基于渐增负荷运动的VO2max预测模型研究  被引量:1

Research on Prediction Model of VO2max Based on Increasing Load Exercises

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作  者:王飞[1] 付海霞 王新雨 WANG Fei;FU Hai-xia;WANG Xin-yu(Sports Science Institute,Shanxi University,Taiyuan,Shanxi 030006,China;School of Physical Education,Shanxi University,Taiyuan,Shanxi 030006,China)

机构地区:[1]山西大学科学研究所,山西太原030006 [2]山西大学体育学院,山西太原030006

出  处:《体育研究与教育》2020年第3期89-96,共8页Sports Research and Education

基  金:山西省“1311工程”(1331KIRT);山西省2019年度研究生教育创新计划项目(2019SY064)。

摘  要:目的:探讨渐增负荷运动的最大摄氧量(VO2max)与运动员心肺功能关系。方法:选取25名高校国家级男性游泳运动员获得渐增负荷运动下心肺功能数据集,基于偏相关系数和贝叶斯线性回归实现数据降维和重要指标筛选,构建不同参数组合的线性回归模型。结果:(1)偏相关分析揭示了11种心肺功能指标与VO2max显著相关;(2)贝叶斯线性回归揭示了与VO2max关联最强的五个指标:摄氧量/心率(VO2/HR)、代谢当量(METS)、体重(Weight)、摄氧量/体重(VO2/Kg)和每分钟通气量(VE);(3)模型性能检验结果揭示了四种模型均具有较高可靠性(均R^2>0.998,P<0.001)。结论:VO2max与HR具有非直接线性关系;与Weight具有多重关系;与MET和VE的关系密切;最优预测模型为:VO2max=-1656.261+3.401×VE+63.628×VO2/HR+141.724×METS+21.915×Weight。The papers aims to discuss the relationship of the increasing load exercise and athletes’cardiopulmo-nary function 25 male professional swimmers reaching the national standard were selected from universities.Theresear data were measured by professional instrument during increasing load exercises.Based on the partial cor-relation coefficient and Bayesian linear regression,we achieve data reduction and screening of important indica-tors,and build linear regression models with different parameter combinations.It is found that:(1)Partial cor-relation analysis revealed that the 11 cardiopulmonary function indexes were significantly correlated with VO2 max;(2)Bayesian linear regression found five indexes,namely oxygen uptake/heart rate(VO2/HR),metabolic equivalent(METS),body weight(Weight),oxygen uptake/body weight(VO2/Kg)and minuteventilation(VE),are most strongly associated with VO2 max;(3)The results of model performance tests re-vealed that four models have high reliability performance(all R^2>0.998,P<0.001).It is concluded that VO2 max has an indirect linear relationship with HR,has a multiple relationship with Weight,and has a close re-lationship with MET and VE.The optimal prediction model is VO2 max=-1656.261+3.401×VE+63.628×VO2/HR+141.724×METS+21.915×weight.

关 键 词:VO2MAX 偏相关分析 贝叶斯线性回归 多元线性回归 预测模型 

分 类 号:G804.22[文化科学—运动人体科学]

 

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