Gait & posture最新文献

{"title":"The influence of postural control on toe clearance during stair negotiation in older adults","authors":"Gabriela Vigorito Magalhães,&nbsp;Fernando Braz Langami ,&nbsp;Anderson Rodrigues Delunardo ,&nbsp;Natalia Madalena Rinaldi","doi":"10.1016/j.gaitpost.2025.110004","DOIUrl":"10.1016/j.gaitpost.2025.110004","url":null,"abstract":"<div><h3>Background</h3><div>Aging interferes with postural control in older adults and affects their functional ability to perform daily activities, like walking and stair negotiation. As a result, older adults tend to have less toe clearance in relation to the step during stair negotiation, which is reflected in a greater risk of falling. However, there is no evidence of influence of postural control on toe clearance performance during stair negotiation in older adults.</div></div><div><h3>Research question</h3><div>Does the performance of postural control influence toe clearance behavior during stair negotiation in older adults?</div></div><div><h3>Methods</h3><div>This study was conducted on 16 healthy older adults. Participants were asked to go up and down a stair with four steps that was one meter away. To assess postural control, participants were instructed to stand on the force platform and perform the following postures: 1) Semi tandem base and 2) single leg base. The toe clearance was calculated for landing and transition moments for both limbs; the temporal variables mean sway amplitude and total mean velocity were considered.</div></div><div><h3>Results</h3><div>Postural control temporal variables can partly explain toe clearance behavior during stair negotiation. A greater influence of mean sway amplitude was found in the semi tandem base during stair ascent and descent.</div></div><div><h3>Significance</h3><div>These results allow the identification of the risk related to tripping and falling on the stairs, as well as training for better postural control and locomotor performance in older adults during stair negotiation.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"123 ","pages":"Article 110004"},"PeriodicalIF":2.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive deep learning model for motor phenotypes of Parkinson's disease using three-dimensional kinect V2 detectors","authors":"Yun-Ru Lai ,&nbsp;Chih-Cheng Huang ,&nbsp;Chia-Yi Lien ,&nbsp;Yi-Fang Chiang ,&nbsp;Chi-Ping Ting ,&nbsp;Chien-Feng Kung ,&nbsp;Cheng-Hsien Lu","doi":"10.1016/j.gaitpost.2025.110000","DOIUrl":"10.1016/j.gaitpost.2025.110000","url":null,"abstract":"<div><h3>Background</h3><div>Gait impairments are common for Parkinson’s disease (PD). With the development of artificial intelligence (AI) technology and three-dimensional Kinect V2 Detectors, it is possible to enable more accurate characterization of gait impairment. We develop a comprehensive prediction model by combining skeleton gait energy image with relative distance and angle for PD motor phenotypes.</div></div><div><h3>Research question</h3><div>Does the hybrid convolutional neural network-long short-term memory (CNN-LSTM) deep learning model improve diagnostic accuracy and outperform CNN or LSTM models in diagnosing different motor phenotypes of PD?</div></div><div><h3>Method</h3><div>We implemented and compared three deep learning architectures—CNN, LSTM, and a hybrid CNN-LSTM model. To mitigate class imbalance and enhance classification accuracy, the Synthetic Minority Oversampling Technique was applied. Feature relevance was determined using Random Forest (RF) and SHapley Additive exPlanations (SHAP), facilitating the identification of key predictors. Participants were stratified into three groups—healthy controls, non-postural instability, and gait disturbance (non-PIGD), and PIGD—based on mean scores from selected items of the Unified Parkinson’s Disease Rating Scale.</div></div><div><h3>Results</h3><div>The CNN–LSTM model demonstrated the highest predictive performance for PIGD classification during straight and turning walking in the off-medication state (AUC = 0.94 for both), followed by the CNN (AUC = 0.85 and 0.88) and LSTM models (AUC = 0.81 and 0.72). Moreover, the CNN–LSTM model achieved the highest classification accuracy across both on- and off-medication conditions. Using the DeLong test, we compared ROC curves of the CNN, LSTM, and hybrid CNN–LSTM models for PIGD classification across straight and turning walking tasks under both on- and off-medication conditions. The hybrid CNN–LSTM model consistently achieved significantly higher AUCs than the CNN and LSTM models in all settings.</div></div><div><h3>Conclusion</h3><div>Our study demonstrated that using a hybrid CNN-LSTM deep learning model in combination with RF and/or SHAP-based feature analysis, can achieve high classification performance.