Search results for "FINLAND"

showing 10 items of 1724 documents

Psychomotor speed in a random sample of 7,979 subjects aged 30 years and over.

2011

Background and aims: Slowing of psychomotor speed among older individuals has been shown in numerous studies. However, in most cases these studies were based on small and selected groups of people and, in some cases, the test procedures did not allow separation of decision time and motor components of the overall performance. The purpose of the present study was to analyse in a large, randomly selected population sample the differences in decision and movement times in simple and multiple-choice test conditions. The association of educational background with psychomotor speed was also examined. Methods: Data on psychomotor speed were collected from a representative nation-wide sample of the…

GerontologyAdultMaleAgingMovementDecision MakingPoison controlSample (statistics)Injury preventionReaction TimeHumansFinlandAgedPsychomotor learningAged 80 and overHuman factors and ergonomicsMiddle AgedTest (assessment)Structured interviewPopulation studyEducational StatusFemaleGeriatrics and GerontologyPsychologyPsychomotor PerformanceDemographyAging clinical and experimental research
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Association of physical fitness with health-related quality of life in Finnish young men

2010

Abstract Background Currently, there is insufficient evidence available regarding the relationship between level of physical fitness and health-related quality of life (HRQoL) in younger adults. Therefore, the aim of the present study was to investigate the impact of measured cardiovascular and musculoskeletal physical fitness level on HRQoL in Finnish young men. Methods In a cross-sectional study, we collected data regarding the physical fitness index, including aerobic endurance and muscle fitness, leisure-time physical activity (LTPA), body composition, health, and HRQoL (RAND 36) for 727 men [mean (SD) age 25 (5) years]. Associations between HRQoL and the explanatory parameters were ana…

GerontologyAdultMaleCross-sectional studyHealth StatusPopulationPhysical fitnesslcsh:Computer applications to medicine. Medical informaticsLogistic regressionYoung AdultQuality of lifeMedicineHumansYoung adulteducationExerciseFinlandeducation.field_of_studybusiness.industryResearchPublic Health Environmental and Occupational HealthGeneral MedicineMental healthPhysical activity levelhumanitiesCross-Sectional StudiesLogistic ModelsPhysical FitnessQuality of Lifelcsh:R858-859.7businessMen's HealthHealth and Quality of Life Outcomes
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Strain of employees in the machine industry in Finland.

1978

In order to investigate the strain of workers in different occupations of the Finnish machine industry, energy expenditure and heart rate of 190 men and 47 women employees were measured during their normal course of work. Work was most strenuous in occupations in the early stages of production and in unskilled jobs. The relative strain of semi-skilled workers was highest in the oldest age groups, over 45 years. It is concluded that when systems for grading the strain of industrial work are constructed, the long-term effects of work and workers' characteristics such as age, sex, weight and physical fitness should be taken into consideration.

GerontologyAdultMaleEngineeringAgingOccupational MedicineRelative strainbusiness.industryPhysical fitnessPhysical ExertionPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsMiddle AgedMachine industryOxygen ConsumptionEnergy expenditureAge groupsHeart RateHumansDemographic economicsFemalebusinessGrading (education)FinlandErgonomics
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The effect of particulate air pollution on life expectancy.

1998

Two recent US cohort studies suggest that current levels of particulate pollution in urban air are associated not only with short-term, but also with long-term increases in cardiorespiratory morbidity and mortality. The aim of the present analyses was to evaluate the change in life expectancy assuming the long-term increase in mortality rates as suggested by these studies. The method of competing causes of death was used and the effect of particulate air pollution on life expectancy was found to be notable in countries with high cardiovascular mortality like the US.

GerontologyAdultMaleEnvironmental EngineeringAdolescentAir pollutionmedicine.disease_causeCohort StudiesLife ExpectancyEnvironmental healthAir PollutionCause of DeathEnvironmental ChemistryMedicineHumansParticle SizeChildWaste Management and DisposalFinlandCardiovascular mortalityAgedbusiness.industryMortality rateParticulate pollutionInfant NewbornInfantCardiorespiratory fitnessMiddle AgedParticulate air pollutionPollutionUnited StatesCardiovascular DiseasesChild PreschoolLife expectancyFemalebusinessCohort studyThe Science of the total environment
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Readiness for health behavior changes among low fitness men in a Finnish health promotion campaign.

