Search results for "Sedentary behavior"

showing 10 items of 218 documents

Associations of moderate to vigorous physical activity and sedentary behavior with depressive and anxiety symptoms in self-isolating people during th…

2020

Highlights • Nearly half of the participants spent more than 30 min per day in moderate to vigorous physical activity (MVPA). • One-third of the participants spent more than 10 h per day sitting. • Those reporting over 30 min of MVPA/day were less likely to present depressive, anxiety, or co-occurring depressive and anxiety symptoms. • Those reporting over 10 h sitting/day were more likely to present depressive symptoms.

MaleCross-sectional studyBeck Anxiety InventoryHealth BehaviorAnxiety0302 clinical medicineSurveys and QuestionnairesMedicineYoung adultDepression (differential diagnoses)Depressionfood and beveragesMiddle AgedAnxiety DisordersPsychiatry and Mental healthcovid-19QuarantineAnxietyFemalemedicine.symptomCovid-19Coronavirus InfectionsAnxiety disorderBrazilClinical psychologyAdultAdolescentPneumonia ViralArticle03 medical and health sciencesBetacoronavirusHumansExercisePandemicsBiological PsychiatrySedentary lifestylePsychiatric Status Rating Scalesbusiness.industrySARS-CoV-2Physical activityBeck Depression Inventorymedicine.disease030227 psychiatryinventoryCross-Sectional StudiesQuality of LifeSedentary Behaviorbusinesshuman activities030217 neurology & neurosurgeryPsychiatry Research
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Screen media usage, sleep time and academic performance in adolescents: clustering a self-organizing maps analysis.

2014

Screen media usage, sleep time and socio-demographic features are related to adolescents' academic performance, but interrelations are little explored. This paper describes these interrelations and behavioral profiles clustered in low and high academic performance. A nationally representative sample of 3,095 Spanish adolescents, aged 12 to 18, was surveyed on 15 variables linked to the purpose of the study. A Self-Organizing Maps analysis established non-linear interrelationships among these variables and identified behavior patterns in subsequent cluster analyses. Topological interrelationships established from the 15 emerging maps indicated that boys used more passive videogames and compu…

MaleCross-sectional studyEpidemiologyEconomicsIntelligenceEconomics of Training and EducationCulturePsychological interventionSocial Scienceslcsh:MedicineAcademic achievementPediatricsDevelopmental psychologyCultural AnthropologyChild DevelopmentSociologySurveys and QuestionnairesHuman PerformanceMedicine and Health SciencesCluster AnalysisPsychologyPublic and Occupational HealthChildlcsh:ScienceHuman CapitalMultidisciplinarySocial ResearchSocioeconomic Aspects of HealthEducational StatusFemalePsychologyBehavioral and Social Aspects of HealthResearch ArticleSelf-organizing mapAdolescentAffect (psychology)Adolescent MedicineMental Health and PsychiatryHumansCluster analysisSocioeconomic statusSedentary lifestyleBehaviorComputerslcsh:RCognitive PsychologyBiology and Life SciencesAchievementSocial EpidemiologyHealth CareCross-Sectional StudiesVideo GamesSpainAnthropologyDevelopmental PsychologyHuman IntelligenceCognitive Sciencelcsh:QSedentary BehaviorSleepCell PhoneNeurosciencePLoS ONE
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Longitudinal changes in physical activity, sedentary behavior and body mass index in adolescence: Migrations towards different weight cluster

2016

This study examined longitudinal changes in physical activity, sedentary behavior and body mass index in adolescents, specifically their migrations towards a different weight cluster. A cohort of 755 adolescents participated in a three-year study. A clustering Self-Organized Maps Analysis was performed to visualize changes in subjects' characteristics between the first and second assessment, and how adolescents were grouped. Also a classification tree was used to identify the behavioral characteristics of the groups that changed their weight cluster. Results indicated that boys were more active and less sedentary than girls. Boys were especially keen to technological-based activities while …

MaleDecision AnalysisPhysiologyHealth Behaviorlcsh:MedicineOverweightAdolescentsBody Mass Index0302 clinical medicineAnimal CellsMedicine and Health SciencesPublic and Occupational HealthLongitudinal Studies030212 general & internal medicineYoung adultlcsh:ScienceChildNeuronsMultidisciplinarySedentary behaviorPhysiological ParametersResearch DesignCohortEngineering and TechnologyFemaleCellular Typesmedicine.symptomPsychologyManagement EngineeringResearch ArticleAdultmedicine.medical_specialtyAdolescentMotor ActivityResearch and Analysis MethodsDisease clusterYoung Adult03 medical and health sciencesThinnessmedicineHumansObesityExercise physiologyExerciseBehaviorlcsh:RBody WeightDecision TreesBiology and Life SciencesCell BiologyPhysical Activity030229 sport sciencesOverweightmedicine.diseaseObesitySpainAge GroupsCellular NeurosciencePeople and PlacesPhysical therapylcsh:QPopulation GroupingsSedentary BehaviorBody mass indexNeuroscienceDemographyPLOS ONE
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A Type A and Type D Combined Personality Typology in Essential Hypertension and Acute Coronary Syndrome Patients: Associations with Demographic, Psyc…

