Locomotive syndrome in rheumatoid arthritis patients during the COVID-19 pandemic.

This study aimed to longitudinally evaluate the development of locomotive syndrome (LS) in rheumatoid arthritis (RA) patients during the COVID-19 pandemic using the 25-question Geriatric Locomotive Function Scale (GLFS-25). Subjects were 286 RA patients (female, 70.6%; mean age, 64.2 years) who had GLFS-25 and Clinical Disease Activity Index (CDAI) data available for a 1-year period during the COVID-19 pandemic and who did not have LS at baseline. Associations between subject characteristics and development of LS were determined using logistic regression analysis. Among the 286 patients, 38 (13.3%, LS group) developed LS at 1 year after baseline. In the LS group, scores of the GLFS-25 categories "GLFS-5" and "Social activities" were significantly increased at 1 year relative to baseline. GLFS-5 is a quick 5-item version of the GLFS-25, including questions regarding the difficulty of going up and down stairs, walking briskly, distance able to walk without rest, difficulty carrying objects weighing 2 kg, and ability to carry out load-bearing tasks and housework. A significant correlation was also observed between changes in "Social activities" and that of "GLFS-5." Multivariable logistic regression analysis revealed that the development of LS was significantly associated with BMI (OR: 1.11 [95% confidence interval (CI): 1.00-1.22]) and CDAI (OR: 1.08 [95%CI: 1.00-1.16]) at baseline. Adequate exercise and tight control of RA disease activity are important for preventing the development of LS in view of restrictions on going out imposed during the COVID-19 pandemic. GLFS-5 is useful for evaluating the physical function of RA patients.

Development of locomotive syndrome in elderly population after COVID-19 outbreak: A population-based cross-sectional study with over 12,000 participants.

BACKGROUND: Restrictions during the coronavirus disease 2019 (COVID-19) pandemic have decreased physical activity levels, which may result in locomotive syndrome. This study evaluated the change in locomotive syndrome prevalence and associated risk factors among an elderly population before and after a coronavirus outbreak. METHODS: This written self-administered cross-sectional survey was conducted in conjunction with the coronavirus disease vaccination program in Habikino City, Japan. Participants who were aged ≥65 years completed the five-question Geriatric Locomotive Function Scale before and during the pandemic. The diagnosis of locomotive syndrome and its stage was based on the Geriatric Locomotive Function Scale score: stage 1 (2-3 points), 2 (4-5 points), and 3 (≥6 points). Data on lifestyle changes, including regular exercise, during the pandemic were collected. RESULTS: This study included 12,197 participants (36.7% of the city's total elderly residents). The prevalence of locomotive syndrome increased from 41.3% to 47.1% after the outbreak. In total, 765 (6.3% of overall population) and 295 (9.5% of the participants who had stages 1-2 before the pandemic) participants developed locomotive syndrome and stage 3 locomotive syndrome, respectively. The multivariate logistic regression analysis indicated that a decrease in exercise was significantly associated with the onset of locomotive syndrome (all stages) (odds ratio = 2.5, p < 0.001) and locomotive syndrome stage 3 (odds ratio = 2.6, p < 0.001). CONCLUSIONS: Extrapolation of the study's findings to the entire population of Japan suggests that approximately 2 million elderly individuals might develop locomotive syndrome after the coronavirus outbreak. Additionally, 10% of the participants with mild-moderate locomotive syndrome before the pandemic may develop severe locomotive syndrome after the outbreak. The greatest risk factor for new-onset or worsening locomotive syndrome was a decrease in daily exercise. Thus, there is an urgent need for adequate exercise guidelines during the coronavirus pandemic, especially for the elderly population.

