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Measuring quality of sleep and autonomic nervous function in healthy Japanese women

Overview of attention for article published in Neuropsychiatric Disease and Treatment, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 tweeters

Citations

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4 Dimensions

Readers on

mendeley
28 Mendeley
Title
Measuring quality of sleep and autonomic nervous function in healthy Japanese women
Published in
Neuropsychiatric Disease and Treatment, January 2014
DOI 10.2147/ndt.s56827
Pubmed ID
Authors

Tetsuya Tanioka, Miki Sato, Yuko Yasuhara, Yukie Iwasa, Masafumi Miyake, Toshiyuki Yasui, Masahito Tomotake, Haruo Kobayashi, Rozzano Locsin

Abstract

The purpose of this study was to determine the relationship between quality of sleep and autonomic nervous functioning in healthy adult Japanese women using three measures, namely, the Pittsburgh Sleep Quality Index (PSQI) for subjective assessment of sleep quality, actigraphy for objective assessment of sleep, and heart rate variability using high frequency and low frequency domains. Participants were 31 healthy women in their 20s to 40s who met the selection criteria, including having normal monthly menstrual periods. Participants were categorized as good or poor sleepers according to their PSQI score. Median correlation coefficients of activity count and high frequency were -0.62 (range -0.43 to -0.84) for good sleepers and -0.45 (range 0.003 to -0.64) for poor sleepers. Good sleepers showed a significantly higher correlation of activity count and high frequency (Z=-2.11, P<0.05). Median correlation coefficients of activity count and low frequency/high frequency were 0.54 (range 0.29-0.73) for good sleepers and 0.41 (range 0.11-0.63) for poor sleepers. The PSQI, actigraphy data, and heart rate variability results showed positive correlations between sleep time as measured by PSQI and duration of inactivity as measured by actigraphy (r=0.446, P<0.05) and sleep time as measured by actigraphy (r=0.377, P<0.05), and a negative correlation between sleep time as measured by PSQI and the correlation coefficients of activity count and high frequency (r=-0.460, P<0.01). These results support the finding that sleep-wake rhythms can be monitored efficiently with actigraphy, providing accurate data that can support the diagnosis of sleeping disorders. Furthermore, actigraphy data were associated with heart rate variability and PSQI findings, but only in subjects who were poor sleepers. Actigraphy is an accurate, efficient, rapid, and inexpensive test for determining objective and subjective sleeping problems, and can also be used in clinical tests for sleep assessment.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 6 21%
Researcher 4 14%
Student > Postgraduate 3 11%
Student > Ph. D. Student 2 7%
Professor 2 7%
Other 6 21%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Neuroscience 2 7%
Nursing and Health Professions 2 7%
Sports and Recreations 2 7%
Computer Science 1 4%
Other 2 7%
Unknown 6 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 February 2014.
All research outputs
#8,185,978
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,093
of 2,442 outputs
Outputs of similar age
#107,194
of 248,634 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#42
of 96 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 51% 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 248,634 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% 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 is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.