2016

Men have been a hard-to-reach population in health behavior programs and it has been claimed that they are less interested in health issues than women. However, less is known about that how ready men are to adopt new health behaviors. This study examined readiness for change in physical activity (PA) and eating behavior (EB) among low fitness and overweight working-aged Finnish men who participated in a PA campaign. Associations among perceived health knowledge, health behaviors, psychosocial factors and readiness for change were studied. Data comprised 362 men aged 18–64. Physical fitness was assessed with a body fitness index constructed on the basis of the Polar OwnIndex Test, a hand gri…

GerontologyAdultMaleHealth Knowledge Attitudes PracticeHealth (social science)AdolescentPhysical fitnessPopulationHealth BehaviormenHealth PromotionOverweightLogistic regressionhealth behaviorSurveys and QuestionnairesmedicineHumanseducationExerciseFinlandeducation.field_of_studybusiness.industryPublic Health Environmental and Occupational Healthta3141Feeding BehaviorMiddle AgedTest (assessment)Health promotionPhysical Fitnesshealth knowledge promotionmiehetstages of changemedicine.symptomHealth behaviorbusinessPsychologyPsychosocialHealth promotion international
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A longitudinal study on genetic and environmental influences on leisure time physical activity in the Finnish Twin Cohort.

2010

The purpose of this study was to examine changes in the contribution of genetic and environmental influences to leisure time physical activity among male and female twins over a 6-year follow-up. At baseline the sample comprised 4,280 monozygotic and 9,276 dizygotic twin individuals, and at follow-up 4,383 monozygotic and 9,439 dizygotic twin individuals. Participants were aged 18–54 years at baseline. Genetic modeling results showed that genetic influences on leisure time physical activity declined from baseline (44%) to follow-up (34%). Most of the genetic influences identified at baseline were present at followup (rg= 0.72). Specific environmental influences increased from baseline (56%)…

GerontologyAdultMaleLongitudinal studyAdolescentDizygotic twinLeisure timePhysical activityEnvironmentMotor ActivityGenetic correlationCohort Studies03 medical and health sciencesYoung Adult0302 clinical medicineLeisure ActivitiesTwins DizygoticMedicineHumans030212 general & internal medicineLongitudinal StudiesGenetics (clinical)Finland030304 developmental biology0303 health sciencesSex CharacteristicsModels Geneticbusiness.industryObstetrics and GynecologyTwins MonozygoticHeritabilityMiddle AgedTwin studyPediatrics Perinatology and Child HealthCohortFemalebusinessDemographyTwin research and human genetics : the official journal of the International Society for Twin Studies
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Sustained participation in youth sport decreases metabolic syndrome in adulthood.

2009

to explore the effect of organized youth sport on metabolic syndrome (MetS) in adulthood. Longitudinal study data from the cardiovascular risk in young Finns study. A total of 1493 males (n=704) and females (n=789) aged 3, 6, 9, 12, 15 and 18 years were randomly selected from five university towns and their rural surroundings in 1980. They were followed up for 21 years. In 2001 they were 24, 27, 30, 33, 36 and 39 years old. Youth sports participation data (participation in sport-club training and competitions) were assessed in 1980 and 1983 using a self-report questionnaire completed in connection with a medical examination. Participants were divided into athletes and non-athletes at each m…

GerontologyAdultMaleLongitudinal studyAdolescentEndocrinology Diabetes and MetabolismMedicine (miscellaneous)Motor ActivityYoung AdultInsulin resistanceSurveys and QuestionnairesmedicinePrevalenceHumansLongitudinal StudiesChildFinlandMetabolic SyndromeNutrition and Dieteticsbiologybusiness.industryAthletesIncidence (epidemiology)ConfoundingAge Factorsmedicine.diseasebiology.organism_classificationObesityCardiovascular DiseasesChild PreschoolFemaleRural areaMetabolic syndromebusinessFollow-Up StudiesSportsInternational journal of obesity (2005)
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Biological age, health, and health-risk indicators among 25-57-year-old men in two parts of Finland.

