| 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 |
Miki Sato, Yuko Yasuhara, Tetsuya Tanioka, Yukie Iwasa, Masafumi Miyake, Toshiyuki Yasui, Masahito Tomotake, Haruo Kobayashi, Rozzano C 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Postgraduate | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 9 | 23% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 36% |
| Neuroscience | 4 | 10% |
| Nursing and Health Professions | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Sports and Recreations | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
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
#15,305,492
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,406
of 3,120 outputs
Outputs of similar age
#177,742
of 320,237 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#24
of 55 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 55 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 54% of its contemporaries.