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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Living at a Geographically Higher Elevation Is Associated with Lower Risk of Metabolic Syndrome: Prospective Analysis of the SUN Cohort
|
|---|---|
| Published in |
Frontiers in Physiology, January 2017
|
| DOI | 10.3389/fphys.2016.00658 |
| Pubmed ID | |
| Authors |
Amaya Lopez-Pascual, Maira Bes-Rastrollo, Carmen Sayón-Orea, Aurora Perez-Cornago, Jesús Díaz-Gutiérrez, Juan J. Pons, Miguel A. Martínez-González, Pedro González-Muniesa, J. Alfredo Martínez |
| Abstract |
Living in a geographically higher altitude affects oxygen availability. The possible connection between environmental factors and the development of metabolic syndrome (MetS) feature is not fully understood, being the available epidemiological evidence still very limited. The aim of the present study was to evaluate the longitudinal association between altitude and incidence of MetS and each of its components in a prospective Spanish cohort, The Seguimiento Universidad de Navarra (SUN) project. Our study included 6860 highly educated subjects (university graduates) free from any MetS criteria at baseline. The altitude of residence was imputed with the postal code of each individual subject residence according to the data of the Spanish National Cartographic Institute and participants were categorized into tertiles. MetS was defined according to the harmonized definition. Cox proportional hazards models were used to assess the association between the altitude of residence and the risk of MetS during follow-up. After a median follow-up period of 10 years, 462 incident cases of MetS were identified. When adjusting for potential confounders, subjects in the highest category of altitude (>456 m) exhibited a significantly lower risk of developing MetS compared to those in the lowest tertile (<122 m) of altitude of residence [Model 2: Hazard ratio = 0.75 (95% Confidence interval: 0.58-0.97); p for trend = 0.029]. Living at geographically higher altitude was associated with a lower risk of developing MetS in the SUN project. Our findings suggest that geographical elevation may be an important factor linked to metabolic diseases. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 20% |
| Switzerland | 2 | 8% |
| Sweden | 1 | 4% |
| Australia | 1 | 4% |
| Spain | 1 | 4% |
| France | 1 | 4% |
| Canada | 1 | 4% |
| Croatia | 1 | 4% |
| Mexico | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 44% |
| Scientists | 10 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 77 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 21% |
| Researcher | 10 | 13% |
| Student > Master | 8 | 10% |
| Student > Ph. D. Student | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 24% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Nursing and Health Professions | 7 | 9% |
| Agricultural and Biological Sciences | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 26 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 263. 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 31 July 2023.
All research outputs
#140,094
of 25,626,416 outputs
Outputs from Frontiers in Physiology
#76
of 15,709 outputs
Outputs of similar age
#3,055
of 423,579 outputs
Outputs of similar age from Frontiers in Physiology
#3
of 238 outputs
Altmetric has tracked 25,626,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,709 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 99% 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 423,579 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.