A M Santaliestra-Pasías1, T Mouratidou2, L Reisch3, I Pigeot4, W Ahrens4, S Mårild5, D Molnár6, A Siani7, S Sieri8, M Tornatiris9, T Veidebaum10, V Verbestel11, I De Bourdeaudhuij11, L A Moreno1. 1. 1] GENUD (Growth, Exercise, Nutrition and Development) Research Group, Department of Physiatry and Nursing, School of Health Sciences, University of Zaragoza, Facultad de Ciencias de la Salud, Zaragoza, Spain [2] Red SAMID, Instituto de Salud Carlos III, Madrid, Spain. 2. GENUD (Growth, Exercise, Nutrition and Development) Research Group, Department of Physiatry and Nursing, School of Health Sciences, University of Zaragoza, Facultad de Ciencias de la Salud, Zaragoza, Spain. 3. Department of Intercultural Communication and Management, Copenhagen Business School, Frederiksberg, Denmark. 4. 1] Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany [2] Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany. 5. Department of Paediatrics, The Queen Silvia Children's Hospital, University of Gothenburg, Smörslottsgatan, Gothenburg, Sweden. 6. Department of Pediatrics, Medical Faculty, University of Pécs, József A. u. 7., Pécs, Hungary. 7. Unit of Epidemiology and Population Genetics, Institute of Food Sciences, National Research Council, Avellino, Italy. 8. Department of Preventive and Predictive Medicine, Nutritional Epidemiology Unit, Fondazione IRCCS IstitutoNazionaledeiTumori, Milan, Italy. 9. Research and Education Institute of Child Health, StrovolosNicosia, Cyprus. 10. National Institute for Health Development, Center of Health and Behavioral Sciences, Tallinn, Estonia. 11. Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Abstract
BACKGROUND: Dietary patterns, physical activity (PA) and sedentary behaviours are some of the main behavioural determinants of obesity; their combined influence in children has been addressed in a limited number of studies. SUBJECTS/ METHODS: Children (16,228) aged 2-9 years old from eight European countries participated in the baseline survey of the IDEFICS study. A subsample of 11,674 children (50.8% males) were included in the present study. Children's food and beverage consumption (fruit and vegetables (F&V) and sugar-sweetened beverages (SSBs)), PA and sedentary behaviours were assessed via parental questionnaires. Sex-specific cluster analysis was applied to identify behavioural clusters. Analysis of covariance and logistic regression were applied to examine the association between behavioural clusters and body composition indicators (BCIs). RESULTS: Six behavioural clusters were identified (C1-C6) both in boys and girls. In both sexes, clusters characterised by high level of PA (C1 and C3) included a large proportion of older children, whereas clusters characterised by low SSB consumption (C5 and C6) included a large proportion of younger children. Significant associations between derived clusters and BCI were observed only in boys; those boys in the cluster with the highest time spent in sedentary activities and low PA had increased odds of having a body mass index z-score (odds ratio (OR)=1.33; 95% confidence interval (CI)=(1.01, 1.74)) and a waist circumference z-score (OR=1.41; 95%CI=(1.06, 1.86)) greater than one. CONCLUSION: Clusters characterised by high sedentary behaviour, low F&V and SSB consumption and low PA turned out to be the most obesogenic factors in this sample of European children.
BACKGROUND: Dietary patterns, physical activity (PA) and sedentary behaviours are some of the main behavioural determinants of obesity; their combined influence in children has been addressed in a limited number of studies. SUBJECTS/ METHODS:Children (16,228) aged 2-9 years old from eight European countries participated in the baseline survey of the IDEFICS study. A subsample of 11,674 children (50.8% males) were included in the present study. Children's food and beverage consumption (fruit and vegetables (F&V) and sugar-sweetened beverages (SSBs)), PA and sedentary behaviours were assessed via parental questionnaires. Sex-specific cluster analysis was applied to identify behavioural clusters. Analysis of covariance and logistic regression were applied to examine the association between behavioural clusters and body composition indicators (BCIs). RESULTS: Six behavioural clusters were identified (C1-C6) both in boys and girls. In both sexes, clusters characterised by high level of PA (C1 and C3) included a large proportion of older children, whereas clusters characterised by low SSB consumption (C5 and C6) included a large proportion of younger children. Significant associations between derived clusters and BCI were observed only in boys; those boys in the cluster with the highest time spent in sedentary activities and low PA had increased odds of having a body mass index z-score (odds ratio (OR)=1.33; 95% confidence interval (CI)=(1.01, 1.74)) and a waist circumference z-score (OR=1.41; 95%CI=(1.06, 1.86)) greater than one. CONCLUSION: Clusters characterised by high sedentary behaviour, low F&V and SSB consumption and low PA turned out to be the most obesogenic factors in this sample of European children.
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