Dataset Information

Clinical characteristics of locomotive syndrome categorised by the 25-question Geriatric Locomotive Function Scale: a systematic review.

ABSTRACT:

Objectives

The purpose of this study was to compile the currently available evidence on the clinical characteristics of the locomotive syndrome (LS) categorised by the 25-question Geriatric Locomotive Function Scale (GLFS-25) and clarify its clinical usefulness for assessing mobility function.

Design

Systematic review.

Data sources

The PubMed and Google Scholar were searched for the relevant studies on 20 March 2022.

Eligibility criteria

We included relevant peer-reviewed articles, available in English language, on clinical LS characteristics categorised with the GLFS-25.

Data extraction and synthesis

Pooled ORs or mean differences (MDs) of the LS groups were calculated and compared with the non-LS groups for each clinical characteristic.

Results

In total, 27 studies that involve 13 281 participants (LS, n=3385; non-LS, n=9896) were examined in this analysis. Older age (MD 4.71; 95% (CI) 3.97 to 5.44; p<0.00001), female gender (OR 1.54; 95% CI 1.38 to 1.71; p<0.00001), higher body mass index (MD 0.78; 95% CI 0.57 to 0.99; p<0.00001), osteoporosis (OR 1.68; 95% CI 1.32 to 2.13; p<0.0001), depression (OR 3.14; 95% CI 1.81 to 5.44; p<0.0001), lower lumbar lordosis angle (MD -7.91; 95% CI -10.08 to -5.74; p<0.00001), higher spinal inclination angle (MD 2.70; 95% CI 1.76 to 3.65; p<0.00001), lower grip strength (MD -4.04; 95% CI -5.25 to -2.83; p<0.00001), lower back muscle strength (MD -15.32; 95% CI -23.83 to -6.81; p=0.0004), lower maximum stride (MD -19.36; 95% CI -23.25 to -15.47; p<0.00001), higher timed up-and-go (MD 1.36; 95% CI 0.92 to 1.79; p<0.00001), lower one-leg standing time (MD -19.13; 95% CI -23.29 to -14.97; p<0.0001) and slower normal gait speed (MD -0.20; 95% CI -0.22 to -0.18; p<0.0001) were found to be associated with LS. No significant differences were noted in other clinical characteristics between the two groups.

Conclusions

GLFS-25 is clinically useful for assessing mobility function according to the evidence available on the clinical characteristics of LS categorised by the GLFS-25 questionnaire items until.

SUBMITTER: Kobayashi T

PROVIDER: S-EPMC10193047 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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Publications

Clinical characteristics of locomotive syndrome categorised by the 25-question Geriatric Locomotive Function Scale: a systematic review.

Kobayashi Takaomi T Morimoto Tadatsugu T Shimanoe Chisato C Ono Rei R Otani Koji K Mawatari Masaaki M

BMJ open 20230516 5

<h4>Objectives</h4>The purpose of this study was to compile the currently available evidence on the clinical characteristics of the locomotive syndrome (LS) categorised by the 25-question Geriatric Locomotive Function Scale (GLFS-25) and clarify its clinical usefulness for assessing mobility function.<h4>Design</h4>Systematic review.<h4>Data sources</h4>The PubMed and Google Scholar were searched for the relevant studies on 20 March 2022.<h4>Eligibility criteria</h4>We included relevant peer-rev ...[more]

PMID: 37192799

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Project description:BackgroundThe 25-question Geriatric Locomotive Function Scale (GLFS-25) is widely used in daily clinical practice in evaluating locomotive syndrome (LS). The questionnaire contains 25 questions aiming to describe 6 aspects, including body pain, movement-related difficulty, usual care, social activities, cognitive status, and daily activities. However, its potential underlying latent factor structure of the questionnaire has not been fully examined so far.MethodsFive hundred participants who were 60 years or older and were able to walk independently with or without a cane but had complaints of musculoskeletal disorders were recruited face to face at the out-patient ward of Aichi Medical University Hospital between April 2018 and June 2019. All participants completed the GLFS-25. Confirmatory factor analysis (CFA) models (single-factor model, 6-factor model as designed by the developers of the GLFS-25) were fitted and compared using Mplus 8.3 with a maximum likelihood minimization function. Modification indices, standardized expected parameter change were used, a standard strategy for scale development was followed in the search for an alternative and simpler model that could well fit the collected data. Cronbach's α and its 95% confidence interval (CI) were also calculated.ResultsMean (standard deviation) participants age was 72.6 (7.4) years old; 63.6% of them were women. Under the current criteria, 132 (26.4%) and 262 (52.4%) of the study subjects would be classified as LS stage 1 and stage 2, respectively. Overall, the Cronbach's α (95% CI) for GLFS-25 evaluated using these data was 0.959 (0.953, 0.964). The single- and 6-factor models were rejected due to poor fit. The alternative models with either full 25 questions or a shortened GLFS-16 were found to fit the data better. These alternative models included three latent factors (body pain, movement-related difficulty, and psycho-social complication) and allowed for cross-loading and residual correlations.DiscussionThe findings of the CFA models provided evidence that the factor structure of the GLFS-25 might be simpler than the 6-factor model as suggested by the designers. The complex relationships between the latent factors and the observed items may also indicate that individual sub-scale use or simply combining the raw scores for evaluation is likely to be inadequate or unsatisfactory. Thus, future revisions of the scoring algorithm or questions of the GLFS-25 may be required.

