(1) Background: Attention Deficit Hyperactivity Disorder (ADHD) is a common mental health condition in children that can significantly impact their quality of life. In this study, we compared the effectiveness of virtual reality (VR) technology with traditional rehabilitation training through meta-analysis, aiming to provide a basis for the clinical optimization of rehabilitation strategies. (2) Methods: The study was registered in PROSPERO, and a search was conducted using the subject terms “virtual reality” and “attention deficit hyperactivity disorder” across six databases. The search yielded 10 randomized controlled trials (RCTs) that met the inclusion criteria. The data were analyzed using a random-effects model in statistical software. (3) Results: The study found that VR exercise game technology significantly outperformed the control group in terms of both the primary outcome (executive function and cognitive function) and secondary outcomes (attention, memory, and task switching) in children under the age of 18 with ADHD (children under 18 years of age are defined as adolescents and children). Sensitivity analyses confirmed the robustness of the five outcome measures. Bias tests revealed no publication bias for the primary outcome, but some bias for the secondary outcomes, which did not affect the overall results. (4) Conclusion: VR motor games significantly improved the executive and cognitive functions of children with ADHD.

Background: Tai Chi (Bafa Wubu) is a new type of simplified Tai Chi widely practiced by Tai Chi enthusiasts that has developed and perfected simplified Tai Chi movement and enriched Tai Chi practice methods. When practicing, Tai Chi athletes and enthusiasts can choose the Bafa Wubu movements to practice according to their physical conditions. The purpose of this article is to discuss the mechanism by which Bafa Wubu promotes lower extremity exercise from the perspective of exercise biomechanics.Objectives: This article aims to explore the scientific training methods and technical characteristics of Bafa Wubu, and its contribution to comprehensive exercise of the lower extremities, by analyzing the biomechanical characteristics of the lower extremities of participants who practice Bafa Wubu at different levels and by comparing their ground reaction force, lower limb joints, and muscles during Bafa Wubu.Methods: A total of 16 male participants were recruited and divided into an amateur group (N= 8) and a professional group (N= 8). The data were collected by a BTS 3D infrared-based motion capture system, and Kistler 3D force plate. The lower extremity joint forces and muscle strength were calculated by anybody simulation software with inverse dynamics.Results: During elbowing and leaning sideways with steps sideways (ELS), the ground reaction force of the professional group was significantly higher than that of the amateur group in the sagittal, vertical, and frontal axes (P< 0.01). While stepping forward, backward, and sideways, the professional group’s joints loading at the hip, knee, and ankle was always higher in the vertical direction (P< 0.01). Furthermore, during warding off with steps forward (WOF), laying with steps forward (LF), and rolling back with steps backward (RBB), hip joint loading increased in the med–lat direction. During actions with steps backward and sideways, the professional group’s ankle flexion/extension torque and hip abduction/rotation torque were significantly larger than those of the amateur group (P< 0.01). Different actions in Bafa Wubu activate muscles to different degrees, whereas the iliacus is mainly responsible for stabilizing postures when practitioners perform standing knee lifting motions.Conclusions: Professional groups who have been practicing Tai Chi (Bafa Wubu) for a long time have higher ground reaction force, and the force on the three joints of the lower extremities is different for various movements, which has positive significance for exercising the joints of the lower extremities. In addition, various motions activate muscles of different types at different levels. For amateurs to practice different movements to stimulate the muscles, targeted areas of practice promote the lower extremity muscles’ synergistic force. In summary, the muscles and joints of the lower extremity can obtain comprehensive and balanced exercise through Bafa Wubu.

(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.

