ArticlePloS one2025
Vertical ground reaction force variables derived from Loadsol® insoles during overground walking are valid and reliable.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Force sensing insoles for measuring vertical ground reaction force (VGRF) have several advantages over laboratory-based force plates. Data can easily be collected in real-world environments and long duration trials with multiple steps are feasible. However, the sampling rate of insoles is lower and only vertical force is recorded. The reliability and validity of Loadsol® force sensing insoles have been evaluated for treadmill walking, but not overground walking. The purpose of the study was to determine criterion-related validity and test-retest reliability of Loadsol® compared to gold standard force plates. Twenty healthy young adults walked overground across force plates while wearing insoles for two blocks of five trials. Variables of interest were extracted from each trial and averaged across trials and participants. Intraclass correlation coefficients (ICCs) determined criterion-related validity for Loadsol® variables compared to force plate variables. ICCs also determined within session test-retest reliability for Loadsol® and force plates. Bland Altman plots were generated to assess bias and 95% limits of agreement. Additionally, standard error of measurements (SEMs) and minimum detectable differences (MDDs) were calculated. Excellent validity and minimal bias with Loadsol® was found for passive peak, active peak, instantaneous loading rate, impulse, and stance time, with good validity and an overestimation bias for average loading rate. Excellent test-retest reliability comparable to force plate reliability was also found for all variables. The SEMs and MDDs reported here help to inform researchers about whether the Loadsol® are suited to answering their research questions. By comparing the anticipated changes in a VGRF variable with the MDD of that variable, researchers can determine if Loadsol® are appropriate for the context of their study.
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