Project description:IntroductionThe 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting).Methods and analysisIndividual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool.Ethics and disseminationThe findings of this study will be of interest to stakeholders involved in research, clinical practice and policy.Prospero registration numberCRD42018104329.

Project description:BackgroundCognitive decline is closely related to motor decline. Locomotive syndrome (LS) is defined as a state associated with a high risk of requiring support because of locomotive organ disorders, and can be evaluated using a questionnaire. This study aimed to clarify the effectiveness of daily goal-targeted exercise on cognitive function in two different populations classified by scores on the Locomo 25 questionnaire.MethodsSeventy community-dwelling older people who participated in a 13-week health class were divided into two populations based on Locomo 25 scores: <7 (non-LS) and ≥7 (LS). Participants were presented with a daily target steps and worked towards that goal. Cognitive function was evaluated using the Japanese version of Addenbrooke's Cognitive Examination-Revised (ACE-R). Average daily physical activity (exercise [Ex]) for 13 weeks was measured using a portable activity meter. Depression status was assessed using the Geriatric Depression Scale (GDS-15).ResultsNo significant differences were observed in age, years of education, body mass index, smooth muscle mass index, GDS-15 scores, or ACE-R scores between the non-LS and LS populations. Multiple logistic regression analysis showed that Ex (odds ratio = 5.01, p = 0.002) for 13 weeks was significantly associated with increased cognitive function in the LS population. The Ex threshold for the increase in cognitive function based on receiver operating curve analysis was 2.29 metabolic equivalents of task (METs) × h (METs · h/day) (p = 0.047) in the LS population. After 13 weeks, ACE-R scores were significantly higher in the Ex ≥ 2.29 than in the Ex < 2.29 METs · h/day group (p = 0.024, ηp 2 = 0.241) in the LS population based on two-way analysis of covariance. Furthermore, a significant increase in the ACE-R memory domain was seen in the Ex ≥ 2.29 group (p = 0.035, ηp 2 = 0.213).ConclusionsThese results suggest that Ex ≥ 2.29 METs · h/day is important for improving cognitive function in LS populations.

Project description:BackgroundUnderstanding the gait pattern of patients eligible for total hip arthroplasty (THA) due to hip osteoarthritis (OA) offers valuable information for improving locomotive syndrome (LS). This study aims to measure the gait patterns of THA-eligible patients using an optical motion capture system and to analyze these patterns using principal component analysis (PCA). Additionally, this study examines the relationship between THA-induced gait patterns and LS.MethodsThis before-after study included 237 patients who underwent unilateral primary THA due to hip OA. The primary outcome measures were spatiotemporal gait parameters. Secondary outcome measures included three LS risk tests: a stand-up test, a two-step test, a 25-question Geriatric Locomotive Function Scale (GLFS-25), and total clinical decision limits stages. PCA was performed using 16 spatiotemporal gait parameters collected before and three months after THA. Principal components (PC) were selected to achieve a cumulative contribution rate of 90% (0.9) or higher. Each summarized PC was compared using a paired t-test before and three months after THA. Furthermore, multiple regression analysis was conducted to determine how changes in each PC between before and three months after THA related to changes in the four LS evaluation items.ResultsPCA identified three principal components (PC1, PC2, PC3) that accounted for a cumulative contribution rate of 0.910 using 16 spatiotemporal gait parameters. When comparing before and three months after THA for all three PCs, significant differences were observed in each PC (p < 0.001), with overall walking ability and stance phase being higher three months after THA than before THA, while the asymmetry of support time was lower three months after THA. The results of multiple regression analysis revealed that PC1, PC2, and PC3 were the most influential factors in total clinical decision limits stage. For each LS risk test, the factors related to the stand-up test were identified as PC1, PC2, and PC3, while the factors related to the two-step test were identified as PC1 and PC2. The factors related to the GLFS-25 were also identified as PC1 and PC2.ConclusionsThe most important findings of this study indicate that the three PCs represent over 90% of the 16 spatiotemporal gait parameters, which are associated with total clinical decision limits stage and LS risk tests. The present results suggest that PC1 represents overall walking ability, PC2 represents the stance phase, and PC3 represents asymmetry of support time. Gait pattern characteristics, such as overall walking ability, stance phase, and asymmetry of support time, were clearly defined by these PCs. Regarding the relationship between PC and LS, all three PCs are related to total clinical decision limits stage. In addition, PC1 and PC2 related to all three LS risk tests, and PC3 related only to the stand-up test.

Dataset Information

Clinical characteristics of locomotive syndrome categorised by the 25-question Geriatric Locomotive Function Scale: a systematic review.

Objectives

Design

Data sources

Eligibility criteria

Data extraction and synthesis

Results

Conclusions

Publications

Clinical characteristics of locomotive syndrome categorised by the 25-question Geriatric Locomotive Function Scale: a systematic review.

Similar Datasets

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