关键词: K-means算法, 总评等级, 不合格, 大学生, 健康促进

Abstract: The literature review method, mathematical statistics method and K-means algorithm are used to categorize and analyze mean item scores, data of the three major modules-body shape, body functions and body quality-and total scores of university students, both male and female, of years 2018~2022 unqualified in physical health tests. The results show that the item mean scores in the modules vary, modules of body shape and functions have little influence on the total scores, and the actual numbers of categories confirmed by the “elbow method” are obviously different as the body quality module involve too many items. Based on these analysis results, the following health promotion strategies are suggested to university students unqualified in the student physical health tests in overall score: strengthening health education and psychological counseling, applying personalized evaluation and guidance, using some person-specific physical fitness training, and adopting digital supervision and feedback health promotion strategies. These strategies aim at analyzing the physical health test data of such students and applying exercise intervention after feeding back the results, so as to reduce the test unqualificatoin rate.

Key words: K-means algorithm, overall grade, unqualification, college student, health promotion