↓ Skip to main content

Real-Time Observations of Food and Fluid Timing During a 120 km Ultramarathon

Overview of attention for article published in Frontiers in Nutrition, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
19 X users
facebook
2 Facebook pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
81 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Real-Time Observations of Food and Fluid Timing During a 120 km Ultramarathon
Published in
Frontiers in Nutrition, May 2018
DOI 10.3389/fnut.2018.00032
Pubmed ID
Authors

Floris C. Wardenaar, Daan Hoogervorst, Joline J. Versteegen, Nancy van der Burg, Karin J. Lambrechtse, Coen C. W. G. Bongers

Abstract

The aim of the present case study was to use real-time observations to investigate ultramarathon runners' timing of food and fluid intake per 15 km and per hour, and total bodyweight loss due to dehydration. The study included 5 male ultramarathon runners observed during a 120 km race. The research team members followed on a bicycle and continuously observed their dietary intake using action cameras. Hourly carbohydrate intake ranged between 22.1 and 62.6 g/h, and fluid intake varied between 260 and 603 mL/h. These numbers remained relatively stable over the course of the ultra-endurance marathon. Runners consumed food and fluid on average 3-6 times per 15 km. Runners achieved a higher total carbohydrate consumption in the second half of the race (p = 0.043), but no higher fluid intake (p = 0.08). Energy gels contributed the most to the total average carbohydrate intake (40.2 ± 25.7%). Post-race weight was 3.6 ± 2.3% (range 0.3-5.7%) lower than pre-race weight, revealing a non-significant (p = 0.08) but practical relevant difference. In conclusion, runners were able to maintain a constant timing of food and fluid intake during competition but adjusted their food choices in the second half of the race. The large variation in fluid and carbohydrate intake indicate that recommendations need to be individualized to further optimize personal intakes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 12%
Student > Ph. D. Student 6 7%
Researcher 6 7%
Student > Master 6 7%
Professor 5 6%
Other 17 21%
Unknown 31 38%
Readers by discipline Count As %
Sports and Recreations 16 20%
Nursing and Health Professions 10 12%
Biochemistry, Genetics and Molecular Biology 5 6%
Agricultural and Biological Sciences 3 4%
Medicine and Dentistry 3 4%
Other 10 12%
Unknown 34 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 February 2020.
All research outputs
#2,703,714
of 25,081,419 outputs
Outputs from Frontiers in Nutrition
#1,012
of 6,464 outputs
Outputs of similar age
#54,114
of 332,736 outputs
Outputs of similar age from Frontiers in Nutrition
#12
of 34 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 84% 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 332,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.