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Original Article
- Preliminary Reference Values for Dual-Task Gait Performance and Data-Driven Gait Profiles Across the Lifespan in Healthy Korean Adults
- Bora Jin, Seungho Lee, Sang-Myung Cheon
- Received April 5, 2026 Accepted August 18, 2026 Published online August 18, 2026
- DOI: https://doi.org/10.14802/jmd.26105 [Accepted]
- 213 View
- 16 Download
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Abstract
PDF - Objectives
Understanding normal gait characteristics is fundamental for characterizing disease-specific gait alterations. This study aimed to evaluate age-related differences in gait across various task conditions and identify data-driven gait profiles based on dual-task vulnerability in healthy Korean adults.
Methods
A cross-sectional gait assessment was conducted using GAITRite® under four conditions: preferred speed, serial sevens subtraction, cell phone use, and backward walking. Gait parameters were categorized into five domains: pace, variability, rhythm, asymmetry, and postural control. Participants were stratified into younger (<60 years) and older adults (≥60 years). Latent profile analysis (LPA) was performed using the dual-task cost variables to identify data-driven gait profiles.
Results
Ninety-eight healthy adults (aged 23–87 years) were analyzed. Age-related differences were most pronounced during cell phone use, which was supported by significant age × task interaction effects across the pace, variability, rhythm, and postural control domains (pfdr < 0.05). LPA identified three profiles: Pace-Preserved (Pa-P), Asymmetry-Dominant (Asym-D), and Postural control-Dominant (Pc-D). Younger adults were evenly distributed across the profiles, whereas older adults were predominantly classified into the Asym-D and Pc-D profiles. The Asym-D profile, characterized by the highest mean age, exhibited numerically lower cognitive scores, particularly in the visuospatial domain.
Conclusions
Regardless of chronological age groups and data-driven profiles, dual-task gait interference was most pronounced in the cognitive-motor dual-task condition. Data-driven profiling also identified a subgroup characterized by gait asymmetry, older age, and lower cognitive scores, suggesting a potentially distinct cognitive-motor pattern that warrants longitudinal investigation. These preliminary reference values provide a valuable foundation for the identification of pathological gait patterns in clinical populations.
Letter to the editor
- Patient-Perceived Response to Medical Treatment for Hemifacial Spasm
- Su Hyeon Ha, Seoyeon Kim, Seungmin Lee, Bora Jin, Kyung Ah Woo, Jung Hwan Shin, Han-Joon Kim
- J Mov Disord. 2026;19(1):114-116. Published online October 28, 2025
- DOI: https://doi.org/10.14802/jmd.25248
- 1,334 View
- 42 Download
Brief communication
- Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson’s Disease: Video-Based Analysis From a Single Camera
- HoYoung Jeon, Jung Hwan Shin, Ri Yu, Min Kyung Kang, Seungmin Lee, Seoyeon Kim, Bora Jin, Kyung Ah Woo, Han-Joon Kim, Beomseok Jeon
- J Mov Disord. 2025;18(1):87-92. Published online December 23, 2024
- DOI: https://doi.org/10.14802/jmd.24210
- 5,145 View
- 143 Download
- 2 Web of Science
- 3 Crossref
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Abstract
PDF
Supplementary Material - Objective
This study aims to objectively evaluate turning gait parameters in Parkinson’s disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.
Methods
We prospectively enrolled PD patients for clinical assessment, balance analysis and gait with 180º turning. Spatiotemporal gait parameters during turning were derived using video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.
Results
A total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, greater numbers of steps, wider step bases and less variability in step length during turns. COP oscillations were positively correlated with the mean turning time on both the anterior-posterior and right-left axes.
Conclusion
Spatiotemporal gait parameter during turning, derived from video-based gait analysis, may represent apromising biomarker for monitoring postural instability in PD patients. -
Citations
Citations to this article as recorded by
- Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors
Francesco Castelli Gattinara Di Zubiena, Alessandro Zampogna, Martina Patera, Giovanni Cusolito, Ludovica Apa, Ilaria Mileti, Antonio Cannuli, Antonio Suppa, Marco Paoloni, Zaccaria Del Prete, Eduardo Palermo
Sensors.2025; 25(16): 5054. CrossRef - Gait Patterns and Balance Impairment in Parkinson’s Disease With Correlation to Disease Severity
Danyeong Kim, Da-Eun Jeong, Hyunkyung Yi, Min Ju Kang
Dementia and Neurocognitive Disorders.2025; 24(4): 259. CrossRef - Clinical and neuroimaging correlates of disease related gait patterns in patients with multiple system atrophy cerebellar type
Seungmin Lee, Minchul Kim, Kyu Sung Choi, Chanhee Jeong, Ri Yu, Jee-Young Lee, Jung Hwan Shin, Han-Joon Kim, Beomseok Jeon
Scientific Reports.2025;[Epub] CrossRef
- Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors
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