2018
DOI: 10.3389/fnut.2018.00032
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Real-Time Observations of Food and Fluid Timing During a 120 km Ultramarathon

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. … Show more

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Cited by 25 publications
(67 citation statements)
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References 31 publications
(54 reference statements)
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“…It is likely that other factors are important for race performance, e. g. neuromuscular fatigue, prior experience, training history, pacing strategies, nutrition or individual pain threshold [9,[17][18][19][20][21][22][23], though these aspects were not investigated in the present study. It should also be mentioned that the drop-out rate during the long run was high, yet comparable to the literature [14,24]. The reason for the drop-out has been exhaustion and was not caused by injury or an inadequate fitness level (e. g., laboratory performance parameters did not differ between finishers and non-finishers).…”
Section: Discussionsupporting
confidence: 80%
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“…It is likely that other factors are important for race performance, e. g. neuromuscular fatigue, prior experience, training history, pacing strategies, nutrition or individual pain threshold [9,[17][18][19][20][21][22][23], though these aspects were not investigated in the present study. It should also be mentioned that the drop-out rate during the long run was high, yet comparable to the literature [14,24]. The reason for the drop-out has been exhaustion and was not caused by injury or an inadequate fitness level (e. g., laboratory performance parameters did not differ between finishers and non-finishers).…”
Section: Discussionsupporting
confidence: 80%
“…Based on the results of a 65 km mountain ultra-marathon [4] and a 24 hour running simulation [8], a sample size of n = 11 and n = 8 participants for the short and the long run respectively, resulted in a power of > 80 % to detect a strong correlation. As we expected a small drop-out rate in the short run (n = 0-1, [6]) but a drop-out rate of approximately 45 % in the long run [14], we recruited n = 12 and n = 15 males for the short and the long run, respectively. Data was analysed using IBM SPSS Statistics 21.…”
Section: Discussionmentioning
confidence: 99%
“…Observational studies have highlighted 1) high variability in intake among participants [23][24][25] and 2) a failure to respect recommendations; i.e. actual intake lower than that advised [23,26,27].…”
Section: Introductionmentioning
confidence: 99%
“…Among the myriad of ultra-endurance races, the 24-h ultramarathon is distinguishable from others as athletes have to repeat a small loop multiple times (6 km for the Glenmore24 [19,23]) instead of following a one-way route [13,24,26,27]. From a logistical point of view, this implies that food and drink intake is facilitated, since athletes very frequently pass in front of the food supply tents.…”
Section: Introductionmentioning
confidence: 99%
“…However, fluid overload is a dangerous practice during prolonged exercise, and it should be avoided [14]. The amount of consumed fluid can vary among individual runners to compensate body fluid loss [15]. Excessive fluid drinking has been reported to be one of the factors that could cause EAH [16].…”
Section: Discussionmentioning
confidence: 99%