Long term gait postural characteristics of children with general foot pain using smartphone connected wearable sensors

Whether children's general foot pain related to specific foot posture remains unknown. The aim of the study was to determine long-term dynamic foot posture characteristics in children with general foot pain using smartphone-connected wearable sensors. Over a 30-day period, 94 children (37 girls and 57 boys, mean age 9.3 years) completed the study. Children were grouped according to the recent history of foot pain during walking. Static rearfoot alignment was digitally measured. Long-term gait posture was collected using wearable sensors during 10 m of self-selected speed walking per day. There were 81 children in the asymptomatic group and 13 in the foot pain group. Static and gait parameters showed moderate to strong correlations between left and right, but only the left foot parameters showed group differences for foot pain. Increased static rearfoot angle (RA) and decreased coronal movement at toe-off (TOCP) of the left foot were significantly associated with foot pain (p < 0.05). This study demonstrates IMU-based identification of gait characteristics in children with foot pain, revealing associations with increased static rearfoot angle and reduced dynamic propulsion posture at coronal plane. These findings provide a foundation for developing IMU-based algorithms to predict musculoskeletal disorders in children, enabling early detection and intervention strategies.

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Publication Details

Journal
Scientific Reports
Published
2025-03-05
DOI
https://doi.org/10.1038/s41598-025-91374-5
Citations
1
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
Field-Weighted Citation Impact
0.67

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article

Long term gait postural characteristics of children with general foot pain using smartphone connected wearable sensors

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1 citations
Scientific Reports
Lower Extremity Biomechanics and Pathologies
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article

Long term gait postural characteristics of children with general foot pain using smartphone connected wearable sensors

Ziyu Feng, Xiaoling Peng, Minshan Feng, Jianyou Li, Liguo Zhu, F. K. Lin, Si-Yuan Xie, Wen Yuan, Wei Li, Yiwen Li, Chao Chen, Huajun Wang, Yikai Li, Ke Zhu, Chenfei Gao, K. Zhang
article en
1 citations

Abstract

Whether children's general foot pain related to specific foot posture remains unknown. The aim of the study was to determine long-term dynamic foot posture characteristics in children with general foot pain using smartphone-connected wearable sensors. Over a 30-day period, 94 children (37 girls and 57 boys, mean age 9.3 years) completed the study. Children were grouped according to the recent history of foot pain during walking. Static rearfoot alignment was digitally measured. Long-term gait posture was collected using wearable sensors during 10 m of self-selected speed walking per day. There were 81 children in the asymptomatic group and 13 in the foot pain group. Static and gait parameters showed moderate to strong correlations between left and right, but only the left foot parameters showed group differences for foot pain. Increased static rearfoot angle (RA) and decreased coronal movement at toe-off (TOCP) of the left foot were significantly associated with foot pain (p < 0.05). This study demonstrates IMU-based identification of gait characteristics in children with foot pain, revealing associations with increased static rearfoot angle and reduced dynamic propulsion posture at coronal plane. These findings provide a foundation for developing IMU-based algorithms to predict musculoskeletal disorders in children, enabling early detection and intervention strategies.

Scientific ReportsVol. 15(1)
Beijing Normal-Hong Kong Baptist University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Huzhou Normal University (CN), Nanfang Hospital (CN), Huzhou Central Hospital (CN), Wangjing Hospital of China Academy of Chinese Medical Sciences (CN), Shenzhen Pingle Orthopedic Hospital (CN), First Affiliated Hospital of Jinan University (CN), Southern Medical University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Sanming Project of Medicine in Shenzhen
Gender equality
Openalex Percentile: Top 34%
Lower Extremity Biomechanics and Pathologies
0.67
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