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Objective:To analyze the exercise and rehabilitation training programs for children's balance ability using scoping review. Methods:The literatures about children's balance ability, exercise and rehabilitation training were retrieved from CNKI, VIP, PubMed and Web of Science, until 2021-03-17. The authors, published time, countries, objects and their ages, study tools, interventions and the time, and outcomes were extracted. Results:A total of 2679 literatures were returned, 34 of which were enrolled, which came from 13 countries, and were almost published in journals of medicine, sports science, and rehabilitation and disabilities. The literatures were mainly published after 2010, investigate with measurements and scales. The measurements mainly included foot pressure system, force platform, Biodex balancer, etc.; and the scales mainly included Berg Balance Scale, Pediatric Balance Scale, Gross Motor Function Measure, Pediatric Evaluation of Disability Inventory, and Bruininks-Oseretsky Test of Motor Proficiency, etc. There were four typies of program: balance training, interactive computer games, virtual reality and sports events. Interventions for sick children included strength training, whole-body vibration training, Wii-Fit balance games and virtual reality treadmill training, etc. Sports for healthy children mainly included skating, Taiji Quan and gymnastics, etc. Conclusion:There are differences in the researches for children's balance ability at home and abroad. The abroad researches focus on the children with various diseases, in a larger age range, using more evaluation tools and more intervention methods. However, Chinese researches are usually for a longer intervention time, more subjects, and focusing more on healthy children. It is needed to pay more attention on children with diseases before three years old, for early diagnosis and treatment. Long-term effects should be observed other than immediateness after intervention.
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BACKGROUND: Foot strike patterns in adults during running have always been the focus of worldwide research, and the strike patterns of children are also something that cannot be ignored. OBJECTIVE: Using biomechanical methods to explore the differences in kinematics and kinetics of children in different strike patterns during the running process, and to provide a scientific basis for children’s correct way of running. METHODS: Seventy-four children were randomly selected from a public kindergarten in Haidian District, Beijing, and were divided into 3-year-old group, 4-year-old group and 5-year-old group. The kinematics and kinetics data of enrolled children in different strike patterns during running were acquired simultaneously using the BTS infrared motion capture system, the Kistler three-dimensional force table and the VIXTA video analysis system. The muscle strength index of the lower limbs was calculated using the Anybody 5.2 simulation modeling software. Before participation in the trial, children’s parents were fully informed of study protocol and signed the informed consent form. The trial protocol met the relevant ethical requirements of Beijing Normal University. RESULTS AND CONCLUSION: (1) In the 3-year-old group, the proportion of mid foot strike (MFS) was the highest, and the proportion of fore foot strike (FFS) was the lowest. In the 5-year-old group, the proportion of MFS was the lowest, and the proportion of FFS was the highest. The rear foot strike (RFS) extension time was longer than that of FFS (P < 0.01) and MFS (P < 0.05). (2) At the moment of landing, the flexion angle of FFS was greater than that of RFS (P < 0.01) and MFS (P < 0.05), and the flexion angle of MFS was greater than that of RFS (P < 0.05). The hip adduction-abduction angle of RFS was greater than that of FFS (P < 0.01) and MFS (P < 0.05). The maximum hip abduction angle of RFS was greater than that of FFS (P < 0.01) and MFS (P < 0.01). The amount of joint changes in the RFS hip adduction and abduction was greater than that of FFS (P < 0.01) and MFS (P < 0.05). The minimum flexion and extension of RFS was greater than that of FFS (P < 0.05). The maximal hip adduction-abduction angular velocity of RFS was greater than that of FFS (P < 0.05), and the maximal knee adduction-abduction angular velocity of RFS was greater than that of FFS (P < 0.01) and MFS (P < 0.05). (3) The muscle strength of the short bones of the tibia, the long tibia and the third metatarsal muscle of FFS and MFS was greater than that of RFS (P < 0.05). The bundle muscle strength of the medial femoral muscle, the lateral femoral muscle bundle, the lateral femoral muscle bundle, the medial femoral muscle bundle, the medial femoral muscle bundle, and the medial femoral muscle of RFS were greater than that of FFS (P < 0.01) and MFS (P < 0.05). (4) In the 3-6 years old, children often run in the heel or full-foot landing mode to meet their stability during the running process. As the age increases, the running pattern with the forefoot landing gradually appears. To keep the movement steady, RFS can trigger more hip and knee frontal motions, FFS and MFS can offer more muscle strength on the anterior and posterior sides of the calf, while RFS can offer more muscle strength on the anterior side of the thigh.
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The objective data from the three-dimensional gait analysis equipment test is complex and difficult to explain in the actual evaluation. In order to solve it, the gait index is proposed. The purpose of this review is to analyze the most commonly used gait evaluation index in clinical practice and discuss its calculation methods, advantages and limitations. The results showed that Gait Deviation Index (GDI) and Gait Profile Score (GPS) were the two most widely used indexes, but the operation of GDI was complex; the selection of parameters of Gillette Gait Index (GGI) was poor in objectivity, and the application was limited; the electromyography data is very important in the complete evaluation of gait mode, but the combination with gait indices was not close at present. The influence of gait speed has not been discussed in researches about indices except GGI.
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It is important to predict fall risk for the old adults. Gait and imbalance are generally considered as the greatest risk for falls. Largest Lypunov Exponent (LyE) reflects the gait stability, and it needs to improve in standardization and acceptable algorithms for clinical use. Gait indices are correlated with each other, with their own advantages and limitations. Gait Deviation Index is representative and reliable, and easy to calculate. Gait variability can predict the possibility of falls in the old adults. The combination of all the indices may improve the accuracy of falls risk prediction for the old adults.