2016

Many studies have focused on Type A and Type D personality types in the context of cardiovascular diseases (CVDs), but nothing is known about how these personality types combine to create new profiles. The present study aimed to develop a typology of Type A and Type D personality in two groups of patients affected by and at risk for coronary disease. The study involved 711 patients: 51.6% with acute coronary syndrome, 48.4% with essential hypertension (mean age = 56.4 years; SD = 9.7 years; 70.7% men). Cluster analysis was applied. External variables, such as socio-demographic, psychological, lifestyle, and clinical parameters, were assessed. Six groups, each with its own unique combined pe…

MaleEmotionsSocial Scienceslcsh:Medicine030204 cardiovascular system & hematologyAnxietyCardiovascular MedicineEssential hypertensionInhibitionsType D Personality0302 clinical medicinecardiovascular diseaseRisk FactorsMedicine and Health SciencesPsychologyPublic and Occupational Health030212 general & internal medicineBig Five personality traitslcsh:ScienceDepression (differential diagnoses)media_commonMultidisciplinaryAlcohol ConsumptionPersonality types Type A Type DDepressionPersonality typeMiddle AgedAcute Coronary Syndrome; Aged; Anxiety; Depression; Female; Humans; Intracranial Hypotension; Male; Middle Aged; Risk Factors; Sedentary Behavior; Self Concept; Social Adjustment; Social Behavior; Stress Psychological; Life Style; Type A Personality; Type D Personality; Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)Cardiovascular DiseasesAnxietyFemalemedicine.symptomSocial AdjustmentResearch ArticlePersonalitySettore M-PSI/01 - Psicologia Generalemedicine.medical_specialtyhypertensionmedia_common.quotation_subjectIntracranial HypotensionContext (language use)03 medical and health sciencesMental Health and PsychiatrymedicinePersonalityHumansAcute Coronary SyndromePsychiatrySocial BehaviorLife StyleAgedNutritionPersonality TraitsBehaviorbusiness.industryMood DisordersType D personalitylcsh:RBiology and Life SciencesType A and Type B personality theoryType A PersonalityPhysical Activitymedicine.diseaseSelf ConceptDietcoronary syndromelcsh:QSedentary BehaviorbusinessStress PsychologicalPLoS ONE
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Does school physical education really contribute to accelerometer-measured daily physical activity and non sedentary behaviour in high school student…

2018

Physical education has been highlighted as an important environment for physical activity promotion, however, to our knowledge there are no previous studies examining the contribution of physical education to daily accelerometer-measured physical activity and non sedentary behaviour. The purpose was to compare the accelerometer-measured physical activity and sedentary behaviour between physical education, non-physical education and weekend days in adolescents. Of the 394 students from a Spanish high school that were invited to participate, 158 students (83 boys and 75 girls) aged 13-16 years were analyzed (wear time ≥ 600 min). Participants' physical activity and sedentary behaviour were ob…

MaleGerontologyAdolescentBody heightmedia_common.quotation_subjectPhysical activityPhysical Therapy Sports Therapy and RehabilitationAccelerometerBody Mass IndexPhysical education03 medical and health sciences0302 clinical medicinePromotion (rank)AccelerometryHumansOrthopedics and Sports Medicine030212 general & internal medicineStudentsExercisemedia_commonSedentary lifestylePhysical Education and Training030229 sport sciencesBody HeightAdolescent BehaviorFemaleSedentary BehaviorPsychologyBody mass indexJournal of Sports Sciences
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Correlates of physical activity among depressed older people in six low-income and middle-income countries: A community-based cross-sectional study

2018

Objective Despite the benefits of physical activity (PA) in older people with depression, many do not comply with the International PA guidelines. Thus, we investigated what factors influence PA participation among 915 community-dwelling older adults (aged ≥65 years) with depression in 6 low-income and middle-income countries (LMICs). Methods Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. The sample was restricted to those with DSM-IV depression or receiving depression treatment in the last 12 months. PA was assessed by the Global Physical Activity Questionnaire. Participants were dichotomized into low (ie, not meeting 150 mi…

