评估两个非运动回归方程的有效性,以预测最大氧气消耗
Mahmoud Nikseresht1, Carlo Castagna2, Mehdi Nikseresht3
1Ilam Branch, Islamic Azad University.
Research quarterly for exercise and sport
|July 2, 2024
概括
使用非运动数据预测最大氧气消耗 (VO2max) 在伊朗成年人的准确性有限. 然而,这些模型对于中度活跃的个体来说是相当精确的,这表明有针对性的使用潜力.
科学领域:
- 运动生理学 运动生理学
- 心脏呼吸系统健康评估评估
- 生物统计学 生物统计学
背景情况:
- 最大氧气消耗 (VO2max) 是心肺呼吸能力的一个关键指标.
- 使用非运动数据准确预测VO2max对于大规模的健康评估是有价值的.
- 现有的预测模型可能需要在不同人群中进行验证.
研究的目的:
- 开发和验证回归方程,以从健康的伊朗成年男性的非运动数据中预测VO2max.
- 评估这些方程在不同体力活动水平的预测准确性.
主要方法:
- 126名健康的伊朗成年男性接受了最大分级运动测试以确定VO2max.
- 收集了包括年龄,体重指数 (BMI) 和身体脂肪百分比 (BF%) 在内的非运动变量.
- 身体活动评级 (PA-R) 被评估并分为四个级别:久坐,低,中等和高.
主要成果:
- 现有的非运动预测模型在队列中显著低估了VO2max (p < .001).
- 这些模型对中度体力活动水平 (p > .08) 的个体进行了准确的VO2max预测.
- 观察到中等有效性,其类内相关系数 (ICC) 为0.841.
结论:
- 非运动VO2max预测模型对伊朗一般成年男性人口的准确性有限.
- 这些模型在预测中度活跃男性的VO2max时表现出合理的准确性.
- 可能需要进一步的研究来完善特定的人口和活动群体的预测方程.
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