuropean journal of sport science
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Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

2020

The assessment of trunk sway smoothness using an accelerometer sensor embedded in a smartphone could be a biomarker for tracking motor learning. This study aimed to determine the reliability of trunk sway smoothness and the effect of visual biofeedback of sway smoothness on motor learning in healthy people during unipedal stance training using an iPhone 5 measurement system. In the first experiment, trunk sway smoothness in the reliability group (n = 11) was assessed on two days, separated by one week. In the second, the biofeedback group (n = 12) and no-biofeedback group (n = 12) were compared during 7 days of unipedal stance test training and one more day of retention (without biofeedback…

Malegenetic structuresIntraclass correlationMotor learningmedicine.medical_treatment:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Accelerometry [Medical Subject Headings]lcsh:Chemical technologyBiochemistryAnalytical Chemistry:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]0302 clinical medicinePostural Balancelcsh:TP1-1185InstrumentationPostural BalanceSmartPhone:Anatomy::Body Regions::Torso [Medical Subject Headings]TorsoAtomic and Molecular Physics and OpticsBiomechanical PhenomenaInertial measurement unitEquilibrio posturalAnalysis of varianceMotor learningPsychology:Persons::Persons::Age Groups::Adult::Young Adult [Medical Subject Headings]psychological phenomena and processesAdultbiofeedbackmedicine.medical_specialty:Check Tags::Male [Medical Subject Headings]BiofeedbackTeléfono inteligenteBiofeedback:Psychiatry and Psychology::Psychological Phenomena and Processes::Psychophysiology::Biofeedback Psychology [Medical Subject Headings]Article03 medical and health sciencesYoung AdultPhysical medicine and rehabilitation:Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Postural Balance [Medical Subject Headings]Post-hoc analysismedicineBiorretroalimentación psicológica:Chemicals and Drugs::Biological Factors::Biological Markers [Medical Subject Headings]HumansElectrical and Electronic Engineering:Persons::Persons::Age Groups::Adult [Medical Subject Headings]inertial measurement unitReproducibility of ResultsBiofeedback Psychology030229 sport sciencesTrunkPower law of practicePostural balance:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Evaluation Studies as Topic::Reproducibility of Results [Medical Subject Headings]:Phenomena and Processes::Physical Phenomena::Mechanical Phenomena::Biomechanical Phenomena [Medical Subject Headings]motor learning030217 neurology & neurosurgerySensors (Basel, Switzerland)
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Individual Scaling of Accelerometry to Preferred Walking Speed in the Assessment of Physical Activity in Older Adults

2020

Abstract Background Walking forms a large portion of physical activity (PA) of older adults. We assessed free-living PA using acceleration corresponding to preferred walking speed as a relative cut-point and studied how it relates to age. We compared the relative cut-point to a common absolute cut-point of moderate-to-vigorous physical activity (MVPA). Method Four hundred forty-four community-dwelling adults aged 75, 80, and 85 years wore an accelerometer on the thigh during a PA surveillance period and a modified 6-minute walking test (6MWT) at preferred speed. Each individual’s mean acceleration (g) during the 6MWT was used as a cut-point for relative PA. Acceleration corresponding to thr…

MaleAgingmedicine.medical_specialtyPhysical activityAccelerometerMetabolic equivalent03 medical and health sciencesexercise intensity0302 clinical medicinePhysical medicine and rehabilitationcut-pointAccelerometrymedicineHumans030212 general & internal medicineExercise physiologyExerciseAgedsuorituskykyAged 80 and overbusiness.industrymittausaktiivisuusrannekeAge Factorsphysical performance030229 sport scienceskävelyWalking SpeedIntensity (physics)Preferred walking speedaccelerometerCross-Sectional StudiesExercise intensityFemaleGeriatrics and Gerontologybusinesshuman activitiesikääntyneetfyysinen aktiivisuusCut-pointThe Journals of Gerontology: Series A
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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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Objectively measured physical activity profile and cognition in Finnish elderly twins

2018

Introduction We studied whether objectively measured physical activity (PA) and sedentary behavior (SB) are associated with cognition in Finnish elderly twins. Methods This cross-sectional study comprised twins born in Finland from 1940 to 1944 in the Older Finnish Twin Cohort (mean age, 72.9 years; 726 persons). From 2014 to 2016, cognition was assessed with a validated telephonic interview, whereas PA was measured with a waist-worn accelerometer. Results In between-family models, SB and light physical activity had significant linear associations with cognition after adjusting for age, sex, wearing time, education level, body mass index, and living condition (SB: β-estimate, −0.21 [95% con…

GerontologykognitioTwinsphysical activityliikunta3124 Neurology and psychiatry0302 clinical medicineCognitionsedentary behaviorAccelerometryMedicine030212 general & internal medicine315 Sport and fitness sciences10. No inequalityta3152. Zero hungerexerciseCognitionta3141Sedentary behaviorta3142Psychiatry and Mental healthagedCohortikääntyneetfyysinen aktiivisuusgenetiikkaPhysical activityaktigrafiaistuminen03 medical and health sciencesGeneticsaccelerometryDementiaExerciseAgedperinnöllisyystiedebusiness.industryPhysical activityActigraphyFeatured Articlemedicine.diseaseActigraphyConfidence intervalta3124kaksosetSedentary behaviorDementiaNeurology (clinical)businessBody mass index030217 neurology & neurosurgerydementia
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Longitudinal and cross-sectional associations of adherence to 24-hour movement guidelines with cardiometabolic risk

