AI-assisted 3D analysis of grasping and reaching behavior of squirrel monkeys during recovery from cervical spinal cord injury.

We have previously demonstrated that machine learning-based video analysis, conducted via DeepLabCut, is more sensitive for detecting subtle deficits in hand grasping behavior than traditional end-point performance assessments. This superiority was observed in a nonhuman primate (NHP) model of cervical spinal cord injury, specifically a dorsal column lesion (DCL). The current study aims to further characterize the kinematic aspects of the deficits in hand reaching, grasping, and retrieving behavior from a 3D perspective following a DCL. Squirrel monkeys were trained to retrieve sugar pellets from eight wells, which were located either on a flat plate or a raised tube with varying well depths. This setup was designed to require coordinated finger movements during the task. Immediately after the DCL, the animals exhibited measurable behavioral deficits. These were characterized by significant increases in grasping speed squared and trial completion time, markedly widened movement trajectories of individual fingers, and abnormalities in inter-finger distance and orientation. Increased task difficulty was associated with more pronounced behavioral deficits. By three months post-DCL, video-based measurements indicated no significant recovery, even though global end-point performance had returned to baseline levels. Our findings demonstrate that deprivation of tactile information results in impaired dexterous hand behavior involving coordinated finger movements, and the impairment is sustained for 20 weeks. This spinal cord injury (SCI) model, along with DeepLapCut analysis, provides a valuable platform for separately evaluating sensory and motor functions and their contributions to dexterous hand behavior and may be used for evaluating therapeutic interventions using more sensitive behavioral outcome readouts.

Reliability, reference values and factors related to maximum bite force measured by the Innobyte system in healthy adults with natural dentitions.

OBJECTIVES: We aimed to determine the predictors of maximum bite force (MBF), as measured with the Innobyte system, and to assess the reliability and reference values for MBF in young adults with natural dentitions. METHODS: This cross-sectional test-retest study included 101 dental students with natural dentitions. Participants had their dental occlusion examined and completed three questionnaires: the Temporomandibular disorders Pain Screener, Oral Behavior Checklist, and Jaw Functional Limitation Scale. Body mass index and muscle mass percentage were determined, and handgrip strength was measured with a dynamometer. The MBF was measured with Innobyte, with reliability assessed by the intraclass correlation coefficient, expressing reference values as MBF percentiles. Bivariate tests and multiple linear regression models were used for statistical analysis. RESULTS: The intraclass correlation coefficient for the MBF was 0.90, with 10th to 90th percentiles of 487-876 N for females and 529-1003 N for males. A positive relationship existed between the MBF and male sex, muscle mass percentage, overbite, handgrip strength, and possible sleep/awake bruxism. Stepwise regression showed that overbite, handgrip strength, and possible sleep/awake bruxism had the greatest effect on the MBF, explaining 27% of the variation. CONCLUSIONS: This study provides reference values for MBF when using the Innobyte system and shows excellent reliability. Overbite, general strength, and self-reported bruxism appear to be important predictors of MBF. CLINICAL RELEVANCE: Innobyte is a reliable device that can be used to measure MBF bilaterally. Self-reported bruxism is associated with an 8%-10% increase in MBF.

Integrated care for older people improved intrinsic capacity in elderly patients: a case control study.

OBJECTIVES: Observe the effect of integrated care for older people on intrinsic capacity in elderly patients. METHODS: Sixty elderly patients from department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between June 2021 and December 2021 were selected and divided into control group and intervention group with 30 patients in each group using random sampling method. Two groups implement routine care, and the intervention group implement integrated care by a "hospital-community-family" multidisciplinary team. After 12 weeks of intervention, the differences in frailty, cognition, depression scores, comprehension social support scores, and World Quality of Life Scale scores were compared between the two groups. RESULTS: Before intervention, there was no significant difference in the grip strength, step speed, frailty scores, cognition, depression scores, social support and quality of survival between the control group and the intervention group. After intervention, grip strength and depression scores improved both in the control group and the intervention group, but there was no difference between the two groups. Cognitive scores, comprehension social support and quality of survival scores improved only in the intervention group, while only the cognitive ability showed significant differences between the intervention group and the control group after 12 weeks of intervention (P<0.05). CONCLUSIONS: Integrated care for older people intervention can help to improve the intrinsic capacity of the patients, especially cognitive abilities.

