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Title: Multi-level influences on childhood obesity in Sweden: societal factors, parental determinants and child's lifestyle. Author: Moraeus L, Lissner L, Yngve A, Poortvliet E, Al-Ansari U, Sjöberg A. Journal: Int J Obes (Lond); 2012 Jul; 36(7):969-76. PubMed ID: 22614053. Abstract: BACKGROUND: Swedish school children living in rural areas and in areas with low education are at excess risk of becoming overweight. This study examines influences of societal and individual characteristics (children and their parents) on prevalence of overweight and obesity, in a national sample of 7-9-year-old children. METHOD: Anthropometric and lifestyle data were collected in a nationally representative sample of 3636 Swedish children. Overweight and obesity (International Obesity Task Force (IOTF)) data were analyzed in relation to lifestyle factors, parental weight, education and breast-feeding. RESULTS: The prevalence of overweight was 15.6% including 2.6% obese. Urbanization level and parental characteristics (weight status and education) were related to risk of overweight. Overall less favorable lifestyle characteristics were observed in rural areas and for children of low/medium educated mothers. Boys had greater risk of obesity in semi-urban and rural areas but this was not true for girls. For children's overweight, the living area effect was attenuated in multivariate analysis, while there was an association with origin of parents, high parental weight and medium maternal education. For obesity, the living area effect remained in boys while having two non-Nordic parents predicted obesity in girls. Parental weight status was associated with obesity in both girls and boys. CONCLUSION: Individual and societal factors influence children's weight status, and parental weight status is a strong determinant. Including overweight and obese parents in future health promoting interventions could be a strategy to prevent children from becoming overweight, but identifying those parents may prove difficult. To ensure reaching children with the greatest needs, targeting high risk areas might be a more effective approach.[Abstract] [Full Text] [Related] [New Search]