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"123 ","pages":"Article 110000"},"PeriodicalIF":2.4,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Different types of mastoid vibration induce different responses to ground reaction force during walking: An exploratory study","authors":"Biying Huang ,&nbsp;Haolan Liang ,&nbsp;Yufeng Lin ,&nbsp;Jung Hung Chien","doi":"10.1016/j.gaitpost.2025.08.071","DOIUrl":"10.1016/j.gaitpost.2025.08.071","url":null,"abstract":"<div><h3>Background</h3><div>Mastoid vibration (MV) helps detect changes in spatial-temporal gait parameters and margin of stability, allowing researchers to study how sensory input influences motor control strategies. Additionally, ground reaction force (GRF) measurement has widely emerged as a more accessible alternative to camera-based motion capture systems for detecting balance control in healthy and pathological groups in smaller clinical settings.</div></div><div><h3>Research question</h3><div>Would different MV affect the GRF parameters in healthy young individuals?</div></div><div><h3>Methods</h3><div>Twenty young adults experienced MV unilaterally or bilaterally during walking to temporarily disrupt vestibular function. Dependent variables included amplitude of GRF peaks, time-to-peaks, and respective variabilities in anterior-posterior, medial-lateral, and vertical directions during weight acceptance (initial contact to loading response) and push-off (terminal stance) phases.</div></div><div><h3>Results</h3><div>A significant effect of MV was found in the amplitude of GRF peaks in the AP (F_{2, 38} = 20.607, p &lt; 0.001) and in the ML directions (F_{2, 38} = 20.607, p &lt; 0.001) during the weight acceptance period. In the AP direction, bilateral MV reduced amplitude of GRF peaks more than no MV (p &lt; 0.001) and unilateral MV (p = 0.002). Unilateral MV increased ML GRF peak amplitude when compared with the application of no MV (p = 0.001) or bilateral MV (p = 0.024). MV didn’t affect the time-to-peak of GRF between conditions.</div></div><div><h3>Conclusion</h3><div>These observations suggested that different types of MV induced different patterns of GRFs and respective variabilities. This foundational knowledge paves the way for developing new methods to identify and diagnose specific vestibular disorders.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 382-388"},"PeriodicalIF":2.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Instrumented Timed Up and Go test: A reliable and valid tool for elderly with femur fracture","authors":"Marica Giardini,&nbsp;Ilaria Arcolin,&nbsp;Simone Baracco,&nbsp;Stefano Corna,&nbsp;Marco Godi","doi":"10.1016/j.gaitpost.2025.08.074","DOIUrl":"10.1016/j.gaitpost.2025.08.074","url":null,"abstract":"<div><h3>Background</h3><div>The Timed Up and Go (TUG) test, commonly used to predict falls, has been enhanced with an inertial sensor, creating the Instrumented TUG (iTUG). Its reliability has been evaluated in a few studies involving neurological and heterogeneous orthopaedic populations.</div></div><div><h3>Aim</h3><div>The aim was to assess the intra-rater, inter-rater, and test-retest reliability of the iTUG in patients with femur fractures and define an interpretative model of the iTUG and a discriminative one to detect patients at risk of fall.</div></div><div><h3>Methods</h3><div>201 inpatients with femur fractures underwent the iTUG test before discharge and a telephone follow-up at 1-month post-discharge to record falls. In a subgroup of 48 patients, iTUG data were used for assessing test-retest, intra-rater, and inter-rater reliability through Intra-class Correlation Coefficients. In the total sample, iTUG reliable variables were used for exploratory factor analysis and creating logistic regression models to identify the best predictive model for falls.</div></div><div><h3>Results</h3><div>27/100 iTUG variables demonstrated “excellent” reliability; of those, 15 not-redundant variables were collected in a 3-factor model explaining 74 % of total variance. 92 % of patients completed the follow-up, and 5.5 % were classified as fallers. The fall risk model created with three iTUG variables showed an R²= 0.31, with an AUC= 0.91.</div></div><div><h3>Conclusion</h3><div>The iTUG test is a reliable tool for assessing individuals with femur fractures, with 27 highly reliable variables. The 3-factor model offers a focused framework for gait evaluation, while the fall-risk model highlights the predictive value of iTUG variables, indicating that fall risk in the elderly depends on multiple gait characteristics.</div><div>This article was awarded the SIAMOC Best Paper 2024.