Physical Activity Centre of Excellence, Health Promotion Board, 3 Second Hospital Ave, Singapore 168937.
Singapore Med J. 2013 Oct;54(10):576-80. doi: 10.11622/smedj.2013186.
Cardiorespiratory fitness (CRF) is an independent predictor of voluminous health outcomes and can be measured using non-exercise fitness assessment (NEFA) equations. However, the accuracy of such equations in Asian populations is unknown. The objective of this study was to cross-validate the NEFA equation, developed by Jurca et al in 2005, in the adult Singaporean population.
A total of 100 participants (57 men, 43 women; aged 18-65 years) were recruited, and their maximal oxygen consumption (VO2 max) was measured in the laboratory by indirect calorimetry. The participants also completed the NEFA questionnaire, which helps to predict VO2 max with the NEFA equation. The relationship between NEFA-predicted and laboratory-measured VO2 max values was analysed.
Overall, our study demonstrated a high correlation between the NEFA-predicted and laboratory-measured VO2 max values (r = 0.83). The Pearson's correlation coefficient values for the men and women in the study were 0.61 and 0.77, respectively. To improve the accuracy of the predictive equation, we transformed the original equation developed by Jurca et al into new equations that would allow estimation of VO2 max with and without resting heart rate as a variable.
The modified NEFA equations accurately estimated CRF and may be applied to the majority of adult Singaporeans. With this, health practitioners and researchers are now able to assess CRF levels at both the individual and population levels in either the primary care, fitness or research setting.
心肺适能(CRF)是大量健康结果的独立预测因子,可使用非运动性体能评估(NEFA)方程进行测量。然而,这些方程在亚洲人群中的准确性尚不清楚。本研究的目的是在新加坡成年人群中交叉验证 Jurca 等人在 2005 年开发的 NEFA 方程。
共招募了 100 名参与者(57 名男性,43 名女性;年龄 18-65 岁),并通过间接测热法在实验室中测量了他们的最大耗氧量(VO2 max)。参与者还完成了 NEFA 问卷,该问卷有助于使用 NEFA 方程预测 VO2 max。分析了 NEFA 预测值与实验室测量的 VO2 max 值之间的关系。
总体而言,我们的研究表明 NEFA 预测值与实验室测量的 VO2 max 值之间存在高度相关性(r = 0.83)。研究中男性和女性的 Pearson 相关系数值分别为 0.61 和 0.77。为了提高预测方程的准确性,我们将 Jurca 等人开发的原始方程转换为新的方程,这些方程可以在不考虑静息心率的情况下或考虑静息心率的情况下估计 VO2 max。
经修正的 NEFA 方程可准确估计 CRF,可能适用于大多数新加坡成年人。有了这个,健康从业者和研究人员现在可以在初级保健、健身或研究环境中分别在个体和人群层面评估 CRF 水平。