Search results for "Screen time"

showing 8 items of 38 documents

Associations between parental rules, style of communication and children's screen time

2015

Background Research suggests an inverse association between parental rules and screen time in pre-adolescents, and that parents’ style of communication with their children is related to the children’s time spent watching TV. The aims of this study were to examine associations of parental rules and parental style of communication with children’s screen time and perceived excessive screen time in five European countries. Methods UP4FUN was a multi-centre, cluster randomised controlled trial with pre- and post-test measurements in each of five countries; Belgium, Germany, Greece, Hungary and Norway. Questionnaires were completed by the children at school and the parent questionnaire was brough…

INTRINSIC MOTIVATIONMaleParentsTELEVISIONSocial SciencesChild BehaviorMothersPoison controlSocial controlSuicide preventionStructural equation modelingDevelopmental psychologyMEDIAComputerScreen timeSurveys and QuestionnairesADOLESCENTSInjury preventionBALANCE-RELATED BEHAVIORSHumansMedicineCluster randomised controlled trialHOMEParent-Child RelationsChildChildrenSedentarySchoolsParentingComputersbusiness.industryCommunicationSELF-DETERMINATION THEORYSEDENTARY BEHAVIORPublic Health Environmental and Occupational HealthHuman factors and ergonomicsEuropePHYSICAL-ACTIVITYVideo GamesFemalePerceptionTelevisionBiostatisticsVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessFAMILY ENVIRONMENTResearch ArticleBMC Public Health
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UP4FUN : A school-based and family-involved intervention to reduce and break up sitting time among European 10-12 year olds – systematic development …

2014

Intervention children sedentary behaviour screen time family
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International Trends in Adolescent Screen-Time Behaviors From 2002 to 2010

2016

Abstract Purpose Engaging in prolonged screen-time behaviors (STBs) is detrimental for health. The objective of the present analyses was to examine temporal trends in TV viewing and computer use among adolescents across 30 countries. Methods Data were derived from the cross-national Health Behaviour in School-aged Children study. Data on TV viewing and computer use for gaming and nongaming purposes were collected in 2002 (n = 139,725 [51.4% girls]), 2006 (n = 149,251 [51.3% girls]), and 2010 (n = 154,845 [51.2% girls]). The temporal trends in TV viewing and computer use were each tested for all countries combined and for each individual country by sex-specific univariate analysis of varianc…

MaleAdolescentPsychological interventionPoison control030209 endocrinology & metabolismGlobal HealthSuicide preventionOccupational safety and health03 medical and health sciencesScreen timeSex Factors0302 clinical medicinesedentary behaviorInjury preventionHumansMedicine030212 general & internal medicinesecular trendsSedentary lifestyleyouthComputersbusiness.industryPublic Health Environmental and Occupational HealthHuman factors and ergonomicscross-country comparisonta3142Health SurveysPsychiatry and Mental healthCross-Sectional StudiesAdolescent Behaviorscreen timePediatrics Perinatology and Child HealthFemaleTelevisionbusinessDemographyJournal of Adolescent Health
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Ideal cardiovascular health at age 5–6 years and cardiometabolic outcomes in preadolescence

2021

AbstractBackgroundThe American Heart Association (AHA) developed a definition of ideal cardiovascular health (ICH) based on the presence of both ideal health behaviours (diet, physical activity, weight status and smoking) and ideal health factors (glucose, total cholesterol and blood pressure levels). However, research of ICH in the paediatric population is scarce. We aimed to study ICH at age 5–6 years by extending the original ICH score with the health behaviours: sleep duration, screen time and prenatal smoke exposure, and to evaluate its association with cardiometabolic outcomes at age 11–12.MethodsA total of 1666 children aged 5–6 years were selected from the database of the ABCD-study…

