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Predicting VO2max with an objectively measured physical activity in Japanese women.

机译:通过客观测量日本女性的体力活动来预测最大摄氧量。

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PURPOSE: To investigate the use of the accelerometer-determined physical activity (PA) intensity variables as the objective PA variables for estimating VO2max in Japanese adult women. METHODS: The subjects of this study were 148 Japanese women aged 20 to 69 yr. Maximal oxygen uptake (VO2max) was measured with a maximal incremental test on a bicycle ergometer. Daily step counts (SC) and the amount spent in moderate to vigorous PA (MVPA) and vigorous PA (VPA) were measured using accelerometer-based activity monitors for 7 consecutive days. Using data of age, SC, MVPA, or VPA, and either body mass index (BMI) or waist circumference (WC), the nonexercise VO2max prediction models were derived as BMI models(MVPA), WC models(MVPA), BMI models(VPA), and WC models(VPA), and cross-validated by using two separate cross-validation procedures. RESULTS: SC, MVPA, and VPA were significantly related to VO2max (r = 0.43, r = 0.52, and r = 0.58, respectively). The multiple correlation coefficients for the BMI and WC models(MVAP) were 0.83 and 0.85, respectively, and for the BMI and WC models(VPA), they were 0.85 and 0.86, respectively. The SEE was 3.3 and 3.1 mL x kg(-1) x min(-1) for the BMI and WC models(MVPA), respectively, and it was 3.1 and 3.0 mL x kg(-1) x min(-1) for the BMI and WC models(VPA), respectively. All regression models demonstrated a high level of cross-validity supported by the minor shrinkage of the coefficient of determination and the increment of SEE in the predicted residual sum of squares procedure, and by small constant errors for the subgroups of age, SC, and VO2max between 25 and 35 mL x kg(-1) x min(-1). CONCLUSIONS: This study demonstrated that multiple regression models using data of MVPA or VPA were useful in predicting VO2max for Japanese adult women.
机译:目的:调查使用加速度计确定的体力活动(PA)强度变量作为客观PA变量来估算日本成年女性的VO2max。方法:本研究的受试者为148位20至69岁的日本女性。在自行车测功机上通过最大增量测试来测量最大摄氧量(VO2max)。连续7天使用基于加速度计的活动监视器测量每日步数(SC)和中度至剧烈PA(MVPA)和剧烈PA(VPA)的花费。使用年龄,SC,MVPA或VPA以及体重指数(BMI)或腰围(WC)的数据,得出非运动型VO2max预测模型为BMI模型(MVPA),WC模型(MVPA),BMI模型( (VPA)和WC模型(VPA),并使用两个单独的交叉验证程序进行交叉验证。结果:SC,MVPA和VPA与VO2max显着相关(r = 0.43,r = 0.52和r = 0.58)。 BMI和WC模型(MVAP)的多重相关系数分别为0.83和0.85,而BMI和WC模型(VPA)的多重相关系数分别为0.85和0.86。 BMI和WC模型(MVPA)的SEE分别为3.3和3.1 mL x kg(-1)x min(-1),分别为3.1和3.0 mL x kg(-1)x min(-1)分别用于BMI和WC模型(VPA)。所有回归模型均显示出较高的交叉有效性,这是由确定系数的较小收缩和预测的残差平方和过程中SEE的增加以及年龄,SC和VO2max子组的较小恒定误差支持的25至35 mL x kg(-1)x min(-1)。结论:这项研究表明使用MVPA或VPA数据的多元回归模型可用于预测日本成年女性的最大摄氧量。

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