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Determinants of cortisol awakening responses to naps and nighttime sleep

Overview of attention for article published in Psychoneuroendocrinology, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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76 Mendeley
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Article details
Title
Determinants of cortisol awakening responses to naps and nighttime sleep
Published in
Psychoneuroendocrinology, September 2015
DOI 10.1016/j.psyneuen.2015.09.016
Pubmed ID
Authors
Abstract

The cortisol awakening response (CAR) is a phenomenon describing the sharp increase in basal cortisol levels shortly after waking from sleep. While extensively studied, little is known about the role of sleep architecture contributing to CAR. Furthermore, the potential for CAR after a shorter bout of sleep - a nap - has not been directly investigated. The current studies thus aimed at assessed sleep duration, time of day, and sleep architecture as potential determinants of the cortisol awakening response. Saliva samples were collected during the first hour (0, 30, 45, 60min) following several EEG-monitored laboratory sleep conditions. Those included afternoon naps wherein 17 participants (4 men; ages 18-26) napped for 50min and 24 participants (11 men; ages 18-24) napped for 90min. Furthermore, 20 participants (10 men; ages 18-35) visited the lab twice and in addition to staying overnight, napped 90min in the morning either under placebo conditions or pharmacologically-manipulated sleep conditions (5mg Zolpidem). Cortisol increases were observed in response to each sleep condition except to 50-min afternoon naps. Furthermore, CARs were predicted by Stage 2 sleep when following nighttime sleep (r=.46, p=.04) and by Stage 1 sleep when following placebo morning naps (r=.54, p=.01). The current study established cortisol awakening responses to naps and implicates sleep duration and architecture in the generation of CAR to both napping and nighttime sleep. Assessing CAR in conjunction with the specific type of sleep may thus contribute to our understanding of mechanisms underlying positive and negative health effects of napping.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
Unknown 74 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 8 11%
Researcher 7 9%
Student > Postgraduate 6 8%
Student > Bachelor 5 7%
Other 8 11%
Unknown 31 41%
Readers by discipline
Readers by discipline Count As %
Psychology 13 17%
Medicine and Dentistry 6 8%
Neuroscience 6 8%
Nursing and Health Professions 4 5%
Agricultural and Biological Sciences 3 4%
Other 9 12%
Unknown 35 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 December 2020.
All research outputs
#6,948,123
of 33,779,198 outputs
Outputs from Psychoneuroendocrinology
#1,453
of 4,414 outputs
Outputs of similar age
#68,043
of 309,863 outputs
Outputs of similar age from Psychoneuroendocrinology
#32
of 96 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has gotten more attention than average, scoring higher than 67% 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 309,863 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 78% of its contemporaries.
We're also able to compare this research output to 96 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 65% of its contemporaries.