{"title":"Relationship between adaptability during turning and the complexity of walking before turning in older adults.","authors":"Takahito Nakamura, Kentaro Kodama, Juntaro Sakazaki, Takahiro Higuchi","doi":"10.1080/00222895.2023.2199692","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, the relationship between behavioral complexity (sample entropy, SEn) during steady walking and the quickness of subsequent turning performance in older adults. Herein, healthy older and younger adults (n = 12 each) were instructed to walk straight and then turn into an intersection surrounded by four pylons. This walking task was performed under two turning conditions: reactive and pre-planned turning, where the direction of turning was unknown until immediately before turning or was informed beforehand, respectively. For older adults, behavioral complexity was comparable under both conditions, but was higher under reactive than pre-planned turning condition for younger adults. This suggests that older adults cannot adapt their walking patterns in response to turning conditions. Correlation analysis showed that older adults with lower SEn had more difficulty in turning rapidly under reactive turning condition, indicating a relationship between the two variables. Thus, deterioration of the reactive turning performance in older adults is related to stereotyped movements during steady walking.</p>","PeriodicalId":50125,"journal":{"name":"Journal of Motor Behavior","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Motor Behavior","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/00222895.2023.2199692","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/11 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, the relationship between behavioral complexity (sample entropy, SEn) during steady walking and the quickness of subsequent turning performance in older adults. Herein, healthy older and younger adults (n = 12 each) were instructed to walk straight and then turn into an intersection surrounded by four pylons. This walking task was performed under two turning conditions: reactive and pre-planned turning, where the direction of turning was unknown until immediately before turning or was informed beforehand, respectively. For older adults, behavioral complexity was comparable under both conditions, but was higher under reactive than pre-planned turning condition for younger adults. This suggests that older adults cannot adapt their walking patterns in response to turning conditions. Correlation analysis showed that older adults with lower SEn had more difficulty in turning rapidly under reactive turning condition, indicating a relationship between the two variables. Thus, deterioration of the reactive turning performance in older adults is related to stereotyped movements during steady walking.
期刊介绍:
The Journal of Motor Behavior, a multidisciplinary journal of movement neuroscience, publishes articles that contribute to a basic understanding of motor control. Articles from different disciplinary perspectives and levels of analysis are encouraged, including neurophysiological, biomechanical, electrophysiological, psychological, mathematical and physical, and clinical approaches. Applied studies are acceptable only to the extent that they provide a significant contribution to a basic issue in motor control. Of special interest to the journal are those articles that attempt to bridge insights from different disciplinary perspectives to infer processes underlying motor control. Those approaches may embrace postural, locomotive, and manipulative aspects of motor functions, as well as coordination of speech articulators and eye movements. Articles dealing with analytical techniques and mathematical modeling are welcome.