Meta-analysis of the quantitative assessment of lower extremity motor function in elderly individuals based on objective detection.
Wen Liu, Jinzhu Bai
PMID 38926890WHAT IT FOUND
Objective sensors and 3D motion capture systems reliably detected differences in walking speed and stride length between elderly groups.
Wearable inertial sensors and clinical gait analysis showed inconsistent results across studies, making them less dependable for standardized assessment.
Key findings
01Sensors and 3D motion capture systems showed low heterogeneity, suggesting they are highly standardized and reliable for clinical use.
02Inertial measurement units (IMUs) and gait analysis methods displayed high heterogeneity, indicating inconsistent results across studies.
03All objective detection methods significantly distinguished step velocity and step length between experimental and control groups.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The included studies had a high risk of bias because none of them used blinding for participants or personnel. Allocation concealment was not reported in any of the 19 studies. There was significant publication bias for step velocity results. The sources of heterogeneity for IMUs and gait analysis were not conclusively identified, though differences in data collection methods are suspected. The review only included studies published in English from 2018 to 2023, which may limit generalizability.
Declared interests
The study was funded by the Chinese National Key Research and Development Project. No other conflicts of interest were declared.
The easy way to misread this
Do not assume that all wearable sensors are equally accurate. While 3D motion capture and specific motion sensors showed consistent results, inertial measurement units (IMUs) had very high variability across studies, meaning their data may not be reliable for standardized clinical assessment yet.