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Prevalence of Female and Male Vegan and Non-Vegan Endurance Runners and the Potential Associations of Diet Type and BMI with Performance-Results from the NURMI Study (Step 1).

Katharina WirnitzerDerrick R TanousMohamad MotevalliGerold WirnitzerClaus LeitzmannRenato PichlerThomas Johannes RosemannBeat Knechtle
Published in: Nutrients (2022)
This study aims to investigate vegetarian and mixed diet type prevalences among distance runners at running events around the world and associations with running-related patterns and performance. Following a cross-sectional approach, linear regression analyses were carried out to identify potential associations among body mass index (BMI), diet type, and average best performance times of half-marathon and marathon events for males and females. From a sample of 3835 runners who completed an online questionnaire, 2864 all-distance runners (age: 37 years; 57% females) were included in inferential analyses and categorized into dietary subgroups according to self-reports: 994 vegans (34.7%), 598 vegetarians (20.9%), and 1272 omnivores (44.4%). Significant associations were identified between kind of diet and best average time to finish (i) half-marathons in females where vegans ( p = 0.001) took longer than omnivores, (ii) half-marathons in males where vegans ( p < 0.001) and vegetarians ( p = 0.002) took longer than omnivores, and (iii) marathons in males where vegans ( p < 0.001) and vegetarians ( p = 0.043) averaged slower than omnivores. Increased units of BMI (+1.0) in males influenced best runtimes: 2.75 (3.22-2.27) min slower for HM and 5.5 (5.69-4.31) min slower for M. The present study did not take detailed confounders into account such as runner motives or training behaviors; however, the results may provide valuable insight for running event organizers, nutrition experts, coaches, and trainers advising runners who adhere to a general diet type regarding the basic question of who participates in running events around the world.
Keyphrases
  • body mass index
  • physical activity
  • weight loss
  • high intensity
  • weight gain
  • emergency department
  • risk assessment
  • risk factors
  • cross sectional
  • climate change
  • human health
  • electronic health record