Arm muscle area is correlated to handgrip strength in postmenopausal women.

OBJECTIVE: To analyze the correlation between arm muscle area and handgrip strength among postmenopausal community dwelling low-income women in order to provide an easy anthropometric indicator to assess muscle mass quantity and quality. METHODS: This was a cross-sectional study involving postmenopausal women (n = 171) from three urban-marginal communities of Guayaquil, Ecuador. Corrected arm muscle area was calculated using the Frisancho formula. Dynapenia was defined as HGS < 16 kg. Spearman's correlation coefficient was calculated at a 5% significance level to test the correlation between corrected arm muscle area and handgrip strength. RESULTS: Median (interquartile range: IQR) age of the sample was 72.0 years (17.0). The median of corrected arm muscle area was 34.8 cm2 (20.7). The overall prevalence of dynapenia was 57.9% (n = 99). There was a significant decreasing trend with age regarding all anthropometric characteristics and handgrip strength, as well as a higher prevalence of dynapenia with age. For the whole sample, a statistically significant positive correlation was found between corrected arm muscle area and handgrip strength [r = 0.267; p < .001].There was a significant yet weak positive correlation between corrected arm muscle area and handgrip strength in this postmenopausal sample. There is a need for additional research in this regard.

Correlation Between Intrinsic Capacity and Muscle Strength and Quality in Older Patients with Cardiovascular Disease: A Cross-Sectional Study.

Background: Cardiovascular disease (CVD) has become the leading cause of death worldwide. High muscle mass can reduce the incidence and mortality of CVD. In recent years, increasing attention has been given to the relationship between intrinsic capacity (IC) and CVD. This study aims to explore the relationship between the decline of IC, muscle strength, and muscle quality in older patients with CVD, providing a new method and basis for early recognition of IC decline in the older adults. Methods: This cross-sectional study included 475 older individuals from communities in Zhejiang. General data were collected, and a comprehensive geriatric assessment (CGA) was conducted. Participants with CVD were divided into three groups: IC retention, IC impairment, and IC significantly impaired. Bioelectrical impedance analysis (BIA) measurements were completed. Student's t-test or non-parametric tests (Mann-Whitney) were used to analyze the correlation between IC and muscle-related indicators. The best cutoff values were obtained using ROC curve analysis. Results: Compared to non-CVD patients, CVD patients were older, more educated, and had higher rates of polypharmacy and comorbidity. IC decreased more significantly in CVD patients. Age (P=0.001), Fried (P=0.024), and GDS-5 (P=0.002) increased with the severity of IC decline. ADL (P=0.002), MMSE (P=0.000), MNA-SF (P=0.000), SARC-Calf (P=0.026), waist circumference (P=0.037), and muscle quality (P=0.010) decreased with the decline in IC. When IC decreased, the cutoff values for hand grip strength, waist circumference, and muscle quality were 25.45 kg, 72.55 cm, and 3.05, respectively. When IC decreased significantly, the cutoff values were 17.15 kg, 71.55 cm, and 2.28, respectively. Conclusion: The results of this study showed that in patients with CVD, the hand grip strength and muscle quality of patients with IC injury were lower than those of patients with IC retention.

Simultaneous Estimation of Digit Tip Forces and Hand Postures in a Simulated Real-Life Condition With High-Density Electromyography and Deep Learning.

