基于大数据的青少年学生体质健康评价

Chunyan Fan
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引用次数: 2

摘要

在全球范围内,人们普遍认为年轻一代的身体健康状况正在不断下降,这在包括中国在内的许多国家都没有引起人们的注意。因此,科学地研究评价指标体系,有效地询问年轻一代特别是学生的健康状况,具有十分重要的意义。将进一步调查有关健康问题的结果,以找到改善现状的最佳解决办法。本文结合我国学生青少年体质健康评价指标,介绍了青少年体质健康评价的新时代,应以“健康质量指标”为重点,通过测试和研究方法分析指标的客观性和适用性。采用仿真实验研究的方法验证了指标的科学性和有效性。优化青少年学生体质健康评价指标,有助于科学、准确地评价青少年健康质量。此外,它可以有效地改善青少年面临的身体健康问题。提出的模型实现青少年健康质量评价指标,通过大数据收集西北某地区青少年学生的身体健康信息和运动数据,并作为研究对象进行研究。进一步,通过对有氧能力评价指标相关数据的整理和分析,结果表明中国目前使用的中跑测试值与在跑步机上测得的最大摄氧量相对值呈负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Physical Health Evaluation of Adolescent Students Based on Big Data
Globally, it is widely accepted that the physical health of the young generation is continuously declining which remained unnoticed in many countries including China. Therefore, it is very important to scientifically investigate the evaluation index system and effectively interrogate the current health position of the young generation especially students. The results regarding health issues will be further investigated in terms of finding the optimal solutions for improving the status quo. Considering adolescent physical health evaluation indicators of Chinese students, this paper introduces the new era of adolescent physical health evaluation which should focus on “health quality indicators” for analyzing the objectivity and applicability of the indicators through testing and research methods. The method of simulation experiment research is used to demonstrate the scientificity and validity of the index. The optimization of the physical health evaluation indicators of adolescent students helps in assessing the health quality of adolescents, scientifically and accurately. In addition, it can effectively improve the physical health problems faced by adolescents. The proposed model achieves the evaluation indicators of adolescent health quality, collects physical health information and exercise data of adolescent students in a certain area of the northwest through big data, and conducts research as the research object. Furthermore, through the collation and analysis of the correlation data of the aerobic capacity evaluation indicators, the results show that the mid-run test value currently used in China is negatively correlated with the relative value of the measured maximum oxygen uptake on the treadmill.
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