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Screen Time and Health Indicators Among Children and Youth: Current Evidence, Limitations and Future Directions

Overview of attention for article published in Applied Health Economics and Health Policy, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 839)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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129 Dimensions

Readers on

mendeley
396 Mendeley
Title
Screen Time and Health Indicators Among Children and Youth: Current Evidence, Limitations and Future Directions
Published in
Applied Health Economics and Health Policy, October 2016
DOI 10.1007/s40258-016-0289-3
Pubmed ID
Authors

Travis J. Saunders, Jeff K. Vallance

Abstract

Despite accumulating evidence linking screen-based sedentary behaviours (i.e. screen time) with poorer health outcomes among children and youth <18 years of age, the prevalence of these behaviours continues to increase, with roughly half of children and youth exceeding the public health screen time recommendation of 2 h per day or less. The purpose of this article is to provide an overview of key research initiatives aimed at understanding the associations between screen time and health indicators including physical health, quality of life and psychosocial health. Available evidence suggests that screen time is deleteriously associated with numerous health indicators in child and youth populations, including adiposity, aerobic fitness, quality of life, self-esteem, pro-social behaviour, academic achievement, depression and anxiety. However, few longitudinal or intervention studies have been conducted, with most of these studies focusing on physical health indicators. While most studies have used self-reported assessments of screen time, the availability of more objective assessment methods presents important opportunities (e.g. more accurate and precise assessment of sedentary time and screen time) and challenges (e.g. privacy and participant burden). Novel statistical approaches such as isotemporal substitution modelling and compositional analysis, as well as studies using longitudinal and experimental methodologies, are needed to better understand the health impact of excessive screen time, and to develop strategies to minimise or reverse the negative impacts of these behaviours. The evidence to date suggests a clear need for policy aimed at minimising the hazardous health consequences associated with screen time among children and youth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 395 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 16%
Student > Bachelor 56 14%
Student > Ph. D. Student 39 10%
Researcher 26 7%
Student > Doctoral Student 17 4%
Other 56 14%
Unknown 140 35%
Readers by discipline Count As %
Medicine and Dentistry 52 13%
Nursing and Health Professions 38 10%
Psychology 31 8%
Sports and Recreations 30 8%
Social Sciences 22 6%
Other 54 14%
Unknown 169 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 11 October 2023.
All research outputs
#1,131,582
of 25,287,709 outputs
Outputs from Applied Health Economics and Health Policy
#29
of 839 outputs
Outputs of similar age
#20,575
of 319,988 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#1
of 20 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 839 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done particularly well, scoring higher than 96% 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 319,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.