In myoelectric control, continuous estimation of multiple degrees of freedom has an important role. Most studies have focused on estimating discrete postures or forces of the human hand but for a practical prosthetic system, both should be considered. In daily life activities, hand postures vary for grasping different objects and the amount of force exerted on each fingertip depends on the shape and weight of the object. This study aims to investigate the feasibility of continuous estimation of multiple degrees of freedom. We proposed a reach and grasp framework to study both absolute fingertip forces and hand movement types using deep learning techniques applied to high-density surface electromyography (HD-sEMG). Four daily life grasp types were examined and absolute fingertip forces were simultaneously estimated while grasping various objects, along with the grasp types. We showed that combining a 3-dimensional Convolutional Neural Network (3DCNN) with a Long Short-term Memory (LSTM) can reliably and continuously estimate the digit tip forces and classify different hand postures in human individuals. The mean absolute error (MAE) and Pearson correlation coefficient (PCC) results of the force estimation problem across all fingers and subjects were 0.46 ± 0.23 and 0.90 ± 0.03% respectively and for the classification problem, they were 0.04 ± 0.01 and 0.97 ± 0.02%. The results demonstrated that both absolute digit tip forces and hand postures can be successfully estimated through deep learning and HD-sEMG.

Association between bone microarchitecture and sarcopenia in postmenopausal women with type 2 diabetes.

Bone microarchitecture, as assessed using high-resolution peripheral quantitative computed tomography, is adversely affected in postmenopausal women with type 2 diabetes mellitus having sarcopenia/sarcopenic obesity while areal bone mineral density does not differ between those with and without sarcopenia. PURPOSE: Type 2 diabetes (T2D) increases the risk of sarcopenia, which independently contributes to bone fragility. We aimed to explore the association between sarcopenia/sarcopenic obesity and bone quality using second-generation high-resolution peripheral quantitative computed tomography (HR-pQCT) in T2D. METHODS: We analyzed the baseline participant characteristics of an ongoing randomized clinical pilot trial (CTRI/2022/02/039978). Postmenopausal women (≥ 50 years) with T2D and high risk of fragility fractures were included. Areal BMD (aBMD), trabecular bone score (TBS), and body composition were measured using DXA. Bone microarchitecture was assessed at distal radius/distal tibia using HR-pQCT. Muscle strength was estimated using dominant handgrip strength (HGS). Sarcopenia was defined as low HGS (< 18.0 kg) and low appendicular skeletal muscle index (ASMI) (< 4.61 kg/m2). Probable sarcopenia was defined as low HGS with normal ASMI. Sarcopenic obesity was classified as co-existence of sarcopenia and obesity (BMI ≥ 25.0 kg/m2). RESULTS: We recruited 129 postmenopausal women (mean age 64.2 ± 6.7 years). Participants were categorized into four mutually exclusive groups: group A (normal HGS and ASMI, n = 17), group B (probable sarcopenia, n = 77), group C (non-obese sarcopenia, n = 18), and group D (obese sarcopenia, n = 18). The four groups did not differ significantly with regard to baseline characteristics, fracture prevalence, HbA1c, aBMD, and TBS. However, HR-pQCT-derived volumetric BMD and cortical/trabecular microarchitecture were significantly poorer in group C/group D than in group A/group B. CONCLUSIONS: Bone quality rather than bone density (quantity) is adversely affected in T2D postmenopausal women with sarcopenia/sarcopenic obesity, which could increase the fracture risk in this patient sub-population.

A GWAS for grip strength in cohorts of children-Advantages of analysing young participants for this trait.

Grip strength (GS) is a proxy measure for muscular strength and a predictor for bone fracture risk among other diseases. Previous genome-wide association studies (GWASs) have been conducted in large cohorts of adults focusing on scores collected for the dominant hand, therefore increasing the likelihood of confounding effects by environmental factors. Here, we perform the first GWAS meta-analyses on maximal GS with the dominant (GSD) and non-dominant (GSND) hand in two cohorts of children (ALSPAC, N = 5450; age range = 10.65-13.61; Raine Study, N = 1162, age range: 9.42-12.38 years). We identified a novel significant association for GSND (rs9546244, LINC02465, p = 3.43e-08) and replicated associations previously reported in adults including with a HOXB3 gene marker that shows an expression quantitative trait locus (eQTL) effect. Despite a much smaller sample (~3%) compared with the UK Biobank we replicated correlation analyses previously reported in this much larger adult cohort, such as a negative correlation with coronary artery disease. Although the results from the polygenic risk score (PRS) analyses did not survive multiple testing correction, we observed nominally significant associations between GS and risk of overall fracture, as previously reported, as well ADHD which will require further investigations. Finally, we observed a higher SNP-heritability (24%-41%) compared with previous studies (4%-24%) in adults. Overall, our results suggest that cohorts of children might be better suited for genetic studies of grip strength, possibly due to the shorter exposure to confounding environmental factors compared with adults.

