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

Association of visceral fat area with early-stage locomotive syndrome across various age groups: a cross-sectional study

The association between visceral fat area (VFA) and locomotive syndrome (LS) has been extensively studied in the older population; however, the association between VFA and early-stage LS (stage 1 [LS1]) remains unclear. In this cross-sectional study, we investigated this association across different age groups. The study involved 1,236 (524 male and 712 female) participants (aged 20-85 years). Multiple regression analysis adjusted for sex, body mass index, skeletal muscle mass index, T-score, exercise habits, smoking status, and alcohol consumption revealed a significant association between LS1 and VFA across all VFA quartiles. The adjusted odds ratio OR for quartiles 2, 3, and 4 was 1.84, 2.68, and 4.12, respectively. The association between LS1 and VFA across the age groups-high VFA (> 73 cm2) and non-older (< 65 years) (OR, 1.87; 95% CI, 1.28-2.72; p = 0.001), low VFA (≤ 73 cm2) and older (≥ 65 years) (OR, 3.16; 95% CI, 1.94-5.14; p < 0.001), and high VFA and older groups (OR, 6.43; 95% CI, 3.98-10.4; p < 0.001)-was significantly stronger than that in the low VFA and non-older group. In summary, our findings suggest that managing VFA through diet and exercise is crucial for preventing LS1 across all age groups.

Impact of sarcopenia in elderly patients undergoing elective total hip arthroplasty on postoperative outcomes: a propensity score-matched study

OBJECTIVE

Frailty poses a crucial risk for postoperative complications in the elderly, with sarcopenia being a key component. The impact of sarcopenia on postoperative outcomes after total hip arthroplasty (THA) is still unclear. This study investigated the potential link between sarcopenia and postoperative outcomes among elderly THA patients.

METHODS

Totally 198 older patients were enrolled in this study. Sarcopenia in this group was determined by assessing the skeletal muscle index, which was measured using computed tomography at the 12th thoracic vertebra and analyzed semi-automatically with MATLAB R2020a. Propensity score matching (PSM) was employed to evaluate postoperative complications of grade II and above (POCIIs).

RESULTS

The variables balanced using PSM contained age, sex and comorbidities including hypertension, diabetes, hyperlipidemia and COPD. Before PSM, sarcopenic patients with reduced BMI (24.02 ± 0.24 vs. 27.11 ± 0.66, P < 0.001) showed higher POCIIs rates (48.31% vs. 15%, P = 0.009) and more walking-assisted discharge instances (85.96% vs. 60%, P = 0.017) compared with non-sarcopenia patients. After PSM, this group maintained reduced BMI (23.47 ± 0.85 vs. 27.11 ± 0.66, P = 0.002), with increased POCIIs rates (54.41% vs. 15%, P = 0.002) and heightened reliance on walking assistance at discharge (86.96% vs. 60%, P = 0.008).

CONCLUSION

Sarcopenia patients exhibited a higher incidence of POCIIs and poorer physical function at discharge. Sarcopenia could serve as a valuable prognostic indicator for elderly patients undergoing elective THA.

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.

A Simplified Screening Tool for the One-Leg Standing Test to Determine the Severity of Locomotive Syndrome

This study determined the cut-off time for the one-leg standing test (OLST) to simply screen the severity of locomotive syndrome (LS). We conducted this cross-sectional study on 1860 community-dwelling residents (age, 70.5 ± 9.5 years old; males, n = 826; females, n = 1034) who underwent the OLST and completed the 25-question geriatric locomotive function scale (GLFS-25). Multivariate linear regression and multivariate logistic regression analyses were conducted to assess the relationship between the OLST and the GLFS-25 score and LS after adjusting for age, sex, and body mass index. A receiver operating characteristic (ROC) curve analysis was performed to calculate the optimal cut-off time of the OLST for determining LS severity. The multivariate linear regression and multivariate logistic regression analyses showed that the OLST was significantly associated with the GLFS-25 score and a diagnosis of LS. The optimal cut-off times of the OLST to screen LS-1, LS-2, and LS-3 were 42 s (sensitivity 65.8%, specificity 65.3%), 27 s (sensitivity 72.7%, specificity 72.5%), and 19 s (sensitivity 77.4%, specificity 76.8%), respectively. We developed a simplified screening tool for the OLST to determine LS severity.

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

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.