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dc.contributor.authorStraker, Leon
dc.contributor.authorCampbell, Amity
dc.contributor.authorMathiassen, S.
dc.contributor.authorAbbott, R.
dc.contributor.authorParry, Sharon
dc.contributor.authorDavey, Paul
dc.date.accessioned2017-01-30T12:02:39Z
dc.date.available2017-01-30T12:02:39Z
dc.date.created2014-06-16T20:00:17Z
dc.date.issued2014
dc.identifier.citationStraker, L. and Campbell, A. and Mathiassen, S. and Abbott, R. and Parry, S. and Davey, P. 2014. Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data. Journal of Physical Activity and Health. 11 (3): pp. 614-625.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/17556
dc.identifier.doi10.1123/jpah.2012-0105
dc.description.abstract

Background: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs. Methods: EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8). Results: Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity. Conclusions: EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research.

dc.publisherHuman Kinetics, Inc
dc.subjectphysical activity assessment
dc.subjectAccelerometry
dc.subjectpublic health
dc.titleCapturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data
dc.typeJournal Article
dcterms.source.volume11
dcterms.source.startPage614
dcterms.source.endPage625
dcterms.source.issn1543-3080
dcterms.source.titleJournal of Physical Activity and Health
curtin.department
curtin.accessStatusOpen access


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