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A Structured and Flexible Language for Physical Activity Assessment and Characterization.

Silva P, Andrade MT, Carvalho P, Mota J - J Sports Med (Hindawi Publ Corp) (2013)

Bottom Line: Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns.To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors.The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs.

View Article: PubMed Central - PubMed

Affiliation: CIAFEL, Faculty of Sports, University of Porto, 4200-450 Porto, Portugal.

ABSTRACT
Developing more accurate assessments of physical activity (PA) and sedentary behavior (SB) is an important public health research priority. Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns. Moreover, they are influenced by several factors including temporal-spatial constraints and social conditions. To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors. The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs. The ontology would establish a flexible base language to facilitate standardized descriptions of these behaviors for researchers and public health professionals.

No MeSH data available.


Related in: MedlinePlus

Conceptual diagram of the base classes intended for physical activity and inactivity classification.
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fig2: Conceptual diagram of the base classes intended for physical activity and inactivity classification.

Mentions: Based on these classes and on the model proposed in Figure 1, we define an ontology hierarchy to be used as a common language for researchers involved in PA and SB analysis and classification. Figure 2 presents the proposed OPA ontological model. The core ontology is composed of the defined generic classes for activity classification and for the individual conducting the activity. Those classes follow very closely the widely accepted compendium for PA by Ainsworth et al. [25]; the compendium is used globally in a variety of situations, for example, to quantify the energy cost of PA and SB in adults for surveillance activities [26]; in research studies and in clinical settings; to write PA recommendations; to assess energy expenditure in individuals. Connected to this base ontology, extended ontologies are used to allow capturing knowledge external to the activity but very likely to have a decisive impact on the way activity is conducted. These extended ontologies incorporate concepts that represent factors related to the dimensions “Time,” “Space,” and “Social.” They can be seen as the representation of the context under which the activity is being performed and will permit standardized comparisons of correlates, with similar measures in high-income and low-income countries, that take into account strengths of different correlates and an investigation of cultural and country-level factors [6].


A Structured and Flexible Language for Physical Activity Assessment and Characterization.

Silva P, Andrade MT, Carvalho P, Mota J - J Sports Med (Hindawi Publ Corp) (2013)

Conceptual diagram of the base classes intended for physical activity and inactivity classification.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4590892&req=5

fig2: Conceptual diagram of the base classes intended for physical activity and inactivity classification.
Mentions: Based on these classes and on the model proposed in Figure 1, we define an ontology hierarchy to be used as a common language for researchers involved in PA and SB analysis and classification. Figure 2 presents the proposed OPA ontological model. The core ontology is composed of the defined generic classes for activity classification and for the individual conducting the activity. Those classes follow very closely the widely accepted compendium for PA by Ainsworth et al. [25]; the compendium is used globally in a variety of situations, for example, to quantify the energy cost of PA and SB in adults for surveillance activities [26]; in research studies and in clinical settings; to write PA recommendations; to assess energy expenditure in individuals. Connected to this base ontology, extended ontologies are used to allow capturing knowledge external to the activity but very likely to have a decisive impact on the way activity is conducted. These extended ontologies incorporate concepts that represent factors related to the dimensions “Time,” “Space,” and “Social.” They can be seen as the representation of the context under which the activity is being performed and will permit standardized comparisons of correlates, with similar measures in high-income and low-income countries, that take into account strengths of different correlates and an investigation of cultural and country-level factors [6].

Bottom Line: Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns.To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors.The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs.

View Article: PubMed Central - PubMed

Affiliation: CIAFEL, Faculty of Sports, University of Porto, 4200-450 Porto, Portugal.

ABSTRACT
Developing more accurate assessments of physical activity (PA) and sedentary behavior (SB) is an important public health research priority. Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns. Moreover, they are influenced by several factors including temporal-spatial constraints and social conditions. To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors. The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs. The ontology would establish a flexible base language to facilitate standardized descriptions of these behaviors for researchers and public health professionals.

No MeSH data available.


Related in: MedlinePlus