Human runners exhibit a least variable gait speed.

This study characterises the relationship between gait variability and speed in runners using data from trunk accelerations in each axis. Twelve participants of varying fitness ran on the treadmill with three sessions of six randomly ordered self-selected speeds. A VO2max test was conducted on the fourth session. Running gait was tracked with inertial sensors. The occurrence of a mid-range speed was analysed for the anterior-posterior, vertical and lateral directional coefficient of variation (CV) of root mean square (RMS) acceleration data. One participant with noisy gait signals was omitted. The results show all remaining participants consistently showed significant quadratic U-shaped relationships between vertical RMS CV acceleration and speed. Neither anterior-posterior nor lateral RMS CV acceleration were clearly related to speed. These least variable gait speeds were similar to estimates of optimal speed derived from minimum cost of transport with speed. In conclusion, there exists a mid-range speed for each runner with the least variable gait in the vertical direction, and this occurred significantly more often than would be expected by chance (P < 0.05). However, there are no prominent patterns for the anterior-posterior and lateral directions. This finding supports anecdotal evidence from runners and coaches concerning gait consistency.

Minimum cost of transport in human running is not ubiquitous.

PURPOSE: This study explores recent claims that humans exhibit minimum cost of transport (CoTmin) for running, which occurs at intermediate speed, and assesses individual physiological, gait, and training characteristics. METHODS: Twelve healthy participants with varying levels of fitness and running experience ran on a treadmill at six self-selected speeds in a discontinuous protocol over three sessions. Running speed (km·h), VO2 (mL·kg·km), CoT (kcal·km), HR (bpm), and cadence (steps per minute) were continuously measured. VO2max was measured on the fourth testing session. The occurrence of CoTmin was investigated, and its presence or absence was examined with respect to fitness, gait, and training characteristics. RESULTS: Five participants showed clear CoTmin at intermediate speed and a statistically significant (P < 0.05) quadratic CoT-speed function, whereas the other participants did not show such evidence. Participants were then categorized and compared with respect to the strength of evidence for CoTmin (ClearCoTmin and NoCoTmin). The ClearCoTmin group displayed a significantly higher correlation between speed and cadence, more endurance training and exercise sessions per week, and a marginally nonsignificant but higher aerobic capacity than the NoCoTmin group. Some runners still showed CoTmin at intermediate speed even after subtraction of resting energy expenditure. CONCLUSIONS: The findings confirm the existence of optimal speed for human running in some but not all participants. Those exhibiting COTmin undertook higher volume of running, ran with a cadence that was more consistently modulated with speed, and tended to be aerobically fitter. The ability to minimize energetic CoT seems not to be a ubiquitous feature of human running but may emerge in some individuals with extensive running experience.