Effect of Hand Grip and Center of Mass Location on Muscle Activity While Manipulating a Surgical Table Segment.

OCCUPATIONAL APPLICATIONSHand grip location relative to the center of mass of an object can impact the activity of trunk and upper limb muscles. Aligning the hand grip location with the center of mass in the anterior/posterior direction minimizes muscle activity. Whether a proximal or distal grip requires more effort appears to be muscle dependent. Our work illustrates how design features influencing hand grip and center of mass location, such as handles and hand-operated mechanisms, can impact the user. Reducing physical effort via design is important to improve usability and help mitigate the high incidence of musculoskeletal injury resulting from manual materials handling tasks.

Background Manual materials handling tasks are associated with a high risk of injury. The physical effort required to lift and manipulate objects can be influenced by design.Purpose Examine the effect of hand grip location and center of mass on physical effort during a surgical table section attachment task.Methods Twelve participants lifted, carried, and placed a table section onto a surgical table. Hand grip and center of mass location of the table section were both modified in three anteroposterior axis directions (proximal, aligned, and distal), as was the mass (6.8, 9.1, and 11.4 kg). Physical effort was quantified as the normalized peak activity from six unilateral trunk and upper limb muscles recorded via surface electromyography.Results As hypothesized, when an effect was present, aligning the hand grip with the center of mass resulted in the lowest level of muscle activity for all muscles. Whether a proximal or distal relationship between hand grip and the center of mass was more arduous differed by muscle: the deltoid, biceps, and extensor digitorum had greater activity with a center of mass located distal to the hand grip, while erector spinae and trapezius muscles had greater activity with a hand grip distal to the center of mass. Flexor digitorum activity was high in both misaligned conditions of hand grip. Mass, as has been previously documented, had a significant and direct effect on all muscle groups.Conclusions This work has implications for design features such as handles, buttons, or release mechanisms that can dictate where the user grips. By quantifying the impact of anteroposterior axis hand grip and center of mass location on the physical demands of manipulating an object, ergonomists and designers can consider the consequences of incorporating features that could misalign the hand grip location and center of mass.

Muscle quality index is associated with depression among non-elderly US adults.

PURPOSE: Muscle Quality Index (MQI), defined as the muscle strength per unit of muscle mass, is considered an emerging indicator of health and physical function. This study aims to explore the relationship between MQI and the risk of depression among non-elderly US adults. METHODS: This cross-sectional study collected data from participants aged between 20 and 59 years old, utilizing the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. The MQI was calculated by dividing the handgrip strength (HGS, kg) by the arm and appendicular skeletal muscle mass (ASM, kg). Depression assessments were conducted using the Patient Health Questionnaire (PHQ-9). The relationship between MQI and the risk of depression was explored by weighted logistic regression, smooth curve fitting, and subgroup analyses. RESULTS: A total of 4773 participants were included in this study. After adjusting for confounding factors, low MQI levels were identified as an independent risk factor for depression (OR = 0.800, 95%CI:0.668-0.957, P = 0.015). Smooth curve fitting analysis indicated a nonlinear relationship. Subgroup analysis did not identify any specific populations. CONCLUSIONS: Higher MQI levels were closely associated with a lower risk of depression among non-elderly US adults. MQI could enhance our understanding of the link between muscle and depression and might serve as a simple functional measure for evaluating and predicting depression.

Grip and pinch strength prediction models based on hand anthropometric parameters: an analytic cross-sectional study.