1975

Biological age, health and health-risk indicators were examined among 460 systematically chosen men, aged 25–57 years, in two parts of Finland. Morbidity rates and the prevalence of some health-risk indicators were higher and the standard of living lower in North Karelia than in South-West Finland. The index of biological age (IBA) did not show significant differences between the districts and did not correlate with health-risk indicators. People working in physically hard occupations (industrial and mining workers) were found to have more diseases and had higher IBA values than had workers in lighter occupations. The results suggest that both ageing and morbidity are regulated by occupati…

GerontologyAdultMaleRiskRural PopulationAgingSocial conditionIndex (economics)Urban PopulationOccupational prestigeBiological ageStandard of livingEnvironmental healthMedicineHealth Status IndicatorsHumansHealth riskOccupationsFinlandbusiness.industryPublic Health Environmental and Occupational HealthMiddle AgedSocioeconomic FactorsAgeingMorbiditybusinessScandinavian journal of social medicine
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Tracking of Television Viewing Time during Adulthood: The Young Finns Study.

2016

Purpose: The aim of this study was to investigate the tracking of television viewing (TV) time as an indicator of sedentary behavior among adults for a period of 25 yr. Methods: A random sample of 1601 subjects (740 men) age 18, 21, and 24 yr participated in the Cardiovascular Risk in Young Finns Study in 1986. TV time during leisure time was measured with a single self-report question at baseline and in 2001, 2007, and 2011. Tracking of TV time was analyzed using Spearman rank correlations and simplex models. Level and change of TV time were examined using linear growth modeling. Results: The 4- and 6-yr integrated TV time stability coefficients, adjusted for measurement errors, were Q0.60…

GerontologyAdultMaleTelevision viewingTV viewingTime FactorsAdolescentLeisure timePhysical Therapy Sports Therapy and RehabilitationSpearman's rank correlation coefficientadult population03 medical and health sciencesYoung Adult0302 clinical medicineSex Factorssedentary behaviorHumansOrthopedics and Sports Medicine030212 general & internal medicineLongitudinal StudiesYoung adultta315FinlandSedentary lifestylemonitasoanalyysiage cohortsAge Factorsta3141ta3142030229 sport sciencesSedentary behaviorstabilityMiddle Agedmultilevel analysisFemaleTelevisionTracking (education)Sedentary BehaviorLinear growthPsychologyDemographyMedicine and science in sports and exercise
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A Prospective Study of Social Isolation, Loneliness, and Mortality in Finland

2016

Objectives. To estimate the simultaneous effects of social isolation and loneliness on mortality. Methods. We analyzed a representative Finnish sample (n = 8650) from the cross-sectional Living Conditions Survey of 1994, with a 17-year follow-up period (1995–2011), by using Cox regression models adjusted for several possible confounding variables. We examined the possible nonlinear threshold effect of social isolation on mortality. Results. The analyses revealed that social isolation predicted mortality even after we controlled for loneliness and control variables. The connection between social isolation and mortality was linear in nature and there was no synergistic effect between social …

GerontologyAdultMalemedicine.medical_specialtyAdolescentAlcohol DrinkingCross-sectional studysocial isolationHealth StatusAJPH ResearchBody Mass Index03 medical and health sciencesSocial supportYoung Adult0302 clinical medicineRisk FactorsEpidemiologymedicinelonelinessHumans030212 general & internal medicineProspective StudiesYoung adultSocial isolationExerciseFinlandAgedProportional hazards modelConfoundingPublic Health Environmental and Occupational HealthSocial SupportLonelinessta5142ta3142Middle AgedmortalityCross-Sectional StudiesSocioeconomic FactorsFemalemedicine.symptomPsychology030217 neurology & neurosurgeryDemographyAmerican Journal of Public Health
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