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健康男性和女性的有氧运动训练:通过不同方程确定强度。

Aerobic Training for Healthy Men and Women: Determining Intensities by Different Equations.

机构信息

Laboratory of Bioscience of Human Movement, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil.

Undersecretariat for Welfare and Quality of Life of the Government of the Federal District, Annex of the Palacio do Buriti, Brasilia 70075-900, Brazil.

出版信息

Int J Environ Res Public Health. 2022 Oct 8;19(19):12862. doi: 10.3390/ijerph191912862.

Abstract

UNLABELLED

The aim of this study is to develop equations for aerobic exercise prescription for the intensities of 50, 60, 70 and 80% in healthy subjects of both sexes.

METHOD

This is a cross-sectional study with convenience sampling drawn from a database of 228 healthy subjects who were randomized into the regression group (GR: 197 subjects (male = 143 and female = 54)) and cross-validation group (CVG: 31 individuals [men = 20 and women = 11]). Kohavi's assumptions were followed in relation to cross-validation and bootstrap for precision estimation and model selection. The GR was used to build the estimation equations from the multiple linear regression. The CVG was determined to analyze the validity in the estimation equations. The equations to determine the intensities were constructed by means of multiple regression, the independent variables were determined by the stepwise method, observing the significance level of < 0.05.

RESULTS

The reliability level of Cronbach's alpha of the multiple linear regression equations was moderate for the intensity of 50% (0.51); for the intensities of 60, 70 and 80%, it corresponded to 0.50, 0.53 and 0.57, respectively.

CONCLUSION

The results show that it is possible to apply the equations in the determination of aerobic exercise intensities for healthy individuals. However, the need for further studies in other populations to prove the reliability of the proposed equations is evident.

摘要

未加标签

本研究的目的是为健康受试者的 50%、60%、70%和 80%的有氧运动强度制定方程式。

方法

这是一项横断面研究,采用便利抽样法从 228 名健康受试者的数据库中抽取样本,这些受试者被随机分为回归组(GR:197 名受试者(男性=143 名,女性=54 名))和交叉验证组(CVG:31 名个体[男性=20 名,女性=11 名])。在交叉验证和引导精度估计和模型选择方面遵循了 Kohavi 的假设。GR 用于从多元线性回归中构建估计方程。CVG 用于分析估计方程的有效性。通过多元回归构建确定强度的方程,自变量通过逐步法确定,观察 < 0.05 的显著性水平。

结果

多元线性回归方程的 Cronbach's alpha 可靠性水平对于 50%的强度适中(0.51);对于 60%、70%和 80%的强度,分别对应 0.50、0.53 和 0.57。

结论

结果表明,对于健康个体,可以应用这些方程式来确定有氧运动强度。然而,需要在其他人群中进行进一步的研究,以证明所提出的方程式的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a7/9565959/c06c8796e0b5/ijerph-19-12862-g001.jpg

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