Prevalence and associated factors of locomotive syndrome in young Japanese adults: a cross-sectional study.

BACKGROUND: The onset of locomotive syndrome (LS) precedes that of frailty. Therefore, the first step in extending healthy life expectancy is to implement measures against LS in young adults. The aim of this study was to investigate the prevalence of LS and its associated factors in young adults for early detection and prevention of LS. METHODS: The participants of this study comprised 413 university students specializing in health sciences (192 males and 221 females) with an average age of 19.1 ± 1.2 years. All participants voluntarily participated in the study and reported no serious health problems. The presence or absence of LS was evaluated using the stand-up test, two-step test, and the 25-question Geriatric Locomotive Function Scale. Additionally, musculoskeletal assessment (one-leg standing, squatting, shoulder elevation, and standing forward bend), body composition analysis (weight, body mass index, body fat mass, body fat percentage, skeletal muscle mass index (SMI), and phase angle), handgrip strength test, physical activity assessment, and nutritional assessment were conducted. Sex-stratified analyses were performed, comparing groups with and without LS. Factors associated with LS were explored using binomial logistic regression. RESULTS: Of the 413 young adults studied, 86 individuals (20.8%) were found to have LS. When stratified by sex, LS was observed to have a considerably higher prevalence in females (55, 24.9%) than in males (31, 16.1%). In males, the notable differences between the groups with and without LS were observed in one-leg standing and phase angle, whereas in females, differences were identified in body fat mass, body fat percentage, SMI, musculoskeletal pain, and handgrip strength. Two types of binomial logistic regression analysis revealed that the inability to perform one-leg standing was associated with LS in males, while the presence of musculoskeletal pain and a high body fat percentage were identified as factors associated with LS in females. CONCLUSIONS: One in five young adults were found to have LS in this study, underscoring the necessity for early intervention and LS health education. Furthermore, effective management of musculoskeletal pain is also crucial.

Risk factors for progression of the severity of locomotive syndrome: A two-year longitudinal observational study.

BACKGROUND: The risk factors for progression of severity of locomotive syndrome (LS) remain unclear. METHODS: We conducted a longitudinal observational study of 1148 community-dwelling residents (median age, 68.0 years old; 548 males, 600 females) from 2016 to 2018. LS was assessed by the 25-question Geriatric Locomotive Function Scale (GLFS-25), and total scores of ≤6 points, 7-15 points, 16-23 points, and ≥24 points were diagnosed as non-LS, LS-1, LS-2, and LS-3, respectively. If the LS severity in 2018 was higher than in 2016, the case was defined as progression of LS severity; otherwise, it was defined as non-progressive LS. We compared the age, gender, body mass index, smoking status, alcohol consumption, living situation, car use, chronic musculoskeletal pain, comorbidities, metabolic syndrome, physical activity, and LS severity in 2016 between the progression and non-progression groups. Furthermore, a multivariate logistic regression analysis was performed to elucidate the risk factors for progression of LS severity. RESULTS: Participants in the progression group had a significantly older age, a lower rate of car use, a higher rate of low back pain, a higher rate of hip pain, a higher rate of knee pain, a higher GLFS-25 total score, and a higher rate of LS-2 than those in the non-progression group. The multivariate logistic regression analysis revealed that older age, female gender, higher body mass index (≥25.0 kg/m2), presence of low back pain, and presence of hip pain were risk factors for the progression of LS within two years. CONCLUSIONS: To prevent the progression of LS severity, related prophylaxis strategies should be implemented, especially for individuals with the above-mentioned characteristics. Further longitudinal studies with a longer observation period are necessary.

Relationship between frailty and locomotive syndrome in older patients with degenerative cervical myelopathy: A retrospective longitudinal study.

