0000000000011025

AUTHOR

Esther Pérez-gimeno

showing 4 related works from this author

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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Does Sedentary Behavior Predict Academic Performance in Adolescents or the Other Way Round? A Longitudinal Path Analysis.

2016

This study examined whether adolescents’ time spent on sedentary behaviors (academic, technological-based and social-based activities) was a better predictor of academic performance than the reverse. A cohort of 755 adolescents participated in a three-year period study. Structural Equation Modeling techniques were used to test plausible causal hypotheses. Four competing models were analyzed to determine which model best fitted the data. The Best Model was separately tested by gender. The Best Model showed that academic performance was a better predictor of sedentary behaviors than the other way round. It also indicated that students who obtained excellent academic results were more likely t…

Computer and Information SciencesSocial SciencesEquipmentlcsh:MedicineAdolescentsStructural equation modelingEducationDevelopmental psychologyFamilies03 medical and health sciences0302 clinical medicineSociology030225 pediatricsCovariateMedicine and Health SciencesPublic and Occupational Health030212 general & internal medicineYoung adultPath analysis (statistics)lcsh:ScienceChildrenSedentary lifestyleCommunication EquipmentBehaviorSchoolsMultidisciplinaryCovarianceComputerslcsh:RBiology and Life SciencesRandom VariablesSedentary behaviorProbability TheoryProsocial behaviorAge GroupsPeople and PlacesPhysical SciencesCohortEngineering and TechnologyPopulation Groupingslcsh:QCell PhonesBehavioral and Social Aspects of HealthPsychologyMathematicsResearch ArticlePLoS ONE
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Competing Effects Between Screen Media Time and Physical Activity in Adolescent Girls: Clustering a Self-Organizing Maps Analysis.

2016

Background:Previous research shows contradictory findings on potential competing effects between sedentary screen media usage (SMU) and physical activity (PA). This study examined these effects on adolescent girls via self-organizing maps analysis focusing on 3 target profiles.Methods:A sample of 1,516 girls aged 12 to 18 years self-reported daily time engagement in PA (moderate and vigorous intensity) and in screen media activities (TV/video/DVD, computer, and videogames), separately and combined.Results:Topological interrelationships from the 13 emerging maps indicated a moderate competing effect between physically active and sedentary SMU patterns. Higher SES and overweight status were l…

Self-organizing mapAdolescentModerate levelPhysical activity030229 sport sciencesOverweightDevelopmental psychology03 medical and health sciences0302 clinical medicinemedicineCluster AnalysisHumansOrthopedics and Sports MedicineFemale030212 general & internal medicineMass Mediamedicine.symptomCluster analysisPsychologyChildExerciseSedentary lifestyleJournal of physical activityhealth
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Comparison of physical activity and sedentary behaviours between young haemophilia A patients and healthy adolescents

2011

In recent studies, adolescent haemophilia A patients and healthy adolescents have been encouraged to participate in physical activity (PA) based on its many established health benefits. However, none of the studies to date has used objective measures of PA and sedentary behaviour. The aims of the current study included: (i) to determine the amount and intensity of habitual PA among haemophilia A and healthy adolescents, and in haemophilia A patients with and without bleeding episodes in the previous year, and (ii) to identify the type and determine the time spent in sedentary activities in which both groups participate to obtain a broadened view of their daily activities. A total of 41 adol…

medicine.medical_specialtyBleeding episodesActivities of daily livingbusiness.industryCross-sectional studyHaemophilia ATriaxial accelerometerPhysical activityHematologyGeneral MedicineHealth benefitsmedicine.diseaseHaemophiliamedicinePhysical therapybusinessGenetics (clinical)Haemophilia
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