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 375-381"},"PeriodicalIF":2.4,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influencing factors on swing phase ground clearance in transfemoral prostheses – A biomechanical study","authors":"Thomas Maximilian Köhler ,&nbsp;Barbara Pobatschnig ,&nbsp;Malte Bellmann","doi":"10.1016/j.gaitpost.2025.08.073","DOIUrl":"10.1016/j.gaitpost.2025.08.073","url":null,"abstract":"<div><h3>Background</h3><div>Prosthetic fittings for persons with a transfemoral amputation should provide adequate ground clearance (GC) during prosthetic side swing to minimize the risk of stumbling or falling. Insufficient ground clearance often leads to compensatory movements that consequently influence gait biomechanics negatively.</div></div><div><h3>Research question</h3><div>How do different prosthetic components and alignment of a transfemoral prosthesis affect prosthetic side GC and compensatory strategies during level walking?</div></div><div><h3>Methods</h3><div>Eight persons with transfemoral amputation were enrolled. Three different knee joints (one monocentric and two polycentric) as well as two prosthetic feet (with and without passive dorsiflexion) were investigated. For prosthetic alignment, ap-position of the knee and foot as well as prosthesis length were varied. Kinematic and kinetic parameters were recorded with a 12-camera optoelectronic system and two force plates embedded in a 12-m walkway. The measurements were performed during level walking with self-selected slow, mid and fast gait speed.</div></div><div><h3>Results</h3><div>Several consistent effects were observed. GC increased with higher prosthetic swing knee flexion angle, a more anterior knee position and more posterior foot position. The individual swing phase control of the investigated knee joints showed a higher impact on GC than by geometric shortening effects of the polycentric knee joints. Passive ankle dorsiflexion enhanced GC, but the more anterior position of the foot (recommended by the manufacturer) eliminates this effect. Shortening of the prosthesis did not affect GC consistently but resulted in negative impact on the pelvis and trunk. To compensate for a lack of GC, vaulting was primarily observed.</div></div><div><h3>Significance</h3><div>The findings provide experts with a comprehensive overview of relevant factors influencing ground clearance. The importance of prosthetic alignment and prosthetic knee swing phase control was particularly evident. This can help to optimize the prosthetic fitting to the needs of the user and to reduce unnatural compensatory strategies.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 389-397"},"PeriodicalIF":2.4,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of optimal classifier and sensor placement for fall risk classification using IMU-based gait data","authors":"Junwoo Park,&nbsp;Kitaek Lim,&nbsp;Seyoung Lee,&nbsp;Jongwon Choi,&nbsp;Woochol Joseph Choi","doi":"10.1016/j.gaitpost.2025.08.068","DOIUrl":"10.1016/j.gaitpost.2025.08.068","url":null,"abstract":"<div><h3>Background</h3><div>Fall risk can be classified using gait data collected from inertial measurement units (IMU). However, the optimal classifier and placement of IMU sensors to maximize classification performance have not yet been suggested.</div></div><div><h3>Research question</h3><div>Is there an optimal IMU application strategy that yields the highest accuracy for classifying fall risk during gait?</div></div><div><h3>Methods</h3><div>Ninety-three community-dwelling older adults were grouped into low or high risk of a fall. Then, kinematic data were acquired with 10 IMU sensors placed on body segments when they walked 10 m. The mean and variance of linear acceleration and angular velocity of IMU data were used as input features. We compared the performance of models trained using support vector machine (SVM), decision tree (DT), random forest (RF), K-nearest neighbors (KNN), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM) to evaluate the optimal combination of classification algorithm and sensor placement.</div></div><div><h3>Results</h3><div>Sensor placement was associated with the classification performance (F = 7.39, p &lt; 0.001), and the lower leg was the optimal sensor placement yielding the highest accuracy. However, neither the classification algorithm nor their interaction showed significant effects (p &gt; 0.05). The best classification performance was achieved by the SVM using the left lower leg sensor with 90.1 % accuracy, 95.7 % sensitivity, and 84.1 % specificity.</div></div><div><h3>Significance</h3><div>Fall risk classification performance was affected by the placement of IMU sensors, with the lower leg showing the highest classification accuracy. Our results should provide insights to advance fall prevention technology in older adults.