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Conference Paper: Mobile technologies and physical activity behaviour: an example of what you can do with your accelerometry and GPS data
Title | Mobile technologies and physical activity behaviour: an example of what you can do with your accelerometry and GPS data |
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Authors | |
Issue Date | 2013 |
Publisher | Ghent University. |
Citation | The 12th Annual meeting of the International Society for Behavioral Nutrition and Physical Activity (ISBNPA 2013), Ghent, Belgium, 22-25 May 2013. In Abstracts Book, 2013, p. 110-111, abstract S25.3 How to Cite? |
Abstract | PURPOSE: The ability of mobile technologies to continuously collect a large amount of objective data on physical activity (PA) and their correlates can assist the identification of potential determinants of PA behaviour. However, modeling such data, with multiple sources of dependency, can be challenging. METHOD: Objective data on PA and locations were collected on a sample of 95preschoolers using accelerometers and Global Positioning System (GPS) mon… |
Description | Conference Theme: Promoting Healthy Eating and Activity Worldwide Session - S25 Always in touch: physical activity promotion via social media and modern technology: abstract S25.3 |
Persistent Identifier | http://hdl.handle.net/10722/188043 |
DC Field | Value | Language |
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dc.contributor.author | Cerin, E | en_US |
dc.date.accessioned | 2013-08-21T07:26:48Z | - |
dc.date.available | 2013-08-21T07:26:48Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 12th Annual meeting of the International Society for Behavioral Nutrition and Physical Activity (ISBNPA 2013), Ghent, Belgium, 22-25 May 2013. In Abstracts Book, 2013, p. 110-111, abstract S25.3 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/188043 | - |
dc.description | Conference Theme: Promoting Healthy Eating and Activity Worldwide | - |
dc.description | Session - S25 Always in touch: physical activity promotion via social media and modern technology: abstract S25.3 | - |
dc.description.abstract | PURPOSE: The ability of mobile technologies to continuously collect a large amount of objective data on physical activity (PA) and their correlates can assist the identification of potential determinants of PA behaviour. However, modeling such data, with multiple sources of dependency, can be challenging. METHOD: Objective data on PA and locations were collected on a sample of 95preschoolers using accelerometers and Global Positioning System (GPS) mon… | - |
dc.language | eng | en_US |
dc.publisher | Ghent University. | - |
dc.relation.ispartof | Annual Meeting of the International Society for Behavioral Nutrition & Physical Activity, ISBNPA 2013 | en_US |
dc.title | Mobile technologies and physical activity behaviour: an example of what you can do with your accelerometry and GPS data | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Cerin, E: ecerin@hku.hk | en_US |
dc.identifier.authority | Cerin, E=rp00890 | en_US |
dc.description.nature | postprint | - |
dc.identifier.hkuros | 218480 | en_US |
dc.identifier.spage | 110, abstract S25.3 | - |
dc.identifier.epage | 111 | - |
dc.publisher.place | Belgium | - |