ArticleInternational journal of exercise science2020
The Determinants of Marathon Performance: An Observational Analysis of Anthropometric, Pre-race and In-race Variables.
Article in International journal of exercise science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Temperature-driven modulation of factors influencing full-Marathon time in male recreational runners.Physiological reports · 2026Article
- Boston Marathon athlete performance outcomes and intra-event medical encounter risk associated with low energy availability indicators.British journal of sports medicine · 2025Article
- Pacing strategies in marathons: A systematic review.Heliyon · 2024Article
- Modelling human endurance: power laws vs critical power.European journal of applied physiology · 2024Article
- "Smells like team spirit" the association between running club membership and performance in the London Marathon: An economic analysis.PloS one · 2024Article
- Impact of marathon performance on muscles stiffness in runners over 50 years old.Frontiers in psychology · 2023Article
- Development and Validation of Prediction Equation of "Athens Authentic Marathon" Men's Race Speed.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers investigating the determinants of marathon performance have previously focused on pre-race (e.g. training) or in-race (e.g. pacing) variables, but not both. This cross-sectional study, therefore, sought to elucidate the relationship between training behaviours, in-race pacing and anthropometric variables with eventual marathon finish time. A self-report questionnaire collecting athletes' anthropometrics, training behaviours and recent race times was administered to 260 participants in the 2018 Dublin Marathon. Participants' race numbers were cross referenced with in-race split times and finish times to determine their race performance. The accuracy or pragmatism of participants' target finish time was calculated using a 'predicted' time based on their training and previous race performances and subtracting this value from their eventual finish time. Multiple regression analysis examined the influence of age, body mass index (BMI), marathon experience, training history, target finish time pragmatism and in-race pace variance on marathon performance. The model was statistically significant and predicted marathon finish time
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.