Search results for "physical-activity"

showing 10 items of 83 documents

Mitochondrial genetic haplogroups and incident obesity: a longitudinal cohort study.

2018

Background/Objectives: A small number of case-control studies have suggested that mitochondrial haplogroups could be associated with obesity. We examined whether obesity risk was influenced by mitochondrial haplogroup in a large North American cohort across an 8-year period. We conducted a longitudinal cohort study including individuals from the Osteoarthritis Initiative. Subjects/Methods: Mitochondrial haplogroups were determined by sequencing and PCR-RFLP techniques using this nomenclature: HV, JT, KU, IWX, and super HV/others. The strength of the association between mitochondrial haplogroups and incident obesity was quantified with hazard ratios (HRs), adjusted for potential confounders …

SELECTIONMale0301 basic medicinePopulationBFMedicine (miscellaneous)DNA MitochondrialHaplogroupCohort Studies03 medical and health sciencesHumansMedicineObesityeducationAgedRISKeducation.field_of_studyNutrition and Dieteticsbusiness.industryHaplotypeHazard ratioConfoundingMiddle AgedUnited StatesMedicine (miscellaneous); Nutrition and DieteticsPHYSICAL-ACTIVITY030104 developmental biologyHaplotypesCohortFemalebusinessCohort studyDemographyHuman mitochondrial DNA haplogroup
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Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Com…

2021

(1) Background: The purpose of this study was to evaluate the day-to-day variability and year-to-year reproducibility of an accelerometer-based algorithm for sit-to-stand (STS) transitions in a free-living environment among community-dwelling older adults. (2) Methods: Free-living thigh-worn accelerometry was recorded for three to seven days in 86 (women n = 55) community-dwelling older adults, on two occasions separated by one year, to evaluate the long-term consistency of free-living behavior. (3) Results: Year-to-year intraclass correlation coefficients (ICC) for the number of STS transitions were 0.79 (95% confidence interval, 0.70-0.86, p < 0.001), for mean angular velocity-0.81 (95% c…

TechnologyACCURACYTP1-1185mobility limitationEngineeringAGEAccelerometryHumansKINEMATICSInstruments & InstrumentationAgedScience & TechnologyChemical technologyCommunicationDISABILITYMORTALITYChemistry AnalyticalReproducibility of ResultsliikuntarajoitteetEngineering Electrical & Electronictest-retestmittausmenetelmätChemistryLOWER-EXTREMITY FUNCTIONPHYSICAL-ACTIVITYThighPhysical SciencesYOUNGFemaleIndependent LivingTEST-RETEST RELIABILITYBODY FIXED SENSORchair risetest–retestfyysinen aktiivisuusikääntyneet
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Associations of muscular fitness and body composition in children

2021

Purpose: To examine the associations between muscular fitness (MF) and body composition. Method: MF was assessed with three tests of FitnessGram test battery. Total body fat percentage (BF%), abdominal fat percentage (AF%) and fat-free mass (FFM) were measured by dual-energy X-ray absorptiometry (DXA). The IOTF body mass index (BMI) cut-offs were used to define healthy weight, overweight, and obesity. Results: MF was inversely associated with BF% and AF%. The children in the moderate and high MF groups had significantly lower BF% and AF% compared with the children in the low MF group within the same BMI category. After adjusting for cardiorespiratory fitness (CRF), BMI and sex, the differen…

Test batteryobesitySocial PsychologyPhysical activityCHILDHOODPhysiology030209 endocrinology & metabolismlapset (ikäryhmät)ADULTHOODOverweightPediatricsDEFINITIONS03 medical and health sciencesTRACKING0302 clinical medicineSTRENGTHDevelopmental and Educational PsychologyAbdominal fatmedicineoverweightkehonkoostumusAdiposityDXAadiposityTotal bodyylipaino030229 sport sciencesmedicine.diseaseObesityfyysinen kuntoPHYSICAL-ACTIVITYYOUTHhealth-related fitnesslihavuus516 Educational sciencesmedicine.symptomPsychologylihaskunto
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iGEMS : an integrated model for identification of alternative exon usage events

