| Title |
Heritability of siesta and night-time sleep as continuously assessed by a circadian-related integrated measure
|
|---|---|
| Published in |
Scientific Reports, September 2017
|
| DOI | 10.1038/s41598-017-12460-x |
| Pubmed ID | |
| Authors |
J. Lopez-Minguez, J. J. Morosoli, J. A. Madrid, M. Garaulet, J. R. Ordoñana |
| Abstract |
Siesta is a relevant aspect of sleep due to its posited relationship with health or cognitive function. However, unlike night-time sleep, studies about daytime-sleep determinants and characteristics are scarce, and the genetic/environmental structure of siesta is still unknown. Our aim was to explore the relative contribution of genetic and environmental factors to variation in sleep-wake rhythm, measured by a continuous assessment of temperature-activity-position (TAP), which allows for diurnal sleep analysis. The sample comprised 53 pairs of female twins (28 MZ and 25 DZ), selected from the Murcia Twin Register. Mean age of participants was 52 (SD: 6.03). Zygosity was determined by DNA. We conducted separate univariate analyses to study the sources of variance of daytime and night-time sleep parameters. About 60% of the sample reported to take siesta at least once a week. Heritability of taking siesta and daytime sleep duration was 65 and 61% respectively. Other sleep parameters obtained by TAP showed heritability estimates between 36 and 69%, suggesting a relevant impact of genetic factors on sleep rhythm. This is the first study to investigate the relative contribution of genetic factors to siesta. By using TAP, we introduce a novel approach to the study of diurnal sleep characteristics. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 50% |
| Japan | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Scientists | 1 | 10% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Student > Doctoral Student | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Psychology | 6 | 15% |
| Medicine and Dentistry | 5 | 13% |
| Neuroscience | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 07 April 2024.
All research outputs
#720,627
of 25,658,139 outputs
Outputs from Scientific Reports
#7,834
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#14,890
of 329,387 outputs
Outputs of similar age from Scientific Reports
#312
of 5,515 outputs
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