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Association between objectively evaluated physical activity and sedentary behavior and screen time in primary school children

Overview of attention for article published in BMC Research Notes, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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1 policy source
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1 X user
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1 Facebook page

Citations

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20 Dimensions

Readers on

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91 Mendeley
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Title
Association between objectively evaluated physical activity and sedentary behavior and screen time in primary school children
Published in
BMC Research Notes, May 2017
DOI 10.1186/s13104-017-2495-y
Pubmed ID
Authors

Chiaki Tanaka, Maki Tanaka, Masayuki Okuda, Shigeru Inoue, Tomoko Aoyama, Shigeho Tanaka

Abstract

Even when meeting guidelines for physical activity (PA), considerable sedentary time may be included. This study in primary school children investigated the relationships between objectively evaluated sedentary and PA times at different intensities using triaxial accelerometry that discriminated between ambulatory and non-ambulatory PA. The relationships between subjectively evaluated screen time (i.e. time spent viewing television and videos, playing electronic games, and using personal computers) and objectively evaluated sedentary and PA times were examined. Objectively evaluated sedentary and PA times were assessed for 7 consecutive days using a triaxial accelerometer (Active style Pro: HJA-350IT) in 426 first to sixth grade girls and boys. Metabolic equivalents [METs] were used to categorize the minutes of sedentary time (≤1.5 METs), light PA (LPA, 1.6-2.9 METs), moderate-to-vigorous PA (MVPA,  ≥3.0 METs) and vigorous PA (VPA,  ≥6.0 METs). The physical activity level (PAL) was calculated using the mean MET value. Subjectively evaluated screen time behaviors were self-reported by participants and parents acting together. The associations between PA and sedentary and screen time variables were examined using partial correlation analyses. After adjustment for age, body weight and wearing time, objectively evaluated sedentary time correlated strongly with non-ambulatory and total LPA and PAL, moderately with ambulatory LPA, non-ambulatory or total MVPA, and weakly with ambulatory MVPA, ambulatory, non-ambulatory or total VPA. Subjectively evaluated screen time was not associated significantly with objectively evaluated sedentary and PA times or PAL. On average, each reduction of 30 min in daily sedentary time was associated with 6 or 23 min more of MVPA or LPA, respectively. These findings show that higher daily sedentary time may be compensated mainly by lower LPA, while the association between sedentary time and MVPA was moderate. Therefore, improving MVPA and reducing sedentary time are important in primary school children.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 20%
Student > Master 13 14%
Student > Ph. D. Student 6 7%
Student > Doctoral Student 6 7%
Lecturer 5 5%
Other 19 21%
Unknown 24 26%
Readers by discipline Count As %
Sports and Recreations 17 19%
Nursing and Health Professions 15 16%
Medicine and Dentistry 10 11%
Social Sciences 5 5%
Computer Science 4 4%
Other 14 15%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 September 2020.
All research outputs
#7,245,580
of 23,613,071 outputs
Outputs from BMC Research Notes
#1,125
of 4,299 outputs
Outputs of similar age
#111,650
of 311,763 outputs
Outputs of similar age from BMC Research Notes
#17
of 55 outputs
Altmetric has tracked 23,613,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% 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 311,763 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.