Cognitive factors associated with locomotive syndrome in chronic pain patients: A retrospective study

Effect of locomotive syndrome on knee pain in severe knee osteoarthritis

BACKGROUND

Locomotive syndrome (LS) presents symptoms related to decreased mobility due to musculoskeletal disorders. Knee osteoarthritis (KOA) is a significant public health concern linked to age-related musculoskeletal issues and is among the conditions contributing to LS. Age-related lower extremity muscle weakness exacerbates knee pain in KOA, but the impact of LS on knee pain is not clear, prompting the present investigation.

METHODS

We conducted a cross-sectional study of 76 participants (152 knee joints) with bilateral severe KOA scheduled for total knee arthroplasty. The study investigated the association between the Knee Injury and Osteoarthritis Outcome Score (KOOS) pain subscale and LS using a multiple linear regression model, which included covariates and scaled estimated regression coefficients.

RESULTS

LS had a negative impact on KOOS pain (β: 0.35, 95 % confidence interval [CI]: 24.08; -6.05) (p < 0.05) and high self-efficacy had a positive impact (β: 0.25, 95%CI: 1.27; 16.34) (p < 0.05). Age, gender, BMI, Kellgren-Lawrence grade, and Central Sensitization did not influence KOOS pain.

CONCLUSIONS

Our findings demonstrate that LS negatively affected knee pain while self-efficacy positively affected it. LS has been attracting attention in relation to mobility, but the fact that it also affected the knee pain in severe KOA is an important clinical finding. Further research is required to focus on the relationship between the prevention and improvement of LS, and knee pain in severe KOA.

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.

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.

Relationship between Locomotive Syndrome and Musculoskeletal Pain and Generalized Joint Laxity in Young Chinese Adults

This study aims to investigate the prevalence of locomotive syndrome (LS) and to examine the relationship of LS with musculoskeletal symptoms (pain, generalized joint laxity (GJL)) in young Chinese adults. Our study population (n = 157; mean age of 19.8 ± 1.2 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. Musculoskeletal pain was assessed by self-report and visual analog scale (VAS), and joint body laxity was evaluated using the GJL test. The prevalence of LS was 21.7% of all participants. Musculoskeletal pain affected 77.8% of the college students with LS and was strongly associated with LS. A total of 55.0% of college students with LS had four or more site joints that were positive for GJL, and higher scores of GJL were associated with a higher prevalence rate of LS. Young Chinese college students have a relatively high prevalence of LS, and musculoskeletal pain and GJL were significantly related to LS. The present results suggest that we need early screening of musculoskeletal symptoms and LS health education in young adults to prevent the mobility limitations of LS in the future.

Association of phase angle with sarcopenia in chronic musculoskeletal pain patients: a retrospective study

BACKGROUND

In chronic musculoskeletal pain patients, detection of sarcopenia is of significant clinical interest. Phase angle, which can be measured through bioelectrical impedance analysis (BIA), can detect sarcopenia; however, the evidence in chronic musculoskeletal pain patients is limited. This study aimed to assess the relationship between phase angle and sarcopenia in patients with chronic musculoskeletal pain. Our hypothesis was that phase angle would be a useful indicator to identify sarcopenia in patients with chronic musculoskeletal pain.

METHODS

A total of 190 patients (51 men and 139 women) with chronic musculoskeletal pain were included in this retrospective cross-sectional study. Patient data of backgrounds, numeric rating scale score for pain, skeletal muscle index, and phase angle assessed using BIA were retrospectively reviewed. Sarcopenia was diagnosed using the Asian Working Group for Sarcopenia criteria 2019.

RESULTS

A total of 51 patients (26.7%), including 10 men (19.6%) and 41 women (29.5%), were diagnosed with sarcopenia. Phase angle, sarcopenia-related factors, age, and body mass index (BMI) differed significantly in patients with and without sarcopenia. On multiple logistic regression analysis, the prevalence of sarcopenia was significantly correlated with phase angle and BMI. The areas under the curve exhibited high accuracy in discriminating sarcopenia in men and moderate accuracy in both sexes and in women.

CONCLUSIONS

Phase angle may be a valid discriminator of sarcopenia in patients with chronic musculoskeletal pain.

Prediction models and associated factors on the fertility behaviors of the floating population in China

The floating population has been growing rapidly in China, and their fertility behaviors do affect urban management and development. Based on the data set of the China Migrants Dynamic Survey in 2016, the logistic regression model and multiple linear regression model were used to explore the related factors of fertility behaviors among the floating populace. The artificial neural network model, the naive Bayes model, and the logistic regression model were used for prediction. The findings showed that age, gender, ethnic, household registration, education level, occupation, duration of residence, scope of migration, housing, economic conditions, and health services all affected the reproductive behavior of the floating population. Among them, the improvement duration of post-migration residence and family economic conditions positively impacted their fertility behavior. Non-agricultural new industry workers with college degrees or above living in first-tier cities were less likely to have children and more likely to delay childbearing. Among the prediction models, both the artificial neural network model and logistic regression model had better prediction effects. Improving the employment and income of new industry workers, and introducing preferential housing policies might improve their probability of bearing children. The artificial neural network and logistic regression model could predict individual fertility behavior and provide a scientific basis for the urban population management.

Evaluation of SARC-F and SARC-CalF for sarcopenia screening in patients with chronic musculoskeletal pain: A prospective cross-sectional study

OBJECTIVES

Early sarcopenia detection using screening tools, such as SARC-F and SARC-CalF, has been proven reliable. However, the relationship between chronic musculoskeletal pain with sarcopenia is unknown. This study assessed sarcopenia morbidity as well as the reliability of sarcopenia screening with SARC-F and SARC-CalF in patients with chronic musculoskeletal pain.

METHODS

Overall, 172 patients with chronic musculoskeletal pain were included in this cross-sectional study. All participants completed the SARC-F, SARC-CalF, numeric rating scale (NRS), and pain disability assessment scale (PDAS) assessments. Sarcopenia was diagnosed using the Asian Working Group for Sarcopenia criteria 2019. Correlations between SARC-F and SARC-CalF scores and each measured variable were evaluated using univariate and multiple linear regression analyses. A receiver operating characteristic curve analysis was conducted, and reliabilities of SARC-F and SARC-CalF scores for diagnosing sarcopenia were compared.

RESULTS

Thirty-nine patients were diagnosed with sarcopenia. Among these, 10 patients were <65 years old, and 29 were >65 years old. Both SARC-F and SARC-CalF scores significantly correlated with grip power, gait speed, skeletal mass index, numeric rating scale score, and PDAS score. In multiple linear regression analysis, SALC-F and SALC-CalF scores significantly correlated with PDAS score, skeletal mass index, and gait speed. The area under the curve were 0.70 for SARC-F and 0.88 for SARC-CalF; SARC-CalF had a significantly higher area under the curve than SARC-F.

DISCUSSION

Sarcopenia was diagnosed in patients aged <65 years with chronic musculoskeletal pain. SALC-F and SARC-CalF scores showed a significant correlation with disability due to pain and were reliable sarcopenia screening tools for chronic musculoskeletal pain. SARC-CalF was more reliable than SARC-F.