↓ Skip to main content

Screen Hours and Sleep Symptoms

Overview of attention for article published in Family & Community Health, July 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Screen Hours and Sleep Symptoms
Published in
Family & Community Health, July 2017
DOI 10.1097/fch.0000000000000150
Pubmed ID
Authors

O'Dene Lewis, Yewande Odeyemi, Vladimir Joseph, Alem Mehari, Richard F. Gillum

Abstract

Few studies have examined the relationship between television viewing, computer use, and sleep symptoms. We hypothesized that television and computer time was associated with sleep symptoms. Screen hours were the sum of daily TV hours and computer hours. A total of 4342 participants 20 years and older had data on screen hours. After adjusting for confounders, 4 or more screen hours were significantly associated with increased odds of reporting long sleep latency, nighttime awakening, high sleep hours, and snoring (P < .05). These findings suggest that increased screen/TV time is an important risk factor for sleep symptoms.

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Nursing and Health Professions 1 14%
Sports and Recreations 1 14%
Neuroscience 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 13 May 2020.
All research outputs
#4,549,230
of 25,382,440 outputs
Outputs from Family & Community Health
#54
of 637 outputs
Outputs of similar age
#73,424
of 326,855 outputs
Outputs of similar age from Family & Community Health
#2
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 637 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 91% 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 326,855 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 77% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.