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 352-357"},"PeriodicalIF":2.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gait abnormalities and ability to alter gait in children with idiopathic toe walking with a mild/moderate calf contracture","authors":"Mark L. McMulkin ,&nbsp;Bruce A. MacWilliams ,&nbsp;Susan E. Sienko ,&nbsp;Paige Lemhouse ,&nbsp;Jon Davids ,&nbsp;Shriners Children’s ITW Research Group ,&nbsp;Jeremy P. Bauer","doi":"10.1016/j.gaitpost.2025.08.066","DOIUrl":"10.1016/j.gaitpost.2025.08.066","url":null,"abstract":"<div><h3>Background</h3><div>Idiopathic toe walking is a common pediatric condition with those who continue to walk on their toes beyond childhood described as having persistent idiopathic toe walking (ITWp). Children with ITWp and mild/moderate contractures might be able to alter their gait pattern to a more typical gait. The purpose of this study was to compare self-selected toe walking to a “best-walk” pattern for children with ITWp and mild/moderate gastrocnemius/soleus contractures.</div></div><div><h3>Methods</h3><div>This prospective multi-site study recruited children with ITWp, aged 6–18 years, and physical exam dorsiflexion with knee extended from 10° plantarflexion to 5° dorsiflexion. Lower extremity kinematics with a multi-segment foot model were collected for self-selected and best-walk trials along with kinetics and electromyography. Variables were compared between conditions of self-selected walking ITWp, best-walk ITWp, and an age matched typically developing cohort.</div></div><div><h3>Results</h3><div>Sixty-five children participated in this study. Both the hindfoot and forefoot had increased plantarflexion with self-selected walking. Despite having a mild/moderate contracture, this group could volitionally alter their gait pattern from self-selected to best-walk via overall dorsiflexion, resulting in improvements in hindfoot and forefoot kinematics, and ankle kinetics. These alterations led to improved summary metrics and required higher levels of motor control. Additionally, 50 % of the limbs achieved a first rocker in the best-walk condition.</div></div><div><h3>Conclusion</h3><div>Children with ITWp and a mild/moderate plantarflexor contracture were able to volitionally alter their gait pattern to a more foot flat pattern. Deviations from typically developing gait remained even with foot flat walking.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 333-338"},"PeriodicalIF":2.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of haptic cues on gait in people with Parkinson’s disease – A systematic review and meta-analysis","authors":"Shanshika P. Maddumage Dona ,&nbsp;Preetika B. Chand ,&nbsp;Catherine Haden ,&nbsp;Nadeesha Kalyani ,&nbsp;Alexander Lehn ,&nbsp;Karen Sullivan ,&nbsp;Graham K. Kerr","doi":"10.1016/j.gaitpost.2025.08.069","DOIUrl":"10.1016/j.gaitpost.2025.08.069","url":null,"abstract":"<div><h3>Background</h3><div>Haptic cueing to improve gait in people with Parkinson’s Disease (PD) is an emerging treatment approach of interest. This systematic review [PROSPERO CRD42023483230] aimed to critically appraise the available literature on the effectiveness of haptic cues on gait in people with PD.</div></div><div><h3>Methods</h3><div>Articles published from inception to May 2025 were searched in EMBASE, MEDLINE, APA PsycINFO, and CINAHL. Both randomized and non-randomized clinical trials that investigated the effects of haptic cues on gait parameters (stride length, gait velocity, cadence) in people with PD were included. Two reviewers independently selected articles, extracted data, and assessed the risk of bias (ROB) using the Downs and Black tool.</div></div><div><h3>Results</h3><div>Twenty-nine studies, including 661 participants with PD, were included. Four studies were randomized controlled trials (RCTs) with strong methodological quality, while the others were pre-post interventional studies. Three RCTs reported outcomes suitable for pooled analysis.</div></div><div><h3>Conclusions</h3><div>Results indicate that haptic cueing improves gait (mainly velocity and stride length), with some improvements noted in additional spatiotemporal parameters and freezing of gait. Despite positive findings, evidence is limited and more robust RCTs are required to verify the efficacy of haptic cues, particularly for sustained effects on gait.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 358-374"},"PeriodicalIF":2.