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      Regional differences of physical activity and sedentary behaviour in Swiss children are not explained by socio-demographics or the built environment

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          Abstract

          Objective

          We evaluated whether regional differences in physical activity (PA) and sedentary behaviour (SB) existed along language boundaries within Switzerland and whether potential differences would be explained by socio-demographics or environmental characteristics.

          Methods

          We combined data of 611 children aged 4 to 7 years from four regional studies. PA and SB were assessed by accelerometers. Information about the socio-demographic background was obtained by questionnaires. Objective neighbourhood attributes could be linked to home addresses. Multivariate regression models were used to test associations between PA and SB and socio-demographic characteristics and neighbourhood attributes.

          Results

          Children from the German compared to the French-speaking region were more physically active and less sedentary (by 10–15 %, p < 0.01). Although German-speaking children lived in a more favourable environment and a higher socioeconomic neighbourhood (differences p < 0.001), these characteristics did not explain the differences in PA behaviour between French and German speaking.

          Conclusions

          Factors related to the language region, which might be culturally rooted were among the strongest correlates of PA and SB among Swiss children, independent of individual, social and environmental factors.

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          Most cited references35

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          Environmental factors associated with adults' participation in physical activity: a review.

          N Humpel (2002)
          Promoting physical activity is a public health priority, and changes in the environmental contexts of adults' activity choices are believed to be crucial. However, of the factors associated with physical activity, environmental influences are among the least understood. Using journal scans and computerized literature database searches, we identified 19 quantitative studies that assessed the relationships with physical activity behavior of perceived and objectively determined physical environment attributes. Findings were categorized into those examining five categories: accessibility of facilities, opportunities for activity, weather, safety, and aesthetic attributes. Accessibility, opportunities, and aesthetic attributes had significant associations with physical activity. Weather and safety showed less-strong relationships. Where studies pooled different categories to create composite variables, the associations were less likely to be statistically significant. Physical environment factors have consistent associations with physical activity behavior. Further development of ecologic and environmental models, together with behavior-specific and context-specific measurement strategies, should help in further understanding of these associations. Prospective studies are required to identify possible causal relationships.
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            Physical activity levels and patterns of 9- and 15-yr-old European children.

            The purpose of this study was to assess physical activity levels and patterns from children participating in the European Youth Heart Study (EYHS). Very limited physical activity data exist that have been collected from representative samples of children and even fewer data collected where physical activity has been measured using objective methods. Subjects were 2185 children aged 9 and 15 yr from Denmark, Portugal, Estonia, and Norway. Physical activity data were obtained using MTI (formerly CSA) accelerometers. The primary outcome variable was established as the child's activity level (accelerometer counts per minute). Children wore the accelerometer for 3 or 4 d, which included at least 1 weekend day. Boys were more active than girls at age 9 (784 +/- 282 vs 649 +/- 204 counts.min-1) and 15 yr (615 +/- 228 vs 491 +/- 163 counts.min-1). With respect to time engaged in moderate-intensity activity, gender differences were apparent at age 9 (192 +/- 66 vs 160 +/- 54 min.d-1) and age 15 (99 +/- 45 vs 73 +/- 32 min.d-1). At age 9, the great majority of boys and girls achieved current health-related physical activity recommendations (97.4% and 97.6%, respectively). At age 15, fewer children achieved the guidelines and gender differences were apparent (boys 81.9% vs girls 62.0%). Accelerometers are a feasible and accurate instrument for use in large epidemiological studies of children's activity. Boys tend to be more active than girls, and there is a marked reduction in activity over the adolescent years. The great majority of younger children achieve current physical activity recommendations, whereas fewer older children do so-especially older girls.
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              Physical activity and sedentary behavior among schoolchildren: a 34-country comparison.

              To describe and compare levels of physical activity and sedentary behavior in schoolchildren from 34 countries across 5 WHO Regions. The analysis included 72,845 schoolchildren from 34 countries that participated in the Global School-based Student Health Survey (GSHS) and conducted data collection between 2003 and 2007. The questionnaire included questions on overall physical activity, walking, or biking to school, and on time spent sitting. Very few students engaged in sufficient physical activity. Across all countries, 23.8% of boys and 15.4% of girls met recommendations, with the lowest prevalence in Philippines and Zambia (both 8.8%) and the highest in India (37.5%). The prevalence of walking or riding a bicycle to school ranged from 18.6% in United Arab Emirates to 84.8% in China. In more than half of the countries, more than one third of the students spent 3 or more hours per day on sedentary activities, excluding the hours spent sitting at school and doing homework. The great majority of students did not meet physical activity recommendations. Additionally, levels of sedentariness were high. These findings require immediate action, and efforts should be made worldwide to increase levels of physical activity among schoolchildren. Copyright (c) 2010 Mosby, Inc. All rights reserved.
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                Author and article information

                Contributors
                +41 61 284 83 46 , bettina.bringolf@unibas.ch
                Journal
                Int J Public Health
                Int J Public Health
                International Journal of Public Health
                Springer Basel (Basel )
                1661-8556
                1661-8564
                8 January 2015
                8 January 2015
                2015
                : 60
                : 3
                : 291-300
                Affiliations
                [ ]Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box 4002, Basel, Switzerland
                [ ]University of Basel, Basel, Switzerland
                [ ]Swiss Federal Institute of Sport, Magglingen, Switzerland
                [ ]Center for Development and Environment, University of Bern, Bern, Switzerland
                [ ]University of Lausanne, Lausanne, Switzerland
                [ ]Institute of Social and Preventive Medicine, University of Zürich, Zurich, Switzerland
                Article
                645
                10.1007/s00038-014-0645-8
                4342508
                25567770
                705337e6-ea60-4158-9ae3-018b50555b9e
                © The Author(s) 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

                History
                : 21 July 2014
                : 15 December 2014
                : 17 December 2014
                Categories
                Original Article
                Custom metadata
                © Swiss School of Public Health 2015

                Public health
                accelerometer,childhood physical activity,sedentary behaviour,socio-cultural differences,built environment,socioeconomic neighbourhood

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