+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Novel technology to help understand the context of physical activity and sedentary behaviour.|
|Authors: ||Loveday, Adam|
Sherar, Lauren B.
Sanders, James P.
Sanderson, Paul W.
Esliger, Dale W.
|Issue Date: ||2016|
|Publisher: ||IOP / © Institute of Physics and Engineering in Medicine|
|Citation: ||LOVEDAY, A. ... et al, 2016. Novel technology to help understand the context of physical activity and sedentary behaviour. Physiological Measurement, 37 (10), pp. 1834 - 1851|
|Abstract: ||When used in large, national surveillance programmes, objective measurement tools provide prevalence estimates of low physical activity guideline compliance and high amounts of sedentary time. There are undoubtedly a plethora of reasons for this but one possible contributing factor is the current lack of behavioural context offered by accelerometers and posture sensors. Context includes information such as where the behaviour occurs, the type of activity being performed and is vital in allowing greater refinement of intervention strategies. Novel technologies are emerging with the potential to provide this information. Example data from three ongoing studies is used to illustrate the utility of these technologies. Study one assesses the concurrent validity of electrical energy monitoring and wearable cameras as measures of television viewing. This study found that on average the television is switched on for 202 min d(-1) but is visible in just 90 min of wearable camera images with a further 52 min where the participant is in their living room but the television is not visible in the image. Study two utilises indoor location monitoring to assess where older adult care home residents accumulate their sedentary time. This study found that residents were highly sedentary (sitting for an average of 720 min d(-1)) and spent the majority of their time in their own rooms with more time spent in communal areas in the morning than in the afternoon. Lastly, study three discusses the use of proximity sensors to quantify exposure to a height adjustable desk. These studies are example applications of this technology, with many other technologies available and applications possible. The adoption of these technologies will provide researchers with a more complete understanding of the behaviour than has previously been available.|
|Description: ||This is an author-created, un-copyedited version of an article published in Physiological Measurement. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/37/10/1834.|
|Sponsor: ||The work in this paper is part of the research portfolio supported by the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care—East Midlands (NIHR CLAHRC for EM) and by the National Institute for Health Research (NIHR) Diet, Lifestyle & Physical Activity Biomedical Research Unit based at University Hospitals of Leicester and Loughborough University. This work was supported by the UK Research Councils' Lifelong Health and Wellbeing Initiative in partnership with the Department of Health (grant number MR/K025090/1).|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1088/0967-3334/37/10/1834|
|Appears in Collections:||Published Articles (Sport, Exercise and Health Sciences)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.