The Development of the Short-form of “25-Question Geriatric Locomotive Function Scale”
Yu Tanabe, Yoshiyuki Suehara, Yongji Kim, Shuko Nojiri, Taketo Okubo, Midori Ishii, Takayuki Kawasaki, Kiyoshi Matsuoka, Keisuke Akaike, Kenta Mukaihara, Naoko Okubo, Tsuyoshi Saito, Kazuo Kaneko
Journal of Advances in Medicine and Medical Research · pp. 1–13 · Published 21 Mar 2018
10.9734/JAMMR/2018/40196Abstract
Objectives: In 2007, the Japanese Orthopaedic Association (JOA) proposed the term “locomotive syndrome” (LS) to describe a condition in high-risk musculoskeletal disease patients who are highly likely to require nursing care. The JOA developed a screening tool, the 25-question Geriatric Locomotive Function Scale “GLFS-25” and the 5-question Geriatric Locomotive Function Scale “GLFS-5” in 2012. However, there are some issues about these screening tools. GLFS-25 has 25 questions, and complete response is needed to diagnose LS, but our previous studies revealed that the complete response rates were extremely low (50-70%). GLFS-5 which has only 5 questions and it can only screen Normal and LS, but it can’t classify Grade 1 LS and Grade 2 LS. We thought we need short-form of GLFS-25 which is easier than GLFS-25 and more accurate than GLFS-5. Methods: We developed a short-form of GLFS-25 by performing an exploratory/explanatory factor analysis (EFA) of approximately 1000 orthopaedic outpatients. We also performed confirmation studies in an additional cohort using an item response theory (IRT) analysis, a principal component analysis (PCA) and a receiver operating characteristic (ROC) analysis. Results: We used an EFA to develop a short-form of GLFS-25 (GLFS-9), which consisted of 9 questions that were included in the GLFS-25. These 9 items were graded on the 5-point scale; the total score (0–36) was used to diagnose patients with Grade 1 LS (3–5 points) or Grade 2 LS (≥6 points) LS; while No-LS (normal) was defined by a score of ≤2 points. The ability of GLFS-9 to predict LS was confirmed by an IRT analysis, a PCA, and an ROC analysis. Conclusion: We developed the GLFS-9 which can classify Grade 1 LS and Grade 2 LS, a short-form of the GLFS-25. We believe that the GLFS-9 may allow for the more accessible screening and prevention of LS.
Cited by 10
M. M. Ivaniuk, M. A. Kabalyk, P. V. Gorokhovskaya · Pacific Medical Journal · 2025
Chaochen Wang, Tatsunori Ikemoto, Atsuhiko Hirasawa · PeerJ · 2020
Hamid Taghinejad, Elham Mohammadyari, Hamed Tavan · Heliyon · 2023
Takuya Kawahara, Keiko Yamada, Ryohei Terashima · BMJ Open · 2022
Inthira Roopsawang, Suparb Aree-Ue, Surinrat Baurangthienthong · Geriatrics · 2022
Takaomi Kobayashi, Tadatsugu Morimoto, Koji Otani · Journal of Orthopaedic Science · 2022
Takaomi Kobayashi, Tadatsugu Morimoto, Chisato Shimanoe · Journal of Orthopaedic Science · 2022
Takaomi Kobayashi, Tadatsugu Morimoto, Chisato Shimanoe · Journal of Orthopaedic Science · 2022
Jessica Anelise Parreira Alves, Daniela Regina Brandao Tavares, Jane Erika Frazao Okazaki · einstein (São Paulo) · 2022
Showing 9 of 10 known citations — external sources report more than can currently be individually listed.
Related research
- The Importance of Chronic Musculoskeletal Pain as a Factor Associated with Locomotive Syndrome in the Elderly — shares topic coverage
- A Comparative Study of 2 Screening Tools for Locomotive Syndrome (The “Loco-check” and the “GLFS-25”): An Orthopedic Outpatient-based Survey — shares topic coverage
- An Outpatient-based Survey on the Recognition of Locomotive Syndrome in Japan: The Results of three Years of Surveys — shares topic coverage
- The Recognition of Locomotive Syndrome in 2014: A Cross-Sectional Study in the Orthopeadic Outpatients in Tokyo — shares topic coverage
- An Outpatient-based Survey about the Recognition of Locomotive Syndrome and the Results of the Loco-check at a University Hospital in Tokyo — shares topic coverage
Article metrics
Real usage data collected on this platform.
8
Page views
0
PDF downloads
0
Outbound clicks
10
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.