2016

DNA microarrays and RNAseq are complementary methods for studying RNA molecules. Current computational methods to determine alternative exon usage (AEU) using such data require impractical visual inspection and still yield high false-positive rates. Integrated Gene and Exon Model of Splicing (iGEMS) adapts a gene-level residuals model with a gene size adjusted false discovery rate and exon-level analysis to circumvent these limitations. iGEMS was applied to two new DNA microarray datasets, including the high coverage Human Transcriptome Arrays 2.0 and performance was validated using RT-qPCR. First, AEU was studied in adipocytes treated with (n = 9) or without (n = 8) the anti-diabetes drug,…

WHITE ADIPOCYTESPHYSICAL-ACTIVITYDIFFERENTIATIONARRAY ANALYSISSPLICE VARIANTSRNA-SEQ3111 BiomedicineHUMAN TISSUESTRANSCRIPTOMEalternative exon usageMICROARRAYS3142 Public health care science environmental and occupational healthGENE-EXPRESSION
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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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Non-melancholic depressive symptoms are associated with above average fat mass index in the Helsinki birth cohort study

2022

AbstractThere is an existing link between two of the most common diseases, obesity and depression. These are both of great public health concern, but little is known about the relationships between the subtypes of these conditions. We hypothesized that non-melancholic depressive symptoms have a stronger relationship with both body composition (lean mass and fat mass) and dysfunctional glucose metabolism than melancholic depression. For this cross-sectional study 1510 participants from the Helsinki Birth Cohort Study had their body composition evaluated as lean mass and fat mass (Lean Mass Index [LMI, kg/m2] + Fat Mass Index [FMI kg/m2] = Body Mass Index). Participants were evaluated for dep…

masennusglukoosiaineenvaihduntaINVENTORYpsychologymedical researchDISEASECohort StudiesBMIaineenvaihduntahäiriötmielenterveyshäiriötHumansrisk factorskohorttitutkimusaineenvaihduntakehonkoostumusMETABOLIC SYNDROMEMultidisciplinaryOVERWEIGHTDepressionINSULINPREVALENCEsigns and symptomsCross-Sectional StudiesGlucosePHYSICAL-ACTIVITY3121 General medicine internal medicine and other clinical medicineOBESITYBirth CohortHEALTHneurophysiologymetabolism
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Evaluation of the UP4FUN Intervention: A Cluster Randomized Trial to Reduce and Break Up Sitting Time in European 10-12-Year-Old Children

2015

Background The UP4FUN intervention is a family-involved school-based intervention aiming at reducing and breaking up sitting time at home (with special emphasis on screen time), and breaking up sitting time in school among 10–12 year olds in Europe. The purpose of the present paper was to evaluate its short term effects. Methodology/Principal Findings A total of 3147 pupils from Belgium, Germany, Greece, Hungary and Norway participated in a school-randomized controlled trial. The intervention included 1–2 school lessons per week for a period of six weeks, along with assignments for the children and their parents. Screen time and breaking up sitting time were registered by self-report and to…

medicine.medical_specialtyCross-sectional studylcsh:MedicineYOUNG-PEOPLE030209 endocrinology & metabolismMotor Activitylaw.invention03 medical and health sciencesScreen time0302 clinical medicineRandomized controlled triallawIntervention (counseling)Medicine and Health SciencesCROSS-SECTIONAL SURVEYmedicineHumansBALANCE-RELATED BEHAVIORSHome education030212 general & internal medicineCluster randomised controlled trialMotor activityProgram DevelopmentSCREEN TIMElcsh:ScienceChildEXCESSIVE WEIGHT-GAINMultidisciplinarybusiness.industrylcsh:RSEDENTARY BEHAVIORHEALTH INDICATORSSitting time3. Good healthEuropePHYSICAL-ACTIVITYMEDIA USEPhysical therapylcsh:QENERGY-PROJECTbusinessResearch ArticlePLoS ONE
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Heart Rate Is a Better Predictor of Cardiorespiratory Fitness Than Heart Rate Variability in Overweight/Obese Children: The ActiveBrains Project