BACKGROUND: Hand grip strength (HGS) and pinch strength are important clinical measures for assessing the hand and overall health. OBJECTIVE: The aim of the present study is to predict HGS and pinch strength based on 1 hand anthropometry, and (2) body anthropometric parameters using machine learning. METHODS: A Secondary analysis was conducted on 542 participant aged 30-60 years from the Persian Organizational Cohort study in Mashhad University of Medical Sciences. Artificial Neural Network (ANN) were fitted as prediction model. The dataset was divided into two sets: a training set, which comprised 70% of the data, and a test set, which comprised 30% of the data. Various combinations of the hand anthropometric, demographic, and body anthropometric parameters were used to determine the most accurate model. RESULTS: The optimal HGS model, using the input of gender, body mass, and hand anthropometric parameters of length (both total length and palm), maximum width, maximum breadth, and hand shape index, achieved nearly equal accuracy to the model that incorporated all variables (RMSE = 5.23, Adjusted R2 = 0.67). As for pinch strength, gender, hand length (both total length and palm), maximum width, maximum breadth, hand shape index, hand span, and middle finger length came closest to the model incorporating all variables (RMSE = 1.20, Adjusted R2 = 0.52). CONCLUSION: This ANN model showed that hand anthropometric parameters of total length, palm length, maximum width, maximum breadth, and the hand shape index, emerge as optimal predictors for both HGS and HPS. Body anthropometric factors (e.g., body mass) play roles as predictors for HGS, whereas their influence on pinch strength appears to be less pronounced. LEVEL OF EVIDENCE: Level III (Diagnosis). TRIAL REGISTRATION: Not applicable.

Association of Social Network with Physical Function Among Community-Dwelling Older Adults in Rural Thailand: A Cross-Sectional Study.

Purpose: As the number of older adults in society increases, their social roles and networks, as well as their physical function, decrease. This study aimed to clarify the association between social networks and physical function among people aged ≥ 60 years in rural Thailand. Patients and Methods: This cross-sectional study was conducted in the Photharam District, Ratchaburi Province, Thailand. Participants were required to be at least 60 years old and be able to walk to the health center. Social networks were surveyed using the Thai version of Lubben Social Network Scores-6. Four physical function measures, namely hand grip strength, five-times-sit-to-stand test, timed up-and-go (TUG) test, and one-leg standing, were considered. Regression analysis was conducted with Lubben Social Network Scores-6 as the dependent variable and the four types of physical function as independent variables. Results: A total of 497 older adults aged 60 years or more were enrolled; 82 were males, and 412 were females. The mean Lubben Social Network Scores-6 was 14.9 ± 5.7. Only the TUG test was associated in a single and multiple regression analysis with the Lubben Social Network Scores-6 as the dependent variable and the four physical function assessments as independent variables. Conclusion: The TUG test assessed the smoothness of normal standing and walking, which are essential physical functions for maintaining a social network and meeting people. This suggests a relationship between physical function and social network.

Association of handgrip strength and risk of cardiovascular disease: a population-based cohort study.

BACKGROUND: Handgrip strength (HGS) is a simple and non-invasive measure of muscle strength, which has been proposed as a potential predictor of cardiovascular disease (CVD) risk. However, the association between HGS and CVD risk in the Chinese population remains underexplored. This study aims to investigate the relationship between handgrip strength and the risk of cardiovascular disease using data from the 2015-2018 China Health and Retirement Longitudinal Study (CHARLS). METHODS: We included 9369 participants aged 45 years and older from the CHARLS dataset. HGS was measured using a dynamometer, and the average of three measurements for each hand was recorded. Participants were categorized into quartile based on their HGS levels. The primary outcome was the incidence of CVD, including heart diseases, and stroke, obtained through self-reports and verified by medical records. Cox proportional hazards models were used to estimate hazard ratio (HR) and 95% confidence interval (95% CI) for the association between HGS and CVD risk, and using restricted cubic spline to construct a linear relationship, adjusting for potential covariates including demographic factors, lifestyle factors, body composition, and health status. The robustness of the results was determined by stratified analysis. RESULTS: During a mean follow-up of 3 years, 1198 CVD events were reported, including 851 heart diseases and 427 strokes. After multivariate adjustment, the HR and 95% CI corresponding to CVD risk for participants in the HGS 2nd, 3rd, and 4th quartiles compared with those in the lowest quartile were 0.824 (95% CI: 0.692-0.981), 0.756 (95% CI: 0.614-0.929), 0.625 (95% CI: 0.484-0.807) (Pfor trend: <0.001), respectively. All subgroups analyzed found similar results. For CVD components, HGS was similarly linearly associated with heart disease, and had an inverted U-shape relationship with the risk of stroke, with a potential threshold of 23.16 kg. CONCLUSIONS: Higher HGS was significantly associated with decreased risk of CVD, including heart disease and stroke, in middle-aged and older adults, suggesting that HGS may be a promising measurable predictor of CVD in this population.

