Diurnal variations in gait parameters among older adults with early-stage knee osteoarthritis: insights from wearable sensor technology

Knee osteoarthritis (KOA) significantly impairs mobility in older adults. Understanding its impact on gait dynamics throughout the day is crucial for optimizing management strategies. This study aimed to explore diurnal variations in gait parameters among older adults with KOA using an in-shoe motion sensor (IMS) system equipped with accelerometers and gyroscopes. In this cross-sectional observational study, 19 older adults clinically diagnosed with early-stage KOA (Kellgren-Lawrence grades 1 or 2) participated. Key gait parameters were measured using an IMS system during morning (6:00 AM-11:59 AM) and afternoon (12:00 PM-5:00 PM) sessions. The IMS, placed bilaterally in the participants' shoes, continuously collected gait data during normal daily activities over a 24-hour period. Participants were instructed to walk for at least 10 min in each session. Data were analyzed using descriptive statistics, and paired t-tests or Wilcoxon signed-rank tests were applied to identify significant differences between sessions. Statistical significance was set at p < 0.05. The study included 19 participants (11 females, 8 males) with an average age of 71.4 ± 4.2 years. Walking speed decreased significantly from 1.06 ± 0.14 m/s in the morning to 0.99 ± 0.16 m/s in the afternoon (p = 0.028). Similarly, the maximum dorsiflexion angle decreased from 20.34° ± 2.98° to 18.80° ± 3.01° (p = 0.024), and the maximum plantar flexion angle decreased from 63.40° ± 5.84° to 60.79° ± 5.77° (p = 0.017) in the afternoon. Other parameters such as foot height, peak swing angular velocity, and maximum speed during the swing phase also showed significant reductions in the afternoon. Conversely, the roll angle of heel contact increased from 4.60° ± 2.62° to 5.53° ± 3.12° (p = 0.026), and stance time and pushing time increased significantly in the afternoon. Significant diurnal variations in gait parameters among older adults with KOA highlight the importance of considering time of day when evaluating gait and planning interventions. Wearable sensor technology enables continuous, objective gait monitoring in real-world settings, facilitating personalized and time-sensitive approaches for managing KOA.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-07
DOI
https://doi.org/10.1038/s41598-025-91617-5
Citations
7
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
Field-Weighted Citation Impact
4.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diurnal variations in gait parameters among older adults with early-stage knee osteoarthritis: insights from wearable sensor technology

Anuradhi Bandara, Daiki Watanabe, H. Shimizu, Momoko Nagai‐Tanima et al.
7 citations
Scientific Reports
Lower Extremity Biomechanics and Pathologies
4.72
article

Diurnal variations in gait parameters among older adults with early-stage knee osteoarthritis: insights from wearable sensor technology

Anuradhi Bandara, Daiki Watanabe, H. Shimizu, Momoko Nagai‐Tanima, Shota Suzuki, K. Tanigawa, Tomoki Aoyama, Toyota Misa
article en
7 citations

Abstract

Knee osteoarthritis (KOA) significantly impairs mobility in older adults. Understanding its impact on gait dynamics throughout the day is crucial for optimizing management strategies. This study aimed to explore diurnal variations in gait parameters among older adults with KOA using an in-shoe motion sensor (IMS) system equipped with accelerometers and gyroscopes. In this cross-sectional observational study, 19 older adults clinically diagnosed with early-stage KOA (Kellgren-Lawrence grades 1 or 2) participated. Key gait parameters were measured using an IMS system during morning (6:00 AM-11:59 AM) and afternoon (12:00 PM-5:00 PM) sessions. The IMS, placed bilaterally in the participants' shoes, continuously collected gait data during normal daily activities over a 24-hour period. Participants were instructed to walk for at least 10 min in each session. Data were analyzed using descriptive statistics, and paired t-tests or Wilcoxon signed-rank tests were applied to identify significant differences between sessions. Statistical significance was set at p < 0.05. The study included 19 participants (11 females, 8 males) with an average age of 71.4 ± 4.2 years. Walking speed decreased significantly from 1.06 ± 0.14 m/s in the morning to 0.99 ± 0.16 m/s in the afternoon (p = 0.028). Similarly, the maximum dorsiflexion angle decreased from 20.34° ± 2.98° to 18.80° ± 3.01° (p = 0.024), and the maximum plantar flexion angle decreased from 63.40° ± 5.84° to 60.79° ± 5.77° (p = 0.017) in the afternoon. Other parameters such as foot height, peak swing angular velocity, and maximum speed during the swing phase also showed significant reductions in the afternoon. Conversely, the roll angle of heel contact increased from 4.60° ± 2.62° to 5.53° ± 3.12° (p = 0.026), and stance time and pushing time increased significantly in the afternoon. Significant diurnal variations in gait parameters among older adults with KOA highlight the importance of considering time of day when evaluating gait and planning interventions. Wearable sensor technology enables continuous, objective gait monitoring in real-world settings, facilitating personalized and time-sensitive approaches for managing KOA.

Scientific ReportsVol. 15(1)
Kyoto University (JP)
Good health and well-being
Openalex Percentile: Top 5%
Lower Extremity Biomechanics and Pathologies
4.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.