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Changes in blood biochemical markers before, during, and after a 2-day ultramarathon

Overview of attention for article published in Open Access Journal of Sports Medicine, April 2016
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Title
Changes in blood biochemical markers before, during, and after a 2-day ultramarathon
Published in
Open Access Journal of Sports Medicine, April 2016
DOI 10.2147/oajsm.s97468
Pubmed ID
Authors

Kazuyuki Arakawa, Akihiro Hosono, Kiyoshi Shibata, Reza Ghadimi, Mizuho Fuku, Chiho Goto, Nahomi Imaeda, Yuko Tokudome, Hideki Hoshino, Mitsuhiro Marumoto, Masaaki Kobayashi, Sadao Suzuki, Shinkan Tokudome

Abstract

We studied changes in blood markers of 18 nonprofessional, middle-aged runners of a 2-day, 130 km ultramarathon. Blood was sampled at baseline, after the goals on the first and second day, and at three time points (1, 3, and 5/6 days) after the race. Blood indices showed three patterns. First pattern indices showed essentially no changes after the two goals and after the race, including red blood cell indices, gamma-glutamyl transferase, and tumor necrosis factor-α. Second pattern markers, including the majority of indices, were elevated during the race (and also after the race for some parameters) and then returned to baseline afterward, including hemolysis/red blood cell destruction markers (indirect bilirubin) and an iron reservoir index (ferritin), muscle damage parameters (uric acid, creatine kinase, lactate dehydrogenase, and aspartate aminotransferase), renal function markers (creatinine and blood urea nitrogen), liver injury index (alanine aminotransferase), lipid metabolism indices (free fatty acid), reactive oxygen species and inflammation parameters (white blood cells, interleukin-6, and C-reactive protein), and energy production and catecholamines (adrenaline, noradrenaline, and dopamine). Third pattern index of a lipid metabolism marker - triglyceride - decreased during the race periods and started returning to baseline from then onward. Some hormonal markers such as insulin, leptin, and adiponectin showed unique patterns. These findings appeared informative for nonprofessional athletes to know about an optimal physical activity level, duration, and total exercise for elevating physical performance and monitoring physical/mental conditioning as well as for prevention of overtraining and physical injuries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 13%
Student > Ph. D. Student 14 11%
Student > Master 14 11%
Researcher 12 9%
Student > Doctoral Student 9 7%
Other 23 18%
Unknown 40 31%
Readers by discipline Count As %
Sports and Recreations 26 20%
Medicine and Dentistry 22 17%
Biochemistry, Genetics and Molecular Biology 13 10%
Agricultural and Biological Sciences 5 4%
Psychology 4 3%
Other 14 11%
Unknown 44 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 April 2016.
All research outputs
#15,740,505
of 25,374,917 outputs
Outputs from Open Access Journal of Sports Medicine
#162
of 260 outputs
Outputs of similar age
#166,920
of 314,723 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#4
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 36th percentile – i.e., 36% 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 314,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.