Objectively measured differences in physical activity in five types of schoolyard area

Andersen, Henriette Bondo; Klinker, Charlotte Demant; Toftager, Mette; Pawlowski, Charlotte Skau; Schipperijn, Jasper

doi:10.1016/j.landurbplan.2014.10.005

Cited by 53 publications

(37 citation statements)

References 58 publications

(23 reference statements)

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“…11,12 Two main arguments found in the literature could be relevant to the results of this study: (1) Andersen et al 34 found that the surface of the recreation area influences the amount of time students are involved in MVPA during the SR time. Grass and playground were good areas to promote PA, whereas solid surface areas had the highest proportion of time spent sedentary.…”

Section: Discussionmentioning

confidence: 79%

Moderate-to-Vigorous Physical Activity Levels in Physical Education, School Recess, and After-School Time: Influence of Gender, Age, and Weight Status

Viciana¹,

Mayorga-Vega²,

Martínez-Baena³

2016

Journal of Physical Activity and Health

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Background: Primary and secondary school ages have been considered key moments to address the decrease of moderate-tovigorous physical activity (MVPA). Individual (eg, age, gender, and weight status) and contextual factors (moments of the day) need to be considered for a better explanation of the phenomenon. The quantity and quality of physical activity in Physical Education (PE), school recess (SR), and after school (AS) time need to be taken into account to solve the low levels of MVPA in youth. Methods: A sample of adolescents (N = 231, 14.6 ± 1.2 years old) was studied using accelerometry to determine the objective MVPA level in PE, SR, and AS. Results: Results indicated statistically significant differences on MVPA between contexts (AS > PE > SR, P < .001) as well as regarding the individual factors: age (older > younger in PE and younger > older in SR time; P < .001), gender (boys > girls in all contexts, P < .001), and weight status (overweight > nonoverweight in AS, P < .01). Conclusions: Because students did not meet the daily MVPA recommendations, some strategies have been provided in each of the contexts analyzed.

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Section: Discussionmentioning

confidence: 79%

Moderate-to-Vigorous Physical Activity Levels in Physical Education, School Recess, and After-School Time: Influence of Gender, Age, and Weight Status

Viciana¹,

Mayorga-Vega²,

Martínez-Baena³

2016

Journal of Physical Activity and Health

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“…Similarly, self-reported health and education had a positive effect on physical activity in general and in the nearest green space, while age had a negative effect (Schipperijn et al 2013). Physical activity in children was determined by the gender of the child, with boys being more active than girls (Andersen et al 2015). Socio-demographics as well as social and environmental values had an influence on stakeholders' preferences concerning the management of an urban forest in Northern Sweden (Nordström et al 2011).…”

Section: Significant Relationships Between Demand and Supply Factors mentioning

confidence: 99%

“…Elements such as water presence, large green areas, short distances to the green space and moderate hills with viewpoints attracted visitors; however, this changed if the trails became steep (Neuvonen et al 2007, Colson et al 2010, Termansen et al 2013). The actual activities were largely determined by the infrastructure available (Schipperijn et al 2013, Unt and Bell 2014, Andersen et al 2015. …”

Section: Significant Relationships Between Demand and Supply Factors mentioning

confidence: 99%

Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures: A review of European studies

Hegetschweiler

Vries

Arnberger

et al. 2017

Urban Forestry & Urban Greening

203

101

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Urban green infrastructure provides a number of cultural ecosystem services that are greatly appreciated by the public. In order to benefit from these services, actual contact with the respective ecosystem is often required. Furthermore, the type of services offered depend on the physical characteristics of the ecosystem. We conducted a review of publications dealing with demand or social factors such as user needs, preferences and values as well as spatially explicit supply or physical factors such as amount of green space, (bio)diversity, recreational infrastructure, etc. and linking demand and supply factors together. The aim was to provide an overview of this highly interdisciplinary research, to describe how these linkages are being made and to identify which factors significantly influence dependent variables such as levels of use, activities or health and well-being benefits. Commonly used methods were the combination of questionnaires with either on-site visual recording of elements or GIS data. Links between social and physical data were usually established either by using statistical tools or by overlaying different thematic maps. Compared to the large number of variables assessed in most studies, the significant effects in the end were relatively few, not consistent across the studies and largely dependent on the context they were seen in. Studies focused on aesthetic and recreational services, while spiritual, educational and inspirational services were not considered when creating links to spatially explicit ecological structures. We conclude that an improvement and harmonization of methodologies, cross-country studies and an expansion of this line of research to a wider range of services and more user groups could help clarify relationships and thereby increase applicability for urban management and planning.

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“…So far, the spatial distribution of physical activity in school has been studied in schoolyards using GPS combined with heart rate monitoring [74] and accelerometry [75,76]. However, GPS signals are sensitive to environmental factors such as tall buildings [77] and cannot reveal the altitude of the sensor, making it inapplicable in multi-level buildings.…”

Section: Spatio-temporal Distribution Of Physical Activity In Schoolmentioning

confidence: 99%

Computer Vision-Based Unobtrusive Physical Activity Monitoring in School by Room-Level Physical Activity Estimation: A Method Proposition

Hõrak

2019

Information

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As sedentary lifestyles and childhood obesity are becoming more prevalent, research in the field of physical activity (PA) has gained much momentum. Monitoring the PA of children and adolescents is crucial for ascertaining and understanding the phenomena that facilitate and hinder PA in order to develop effective interventions for promoting physically active habits. Popular individual-level measures are sensitive to social desirability bias and subject reactivity. Intrusiveness of these methods, especially when studying children, also limits the possible duration of monitoring and assumes strict submission to human research ethics requirements and vigilance in personal data protection. Meanwhile, growth in computational capacity has enabled computer vision researchers to successfully use deep learning algorithms for real-time behaviour analysis such as action recognition. This work analyzes the weaknesses of existing methods used in PA research; gives an overview of relevant advances in video-based action recognition methods; and proposes the outline of a novel action intensity classifier utilizing sensor-supervised learning for estimating ambient PA. The proposed method, if applied as a distributed privacy-preserving sensor system, is argued to be useful for monitoring the spatio-temporal distribution of PA in schools over long periods and assessing the efficiency of school-based PA interventions.

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Objectively measured differences in physical activity in five types of schoolyard area

Cited by 53 publications

References 58 publications

Moderate-to-Vigorous Physical Activity Levels in Physical Education, School Recess, and After-School Time: Influence of Gender, Age, and Weight Status

Moderate-to-Vigorous Physical Activity Levels in Physical Education, School Recess, and After-School Time: Influence of Gender, Age, and Weight Status

Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures: A review of European studies

Computer Vision-Based Unobtrusive Physical Activity Monitoring in School by Room-Level Physical Activity Estimation: A Method Proposition

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