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Natural Experiments in Marathon Running

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Authors

Muniz-Pumares, Daniel

Maunder, Ed

Smyth, Barry

Hunter, Ben

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American Physiological Society

Abstract

Natural experiments are a form of passive experiments that analyse populations exposed to environmental or behavioural stimuli. Here, we review natural experiments using marathon running as an example of an unusual physiological stressor to illustrate how such approaches can generate new hypotheses or test competing ones using large datasets of training and performance data. Natural experiments have been able to demonstrate that marathons are completed close to, but below, critical speed, and that faster athletes complete marathons at a higher fraction of critical speed compared with slower runners. Environmental conditions, such as heat and altitude, as well as training and racing behaviours including the characteristics of training programmes and pacing strategies, have also been demonstrated to impact marathon performance. Findings from the natural experiments discussed herein often align with results from smaller, laboratory-controlled studies. However, the scale of these datasets has allowed for the detection of subtle trends and interactions that otherwise would remain undetected in smaller cohorts. In conclusion, natural experiments have helped advanced our understanding of marathon physiology and can effectively complement traditional laboratory-based interventions. Future research may explore hybrid approaches in which researchers conducting well-controlled laboratory experiments collaborate with running platforms to design integrated research studies that combine large sample sizes with laboratory-controlled interventions.

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big-data, endurance, marathon, 42 Health Sciences, 4207 Sports Science and Exercise, Health Disparities and Racial or Ethnic Minority Health Research, 06 Biological Sciences, 11 Medical and Health Sciences, Physiology, 31 Biological sciences, 32 Biomedical and clinical sciences, 42 Health sciences

Source

Journal of applied physiology, ISSN: 8750-7587 (Print); 1522-1601 (Online), American Physiological Society. doi: 10.1152/japplphysiol.00792.2025

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Creative Commons Attribution CC BY 4.0

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Except where otherwise noted, this item's license is described as Creative Commons Attribution CC BY 4.0