Search results for "fyysinen"

showing 10 items of 1264 documents

Is physical activity associated with low-risk health behaviours among 15-year-old adolescents in Finland?

2012

Aims: To investigate the associations between physical activity and the pattern of risk health behaviour consisting of smoking, alcohol consumption, snuff (snus), cannabis, and condom use among 15-year-old adolescents, taking their educational aspirations and family affluence into account. Methods: The data were collected in the Health Behaviour in School-aged Children (HBSC) study in Finland in 2006. Standardised questionnaires were issued at schools to a 15-year-old nationally representative sample, of which 84.5% (1710 pupils) participated. Logistic regression analysis was used to explore the associations between physical activity, pattern of risk health behaviour, family affluence, and…

MaleMarijuana AbuseCross-sectional studyHealth Behaviorphysical activityfamily affluencelaw.inventionCondomsnuoretlawMedicineFinlandeducation.field_of_studybiologyexerciseSmokingAge Factorsta3141General MedicineTobacco Use Disorderriskitekijärisk factorSnusEducational StatusFemaleFamily Relationsmedicine.medical_specialtyTobacco SmokelessAlcohol DrinkingAdolescentPopulationMotor Activityterveyden edistäminenRisk-TakingSex FactorsCondomliikunta-aktiivisuusEnvironmental healthHumansSnuffRisk factorperheen koettu varallisuusPsychiatryeducationbusiness.industryPublic Health Environmental and Occupational Healthbiology.organism_classificationfyysinen harjoitteluHealth promotionCross-Sectional StudiesAdolescent BehaviorCannabisbusiness
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Physical Activity Level Using Doubly-Labeled Water in Relation to Body Composition and Physical Fitness in Preschoolers

2018

Background and objectives: There is a lack of studies investigating associations of physical activity level (PAL) and activity energy expenditure (AEE) using the doubly-labeled water (DLW) method with body composition and physical fitness in young children. Thus, we aimed to examine cross-sectional associations of PAL and AEE with body composition indices and physical fitness components in Swedish preschool children. Materials and methods: PAL was calculated as total energy expenditure measured using DLW divided by the predicted basal metabolic rate in 40 children aged 5.5 (standard deviation 0.2) years. AEE was calculated as total energy expenditure minus basal metabolic rate and the therm…

MaleMedicine (General)obesityPhysical fitnessOverweightOxygen IsotopesValidation Studies as TopicPhysical strengthBody Mass Index0302 clinical medicineenergy expenditureMedicine030212 general & internal medicineta315Childrencardiorespiratory fitnessCardiorespiratory fitnessta3141General Medicineenergy expenditure; obesity; cardiorespiratory fitness; muscular strength; childrenhumanitiesfyysinen kuntoChild PreschoolBody CompositionFemalemedicine.symptom030209 endocrinology & metabolismDoubly labeled waterArticle03 medical and health sciencesArbetsmedicin och miljömedicinAnimal scienceR5-920Muscular strengthchildrenBody WaterHumansMuscle StrengthObesityExercisekehonkoostumusSwedenbusiness.industryDrinking WaterCardiorespiratory fitnessOccupational Health and Environmental HealthOverweightDeuteriumPhysical activity levelCross-Sectional StudiesPhysical FitnessesikouluikäisetBasal metabolic ratelihavuusEnergy expenditurebusinessEnergy MetabolismBody mass indexmuscular strengthlihasvoima
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Motor competence, perceived physical competence, physical fitness, and physical activity within Finnish children

2019

The purpose of this study was to investigate reciprocal relationships among students’ motor competence (MC) (leaping, throwing, catching, jumping skills), perceived physical competence, health‐related fitness (HRF) (20 m shuttle run, push‐up, abdominal muscles endurance tests) and objectively measured moderate‐to‐vigorous physical activity (MVPA). Participants included 422 Grade 5 Finnish children (246 girls). Two separate structural equation models investigated paths (a) from MC through both perceived physical competence and HRF to MVPA, and (b) from MVPA through both perceived physical competence and HRF to MC. Model 1 demonstrated an indirect path from MC through HRF to MVPA and a direct…

MaleMulti-stage fitness testPhysical fitnessPhysical activityphysical activityPhysical Therapy Sports Therapy and Rehabilitationlapset (ikäryhmät)030204 cardiovascular system & hematologymedicine.disease_causeStructural equation modelingDevelopmental psychology03 medical and health sciences0302 clinical medicineJumpingchildrenmedicineHumansOrthopedics and Sports MedicineChildmotoriset taidotExerciseCompetence (human resources)perceived physical competenceFinlandMotor skillbusiness.industryDirect path030229 sport sciencesfyysinen kuntomotor competenceMotor SkillsPhysical FitnessExercise TestFemalebusinessPsychologyfyysinen aktiivisuus
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Adiposity, physical activity and neuromuscular performance in children

2016

We investigated the associations of body fat percentage, objectively assessed moderate-to-vigorous physical activity (MVPA), and different types of physical activity assessed by a questionnaire with neuromuscular performance. The participants were 404 children aged 6–8 years. Body fat percentage (BF%) was assessed using dual-energy x-ray absorptiometry and physical activity by combined heart rate and movement sensing and a questionnaire. The results of 50-metre shuttle run, 15-metre sprint run, hand grip strength, standing long jump, sit-up, modified flamingo balance, box and block, and sit-and-reach tests were used as measures of neuromuscular performance. Children who had a combination of…

