中国高校研究生体育锻炼与全面健康的相关性——基于BP神经网络的实证研究

The Correlation between Physical Exercise and Comprehensive Health of Chinese Graduate Students:An Empirical Research Based on BP Neural Networks

针对目前研究生体育锻炼和健康不容乐观的有关情况,对包括"双一流"建设大学等在内的全国171所高校的8208名研究生进行了有关体育锻炼与健康问题的问卷调查和量表评定,并从全面健康的三个维度(生理健康、心理健康、社会健康)入手,系统立体地研究分析研究生体育锻炼与全面健康的相关性问题。同时,通过选取是否运动、锻炼形式、科学运动、重视程度、运动量(运动强度、运动时间、运动频率)等敏感指标,设计建立BP神经网络,定量地求出体育锻炼对研究生生理、心理、社会和全面健康的影响系数,定性地研究分析体育锻炼对研究生全面健康的促进作用,并提出有关研究生健康促进的建议,这对研究生全面健康干预措施的决策具有一定的指导性作用。

Under the situation that the physical exercise and comprehensive health of the graduate students are not optimistic, this paper takes investigation and evaluation among 8208 graduate students in 171 universities, including the universities on the list of ＂Double First Class Project＂. The research uses the quantitative analysis methods for the correlation research between the physical exercise and the comprehensive health, which contains physical health, psychological health, and social health. Based on the BP neural networks, the correlation coefficients between physical exercise and comprehensive （physical health, psychological health and social health） are obtained by choosing seven sensitive factors as input variables including exercise or non-exercise, mode of motion, sport science, emphasis on exercise, and amount of exercise （exercise intensity, exercise duration and exercise frequency）. The quantitative results reveal the promotional activities of physical exercise in the improvement of comprehensive health. Finally, some substantive recommendations have been made, which play a guiding role in determining the intervention of physical exercise to improve the comprehensive health of the graduate students.