Search results for "ActiGraph"

showing 10 items of 44 documents

Comparing Subjective With Objective Sleep Parameters Via Multisensory Actigraphy in German Physical Education Students.

2015

This study compared subjective with objective sleep parameters among 72 physical education students. Furthermore, the study determined whether 24-hr recording differs from nighttime recording only. Participants wore the SenseWear Armband™ for three consecutive nights and kept a sleep log. Agreement rates ranged from moderate to low for sleep onset latency (ICC = 0.39 to 0.70) and wake after sleep onset (ICC = 0.22 to 0.59), while time in bed (ICC = 0.93 to 0.95) and total sleep time (ICC = 0.90 to 0.92) revealed strong agreement during this period. Comparing deviations between 24-hr wearing time (n = 24) and night-only application (n = 20) revealed no statistical difference (p > 0.05). As a…

Malemedicine.medical_specialtyFuture studiesTime FactorsNeuroscience (miscellaneous)Medicine (miscellaneous)AudiologyPhysical education03 medical and health sciencesYoung Adult0302 clinical medicineGermanymedicineHumansWakefulnessStudentsPhysical Education and TrainingActigraphy030229 sport sciencesSleep timeActigraphyTime in bedPhysical therapyFemaleNeurology (clinical)Psychology (miscellaneous)Sleep (system call)Sleep onset latencySelf ReportSleep onsetPsychologySleep030217 neurology & neurosurgeryBehavioral sleep medicine
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Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome

2019

Research examining associations between objectively measured napping time and type 2 diabetes (T2D) is lacking. This study aimed to evaluate daytime napping in relation to T2D and adiposity measures in elderly individuals from the Mediterranean region. A cross-sectional analysis of baseline data from 2190 elderly participants with overweight/obesity and metabolic syndrome, in the PREDIMED-Plus trial, was carried out. Accelerometer-derived napping was measured. Prevalence ratios (PR) and 95% confidence intervals (CI) for T2D were obtained using multivariable-adjusted Cox regression with constant time. Linear regression models were fitted to examine associations of napping with body mass inde…

Napfungimental disordersnutritional and metabolic diseasesWaist circumferenceType 2 diabetesPREDIMED-Plushuman activitiesActigraphypsychological phenomena and processesBody mass index
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Is Complexity of Daily Activity Associated with Physical Function and Life Space Mobility among Older Adults?

2022

Purpose Information about mobility, and physical function may be encoded in the complexity of daily activity pattern. Therefore, daily activity pattern complexity metrics could provide novel insight regarding the relationship between daily activity behaviour and health. The purpose of the present study was to examine the association between the complexity of daily activity behaviour, and mobility and physical function among community-dwelling older adults aged 75, 80, and 85 years-of-age. Methods A total of 309 participants wore accelerometers concurrently on the thigh and the trunk for at least 3 consecutive days. Five activity states (lying, sitting, standing, walking, or activity other t…

Physical Therapyfyysinen toimintakykyaktigrafiaSocial SciencesSports Therapy and RehabilitationkompleksisuusWEARABLEHABITUALACTIGRAPHYliikuntakykyMedicine and Health SciencesOrthopedics and Sports Medicinepuettava teknologiaikääntyneetfyysinen aktiivisuusAMBULATORY
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Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome.

2019

The authors especially thank the PREDIMED-Plus participants for their enthusiastic collaboration, the PREDIMED-Plus personnel for their outstanding support, and the personnel of all associated primary care centers for their exceptional effort. Centros de Investigación Biomédica en Red: Obesidad y Nutrición (CIBEROBN), Centros de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP) and Centros de Investigación Biomédica en Red: Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM) are initiatives of Instituto de Salud Carlos III (ISCIII), Madrid, Spain. We thank the PREDIMED-Plus Biobank Network, part of the National Biobank Platform of ISCIII for storing and managing …

Síndrome metabòlicaWaistlcsh:MedicineDietética y nutrición030209 endocrinology & metabolismbody mass indexType 2 diabetesOverweightArticleDiabetis no-insulinodependent03 medical and health sciencesnap0302 clinical medicinemental disordersEndocrinologíaMedicineNon-insulin-dependent diabetes2. Zero hungerbusiness.industrylcsh:Rfunginutritional and metabolic diseasesActigraphyPREDIMED-Plus studyPREDIMED-PlusGeneral Medicinemedicine.diseasewaist circumferenceObesityMetabolic syndrome3. Good healthNapPREDIMED-Plus actigraphy body mass index nap type 2 diabetes waist circumferencetype 2 diabetesmedicine.symptomMetabolic syndromebusinessBody mass indexhuman activities030217 neurology & neurosurgerypsychological phenomena and processesDemographyactigraphy
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Validation of a method to measure total spontaneous physical activity of sedentary and voluntary running mice

2014

Running wheels are commonly used to stimulate physical activity of mice. To control the effects of physical activity on study results, it is important to measure the total activity (all movements) of both sedentary and running wheel stimulated mice.Because there was a lack of a validated system, we built a force-plate based system specifically for this purpose. The validity of the system and its variables (activity index, activity time and distance) were tested in calibration measurements and in situ by measuring the activity of eight mice both with and without running wheels. Four mice served as sedentary controls. Activity index adds changes in vertical reaction forces induced by moving m…

Total physical activityMaleVolitionTime FactorsGeneral NeurosciencePhysical activityEquipment DesignActivity indexMotor ActivityActigraphyHousing AnimalRunningMice Inbred C57BLAnimal scienceTurnoverWheel runningActivity timeCalibrationAnimalsta315SimulationMathematicsJournal of Neuroscience Methods
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Comparison of three activity monitors for estimating sedentary time among children

