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Policy options to support physical activity in schools.

ABSTRACT: Rates of child and youth obesity and associated chronic diseases are rising worldwide, in part as a result of inadequate physical activity (PA) levels. Environmental change is needed in multiple settings to encourage the adoption of healthy lifestyle behaviours at an early age. Schools are an ideal setting in which to incorporate a variety of interventions in order to improve student PA levels and healthy eating environments. This paper reviews effective and promising policies for increasing PA levels in the school setting and introduces other untested interventions that could become the basis of future well-designed studies. Policies outlined in this review should be considered by a range of stakeholders and be carefully monitored and evaluated. These policies should include daily, quality, safe physical education and physical activity; extracurricular physical activity; training of physical activity leaders; active transportation to and from school; adequate facilities; and community outreach. Successful school initiatives and stakeholders should also be recognized formally for their contribution.

SUBMITTER: Lagarde F

PROVIDER: S-EPMC6974204 | biostudies-literature | 2010 Jul-Aug

REPOSITORIES: biostudies-literature

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Policy options to support physical activity in schools.

Lagarde François F LeBlanc Claire C

Canadian journal of public health = Revue canadienne de sante publique 20100701

Rates of child and youth obesity and associated chronic diseases are rising worldwide, in part as a result of inadequate physical activity (PA) levels. Environmental change is needed in multiple settings to encourage the adoption of healthy lifestyle behaviours at an early age. Schools are an ideal setting in which to incorporate a variety of interventions in order to improve student PA levels and healthy eating environments. This paper reviews effective and promising policies for increasing PA ...[more]

PMID: 21137137

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Project description:BackgroundPhysical activity data provides important information on disease onset, progression, and treatment outcomes. Although analyzing physical activity data in conjunction with other clinical and microbiological data will lead to new insights crucial for improving human health, it has been hampered partly because of the large variations in the way the data are collected and presented.ObjectiveThe aim of this study was to develop a Physical Activity Ontology (PACO) to support structuring and standardizing heterogeneous descriptions of physical activities.MethodsWe prepared a corpus of 1140 unique sentences collected from various physical activity questionnaires and scales as well as existing standardized terminologies and ontologies. We extracted concepts relevant to physical activity from the corpus using a natural language processing toolkit called Multipurpose Text Processing Tool. The target concepts were formalized into an ontology using Protégé (version 4). Evaluation of PACO was performed to ensure logical and structural consistency as well as adherence to the best practice principles of building an ontology. A use case application of PACO was demonstrated by structuring and standardizing 36 exercise habit statements and then automatically classifying them to a defined class of either sufficiently active or insufficiently active using FaCT++, an ontology reasoner available in Protégé.ResultsPACO was constructed using 268 unique concepts extracted from the questionnaires and assessment scales. PACO contains 225 classes including 9 defined classes, 20 object properties, 1 data property, and 23 instances (excluding 36 exercise statements). The maximum depth of classes is 4, and the maximum number of siblings is 38. The evaluations with ontology auditing tools confirmed that PACO is structurally and logically consistent and satisfies the majority of the best practice rules of ontology authoring. We showed in a small sample of 36 exercise habit statements that we could formally represent them using PACO concepts and object properties. The formal representation was used to infer a patient activity status category of sufficiently active or insufficiently active using the FaCT++ reasoner.ConclusionsAs a first step toward standardizing and structuring heterogeneous descriptions of physical activities for integrative data analyses, PACO was constructed based on the concepts collected from physical activity questionnaires and assessment scales. PACO was evaluated to be structurally consistent and compliant to ontology authoring principles. PACO was also demonstrated to be potentially useful in standardizing heterogeneous physical activity descriptions and classifying them into clinically meaningful categories that reflect adequacy of exercise.

Dataset Information

Policy options to support physical activity in schools.

Publications

Policy options to support physical activity in schools.

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