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Evaluation of the wrist-worn ActiGraph wGT3x-BT for estimating activity energy expenditure in preschool children

Overview of attention for article published in European Journal of Clinical Nutrition, July 2017
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Title
Evaluation of the wrist-worn ActiGraph wGT3x-BT for estimating activity energy expenditure in preschool children
Published in
European Journal of Clinical Nutrition, July 2017
DOI 10.1038/ejcn.2017.114
Pubmed ID
Authors

C Delisle Nyström, J Pomeroy, P Henriksson, E Forsum, F B Ortega, R Maddison, J H Migueles, M Löf

Abstract

Easy-to-use and accurate methods to assess free-living activity energy expenditure (AEE) in preschool children are required. The aims of this study in healthy preschool children were to (a) evaluate the ability of the wrist-worn ActiGraph wGT3x-BT to predict free-living AEE and (b) assess wear compliance using a 7-day, 24-h protocol. Participants were 40 Swedish children (5.5±0.2 years) in the Mobile-based intervention intended to stop obesity in preschoolers (MINISTOP) obesity prevention trial. Total energy expenditure (TEE) was assessed using the doubly labeled water method during 14 days. AEE was calculated as (TEEx0.9) minus predicted basal metabolic rate. The ActiGraph accelerometer was worn on the wrist for 7 days and outputs used were mean of the daily and awake filtered vector magnitude (mean VM total and mean VM waking). The ActiGraph was worn for 7 (n=34, 85%), 6 (n=4, 10%), 5 (n=1, 2.5%) and 4 (n=1, 2.5%) days (a valid day was ⩾600 awake minutes). Alone, mean VM total and mean VM waking were able to explain 14% (P=0.009) and 24% (P=0.001) of the variation in AEE, respectively. By incorporating fat and fat-free mass in the models 58% (mean VM total) and 62% (mean VM waking) in the variation of AEE was explained (P<0.001). The wrist-worn ActiGraph wGT3x-BT in combination with body composition variables explained up to the 62% of the variation in AEE. Given the high wear compliance, the wrist-worn ActiGraph has the potential to provide useful information in studies where physical activity in preschool children is measured.European Journal of Clinical Nutrition advance online publication, 26 July 2017; doi:10.1038/ejcn.2017.114.

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The data shown below were collected from the profiles of 3 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Ph. D. Student 14 14%
Student > Master 14 14%
Student > Doctoral Student 9 9%
Student > Bachelor 4 4%
Other 13 13%
Unknown 27 28%
Readers by discipline Count As %
Sports and Recreations 17 18%
Nursing and Health Professions 10 10%
Medicine and Dentistry 10 10%
Social Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 11 11%
Unknown 34 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2017.
All research outputs
#13,464,273
of 22,992,311 outputs
Outputs from European Journal of Clinical Nutrition
#2,826
of 3,871 outputs
Outputs of similar age
#159,350
of 317,089 outputs
Outputs of similar age from European Journal of Clinical Nutrition
#18
of 33 outputs
Altmetric has tracked 22,992,311 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,871 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 26th percentile – i.e., 26% 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 317,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.