Effects of household solid fuel use on sarcopenia in middle-aged and older adults: evidence from a nationwide cohort study.

Background: Household solid fuel use is common in global households and has been linked to changes in handgrip strength and muscle mass. However, whether household solid fuel use results in sarcopenia over time is not well elaborated. Methods: This study employed data from the 2011-2015 China Health and Retirement Longitudinal Study (CHARLS) that recruited 4,932 participants ≥45 years. The Cox proportional hazards regression model was conducted to estimate the impact of household solid fuel use for cooking and heating on sarcopenia development. The analysis was further stratified based on geographic position. Mediation analysis was employed to estimate the potential mediating effects of cognitive function and depressive symptoms associated with household solid fuel use and sarcopenia. Results: Over the 4-year follow-up, 476 cases of sarcopenia were reported (9.65%), with 254 in males (10.82%) and 222 in females (8.59%). Cooking and heating with solid fuels increased the risk of sarcopenia (Cooking: HR 1.401, 95% CI 1.138-1.724; Heating: HR 1.278, 95% CI 1.040-1.571). Crop residue/wood burning correlated with higher sarcopenia risk (Cooking: 1.420, 95% CI 1.147-1.758; Heating: 1.318, 95% CI 1.062-1.635). Switching to clean cooking fuels significantly reduced sarcopenia risk (HR 0.766, 95% CI 0.599-0.979). Heating with solid fuels was associated with higher sarcopenia risk only in southern China (HR 1.375, 95% CI 1.102-1.715). Additionally, cognitive function and depressive symptoms partially mediated the link between household solid fuel use and sarcopenia. Conclusion: Household use of solid fuels is associated with an increased risk of sarcopenia. Restricting the use of solid fuels and focusing on cognitive function and depressive symptoms in solid fuel users can help decrease sarcopenia development.

Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia.

Exercise is increasingly recognized as an effective strategy to counteract skeletal muscle aging and conditions such as sarcopenia. However, the specific exercise-induced genes responsible for these protective effects remain unclear. To address this, we conducted an eight-week aerobic exercise regimen on late-middle-aged mice and developed an integrated approach that combines mouse exercise-induced genes with human GWAS datasets to identify causal genes for sarcopenia. This approach led to significant improvements in the skeletal muscle phenotype of the mice and the identification of exercise-induced genes and miRNAs. By constructing a miRNA regulatory network enriched with transcription factors and GWAS signals related to muscle function and traits, we focused on 896 exercise-induced genes. Using human skeletal muscle cis-eQTLs as instrumental variables, 250 of these exercise-induced genes underwent two-sample Mendelian randomization analysis, identifying 40, 68, and 62 causal genes associated with sarcopenia and its clinical indicators-appendicular lean mass (ALM) and hand grip strength (HGS), respectively. Sensitivity analyses and cross-phenotype validation confirmed the robustness of our findings. Consistently across the three outcomes, RXRA, MDM1, RBL2, KCNJ2, and ADHFE1 were identified as risk factors, while NMB, TECPR2, MGAT3, ECHDC2, and GINM1 were identified as protective factors, all with potential as biomarkers for sarcopenia progression. Biological activity and disease association analyses suggested that exercise exerts its anti-sarcopenia effects primarily through the regulation of fatty acid oxidation. Based on available drug-gene interaction data, 21 of the causal genes are druggable, offering potential therapeutic targets. Our findings highlight key genes and molecular pathways potentially responsible for the anti-sarcopenia benefits of exercise, offering insights into future therapeutic strategies that could mimic the safe and mild protective effects of exercise on age-related skeletal muscle degeneration.