Reductions in the Frequency of Going Out Due to the COVID-19 Pandemic Negatively Affect Patients with Spinal Disorders.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has greatly changed the lifestyles of individuals due to the need to prevent disease spread. Globally, governments have enforced various policies, including travel bans, quarantine, home confinement, and lockdowns, as safety measures. Consequently, the frequency of individuals going out has decreased. This survey aimed to assess how decreasing the frequency of going out due to the COVID-19 pandemic impacts patients with spinal disorders. METHODS: This multicenter cross-sectional questionnaire survey included patients who visited four private spine clinics for any symptoms. Participants completed questionnaires pre- and post-pandemic that assessed the following topics: frequency of leaving home, exercise habits, locomotive syndrome, and health-related quality of life (HRQOL). Patients were divided into decreased and non-decreased frequency of going out groups, according to observed changes in their frequencies of leaving home. Both groups were statistically compared using univariate and multivariate logistic regression analyses to identify factors associated with the frequency of going out. RESULTS: Among 855 patients, 160 (18.7%; the decreased group) reported that they went out less frequently, and 695 (81.3%; the non-decreased group) reported that they left home equally frequently post- versus pre-pandemic. Multivariate analyses showed that exercise habits significantly decreased (adjusted odds ratio (aOR) = 2.67, p = 0.004), the incidence of locomotive syndrome significantly increased (aOR = 2.86, p = 0.012), and HRQOL significantly deteriorated (aOR = 4.14, p < 0.001) in the decreased group compared to the non-decreased group. CONCLUSIONS: Restrictions regarding leaving home due to the COVID-19 pandemic significantly decreased exercise frequency, increased the occurrence of locomotive syndrome, and were associated with deterioration of HRQOL in patients with spine disorders. It may be beneficial for spine surgeons to encourage patients with spinal disorders to leave home at a frequency similar to what they did pre-pandemic while avoiding crowded areas, despite the presence of the COVID-19 pandemic.

Impact of the COVID-19 pandemic on the development of locomotive syndrome.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has affected people in various ways, including restricting their mobility and depriving them of exercise opportunities. Such circumstances can trigger locomotor deterioration and impairment, which is known as locomotive syndrome. The purpose of this study was to investigate the incidence of locomotive syndrome in the pandemic and to identify its risk factors. Methods: This was a multicenter questionnaire survey performed between 1 November 2020 and 31 December 2020 in Japan. Patients who visited the orthopedics clinic were asked to answer a questionnaire about their symptoms, exercise habits, and locomotor function at two time points, namely, pre-pandemic and post-second wave (current). The incidence of locomotive syndrome in the COVID-19 pandemic was investigated. Additionally, multiple logistic regression analysis was used to identify the risk factors for developing locomotive syndrome during the pandemic. Results: A total of 2829 patients were enrolled in this study (average age: 61.1 ± 17.1 years; 1532 women). The prevalence of locomotive syndrome was 30% pre-pandemic, which increased significantly to 50% intra-pandemic. Among the patients with no symptoms of locomotive syndrome, 30% developed it in the wake of the pandemic. In the multinomial logistic regression analysis, older age, deteriorated or newly occurring symptoms of musculoskeletal disorders, complaints about the spine or hip/knee joints, and no or decreased exercise habits were independent risk factors for developing locomotive syndrome. Conclusions: The prevalence of locomotive syndrome in patients with musculoskeletal disorders has increased during the COVID-19 pandemic. In addition to age, locomotor symptoms, especially spine or hip/knee joint complaints, and exercise habits were associated with the development of locomotive syndrome. Although the control of infection is a priority, the treatment of musculoskeletal disorders and ensuring exercise habits are also essential issues to address during a pandemic such as COVID-19.

Feature Selection and Validation of a Machine Learning-Based Lower Limb Risk Assessment Tool: A Feasibility Study.

Early and self-identification of locomotive degradation facilitates us with awareness and motivation to prevent further deterioration. We propose the usage of nine squat and four one-leg standing exercise features as input parameters to Machine Learning (ML) classifiers in order to perform lower limb skill assessment. The significance of this approach is that it does not demand manpower and infrastructure, unlike traditional methods. We base the output layer of the classifiers on the Short Test Battery Locomotive Syndrome (STBLS) test used to detect Locomotive Syndrome (LS) approved by the Japanese Orthopedic Association (JOA). We obtained three assessment scores by using this test, namely sit-stand, 2-stride, and Geriatric Locomotive Function Scale (GLFS-25). We tested two ML methods, namely an Artificial Neural Network (ANN) comprised of two hidden layers with six nodes per layer configured with Rectified-Linear-Unit (ReLU) activation function and a Random Forest (RF) regressor with number of estimators varied from 5 to 100. We could predict the stand-up and 2-stride scores of the STBLS test with correlation of 0.59 and 0.76 between the real and predicted data, respectively, by using the ANN. The best accuracies (R-squared values) obtained through the RF regressor were 0.86, 0.79, and 0.73 for stand-up, 2-stride, and GLFS-25 scores, respectively.