BACKGROUND: The management of degenerative cervical myelopathy (DCM), which often impairs lower extremity function and increases the risk of falls, is gaining recognition for its importance in an aging society. Despite the significant overlap between frailty and locomotive syndrome (LS) in older adults, their interaction in older DCM patients remains unclear. We aimed to determine the characteristics of older DCM patients with frailty, focusing on the association between frailty and LS. METHODS: We retrospectively examined the clinical records and imaging data of consecutive patients aged 65 years and above who underwent surgery for DCM at a single facility. Frailty and LS stage were diagnosed using the modified frailty index-11 and the 25-question Geriatric Locomotive Function Scale (GLFS-25), respectively. RESULTS: A total of 114 subjects were analyzed, among whom approximately 30% were diagnosed with frailty. DCM patients with frailty had significantly worse Japanese Orthopaedic Association Cervical Myelopathy Assessment Questionnaire (JOACMEQ) and GLFS-25 scores at baseline than did those without frailty. Moreover, DCM patients with frailty had significantly more advanced LS stage at baseline than did those without frailty. Meanwhile, no significant difference in the improvement in JOACMEQ and GLFS-25 scores were observed between those with and without frailty after surgery. More precisely, DCM patients with frailty experienced better improvement in lower extremity function based on the JOACMEQ than did those without frailty. CONCLUSIONS: Our results demonstrated that older DCM patients had favorable outcomes following surgery regardless of frailty. Despite the significant association between frailty and LS in DCM patients, frailty did not negatively impact the improvement in LS in older DCM patients. These findings provide valuable information for both older DCM patients and their attending physicians that would help guide decisions about cervical spine surgery for DCM.

Non-metastatic hip fractures surgery in patients with active cancer: benefit and risk.

PURPOSE: Although rare, non-metastatic proximal femoral fracture (PFF) can develop in patients with active cancer. However, little data are available regarding the risks and benefits of surgical treatment in such patients. The purpose of his study was to investigate the risks and benefits of surgical treatment of PFF in patients with and without cancer. METHODS: We retrospectively examined the medical records of all patients treated for PFF, excluding those with pathological fracture, at our hospital from July 2013 to December 2020. The patients were divided into two groups; The active cancer group and the standard group. We investigated in both groups about surgical and medical complications during the perioperative period, walking ability two weeks postoperatively, and one-year postoperative mortality rate. RESULT: After the inclusion and exclusion criteria, 39 patients in the active cancer group and 331 patients in the standard group were finally investigated. There were no statistically significant differences between the two groups. The complication rate did not appear statistical significance between two groups (16.7% in active cancer group vs 10.7% in standard group: p = 0.272). Walking ability was also similar in two groups. Mortality rate at one year was significantly higher in the active cancer group. (41.2% in active cancer group vs 6.0% in standard group: p < 0.05). CONCLUSION: Although the active cancer group had a higher mortality rate at one year, which was influenced by the prognosis of the cancer, the benefits of surgical intervention, such as regaining walking ability, were the same in patients with and without active cancer.

Association between poor sleep quality and locomotive syndrome in middle-aged and older women: A community-based, cross-sectional study.

OBJECTIVE: Poor sleep quality, such as nocturnal arousal and sleep inefficiency, is associated with frailty and sarcopenia. Herein, we evaluated the relationship between poor sleep quality and locomotive syndrome (LS), a motor organ dysfunction common among community-dwelling middle-aged and older women. METHODS: Participants comprised 2246 Japanese middle-aged and older women. LS was classified into stages LS-1, LS-2, and LS-3 (from least to most severe) according to the results of the stand-up test, two-step test, and 25-question Geriatric Locomotive Function Scale. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. RESULTS: The Pittsburgh Sleep Quality Index scores were significantly higher in the LS group than that in the non-LS group (P < .001). Multivariate logistic regression analyses adjusted for potential confounders identified poor sleep quality as an independent factor of LS (odds ratio 1.59 [95% confidence interval 1.30-1.93], P < .001). Similar results were observed in the sensitivity analysis in postmenopausal women. LS and trouble sleeping because of pain showed stepwise association in all LS stages. CONCLUSIONS: Poor sleep quality was independently associated with LS among community-dwelling middle-aged and older women. As the stage of LS progressed, the proportion of women with poor sleep quality increased significantly.

Loss of height predicts fall risk in elderly Japanese: a prospective cohort study.

