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levels and sociodemographic correlates of accelerometer-based physical activity in Irish children: a cross-sectional study

Overview of attention for article published in Journal of Epidemiology and Community Health (1978), January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
5 tweeters

Citations

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29 Dimensions

Readers on

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50 Mendeley
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Title
levels and sociodemographic correlates of accelerometer-based physical activity in Irish children: a cross-sectional study
Published in
Journal of Epidemiology and Community Health (1978), January 2017
DOI 10.1136/jech-2016-207691
Pubmed ID
Authors

Xia Li, Patricia M Kearney, Eimear Keane, Janas M Harrington, Anthony P Fitzgerald

Abstract

The aim of this study was to explore levels and sociodemographic correlates of physical activity (PA) over 1 week using accelerometer data. Accelerometer data was collected over 1 week from 1075 8-11-year-old children in the cross-sectional Cork Children's Lifestyle Study. Threshold values were used to categorise activity intensity as sedentary, light, moderate or vigorous. Questionnaires collected data on demographic factors. Smoothed curves were used to display minute by minute variations. Binomial regression was used to identify factors correlated with the probability of meeting WHO 60 min moderate to vigorous PA guidelines. Overall, 830 children (mean (SD) age: 9.9(0.7) years, 56.3% boys) were included. From the binomial multiple regression analysis, boys were found more likely to meet guidelines (probability ratio 1.17, 95% CI 1.06 to 1.28) than girls. Older children were less likely to meet guidelines than younger children (probability ratio 0.91, CI 0.87 to 0.95). Normal weight children were more likely than overweight and obese children to meet guidelines (probability ratio 1.25, CI 1.16 to 1.34). Children in urban areas were more likely to meet guidelines than those in rural areas (probability ratio 1.19, CI 1.07 to 1.33). Longer daylight length days were associated with greater probability of meeting guidelines compared to shorter daylight length days. PA levels differed by individual factors including age, gender and weight status as well as by environmental factors including residence and daylight length. Less than one-quarter of children (26.8% boys, 16.2% girls) meet guidelines. Effective intervention policies are urgently needed to increase PA.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 18%
Student > Master 8 16%
Researcher 5 10%
Student > Ph. D. Student 5 10%
Professor 2 4%
Other 6 12%
Unknown 15 30%
Readers by discipline Count As %
Sports and Recreations 11 22%
Medicine and Dentistry 5 10%
Social Sciences 3 6%
Nursing and Health Professions 3 6%
Psychology 2 4%
Other 8 16%
Unknown 18 36%

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 10 February 2017.
All research outputs
#3,732,863
of 9,045,973 outputs
Outputs from Journal of Epidemiology and Community Health (1978)
#2,170
of 2,847 outputs
Outputs of similar age
#119,003
of 311,332 outputs
Outputs of similar age from Journal of Epidemiology and Community Health (1978)
#31
of 36 outputs
Altmetric has tracked 9,045,973 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 2,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 23rd percentile – i.e., 23% 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 311,332 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 61% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.