MaleMulti-stage fitness testmedicine.medical_specialtyMovementPhysical fitnessPhysical activityphysical activity030209 endocrinology & metabolismPhysical Therapy Sports Therapy and RehabilitationBody fat percentageArticleBody Mass IndexRunning03 medical and health sciencesGrip strengthAbsorptiometry Photon0302 clinical medicinechildrenSurveys and QuestionnairesHeart rateHumansMedicineOrthopedics and Sports MedicineMuscle StrengthObesityChildMuscle Skeletalta315ExercisePostural BalanceBalance (ability)DXAadiposityHand Strengthbusiness.industry030229 sport sciencesfyysinen kuntoAdipose TissueSprintMotor SkillsExercise Testphysical fitnessPhysical therapybusinesshuman activities
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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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Long-term leisure-time physical activity and other health habits as predictors of objectively monitored late-life physical activity – A 40-year twin …

2018

AbstractIMPORTANCEModerate-to-vigorous physical activity (MVPA) in old age is an important indicator of good health and functional capacity enabling independent living.OBJECTIVETo investigate whether physical activity and other health habits at ages 31-48 years predict objectively measured MVPA decades later.DESIGN, SETTING, AND PARTICIPANTSThis prospective twin cohort study in Finland comprised 616 individuals (197 complete twin pairs, including 91 monozygotic pairs, born 1940-1944), who responded to baseline questionnaires in 1975, 1981, and 1990, and participated in accelerometer monitoring at follow-up (mean age, 73 years).EXPOSURESPrimary exposure was long-term leisure-time physical ac…

MaleMultivariate statisticsFITNESSMonozygotic twinphysical activitylcsh:MedicineDETERMINANTS030204 cardiovascular system & hematologyOverweightCohort StudiesCorrelationHabits0302 clinical medicineEpidemiologyMedicineProspective Studies030212 general & internal medicinelcsh:Sciencetwin stydy2. Zero hungerMultidisciplinarySEDENTARY BEHAVIORRegression analysisMiddle Agedleisure-time3142 Public health care science environmental and occupational healthFemalemedicine.symptomHealth habitsvapaa-aikafyysinen aktiivisuusCohort studymedicine.medical_specialtyPhysical activityArticleSTYLE03 medical and health sciencesLeisure ActivitiesHumansOLDER-ADULTSExerciseSocioeconomic statusAgedMonitoring Physiologickaksostutkimusbusiness.industryDISABILITYMORTALITYlcsh:Rhealth habits030229 sport sciencesTwin studykaksosetpredictorsMOBILITYterveyskäyttäytyminenMultivariate AnalysisRISK-FACTORSlcsh:QFOLLOW-UPbusinessBody mass indexIndependent livingDemographyScientific Reports
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An age-adapted plyometric exercise program improves dynamic strength, jump performance and functional capacity in older men either similarly or more …

2020

Power declines at a greater rate during ageing and is more relevant for functional deterioration than either loss of maximum strength or muscle mass. Human movement typically consists of stretch-shortening cycle action. Therefore, plyometric exercises, using an eccentric phase quickly followed by a concentric phase to optimize power production, should resemble daily function more than traditional resistance training, which primarily builds force production capacity in general. However, it is unclear whether older adults can sustain such high-impact training. This study compared the effects of plyometric exercise (PLYO) on power, force production, jump and functional performance to tradition…

MaleMuscle PhysiologyMuscle FunctionsPhysiologyIsometric exerciseWalkingPlyometric Exercisemedicine.disease_causeJumping0302 clinical medicineJumpingElderlystrength trainingMedicine and Health SciencesEccentricPlyometricsPublic and Occupational HealthLeg pressAged 80 and overMultidisciplinaryexerciseStair climbingQRAge FactorslegsSports SciencekävelyStrength TrainingMedicineLegshyppääminenvoimaharjoittelumedicine.symptomAnatomylihaskunto0305 other medical scienceikääntyneetLocomotionResearch Articlemedicine.medical_specialtyStrength trainingSciencefyysinen toimintakykyjumpingmuscle functionselderlywalking03 medical and health sciencesPhysical medicine and rehabilitation030502 gerontologymedicineAdultsHumansMuscle StrengthSports and Exercise MedicineExerciseAgedbusiness.industryBiological LocomotionBiology and Life SciencesReproducibility of ResultsResistance Training030229 sport sciencesPhysical ActivityjalatKnee painPhysical FitnessAge GroupsBody LimbsPeople and PlacesFeasibility StudiesPopulation Groupingsbusinesssports and exercise medicinehuman activities
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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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Correlates of physical activity parenting : The Skilled Kids study

2018

We examined the relationship between physical activity parenting (PAP) and child, family, and environmental factors in families. The participants were 840 families with young children (n = 993; 5.40 ± 1.14 years) and parents (n = 993; 35.8 ± 5.29 years). Parents' self‐reported PAP (co‐participation, (in)direct support, and encouragement), child‐specific (sex, age, temperament, outdoor time, organized physical activity or sports, sedentary time, media time, PA enjoyment, motor skills compared to peers, PA, and sport facility use), family‐specific (respondent's sex, age, education, exercise frequency, family income, family status, number of children in the family, child's birth order and part…

MaleOLDSParental supportphysical activityparental supportmovement skills0302 clinical medicineResidence CharacteristicsSUPPORTOrthopedics and Sports Medicine030212 general & internal medicineParent-Child Relationsta315Motor skillFinlandmedia_commonAnthropometryParentingFAMILYBirth ordervanhemmatMotor SkillsChild PreschoolRespondentEducational StatusFemalePsychologyOligopeptidesfyysinen aktiivisuusSportsAdultmedia_common.quotation_subjectPhysical activityPhysical Therapy Sports Therapy and RehabilitationFamily incomeliikuntataidot03 medical and health scienceschildrenHumansTemperamentMOTOR COMPETENCEExerciseMETAANALYSISlapsetPERCEPTION030229 sport sciencesAnthropometrySocial ClasstukeminenTemperamentBirth OrderDemography
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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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