The Dance of Aging: Gait Changes in Older Adults Revealed by Inertial Measurement Units

Published on September 8, 2022

Just like dance moves change as you get older, so does the way we walk. A 6-year study used small devices called inertial measurement units (IMUs) to track the walking patterns of older adults. These IMUs provided accurate measurements of various gait parameters like speed, step length, time, variability, and asymmetry. The study found that women tend to have slower walking speeds and shorter steps compared to men. The data also showed that these gait parameters deteriorate over time in men and at an older age. However, the patterns were less clear for parameters related to variability and asymmetry. This valuable information can help future studies in understanding how age and gender affect gait, as well as investigating age-related diseases. If you’re interested in learning more about this fascinating research, check out the full article!

Gait changes during aging and differs between sexes. Inertial measurement units (IMUs) enable accurate quantitative evaluations of gait in ambulatory environments and in large populations. This study aims to provide IMU-based gait parameters’ values derived from a large longitudinal cohort study in older adults. We measured gait parameters, such as velocity, step length, time, variability, and asymmetry, from straight, self-paced 20-m walks in older adults (four visits: 715/1102/1017/957 participants) every second year over 6 years using an IMU at the lower back. Moreover, we calculated the associations of gait parameters with sex and age. Women showed lower gait speed, step length, step time, stride time, swing time, and stance time, compared to men. Longitudinal analyses suggest that these parameters are at least partly deteriorating within the assessment period of 2 years, especially in men and at an older age. Variability and asymmetry parameters show a less clear sex- and age-associated pattern. Altogether, our large longitudinal dataset provides the first sex-specific information on which parameters are particularly promising for the detection of age-related gait changes that can be extracted from an IMU on the lower back. This information may be helpful for future observational and treatment studies investigating sex and age-related effects on gait, as well as for studies investigating age-related diseases.

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