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Evaluation of pulmonary function for estimation of peak oxygen consumption through the respiratory gas analysis and allometric equation in boy student
International Journal of Applied Exercise Physiology Pub Date : 2017-04-19 , DOI: 10.22631/ijaep.v6i1.92
Keyvan Hejazi , Seyyed Reza Attarzadeh Hosseini

Purpose: Allometric is a method for the expression of relationship between the physiological variables, anatomical with unit of the body size that through mathematical methods can calculate vital capacity. The aim of this study was to evaluation of pulmonary function for estimation of peak oxygen consumption through the respiratory gas analysis and allometric equation in boy student. Methods: In this causal after the occurrence study, 80 subjects were selected by convenience sampling. Characteristics of anthropometric, chest circumference (diameter and depth of the chest), and for estimation of peak oxygen consumption, Bruce test, where was measured using the validated methods. Data were analyzed using Pearson correlation and multiple regressions in SPSS version 16. Result: There were not significant correlations between TV, IRV, ERV, and FVC with peak oxygen consumption. While, There was significant positive correlation between FVC and peak oxygen consumption (p=0.041 & r=0.229) and between amount of FVC of system with FVC of formula (p=0.00 & r=1.00). A significant correlation between FVC and peak oxygen consumption. According to this result the following model was developed: Vo2max= a+(1.761*FVC)+(0.319*age)+(0.284* chest circumference).Conclusion: The results indicated that There was significant positive correlation between amount of FVC of system with FVC of formula. Therefore, it can be concluded that to gain awareness of maximal oxygen uptake, in the absence of other laboratory methods, can be used allometric equation

中文翻译:

通过呼吸气体分析和等速方程评估男童的肺功能以估计峰值耗氧量

目的:异速测定法是一种表达生理变量之间关系的方法,通过数学方法可以计算出人体的肺活量。这项研究的目的是评估肺功能,通过男童学生的呼吸气体分析和异速方程来估算峰值耗氧量。方法:在事件发生后的因果关系研究中,通过方便抽样选择了80名受试者。人体测量学特征,胸围(直径和胸部深度),以及用于估计峰值耗氧量的布鲁斯试验,均使用经过验证的方法进行测量。在SPSS版本16中使用Pearson相关性和多元回归分析了数据。结果:TV,IRV,ERV,和FVC的耗氧量峰值。而FVC与峰值耗氧量之间(p = 0.041&r = 0.229)以及具有公式FVC的系统FVC量之间存在显着正相关(p = 0.00&r = 1.00)。FVC与峰值耗氧量之间存在显着相关性。根据该结果建立了以下模型:Vo2max = a +(1.761 * FVC)+(0.319 * age)+(0.284 *胸围)。结论:结果表明,系统的FVC量与公式的FVC。因此,可以得出结论,在没有其他实验室方法的情况下,要获得最大摄氧量的认识,可以使用异速方程 229)和具有公式(p = 0.00&r = 1.00)的FVC的系统FVC数量之间。FVC与峰值耗氧量之间存在显着相关性。根据该结果建立了以下模型:Vo2max = a +(1.761 * FVC)+(0.319 * age)+(0.284 *胸围)。结论:结果表明,与公式的FVC。因此,可以得出结论,在没有其他实验室方法的情况下,要获得最大摄氧量的认识,可以使用异速方程 229)和具有公式(p = 0.00&r = 1.00)的FVC的系统FVC数量之间。FVC与峰值耗氧量之间存在显着相关性。根据该结果建立了以下模型:Vo2max = a +(1.761 * FVC)+(0.319 * age)+(0.284 *胸围)。结论:结果表明,系统的FVC量与公式的FVC。因此,可以得出结论,在没有其他实验室方法的情况下,要获得最大摄氧量的认识,可以使用异速方程 结果表明,系统的FVC量与配方的FVC之间存在显着的正相关。因此,可以得出结论,在没有其他实验室方法的情况下,要获得最大摄氧量的认识,可以使用异速方程 结果表明,系统的FVC量与配方的FVC之间存在显着的正相关。因此,可以得出结论,在没有其他实验室方法的情况下,要获得最大摄氧量的认识,可以使用异速方程
更新日期:2017-04-19
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