Association between Abnormal Gait Patterns and an Elevated Degree of Pain after Daily Walking: A Preliminary Study
Shogo Misu,
Tsuyoshi Asai,
Shunsuke Murata,
Ryo Nakamura,
Tsunenori Isa,
Yamato Tsuboi,
Kensuke Oshima,
Shota Koyama,
Ryuichi Sawa,
Yoshihiro Fukumoto and
Rei Ono
Additional contact information
Shogo Misu: Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women’s University, 6-2-13, Morikita-machi, Higashinada-ku, Kobe 658-0001, Japan
Tsuyoshi Asai: Faculty of Rehabilitation, Kansai Medical University, 18-89 Uyamahigashicho, Hirakata 573-1136, Japan
Shunsuke Murata: Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, 7-10-2, Tomogaoka, Suma-ku, Kobe 654-0142, Japan
Ryo Nakamura: Visiting Nursing Station Sakura, 9-17, Kawanishi-cho, Nishinomiya 662-0951, Japan
Tsunenori Isa: Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, 7-10-2, Tomogaoka, Suma-ku, Kobe 654-0142, Japan
Yamato Tsuboi: Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, 7-10-2, Tomogaoka, Suma-ku, Kobe 654-0142, Japan
Kensuke Oshima: Everehab, Inc., 46 Kamitakanonakamachi, Sakyo-ku, Kyoto 606-0044, Japan
Shota Koyama: Department of Rehabilitation, Saiseikai Hyogoken Hospital, 5-1-1, Fujiwaradainakamachi, Kita-ku, Kobe 651-1302, Japan
Ryuichi Sawa: Department of Physical Therapy, Faculty of Health Science, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Yoshihiro Fukumoto: Faculty of Rehabilitation, Kansai Medical University, 18-89 Uyamahigashicho, Hirakata 573-1136, Japan
Rei Ono: Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, 7-10-2, Tomogaoka, Suma-ku, Kobe 654-0142, Japan
IJERPH, 2022, vol. 19, issue 5, 1-8
Abstract:
This study aimed to investigate whether abnormal gait patterns are associated with experiencing an elevated degree of pain after daily walking. In this preliminary, cross-sectional study, 223 community-dwelling older adults were assessed for pain experienced after daily walking using a simple question that involved asking the subject about their past experiences of an elevated degree of pain after walking for 400 m or more. Gait patterns were assessed using the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score), derived from the data measured by Inertial sensors attached to the lower trunk and heel when subjects walked along a 15 m walkway at a self-selected preferred speed. The score was the sum of 10 gait parameter scores. The lower scores indicated more and worse abnormal gait patterns. In total, 24 older adults (10.8%) reported that they experienced pain after daily walking. According to the multiple logistic regression analyses, older adults with a lower total C-GAITS score had a significantly greater probability of having past experiences of pain after walking (odds ratio = 1.11, 95% confidence interval = 1.03–1.20). The findings of this study suggest that more and worse abnormal gait patterns among older adults in a clinical walking test are associated with an elevated degree of pain after daily walking.
Keywords: gait; pain after walking; inertial sensor; acceleration; older adults (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/5/2842/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/5/2842/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:5:p:2842-:d:761491
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().