BACKGROUND: Because of easy to cause injury and high cost, the biopsy technique and electromyography image analysis are unsuitable for muscle fiber type determination, respectively. OBJECTIVE: To establish a simple method to calculate the composition percentage of human slow muscle fiber types. METHODS: Totally 180 male students from College of Physical Education, Yichun University were enrolled as subjects. The test subjects underwent electromyography test and some related indicators examination. All the data were regressively analyzed for statistical analysis. The results were spread and verified in students from the College of Physical Education, Guangxi Normal University at the same age. RESULTS AND CONCLUSION: The time for static isometric knee extension, the number of push-ups, 1 500 m run time, and the absolute value of maximal oxygen uptake were closely correlated with electromyography indicators and slow muscle fibers composition. Then, a simple ternary regression equation of composition percentage of slow muscle fibers was calculated using regression analysis and curve analysis male students majored in physical education. The verification of this equation was satisfactory in the male students from the College of Physical Education, Guangxi Normal University at the same age. These findings indicate that this equation can be used to calculate the composition percentage of slow muscle fibers.%背景:肌纤维类型的判定方法中,活检具有损伤性,肌电图图像分析价格较高,在基层选材中不宜操作.目的:建立较为简易的推算人体慢肌纤维类型百分组成的方法.方法:选择180 名宜春学院体育学院在校男大学生为研究对象,测试受试者肌电图图像及一些相关测试指标,对所测试数据进行回归分析法进行统计分析.然后将结果在广西师范大学体育学院相同年龄段在校体育专业男大学生中进行推广验证.结果与结论:相关性分析发现等长静力伸膝时间、俯卧撑次数、1 500 m 跑时间、最大吸氧量绝对值等与受试者肌电图指标和慢肌纤维百分组成均存在较高的相关性,再经回归分析和曲线评估分析之后推算出在校体育专业男大学生慢肌纤维百分组成的简易三元回归方程.在广西师范大学体育学院相同年龄段在校体育专业男大学生中进行推广验证结果较为理想.提示此方法能够建立推算人体慢肌纤维类型百分组成.
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