{"title":"跨越障碍时足部轨迹模式的年龄相关差异:统计参数映射方法","authors":"Yuki Suda , Kentaro Kodama , Yu Ozawa , Ryota Sakurai","doi":"10.1016/j.gaitpost.2025.04.034","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Falls in older adults frequently occur during obstacle crossing. Recent investigations have focused on age-related differences in foot trajectory patterns throughout the swing phase of obstacle crossing. However, a standardized method for comparing these differences has not been established. Statistical parametric mapping (SPM) is advantageous for comparing time-series data and may be applicable to foot trajectory data.</div></div><div><h3>Objective</h3><div>This study aimed to elucidate age-related differences in foot trajectory patterns using SPM.</div></div><div><h3>Methods</h3><div>We conducted a secondary analysis of data from Sakurai et al. (2021), involving 72 older (78.04 ± 5.74 years) and 76 younger (28.36 ± 7.84 years) adults. Participants were required to walk and cross a 15 cm-high obstacle four times. The foot trajectory pattern was calculated using the toe height throughout one step (i.e., the swing phase from toe-off to heel contact) when the leading limb crossed the obstacle. The patterns were normalized based on the time required for each step. Differences in foot trajectory patterns were compared between age groups using a non-paired <em>t</em>-test SPM.</div></div><div><h3>Results</h3><div>Older adults exhibited higher toe heights preceding obstacle crossing and lower toe heights before landing compared to younger adults. This indicates that age-related differences in the foot trajectory patterns occurred both before obstacle crossing and landing.</div></div><div><h3>Conclusion</h3><div>Our novel approach demonstrates the utility of SPM in capturing foot trajectory patterns during obstacle crossing and provides evidence that age-related characteristics may be overlooked by confining analysis solely to the moment of obstacle crossing.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"121 ","pages":"Pages 135-138"},"PeriodicalIF":2.2000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering age-related differences in foot trajectory patterns during obstacle crossing: Statistical parametric mapping approach\",\"authors\":\"Yuki Suda , Kentaro Kodama , Yu Ozawa , Ryota Sakurai\",\"doi\":\"10.1016/j.gaitpost.2025.04.034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Falls in older adults frequently occur during obstacle crossing. Recent investigations have focused on age-related differences in foot trajectory patterns throughout the swing phase of obstacle crossing. However, a standardized method for comparing these differences has not been established. Statistical parametric mapping (SPM) is advantageous for comparing time-series data and may be applicable to foot trajectory data.</div></div><div><h3>Objective</h3><div>This study aimed to elucidate age-related differences in foot trajectory patterns using SPM.</div></div><div><h3>Methods</h3><div>We conducted a secondary analysis of data from Sakurai et al. (2021), involving 72 older (78.04 ± 5.74 years) and 76 younger (28.36 ± 7.84 years) adults. Participants were required to walk and cross a 15 cm-high obstacle four times. The foot trajectory pattern was calculated using the toe height throughout one step (i.e., the swing phase from toe-off to heel contact) when the leading limb crossed the obstacle. The patterns were normalized based on the time required for each step. Differences in foot trajectory patterns were compared between age groups using a non-paired <em>t</em>-test SPM.</div></div><div><h3>Results</h3><div>Older adults exhibited higher toe heights preceding obstacle crossing and lower toe heights before landing compared to younger adults. This indicates that age-related differences in the foot trajectory patterns occurred both before obstacle crossing and landing.</div></div><div><h3>Conclusion</h3><div>Our novel approach demonstrates the utility of SPM in capturing foot trajectory patterns during obstacle crossing and provides evidence that age-related characteristics may be overlooked by confining analysis solely to the moment of obstacle crossing.</div></div>\",\"PeriodicalId\":12496,\"journal\":{\"name\":\"Gait & posture\",\"volume\":\"121 \",\"pages\":\"Pages 135-138\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gait & posture\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0966636225002061\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gait & posture","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0966636225002061","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
老年人在过障碍时经常摔倒。最近的研究集中在跨越障碍的摇摆阶段足部轨迹模式的年龄相关差异。然而,尚未建立一种比较这些差异的标准化方法。统计参数映射(SPM)有利于时间序列数据的比较,可以应用于足部轨迹数据。目的利用SPM分析足部轨迹模式的年龄相关性差异。方法我们对Sakurai et al.(2021)的数据进行了二次分析,涉及72名老年人(78.04 ± 5.74岁)和76名年轻人(28.36 ± 7.84岁)。参与者被要求行走并穿越15厘米高的障碍物四次。当前肢越过障碍物时,脚部轨迹模式是通过脚尖高度计算的(即从脚尖离地到脚后跟接触的摆动阶段)。模式根据每个步骤所需的时间进行规范化。使用非配对t检验SPM比较不同年龄组之间足部轨迹模式的差异。结果与年轻人相比,老年人在过障前脚趾高度较高,而在落地前脚趾高度较低。这表明足部轨迹模式的年龄相关差异发生在穿越障碍和着陆之前。我们的新方法证明了SPM在捕捉过障过程中足部轨迹模式的实用性,并提供了证据,证明仅将分析局限于过障时刻可能会忽略与年龄相关的特征。
Uncovering age-related differences in foot trajectory patterns during obstacle crossing: Statistical parametric mapping approach
Introduction
Falls in older adults frequently occur during obstacle crossing. Recent investigations have focused on age-related differences in foot trajectory patterns throughout the swing phase of obstacle crossing. However, a standardized method for comparing these differences has not been established. Statistical parametric mapping (SPM) is advantageous for comparing time-series data and may be applicable to foot trajectory data.
Objective
This study aimed to elucidate age-related differences in foot trajectory patterns using SPM.
Methods
We conducted a secondary analysis of data from Sakurai et al. (2021), involving 72 older (78.04 ± 5.74 years) and 76 younger (28.36 ± 7.84 years) adults. Participants were required to walk and cross a 15 cm-high obstacle four times. The foot trajectory pattern was calculated using the toe height throughout one step (i.e., the swing phase from toe-off to heel contact) when the leading limb crossed the obstacle. The patterns were normalized based on the time required for each step. Differences in foot trajectory patterns were compared between age groups using a non-paired t-test SPM.
Results
Older adults exhibited higher toe heights preceding obstacle crossing and lower toe heights before landing compared to younger adults. This indicates that age-related differences in the foot trajectory patterns occurred both before obstacle crossing and landing.
Conclusion
Our novel approach demonstrates the utility of SPM in capturing foot trajectory patterns during obstacle crossing and provides evidence that age-related characteristics may be overlooked by confining analysis solely to the moment of obstacle crossing.
期刊介绍:
Gait & Posture is a vehicle for the publication of up-to-date basic and clinical research on all aspects of locomotion and balance.
The topics covered include: Techniques for the measurement of gait and posture, and the standardization of results presentation; Studies of normal and pathological gait; Treatment of gait and postural abnormalities; Biomechanical and theoretical approaches to gait and posture; Mathematical models of joint and muscle mechanics; Neurological and musculoskeletal function in gait and posture; The evolution of upright posture and bipedal locomotion; Adaptations of carrying loads, walking on uneven surfaces, climbing stairs etc; spinal biomechanics only if they are directly related to gait and/or posture and are of general interest to our readers; The effect of aging and development on gait and posture; Psychological and cultural aspects of gait; Patient education.