Journal of Food and Nutrition Research
ISSN (Print): 2333-1119 ISSN (Online): 2333-1240 Website: Editor-in-chief: Prabhat Kumar Mandal
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Journal of Food and Nutrition Research. 2016, 4(4), 205-209
DOI: 10.12691/jfnr-4-4-2
Open AccessArticle

Habitual Dietary Intake among Recreational Ultra-Marathon Runners: Role of Macronutrients on Performance

Sara E. Mahoney1, , Andrew D. Carnes1, Thomas R. Wójcicki1, Emily Frith1 and Kaitlin Ferry1

1Department of Exercise Science, Bellarmine University, Louisville, KY 40205, USA

Pub. Date: May 11, 2016

Cite this paper:
Sara E. Mahoney, Andrew D. Carnes, Thomas R. Wójcicki, Emily Frith and Kaitlin Ferry. Habitual Dietary Intake among Recreational Ultra-Marathon Runners: Role of Macronutrients on Performance. Journal of Food and Nutrition Research. 2016; 4(4):205-209. doi: 10.12691/jfnr-4-4-2


Ultra-marathons (footraces greater than 42.2 km) are increasing in popularity, however little is known about the habitual dietary intake of these runners. The aim of this investigation was to empirically describe the habitual training diet of ultra-marathon runners and determine if macronutrient intake was associated with 161-km race performance. To assess habitual diet, runners recruited from five 161-km ultra-marathons across the U.S. (N = 47) completed a diet and training questionnaire, and a web-based 24-hour dietary recall on three separate days within 1-4 weeks prior to a 161-km race. Multiple linear regression was used to predict finish time with covariates carbohydrate, fat and protein, expressed relative to body weight (g·kg-1) and total intake (% of diet). To determine differences in macronutrient intake between finishers and non-finishers, two-sample t-tests were used. Dietary intake was varied among participants; mean carbohydrate intake (5.19±2.62 g·kg-1), fat (36.48±10.42%) and protein (1.86±0.67 g·kg-1). Macronutrient intake (g·kg-1) predicted finish time (R2 = 0.232, P =0.036), however fat was the only significant covariate (t = -2.90, P =0.007). Relative macronutrient intake (% of diet) did not predict finish time (R2 =0.145, P =0.155). No significant differences were found in macronutrient intake between finishers (n=36) and non-finishers (n=11). Habitual dietary fat intake in ultra-marathon runners was a significant predictor of 161-km finish time, regardless of carbohydrate or protein intake. Further investigation is warranted to determine the optimal nutrient intake in ultra-marathon runners to maximize performance.

sport nutrition ultra-endurance endurance performance

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