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青年人峰值氧脉搏推算方程的建立.

Authors :
冯展鹏
姜 岩
冯雪松
Source :
Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu. 10/18/2022, Vol. 26 Issue 29, p4693-4698. 6p.
Publication Year :
2022

Abstract

BACKGROUND: Peak oxygen pulse can reflect the state of cardiovascular function. However, it needs to be measured in the subjects who are at a state of exhaustion using precision instruments under the guidance of professionals. OBJECTIVE: To establish a simple and easy method for evaluating cardiovascular function. METHODS: Totally 140 young people were randomly recruited and their height, body mass, body fat rate, resting heart rate, resting blood pressure, vital capacity, waist circumference, and hip circumference were measured. Each subject wore a gas metabolism analyzer to perform a cardiopulmonary exercise test on an ergometry. Peak oxygen pulse, maximum oxygen uptake, respiratory quotient, and peak heart rate when the subject reached the maximum performance capacity were collected, and the multiple linear regression method was used to establish the regression equation between peak oxygen pulse and body shape and cardiovascular function indicators. RESULTS AND CONCLUSION: The peak oxygen pulse equation was established: peak oxygen pulse (mL/beat)=37.287-3.062×sex+0.114×body mass-0.202×resting heart rate-0.063×systolic blood pressure. The peak oxygen pulse equation was verified to have good reliability by analysis of variance, goodness-of-fit test, Durbin-Watson test, and Shapiro-Wilk test. The back-substitution test indicated that the equation established in this study had good validity. There was no significant difference between the measured and predicted value of peak oxygen pulse, and the correlation reached 0.89. To conclude, the peak oxygen pulse equation using sex, body mass, resting heart rate, and systolic blood pressure was established in this study. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
20954344
Volume :
26
Issue :
29
Database :
Academic Search Index
Journal :
Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu
Publication Type :
Academic Journal
Accession number :
155785004
Full Text :
https://doi.org/10.12307/2022.880