7 research outputs found

    Seasonal variation in the distribution of daily stepping in 11-13 year old school children

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    Seasonality studies in adolescent’s physical activity(PA) tend to report total PA (e.g. steps/day) rather than more specific detail such as steps/hour. This study compared the detailed changes in PA between seasons. Thirty three adolescents (baseline age 12.2 ± 0.3y) wore the activPAL activity monitor for 8 days on two occasions. Steps/day were higher in summer (Mdn = 12,879) than winter (Mdn = 0,512), p.05), however, boys had significantly higher step counts in summer between ’13:00-14:00’ (p=.023), ’19:00-20:00’ (p=.032)and ‘20:00-21:00’ (p=.023). Total steps/day masked sex differences within specific hours of the day, particularly evening times. Detailed daily patterns of PA are required to fully understand differences between sexes and across seasons

    How does the built environment affect teenagers (aged 13–14) physical activity and fitness? A cross-sectional analysis of the ACTIVE Project

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    Built environments have been cited as important facilitators of activity and research using geographic information systems (GIS) has emerged as a novel approach in exploring environmental determinants. The Active Children Through Individual Vouchers Evaluation Project used GIS to conduct a cross-sectional analysis of how teenager's (aged 13-14) environments impacted on their amount of activity and influences fitness. The ACTIVE Project recruited 270 participants aged 13-14 (year 9) from 7 secondary schools in south Wales, UK. Demographic data and objective measures of accelerometery and fitness were collected from each participant between September and December 2016. Objective data was mapped in a GIS alongside datasets relating to activity provision, active travel routes, public transport stops, main roads and natural resources. This study shows that fitness and physical activity are not correlated. Teenagers who had higher levels of activity also had higher levels of sedentary time/inactivity. Teenagers showed higher amounts of moderate-to-vigorous physical activity if their homes were closer to public transport. However, they were also more active if their schools were further away from public transport and natural resources. Teenagers were fitter if schools were closer to natural resources. Sedentary behaviour, fitness and activity do not cluster in the same teenagers. Policymakers/planning committees need to consider this when designing teenage friendly environments. Access to public transport, active travel, green space and activities that teenagers want, and need could make a significant difference to teenage health

    Green spaces and child health and development.

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    The ongoing urbanisation worldwide has led to an increasing number of children living in urban areas. Urban children, compared to children from rural areas, are generally exposed to higher levels of a number of environmental hazards such as air pollution, noise and heat, and have limited access to natural environments, including green spaces. At the same time, urban lifestyle is predominantly associated with lower levels of physical activity and higher exposure to crime and psychological stress. Contact with green spaces, on the other hand, is thought to have a defining role in human brain development. An accumulating body of evidence has also associated such contact with improved mental and physical health in children. This chapter aims to present a synopsis of the current state-of-the-art of research linking green space and child health and development. Towards this aim, we (1) elaborate on potential mechanisms underlying health effects of green spaces, (2) highlight the importance of prenatal and postnatal periods as windows of vulnerability, and (3) provide an overview of the available evidence on effects of green spaces on (a) pregnancy outcomes, (b) brain development including structural brain development, as well as behavioural and cognitive development, (c) respiratory and allergic conditions, and (d) cardiometabolic risk factors
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