INTRODUCTION: The purpose of this study was to explore whether height loss is associated with future falls and whether the combination of height loss and fall experience is associated with future falls. MATERIALS AND METHODS: In this prospective observational study, a total of 765 individuals (354 men, 411 women) agreed to join the study. Baseline data on demographics, comorbidities, physical performance, and previous falls were assessed. Height loss was calculated as the difference between the self-reported height at a younger age and the current height and was divided into two groups: < 2 cm and ≥ 2 cm. Approximately 15 months after the baseline evaluation, follow-up questionnaires were used to assess the fall history. Participants were classified as either "non-fallers" or "fallers." Multiple logistic regression was used to evaluate the association between falls and each factor and to obtain adjusted odds ratio estimates. RESULTS: The follow-up questionnaire was returned by 668 participants, 74 of whom (11.1%) fell at least once during the observation period. Multiple logistic regression analysis found that height loss of > 2 cm was a significant predictor of future falls, even after adjusting for other factors. Additionally, the combination of height loss and previous falls was a risk factor for falls. CONCLUSIONS: We suggest that height loss of ≥ 2 cm is a predictor of future falls in older adults, and the combination of height loss and fall experiences may be a useful screening tool for determining fall risk.

Relationship between the 25-question Geriatric Locomotive Function Scale and physical function in the elderly people.

INTRODUCTION: Locomotive syndrome (LS) is a condition of reduced mobility. The LS stage can be determined by the stand-up test, two-step test, and 25-question geriatric locomotive function scale (GLFS-25). This study aimed to establish whether the LS stage can be reliably determined using the GLFS-25, and to clarify the correlation between the GLFS-25's six subcategories and physical functions. MATERIALS AND METHODS: We administered the GLFS-25 and evaluated physical functions using the stand-up test, the two-step test, handgrip strength, the five-times sit-to-stand test, the 4 m walking test, and the duration of single leg standing. We assessed 103 participants over 65 years of age. We analyzed the correlation between LS stage and GLFS-25 score, as well as the correlations between physical functions and the GLFS-25's six subcategories. RESULTS: There was a discrepancy between the LS stage determined using the GLFS-25 alone and the LS stage determined using all three tools. ROC analysis revealed a cut-off value of 6 for the discrimination of LS stages 0/1 and 14 for stages 1/2. The analysis revealed an AUC of 0.78 and 0.81, respectively. Among the six subcategories of the GLFS-25, movement-related difficulty, usual care, ADL, and social activities were correlated with mobility functions. In contrast, body pain and cognitive showed no correlation. CONCLUSION: The GLFS-25 is useful for screening those with severe LS stages; however, evaluation of actual physical function is recommended for precise staging of LS in those with low GFLS-25 scores. Among the six subcategories of the GLFS-25, body pain and cognitive were independent of the other four subcategories.

Cancer may accelerate locomotive syndrome and deteriorate quality of life: a single-centre cross-sectional study of locomotive syndrome in cancer patients.

BACKGROUND: Thanks to recent advancement in cancer treatment, an increasing number of cancer patients are expected to live longer with cancer. The ambulatory ability is essential for cancer patients to spend their own independent lives, but locomotive syndrome (LS), a condition of reduced mobility due to impairment of locomotive organs, in cancer patients has been seldom examined. METHODS: This was a single-institutional cross-sectional study. Cancer patients receiving cancer therapy between April 2020 and March 2021 were asked to participate. LS was classified as stage 0-3, and compared with their performance status (PS). Physical component summary (PCS) and mental component summary (MCS) were calculated from the results of Short Form-8. Logistic regression analysis was performed to identify risk factors for LS stage 3. RESULTS: One hundred and seventy-six cancer patients were included. The rate of LS was 96.0%. That of LS stage 3 was 40.9% and as high as 29.7% even if limited to those with PS 0. The mean PCS and MCS were both inferior to the national averages. PCS decreased as the LS stage advanced. Old age and underweight were revealed as independent risk factors for LS stage 3. CONCLUSIONS: The ratio of LS in cancer patients was extremely high, and the LS stage correlated with physical QOL. Even those with PS 0 can have severe LS; thus, LS can be a sensitive detector of physical disability of cancer patients than PS. The improvement of LS can be a key to the preservation of their ADL and QOL.

Association between oral health and locomotive syndrome: a cross-sectional study in Japanese adults.

