Construction of Sports and Health Data Resources and Transformation of Teachers' Orientation Based on Web Database

Effects of game-based physical education program on enjoyment in children and adolescents: a systematic review and meta-analysis

OBJECTIVE

The objective of this study was to conduct a systematic review to summarize and assess the advancements lately made on the enjoyable impacts of game-based physical education interventions on children and adolescents. Additionally, it attempted to identify the effects and variables influencing the enjoyable outcomes of children and adolescents' engagement in physical education games, through meta-analysis.

METHODS

This study involves a comprehensive search of different databases like Web of Science, PubMed, Embase, EBSCOhost, Cochrane, and Scopus. Specific criteria are established for the selection process to make sure the relevant literature included. The quality assessment of the included researches is conducted based on the guidelines outlined in the Cochrane 5.1 handbook. Review Manager 5.3 software is employed to synthesis the effect sizes. Additionally, bias is assessed using funnel plots, and to identify potential sources of heterogeneity, subgroup analyses are performed.

RESULTS

A total of 1907 academic papers, out of which 2 articles were identified via other data sources. The present study examined the impact of a pedagogical intervention involving physical education games on the enjoyment experienced by children and adolescents. The results indicated a significant positive effect (MD = 0.53, 95%CI:[0.27,0.79], P < 0.05) of this intervention on enjoyment. Subgroup analyses further revealed that both boys (MD = 0.31, 95%CI:[0.13,0.50], P < 0.05) and girls (MD = 0.28, 95%CI:[0.05,0.51], P < 0.05) experienced increased pleasure compared to traditional physical education. Additionally, children under 12 years of age (MD = 0.41, 95%CI:[0.17,0.64], P < 0.05) benefited from sessions lasting at least 30 minutes or more per session (MD = 0.40, 95%CI:[0.19,0.60], P < 0.05), occurring 1 to 3 times per week (MD = 0.28, 95%CI:[0.16,0.40], P < 0.05), and lasting for more than 3 weeks (MD = 0.81, 95%CI:[0.29,1.34], P < 0.05). These findings suggest that the implementation of physical education games can be an effective approach to teaching this subject.

CONCLUSIONS

1) Interventions using physical games have been shown to yield beneficial outcomes in terms of enhancing the enjoyment experienced by children and adolescents. 2) The effectiveness of treatments aimed at promoting enjoyment among children and adolescents is influenced by several aspects, including gender, age, duration and frequency of physical activity, as well as the specific cycle of activity used.

Retracted: Construction of Sports and Health Data Resources and Transformation of Teachers' Orientation Based on Web Database

[This retracts the article DOI: 10.1155/2022/4372406.].

System Construction of Athlete Health Information Protection Based on Machine Learning Algorithm

The exercise volume and exercise level can be quantitatively assessed by measuring and collecting athletes’ health and exercise data. The protection of athletes’ health information has lately become an important research topic due to a rise in sports activities. However, due to the nature of the data and the limits of protection models, protecting athlete health data is a complex undertaking. Machine learning and blockchain have caused worldwide technological innovation, and it is bound to bring deep modifications to the sports industry. The main purpose of blockchain is security, decentralization, traceability, and credibility of the athlete’s health data protection and gathering system. To progress and increase the sports industry and methodically assess the physical fitness of sportspersons’ health information, this study concentrates on the Machine Learning and Blockchain-based Athlete Health Information Protection System (MLB-AHIPS) proposed in the sports industry. The ML technique is utilized to clean and handle the information to comprehend the recognition and secure managing of the sportsperson’s fitness information. The system uses attribute-based access control, which permits dynamic and fine-grained access to athlete health data, and then stores the health data in the blockchain, which can be secured and tamper-proof by expressing the respective smart contracts. The simulation outcomes illustrate that the suggested MLB-AHIPS attains a high accuracy ratio of 97.8%, security ratio of 98.3%, an efficiency ratio of 97.1%, scalability ratio of 98.9%, and data access rate of 97.2% compared to other existing approach.