Evidence map›Paper›PMID 29070954›Full record

ArticleOpen access journal of sports medicine2017

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

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

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Article in Open access journal of sports medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Noppon TaksaudomCardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital.
Natee TongsiriDepartment of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Amarit PotikulCardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital.
Chawakorn LeampriboonCardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital.
Apichat TantraworasinCardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital.
Anong ChaiyasriCardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUnique 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.

methodsWe 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.

resultsThe 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;

conclusionThe 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.

Indexed as

athletic injuriesathletic performancephysical endurancerunningsports

Identifiers

PMID29070954
PMCPMC5640401

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.