BACKGROUND: Many studies have examined the association between oral health, care needs, and physical function, but few have focused on the association between oral health and locomotive syndrome (LS). We examined the association between LS and oral-health status, such as the number of teeth and chewing function, in an adult population. METHODS: The study included 2888 participants who underwent examinations of motor function and oral health. Individuals with LS stage 1 or higher were classified as having LS, while others were classified as not having it. Logistic regression analysis was performed using the presence or absence of LS as the dependent variable and age, sex, smoking status, drinking habit, exercise habit, walking speed, history of stroke, bone density, body mass index, metabolic syndrome, chewing function, and the number of teeth as independent variables to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for each independent variable. RESULTS: When the number of teeth and chewing function were included separately in multivariate analyses, the OR for LS was significantly higher for participants with 0-19 teeth than for those with 28 teeth, and for participants with poor chewing function than for those with good function (adjusted ORs, 1.47 [95% CI, 1.01-2.15] and 1.73 [95% CI, 1.37-2.18], respectively). In analyses that included tooth number and chewing function as a combined independent variable, relative to individuals with 28 teeth and good masticatory function, the adjusted ORs were 2.67 (95% CI, 1.57-4.52) for those with 28 teeth and poor chewing function, 1.63 (95% CI, 1.20-2.22) for those with 20-27 teeth and poor chewing function, and 1.83 (95% CI, 1.06-3.18) for those with 0-19 teeth and poor chewing function. CONCLUSION: Having fewer teeth and poor chewing function may be associated with LS. The maintenance of masticatory function may be important to prevent LS in adulthood.

Impact of spinal sagittal malalignment on locomotive syndrome and physical function in community-dwelling middle aged and older women.

BACKGROUND: Adult spinal deformity has a substantially debilitating effect on older people's physical and mental health. However, the impact of sagittal malalignment on locomotive syndrome (LS), sarcopenia, and physical function in community-dwelling older women has not yet been clarified. This study aimed to investigate the association between these factors in community-dwelling middle aged and older women. METHODS: A total of 361 women were recruited from participants performing aquatic exercises in a rural area of Japan. The body mass index, skeletal muscle mass index, trunk muscle mass, spinal inclination angle (SIA), grip strength, timed up-and-go test (TUG), maximum stride of the participants, and one-leg standing time were measured. Low back pain (LBP)- and health-related quality of life (HRQOL) were evaluated using the Oswestry Disability Index (ODI) and the Short-Form 8 questionnaire. Associations between the global sagittal alignment using SIA and investigating parameters were analyzed. RESULTS: The prevalence of sarcopenia was 3.6%. The prevalence of LS (stages 1, 2, and 3) was 43.8% (158 of 361), and the number of participants in each LS stage was 203 (stage 0), 95 (stage 1), 28 (stage 2), and 35 (stage 3). The SIA was significantly correlated with the 25-question geriatric locomotive function scale (r' = 0.292, p < 0.001), ODI (r' = 0.267, p < 0.001), and TUG (r' = 0.453, p < 0.001) after adjusting for age. In the receiver-operating characteristic curve analysis, the cutoff values of SIA for LS ≥ stage 2 and ODI ≥ 20% were 5°. CONCLUSIONS: LBP-related QOL and physical performance were significantly associated with global sagittal alignment. Global sagittal alignment was correlated with the three-stage category of LS. The spinal inclination of 5° was a cutoff value to predict exacerbation of mobility function and HRQOL status.

Impact of spinal surgery on locomotive syndrome in patients with lumbar spinal stenosis in clinical decision limit stage 3: a retrospective study.

