Is the Polar M430 a Valid Tool for Estimating Maximal Oxygen Consumption in Adult Females?

K. Miller, T. Kempf, Brian C. Rider, S. Conger
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Abstract

Background: Previous research studies have found that heart rate monitors that predict maximal oxygen consumption () are valid for males but overestimate in females. Inaccurate self-reported physical activity (PA) levels may affect the validity of the prediction algorithm used to predict . Purpose: To investigate the validity of the Polar M430 in predicting among females with varying PA levels. Methods: Polar M430 was used to predict () for 43 healthy female study participants (26.9 ± 1.3 years), under three conditions: the participant’s self-selected PA category (sPA), one PA category below the sPA (sPA − 1), and one category above the sPA (sPA + 1). Indirect calorimetry was utilized to measure () via a modified Astrand treadmill protocol. Repeated-measures analyses of covariance using age and percentage of body fat as covariates were used to detect differences between groups. Bland–Altman plots were used to assess the precision of the measurement. Results: was significantly correlated with (r = .695, p < .001). The mean values for and were 44.58 ± 9.29 and 43.98 ± 8.76, respectively. No significant differences were found between , , sPA – 1, and sPA + 1 (p = .492). However, the Bland–Altman plots indicated a low level of precision with the estimate. Conclusions: The Polar M430 was a valid method to predict across different sPA levels in females. Moreover, an under/overestimation in sPA had little effect on the predicted .
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极地M430是估计成年女性最大耗氧量的有效工具吗?
背景:先前的研究发现,心率监测仪预测最大耗氧量()对男性有效,但对女性估计过高。不准确的自我报告体力活动(PA)水平可能影响用于预测的预测算法的有效性。目的:探讨Polar M430对不同PA水平女性的预测效度。方法:采用Polar M430预测43名健康女性(26.9±1.3岁)在三种情况下(参与者自选的PA类别(sPA), sPA以下一个类别(sPA−1)和sPA以上一个类别(sPA + 1))的()。通过改进的Astrand跑步机方案,采用间接量热法测量()。使用年龄和体脂百分比作为协变量的协方差重复测量分析来检测组间差异。Bland-Altman图用于评估测量的精度。结果:与(r =。695, p < .001)。平均值分别为44.58±9.29和43.98±8.76。sPA - 1和sPA + 1之间无显著差异(p = .492)。然而,Bland-Altman图显示估计精度较低。结论:Polar M430是预测女性不同sPA水平的有效方法。此外,sPA的过低/过高估计对预测结果影响不大。
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