2022

This study aimed to examine 1) adherence to 24-hour movement guidelines over a 2-year follow-up in children aged 6-8 years and 2) association of this adherence with cardiometabolic risk factors. Physical activity and sleep were assessed by a monitor combining heart rate and accelerometry measurements. Screen time was reported by the parents. Body fat percentage, waist circumference, blood glucose, serum insulin, plasma lipids and blood pressure were assessed, and a cardiometabolic risk score was calculated using z-scores. Children were classified as meeting the guidelines if they had on average ≥60min/day of moderate-to-vigorous physical activity during the valid days; ≤120min/day of screen…

terveyskasvatusmedicine.medical_treatmentmovement guidelinesPhysical fitnessliikuntaBody fat percentagevarhaislapsuusRisk FactorsAccelerometryOrthopedics and Sports MedicineEarly childhoodChildFINNISH GIRLSMETABOLIC SYNDROMESEDENTARY BEHAVIORylipainoriskitekijätmetabolic profileHEALTH INDICATORSbody fatCardiovascular DiseasesChild PreschoolACCELEROMETRYSCHOOL-AGED CHILDRENfyysinen aktiivisuusmedicine.medical_specialtyWaistBODY-COMPOSITIONpediatricsrasvaprosenttiHEART-RATElapset (ikäryhmät)Physical Therapy Sports Therapy and Rehabilitationinsuliiniuni (lepotila)Articleterveyden edistäminenScreen timeInternal medicineHeart rateMEASURED PHYSICAL-ACTIVITYmedicineHumansExercisebusiness.industryInsulinprospectiveSLEEPverenpaineCross-Sectional StudiesBlood pressureverensokeriterveyskäyttäytyminensydän- ja verisuonitauditSedentary BehaviorSleepbusiness
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Cross-sectional associations of objectively-measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial.

2018

Study Objectives: To examine independent and combined associations of sleep duration and sleep variability with body composition, obesity and type 2 diabetes (T2D) in elders at high cardiovascular risk. Methods: Cross-sectional analysis of 1986 community-dwelling elders with overweight/obesity and metabolic syndrome from PREDIMEDPlus trial. Associations of accelerometry-derived sleep duration and sleep variability with body mass index (BMI), waist circumference (WC) and body composition were assessed fitting multivariable-adjusted linear regression models. Prevalence ratios (PR) and 95% confidence intervals (CI) for obesity and T2D were obtained using multivariable-adjusted Cox regression w…

Malemedicine.medical_specialtyWaist030209 endocrinology & metabolismType 2 diabetesOverweightBody Mass Index03 medical and health sciences0302 clinical medicineRisk FactorsPhysiology (medical)Internal medicineSleep Initiation and Maintenance DisordersAccelerometrymedicineHumansObesityAdiposityAgedMetabolic Syndromebody compositionnight-to-night sleep variabilitybusiness.industryMiddle Agedmedicine.diseaseObesityConfidence intervalCross-Sectional StudiesDiabetes Mellitus Type 2sleep durationFemaleNeurology (clinical)Android fat distributiontype 2 diabetesmedicine.symptomMetabolic syndromeWaist CircumferencebusinessSleepBody mass index030217 neurology & neurosurgery
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Validity of traditional physical activity intensity calibration methods and the feasibility of self-paced walking and running on individualised calib…

2020

There are no practical and valid methods for the assessment of individualised physical activity (PA) intensity in observational studies. Therefore, we investigated the validity of commonly used metabolic equivalent of tasks (METs) and predetermined PA intensity classification methods against individualised PA intensity classification in 35 children 7–11-years-of-age. Then, we studied validity of mean amplitude deviation (MAD) measured by accelerometry during self-paced walking and running in assessment of individualised PA intensity. Individualised moderate PA (MPA) was defined as V̇O2 ≥ 40% of V̇O2reserve and V̇O2 3–6 (or alternatively > 4–7) METs as MPA and > 6 (> 7) METs as VPA. Task int…

MaleEpidemiologyHEART-RATElcsh:Medicinelapset (ikäryhmät)Paediatric researchArticleVALIDATIONRunningACCELEROMETERAccelerometryHumans315 Sport and fitness sciencesChildlcsh:ScienceExerciselcsh:RADULTSEXERCISE INTENSITYWalking SpeedmittausmenetelmätMetabolismRisk factorsvaliditeettiFeasibility StudiesFemalelcsh:QCARDIORESPIRATORY FITNESSfyysinen aktiivisuusRESPONSES
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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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Is device-measured vigorous physical activity associated with health-related outcomes in children and adolescents? A systematic review and meta-analy…

2021

Highlights • Higher vigorous-intensity physical activity seems to be negatively related to adiposity and cardiometabolic risk score among children and adolescents later in life. • Higher vigorous-intensity physical activity is positively related to cardiorespiratory fitness and total body bone mineral density among children and adolescents later in life. • The present results support the need to further strengthen vigorous-intensity physical activity recommendations for children and adolescents.

Malemedicine.medical_specialtyAdolescentPhysical activityMEDLINEPhysical Therapy Sports Therapy and RehabilitationReviewCorrelation03 medical and health sciences0302 clinical medicineBiasBone DensityRisk FactorsInternal medicineAccelerometryFitnessmedicineConfidence IntervalsHumansOrthopedics and Sports Medicine030212 general & internal medicineProspective StudiesChildExerciseAdiposityBone mineralbusiness.industryPhysical activityfood and beveragesCardiorespiratory fitness030229 sport sciencesRandom effects modelConfidence intervalObservational Studies as TopicCardiorespiratory FitnessMeta-analysisChild PreschoolGV557-1198.995Sports medicineFemalebusinessRC1200-1245SportsJournal of Sport and Health Science
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