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Associations between Macronutrient Intake and Obstructive Sleep Apnoea as Well as Self-Reported Sleep Symptoms: Results from a Cohort of Community Dwelling Australian Men

Overview of attention for article published in Nutrients, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 2,220)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
65 news outlets
blogs
8 blogs
twitter
19 tweeters
facebook
6 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
14 Mendeley
Title
Associations between Macronutrient Intake and Obstructive Sleep Apnoea as Well as Self-Reported Sleep Symptoms: Results from a Cohort of Community Dwelling Australian Men
Published in
Nutrients, April 2016
DOI 10.3390/nu8040207
Pubmed ID
Authors

Yingting Cao, Cao, Yingting, Wittert, Gary, Taylor, Anne W, Adams, Robert, Shi, Zumin, Gary Wittert, Anne W. Taylor, Robert Adams, Zumin Shi, Anne Taylor

Abstract

macronutrient intake has been found to affect sleep parameters including obstructive sleep apnoea (OSA) in experimental studies, but there is uncertainty at the population level in adults. cross-sectional analysis was conducted of participants in the Men Androgen Inflammation Lifestyle Environment and Stress cohort (n = 784, age 35-80 years). Dietary intake was measured by a validated food frequency questionnaire. Self-reported poor sleep quality and daytime sleepiness were measured by questionnaires. Overnight in-home polysomnography (PSG) was conducted among participants with without previously diagnosed OSA. after adjusting for demographic, lifestyle factors, and chronic diseases, the highest quartile of fat intake was positively associated with excessive daytime sleepiness (relative risk ratio (RRR) = 1.78, 95% CI 1.10, 2.89) and apnoea-hypopnoea index (AHI) ≥20, (RRR = 2.98, 95% CI 1.20-7.38). Body mass index mediated the association between fat intake and AHI (30%), but not daytime sleepiness. There were no associations between other intake of macronutrient and sleep outcomes. high fat is associated with daytime sleepiness and AHI. Sleep outcomes are generally not assessed in studies investigating the effects of varying macronutrient diets on weight loss. The current result highlights the potential public health significance of doing so.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 29%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Student > Doctoral Student 2 14%
Professor 1 7%
Other 2 14%
Readers by discipline Count As %
Medicine and Dentistry 7 50%
Nursing and Health Professions 3 21%
Agricultural and Biological Sciences 1 7%
Social Sciences 1 7%
Neuroscience 1 7%
Other 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 553. 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 06 October 2016.
All research outputs
#5,324
of 7,577,858 outputs
Outputs from Nutrients
#6
of 2,220 outputs
Outputs of similar age
#600
of 272,256 outputs
Outputs of similar age from Nutrients
#2
of 160 outputs
Altmetric has tracked 7,577,858 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 2,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. 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 272,256 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 160 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 98% of its contemporaries.