Minding your steps: a cross-sectional pilot study using foot-worn inertial sensors and dual-task gait analysis to assess the cognitive status of older adults with mobility limitations

• Published in: BMC geriatrics 2023-05, Vol.23 (1), p.329-329, Article 329
• Main Authors: Guimarães, Vânia, Sousa, Inês, de Bruin, Eling D, Pais, Joana, Correia, Miguel Velhote
• Format: Article
• Language: English
• Subjects: Aged; Aging; Analysis; Cognition; Cognition & reasoning; Cognitive ability; Cognitive impairment; Cross-Sectional Studies; Dementia; Dual-task; Gait; Gait Analysis; Geriatrics; Health aspects; Humans; Inertial sensors; Medicin och hälsovetenskap; Methods; Mobility; Mobility Limitation; Older adults; Older people; Pilot Projects; Reproducibility of Results; Sensors; Statistical analysis; Walking
• ISSN: 1471-2318; 1471-2318
• DOI: 10.1186/s12877-023-04042-6

Cognitive impairment is a critical aspect of our aging society. Yet, it receives inadequate intervention due to delayed or missed detection. Dual-task gait analysis is currently considered a solution to improve the early detection of cognitive impairment in clinical settings. Recently, our group proposed a new approach for the gait analysis resorting to inertial sensors placed on the shoes. This pilot study aimed to investigate the potential of this system to capture and differentiate gait performance in the presence of cognitive impairment based on single- and dual-task gait assessments. We analyzed demographic and medical data, cognitive tests scores, physical tests scores, and gait metrics acquired from 29 older adults with mobility limitations. Gait metrics were extracted using the newly developed gait analysis approach and recorded in single- and dual-task conditions. Participants were stratified into two groups based on their Montreal Cognitive Assessment (MoCA) global cognitive scores. Statistical analysis was performed to assess differences between groups, discrimination ability, and association of gait metrics with cognitive performance. The addition of the cognitive task influenced gait performance of both groups, but the effect was higher in the group with cognitive impairment. Multiple dual-task costs, dual-task variability, and dual-task asymmetry metrics presented significant differences between groups. Also, several of these metrics provided acceptable discrimination ability and had a significant association with MoCA scores. The dual-task effect on gait speed explained the highest percentage of the variance in MoCA scores. None of the single-task gait metrics presented significant differences between groups. Our preliminary results show that the newly developed gait analysis solution based on foot-worn inertial sensors is a pertinent tool to evaluate gait metrics affected by the cognitive status of older adults relying on single- and dual-task gait assessments. Further evaluation with a larger and more diverse group is required to establish system feasibility and reliability in clinical practice. ClinicalTrials.gov (identifier: NCT04587895).