{"title":"The hip adduction moment as a proxy for joint loading: a comparison between walking and running","authors":"Ransi S.S. Subasinghe Arachchige , Torrance Mclean , Roy T.H. Cheung","doi":"10.1016/j.jbiomech.2026.113200","DOIUrl":null,"url":null,"abstract":"<div><div>Hip adduction moment (HAM) is commonly used as a surrogate for hip joint loading; however, its validity across different gait tasks and modifications remains unclear. Understanding how gait modification influences this relationship is essential for developing effective load-management strategies for individuals with or at risk of hip osteoarthritis. This study examined the relationship between HAM and hip joint reaction force (HJRF) during walking and running under natural and foot progression modification conditions in healthy adults. Musculoskeletal modelling in OpenSim was used to estimate HJRF, and inverse dynamics were applied to calculate HAM. Spearman’s correlation coefficients were used to assess the relationship between HAM and HJRF across gait conditions. Paired t-tests and linear mixed models, accounting for speed where applicable, assessed differences between natural and modified gait.</div><div>During walking, early stance HAM was strongly correlated with HJRF in both natural (ρ = 0.923, p < 0.001) and toe-in conditions (ρ = 0.851, p < 0.001). Toe-in walking significantly reduced HAM (p = 0.017) and HJRF (p = 0.037) compared to natural walking. During running, peak HAM had lower but significant correlation with HJRF in the natural condition (ρ = 0.703, p < 0.001), but no significant association was observed during toe-out running (p = 0.065). Toe-out running significantly decreased HAM (p = 0.006) while HJRF remained unchanged (p = 0.941). Gait modification influences the coupling between HAM and HJRF, particularly during dynamic tasks such as running. While HAM is a valid indicator of hip loading during walking, it becomes less representative under altered dynamic conditions. These findings highlight the limitations of using single-plane moments as a surrogate for joint loading.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"198 ","pages":"Article 113200"},"PeriodicalIF":2.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021929026000552","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Hip adduction moment (HAM) is commonly used as a surrogate for hip joint loading; however, its validity across different gait tasks and modifications remains unclear. Understanding how gait modification influences this relationship is essential for developing effective load-management strategies for individuals with or at risk of hip osteoarthritis. This study examined the relationship between HAM and hip joint reaction force (HJRF) during walking and running under natural and foot progression modification conditions in healthy adults. Musculoskeletal modelling in OpenSim was used to estimate HJRF, and inverse dynamics were applied to calculate HAM. Spearman’s correlation coefficients were used to assess the relationship between HAM and HJRF across gait conditions. Paired t-tests and linear mixed models, accounting for speed where applicable, assessed differences between natural and modified gait.
During walking, early stance HAM was strongly correlated with HJRF in both natural (ρ = 0.923, p < 0.001) and toe-in conditions (ρ = 0.851, p < 0.001). Toe-in walking significantly reduced HAM (p = 0.017) and HJRF (p = 0.037) compared to natural walking. During running, peak HAM had lower but significant correlation with HJRF in the natural condition (ρ = 0.703, p < 0.001), but no significant association was observed during toe-out running (p = 0.065). Toe-out running significantly decreased HAM (p = 0.006) while HJRF remained unchanged (p = 0.941). Gait modification influences the coupling between HAM and HJRF, particularly during dynamic tasks such as running. While HAM is a valid indicator of hip loading during walking, it becomes less representative under altered dynamic conditions. These findings highlight the limitations of using single-plane moments as a surrogate for joint loading.
髋关节内收力矩(HAM)通常被用作髋关节负荷的替代物;然而,其有效性在不同的步态任务和修改仍然不清楚。了解步态改变如何影响这种关系对于为患有或有髋关节骨关节炎风险的个体制定有效的负荷管理策略至关重要。本研究探讨了健康成人在自然和足部进展改变条件下行走和跑步时HAM与髋关节反作用力(HJRF)的关系。利用OpenSim中的肌肉骨骼模型估计HJRF,并利用逆动力学计算HAM。采用Spearman相关系数评估HAM和HJRF在不同步态条件下的关系。配对t检验和线性混合模型,在适用的情况下考虑速度,评估自然步态和改良步态之间的差异。在步行过程中,早站位HAM与HJRF在两种自然状态下均呈强相关(ρ = 0.923, p
期刊介绍:
The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted, and the journal accepts original articles, surveys and perspective articles (usually by Editorial invitation only), book reviews and letters to the Editor. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership.
Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to:
-Fundamental Topics - Biomechanics of the musculoskeletal, cardiovascular, and respiratory systems, mechanics of hard and soft tissues, biofluid mechanics, mechanics of prostheses and implant-tissue interfaces, mechanics of cells.
-Cardiovascular and Respiratory Biomechanics - Mechanics of blood-flow, air-flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions.
-Cell Biomechanics - Biomechanic analyses of cells, membranes and sub-cellular structures; the relationship of the mechanical environment to cell and tissue response.
-Dental Biomechanics - Design and analysis of dental tissues and prostheses, mechanics of chewing.
-Functional Tissue Engineering - The role of biomechanical factors in engineered tissue replacements and regenerative medicine.
-Injury Biomechanics - Mechanics of impact and trauma, dynamics of man-machine interaction.
-Molecular Biomechanics - Mechanical analyses of biomolecules.
-Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints, wear of natural and artificial joints.
-Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics.
-Sports Biomechanics - Mechanical analyses of sports performance.