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Where does the time go? Patterns of physical activity in adolescent youth

Overview of attention for article published in Journal of Science and Medicine in Sport, February 2016
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Where does the time go? Patterns of physical activity in adolescent youth
Published in
Journal of Science and Medicine in Sport, February 2016
DOI 10.1016/j.jsams.2016.01.008
Pubmed ID
Authors

Sarahjane Belton, Wesley O’Brien, Johann Issartel, Bronagh McGrane, Danielle Powell

Abstract

To explore daily patterns of physical activity in early adolescent youth, and identify whether patterns differed across varying activity levels. Cross-sectional observational study. Adolescent youth (n=715, 11.8-14.4 years) were asked to wear an Actigraph accelerometer for a 9-day period. Average daily and hourly minutes spent in moderate-vigorous physical activity (MVPA) were calculated for each participant. Participants were grouped into sex-specific quartiles (Q) based on average daily MVPA accumulation (Q4 most active, Q1 least active). Principal components analysis was used to identify, from hourly MVPA data, distinct time blocks for Weekday and Weekend days. Mixed between-within ANOVA's were conducted separately by gender to assess the impact of Quartile grouping on minutes of MVPA across the distinct time blocks. Males accumulated significantly more minutes of MVPA daily than females (55.3±21.6min, versus 47.4±18.1min). Principal Components Analysis revealed three distinct time components for MVPA during weekdays, and weekend days. The total difference between Q4 and Q1 was greatest 'Weekend Afternoons' for Males (22min), and 'Weekend Midday' for females (12.8min); with Q4 accumulating significantly more MVPA in these time periods than the other three Quartiles (p<0.05). This study points to the weekend midday and afternoon periods as particular time blocks to target for intervening with inactive youth. Future research should examine the reasons why some youth choose to be active during these particular periods while others do not, with a view to developing appropriate strategies for intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Bachelor 13 15%
Student > Master 9 10%
Researcher 9 10%
Unspecified 5 6%
Other 13 15%
Unknown 17 20%
Readers by discipline Count As %
Sports and Recreations 27 31%
Social Sciences 7 8%
Nursing and Health Professions 6 7%
Unspecified 5 6%
Medicine and Dentistry 4 5%
Other 15 17%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 November 2016.
All research outputs
#4,823,623
of 25,371,288 outputs
Outputs from Journal of Science and Medicine in Sport
#1,081
of 2,874 outputs
Outputs of similar age
#78,719
of 409,526 outputs
Outputs of similar age from Journal of Science and Medicine in Sport
#21
of 47 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 62% 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 409,526 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 80% of its contemporaries.
We're also able to compare this research output to 47 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 55% of its contemporaries.