BACKGROUND: Locomotive syndrome (LS) is characterized by reduced mobility. Clinical decision limit (CDL) stage 3 in LS indicates physical frailty. Lumbar spinal canal stenosis (LSS) is one of the causes of LS, for which lumbar surgery is considered to improve the CDL stage. This study aimed to investigate the efficacy of lumbar surgery and independent factors for improving the CDL stage in patients with LSS. METHODS: This retrospective study was conducted at the Department of Orthopaedic Surgery at our University Hospital. A total of 157 patients aged ≥ 65 years with LSS underwent lumbar surgery. The 25-Question Geriatric Locomotive Function scale (GLFS-25) was used to test for LS, and the Timed Up and Go test (TUG) was used to evaluate functional ability. Lower limb pain was evaluated using a visual analog scale. Patients with at least one improvement in the CDL stage following lumbar surgery were included in the improvement group. Differences in lower limb pain intensity between the groups were evaluated using the Wilcoxon rank-sum test. The Spearman's rank correlation coefficient was used to determine correlations between Δ lower limb pain and Δ GLFS-25. Logistic regression analysis was used to identify factors associated with improvement in LS. RESULTS: The proportion of patients with improved CDL stage was 45.1% (improvement/non-improvement: 32/39). Δ Lower limb pain was significantly reduced in the improvement group compared with that in the non-improvement group (51.0 [36.3-71.0] vs 40.0 [4.0-53.5]; p = 0.0107). Δ GLFS-25 was significantly correlated with Δ lower limb pain (r = 0.3774, p = 0.0031). Multiple logistic regression analysis revealed that TUG and age were significantly associated with improvement in LS (odds ratio, 1.22; 95% confidence interval: 1.07-1.47). CONCLUSIONS: Lumbar surgery effectively improved the CDL stage in patients with LSS. In addition, TUG was an independent factor associated with improvement in the CDL.

Evaluation of Lower-Limb Kinematics during Timed Up and Go (TUG) Test in Subjects with Locomotive Syndrome (LS) Using Wearable Gait Sensors (H-Gait System).

Few studies have dealt with lower-limb kinematics during the timed up and go (TUG) test in subjects with locomotive syndrome (LS). This study aimed to evaluate the characteristics of lower-limb kinematics during the TUG test in subjects with LS using the wearable sensor-based H-Gait system. A total of 140 participants were divided into the non-LS (n = 28), the LS-stage 1 (n = 78), and LS-stage 2 (n = 34) groups based on the LS risk test. Compared with the non-LS group, the LS-stage 1 and LS-stage 2 groups showed significantly smaller angular velocity of hip and knee extension during the sit-to-stand phase. The LS-stage 2 group showed significantly smaller peak angles of hip extension and flexion during the walking-out phase compared to the non-LS group. These findings indicate that the evaluation of the lower-limb kinematics during the TUG test using the H-Gait system is highly sensitive to detect LS, compared with the evaluation of the lower-limb kinematics when simply walking.

Evaluation of Sit-to-Stand Movement in Older Adults with Locomotive Syndrome Using the Nintendo Wii Balance Board.

Standing up from a chair is a mechanically demanding daily motion, and its biomechanics represent motor performance. In older adults with locomotive syndrome (LS), sit-to-stand (STS) movement with adequate postural control is essential to prevent falls. This study evaluated the characteristics of dynamic balance during STS movement on older adults with LS. A total of 116 participants aged ≥65 years were divided into Non-LS, LS stage 1, and LS stage 2 groups using the LS risk test. The participants were instructed to stand on the Nintendo Wii Balance Board as quickly as possible, and the STS movement was quantified using the vertical ground reaction force (VGRF) and center of pressure (CoP). The STS score, which represented dynamic balance, was significantly different among the groups (p < 0.001). The rate of VGRF development was significantly lower in the LS stages 1 and 2 than in the Non-LS group (p < 0.001). On the other hand, the total distance of the CoP path did not differ among the groups (p = 0.211). These findings indicated a reduction of postural control in older adults with LS. The STS score emphasized the importance of balance training to prevent falls in older adults with LS.

Clinical prediction rule for locomotive syndrome in older adults: A decision tree model.

