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J Orthop Sci ; 21(3): 366-72, 2016 May.
Article in English | MEDLINE | ID: mdl-27021251

ABSTRACT

OBJECTIVES: To comprehensively investigate the clinical and physical factors associating with locomotive syndrome (Loc-S); the locomotorium-disability for daily life. METHODS: 647 volunteers participated (247 males, 400 females, Age: 58.4 ± 11.0, BMI: 22.5 ± 3.3). Three self-assessment questionnaires were administered: 1) "25-question Geriatric Locomotive Function Scale" (GFLS-25) for evaluating Loc-S (GLFS-25 ≥ 16 defined as Loc-S); 2) "diagnostic support tool for LSS" (LSS-DST) for evaluating the prevalence of lumbar spinal stenosis (LSS); 3) Knee injury and Osteoarthritis Outcome Score (KOOS). Plain radiographs of the bilateral knees and lumbar spine were evaluated, and the severity of lumbar spondylosis (LS) and knee osteoarthritis (KOA) defined by Kellgren-Lawrence grade. Bone status was evaluated by using the osteo-sono assessment index (OSI) at the calcaneus. Isometric muscle strength of trunk and leg (Nm/kg, both extension and flexion) were evaluated. Linear regression analysis was performed to elucidate the factors concerned with GFLS-25 including age, sex, and BMI. RESULTS: Thirty-nine subjects (6.0%, 13 males, 26 females) were defined as having Loc-S. Single regression model showed that age, height, BMI, skeletal muscle mass, OSI, LSS, KOOS, the severity of LS and KOA, and trunk- and leg-muscle strength were correlated with the degree of GLFS-25. Stepwise multiple regression model showed that sex, height, LSS, KOOS, the severity of LS, and back muscle strength were significantly correlated with that of GLFS-25. CONCLUSION: In this cross-sectional study, pain status associated with LSS and knee joint, structural severity for LS, and back muscle strength primarily affected the degree of GFLS-25. For managing Loc-S, we must pay more intensive attention to these factors.


Subject(s)
Arthralgia/epidemiology , Low Back Pain/epidemiology , Mobility Limitation , Muscle Strength/physiology , Spinal Stenosis/epidemiology , Spondylosis/epidemiology , Age Distribution , Aged , Aging/physiology , Arthralgia/diagnosis , Back Muscles/physiology , Comorbidity , Cross-Sectional Studies , Female , Humans , Incidence , Japan , Knee Joint/physiopathology , Linear Models , Low Back Pain/diagnosis , Lumbar Vertebrae , Male , Middle Aged , Multivariate Analysis , Quality of Life , Rural Population , Severity of Illness Index , Sex Distribution , Spinal Stenosis/diagnostic imaging , Spinal Stenosis/physiopathology , Spondylosis/diagnostic imaging , Syndrome
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