Isabel Iguacel1,2,3, Juan M Fernández-Alvira4,5, Karin Bammann6,7, Charalambos Chadjigeorgiou8, Stefaan De Henauw9, Regina Heidinger-Felső10, Lauren Lissner11, Nathalie Michels9, Angie Page12, Lucia A Reisch13, Paola Russo14, Ole Sprengeler7, Toomas Veidebaum15, Claudia Börnhorst7, Luis A Moreno4,16,17,18. 1. GENUD (Growth, Exercise, NUtrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Edificio del SAI, C/Pedro Cerbuna s/n, 50009, Saragossa, Spain. iguacel@unizar.es. 2. Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain. iguacel@unizar.es. 3. Instituto de Investigación Sanitaria Aragón (IIS Aragón), Saragossa, Spain. iguacel@unizar.es. 4. GENUD (Growth, Exercise, NUtrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Edificio del SAI, C/Pedro Cerbuna s/n, 50009, Saragossa, Spain. 5. Fundación Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain. 6. Institute for Public Health and Nursing Sciences (IPP), University of Bremen, Bremen, Germany. 7. Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany. 8. Research and Education Foundation of Child Health, Strovolos, Cyprus. 9. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. 10. Department of Paediatrics, University of Pécs, Pécs, Hungary. 11. Section for Epidemiology and Social Medicine, University of Gothenburg, Gothenburg, Sweden, Gothenburg, Sweden. 12. Department of Exercise and Health Sciences, Centre for Sport, Exercise and Health, University of Bristol, Bristol, UK. 13. Department of Intercultural Communication and Management Copenhagen Business School, Copenhagen, Denmark. 14. Institute of Food Sciences, National Research Council, Avellino, Italy. 15. Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia. 16. Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain. 17. Instituto de Investigación Sanitaria Aragón (IIS Aragón), Saragossa, Spain. 18. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Saragossa, Spain.
Abstract
OBJECTIVES: To examine associations between social vulnerabilities and meeting physical activity (PA) and screen time (ST) recommendations during a 2-year follow-up. METHODS: 13,891 children aged 2.0 to < 9.9 from eight European countries were assessed at baseline and 8482 children at follow-up. Children's sports club membership, PA and ST were collected via parental questionnaires. Moderate-to-vigorous physical activity (MVPA) was objectively assessed with accelerometers. Performing at least 1 h of MVPA daily and spending less than 2 h of ST defined physically active and non-sedentary children, respectively. Vulnerable groups were defined at baseline as children whose parents had minimal social networks, from non-traditional families, with migrant origin or with unemployed parents. Logistic mixed-effects analyses were performed adjusting for classical socioeconomic indicators. RESULTS: Children whose parents had minimal social networks had a higher risk of non-compliance with PA recommendations (subjectively assessed) at baseline. Migrants and children with unemployed parents had longer ST. All vulnerable groups were less likely to be sports club members. CONCLUSIONS: Migrants and children with unemployed parents are at risk for excessive ST and all vulnerable groups have lower odds of being sports club members.
OBJECTIVES: To examine associations between social vulnerabilities and meeting physical activity (PA) and screen time (ST) recommendations during a 2-year follow-up. METHODS: 13,891 children aged 2.0 to < 9.9 from eight European countries were assessed at baseline and 8482 children at follow-up. Children's sports club membership, PA and ST were collected via parental questionnaires. Moderate-to-vigorous physical activity (MVPA) was objectively assessed with accelerometers. Performing at least 1 h of MVPA daily and spending less than 2 h of ST defined physically active and non-sedentary children, respectively. Vulnerable groups were defined at baseline as children whose parents had minimal social networks, from non-traditional families, with migrant origin or with unemployed parents. Logistic mixed-effects analyses were performed adjusting for classical socioeconomic indicators. RESULTS:Children whose parents had minimal social networks had a higher risk of non-compliance with PA recommendations (subjectively assessed) at baseline. Migrants and children with unemployed parents had longer ST. All vulnerable groups were less likely to be sports club members. CONCLUSIONS: Migrants and children with unemployed parents are at risk for excessive ST and all vulnerable groups have lower odds of being sports club members.
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