Human-to-Robot Handover Based on Reinforcement Learning.

This study explores manipulator control using reinforcement learning, specifically targeting anthropomorphic gripper-equipped robots, with the objective of enhancing the robots' ability to safely exchange diverse objects with humans during human-robot interactions (HRIs). The study integrates an adaptive HRI hand for versatile grasping and incorporates image recognition for efficient object identification and precise coordinate estimation. A tailored reinforcement-learning environment enables the robot to dynamically adapt to diverse scenarios. The effectiveness of this approach is validated through simulations and real-world applications. The HRI hand's adaptability ensures seamless interactions, while image recognition enhances cognitive capabilities. The reinforcement-learning framework enables the robot to learn and refine skills, demonstrated through successful navigation and manipulation in various scenarios. The transition from simulations to real-world applications affirms the practicality of the proposed system, showcasing its robustness and potential for integration into practical robotic platforms. This study contributes to advancing intelligent and adaptable robotic systems for safe and dynamic HRIs.

The Effect of Tai Chi (Bafa Wubu) Training and Artificial Intelligence-Based Movement-Precision Feedback on the Mental and Physical Outcomes of Elderly.

(1) Background: This study aims to compare the effects of AI-based exercise feedback and standard training on the physical and mental health outcomes of older adults participating in a 4-week tai chi training program. (2) Methods: Participants were divided into three groups: an AI feedback group received real-time movement accuracy feedback based on AI and inertial measurement units (IMUs), a conventional feedback group received verbal feedback from supervisors, and a control group received no feedback. All groups trained three times per week for 8 weeks. Outcome measures, including movement accuracy, balance, grip strength, quality of life, and depression, were assessed before and after the training period. (3) Results: Compared to pre-training, all three groups showed significant improvements in movement accuracy, grip strength, quality of life, and depression. Only the AI feedback group showed significant improvements in balance. In terms of movement accuracy and balance, the AI feedback group showed significantly greater improvement compared to the conventional feedback group and the control group. (4) Conclusions: Providing real-time AI-based movement feedback during tai chi training offers greater health benefits for older adults compared to standard training without feedback.

Bioelectrical impedance analysis-derived phase angle predicts possible Sarcopenia in patients on maintenance hemodialysis: a retrospective study.

BACKGROUND: The prevalence of possible sarcopenia is notably high among maintenance hemodialysis (MHD) patients. Possible sarcopenia, defined as a decrease in muscle strength and/or somatic function, is an early and reversible condition between non-sarcopenic and sarcopenia, and early recognition and intervention for possible sarcopenia is important for preventing adverse outcomes and improving the quality of life of these patients. This study aimed to establish a simple and effective model for screening and identifying MHD patients at high risk of possible sarcopenia by using 50 kHz-Whole Body Phase Angle (PhA), with a specific focus on gender differences. METHODS: This prospective cross-sectional study was conducted from September to December 2023 at the Wenjiang Hemodialysis Center in the Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China. A total of 244 MHD patients, including 130 males and 114 females, were enrolled. Data were collected prospectively, including demographic information and physical measurements. All participants provided informed consent before enrollment. Measurements were taken post-dialysis to ensure consistency. The whole-body phase angle was measured using the InBody S10 device, grip strength was measured using an electronic grip strength tester, and physical function was assessed by the Short Physical Performance Battery (SPPB). The Skeletal Muscle Index (SMI) was also calculated. RESULTS: A total of 244 patients receiving hemodialysis were enrolled in this study. Among these, 109 patients were categorized as non-sarcopenic, 111 as having possible sarcopenia, and 24 as sarcopenic. The prevalence of sarcopenia among MHD patients is 9.8%, while the prevalence of possible sarcopenia is 45.5%. The receiver operating characteristic (ROC) curve analysis showed that for male patients, the AUC of PhA for predicting possible sarcopenia was 0.798, with a sensitivity of 80.36%, specificity of 69.70%, and a cutoff value of 6.20°. For female patients, the AUC of PhA was 0.701, with a sensitivity of 70.91% and specificity of 62.79%, and a cutoff value of 5.70°. CONCLUSIONS: PhA may be a useful and simple predictor of the risk of possible sarcopenia in MHD patients, and more research is needed to further promote the use of PhA in possible sarcopenia.