Background: Stroke, which is a common clinical cerebrovascular disease, causes approximately 83% of survivors to suffer from balance impairments. Balance and gait training (BGT) is widely used to restore balance in patients with stroke. However, its wide variety presents clinicians with a dilemma when selecting interventions. This study aimed to compare and rank BGT interventions by quantifying information based on randomized controlled trials (RCTs).Methods: We conducted a network meta-analysis (NMA) of non-gait-trained controls and head-to-head RCTs and compared the effects of 12 BGT interventions. A total of nine literature databases, including Medline, Embase, Cochrane Library, Web of Science, Scopus, SPORTDiscus, ClinicalTrials.gov, CNKI, and Chinese biomedical literature databases, were searched from their database inception to August 2023. Two authors independently selected studies and extracted data. The difference in outcomes, which were expressed as standardized mean differences and confidence intervals (CIs) of 95%, were explored in this meta-analysis.Results: A total of 66 studies with 1,933 participants were included. Effect size estimates showed that not all BGT interventions were more effective than controls, with treadmill training as the least effective for balance test batteries (SMD = −0.41, 95% CI [−1.09, 0.27]) and proactive balance (SMD = −0.50, 95% CI [−1.14, 0.14]). Body-weight-supported treadmill training with external stimulation was most effective for proactive balance and dynamic steady-state balance (SMD = 1.57, 95% CI [−0.03, 3.16]); SMD = 1.18, 95% CI [0.67, 1.68]. Virtual reality gait training (SMD = 1.37, 95% CI [0.62, 2.11]) had the best effect on improving balance test batteries, while dual-task BGT (SMD = 1.64, 95% CI [0.50, 2.78]) had the best effect on static steady-state balance. After analyses for possible impact covariates, the findings through the outcomes did not change substantially. Confidence in the evidence was generally low or very low.Conclusion: This NMA suggested that virtual reality gait training was the most effective BGT modality for improving balance test batteries. Body-weight support treadmill training with external stimulation was the most effective for improving active and dynamic balance. In addition, dual-task BGT was the best choice for improving static balance. However, balance is a multidimensional concept, and patients’ different needs should be considered when selecting BGT.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022316057, ID: CRD42022316057.

The positive impact of mind-body movement therapy on mental health has been confirmed, but the current effect of various mind-body movement-specific therapies on improving the negative psychology of college students is controversial. This study compared the effects of six mind-body exercise (MBE) therapies on improving negative psychological symptoms in college students. The study found that Tai Chi (standardized mean difference [SMD] = −0.87, 95% confidence interval [CI] (−1.59, −0.15), p < 0.05), yoga (SMD = −0.95, 95% CI (−1.74, −0.15), p < 0.05), Yi Jin Jing (SMD = −1.15, 95% CI (−2.36, −0.05), p=<0.05), Five Animal Play (SMD = −1.1, 95% CI (−2.09, −0.02), p < 0.05), and Qigong Meditation (SMD = −1.31, 95% CI (−2.2, −0.4), p < 0.05) improved depressive symptoms in college students (p < 0.05). Tai Chi (SMD = −7.18, 95% CI (−13.18, −1.17), p = 0.019), yoga (SMD = −6.8, 95% CI (−11.79, −1.81), p = 0.008), and Yi Jin Jing (SMD = −9.21, 95% CI (−17.55, −0.87), p = 0.03) improved college students' anxiety symptoms. It shows that the six MBE therapies are effective in improving anxiety and depression in college students.

(1) Background: The objective of this study was to recognize tai chi movements using inertial measurement units (IMUs) and temporal convolutional neural networks (TCNs) and to provide precise interventions for elderly people. (2) Methods: This study consisted of two parts: firstly, 70 skilled tai chi practitioners were used for movement recognition; secondly, 60 elderly males were used for an intervention study. IMU data were collected from skilled tai chi practitioners performing Bafa Wubu, and TCN models were constructed and trained to classify these movements. Elderly participants were divided into a precision intervention group and a standard intervention group, with the former receiving weekly real-time IMU feedback. Outcomes measured included balance, grip strength, quality of life, and depression. (3) Results: The TCN model demonstrated high accuracy in identifying tai chi movements, with percentages ranging from 82.6% to 94.4%. After eight weeks of intervention, both groups showed significant improvements in grip strength, quality of life, and depression. However, only the precision intervention group showed a significant increase in balance and higher post-intervention scores compared to the standard intervention group. (4) Conclusions: This study successfully employed IMU and TCN to identify Tai Chi movements and provide targeted feedback to older participants. Real-time IMU feedback can enhance health outcome indicators in elderly males.