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RESEARCH PRODUCT

Competing Effects Between Screen Media Time and Physical Activity in Adolescent Girls: Clustering a Self-Organizing Maps Analysis.

Xavier García MassóAlexandra Valencia-perisCarmen Peiró-velertEsther Pérez-gimenoJosé Devís-devísJorge Lizandra

subject

Self-organizing mapAdolescentModerate levelPhysical activity030229 sport sciencesOverweightDevelopmental psychology03 medical and health sciences0302 clinical medicinemedicineCluster AnalysisHumansOrthopedics and Sports MedicineFemale030212 general & internal medicineMass Mediamedicine.symptomCluster analysisPsychologyChildExerciseSedentary lifestyle

description

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 linked to either active or inactive behaviors. Three target clusters were explored in more detail. Cluster 1, named temperate-media actives, showed capabilities of being active while engaging in a moderate level of SMU (TV/video/DVD mainly). In Cluster 2, named prudent-media inactives, and Cluster 3, compulsive-media inactives, a competing effect between SMU and PA emerged, being sedentary SMU behaviors responsible for a low involvement in active pursuits.Conclusions:SMU and PA emerge as both related and independent behaviors in girls, resulting in a moderate competing effect. Findings support the case for recommending the timing of PA and SMU for recreational purposes considering different profiles, sociodemographic factors and types of SMU.

10.1123/jpah.2015-0407https://pubmed.ncbi.nlm.nih.gov/26594901