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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heritability and genetic correlations of heart rate variability at rest and during stress in the Oman Family Study
|
|---|---|
| Published in |
Journal of Hypertension, March 2018
|
| DOI | 10.1097/hjh.0000000000001715 |
| Pubmed ID | |
| Authors |
M. Loretto Muñoz, Deepali Jaju, Saroja Voruganti, Sulayma Albarwani, Afshin Aslani, Riad Bayoumi, Said Al-Yahyaee, Anthony G. Comuzzie, Philip J. Millar, Peter Picton, John S. Floras, Ilja Nolte, Mohammed O. Hassan, Harold Snieder |
| Abstract |
Individual differences in heart rate variability (HRV) can be partly attributed to genetic factors that may be more pronounced during stress. Using data from the Oman Family Study (OFS), we aimed to estimate and quantify the relative contribution of genes and environment to the variance of HRV at rest and during stress; calculate the overlap in genetic and environmental influences on HRV at rest and under stress using bivariate analyses of HRV parameters and heart rate (HR). Time and frequency domain HRV variables and average HR were measured from beat-to-beat HR obtained from electrocardiogram recordings at rest and during two stress tests [mental: Word Conflict Test (WCT) and physical: Cold Pressor Test (CPT)] in the OFS - a multigenerational pedigree consisting of five large Arab families with a total of 1326 participants. SOLAR software was used to perform quantitative genetic modelling. Heritability estimates for HRV and HR ranged from 0.11 to 0.31 for rest, 0.09-0.43 for WCT, and 0.07-0.36 for CPT. A large part of the genetic influences during rest and stress conditions were shared with genetic correlations ranging between 0.52 and 0.86 for rest-WCT and 0.60-0.92 for rest-CPT. Nonetheless, genetic rest-stress correlations for most traits were significantly smaller than 1 indicating some stress-specific genetic effects. Genetic factors significantly influence HRV and HR at rest and under stress. Most of the genetic factors that influence HRV at rest also influence HRV during stress tests, although some unique genetic variance emerges during these challenging conditions.This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Professor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 19 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 13% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 20 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 March 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Journal of Hypertension
#2,822
of 5,066 outputs
Outputs of similar age
#225,132
of 348,698 outputs
Outputs of similar age from Journal of Hypertension
#49
of 82 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 348,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.