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Abstract

Natural experiments are a form of passive experiments that analyze populations exposed to environmental or behavioral 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 behaviors, including the characteristics of training programs 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 advance 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.
Original languageEnglish
Pages (from-to)813-820
Number of pages8
JournalJournal of Applied Physiology
Volume141
Issue number3
Early online date24 Aug 2026
DOIs
Publication statusE-pub ahead of print - 24 Aug 2026

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