2016

Background: Time spent sedentary appears to be associated with several health outcomes in adults, but findings are inconsistent in children. Further, the assessment of sedentary time represents a major challenge. The objectives of the present study were to determine whether 1) ActiGraph GT3X+, ActivPAL and SenseWear Armband Pro3 (SWA) provide comparable estimates of sedentary time in 9–12-year-old children, 2) these devices are valid compared with direct observation, and 3) ActivPAL discriminates between sitting and standing behavior. Methods: The sample was 67 children. Data were collected during three consecutive days in November 2012. To test the activity monitors in contexts related to …

Video gamingmedicine.medical_specialtySports medicinePhysical Therapy Sports Therapy and RehabilitationIndirect calorimetryHealth outcomesSitting03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationActivPALmedicineOrthopedics and Sports MedicineSenseWear030212 general & internal medicineSedentary timebusiness.industryRehabilitationDirect observation030229 sport sciencesActiGraphSitting timeConfidence intervalAccelerometerInclinometerPhysical therapybusinesshuman activitiesResearch Article
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Physical activity accumulation along the intensity spectrum differs between children and adults

2021

Purpose Detailed exploration of physical activity accumulation with fine grading along the intensity spectrum has indicated the potential pragmatic utility of such an approach. However, it is currently unclear what sorts of accumulation patterns along particular intensity bands are found in the children and adult populations. Therefore, we conducted a comparison of activity accumulation in specific intensity bands between four distinct populations: children, adults with sedentary lifestyles, habitual joggers, habitual marathon runners. Methods Free-living waist-worn accelerometry records from 28 children aged 7 to 11, and 61 adults aged 25 to 35 were analysed. Activity intensity was evaluat…

activityaktigrafialapset (ikäryhmät)mean amplitude deviationwearablefyysinen aktiivisuusaikuisetactigraphy
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Nature exposure is not associated with parent-reported or objectively measured sleep quality in 6-year-old children : a study in Finland

2023

Exposure to green environments has been associated with better sleep quality in adults. This study examined whether nature exposure is associated with parent-reported or actigraphy measured sleep quality in children. Against the hypotheses, no differences in sleep quality between the case and control groups or a moderating effect of socioeconomic status or sex were found. Green environment exposure may not serve as an environmental intervention to increase sleep quality in children. peerReviewed

childrenympäristöterveysvaikutuksetaktigrafianaturelapset (ikäryhmät)objectivesleepenvironmentuni (lepotila)actigraphy
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The Impact of Age on the Association Between Physical Activity and White Matter Integrity in Cognitively Healthy Older Adults

2020

Cognition emerges from coordinated processing among distributed cortical brain regions, enabled through interconnected white matter networks. Cortical disconnection caused by age-related decline in white matter integrity (WMI) is likely to contribute to age-related cognitive decline. Physical activity (PA) has been suggested to have beneficial effects on white matter structure. However, its potential to counteract age-related decline in WMI is not yet well established. The present explorative study analyzed if PA was associated with WMI in cognitively healthy older adults and if this association was modulated by age. Forty-four cognitively healthy older individuals (aged 60–88 years) with d…

cognition0301 basic medicineGerontologyAgingactigraphy ; cognition ; healthy aging ; white matter integrity ; physical activitymedia_common.quotation_subjectCognitive Neurosciencephysical activityVerbal learninglcsh:RC321-571White matter03 medical and health sciences0302 clinical medicinewhite matter integritymedicineddc:610Cognitive declineAssociation (psychology)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedia_commonActigraphyCognitionBrief Research Report030104 developmental biologymedicine.anatomical_structurehealthy agingPsychological resilienceDisconnectionPsychology030217 neurology & neurosurgeryNeuroscienceactigraphy
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Dog behaviour classification with movement sensors placed on the harness and the collar

2021

Dog owners’ understanding of the daily behaviour of their dogs may be enhanced by movement measurements that can detect repeatable dog behaviour, such as levels of daily activity and rest as well as their changes. The aim of this study was to evaluate the performance of supervised machine learning methods utilising accelerometer and gyroscope data provided by wearable movement sensors in classification of seven typical dog activities in a semi-controlled test situation. Forty-five middle to large sized dogs participated in the study. Two sensor devices were attached to each dog, one on the back of the dog in a harness and one on the neck collar. Altogether 54 features were extracted from th…

dogsaktiivisuusComputer scienceWearable computerAccelerometer413 Veterinary science01 natural sciencesCollarlaw.inventionCanine0403 veterinary scienceFood AnimalsSniffinglawAccelerometryDogälyvaatteetComputer vision412 Animal science dairy science318 Medical biotechnologyMovement (music)Wearable technologyGyroscope04 agricultural and veterinary sciencesliikkeentunnistuskoneoppiminenbehaviour classificationActivity monitoringeläimeteläinten koulutusactivity monitoringBehaviour classification040301 veterinary sciencesaktigrafiacanineSittingkoiraeläinten käyttäytyminenwearable technologyACCELEROMETERClassifier (linguistics)MEASURED PHYSICAL-ACTIVITYaccelerometrypuettava teknologiaVALIDITYkäyttäytyminenbusiness.industry010401 analytical chemistryANIMALS113 Computer and information sciencesActigraphy0104 chemical sciencesACCELERATION DATAkoulutusmittarit (mittaus)Animal Science and ZoologyArtificial intelligencebusinessactigraphy
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