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Active play and screen time in US children aged 4 to 11 years in relation to sociodemographic and weight status characteristics: a nationally representative cross-sectional analysis

Overview of attention for article published in BMC Public Health, October 2008
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
364 Mendeley
Title
Active play and screen time in US children aged 4 to 11 years in relation to sociodemographic and weight status characteristics: a nationally representative cross-sectional analysis
Published in
BMC Public Health, October 2008
DOI 10.1186/1471-2458-8-366
Pubmed ID
Authors

Sarah E Anderson, Christina D Economos, Aviva Must

Abstract

The high prevalence of childhood obesity underscores the importance of monitoring population trends in children's activity and screen time, and describing associations with child age, gender, race/ethnicity, and weight status. Our objective was to estimate the proportion of young children in the US who have low levels of active play or high levels of screen time, or who have both these behaviors, and to describe associations with age, gender, race/ethnicity, and weight status. We analyzed data collected during the National Health and Nutrition Examination Surveys 2001-2004, a US nationally representative cross-sectional study. We studied 2964 children aged 4.00 to 11.99 years. Our main outcomes were reported weekly times that the child played or exercised hard enough to sweat or breathe hard (active play), daily hours the child watched television/videos, used computers, or played computer games (screen time), and the combination of low active play and high screen time. Low active play was defined as active play 6 times or less per week. High screen time was defined as more than 2 hours per day. We accounted for the complex survey design in analyses and report proportions and 95% confidence intervals. We used Wald Chi-square to test for differences between proportions. To identify factors associated with low active play and high screen time, we used multivariate logistic regression. Of US children aged 4 to 11 years, 37.3% (95% confidence interval, 34.1% to 40.4%) had low levels of active play, 65.0% (95% CI, 61.4% to 68.5%) had high screen time, and 26.3% (95% CI, 23.8% to 28.9%) had both these behaviors. Characteristics associated with a higher probability of simultaneously having low active play and high screen time were older age, female gender, non-Hispanic black race/ethnicity, and having a BMI-for-age > or =95th percentile of the CDC growth reference. Many young children in the US are reported to have physical activity and screen time behaviors that are inconsistent with recommendations for healthy pediatric development. Children who are overweight, approaching adolescence, girls, and non-Hispanic blacks may benefit most from public health policies and programs aimed at these behaviors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
United Kingdom 3 <1%
Australia 2 <1%
Spain 2 <1%
Canada 2 <1%
Indonesia 1 <1%
Brazil 1 <1%
Colombia 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 344 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 64 18%
Student > Bachelor 54 15%
Student > Ph. D. Student 47 13%
Researcher 39 11%
Student > Doctoral Student 27 7%
Other 60 16%
Unknown 73 20%
Readers by discipline Count As %
Medicine and Dentistry 67 18%
Social Sciences 53 15%
Sports and Recreations 34 9%
Psychology 30 8%
Nursing and Health Professions 26 7%
Other 60 16%
Unknown 94 26%
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 16 December 2013.
All research outputs
#8,463,388
of 25,837,817 outputs
Outputs from BMC Public Health
#9,362
of 17,786 outputs
Outputs of similar age
#37,308
of 104,256 outputs
Outputs of similar age from BMC Public Health
#22
of 44 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 17,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 46th percentile – i.e., 46% 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 104,256 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 65% of its contemporaries.
We're also able to compare this research output to 44 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 50% of its contemporaries.