Introducing novel approaches for examining the variability of individuals' physical activity

Rowlands, Alex V., Gomersall, Sjaan R., Tudor-Locke, Catrine, Bassett, David R., Kang, Minsoo, Fraysse, François, Ainsworth, Barbara and Olds, Tim S. (2015) Introducing novel approaches for examining the variability of individuals' physical activity. Journal of Sports Sciences, 33 5: 457-466. doi:10.1080/02640414.2014.951067

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Author Rowlands, Alex V.
Gomersall, Sjaan R.
Tudor-Locke, Catrine
Bassett, David R.
Kang, Minsoo
Fraysse, François
Ainsworth, Barbara
Olds, Tim S.
Title Introducing novel approaches for examining the variability of individuals' physical activity
Journal name Journal of Sports Sciences   Check publisher's open access policy
ISSN 0264-0414
1466-447X
Publication date 2015
Year available 2014
Sub-type Article (original research)
DOI 10.1080/02640414.2014.951067
Volume 33
Issue 5
Start page 457
End page 466
Total pages 10
Place of publication Abingdon, United Kingdom
Publisher Routledge
Collection year 2015
Language eng
Formatted abstract
Tudor-Locke and colleagues previously assessed steps/day for 1 year. The aim of this study was to use this data set to introduce a novel approach for the investigation of whether individual’s physical activity exhibits periodicity fluctuating round a mean and, if so, the degree of fluctuation and whether the mean changes over time. Twenty-three participants wore a pedometer for 365 days, recorded steps/day and whether the day was a workday. Fourier transform of each participant’s daily steps data showed the physical activity had a periodicity of 7 days in half of the participants, matching the periodicity of the workday pattern. Activity level remained stable in half of the participants, decreased in ten participants and increased in two. In conclusion, the 7-day periodicity of activity in half of the participants and correspondence with the workday pattern suggest a social or environmental influence. The novel analytical approach introduced herein allows the determination of the periodicity of activity, the degree of variability in activity that is tolerated during day-to-day life and whether the activity level is stable. Results from the use of these methodologies in larger data sets may enable a more focused approach to the design of interventions that aim to increase activity.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Human Movement and Nutrition Sciences Publications
 
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Created: Wed, 06 Aug 2014, 11:50:16 EST by Sjaan Gomersall on behalf of School of Human Movement and Nutrition Sciences