Search results for " habits"

showing 10 items of 183 documents

Mortality and health-related habits in 900 Finnish former elite athletes and their brothers.

2018

BackgroundThere is conflicting evidence on the associations between participation in vigorous sports, health habits, familial factors and subsequent mortality. We investigated all-cause mortality and health-related behaviour among former elite athletes and their brothers.MethodsThe mortality of Finnish male former elite athletes, who had represented Finland between 1920 and 1965 (n=900) and their age-matched brothers (n=900), was followed from the time when athlete started an elite athlete career until 31 December 2015. The age-adjusted HRs were calculated by a paired Cox proportional hazards model. In 2001, surviving participants (n=199 athletes and n=199 age-matched brothers) reported the…

MaleHealth BehaviorPoison controlADULTHOODmortality rate030204 cardiovascular system & hematologySuicide preventionOccupational safety and healthveljetCohort Studies0302 clinical medicinebrothersSurveys and QuestionnairesSELF-RATED HEALTHMedicineOrthopedics and Sports MedicinekohorttitutkimusFinlandSelf-rated healthALL-CAUSE MORTALITYAged 80 and overbiologySmokingTWIN COHORTGeneral Medicine3142 Public health care science environmental and occupational healthCohortCARDIORESPIRATORY FITNESSCohort studyhuippu-urheilijatkuolleisuusAdultmedicine.medical_specialtyelintavatAlcohol DrinkingDISEASE-SPECIFIC MORTALITYPhysical Therapy Sports Therapy and Rehabilitation03 medical and health sciencesYoung AdultInjury preventioncohort studyHumansMortalityCARDIOVASCULAR EVENTSExerciselifestyle habitsAgedProportional Hazards Modelstop athletesbusiness.industryAthletesSiblings030229 sport sciencesbiology.organism_classificationPHYSICAL-ACTIVITYAthletesPhysical therapyRISK-FACTORSbusinessFOLLOW-UPDemographyBritish journal of sports medicine
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Long-term determinants of changes in television viewing time in adults: Prospective analyses from the Young Finns Study

2018

Purpose The long-term effects of sociodemographic and health characteristics on television viewing (TV) time changes have not been identified in adulthood. We aimed to examine the modifiable and non-modifiable determinants of changes in TV-time in young adults over 10 years. Methods Participants (N = 2929) aged 24-39 years were recruited between 2001 and 2011 from the Cardiovascular Risk in Young Finns Study. Data were collected using questionnaires and a medical examination. The determinants of changes in TV-time were estimated using latent growth modeling for men and women separately. Results For men, inverse associations with initial levels of TV-time were observed for students becoming …

MaleHealth BehaviorPsychological interventionOverweight0302 clinical medicineajankäyttöSurveys and QuestionnairesOrthopedics and Sports Medicine030212 general & internal medicineProspective StudiesYoung adultkatselutottumuksetFinlandFamily CharacteristicsSmokingAge Factorsdeterminantsta3142aikuisuusFemaleTelevisionmedicine.symptomHealth habitsAdultEmploymentTelevision viewingTV-timeadulthoodlongitudinalPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusTime03 medical and health sciencesYoung Adultlatent growth modelingmedicineHumansObesityExercisebusiness.industryLatent growth modelingtelevisio (joukkoviestimet)030229 sport sciencesOverweightta3121medicine.diseasetaustatekijätObesityTime changesSedentary BehaviorbusinessDemographyFollow-Up StudiesScandinavian Journal of Medicine and Science in Sports
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Maintaining everyday life praxis in the time of COVID-19 pandemic measures (ELP-COVID-19 survey)

2020

Abstract Background The extreme social circumstances caused by declared COVID-19 pandemic deeply intervene people’s everyday life and should not be neglected but seen through the view of social reality pinpointing the ‘ordinary’ people. In this article, authors explored basic segments of everyday and their subjective perception to what extent sleeping habits, physical inactivity, physical activity, nutritional habits and smoking have changed. Methods The online survey was conducted in nine European countries (Bosnia and Herzegovina, Croatia, Greece, Kosovo*, Italy, Serbia, Slovakia, Slovenia and Spain) in 4108 participants, aged 15–82 years. The survey took place 30–40 days after World Heal…