Six-Week Supplementation with Creatine in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Magnetic Resonance Spectroscopy Feasibility Study at 3 Tesla.

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic medical condition with no specific pharmacological treatment. Creatine, a nutrient essential for maintaining energy homeostasis in the cells, is a candidate for interventions in ME/CFS. METHODS: Fourteen participants with ME/CFS received supplementation with 16 g creatine monohydrate for 6 weeks. Before starting creatine and on the last day of treatment, participants underwent brain magnetic resonance spectroscopy (MRS) scanning of the pregenual anterior cingulate cortex (pgACC) and dorsolateral prefrontal cortex (DLPFC), followed by symptom, cognition, and hand-grip strength assessments. RESULTS: Eleven participants completed the study. Creatine treatment increased creatine concentration in both the pgACC and DLPFC (p = 0.004 and 0.012, respectively), decreased fatigue and reaction time (RT) on congruent and incongruent trials of the Stroop test (p = 0.036 and 0.014, respectively), and increased hand-grip strength (p = 0.0004). There was a positive correlation between increases in pgACC creatine and changes in RT on Stroop congruent and incongruent trials (p = 0.048 and p = 0.022, respectively). Creatine was well tolerated, and none of the participants stopped treatment. CONCLUSION: Creatine supplementation over six weeks in ME/CFS patients increased brain creatine and improved fatigue and some aspects of cognition. Despite its methodological limitations, this study encourages placebo-controlled investigations of creatine treatment in ME/CFS.

The Relation between Parameters of Physical Performance and Depression in Consecutive Hospitalized Geriatric Patients with Heart Failure.

BACKGROUND: In the geriatric population, the risk of cardiometabolic diseases is strongly influenced by comorbidities. The aim of the study was to estimate the prevalence of depression among hospitalized patients with heart failure (HF) and to assess the relation between physical performance and depression in this population. METHODS: We included consecutive hospitalized patients with HF aged >65 years. The depression symptoms were evaluated using the Geriatric Depression Scale (GDS), the physical performance was assessed using the grip strength measurements, the Back Scratch Test, the Timed Up and Go Test (TUGT), the Five Times Sit to Stand Test (5 × SST), and the 6 min walk test. RESULTS: We included 206 patients (134 females and 72 males, median age 82 years (77-86) years). Altogether, 33% of participants had signs of depression. The association was found between depression severity and economic status (p = 0.001), stressful events (p = 0.005), self-reported general health status (p = 0.001), and heart failure severity assessed by the New York Heart Association class (NYHA), p = 0.003. The Back Scratch Test, the TUGT, and the 5xSST were associated with depression severity in a univariable regression analysis (ß coefficient 0.04 [95% CI 0.00-0.08], 0.20 [95% CI 0.12-0.27], 0.18 [95% CI 0.07-0.27], respectively); however, when adjusted for co-factors, the TUGT and the 5xSST (0.17 [95% CI 0.08-0.26] and 0.14 [95% CI 0.02-0.26], respectively) were significantly related to the GDS score. Grip strength and the 6 min walk test were not related to the GDS score in the univariable nor multivariable analysis. These findings were confirmed in the logistic analyses. CONCLUSIONS: Our study indicated a high incidence of depression among elderly hospitalized patients with heart failure. Depression severity in older patients with HF is related to physical performance decline as assessed by the Timed Up and Go Test and the Five Times Sit to Stand Test. Grip strength and the 6 min walk test are not related to the GDS score in this population.