AI Article Synopsis

  • The study developed a scoring method called the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score) to evaluate gait performance in older adults, aiming to determine its consistency and validity.
  • 378 community-dwelling older adults were assessed using inertial sensors to measure various gait parameters like walking speed and stride time, with scores calculated on a scale based on quartiles by gender.
  • Findings showed the C-GAITS score effectively identified four factors of gait performance, demonstrated good internal consistency, and had a significant correlation with walking speed and age.

Article Abstract

Background: Although some gait parameters from inertial sensors have been shown to be associated with important clinical issues, because of controversial results, it remains uncertain which parameters for which axes are clinically valuable. Following the idea that a comprehensive score obtained by summing various gait parameters would sensitively reflect declines in gait performance, we developed a scoring method for community-dwelling older adults, the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score). The aim of this study was to examine the internal consistency and the construct validity of this method.

Methods: In this cross-sectional study, the gait performance of 378 community-dwelling older people (mean age = 71.7 ± 4.2 years, 210 women) was assessed using inertial sensors attached to the heel and lower trunk. Participants walked along a 15-m walkway, and accelerations, angular velocity, and walking time were measured. From these data, walking speed, mean stride time, coefficients of variation of stride time and swing time, and autocorrelation coefficients and harmonic ratios of acceleration in vertical, mediolateral, and anteroposterior directions at the lower trunk were calculated. Scoring was performed based on quartile by gender (i.e., scored from 0 to 3) for each of the 10 gait parameters. The C-GAITS score was the sum of these scores (range: 0-30). Lower extremity strength, balance function, fall history, and fear of falling were also assessed.

Results: An exploratory factor analysis revealed that the C-GAITS score yielded four distinct factors explaining 57.1% of the variance. The Cronbach's alpha coefficient was 0.77. A single linear regression analysis showed a significant relationship between total C-GAITS score and walking speed (adjusted R = 0.28). Results from bivariate comparisons using unpaired t-tests showed that the score was significantly related to age (p = 0.002), lower extremity strength (p = 0.007), balance function (p <  0.001), fall history (p = 0.04), and fear of falling (p <  0.001).

Conclusions: Good internal consistency and appropriate construct validity of the C-GAITS score were confirmed among community-dwelling older adults. The score might be useful in clinical settings because of ease of use and interpretation and capability of capturing functional decline.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540531PMC
http://dx.doi.org/10.1186/s12984-019-0539-3DOI Listing

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This study aimed to investigate whether abnormal gait patterns are associated with experiencing an elevated degree of pain after daily walking. In this preliminary, cross-sectional study, 223 community-dwelling older adults were assessed for pain experienced after daily walking using a simple question that involved asking the subject about their past experiences of an elevated degree of pain after walking for 400 m or more. Gait patterns were assessed using the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score), derived from the data measured by Inertial sensors attached to the lower trunk and heel when subjects walked along a 15 m walkway at a self-selected preferred speed.

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Article Synopsis
  • The study developed a scoring method called the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score) to evaluate gait performance in older adults, aiming to determine its consistency and validity.
  • 378 community-dwelling older adults were assessed using inertial sensors to measure various gait parameters like walking speed and stride time, with scores calculated on a scale based on quartiles by gender.
  • Findings showed the C-GAITS score effectively identified four factors of gait performance, demonstrated good internal consistency, and had a significant correlation with walking speed and age.
View Article and Find Full Text PDF

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