Prof Malcolm Granat M.H.Granat@salford.ac.uk
Professor
The quantification of free-living physical activities is important in understanding how physical activity and sedentary behaviour impact on health and also on how interventions might modify free-living behaviour to enhance health. Quantification, and the terminology used, has in many ways been determined by the choice of measurement technique. The inter-related issues around measurement devices and terminology used are explored. This paper proposes a terminology and a systematic approach for the analysis of freeliving
activity information using event-based activity data. The event-based approach uses a flexible hierarchical classification of events and, dependent on the research question, analysis can then be undertaken on a selection of these events. The quantification of free-living behaviour is therefore the result of the analysis on the patterns of these chosen events. The application of this approach is illustrated with results from a range of published studies by our group showing how event-based analysis provides a flexible yet robust method of addressing the research question(s) and provides a deeper insight into freeliving behaviour. It is proposed that it is through event-based analysis we can more clearly understand how behaviour is related to health and also how we can produce more relevant outcome measures.
Granat, M. (2012). Event-based analysis of free-living behaviour. Physiological Measurement, 33(11), 1785-1800. https://doi.org/10.1088/0967-3334/33/11/1785
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 29, 2012 |
Publication Date | Oct 31, 2012 |
Deposit Date | Nov 18, 2015 |
Journal | Physiological Measurement |
Print ISSN | 0967-3334 |
Electronic ISSN | 1361-6579 |
Publisher | IOP Publishing |
Volume | 33 |
Issue | 11 |
Pages | 1785-1800 |
DOI | https://doi.org/10.1088/0967-3334/33/11/1785 |
Publisher URL | http://dx.doi.org/10.1088/0967-3334/33/11/1785 |
Related Public URLs | http://iopscience.iop.org/0967-3334 |
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