2019
DOI: 10.1080/17461391.2019.1694078
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Using accelerometry to classify physical activity intensity in older adults: What is the optimal wear‐site?

Abstract: This document is the author's post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

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Cited by 14 publications
(22 citation statements)
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“…When the study focus is on sedentary behaviour, thigh placement is currently considered the gold standard 90 . In populations with decreased functional capacity, ankle placement is also gaining popularity as it performs well even with slow gait where other placements usually fail 79,91 . In a review by Clark et al ., the authors advocated that there is no ‘one site fits all’ approach to the selection of accelerometer site or analytical technique, and that study design and focus should always inform the most suitable location of attachment, and be driven by the type of activity being characterized 92 …”
Section: Discussionmentioning
confidence: 99%
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“…When the study focus is on sedentary behaviour, thigh placement is currently considered the gold standard 90 . In populations with decreased functional capacity, ankle placement is also gaining popularity as it performs well even with slow gait where other placements usually fail 79,91 . In a review by Clark et al ., the authors advocated that there is no ‘one site fits all’ approach to the selection of accelerometer site or analytical technique, and that study design and focus should always inform the most suitable location of attachment, and be driven by the type of activity being characterized 92 …”
Section: Discussionmentioning
confidence: 99%
“…Time spent in MVPA is a standard measure of PA, which is related to the most current PA guidelines that recommend achieving at least 150 min of MVPA weekly 1 . To calculate the time spent in MVPA, accelerometer output needs to be calibrated, usually against indirect calorimetry, to establish cut points distinguishing between various intensity levels 79 . However, different populations (e.g.…”
Section: Discussionmentioning
confidence: 99%
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“…Ideally, this will be done using wearable accelerometers. Indeed, wearables such as Actigraph (Pensacola, FL, USA) [41], GENEActiv (Cambridge, UK) [42], and Axivity (Newcastle, UK) [43] can be used to capture data related to intensity, frequency, duration, and timing of physical activity (Figure 2). It is expected that detailed drug treatment data including dose, frequency, time of administration, completion rate, dose reductions, side effects, specific treatment responses, and patient-reported outcomes should also be collected.…”
Section: Opportunities For Researchmentioning
confidence: 99%
“…According to the type of gait activities to be studied, data gathered from different sensors might be required to classify them. To classify the first group (by movement speed), an accelerometer may be sufficient since it measures the change in speed with respect to time [ 4 ], even for different populations like children [ 5 ] or older adults [ 6 ]. However, when the speed is rather constant, having relatively low variability, the challenge is even greater for activities of the second group (by surface walked on).…”
Section: Introductionmentioning
confidence: 99%