MaleGerontologyCross-sectional studyHealth StatusHealth BehaviorPhysical fitnessPsychological interventionphysical activityComorbidityBody Mass Index0302 clinical medicineRisk FactorsPrevalenceBack painMass index030212 general & internal medicineDepression (differential diagnoses)older adultsAged 80 and overFamily Characteristics*correlatesexercise*exerciseMiddle Agedcorrelates; depression; exercise; older adults; physical activityPsychiatry and Mental healthdepressionAnxietyFemaleIndependent Livingmedicine.symptomPsychology*older adultsmedicine.medical_specialtyPaincorrelates depression exercise older adults physical activity03 medical and health sciences*physical activitymedicineHumansSocial BehaviorDeveloping CountriesAgedDepressive Disorderbusiness.industryPublic healthcorrelatesCross-Sectional StudiesLogistic ModelsUnemploymentSedentary BehaviorGeriatrics and Gerontologybusiness030217 neurology & neurosurgery*depression
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Association between difficulty initiating sleep in older adults and the combination of leisure-time physical activity and consumption of milk and mil…

2014

Background: Research has shown that engaging in leisure-time physical activity (LTPA) and consuming dairy foods can lead to better sleep. Combining these two non-invasive prescriptions may be more effective for helping people fall asleep. This study investigates whether participating in LTPA in conjunction with consuming milk and milk products has a beneficial association with difficulty initiating sleep (DIS) among older adults. Methods: The present study looked at 421 community-dwelling older people aged 65 years and older living in Ibaraki prefecture, Japan (mean age 74.9 ± 5.5 years, male 43.7%). We measured LTPA and sleep latency with the Physical Activity Scale for the Elderly and the…

MaleGerontologyInsomniaCross-sectional studyHealth StatusvanhuksetPoison controlMotor ActivityunettomuusDairyPittsburgh Sleep Quality IndexElderlyLeisure ActivitiesJapanQuality of lifeSleep Initiation and Maintenance DisordersSurveys and QuestionnairesInjury preventionInsomniaAnimalsHumansMedicineExerciseAgedRetrospective StudiesSedentary lifestyleexercisebusiness.industryIncidenceHuman factors and ergonomicsCross-Sectional StudiesMilkQuality of LifedairyFemaleDairy ProductsSedentary BehaviorGeriatrics and Gerontologymedicine.symptombusinesshuman activitiesResearch ArticleFollow-Up Studies
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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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Longitudinal Physical Activity, Body Composition, and Physical Fitness in Preschoolers

2017

Purpose: This study aimed to investigate longitudinal associations of objectively measured physical activity (PA) and sedentary behavior (SB) with body composition and physical fitness at a 12-month follow-up in healthy Swedish 4-yr-old children. Methods: The data from the population-based MINISTOP trial were collected between 2014 and 2016, and this study included the 138 children who were in the control group. PA and SB were assessed using the wrist-worn ActiGraph (wGT3x-BT) accelerometer during seven 24-h periods and, subsequently, defined as SB, light-intensity PA, moderate-intensity PA, vigorous-intensity PA (VPA), and moderate-to-vigorous PA (MVPA). Body composition was measured using…

MaleGerontologyPhysical fitnessPopulationlongitudinal researchPhysical activity030209 endocrinology & metabolismPhysical Therapy Sports Therapy and Rehabilitationpitkittäistutkimusphysical activenessBody Mass Index03 medical and health sciences0302 clinical medicineHumansOrthopedics and Sports MedicineLongitudinal StudiesMuscle Strength030212 general & internal medicineExercise physiologyeducationta315ExerciseSedentary lifestylekehonkoostumuseducation.field_of_studybody compositionbusiness.industryCardiorespiratory fitnessSedentary behaviorta3142fyysinen kuntoCardiorespiratory FitnessMotor SkillsChild Preschoolesikouluikäisetphysical fitnessFemaleSedentary BehaviorbusinessPsychologyBody mass indexpreschool children (age group)fyysinen aktiivisuusFollow-Up StudiesMedicine and Science in Sports and Exercise
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Daily Physical Activity and Sedentary Time Assessed by Acceleration Based on Mean Amplitude Deviation among Older People

2020

Accelerometer-derived estimates of physical activity (PA) and sedentary time have been an important methodological focus. However, little is known about the daily activities among older people during their normal lives. Furthermore, some older individuals would like to be more active, yet experience an unmet PA need, which is defined as the desire to engage in more PA but without the opportunity to act on the desire. This study examined the intensity of daily PA and sedentary behavior measured with accelerometers among older people, and whether PA differs between weekdays and weekends and those with and without the experience of unmet PA need, measured with self-reports. A total of 174 comm…

MaleGerontologyTime FactorsActivities of daily livinghealth promotionHealth Toxicology and MutagenesiseducationPhysical activityPsychological interventionlcsh:MedicineArticleterveyden edistäminen03 medical and health sciences0302 clinical medicineAccelerometryHumansMedicine030212 general & internal medicineExerciseAgedAged 80 and overSedentary timeLight Activitybusiness.industrylcsh:RPublic Health Environmental and Occupational Health030229 sport sciencesSedentary behaviormobilityinactivityFemaleSelf ReportSedentary BehaviorbusinessOlder peoplefyysinen aktiivisuusikääntyneet
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