MaleEpidemiologyHealth BehaviorMedicine (miscellaneous)Child BehaviorBlood Pressure030204 cardiovascular system & hematologyCardiovascular SystemCarotid Intima-Media ThicknessBody Mass Index0302 clinical medicineRisk FactorsEpidemiologyMedicineMass index030212 general & internal medicineProspective StudiesProspective cohort studyChildlcsh:RC620-627ChildrenNetherlandsNutrition and Dieteticslcsh:Public aspects of medicineSmokingLipidslcsh:Nutritional diseases. Deficiency diseasesCardiovascular DiseasesChild PreschoolFemalemedicine.medical_specialtyCardiovascular healthPhysical Therapy Sports Therapy and RehabilitationClinical nutrition03 medical and health sciencesScreen timeHealth behavioursInternal medicineIdeal cardiovascular healthHumanscardiovascular diseasesExercisePreadolescencebusiness.industryResearchlcsh:RA1-1270Cardiovascular riskDietBlood pressurebusinessThe International Journal of Behavioral Nutrition and Physical Activity
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Individual and family environmental correlates of television and computer time in 10-to 12-year-old European children: the ENERGY-project

2015

Background The aim was to investigate which individual and family environmental factors are related to television and computer time separately in 10- to-12-year-old children within and across five European countries (Belgium, Germany, Greece, Hungary, Norway). Methods Data were used from the ENERGY-project. Children and one of their parents completed a questionnaire, including questions on screen time behaviours and related individual and family environmental factors. Family environmental factors included social, political, economic and physical environmental factors. Complete data were obtained from 2022 child–parent dyads (53.8 % girls, mean child age 11.2 ± 0.8 years; mean parental age 4…

MaleGerontologyParentsHealth Knowledge Attitudes PracticeCross-sectional studyPsychological interventionSocial Environment0302 clinical medicineBelgiumGermanySurveys and QuestionnairesADOLESCENTSMedicine and Health SciencesBALANCE-RELATED BEHAVIORS030212 general & internal medicineChildSocioeconomicsChildrenGreeceNorwaySEDENTARY BEHAVIORPeer reviewYOUTHOBESITYFemaleTelevisionFamily RelationsResearch ArticleINTERVENTIONSmedicine.medical_specialtyEnergy (esotericism)030209 endocrinology & metabolismEnvironment03 medical and health sciencesScreen timemedicineHumansHungaryOVERWEIGHTComputersbusiness.industryPublic healthPublic Health Environmental and Occupational HealthSocial environmentFRAMEWORKScreen timeCross-Sectional StudiesPHYSICAL-ACTIVITYBiostatisticsbusiness
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Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: the Cardiovascular Risk in Young Finns …

2021

Background Evidence on whether leisure-time physical activity (LTPA) facilitates individuals’ adoption of multiple healthy behaviors remains scarce. This study investigated the associations of diverse longitudinal LTPA trajectories from childhood to adulthood with diet, screen time, smoking, binge drinking, sleep difficulties, and sleep duration in adulthood. Methods Data were drawn from the Cardiovascular Risk in Young Finns Study. Participants were aged 9–18 years (N = 3553; 51% females) in 1980 and 33–49 years at the latest follow-up in 2011. The LTPA trajectories were identified using a latent profile analysis. Differences in self-reported health-related behaviors across the LTPA trajec…

MaleGATEWAY BEHAVIORHealth BehaviorCHILDHOODTrajectoryphysical activityBinge drinkingruokavaliotRisk FactorsChildFinlandALL-CAUSE MORTALITYASSOCIATIONSalcohollcsh:Public aspects of medicineSmoking3142 Public health care science environmental and occupational healthCardiovascular DiseasesADOLESCENCEscreen timetrajectorySLEEP DURATIONFemaleAlcoholfyysinen aktiivisuusResearch ArticleAdultelintavatAdolescentlongitudinallife-courseruutuaikapitkittäistutkimuselämänkaarismokinguni (lepotila)Young AdultLeisure ActivitiesLife-coursetupakointiHumanssleepExercisealkoholi (päihteet)FOOD FREQUENCY QUESTIONNAIREGENDER-DIFFERENCESPhysical activitylcsh:RA1-1270Screen timebinge drinkingDiethumalahakuisuusHeart Disease Risk FactorsterveyskäyttäytyminenLongitudinaldietSleepBMC Public Health
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Disentangling the Association of Screen Time With Developmental Outcomes and Well-being

2019

GerontologyScreen timebusiness.industryAssociation (object-oriented programming)Pediatrics Perinatology and Child HealthWell-beingMEDLINEMedicinebusinessJAMA Pediatrics
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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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