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Measuring physical activity in older adults: calibrating cut-points for the MotionWatch 8©

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2015
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Title
Measuring physical activity in older adults: calibrating cut-points for the MotionWatch 8©
Published in
Frontiers in Aging Neuroscience, August 2015
DOI 10.3389/fnagi.2015.00165
Pubmed ID
Authors

Glenn J. Landry, Ryan S. Falck, Michael W. Beets, Teresa Liu-Ambrose

Abstract

Given the world's aging population, the staggering economic impact of dementia, the lack of effective treatments, and the fact a cure for dementia is likely many years away - there is an urgent need to develop interventions to prevent or at least delay dementia's progression. Thus, lifestyle approaches to promote healthy aging are an important line of scientific inquiry. Good sleep quality and physical activity (PA) are pillars of healthy aging, and as such, are an increasing focus for intervention studies aimed at promoting health and cognitive function in older adults. However, PA and sleep quality are difficult constructs to evaluate empirically. Wrist-worn actigraphy (WWA) is currently accepted as a valid objective measure of sleep quality. The MotionWatch 8(©) (MW8) is the latest WWA, replacing the discontinued Actiwatch 4 and Actiwatch 7. In the current study, concurrent measurement of WWA and indirect calorimetry was performed during 10 different activities of daily living for 23 healthy older adults (aged 57-80 years) to determine cut-points for sedentary and moderate-vigorous PA - using receiver operating characteristic curves - with the cut-point for light activity being the boundaries between sedentary and moderate to vigorous PA. In addition, simultaneous multi-unit reliability was determined for the MW8 using inter-class correlations. The current study is the first to validate MW8 activity count cut-points - for sedentary, light, and moderate to vigorous PA - specifically for use with healthy older adults. These cut-points provide important context for better interpretation of MW8 activity counts, and a greater understanding of what these counts mean in terms of PA. Hence, our results validate another level of analysis for researchers using the MW8 in studies aiming to examine PA and sleep quality concurrently in older adults.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
Denmark 1 <1%
Unknown 151 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 12%
Researcher 18 12%
Student > Master 18 12%
Student > Doctoral Student 13 8%
Unspecified 8 5%
Other 42 27%
Unknown 38 25%
Readers by discipline Count As %
Nursing and Health Professions 19 12%
Sports and Recreations 18 12%
Medicine and Dentistry 15 10%
Psychology 13 8%
Engineering 8 5%
Other 34 22%
Unknown 48 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2015.
All research outputs
#17,770,433
of 22,824,164 outputs
Outputs from Frontiers in Aging Neuroscience
#3,795
of 4,776 outputs
Outputs of similar age
#180,629
of 267,539 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#47
of 58 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.