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Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5–11-Year-Old Children

Overview of attention for article published in Children, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 news outlet
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13 X users

Citations

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9 Dimensions

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64 Mendeley
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Title
Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5–11-Year-Old Children
Published in
Children, September 2018
DOI 10.3390/children5100137
Pubmed ID
Authors

Jessica Chandler, Michael Beets, Pedro Saint-Maurice, Robert Weaver, Dylan Cliff, Clemens Drenowatz, Justin B. Moore, Mei Sui, Keith Brazendale

Abstract

The objective of this paper is to derive a wrist-placed cut-point threshold for distinguishing sedentary behaviors from light-intensity walking using the ActiGraph GT3X+ in children. This study employed a cross-sectional study design, typically used in measurement-related studies. A sample of 167 children, ages 5⁻11 years (mean ± SD: 8.0 ± 1.8 years), performed up to eight seated sedentary activities while wearing accelerometers on both wrists. Activities included: reading books, sorting cards, cutting and pasting, playing board games, eating snacks, playing with tablets, watching TV, and writing. Direct observation verified sedentary behavior from light activity. Receiver operator characteristic (ROC) analyses were used to determine optimal cut-point thresholds. Quantile regression models estimated differences between dominant and non-dominant placement. The optimal cut-point threshold for the non-dominant wrist was 203 counts/5 s with sensitivity, specificity, and area under the curve (AUC) of 71.56, 70.83, and 0.72, respectively. A 10-fold cross-validation revealed an average AUC of 0.70. Statistically significant (p ≤ 0.05) differences in median counts ranging from 7 to 46 counts/5 s were found between dominant and non-dominant placement in five out of eight sedentary activities, with the dominant wrist eliciting higher counts/5 s. Results from this study support the recommendation to place accelerometers on the non-dominant wrist to minimize "noise" during seated sedentary behaviors.

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 10 16%
Researcher 7 11%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 15 23%
Readers by discipline Count As %
Sports and Recreations 12 19%
Medicine and Dentistry 7 11%
Nursing and Health Professions 7 11%
Social Sciences 6 9%
Agricultural and Biological Sciences 5 8%
Other 7 11%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 09 October 2018.
All research outputs
#1,679,823
of 23,103,903 outputs
Outputs from Children
#132
of 2,298 outputs
Outputs of similar age
#37,974
of 341,556 outputs
Outputs of similar age from Children
#3
of 38 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 94% of its peers.
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 341,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.