BACKGROUND: No previous studies have proposed a clinical prediction rule that analyzes the factors related to the severity of locomotive syndrome. This study developed and assessed a clinical prediction rule for the severity of locomotive syndrome in older adults. METHODS: A total of 186 patients were assessed using the locomotive syndrome risk test. Classification and regression tree methodologies were used to develop the clinical prediction rule. This study developed three prediction models based on the severity of the locomotive syndrome, of which Model 3 assessed the most severe condition. The following potential predictive factors were measured and entered into each model; single-leg standing time, grip strength, preferred and maximum walking time, and timed up and go test. RESULTS: The single-leg standing test (≤59.4 or >59.4 s) was the best single discriminator for Model 1. Among those with a single-leg standing time >59.4 s, the next best predictor was grip strength (≤37.8 or >37.8 kg). In Model 2, the single-leg standing test was also the best single discriminator (≤12.6 or >12.6 s). Among those with a single-leg standing time ≤12.6, the next best predictor was TUG (≤7.9 or >7.9 s). Additionally, among those with a single-leg standing time >12.6, the next best predictor was single-leg standing time (≤55.3 or >55.3 s). In Model 3, predictive value in Model 2 was the best single discriminator (0 or 1). Among those with 1, the next best predictor was maximum walking time (≤3.75 or >3.75 s). The area under the receiver operating characteristic curves of Models 1, 2, and 3 were 0.737, 0.763, and 0.704, respectively. CONCLUSIONS: A clinical prediction rule was developed to assess the accuracy of the models. These results can be used to screen older adults for suspected locomotive syndrome.

Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study.

BACKGROUND: Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual's ability to complete questionnaires independently. To improve on this limitation, we developed a screening tool that uses information on the distribution of pressure on the plantar surface of the foot with an artificial intelligence (AI)-based decision system to identify patients with locomotor syndrome. Herein, we describe our AI-based system and evaluate its performance. METHODS: This was a cross-sectional study of 409 participants (mean age, 73.5 years). A foot scan pressure system was used to record the planter pressure distribution during gait. In the image processing step, we developed a convolutional neural network (CNN) to return the logit of the probability of locomotive syndrome based on foot pressure images. In the logistic regression step of the AI model, we estimated the predictor coefficients, including age, sex, height, weight, and the output of the CNN, based on foot pressure images. RESULTS: The AI model improved the identification of locomotive syndrome among elderly individuals compared to clinical data, with an area under curve of 0.84 (95% confidence interval, 0.79-0.88) for the AI model compared to 0.80 (95% confidence interval, 0.75-0.85) for the clinical model. Including the footprint force distribution image significantly improved the prediction algorithm (the net reclassification improvement was 0.675 [95% confidence interval, 0.45-0.90] P < 0.01; the integrated discrimination improvement was 0.059 [95% confidence interval, 0.039-0.088] P < 0.01). CONCLUSIONS: The AI system, which includes force distribution over the plantar surface of the foot during gait, is an effective tool to screen for locomotive syndrome.

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.

Is grip strength useful in screening to predict the severity of locomotive syndrome?

BACKGROUND: This study was conducted to investigate the relationship between grip strength and the 25-question Geriatric Locomotive Function Scale (GLFS-25) score and the diagnosis of locomotive syndrome (LS), and the usefulness of grip strength in screening for LS. METHODS: This cross-sectional study was conducted on 2251 community-dwelling residents (male, n = 1035; female, n = 1216). Subjects with GLFS-25 scores of 0-6 points, 7-15 points, 16-23 points, and 24-100 points were diagnosed with non-LS, LS-1, LS-2, and LS-3, respectively. Multivariate linear regression and multivariate logistic regression analyses were performed to assess the relationship between grip strength and the GLFS-25 score and LS after adjustment for age, sex, and body mass index. A conventional receiver operating characteristic (ROC) curve analysis was used to calculate the optimal cutoff value of grip strength for predicting the severity of LS. The discriminative ability of the model was assessed using the area under the ROC curve (AUC). RESULTS: The multivariate linear regression analysis showed that grip strength was significantly associated with the GLFS-25 score. The multivariate logistic regression analysis revealed that grip strength was significantly associated with the diagnosis of LS. The optimal cutoff values of grip strength for identifying LS-1 or more, LS-2 or more, and LS-3 or more were 36.0 kg (sensitivity 65.7%, specificity 57.1%, AUC 0.66), 35.0 kg (sensitivity 70.0%, specificity 57.5%, AUC 0.70), and 34.0 kg (sensitivity 67.2%, specificity 62.5%, AUC 0.70), respectively, in males, and 24.0 kg (sensitivity 69.1%, specificity 45.4%, AUC 0.61), 23.0 kg (sensitivity 69.5%, specificity 52.3%, AUC 0.67), and 22.0 kg (sensitivity 69.1%, specificity 61.0%, AUC 0.69) in females. CONCLUSIONS: The use of grip strength in screening to predict the severity of LS may not be clinically useful. However, the results will increase our understanding of the relationship between grip strength and the GLFS-25 scores and LS.

