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中青年男性每搏输出量参考值与地理环境的关系 被引量:2

Relationship between young men stroke volume and geographical distribution rule in China
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摘要 目的:探讨中青年男性每搏输出量与地理因素的关系,为制定中青年男性每搏输出量参考值的地理分布规律提供科学的依据。方法:收集全国20个省份68个单位3236例健康中青年男性每搏输出量参考值,运用相关分析和回归分析的方法,研究其与地理因素的关系。结果:每搏输出量参考值与地理因素之间有显著的相关性(F=5.265,P=0.003)。运用SPSS15.0软件中向后法(Backward)对健康中青年男性每搏输出量参考值和地理因素之间的关系进行分析,可以用多元线性回归方程表示为:Y^=1.87+0.02200X2+1.002X3+5.988X7±14.72[^Y是中青年男性每搏输出量参考值(mL),X2是年日照时数(h),X3是年平均气温(℃),X7是年平均风速(m·s-1),14.72是剩余标准差]。可以利用该方式反推。结论:要获得某地中青年男性每搏输出量参考值,可以根据当地的年日照时数、年平均气温及年平均风速通过回归方程计算,得出结果。 Objective To reveal the geographical distribution regularity of normal reference value of young men stroke volume in China,and provide scientific basis for making its unified standard.Methods 3 236cases of normal young men stroke volume from 68units in 20provinces of China were collected.Applying the method of related analysis and regression analysis,the correlations between geographical factors(annual sunshine duration, annual sunshine percentage)and the Chinese normal reference value of young men stroke volume were studied. Results The correlation between geographical factors and the normal reference value of Chinese young men stroke volume was quite significant(F=5.265,P=0.003).Applying the method of Backward in SPSS15.0software, multiple linear regressions between young men stroke volume and geographical factors were founded,one regression equation was inferred:^Y=1.87+0.022 00X2+1.002X3+5.988X7±14.72.In the above equation,Y^was normal reference value of Chinese young men stroke volume(mL),X2was annual sunshine duration (h),X3was annual average temperature(℃),X7 was annual average wind speed(m·s-1),14.72was the value of the residual standard deviation.Conclusion The normal reference value of Chinese young men stroke volume of some area can be reckoned by using the regression equation.
出处 《吉林大学学报(医学版)》 CAS CSCD 北大核心 2010年第6期1171-1174,共4页 Journal of Jilin University:Medicine Edition
基金 国家自然科学基金资助课题(40971060)
关键词 每搏输出量 参考值 地理因素 相关分析 回归分析 stroke volume normal reference value geographical factors related analysis regression analysis
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