Spatiotemporal and kinematic gait characteristics in older patients with type 2 diabetes mellitus with and without sarcopenia

To investigate the differences in gait characteristics between older patients with type 2 diabetes with and without sarcopenia, using a three-dimensional motion analysis system. This cross-sectional study included 38 patients with type 2 diabetes aged ≥ 65 years and capable of independently performing activities of daily living. Participants' demographic data, spatiotemporal gait parameters, and ranges of motion of the pelvis, hip, knee, and ankle joints during a gait cycle were collected. The participants were classified into sarcopenic (n = 15) and non-sarcopenic (n = 23) groups and compared. Significant reductions in walking speed, shorter stride lengths, longer stride time, stance and double support times, and decreased cadence were observed in participants with sarcopenia. In addition, participants with sarcopenia exhibited a significantly smaller range of motion for ankle joint plantar dorsiflexion. In patients with type 2 diabetes, gait characteristics differ depending on the presence or absence of sarcopenia. These findings may contribute to the development of new qualitative assessment methods to facilitate the timely detection of sarcopenia in this patient population.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-27
DOI
https://doi.org/10.1038/s41598-025-00205-0
Citations
1
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
1.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal and kinematic gait characteristics in older patients with type 2 diabetes mellitus with and without sarcopenia

Wakako Tsuchida, Shoma Kudo, Hitomi Imachi, Takanobu Saheki et al.
1 citations
Scientific Reports
Nutrition and Health in Aging
1.16
article

Spatiotemporal and kinematic gait characteristics in older patients with type 2 diabetes mellitus with and without sarcopenia

Wakako Tsuchida, Shoma Kudo, Hitomi Imachi, Takanobu Saheki, Tomotaka Manabe, Toshihiro Kobayashi, Kohei Kido, Koji Murao, Takafumi Yoshimura, Takuma Inai, Masahiro Fujimoto, Kensaku Fukunaga
article en
1 citations

Abstract

To investigate the differences in gait characteristics between older patients with type 2 diabetes with and without sarcopenia, using a three-dimensional motion analysis system. This cross-sectional study included 38 patients with type 2 diabetes aged ≥ 65 years and capable of independently performing activities of daily living. Participants' demographic data, spatiotemporal gait parameters, and ranges of motion of the pelvis, hip, knee, and ankle joints during a gait cycle were collected. The participants were classified into sarcopenic (n = 15) and non-sarcopenic (n = 23) groups and compared. Significant reductions in walking speed, shorter stride lengths, longer stride time, stance and double support times, and decreased cadence were observed in participants with sarcopenia. In addition, participants with sarcopenia exhibited a significantly smaller range of motion for ankle joint plantar dorsiflexion. In patients with type 2 diabetes, gait characteristics differ depending on the presence or absence of sarcopenia. These findings may contribute to the development of new qualitative assessment methods to facilitate the timely detection of sarcopenia in this patient population.

Scientific ReportsVol. 15(1)
Kagawa University (JP), Kagawa University Hospital (JP), National Institute of Technology, Kagawa College (JP), National Institute of Advanced Industrial Science and Technology (JP)
National Institute of Advanced Industrial Science and Technology
Good health and well-being
Openalex Percentile: Top 22%
Nutrition and Health in Aging
1.16
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.