MaleHealth Behaviordaily life praxispandemijephysical activitygibanje0302 clinical medicinePandemic030212 general & internal medicineYoung adultEveryday lifemedia_commonAged 80 and overživljenjski stilPublic healtheducation.field_of_studyPraxisudc:316.728:616-036.21SmokingCOVID-19 pandemic measurespublic healthsleeping habitsMiddle AgedEuropeAdolescent Adult Aged 80 and over COVID-19 Europe Exercise Feeding Behavior Female Humans Male Middle Aged Pandemics SARS-CoV-2 Screen Time Sleep Smoking Young Adult Health Behavior Life StyleFemalePsychologyAcademicSubjects/SOC02610AdultCoronavirus disease 2019 (COVID-19)Adolescentmedia_common.quotation_subjectPopulationspalne navadeOriginal Manuscriptphysical activity ; smoking ; lack of exercise ; alcohol drinking ; sports ; World Health Organization ; eating ; sleep ; pandemics ; screen time ; containment ; healthy lifestyle ; coronavirus pandemicScreen Time03 medical and health sciencesScreen timeYoung AdultSleeping habitsHumansAcademicSubjects/MED00860AcademicSubjects/SOC01210educationExerciseLife StylePandemicscoronavirus pandemicAgedConsumption (economics)Daily life praxisPhysical activitySARS-CoV-2koronavirusjavno zdravjePublic Health Environmental and Occupational HealthEating habitsCOVID-19eating habitsFeeding BehaviorCOVID-19 ukrepiprehranjevalne navadeSleepgibalna aktivnost030217 neurology & neurosurgeryDemography
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Longitudinal physical activity trajectories from childhood to adulthood and their determinants: The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…

MaleHealth Statusphysical activityAcademic achievement0302 clinical medicineMedicineOrthopedics and Sports MedicineLongitudinal Studies030212 general & internal medicineYoung adultChildta315FinlandActive groupReference groupaikuiseteducation.field_of_studyta3141ta3142Middle AgedaikuisuusChild PreschoolCohortFemaleHealth habitsfyysinen aktiivisuusAdultAdolescentlongitudinalPopulationPhysical activityPhysical Therapy Sports Therapy and RehabilitationYoung Adult03 medical and health sciencesHumanstrajectorieseducationExerciseLife Stylelapsetbusiness.industry030229 sport scienceslapsuusta3121ta3123behaviourpopulation-basedlatent class growth modellingSelf ReportbusinessDemographyScandinavian Journal of Medicine and Science in Sports
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The differences of Slovenian and Italian daily practices experienced in the first wave of covid-19 pandemic

2022

Abstract Background The COVID-19 pandemic situation with the lockdown of public life caused serious changes in people's everyday practices. The study evaluates the differences between Slovenia and Italy in health-related everyday practices induced by the restrictive measures during first wave of the COVID-19 pandemic. Methods The cross-sectional cohort study examined changes through an online survey conducted in nine European countries from April 15–28, 2020. The survey included questions from a simple activity inventory questionnaire (SIMPAQ), the European Health Interview Survey, and some other questions. To compare difference in changes between European countries we examined Italy with s…

MaleHistoryCOVID19 pandemic measuresCoronavirus disease 2019 (COVID-19)pandemijeWell-beingPhysical activity and inactivity behaviourphysical activitygibanjepandemic measureswell-beinggibalna neaktivnostSurveys and QuestionnairesPandemicHumansDietary/eating habitukrepiSocioeconomicscoronavirus pandemicdietary habitsPandemicsHome confinementudc:316.728:616-036.21koronavirusSARS-CoV-2javno zdravjepublic healthCOVID-19 pandemic measuresPublic Health Environmental and Occupational HealthCOVID-19eating habitshumanitiesDietary/eating habitsCross-Sectional StudiesItalyprehranjevalne navadeCommunicable Disease Controlphysical inactivityQuality of LifeFemalehome confinementgibalna aktivnost
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Eating habits, physical activity, consumption of substances and eating disorders in adolescents.

2011

The aim of this study was to evaluate the differences between adolescents with a high or low risk of developing an eating disorder (ED) in different health behaviors (eating habits, physical activity and the consumption of substances) per gender. The EAT-40 and the Inventory of Behavioral Health in Scholars were applied to 2142 middle school students from Alicante (Spain), of whom 52.8% were girls and 47.2% were boys, with an average age of 13.92 years old (Sd = 1.34). Results indicated that girls with a high risk of developing an ED consumed fewer meals, ate fewer unhealthy foods, followed more diets and paid more attention to nutritional components. Furthermore, they also performed more p…

MaleLinguistics and LanguageCalorieAnorexia NervosaAdolescentAlcohol DrinkingDiet ReducingSubstance-Related DisordersHealth BehaviorStatistics as TopicPhysical activityComorbidityMotor ActivityRisk AssessmentLanguage and LinguisticsDevelopmental psychologyWeight lossEnvironmental healthWeight LossmedicineHumansBulimiaEating habitsChildGeneral PsychologyConsumption (economics)SmokingFeeding Behaviormedicine.diseaseHealth SurveysEating disordersCross-Sectional StudiesSpainFemalemedicine.symptomPsychologyThe Spanish journal of psychology
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Mediterranean dietary pattern and depression: the PREDIMED randomized trial

