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[Aerobic power of students aged 13-15 years in Wuhan City]
Yuqiao Ma1, Yanlin Chen1, Xiaofang Li1
1Department of Child, Adolescent and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Objective:
To measure the maximal capacity of students aged 13- 15 years by graded exercise test, and establish a model to indirect predict VO2 max.
Methods:
A total of 31 school-aged students in Wuhan participated in the study. Maximal oxygen uptake was obtained from a graded maximal exercise test, the anthropometric variables including height, weight, vital capacity( VC), resting heart rate, fat mass were measured and body mass index( BMI), body fat percentage( FAT%) was calculated. The relationships between maximal oxygen uptake and anthropometric characteristics were investigated in partial correlation analysis and a linear multiple regression model was established.
Results:
There was a significant difference in mass-relative VO_(2max)[( 48. 00± 5. 80) L / min vs( 39. 79 ± 6. 37) L / min, P < 0. 001], absolute VO_(2max)[( 2. 66 ± 0. 29)m L /( kg·min) vs( 2. 02 ± 0. 36) m L /( kg·min), P < 0. 001], pulse oxygen [( 13. 33 ±1. 28) m L / beat vs( 10. 34 ± 1. 70) m L / beat, P < 0. 001] between the boys and girls respectively. And a statistically significant negative correlation was observed between values of maximal oxygen uptake and weight, BMI, FAT% and resting heart rate( P <0. 05), while lean body mass was positive with VO_(2max)( P < 0. 05). Multiple regression analysis suggested that the best VO_(2max) predictive model of boys was VO_(2max)= 0. 856 +0. 044 × lean body mass- 0. 011 × resting heart rate + 0. 0002 × vital capacity( R =0. 903, R~2= 0. 816), and the prediction equation of girls was follows: VO_(2max)= 4. 769 +0. 044 × lean body mass- 0. 020 × resting heart rate- 0. 254 × age( R = 0. 813, R~2=0. 662).
Conclusion:
The present study suggests that anthropometric characteristics might be closely related with maximal aerobic capacity and can effectively predict the maximal aerobic power.
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