Tatiana Sadalla Collese1,2, Augusto César Ferreira De Moraes3, Juan Miguel Fernández-Alvira4,5,6,7,8, Nathalie Michels9, Stefaan De Henauw9, Yannis Manios10, Odysseas Androutsos10, Anthony Kafatos11, Kurt Widhalm12, Myriam Galfo13, Laurent Beghin14, Michael Sjöström15, Raquel Pedrero-Chamizo16, Heráclito Barbosa Carvalho3, Luis A Moreno4,5,6,7,17. 1. YCARE (Youth/Child cArdiovascular Risk and Environmental) Research Group, School of Medicine, Universidade de Sao Paulo, Sao Paulo, Brazil. tcollese@usp.br. 2. Departamento de Medicina Preventiva/Pós-Graduação, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455 - 2º andar - sala 2162, São Paulo, SP, Cep.01246-903, Brazil. tcollese@usp.br. 3. YCARE (Youth/Child cArdiovascular Risk and Environmental) Research Group, School of Medicine, Universidade de Sao Paulo, Sao Paulo, Brazil. 4. GENUD (Growth, Exercise, NUtrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Saragossa, Spain. 5. Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain. 6. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain. 7. Red de Salud Materno-infantil y del Desarrollo (SAMID), Madrid, Spain. 8. Fundación Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain. 9. Department of Public Health, Ghent University, Ghent, Belgium. 10. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece. 11. Preventive Medicine and Nutrition Unit, University of Crete School of Medicine, Heraklion, Crete, Greece. 12. Academic Institute for Clinical Nutrition, Medical University of Vienna, Vienna, Austria. 13. Council for Agricultural Research and Economics-Research Center on Food and Nutrition (CREA-NUT), Rome, Italy. 14. Univ. Lille, CHU Lille, LIRIC UMR 995 Inserm, Clinical Investigation Center, CIC- 1403-Inserm-CHU, Lille, 59000, France. 15. Department of Biosciences and Nutrition (BioNut), Karolinska Institute, Stockholm, Sweden. 16. Polytechnic University of Madrid, Health and Human Performance, Madrid, Spain. 17. Departamento de Medicina Preventiva/Pós-Graduação, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455 - 2º andar - sala 2162, São Paulo, SP, Cep.01246-903, Brazil.
Abstract
OBJECTIVES: To delineate the clustering of energy balance-related behaviors in adolescents and investigate whether these behaviors are associated with the household socioeconomic status and parental education level. METHODS: Two cross-sectional studies assessed information on sedentary behavior, physical activity, sugar-sweetened beverages and fruit and vegetable consumption, and sleep duration by self-reported questionnaires in adolescents (12.5-17.5 years old) from Maringá/Brazil (BRACAH Study; n = 682) and ten European cities (HELENA Study; n = 1252) from nine different countries. Gender-specific cluster analyses were performed separately for each study, applying a combination of hierarchical and non-hierarchical methods. RESULTS: Girls showed equivalent behaviors: Sedentary; Active; Unhealthy Eating; Healthy Eating; while boys differed (Brazilian: Sedentary; Active; Healthy Eating; European: Sedentary; Healthy; Unhealthy Eating). In Brazil, we found no association between socioeconomic status and parental education. In European girls, the high socioeconomic status and both parents' university degree were associated with Healthy Eating. In European boys, the high socioeconomic status was associated with Unhealthy Eating, and the mothers' university degree was associated with the Healthy cluster. CONCLUSIONS: Adolescents show Sedentary behavior, regardless of their sex, country of origin, or socioeconomic condition.
OBJECTIVES: To delineate the clustering of energy balance-related behaviors in adolescents and investigate whether these behaviors are associated with the household socioeconomic status and parental education level. METHODS: Two cross-sectional studies assessed information on sedentary behavior, physical activity, sugar-sweetened beverages and fruit and vegetable consumption, and sleep duration by self-reported questionnaires in adolescents (12.5-17.5 years old) from Maringá/Brazil (BRACAH Study; n = 682) and ten European cities (HELENA Study; n = 1252) from nine different countries. Gender-specific cluster analyses were performed separately for each study, applying a combination of hierarchical and non-hierarchical methods. RESULTS:Girls showed equivalent behaviors: Sedentary; Active; Unhealthy Eating; Healthy Eating; while boys differed (Brazilian: Sedentary; Active; Healthy Eating; European: Sedentary; Healthy; Unhealthy Eating). In Brazil, we found no association between socioeconomic status and parental education. In European girls, the high socioeconomic status and both parents' university degree were associated with Healthy Eating. In European boys, the high socioeconomic status was associated with Unhealthy Eating, and the mothers' university degree was associated with the Healthy cluster. CONCLUSIONS: Adolescents show Sedentary behavior, regardless of their sex, country of origin, or socioeconomic condition.
Entities:
Keywords:
Adolescents; Cluster analysis; Energy balance-related behaviors; Parental education; Socioeconomic status
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