2013

Background: A few observational studies have found an inverse association between adherence to a Mediterranean diet and the risk of depression. Randomized trials with an intervention based on this dietary pattern could provide the most definitive answer to the findings reported by observational studies. The aim of this study was to compare in a randomized trial the effects of two Mediterranean diets versus a low-fat diet on depression risk after at least 3 years of intervention. Methods: This was a multicenter, randomized, primary prevention field trial of cardiovascular disease (Prevencion con Dieta Mediterranea (PREDIMED Study)) based on community-dwelling men aged 55 to 80 years and wome…

MaleMediterranean diethumanosdepresiónType 2 diabetesDiet MediterraneanTriallaw.inventionRandomized controlled triallawRisk FactorsNutsDepressió psíquicamediana edadDepression (differential diagnoses)Aged 80 and overMedicine(all)ancianoPrimary preventionTraditional medicinedietaDepressionHàbits alimentarisIncidence (epidemiology)Hazard ratioDiabetesGeneral MedicineMiddle AgedLow-fatMental depressionCardiovascular DiseasesFemaleDietaaceites de plantasResearch Articlemedicine.medical_specialtyFood habitsenfermedades cardiovasculares:Ciencias de la Salud::Nutrición y dietética [Materias Investigacion]Mediterranean cookingInternal medicineStatistical significanceMediterranean dietCuina mediterràniaDiabetes Mellitusmedicinefactores de riesgoHumansPlant OilsOlive OilAgedbusiness.industrymedicine.diseaseDietnuecesDiabetes Mellitus Type 2SpainObservational studybusinessOlive oil
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Changes in bread consumption and 4-year changes in adiposity in Spanish subjects at high cardiovascular risk

2012

Ramón Estruch [et al.]

MaleMultivariate analysisWaistFood habitsAbdominal FatMedicine (miscellaneous)Diet MediterraneanWeight GainDiet SurveysAnimal scienceWeight lossSurveys and QuestionnairesWeight LossHumansMedicineObesityFood scienceAdiposityAgedPaNutrition and DieteticsHàbits alimentarisMalalties cardiovascularsbusiness.industrydigestive oral and skin physiologyfood and beveragesFeeding BehaviorBreadMiddle AgedAnthropometryCircumferencemedicine.diseaseObesityDietCardiovascular diseasesQuartileCardiovascular DiseasesSpainObesity AbdominalMultivariate AnalysisObesitatFemaleDietaWaist Circumferencemedicine.symptomEdible GrainbusinessWeight gainBritish Journal of Nutrition
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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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Determining Factors and Critical Periods in the Formation of Eating Habits: Results from the Habeat Project

2016

Un article correspondant à cette présentation devrait paraître en 2017 dans Annals of Nutrition and Metabolism.Un article correspondant à cette présentation devrait paraître en 2017 dans Annals of Nutrition and Metabolism.; Eating habits form early during childhood and are likely to track until the beginning of adulthood. Thus, understanding the formation of eating habits is important. In the HabEat* project we focused on the development of preferences for vegetables since they are the less liked foods for children. Based on the analyses of data from different European cohorts, HabEat found that breast milk may facilitate the consumption of vegetables in later childhood. HabEat found some e…

MaleParents0301 basic medicinefood intakerepas[SDV]Life Sciences [q-bio]BreastfeedingChild BehaviorMedicine (miscellaneous)mealCaloric compensationDevelopmental psychologyEatingVegetablesFood scienceOvereatingChildpreferenceenfantmedia_common2. Zero hungereducation.field_of_studyNutrition and Dieteticsmere exposureinfantsdigestive oral and skin physiologypréférence alimentairematernal feeding practicesBreast Feedingeuropean birth cohortsFeelingrepeated exposureChild Preschool[SCCO.PSYC] Cognitive science/Psychology[SCCO.PSYC]Cognitive science/PsychologyFemalePsychologyfood preferencesToddlermedia_common.quotation_subjectPopulationeducationPre-school childrenapprentissage alimentaire03 medical and health sciences[SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatricschildrenpreschool-childrenvegetable intakeHumansLearningToddlerEating habitseducationConsumption (economics)[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics030109 nutrition & dieteticsEating in the absence of hungerInfantFeeding Behavior[SDV.AEN] Life Sciences [q-bio]/Food and NutritionFruitflavor-flavorVegetable acceptanceBreast feeding[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionacceptance
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