Relationship between oral frailty and locomotive syndrome in working-age individuals: a cross-sectional survey of workers in Japan.

BACKGROUND: Although the relationship between oral and physical frailty in older adults has been investigated, few studies have focused on the working-age population. This study examined the relationships of the number of remaining teeth and masticatory ability, i.e., signs of oral frailty, with locomotive syndrome (LS) in the working-age population. METHODS: The number of remaining teeth, masticatory ability, and presence of LS in 501 participants from four companies were examined. The relationships between the number of remaining teeth groups (≥ 20 teeth or ≤ 19 teeth) and LS and between the masticatory ability groups (high or low) and LS were examined. A binomial logistic regression analysis was conducted using LS from the stand-up test as the objective variable and the two subgroups based on the number of remaining teeth and potential crossover factors as covariates. RESULTS: The analysis included 495 participants (354 males and 141 females; median age, 43 years). The median number of remaining teeth among the participants was 28, and 10 participants (2.0%) had ≤ 19 teeth. The mean masticatory ability values were 39.9 for males and 37.7 for females, and 31 participants (6.3%) had low masticatory ability. In the stand-up test, those with ≤ 19 teeth had a higher LS rate than those with ≥ 20 teeth. The odds ratio for LS in the group with ≤ 19 remaining teeth was 5.99, and the confidence interval was 1.44-24.95. CONCLUSIONS: The results confirmed signs of oral frailty in the working-age population. Further, the number of remaining teeth possibly affects standing movement. Thus, oral frailty is associated with LS in the working-age population.

Does locomotive syndrome severity predict future fragility fractures in community-dwelling women with osteoporosis?

OBJECTIVES: We investigated whether the locomotive syndrome (LS) severity affects future fragility fractures in osteoporosis patients. METHODS: In this retrospective cohort study, 315 women with osteoporosis (mean follow-up period, 2.8 years) were reviewed, of whom 244 were included in the analysis. At baseline, we obtained medical information, bone mineral density of the lumbar spine and femoral neck, and sagittal vertical axis. Additionally, LS risk was assessed using the two-step test, stand-up test, and 25-question geriatric locomotive function scale scores. The LS risk test results were used to classify LS severity, which was rated on a 4-point scale from stage 0 (robust) to 3 (worsening). Cox proportional hazards regression analysis was used to determine the association of the severity with future fragility fracture. RESULTS: Fragility fractures occurred in 37 of 315 participants (11.8%). This study showed that sagittal vertical axis (hazard ratio = 1.014; 95% confidence interval, 1.005-1.023; p value = 0.003) and LS severity (hazard ratio =1.748; 95% confidence interval, 1.133-2.699; p = 0.012) were independent risk factors for incidence of fragility fracture. CONCLUSIONS: This study revealed the LS severity to predicted fragility fractures. We suggested that the progression of LS associated with osteoporosis increases the fracture risk.

The Relationship between Locomotive Syndrome and Depression in Young Chinese College Students.

OBJECTIVES: This study investigates the relationship between locomotive syndrome (LS) and mental disorder (depression) in young Chinese college students. METHODS: Our study population (n = 165; mean age of 19.82 ±1.90 years) comprises college student residents at Tsinghua University in Beijing, China. Three screening methods were used to evaluate LS: 25-question Geriatric Locomotive Function Scale (GLFS-25), a two-step test, and a stand-up test. Depression was screened by the Chinese version of the Zung Self-Rating Depression Scale (ZSDS). RESULTS: The prevalence of LS and depression was 20.1% and 30.9%, respectively. The LS group had lower grip strength and higher ZSDS scores than the non-LS group. CONCLUSION: Young Chinese college students have a relatively high prevalence of LS, and LS and GLFS-25 scores were significantly related to depression. The present results suggest that management strategies for LS should consider depressive symptoms among young adults.