{"title":"Wheelchair dependence in patients with dementia: Focus on kinematic gait analysis using simple wearable accelerometers and gyroscopes.","authors":"Yuhei Chiba, Asaki Kumamoto, Nobuhiko Noguchi, Asuka Yoshimi, Akira Suda, Akitoyo Hishimoto, Akihiko Kase","doi":"10.1080/10400435.2024.2348147","DOIUrl":null,"url":null,"abstract":"<p><p>Falls, wheelchair dependence, and bedridden status are the results of reduced mobility in the mid-late course of dementia. Kinematic gait analysis for patients with dementia is lacking because practically setting sensors on their bodies is particularly difficult. We analyzed the parameters of kinematic gait analysis that are related to the risks of wheelchair dependence in patients with dementia using wearable accelerometers and gyroscopes for detecting 3-dimensional physical movements. We collected data from 34 patients with dementia regarding demographics, cognitive function, CT scan findings, medications, and gait analysis parameters. The patients were followed up for 6 months. We compared data between dementia patients with and without wheelchair dependence by t-test or Fisher's exact test, multiple comparison, and simple logistic regression analysis for wheelchair dependence by gait analysis parameters. Eleven patients became wheelchair-dependent during the 6 months. The score on the clinical dementia rating scale was significantly higher and the hip extensor angle in walking was significantly lower in patients with dementia with wheelchair dependence than in those without. The severity of dementia and the lower angle of the hip extensor during walking may indicate the necessity of a wheelchair for patients with this disease.</p>","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":" ","pages":"398-404"},"PeriodicalIF":2.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assistive Technology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10400435.2024.2348147","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0
Abstract
Falls, wheelchair dependence, and bedridden status are the results of reduced mobility in the mid-late course of dementia. Kinematic gait analysis for patients with dementia is lacking because practically setting sensors on their bodies is particularly difficult. We analyzed the parameters of kinematic gait analysis that are related to the risks of wheelchair dependence in patients with dementia using wearable accelerometers and gyroscopes for detecting 3-dimensional physical movements. We collected data from 34 patients with dementia regarding demographics, cognitive function, CT scan findings, medications, and gait analysis parameters. The patients were followed up for 6 months. We compared data between dementia patients with and without wheelchair dependence by t-test or Fisher's exact test, multiple comparison, and simple logistic regression analysis for wheelchair dependence by gait analysis parameters. Eleven patients became wheelchair-dependent during the 6 months. The score on the clinical dementia rating scale was significantly higher and the hip extensor angle in walking was significantly lower in patients with dementia with wheelchair dependence than in those without. The severity of dementia and the lower angle of the hip extensor during walking may indicate the necessity of a wheelchair for patients with this disease.
期刊介绍:
Assistive Technology is an applied, scientific publication in the multi-disciplinary field of technology for people with disabilities. The journal"s purpose is to foster communication among individuals working in all aspects of the assistive technology arena including researchers, developers, clinicians, educators and consumers. The journal will consider papers from all assistive technology applications. Only original papers will be accepted. Technical notes describing preliminary techniques, procedures, or findings of original scientific research may also be submitted. Letters to the Editor are welcome. Books for review may be sent to authors or publisher.