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Race predictors and hemodynamic alteration after an ultra-trail marathon race

Overview of attention for article published in Open Access Journal of Sports Medicine, October 2017
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Title
Race predictors and hemodynamic alteration after an ultra-trail marathon race
Published in
Open Access Journal of Sports Medicine, October 2017
DOI 10.2147/oajsm.s142040
Pubmed ID
Authors

Noppon Taksaudom, Natee Tongsiri, Amarit Potikul, Chawakorn Leampriboon, Apichat Tantraworasin, Anong Chaiyasri

Abstract

Unique rough-terrain ultra-trail running races have increased in popularity. Concerns regarding the suitability of the candidates make it difficult for organizers to manage safety regulations. The purpose of this study was to identify possible race predictors and assess hemodynamic change after long endurance races. We studied 228 runners who competed in a 66 km-trail running race. A questionnaire and noninvasive hemodynamic flow assessment including blood pressure, heart rate, stroke volume, stroke volume variation, systemic vascular resistance, cardiac index, and oxygen saturation were used to determine physiologic alterations and to identify finish predictors. One hundred and thirty volunteers completed the questionnaire, 126 participants had a prerace hemodynamic assessment, and 33 of these participants completed a postrace assessment after crossing the finish line. The participants were divided into a finisher group and a nonfinisher group. The average age of all runners was 37 years (range of 24-56 years). Of the 228 runners, 163 (71.5%) were male. There were 189 (82.9%) finishers. Univariable analysis indicated that the finish predictors included male gender, longest distance ever run, faster running records, and lower diastolic pressure. Only a lower diastolic pressure was a significant predictor of race finishing (diastolic blood pressure 74-84 mmHg: adjusted odd ratio 3.81; 95% confidence interval [CI] =1.09-13.27 and diastolic blood pressure <74 mmHg: adjusted odd ratio 7.74; 95% CI =1.57-38.21) using the figure from the multivariable analysis. Among the finisher group, hemodynamic parameters showed statistically significant differences with lower systolic blood pressure (135.9±14.8 mmHg vs 119.7±11.3 mmHg; p<0.001), faster heart rate (72.6±10.7 bpm vs 96.4±10.4 bpm; p<0.001), lower stroke volume (43.2±13.6 mL vs 29.3±10.1 mL; p<0.001), higher stroke volume variation; median (interquartile range) (36% [25%-58%] vs 53% [33%-78%]; p<0.001), and lower oxygen saturation (97.4%±1.0% vs 96.4%±1.0%; p<0.001). Systemic vascular resistance and cardian index did not change significantly. The only race finishing predictor from the multivariable analysis was lower diastolic pressure. Finishers seem to have a hypovolemic physiologic response and a lower level of oxygen saturation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 7 14%
Student > Bachelor 5 10%
Lecturer 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 17 35%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Sports and Recreations 8 16%
Nursing and Health Professions 6 12%
Computer Science 2 4%
Unspecified 1 2%
Other 7 14%
Unknown 17 35%
Attention Score in Context

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 11 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from Open Access Journal of Sports Medicine
#240
of 251 outputs
Outputs of similar age
#281,400
of 322,475 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#7
of 7 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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