2019

The authors would like to thank all the participants who volunteered for this investigation. This work is part of a Ph.D. thesis conducted in the Biomedicine Doctoral Studies of the University of Granada, Spain.

medicine.medical_specialtyPhysiologyHRVAUTONOMIC FUNCTION030204 cardiovascular system & hematologyOverweightlcsh:Physiology03 medical and health sciences0302 clinical medicinePhysiology (medical)Internal medicineADOLESCENTSLinear regressionHeart rateMedicine and Health SciencesmedicineNERVOUS-SYSTEM ACTIVITYHeart rate variabilityMODULATIONTreadmillOriginal ResearchRISKadiposityyouthlcsh:QP1-981business.industryheart rate variabilityCardiorespiratory fitnessASSOCIATION030229 sport sciencessympatheticStepwise regressionGas analyzerPHYSICAL-ACTIVITYtreadmillCOMPARABILITYCardiologyOBESE CHILDRENmedicine.symptombusinessparasympatheticFrontiers in Physiology
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Power of lower extremities and age were the main determinants on the agility test for adults in a cohort of men aged 66–91 years

2019

Study Design: Cross-sectional study. Objective: To evaluate the relationship between agility and personal factors, muscle strength and power, mobility, self-reported balance and physical activity among older men. Methods: Agility was measured by using the Agility Test for Adults (ATA). We studied 100 Finnish male former elite athletes (endurance n = 50; power n = 50) and 50 matched controls aged 66 to 91 years (mean age 75.5 years). The associations between agility and other variables were similar between three groups; thus, multiple linear regression analyses were done by using the pooled data of the participants. Results: On the basis of multiple linear regression analyses, combination of…

medicine.medical_specialtyPopulationPhysical Therapy Sports Therapy and RehabilitationPower (social and political)MUSCLE STRENGTH03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationphysical functioningMedicineOF-DIRECTION SPEED030212 general & internal medicine315 Sport and fitness sciencesmotoriset taidoteducationMETAANALYSISPOPULATIONMotor skillBalance (ability)countermovement jumpeducation.field_of_studymotor skillsbusiness.industryTO-STAND TEST030229 sport sciencesPERFORMANCETest (assessment)AgeingPHYSICAL-ACTIVITYikääntyminenMOBILITYageingAgeingBALANCECohortMuscle strengthmiehetTEST-RETEST RELIABILITYliikkuminenbusinessfyysinen aktiivisuusfeasibilitylihasvoimaEuropean Journal of Physiotherapy
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A meta-review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders

2020

There is increasing academic and clinical interest in how "lifestyle factors" traditionally associated with physical health may also relate to mental health and psychological well-being. In response, international and national health bodies are producing guidelines to address health behaviors in the prevention and treatment of mental illness. However, the current evidence for the causal role of lifestyle factors in the onset and prognosis of mental disorders is unclear. We performed a systematic meta-review of the top-tier evidence examining how physical activity, sleep, dietary patterns and tobacco smoking impact on the risk and treatment outcomes across a range of mental disorders. Result…

medicine.medical_specialtyPsychological interventiondietary patternsphysical activityLifestyle factorslaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled trialanxiety disorderslawmedicineANXIETYBipolar disordertobacco smokingsleepLifestyle factors mental disorders psychological well-being physical activity sedentary behavior tobacco smoking dietary patterns sleep depression anxiety disorders bipolar disorder schizophreniaPsychiatryMETAANALYSISPsychiatrybipolar disorderRISKScience & Technologybusiness.industryPublic healthSEDENTARY BEHAVIORResearch ReportsASSOCIATIONADULTSMental illnessmedicine.diseaseMental healthHEALTH PROBLEMS030227 psychiatrymental disordersschizophreniaPsychiatry and Mental healthPHYSICAL-ACTIVITYSchizophreniaDEPRESSIVE SYMPTOMSdepressionMENDELIAN RANDOMIZATIONAnxietypsychological well-beingPshychiatric Mental Healthmedicine.symptombusinessLife Sciences & Biomedicine030217 neurology & neurosurgery
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