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Changes in Sleep Duration, Quality, and Medication Use Are Prospectively Associated With Health and Well-being: Analysis of the UK Household Longitudinal Study

Overview of attention for article published in Sleep, January 2017
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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 (#18 of 4,593)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
47 news outlets
blogs
7 blogs
policy
1 policy source
twitter
4110 X users
facebook
5 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
84 Mendeley
Title
Changes in Sleep Duration, Quality, and Medication Use Are Prospectively Associated With Health and Well-being: Analysis of the UK Household Longitudinal Study
Published in
Sleep, January 2017
DOI 10.1093/sleep/zsw079
Pubmed ID
Authors

Nicole K. Y. Tang, Mark Fiecas, Esther F. Afolalu, Dieter Wolke

Abstract

Sleep is a plausible target for public health promotion. We examined the association of changes in sleep with subsequent health and well-being in the general population. We analyzed data from the UK Household Longitudinal Survey, involving 30594 people (aged > 16) who provided data on sleep and health and well-being at both Wave 1 (2009-2011) and Wave 4 (2012-2014) assessments. Predicting variables were changes in sleep quantity, sleep quality, and sleep medication use over the 4-year period. Outcome variables were the General Health Questionnaire (GHQ-12) and the 12-Item Short-Form Health Survey (SF-12) mental (MCS) and physical (PCS) component scores at Wave 4. Linear regression on each outcome was fully adjusted for potential confounders and baseline values of the relevant predicting and outcome variables. Better outcomes were associated with an increase in sleep duration (GHQ: β = 1.031 [95% confidence interval {CI}: -1.328, -0.734]; MCS: 1.531 [1.006, 2.055]; PCS: -0.071 [-0.419, 0.56]), sleep quality (GHQ: β = -2.031 [95% CI: -2.218, -1.844]; MCS: 3.027 [2.692, 3.361]; PCS: 0.924 [0.604, 1.245]), and a reduction in sleep medication use (GHQ: β = -1.929 [95% CI: -2.400, -1.459]; MCS: 3.106 [2.279, 3.933]; PCS: 2.633 [1.860, 3.406]). Poorer outcomes were on the other hand associated with a reduction in sleep duration, a decrease in sleep quality, and an increase in sleep medication use. Changes in sleep quality yielded the largest effects on the health and well-being outcomes. Changes in sleep were temporally associated with subsequent health and well-being. Initiatives that aim to protect a critical amount of sleep, promote sleep quality, and reduce sleep medication use may have public health values.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4,110 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 15%
Student > Master 11 13%
Student > Bachelor 9 11%
Student > Ph. D. Student 7 8%
Professor > Associate Professor 5 6%
Other 11 13%
Unknown 28 33%
Readers by discipline Count As %
Psychology 13 15%
Medicine and Dentistry 10 12%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Neuroscience 3 4%
Other 18 21%
Unknown 34 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1044. 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 09 September 2023.
All research outputs
#15,325
of 25,734,859 outputs
Outputs from Sleep
#18
of 4,593 outputs
Outputs of similar age
#262
of 423,702 outputs
Outputs of similar age from Sleep
#1
of 100 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.9. This one has done particularly well, scoring higher than 99% 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 423,702 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 99% of its contemporaries.
We're also able to compare this research output to 100 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.