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The application of antigravity treadmill training to clinical rehabilitation: A systematic review and meta-analysis","authors":"Jie Hao ,&nbsp;Zixuan Yao ,&nbsp;Andréas Remis ,&nbsp;Na Ye ,&nbsp;Yuxiao Sun ,&nbsp;Dongqi Zhu ,&nbsp;Kangchao Wu ,&nbsp;Yao Yao","doi":"10.1016/j.gaitpost.2025.08.065","DOIUrl":"10.1016/j.gaitpost.2025.08.065","url":null,"abstract":"<div><h3>Objective</h3><div>This systematic review and meta-analysis aims to identify, critically appraise, and summarize research regarding the application and effects of antigravity treadmills in clinical rehabilitation.</div></div><div><h3>Data sources</h3><div>Three databases, PubMed, Embase, and Scopus were searched from inception to May 1, 2024. Clinical trials assessing the effects of the antigravity treadmill training in clinical rehabilitation were eligible for inclusion.</div></div><div><h3>Methods</h3><div>Two independent reviewers conducted study selection, data extraction, and quality assessment. Methodological quality was assessed using the Physiotherapy Evidence Database scale and the National Institutes of Health Study Quality Assessment Tool. Meta-analyses were performed to determine the effects of the antigravity treadmill training on health-related outcomes.</div></div><div><h3>Results</h3><div>A total of 24 studies were included, comprising 15 randomized controlled trials and nine single-cohort clinical trials, with a combined sample of 682 patients. For neuromuscular conditions, antigravity treadmill training produced significant improvements in balance (SMD: 1.78, 95 % CI: 0.93–2.64, <em>p</em> &lt; 0.001) and gait speed (SMD: 0.90, 95 % CI: 0.10–1.70, <em>p</em> = 0.03). No significant difference was found in gait endurance (SMD: 0.41, 95 % CI: −0.02–0.83, <em>p</em> = 0.06). For musculoskeletal conditions, antigravity treadmill training resulted in significantly improved gait performance (SMD: 2.99, 95 % CI: 1.66–4.33, <em>p</em> = 0.006) and lower extremity function (SMD: 1.55, 95 % CI: 0.58–2.52, <em>p</em> = 0.002), and reduced pain (SMD: −1.59, 95 % CI: −2.39 to −0.79, <em>p</em> &lt; 0.001). Among the included studies, none reported any events related to antigravity treadmill training.</div></div><div><h3>Conclusion</h3><div>This review highlights the promising effects of the antigravity treadmill in augmenting clinical rehabilitation among patients with neuromuscular and musculoskeletal conditions. As an emerging rehabilitation technology, antigravity treadmill may improve function and support recovery in diverse patient populations.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 300-311"},"PeriodicalIF":2.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint contributions to lower limb range of motion: A simple means of exploring joint function","authors":"Ben Langley ,&nbsp;Steven Ross ,&nbsp;Matt Greig ,&nbsp;Richard Page","doi":"10.1016/j.gaitpost.2025.08.067","DOIUrl":"10.1016/j.gaitpost.2025.08.067","url":null,"abstract":"<div><h3>Background</h3><div>This paper proposes a novel means of quantifying lower limb function by exploring relative contributions to lower limb range of motion (RoM_LL).</div></div><div><h3>Research question</h3><div>Are joint contributions to RoM_LL sensitive, and associated with gait velocity and joint kinetics and energetics?</div></div><div><h3>Methods</h3><div>Sagittal plane hip, knee and ankle joint kinematics and kinetics, recorded using 3D motion capture, during walking and the propulsive phase of a drop vertical jump were used to calculate and explore relative joint contribution to RoM_LL (RoM_LL = sum hip, knee and ankle RoM). Sensitivity was assessed by comparing joint contributions to RoM_LL between healthy controls and patients pre and 3-months post total knee replacement during walking. Correlation analysis was used to explore the association between joint contributions to RoM_LL and walking velocity, and joint contributions to RoM_LL and total support moment, net power and total work during the propulsive phase of a drop jump.</div></div><div><h3>Results</h3><div>Patients displayed significantly (<em>p</em> ≤ .023) smaller knee joint contributions to RoM_LL compared to healthy controls during walking pre and post total knee replacement (TKR). No significant correlations (<em>rho</em> ≤.143; <em>p</em> ≥ .225) were reported between joint contributions to RoM_LL and walking velocity. Significant (<em>p</em> ≤ .004) correlations were reported between joint contribution to RoM_LL and net power (<em>r</em>_<em>rm</em> =.804) and total work (<em>r</em>_<em>rm</em> =.868) during the propulsive phase of a drop jump.</div></div><div><h3>Significance</h3><div>Relative joint contributions to RoM_LL offer a sensitive and easy means of exploring lower limb function.</div></div>","PeriodicalId":12496,"journal":{"name":"Gait & posture","volume":"122 ","pages":"Pages 326-332"},"PeriodicalIF":2.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}