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      Socio-demographic and lifestyle factors associated with overweight in a representative sample of 11-15 year olds in France: Results from the WHO-Collaborative Health Behaviour in School-aged Children (HBSC) cross-sectional study

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          Abstract

          Background

          The prevalence of overweight in children and adolescents is high and overweight is associated with poor health outcomes over short- and long-term. Lifestyle factors can interact to influence overweight. Comprehensive studies linking overweight concomitantly with several demographic and potentially-modifiable lifestyle factors and health-risk behaviours are limited in adolescents - an age-group characterized by changes in lifestyle behaviours and high prevalence of overweight. Thus, the objective of the current study was to examine the association of overweight with several socio-demographic and lifestyle variables simultaneously in a representative sample of adolescents.

          Methods

          A nationally representative sample of 11-15 year-olds (n = 7154) in France participated as part of the WHO-Collaborative Health Behaviour in School-aged Children (HBSC) study. Students reported data on their age, height, weight, socio-demographic variables, lifestyle factors including nutrition practices, physical activity at two levels of intensity (moderate and vigorous), sedentary behaviours, as well as smoking and alcohol consumption patterns using standardized HBSC protocols. Overweight (including obesity) was defined using the IOTF reference. The multivariate association of overweight with several socio-demographic and lifestyle factors was examined with logistic regression models.

          Results

          The adjusted odds ratios for the association with overweight were: 1.80 (95% CI: 1.37-2.36) for low family affluence; 0.73 (0.60-0.88) for eating breakfast daily; 0.69 (0.56-0.84) for moderate to vigorous physical activity (MVPA); and 0.71 (0.59-0.86) for vigorous physical activity (VPA). Significant interactions between age and gender as well as television (TV) viewing and gender were noted: for boys, overweight was not associated with age or TV viewing; in contrast, for girls overweight correlated negatively with age and positively with TV viewing. Fruit and vegetable intake, computer and video-games use, smoking and alcohol consumption were not associated with overweight.

          Conclusions

          In multivariate model, family affluence, breakfast consumption and moderate to vigorous as well as vigorous physical activity were negatively associated with overweight. These findings extend previous research to a setting where multiple risk and protective factors were simultaneously examined and highlight the importance of multi-faceted approaches promoting physical activity and healthy food choices such as breakfast consumption for overweight prevention in adolescents.

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          Most cited references 54

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          Establishing a standard definition for child overweight and obesity worldwide: international survey.

          To develop an internationally acceptable definition of child overweight and obesity, specifying the measurement, the reference population, and the age and sex specific cut off points. International survey of six large nationally representative cross sectional growth studies. Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States. 97 876 males and 94 851 females from birth to 25 years of age. Body mass index (weight/height(2)). For each of the surveys, centile curves were drawn that at age 18 years passed through the widely used cut off points of 25 and 30 kg/m(2) for adult overweight and obesity. The resulting curves were averaged to provide age and sex specific cut off points from 2-18 years. The proposed cut off points, which are less arbitrary and more internationally based than current alternatives, should help to provide internationally comparable prevalence rates of overweight and obesity in children.
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            Obesity in children and young people: a crisis in public health.

             ,  T Lobstein,  R Uauy (2004)
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              Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale.

              Socioeconomic inequalities in adolescent health have been little studied until recently, partly due to the lack of appropriate and agreed upon measures for this age group. The difficulties of measuring adolescent socioeconomic status (SES) are both conceptual and methodological. Conceptually, it is unclear whether parental SES should be used as a proxy, and if so, which aspect of SES is most relevant. Methodologically, parental SES information is difficult to obtain from adolescents resulting in high levels of missing data. These issues led to the development of a new measure, the Family Affluence Scale (FAS), in the context of an international study on adolescent health, the Health Behaviour in School-Aged Children (HBSC) Study. The paper reviews the evolution of the measure over the past 10 years and its utility in examining and explaining health related inequalities at national and cross-national levels in over 30 countries in Europe and North America. We present an overview of HBSC papers published to date that examine FAS-related socioeconomic inequalities in health and health behaviour, using data from the HBSC study. Findings suggest consistent inequalities in self-reported health, psychosomatic symptoms, physical activity and aspects of eating habits at both the individual and country level. FAS has recently been adopted, and in some cases adapted, by other research and policy related studies and this work is also reviewed. Finally, ongoing FAS validation work is described together with ideas for future development of the measure.
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                Author and article information

                Journal
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2011
                7 June 2011
                : 11
                : 442
                Affiliations
                [1 ]INSERM U1027, Epidémiologie et Analyses en Santé Publique, Toulouse, France
                [2 ]Université Paul Sabatier Toulouse III, Toulouse, France
                [3 ]Service Médical du Rectorat de Toulouse, Toulouse, France
                [4 ]Faculty of Medicine, University of Paris 13, INSERM U557, Bobigny, France
                Article
                1471-2458-11-442
                10.1186/1471-2458-11-442
                3123212
                21649892
                Copyright ©2011 Dupuy et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Research Article

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